After all, Kottaras, 25, might have a shot to become the knuckleballer's personal batterymate.
The early odds-on favorite for that position is Josh Bard, but anything can happen during spring training. Bard has caught Wakefield in all three of his outings during camp, but Kottaras will get his opportunity to work with the veteran in a game on Thursday.
During their conversation on Sunday, Wakefield told Kottaras to take charge out there and have fun with it. Red Sox manager Terry Francona has said he wants to see how Kottaras can handle the job.
"We need to do that," Francona said.
Bard did a poor job with Wakefield in his last stint with Boston, so the Red Sox need a backup plan.
Many years ago in one of his Baseball Abstracts, Bill James explored the possibility that Ozzie Smith saved the Cardinals 100 runs with his glove (according to Whitey Herzog). James pegged it at closer to 25. Tom Tango looks at the savings a great fielder provides and finds it's about 25 runs. Nice to see different studies years apart come to the same conclusion.
Regardless of the conclusions of any individual study, scientific or otherwise, there is no question that Derek Jeter is nothing less than a solid defender. For anyone to even infer that he may be the worst fielder in all of baseball is simply ridiculous. Truth be told, the current version of Derek Jeter is flashing better leather than the 23-year-old kid who made those costly errors in 1997.
In 2008 Jeter made fewer errors than all but one American League shortstop (Gold Glove winner Michael Young). Yuniesky Betancourt made 21 errors and swung a very average stick. I have yet to see one article proclaiming Betancourt the "least effective" defensive player in the game. Perhaps that's because articles and studies about Yuniesky Betancourt are about as interesting as an Andy Warhol flick. Derek Jeter's celebrity is enormous. I can't think of another shortstop in the big leagues that makes commercials and dates movie stars. Is there a better way to get people talking about your study or newspaper article than to discount the abilities of one of the most recognizable athletes on the planet?
It's not about the errors Jeter makes, it's about all the balls that he never gets a glove on that other shortstops turn into outs. I'm surprised an article like this made it to Dugout Central.
Dombrowski talked about defense as coverage during Saturday's TigerFest at Comerica Park.
"A lot of guys can make the stationary play, but they have no range to their left or right," Dombrowski said. "(Those balls) are base hits, not outs. Brandon Inge and Adam Everett get not only the stationary ball hit at them, but they have range."
Much more range, in fact, than their predecessors, Guillen and Renteria. In plus-minus rankings by Dewan that document how many more, or how many fewer, ground balls are gathered by a particular fielder, Renteria was 28th among shortstops in 2008.
Guillen, who was being asked to adjust to his second new position in one season, was 23rd among third basemen.
It's nice to see these statistics working their way into newspaper articles. However, I'd like to see something on the offensive tradeoffs here.
Nico at Athletics Nation wonders if Oakland signs Giambi if they'll use a shift of infielders to make up for Jason's lack of range. Chase Utley appeared to shade toward first base to help out Ryan Howard this year, so it just might work.
Both PMR and UZR were calculated using the Baseball Info Solutions (BIS) data set this season. I wonder if David or MGL might be able to give some ideas as to where the differences might come from.
I don't know enough about the UZR calculations to speculate. I base my models mostly on visiting players in parks, however. UZR might use all the data. I also don't know if UZR, like +/-, doesn't penalize players for outs made by others. In PMR. If the right fielder catches a ball that the centerfielder might be able to catch, the centerfielder is penalized. In +/-, the centerfielder is not. Given the low correlation with centerfielders, I suspect that's the case.
Ultimate Zone Rating (UZR) is now available on FanGraphs.com. The version on FanGraphs uses BIS data, not STATS, Inc. data, so it will be interesting to see how it compares to the Probabilistic Model of Range, which also uses BIS. Taking a quick look at shortstop, Jeter finishes in the middle of the pack, just like in PMR.
Jeter is really getting hammered in the media for his rank in the Fielding Bible Awards. How many years does he need to rank at the bottom of shortstops before the Yankees move him?
Centerfield, right now, is still open. Put Jeter there where his speed and fly ball instincts work. Especially if the Yankees end up with Derek Lowe, they are going to need a shortstop who can gobble up the ball.
For those of you who are waiting, Probabilistic Model of Range rankings are coming soon.
"I cut across like it was going to go down but it kept rising," said Cameron. "My first instinct was that it was not going to travel, because of the way the wind was blowing. It just kind of took off."
Mike chases fly balls differently than most outfielders. Instead of tracking the ball all the way, Mike developed an excellent pattern recognizer that allows him to judge where the ball will go off the bat and run there without following the ball too closely. Today, that recognizer made a mistake. Despite that, he almost made a great catch.
It's a good thing Corey Hart stands 6' 6". On a Werth fly to right, Corey fought the sun and picked up the ball at the last second. He stretched out his arm and just reached the ball, tumbling up holding on. The catch came with two on and two out and preserved the Brewers 3-1 lead at the end of five.
Then they presented their subjects with two targets moving at the same speed -- one laterally and one in depth -- and asked them to decide which was faster. On average, they said the lateral motion was 1.3 to 2.7 times faster than an object at the identical speed but moving straight at them.
Finally, they asked their subjects to estimate the angle at which an object was approaching them. The trajectory of an object moving close to the midline of vision was consistently harder to predict than objects moving at greater angles to the observer.
In other words, when the object was moving directly toward them, people were terrible at estimating distance, bad at guessing speed and highly inaccurate at predicting trajectory -- a combination all but guaranteed to increase the opposition's batting average.
Very cool. So next time an outfielder misses a hard shot right at him, cut the player some slack.
The Phillies make two nice catches in the top of the sixth against the Dodgers. Loney hit a long drive to deep centerfield, and Shane Victorino ran it down, making it look easy. With Garciaparra at first with two out, Martin hit a pop foul down the rightfield line. Ryan Howard raced down the line dived near the stands and made the catch. The Phillies are known for their offense, but in a 1-1 game they are flashing a little leather.
Howard, who made the great play to end the top of the inning, leads off the bottom half.
Lyle Overbay just saved the game for the Blue Jays. With the score 2-1 in favor of Toronto in the top of the ninth, Alex Rodriguez hits one off the end of the bat that lands over Overbay's head in right. A-Rod wasn't running that hard, thinking it would either be caught or fall for a single. The ball however, rolled away from Lyle, and Alex turned it on for second. Overbay ran the ball down, slid picking it up and made a perfect throw to second to nab Alex. B.J. Ryan retires the last two batters and Toronto wins 2-1. They are now just one game behind the Yankees for third place in the AL East.
Rare poor defense by the Angels allows the Yankees to tie the game in the eighth. Ivan Rodriguez singles (he homered earlier). Melky Cabrera is sent to sacrifice, but Shields falls behind 3-0, and Melky takes two to run the count 3-2. At that point, Justin Christian pinch runs, and starts on the next pitch. Aybar moves to cover second, and Melky grounds one right to him. He's not ready for it, and the ball bounds off his chest for an error. Then, the two attempt a double steal. Figgins is in as Damon squared to bunt, and Mathis throws to a back-peddling Figgins, but the ball goes into leftfield. Christian scores, and the Yankees now have 2nd and 3rd with one out. Usually, it's the Angels speed and the Yankees poor defense that makes the difference between these two teams.
Update: Abreu walks to load the bases. A-Rod hits a grounder to third, but instead of a double play, Figgins bobbles the ball and doesn't get an out. The Yankees take a 10-9 lead.
Update: Cano knocks in two with a single and the Yankees take a 12-9 lead.
Nate DiMeo pens an article for Slate titled, "Derek Jeter vs. Objective Reality." He's asking why there is a disconnect between what fans think of Jeter's defense and what statistical research shows. There's another question he asks as well:
If the sabermetric case against Jeter's glove has long been closed, why do the sabermetricians keep opening it? In an e-mail, Tom Tango joked that Jeter comes up again and again "because he gets far more girls than his fielding talents should allow." And there's probably something to that: The stat guys want to kick a little sand back at the press-box bullies--all of whom seem to have Word macros for phrases like "nerd writing in his mother's basement"--who lazily swallow the myth of Jeter's fielding prowess.
But the better answer is that Jeter's defense is at the heart of the conflict between sabermetrics and traditional baseball fandom. A recent article by Baseball Prospectus' Dan Fox poses the age-old question, "[W]hat would Sir Francis Bacon, the English philosopher and statesman, have thought of Jeter's defense?" Fox, who recently announced his departure from the blog world to join the front office of the Pittsburgh Pirates, looks back to Bacon's notion that people tend to think that memorable incidents define the whole. So we see Jeter flip the ball to Posada or emerge bloodied after leaping into the stands to catch a Trot Nixon foul ball and think "great fielder." Bacon, like today's statistical innovators, would seek out objective scientific data to understand the larger truth about Mr. Jeter. These data show that--yes, Sox fans--Jeter totally sucks.
I would note, too, that the case for OBA was made in quite the same way. Sabermetricans talked and talked about OBA for years before people started to pay attention. It was probably Sandy Alderson who helped move it into the main stream. I remember an ESPN broadcast where Gary Thorne suddenly started praising OBA because Alderson talked about it in an interview.
At some point, a GM will say something like, "We signed him as a free agent, because despite all the errors our probabilistic models show he turns lots of tough hits into outs." Then these models will start gaining acceptance.
I just saw the highlight of Matt Treanor's double play last night. The ball was bunted, and Matt grabbed it out of the air and threw to second for the double play. Seems like a good time to recall this Treanor story.
The Diamondbacks get a two-run homer from Stephen Drew to take a 2-0 lead over the Marlins in the third.
Joe Christensen describes the fielding drill that helped Alexi Casilla make a spectacular play Wednesday night. It's one of the little things Ron Gardenhire works on to make the team better.
Ryan Langerhans is back with the Nationals and just made a possible game saving catch in San Diego. With the score tied at two in the bottom of the eighth, Kevin Kouzmanoff launches one to the stand in leftfield. Ryan leaped, got his glove over the railing, and pulled the ball back in to preserve the tie. He's also singled and driven in a run.
Update: The catch is for naught as Jody Gerut hits a three-run homer down the rightfield line for a 5-2 lead.
Take the play he made in the third inning of last night's 5-3 win over the Mariners: runners at first and second, two outs, when Jose Lopez hit a ball that for all intents and purposes should have gone through into right field for a run-producing hit. Yet Pedroia, who was positioned more toward second base, got a good jump on the ball and made a diving play to the first base side to retire Lopez and keep Bartolo Colon out of peril.
(Actually, there were runners at first and third.)
I saw the play last night and watched it again this morning. It was a nice play by Dustin, the kind that separates a good fielder from a bad one. It's an easy out if the fielder is positioned differently. Pedroia showed on that play what we normally consider range, the ability to cover a lot of ground to get to a ball.
When I run the Probabalistic Model of Range, I define range as the ability to turn a ball into an out. Positioning plays a large role in that. One would expect the players that can make up for being out of position on a ball with their ability to cover ground will tend to score higher in the rankings. Maybe when we get Joe Maddon's GPS system we'll know for sure.
NESN is reporting that Varitek is the first catcher to receive four no hitters. They left Torborg off their graphic as catchers who caught three. Can anyone think of anyone else who caught four?
Add to that Schilling's near no-hitter last season, and Varitek's had quite the low-hit career.
"It's his decision," Texas manager Ron Washington said. "He said he had looked at the team and thought he could help the squad more at first. This is Hank just being a very intelligent baseball man,"
Blalock has played 686 career games at third base and none at first. Washington was giving Blalock some pointers during infield practice Sunday.
The Rangers are sending Blalock to extended spring training in Arizona on Monday. Washington said Blalock will probably stay in Arizona until he comes off the disabled list -- which may be as early as Friday.
"It's a new position for me and I'm not sure how I'll do," Blalock said. "I wouldn't have initiated it if it wasn't something I was excited about."
Blalock was hitting better this season before he tore the hamstring. Rangers this season have gotten a .602 OPS out of their first basemen coming into Sunday's games.
You don't see this too often. Kuroda strikes out Aybar, but the pitch is not caught cleanly. With a man on second and two out, Aybar starts running to first. The catcher, Bennett, throws the ball over the head of the first baseman down the leftfield line. Kotchman scores from second, and Aybar turns on the afterburner and reaches third base. A strikeout triple! The Angels take a 1-0 lead in the fourth.
The club that bobbled balls, missed cut-off men, made errant throws and beat itself to start the season has morphed into one that is putting together an impressive highlight reel of defensive plays, adding four more to the collection Tuesday.
And it isn't just the defense. These Rangers are manufacturing runs, running the bases smartly, delivering key hits, and, most important, pitching well. Consequently, they are winning games.
That's true, but everyonce in a while the wind shifts back to the old ways. A bobbled ground ball and a mis-read line drive lead to two innings in the seventh inning today, giving the Mariners a 3-2 lead. Scott Feldman pitched very well today, but the two unearned runs mean he's now in line for a loss.
Update: Hamilton makes up for the misplayed line drive with a sacrifice fly in the bottom of the eighth to tie the game at three.
With men on first and third and two out in the top of the ninth, Franklin Gutierrez came up with the second great dive of the game. Mench hit a high liner into right center. It looked like it would drop to plate the first run of the game, but it hung up just long enough for Franklin to get over and make the diving catch. Two batters earlier, with a man on second, Rios hit a hard line drive snared by Victor Martinez at first. Lee completes nine scoreless innings to lower his ERA to 0.67. Now the Indians need to plate a run to get him a win.
Marcum is out of the game after eight innings. Ryan tries to preserve the tie.
Update: Ryan gets two popups as he retires the side in order. The game will be decided in extra innings. The Indians still have just two hits.
Update: Stewart breaks the scoreless tie in the tenth, and Hill follows with a two-run single to give Toronto a 3-0 lead.
Asdrubal Cabrera just turned an unassisted triple play behind Cliff Lee. This offense (Toronto) has become comically bad.
The Indians, of course, have the only unassisted triple play in World Series history, way back in 1920. This evening, the runners were going, Overbay hit a line drive that Asdrubal caught on a dive. The runners had already advanced a base, so Cabrera just had to tag the base and the runner from first to complete the TP. The game remains scoreless in the top of the sixth.
It must be tough to see pop ups in foul area on the third base side in Arizona. Mark Reynolds over-ran a ball near the stands earlier, and just now Schneider called off Wright, then lost the ball. The Mets lead 2-1 in the bottom of the fifth.
With the bases loaded and one out and the Phillies trailing 3-0, second baseman Chase Utley launched himself parallel to the infield dirt and somehow managed to snag Clint Barmes' hard-hit chopper that seemed destined for centerfield. After landing flat on his torso, he raised his glove and shoveled the ball to shortstop Eric Bruntlett, who made a quick throw to first base for an inning-ending doubleplay.
"After the game, I told him 'Thank you,' " said righthander Kyle Kendrick, who pitched five innings and gave up all five Rockies runs on home runs by Yorvit Torrealba and Garrett Atkins.
Utley saved two runs, for sure.
Who knows how many may have followed?
"Bases loaded, it kind of slowed them down a little bit," Utley said. "A base hit there obviously would have hurt a lot."
Power and defense at second base is a rare combination. Morgan and Sandberg are the only two in my lifetime who did both extremely well. Utley was among the best second baseman in range as measured by PMR last season.
The Tigers broadcast pointed out something about the defensive alignment against Magglio Ordonez. The first baseman is playing way off the line, in what would usually be the hole between second and first. According to them, Ordonez hit a good many balls there last season, and few down the first base line. It's a good defensive adjustment so far, as they've kept Magglio's average down to .264.
When I was in college, my roommates and I used to kid that the threshold for an error was set too low. Our opinion was that if the greatest fielder at the position would have made the play, then it should go as an error.
With Kyle Lohse at the plate and the bases loaded, he slapped a ball to the left of Counsell at third. Counsell was in, he dove, but the ball went under his glove for a two-run single. Since Graig Nettles would have not only snagged the ball, but turned it into a double play, Counsell should really get an E5.. :-)
By the way, I love Brian Barton's socks. He's mixed a 50s uniform with a wild hairdo. The contrast looks great.
Alexei Ramirez starts in centerfield for the White Sox today and makes a spectacular throw to get Emil Brown. Brown hit a ball into the gap in right-center. Ramirez got to the hit in a hurry, grabbed the ball spun and threw a strike to second base without setting himself. Brown was out by a mile. Alexei showed off everything on that play; speed, soft hands, and an accurate and powerful arm. Look for that play on Web Gems tonight.
I don't think of Victor Martinez as a defensive catcher, but he just made a great play on Coco Crisp. Crisp laid a bunt down the third base line that died at the grass cut out in front of the plate. Martinez sprang like a cat on the ball threw off balance and got Crisp at first. He showed quickness and a strong, accurate arm on that play.
Orlando Cabrera made a rare poor play for the White Sox. With a man on first, he ranged to his right for a ground ball off the bat of Polanco. Cabrera got there in time, but the ball skipped under his glove. He appeared to be looking for a higher bounce. The official scorer gave Polanco a hit, and a double play cleared the extra runner. The White Sox and Tigers are tied at five in the top of the fifth. Carlos Quentin hit his first home run for the pale hose.
Emil Brown hits a ball to the warning track in straight away center than Ellsbury catches with a backward leap. He crashes into the wall but holds on to the ball. The NESN announcers are calling it a great catch, but I think he leaped too early. If he stays on his feet and keeps running I think he gets under the ball. Still, and out's and out, and it must be difficult playing under that white ceiling.
The A's go 1-2-3 in the eighth. The Sox have three outs to get one run. Lowell, Moss and Varitek are due up.
"The thing I've learned is that you have to change your training," Giambi said. "It stunk going through everything, but it all was a blessing in disguise. Even tearing my foot."
Giambi did much more sprint work this off-season and worked on explosive techniques that made him quicker on his feet.
"A few years ago I would have said there was no chance I'd be training like I am now," said Giambi, who was batting .406 this spring. Tino Martinez is surprised at how well Giambi is playing.
"He's actually moving around better than I thought," Martinez said. "I think he was feeling tentative in the past. The whole key is moving your feet but not being afraid to make a mistake. You don't want to hold the ball when you got an easy out at second and just get the guy at first. In the past he would do that. Now he's not afraid to go and get lead runners. That really helps the pitching staff."
We'll see long that lasts during the regular season. Having Giambi at first, however, gives the Yankees their best offensive team.
But what is being missed here is the preponderance of evidence against Jeter's defensive game. This is not just one set of Ivy League academics calling Jeter the majors' worst fielding shortstop. Just about every respected baseball statistician who has publicized results reveals Jeter is, at best, among the poorest defensive shortstops in the game.
You can attack methodology; you can say no perfect formula has yet been devised to encapsulate all the elements - positioning, speed of the hit ball, field conditions - into a single defensive statistic. However, these metrics keep evolving in sophistication. And Jeter keeps faring poorly in nearly every study year after year. Do you think there is a conspiracy? Do you think statisticians en masse have covertly met and made their quest to soil Jeter's glovely reputation?
"This study has been done a zillion times and the same conclusion is reached every time," an AL official said. "What do you think that means?"
For Jeter devotees, it means assailing the geeks. But as an AL executive said, "this isn't geeks vs. jocks. This is myth vs. reality." In reality, most baseball officials laugh off the three Gold Gloves Jeter won from 2004-06 in the way they do the four Bernie Williams won as having more to do with offense, fame and winning than with actual defense.
I'm very glad this debate is now fully out in the open. It's easy to dismiss one study, but when all of them point in the same direction, year after year, people start to notice. It looks like one of those people was indeed Jeter:
Perhaps the strongest condemnation came from Jeter, who said, "Last year, I didn't have a good year defensively."
It doesn't sound like much, especially since Jeter limited a serial inadequacy to just 2007. Except Jeter is not one to ever publicly apologize for, or criticize, his own game. But this is more than words with Jeter. He rededicated himself in the offseason with exercises designed to improve his lateral quickness and first-step explosiveness. One Yankee official saw this version of Jeter and said, "He set the clock back five years."
"I'm a lot quicker, a lot more agile," Jeter said. "Only time will tell, but that is what I worked on."
Many scouts believe Jeter would be able to make an easy transition to the outfield, where his speed, strong arm and terrific instincts would make him a natural. Asked about the possibility, Jeter waves off the question before it's finished.
"I ain't going out there," Jeter said. "It's not as easy as it sounds to just pick up a glove and say, 'I'm going to be an outfielder today.' It doesn't work like that."
As for his current position, Jeter feels he's a better shortstop now than he was during the early years of his career thanks to experience. By making the necessary adjustments on a regular basis, Jeter is constantly addressing what he feels are his strengths and weaknesses in the field. Just don't ask him what those are.
"I'll leave that to the computers to figure out," he said with a grin.
"Maybe it was a computer glitch," the three-time Gold Glove winner said of the report. But Jeter just didn't laugh this one off. He defended himself, saying, "Every [shortstop] doesn't stay in the same spot, everyone doesn't have the same pitching. Everyone doesn't have the same hitters running, it's impossible to do that."
Jeter, 33, pointed out you can get the exact same ground ball off the exact same pitcher and there could be an average runner or there could be Ichiro running. "How can you compute that?" he asked.
You can't. That's one reason Yankees senior advisor Gene Michael was infuriated by the University of Pennsylvania report.
"Something like that is a disgrace," the scout said. "It made me ill when I read that article. First of all, what pitching staff was out there? Each team has a different staff. Derek doesn't really have a sinkerball pitching staff whereas other shortstops, you sit behind certain pitchers, you're going to get a lot of ground balls.
"You simply can't do that by those charts, that's a bunch of baloney," Michael added. "It's disgraceful. You have to use a scout's eye to determine range."
Of course, we do take most of those factors into account. For every Ichiro running to first, there's a Jason Giambi. Over time, those factors even out. As for the pitching staff, the Yankees have undergone numerous changes over the last few years, and somehow Derek stays at the bottom of the pack.
I'd also like to comment on one thing from the FanHouse post (emphasis added):
Baseball's different. It's very easy to watch Jeter fly deep in the hole, plant, pivot and gun a runner and come to the conclusion that he's a great fielder. It's a pretty play, full of athleticism and grace and that's more memorable than a grounder that finds a hole or a double play that doesn't get turned. That doesn't make it more important, though. These kinds of analysis help us understand baseball in its fullest context. That context, however, doesn't matter much when Jeter cuts off a poor throw, flips it to the plate and saves a run.
04 September 2006: New York Yankees shortstop Derek Jeter makes a throw to 1st base but is unable to get Kansas City Royals center fielder Joey Gathright out in the 5th inning at Kauffman Stadium in Kansas City, MO. Photo: Icon SMI
If Jeter actually planted and pivoted in the hole, I think his numbers would be better. What he actually does is stop, jump and throw, using only his arm to get the ball to first. His movement is more like a skater transferring kinetic energy from the horizontal to the vertical with a toe pick. None of that energy is being used to hurl the ball toward first base. I cringe every time he tries to make that play, because no matter how good it looks, it's the wrong way to throw. If he stopped, planted and used his whole body to send the ball across the diamond, he'd make a stronger and more accurate throw. How many times does that toss pull the first baseman off the bag or sail over his head? David Eckstein can make the plant and throw play, why can't the bigger and stronger Jeter?
Update: 100% Injury Rate chimes in. He points to some old data that shows Jeter wasn't the best fielding shortstop on his team, with the same pitching staff. The same things shows up in 2007 PMR. As a team, the Yankees shortstops produced 38 fewer outs than expected. Jeter, however, produced forty fewer outs than expected! So the replacements were a bit better.
Alan Schwarz, during the talk, wondered if this was more a reflection of strategy on the part of the Rockies as opposed a Garrett Atkins fielding deficiency. Apparently not.
Last spring, rookie Troy Tulowitzki had to take it. This year, as a rich, budding star, he's dishing it out.
Saturday, Tulo's target was third baseman Garrett Atkins.
"Atkins doesn't do much over there," Tulowitzki said with a sly grin. "He kind of just stands there and watches balls."
Tulowitzki was kidding, but there's a element of truth there. Note that the Rockies didn't lock up Atkins long term.
One criticism leveled at the Probabilistic Model of Range this year is that due to building the models based on the visiting team fielders, teams with good offenses get a bonus defensively. The example given is the Yankees, but there are other high offense teams ranked high in terms of PMR.
The idea is that since the Yankees hit well, their opponents DER must by definition be low. A ball put in play by the Yankees must have a lower probability of being turned into an out. This causes the model to underestimate the fielding ability of opponents, and over estimate the fielding ability of the Yankees. If the model contained one parameter, ballpark, then this would be absolutely true. However, there are six parameters, including a vector indicating the direction of the ball. I propose that the Yankees hit better than their opponents not because a random ball in play has a higher probability of falling for a hit, but because the Yankees do a better job of hitting balls where they are tough to field.
The following table shows the number of ground balls hit by the Yankees and their opponents by vector:
Vector
Yankees
Opponents
Predicted DER
25
4
4
0.000
26
12
14
0.000
27
37
26
0.766
28
118
57
0.898
29
175
118
0.706
30
193
156
0.671
31
148
119
0.844
32
111
82
0.934
33
164
136
0.868
34
114
105
0.585
35
100
74
0.535
36
117
124
0.624
37
101
108
0.617
38
116
150
0.838
39
119
131
0.865
40
163
139
0.764
41
165
174
0.550
42
110
130
0.688
43
61
55
0.847
44
35
40
0.572
45
7
13
0.010
46
5
5
0.000
As you can see, the low probability vectors are 29-30, the shortstop hole, 34-37, up the middle, 41-42, the second base hole, and 44, right down the first base line. I'm not looking at the foul vectors where a ball is always a hit. Breaking these down:
Ground balls
Yankees
Opponents
In Holes
1110
1029
At Fielders
882
895
So the Yankees hit more grounders where they are less likely to be fielded, and fewer grounders where they are more likely to be fielded than their opponents. Later I want to look at how the Yankees field home and road. If they field much better at home, then the objection still my have some validity.
Probabilistic Model of Range, Pitchers, 2007 Permalink
To complete the survery of range, here are how pitchers rank. First the teams:
Team Pitchers PMR, 2007, Visit Smooth Distance Model, 2007 data only
Team
In Play
Actual Outs
Predicted Outs
DER
Predicted DER
Ratio
Astros
4530
205
183.71
0.045
0.041
111.59
Padres
4476
243
228.50
0.054
0.051
106.35
Rockies
4599
218
206.59
0.047
0.045
105.52
Indians
4548
181
171.92
0.040
0.038
105.28
Mets
4362
173
164.61
0.040
0.038
105.09
White Sox
4545
196
186.52
0.043
0.041
105.08
Yankees
4511
181
172.92
0.040
0.038
104.67
Tigers
4486
167
159.73
0.037
0.036
104.55
Red Sox
4226
149
142.79
0.035
0.034
104.35
Mariners
4535
174
167.33
0.038
0.037
103.99
Blue Jays
4349
200
194.00
0.046
0.045
103.09
Phillies
4505
193
187.33
0.043
0.042
103.02
Pirates
4608
204
200.82
0.044
0.044
101.58
Cubs
4177
166
163.95
0.040
0.039
101.25
Rangers
4518
197
195.59
0.044
0.043
100.72
Braves
4404
206
204.60
0.047
0.046
100.69
Devil Rays
4378
148
147.07
0.034
0.034
100.63
Twins
4384
150
152.30
0.034
0.035
98.49
Orioles
4403
160
162.54
0.036
0.037
98.44
Nationals
4591
167
170.78
0.036
0.037
97.78
Marlins
4491
178
182.52
0.040
0.041
97.52
Angels
4325
143
146.86
0.033
0.034
97.37
Giants
4467
159
163.87
0.036
0.037
97.03
Diamondbacks
4351
207
213.40
0.048
0.049
97.00
Cardinals
4587
158
166.21
0.034
0.036
95.06
Athletics
4499
165
174.70
0.037
0.039
94.45
Brewers
4392
179
192.64
0.041
0.044
92.92
Dodgers
4310
189
205.96
0.044
0.048
91.76
Reds
4533
162
180.13
0.036
0.040
89.93
Royals
4528
151
179.20
0.033
0.040
84.27
The Padres not only induce the most predicted outs back to the pitcher, they exceed those outs by a great deal. Maddux is one reason:
Individual Pitcher PMR, 2007, Visit Smooth Distance Model, 2007 data only (400 balls in play)
Player
In Play
Actual Outs
Predicted Outs
DER
Predicted DER
Ratio
Chris Sampson
414
24
15.23
0.058
0.037
157.55
Matt Cain
571
26
19.79
0.046
0.035
131.37
Chad Durbin
417
15
11.48
0.036
0.028
130.65
Shaun Marcum
456
27
20.71
0.059
0.045
130.37
Steve Trachsel
549
35
26.89
0.064
0.049
130.17
Mike Mussina
512
27
20.84
0.053
0.041
129.54
Woody Williams
632
36
27.90
0.057
0.044
129.04
Aaron Cook
572
37
28.69
0.065
0.050
128.98
Miguel Batista
615
26
20.17
0.042
0.033
128.92
Jon Garland
705
34
26.84
0.048
0.038
126.66
Kelvim Escobar
572
17
13.58
0.030
0.024
125.21
Wandy Rodriguez
536
21
16.87
0.039
0.031
124.46
Greg Maddux
681
53
42.87
0.078
0.063
123.64
Ervin Santana
457
13
10.59
0.028
0.023
122.72
Jake Peavy
571
30
24.58
0.053
0.043
122.03
Brandon Webb
692
53
43.55
0.077
0.063
121.69
Mike Bacsik
414
15
12.35
0.036
0.030
121.42
Tim Wakefield
600
24
19.83
0.040
0.033
121.05
Carlos Zambrano
610
30
25.00
0.049
0.041
119.98
Javier Vazquez
583
28
23.46
0.048
0.040
119.34
Adam Eaton
525
22
18.49
0.042
0.035
119.00
Nate Robertson
573
27
22.77
0.047
0.040
118.56
John Danks
427
15
12.83
0.035
0.030
116.94
James Shields
615
26
22.26
0.042
0.036
116.80
Justin Verlander
577
17
14.69
0.029
0.025
115.76
Chien-Ming Wang
643
34
29.61
0.053
0.046
114.84
Carlos Silva
699
27
23.54
0.039
0.034
114.70
John Smoltz
586
30
26.16
0.051
0.045
114.69
Dustin McGowan
484
31
27.18
0.064
0.056
114.04
Justin Germano
426
21
18.42
0.049
0.043
114.04
Ted Lilly
586
24
21.09
0.041
0.036
113.81
Dontrelle Willis
667
39
34.32
0.058
0.051
113.64
Kyle Davies
432
16
14.08
0.037
0.033
113.60
Sergio Mitre
522
29
25.58
0.056
0.049
113.35
Daisuke Matsuzaka
555
24
21.21
0.043
0.038
113.18
Joe Blanton
750
28
25.10
0.037
0.033
111.54
Jake Westbrook
481
27
24.51
0.056
0.051
110.17
Andy Sonnanstine
408
14
12.81
0.034
0.031
109.28
Matt Chico
548
16
14.77
0.029
0.027
108.33
Jamie Moyer
633
30
27.83
0.047
0.044
107.81
Johan Santana
555
24
22.27
0.043
0.040
107.75
Tom Glavine
674
27
25.15
0.040
0.037
107.37
C.C. Sabathia
701
24
22.47
0.034
0.032
106.80
Brett Tomko
415
16
14.99
0.039
0.036
106.77
Jarrod Washburn
627
20
18.81
0.032
0.030
106.33
Noah Lowry
502
23
21.69
0.046
0.043
106.02
Jeremy Guthrie
527
21
19.85
0.040
0.038
105.81
Chris Capuano
456
28
26.47
0.061
0.058
105.77
Fausto Carmona
654
36
34.14
0.055
0.052
105.43
Roy Halladay
722
36
34.31
0.050
0.048
104.94
Mark Buehrle
648
33
31.47
0.051
0.049
104.86
Bronson Arroyo
661
27
25.79
0.041
0.039
104.71
David Bush
594
24
23.12
0.040
0.039
103.80
Kyle Kendrick
401
20
19.29
0.050
0.048
103.69
David Wells
545
20
19.32
0.037
0.035
103.52
Erik Bedard
431
17
16.46
0.039
0.038
103.29
Jeff Suppan
708
34
32.99
0.048
0.047
103.05
Barry Zito
608
21
20.40
0.035
0.034
102.94
Jason Marquis
626
25
24.34
0.040
0.039
102.70
Jeff Francis
662
30
29.40
0.045
0.044
102.04
Kameron Loe
464
28
27.74
0.060
0.060
100.93
Livan Hernandez
704
38
37.71
0.054
0.054
100.78
Paul Maholm
583
30
29.99
0.051
0.051
100.02
Matt Morris
693
28
28.14
0.040
0.041
99.50
Kip Wells
522
20
20.10
0.038
0.039
99.48
Ian Snell
606
20
20.14
0.033
0.033
99.33
Odalis Perez
494
18
18.33
0.036
0.037
98.20
John Maine
527
17
17.37
0.032
0.033
97.86
Cole Hamels
495
23
23.78
0.046
0.048
96.70
Chad Gaudin
603
21
21.76
0.035
0.036
96.51
A.J. Burnett
414
15
15.67
0.036
0.038
95.73
Mike Maroth
417
17
17.85
0.041
0.043
95.22
Tim Hudson
722
41
43.25
0.057
0.060
94.81
Felix Hernandez
567
26
27.45
0.046
0.048
94.73
Jered Weaver
514
18
19.04
0.035
0.037
94.51
Brian Bannister
540
20
21.19
0.037
0.039
94.40
Oliver Perez
483
11
11.65
0.023
0.024
94.40
Micah Owings
461
22
23.32
0.048
0.051
94.34
Kyle Lohse
615
22
23.48
0.036
0.038
93.71
Jeff Weaver
511
10
10.72
0.020
0.021
93.32
Chuck James
484
15
16.10
0.031
0.033
93.18
Tom Gorzelanny
642
24
25.76
0.037
0.040
93.18
Roy Oswalt
675
36
38.80
0.053
0.057
92.79
Adam Wainwright
654
28
30.29
0.043
0.046
92.44
Jose Contreras
647
22
23.80
0.034
0.037
92.43
Scott Kazmir
534
16
17.46
0.030
0.033
91.64
Lenny DiNardo
430
15
16.48
0.035
0.038
91.04
Derek Lowe
604
27
29.69
0.045
0.049
90.95
Andy Pettitte
690
26
28.59
0.038
0.041
90.93
Paul Byrd
686
21
23.15
0.031
0.034
90.72
Aaron Harang
642
23
25.44
0.036
0.040
90.42
Doug Davis
597
32
36.17
0.054
0.061
88.47
Scott Olsen
578
21
23.75
0.036
0.041
88.41
Josh Fogg
556
21
23.79
0.038
0.043
88.26
Scott Baker
454
13
14.84
0.029
0.033
87.58
Rich Hill
527
21
23.98
0.040
0.046
87.57
Brad Penny
643
25
28.93
0.039
0.045
86.41
Kevin Millwood
571
16
18.75
0.028
0.033
85.32
John Lackey
668
24
28.71
0.036
0.043
83.60
Braden Looper
581
19
23.06
0.033
0.040
82.41
Chad Billingsley
400
17
20.94
0.043
0.052
81.18
Josh Beckett
566
11
13.68
0.019
0.024
80.41
Vicente Padilla
407
12
15.11
0.029
0.037
79.44
Chris Young
448
11
14.27
0.025
0.032
77.08
Claudio Vargas
419
14
18.20
0.033
0.043
76.91
Edwin Jackson
516
12
15.91
0.023
0.031
75.43
Jeremy Bonderman
533
14
18.78
0.026
0.035
74.53
Boof Bonser
539
14
18.92
0.026
0.035
74.00
Jorge de la Rosa
431
11
15.32
0.026
0.036
71.79
Gil Meche
663
20
28.05
0.030
0.042
71.31
Julian Tavarez
455
11
15.86
0.024
0.035
69.38
Brad Thompson
451
10
14.58
0.022
0.032
68.61
Matt Belisle
570
15
22.66
0.026
0.040
66.18
Dan Haren
661
17
26.01
0.026
0.039
65.36
Daniel Cabrera
608
13
20.82
0.021
0.034
62.44
Ben Sheets
431
11
19.19
0.026
0.045
57.31
Curt Schilling
485
7
12.87
0.014
0.027
54.40
Peavy is also very good, however. Looking at Schilling's low ranking should give his opponents a clue as to his weakness next season. Bunting for hits against Curt might be a very good idea.
Probabilistic Model of Range, Catchers, 2007 Permalink
Fielding by catchers isn't the most important aspect of the job, and the number of outs attributed to the postion are few. But for completeness, here are the tables for the position. First, teams:
Team Catchers PMR, 2007, Visit Smooth Distance Model, 2007 data only
Team
In Play
Actual Outs
Predicted Outs
DER
Predicted DER
Ratio
Cardinals
4587
57
47.59
0.012
0.010
119.76
Braves
4404
64
55.33
0.015
0.013
115.67
Rockies
4599
76
66.39
0.017
0.014
114.48
Yankees
4511
66
59.51
0.015
0.013
110.90
Dodgers
4310
68
62.43
0.016
0.014
108.91
Angels
4325
39
35.96
0.009
0.008
108.47
Marlins
4491
57
53.73
0.013
0.012
106.09
Nationals
4591
60
57.21
0.013
0.012
104.87
Astros
4530
58
55.59
0.013
0.012
104.33
Tigers
4486
50
47.96
0.011
0.011
104.25
White Sox
4545
50
49.10
0.011
0.011
101.82
Giants
4467
58
57.06
0.013
0.013
101.64
Cubs
4177
51
50.42
0.012
0.012
101.15
Reds
4533
74
73.68
0.016
0.016
100.44
Blue Jays
4349
50
49.79
0.011
0.011
100.42
Royals
4528
46
45.90
0.010
0.010
100.22
Rangers
4518
48
48.05
0.011
0.011
99.90
Red Sox
4226
49
49.56
0.012
0.012
98.88
Devil Rays
4378
41
41.89
0.009
0.010
97.88
Indians
4548
36
37.23
0.008
0.008
96.70
Diamondbacks
4351
50
51.94
0.011
0.012
96.26
Padres
4476
59
61.48
0.013
0.014
95.97
Orioles
4403
37
38.96
0.008
0.009
94.97
Mariners
4535
42
44.86
0.009
0.010
93.63
Pirates
4608
51
54.75
0.011
0.012
93.15
Phillies
4505
56
60.25
0.012
0.013
92.95
Twins
4384
30
32.50
0.007
0.007
92.32
Athletics
4499
37
41.10
0.008
0.009
90.03
Mets
4362
50
56.67
0.011
0.013
88.22
Brewers
4392
51
59.91
0.012
0.014
85.13
The Mets are Brewers, who just completed a trade at the position, came out at the bottom team wise. New York might have been better off with Torrealba, at least fielding wise.
Individual Catcher PMR, 2007, Visit Smooth Distance Model, 2007 data only (1000 balls in play)
Player
In Play
Actual Outs
Predicted Outs
DER
Predicted DER
Ratio
Yadier Molina
2719
32
26.82
0.012
0.010
119.33
Brian McCann
3433
52
43.65
0.015
0.013
119.14
Yorvit Torrealba
2863
54
45.73
0.019
0.016
118.07
Miguel Olivo
3131
44
37.90
0.014
0.012
116.11
Jorge Posada
3484
50
43.52
0.014
0.012
114.90
Eric Munson
1012
17
15.02
0.017
0.015
113.21
Jeff Mathis
1421
21
18.96
0.015
0.013
110.78
Jose Molina
1431
16
14.52
0.011
0.010
110.18
Kelly Shoppach
1365
14
12.72
0.010
0.009
110.07
Gerald Laird
3118
37
33.82
0.012
0.011
109.40
Russell Martin
3687
60
55.76
0.016
0.015
107.60
Gregg Zaun
2559
32
29.91
0.013
0.012
106.98
Brad Ausmus
2728
33
31.07
0.012
0.011
106.22
Chris Iannetta
1613
20
18.83
0.012
0.012
106.20
Toby Hall
1002
10
9.45
0.010
0.009
105.82
Gary Bennett
1223
15
14.18
0.012
0.012
105.75
Jesus Flores
1258
21
19.87
0.017
0.016
105.69
Ivan Rodriguez
3216
41
38.98
0.013
0.012
105.19
John Buck
2879
30
28.52
0.010
0.010
105.18
Brian Schneider
3333
39
37.34
0.012
0.011
104.43
Mike Napoli
1814
12
11.53
0.007
0.006
104.09
Miguel Montero
1629
20
19.57
0.012
0.012
102.20
Javier Valentin
1494
20
19.72
0.013
0.013
101.42
Bengie Molina
3389
42
41.51
0.012
0.012
101.17
Mike Rabelo
1270
9
8.99
0.007
0.007
100.16
Dave Ross
2603
46
46.32
0.018
0.018
99.32
A.J. Pierzynski
3270
37
37.40
0.011
0.011
98.92
Ronny Paulino
3423
40
40.81
0.012
0.012
98.02
Michael Barrett
2291
33
33.76
0.014
0.015
97.74
Ramon Hernandez
2617
24
24.82
0.009
0.009
96.71
Josh Bard
2761
38
39.31
0.014
0.014
96.67
Mike Redmond
1461
11
11.42
0.008
0.008
96.30
Kurt Suzuki
1696
14
14.61
0.008
0.009
95.82
Paul Lo Duca
2922
33
34.63
0.011
0.012
95.29
Dioner Navarro
2901
25
26.29
0.009
0.009
95.09
Jason LaRue
1537
16
16.89
0.010
0.011
94.72
Jason Kendall
3448
31
32.85
0.009
0.010
94.37
Carlos Ruiz
2802
44
46.89
0.016
0.017
93.83
Jason Varitek
3061
33
35.49
0.011
0.012
92.99
Chris Snyder
2611
26
28.37
0.010
0.011
91.64
Johnny Estrada
2922
36
39.51
0.012
0.014
91.12
Kenji Johjima
3548
32
35.22
0.009
0.010
90.85
Rob Bowen
1268
11
12.14
0.009
0.010
90.59
Jarrod Saltalamacchia
1201
11
12.25
0.009
0.010
89.78
Victor Martinez
3183
22
24.51
0.007
0.008
89.76
Joe Mauer
2331
16
18.22
0.007
0.008
87.83
Paul Bako
1290
8
9.42
0.006
0.007
84.90
Matt Treanor
1317
13
15.83
0.010
0.012
82.12
Jason Phillips
1025
7
8.88
0.007
0.009
78.82
Damian Miller
1367
13
17.73
0.010
0.013
73.30
Two of the old men, Posada and Ivan Rodriguez, are still cat like behind the plate.
Probabilistic Model of Range, Firstbasemen, 2007 Permalink
Here's a look at the range of first basemen. First, the team table. The Yankees at least did a good job of improving their defense at the position:
Team First Basemen PMR, 2007, Visit Smooth Distance Model, 2007 data only
Team
In Play
Actual Outs
Predicted Outs
DER
Predicted DER
Ratio
Cardinals
4587
366
329.22
0.080
0.072
111.17
Yankees
4511
314
285.78
0.070
0.063
109.87
Giants
4467
325
304.72
0.073
0.068
106.66
Royals
4528
315
296.64
0.070
0.066
106.19
Padres
4476
311
295.59
0.069
0.066
105.21
Cubs
4177
283
269.44
0.068
0.065
105.03
Braves
4404
320
306.86
0.073
0.070
104.28
Angels
4325
308
296.32
0.071
0.069
103.94
Pirates
4608
315
304.66
0.068
0.066
103.39
Rockies
4599
336
326.21
0.073
0.071
103.00
Astros
4530
335
328.42
0.074
0.072
102.00
Red Sox
4226
323
321.65
0.076
0.076
100.42
Brewers
4392
294
293.80
0.067
0.067
100.07
Diamondbacks
4351
292
292.06
0.067
0.067
99.98
Devil Rays
4378
316
317.18
0.072
0.072
99.63
Blue Jays
4349
337
339.17
0.077
0.078
99.36
Orioles
4403
273
277.29
0.062
0.063
98.45
Athletics
4499
303
310.84
0.067
0.069
97.48
Dodgers
4310
285
293.60
0.066
0.068
97.07
Mariners
4535
297
308.37
0.065
0.068
96.31
Mets
4362
285
296.03
0.065
0.068
96.27
White Sox
4545
309
321.66
0.068
0.071
96.06
Indians
4548
295
307.96
0.065
0.068
95.79
Tigers
4486
296
310.16
0.066
0.069
95.44
Rangers
4518
283
297.18
0.063
0.066
95.23
Phillies
4505
302
317.82
0.067
0.071
95.02
Marlins
4491
291
307.52
0.065
0.068
94.63
Twins
4384
311
337.63
0.071
0.077
92.11
Reds
4533
263
290.87
0.058
0.064
90.42
Nationals
4591
270
299.99
0.059
0.065
90.00
It looks like the Nationals missed Nick Johnson's glove at first base. It's even more evident in the individual listing:
Individual First Basemen PMR, 2007, Visit Smooth Distance Model, 2007 data only (1000 balls in play)
Player
In Play
Actual Outs
Predicted Outs
DER
Predicted DER
Ratio
Doug Mientkiewicz
1427
109
92.24
0.076
0.065
118.17
Rich Aurilia
1115
70
59.31
0.063
0.053
118.02
Andy Phillips
1325
93
80.91
0.070
0.061
114.95
Albert Pujols
4220
349
308.82
0.083
0.073
113.01
Ryan Shealy
1336
88
78.66
0.066
0.059
111.87
Derrek Lee
3691
254
239.65
0.069
0.065
105.99
Casey Kotchman
3085
225
214.03
0.073
0.069
105.12
Adrian Gonzalez
4401
307
292.23
0.070
0.066
105.06
Tony Clark
1345
98
93.58
0.073
0.070
104.72
Scott Thorman
1859
126
120.75
0.068
0.065
104.35
Todd Helton
4170
306
293.61
0.073
0.070
104.22
Ryan Klesko
2504
190
183.08
0.076
0.073
103.78
Ben Broussard
1057
72
69.60
0.068
0.066
103.45
James Loney
2355
168
162.45
0.071
0.069
103.42
Ross Gload
2169
153
148.21
0.071
0.068
103.23
Carlos Pena
3708
277
268.41
0.075
0.072
103.20
Adam LaRoche
4141
283
274.52
0.068
0.066
103.09
Nick Swisher
1075
91
88.68
0.085
0.082
102.61
Kevin Youkilis
3208
253
249.42
0.079
0.078
101.44
Matt Stairs
1024
86
85.07
0.084
0.083
101.10
Lance Berkman
3315
229
229.22
0.069
0.069
99.91
Lyle Overbay
2887
221
221.32
0.077
0.077
99.86
Prince Fielder
4073
266
271.21
0.065
0.067
98.08
Conor Jackson
2647
173
176.80
0.065
0.067
97.85
Mark Teixeira
3404
240
246.41
0.071
0.072
97.40
Carlos Delgado
3649
244
251.39
0.067
0.069
97.06
Kevin Millar
2666
171
176.83
0.064
0.066
96.70
Robert Fick
1221
80
82.79
0.066
0.068
96.64
Aubrey Huff
1295
67
69.45
0.052
0.054
96.47
Ryan Howard
3871
263
274.29
0.068
0.071
95.88
Paul Konerko
3864
256
267.48
0.066
0.069
95.71
Richie Sexson
3137
201
210.24
0.064
0.067
95.61
Aaron Boone
1219
85
89.73
0.070
0.074
94.72
Brad Wilkerson
1444
82
86.94
0.057
0.060
94.32
Ryan Garko
3271
209
223.33
0.064
0.068
93.58
Sean Casey
3100
198
211.63
0.064
0.068
93.56
Dan Johnson
2679
166
177.43
0.062
0.066
93.56
Justin Morneau
3872
281
302.07
0.073
0.078
93.02
Mike Jacobs
2821
170
183.72
0.060
0.065
92.53
Jeff Conine
1595
86
94.78
0.054
0.059
90.74
Scott Hatteberg
2457
144
160.66
0.059
0.065
89.63
Nomar Garciaparra
1678
106
118.73
0.063
0.071
89.28
Dmitri Young
2808
162
184.81
0.058
0.066
87.66
Once again, Albert Pujols comes out on top among every day first basemen. If the Yankees had kept Miguel Cairo off first, they might have finished first as a team. Not only did Nomar not hit like a first baseman, he didn't even field well.
Probabilistic Model of Range, Leftfielders, 2007 Permalink
Here's something the Orioles excelled at during 2007, fielding by leftfielders:
Team Leftfielders PMR, 2007, Visit Smooth Distance Model, 2007 data only
Team
In Play
Actual Outs
Predicted Outs
DER
Predicted DER
Ratio
Orioles
4403
362
343.61
0.082
0.078
105.35
Indians
4548
339
325.23
0.075
0.072
104.23
Braves
4404
316
306.69
0.072
0.070
103.04
Rangers
4518
337
327.32
0.075
0.072
102.96
Nationals
4591
352
341.94
0.077
0.074
102.94
Yankees
4511
334
324.93
0.074
0.072
102.79
Brewers
4392
322
314.81
0.073
0.072
102.28
Mets
4362
324
317.91
0.074
0.073
101.91
Padres
4476
310
305.07
0.069
0.068
101.62
Royals
4528
373
367.39
0.082
0.081
101.53
Devil Rays
4378
339
334.26
0.077
0.076
101.42
Cubs
4177
341
337.65
0.082
0.081
100.99
Diamondbacks
4351
349
345.83
0.080
0.079
100.92
Blue Jays
4349
294
292.63
0.068
0.067
100.47
Dodgers
4310
288
287.78
0.067
0.067
100.08
Angels
4325
340
341.60
0.079
0.079
99.53
Giants
4467
314
317.61
0.070
0.071
98.86
Tigers
4486
327
331.60
0.073
0.074
98.61
Marlins
4491
274
278.60
0.061
0.062
98.35
Astros
4530
285
290.69
0.063
0.064
98.04
Athletics
4499
337
344.34
0.075
0.077
97.87
White Sox
4545
318
325.73
0.070
0.072
97.63
Pirates
4608
303
310.81
0.066
0.067
97.49
Rockies
4599
317
326.69
0.069
0.071
97.03
Reds
4533
326
336.27
0.072
0.074
96.95
Twins
4384
334
345.60
0.076
0.079
96.64
Phillies
4505
282
295.91
0.063
0.066
95.30
Red Sox
4226
284
299.24
0.067
0.071
94.91
Cardinals
4587
320
346.16
0.070
0.075
92.44
Mariners
4535
288
315.31
0.064
0.070
91.34
Among individuals, Matt Diaz had a career year with the glove as well as the bat.
Individual Leftfielder PMR, 2007, Visit Smooth Distance Model, 2007 data only (1000 balls in play)
Player
In Play
Actual Outs
Predicted Outs
DER
Predicted DER
Ratio
Matt Diaz
2064
155
142.05
0.075
0.069
109.11
Jose Cruz
1099
89
82.33
0.081
0.075
108.10
Joey Gathright
1595
154
142.69
0.097
0.089
107.93
Jay Payton
2776
231
214.85
0.083
0.077
107.52
David Dellucci
1210
97
91.32
0.080
0.075
106.22
Scott Hairston
1689
115
108.48
0.068
0.064
106.01
Wily Mo Pena
1126
68
64.97
0.060
0.058
104.66
Ryan Church
2304
196
188.59
0.085
0.082
103.93
Geoff Jenkins
2985
243
234.55
0.081
0.079
103.60
Carl Crawford
3623
286
276.65
0.079
0.076
103.38
Hideki Matsui
3091
214
207.16
0.069
0.067
103.30
Adam Lind
1969
137
132.73
0.070
0.067
103.22
Jason Michaels
1567
117
113.59
0.075
0.072
103.00
Reggie Willits
1557
151
146.83
0.097
0.094
102.84
Reed Johnson
1518
108
105.47
0.071
0.069
102.40
Emil Brown
1909
155
153.22
0.081
0.080
101.16
Eric Byrnes
2924
239
236.90
0.082
0.081
100.89
Alfonso Soriano
3074
245
243.79
0.080
0.079
100.50
Rob Mackowiak
1468
98
97.52
0.067
0.066
100.49
Kenny Lofton
1189
82
82.28
0.069
0.069
99.66
Willie Harris
1873
138
139.21
0.074
0.074
99.13
Ryan Ludwick
1011
86
86.83
0.085
0.086
99.04
Frank Catalanotto
1540
98
99.82
0.064
0.065
98.18
Jason Bay
3974
266
271.62
0.067
0.068
97.93
Luis Gonzalez
3008
192
196.31
0.064
0.065
97.81
Matt Holliday
4331
296
303.68
0.068
0.070
97.47
Carlos Lee
4244
261
268.68
0.061
0.063
97.14
Moises Alou
2105
138
142.80
0.066
0.068
96.64
Shannon Stewart
3606
277
287.12
0.077
0.080
96.47
Kevin Mench
1139
55
57.41
0.048
0.050
95.81
Craig Monroe
2512
166
174.76
0.066
0.070
94.99
Garret Anderson
2169
143
150.84
0.066
0.070
94.81
Scott Podsednik
1421
108
114.15
0.076
0.080
94.61
Josh Willingham
3653
211
223.26
0.058
0.061
94.51
Adam Dunn
3691
245
259.98
0.066
0.070
94.24
Terrmel Sledge
1192
77
82.16
0.065
0.069
93.72
Barry Bonds
2588
162
173.93
0.063
0.067
93.14
Jason Kubel
2153
159
172.31
0.074
0.080
92.27
Raul Ibanez
3559
224
243.95
0.063
0.069
91.82
Manny Ramirez
2925
182
198.85
0.062
0.068
91.53
Chris Duncan
2437
158
175.74
0.065
0.072
89.90
Pat Burrell
3176
176
198.31
0.055
0.062
88.75
There's no real surprises at the bottom of the list. Bonds, however, fell off quite a bit. He was average in 2006, but well below average in 2007. You can also see that there are few regular leftfielders. Only twelve players on the list were on the field at that position for at least 3000 balls in play.
Probabilistic Model of Range, Rightfielders, 2007 Permalink
The following table presents probabilistic model of range data for team rightfielders:
Team Rightfielders PMR, 2007, Visit Smooth Distance Model, 2007 data only
Team
In Play
Actual Outs
Predicted Outs
DER
Predicted DER
Ratio
Phillies
4505
363
328.75
0.081
0.073
110.42
Rangers
4518
341
317.30
0.075
0.070
107.47
Yankees
4511
341
328.36
0.076
0.073
103.85
Royals
4528
410
397.12
0.091
0.088
103.24
Nationals
4591
392
381.19
0.085
0.083
102.84
Indians
4548
313
304.41
0.069
0.067
102.82
Marlins
4491
379
368.66
0.084
0.082
102.81
Astros
4530
360
354.55
0.079
0.078
101.54
Brewers
4392
393
387.42
0.089
0.088
101.44
Diamondbacks
4351
336
331.82
0.077
0.076
101.26
Athletics
4499
330
327.02
0.073
0.073
100.91
Blue Jays
4349
281
278.50
0.065
0.064
100.90
Cubs
4177
303
301.51
0.073
0.072
100.50
Angels
4325
311
310.00
0.072
0.072
100.32
Padres
4476
331
331.59
0.074
0.074
99.82
Twins
4384
306
307.17
0.070
0.070
99.62
Tigers
4486
318
319.88
0.071
0.071
99.41
Red Sox
4226
287
289.46
0.068
0.068
99.15
Mets
4362
340
343.80
0.078
0.079
98.89
Orioles
4403
314
317.86
0.071
0.072
98.79
Braves
4404
331
336.45
0.075
0.076
98.38
Devil Rays
4378
309
314.27
0.071
0.072
98.32
Reds
4533
377
384.09
0.083
0.085
98.15
Pirates
4608
312
319.06
0.068
0.069
97.79
Cardinals
4587
316
323.36
0.069
0.070
97.72
White Sox
4545
345
354.49
0.076
0.078
97.32
Dodgers
4310
317
326.76
0.074
0.076
97.01
Giants
4467
338
349.14
0.076
0.078
96.81
Mariners
4535
305
323.57
0.067
0.071
94.26
Rockies
4599
296
316.91
0.064
0.069
93.40
As shown below, Jayson Werth and Shane Victorino made quite the dynamic duo in rightfield for the Phillies. My uncle Anthony will not be happy with this list, however. He's a Yankees season ticket holder and he loves to tell me how much Bobby Abreu is afraid of the wall. It looks like he's still getting to lots of balls.
Individual Rightfielder PMR, 2007, Visit Smooth Distance Model, 2007 data only (1000 balls in play)
Player
In Play
Actual Outs
Predicted Outs
DER
Predicted DER
Ratio
Jayson Werth
1389
109
95.35
0.078
0.069
114.32
Shane Victorino
2837
229
210.62
0.081
0.074
108.72
Nick Swisher
1289
109
101.65
0.085
0.079
107.23
Carlos Quentin
1718
138
129.11
0.080
0.075
106.89
Franklin Gutierrez
1757
136
128.55
0.077
0.073
105.79
Nelson Cruz
1922
148
141.26
0.077
0.073
104.77
Luke Scott
2560
198
190.34
0.077
0.074
104.02
Bobby Abreu
4148
313
302.45
0.075
0.073
103.49
Corey Hart
2641
253
246.33
0.096
0.093
102.71
Austin Kearns
4356
375
366.16
0.086
0.084
102.41
Mark Teahen
3663
318
311.33
0.087
0.085
102.14
Alex Rios
3730
243
240.17
0.065
0.064
101.18
Travis Buck
1561
110
109.03
0.070
0.070
100.89
Jeremy Hermida
3035
247
245.88
0.081
0.081
100.46
Randy Winn
2686
209
208.12
0.078
0.077
100.42
Delmon Young
3463
252
251.16
0.073
0.073
100.33
Trot Nixon
2140
129
129.17
0.060
0.060
99.86
Michael Cuddyer
3749
256
256.95
0.068
0.069
99.63
Nick Markakis
4279
303
306.74
0.071
0.072
98.78
Magglio Ordonez
3835
261
264.54
0.068
0.069
98.66
Jeff Francoeur
4356
328
333.45
0.075
0.077
98.37
Jermaine Dye
3682
284
289.80
0.077
0.079
98.00
Shawn Green
2771
203
207.55
0.073
0.075
97.81
Vladimir Guerrero
2819
208
213.12
0.074
0.076
97.60
Matt Kemp
1851
129
132.50
0.070
0.072
97.36
Brian Giles
3199
216
223.54
0.068
0.070
96.63
J.D. Drew
3128
212
219.98
0.068
0.070
96.37
Ken Griffey Jr.
3649
291
302.61
0.080
0.083
96.16
Andre Ethier
2315
177
184.39
0.076
0.080
95.99
Xavier Nady
2390
162
168.97
0.068
0.071
95.88
Jose Guillen
4063
268
284.73
0.066
0.070
94.13
Juan Encarnacion
1983
125
132.90
0.063
0.067
94.06
Jack Cust
1205
79
84.93
0.066
0.070
93.01
Brad Hawpe
3851
247
267.07
0.064
0.069
92.48
Cliff Floyd
1185
69
78.30
0.058
0.066
88.12
Mark Teahen did a much better job of adjusting to rightfield than Ken Griffey, Jr. Of course, Junior is old and slow, and with all the injuries might be better off as a DH in AL at this point.
Probabilistic Model of Range, Second Basemen, 2007 Permalink
Here are the PMR numbers for second basemen. First the team stats.
Team Second Basemen PMR, 2007, Visit Smooth Distance Model, 2007 data only
Team
In Play
Actual Outs
Predicted Outs
DER
Predicted DER
Ratio
Reds
4533
517
470.97
0.114
0.104
109.77
Phillies
4505
507
486.30
0.113
0.108
104.26
Yankees
4511
551
528.65
0.122
0.117
104.23
Diamondbacks
4351
536
514.78
0.123
0.118
104.12
Rangers
4518
561
541.66
0.124
0.120
103.57
Twins
4384
508
491.17
0.116
0.112
103.43
Athletics
4499
610
592.38
0.136
0.132
102.97
Blue Jays
4349
589
574.80
0.135
0.132
102.47
Tigers
4486
505
494.43
0.113
0.110
102.14
Royals
4528
453
444.63
0.100
0.098
101.88
Red Sox
4226
524
515.37
0.124
0.122
101.67
Rockies
4599
558
548.82
0.121
0.119
101.67
Angels
4325
505
497.11
0.117
0.115
101.59
Mariners
4535
554
546.62
0.122
0.121
101.35
Nationals
4591
491
485.03
0.107
0.106
101.23
Indians
4548
564
557.26
0.124
0.123
101.21
Orioles
4403
534
528.33
0.121
0.120
101.07
White Sox
4545
467
466.32
0.103
0.103
100.15
Mets
4362
493
494.92
0.113
0.113
99.61
Cubs
4177
471
476.31
0.113
0.114
98.88
Brewers
4392
447
456.43
0.102
0.104
97.93
Braves
4404
521
533.24
0.118
0.121
97.70
Pirates
4608
428
440.07
0.093
0.096
97.26
Devil Rays
4378
493
507.26
0.113
0.116
97.19
Dodgers
4310
480
494.92
0.111
0.115
96.99
Cardinals
4587
509
525.15
0.111
0.114
96.92
Padres
4476
556
575.50
0.124
0.129
96.61
Marlins
4491
463
487.55
0.103
0.109
94.96
Giants
4467
450
478.37
0.101
0.107
94.07
Astros
4530
461
495.20
0.102
0.109
93.09
Looking at the teams at the bottom of the list, old second basemen are a detriment to defense. Not only did Biggio at second not help the Astros offensively, it hurt them defensively as well. Now for the individual players.
Individual Second Base PMR, 2007, Visit Smooth Distance Model, 2007 data only (1000 balls in play)
Player
In Play
Actual Outs
Predicted Outs
DER
Predicted DER
Ratio
Brandon Phillips
4288
488
442.09
0.114
0.103
110.38
Chase Utley
3571
410
386.97
0.115
0.108
105.95
Jose Valentin
1123
154
145.56
0.137
0.130
105.80
Orlando Hudson
3552
435
412.20
0.122
0.116
105.53
Esteban German
1248
117
111.06
0.094
0.089
105.35
Ian Kinsler
3581
459
438.84
0.128
0.123
104.59
Ronnie Belliard
3168
337
322.49
0.106
0.102
104.50
Robinson Cano
4380
532
509.76
0.121
0.116
104.36
Josh Barfield
3237
396
381.63
0.122
0.118
103.76
Mark Ellis
4119
561
540.88
0.136
0.131
103.72
Kaz Matsui
2634
335
323.55
0.127
0.123
103.54
Aaron Hill
4230
576
558.01
0.136
0.132
103.22
B.J. Upton
1305
174
168.87
0.133
0.129
103.04
Placido Polanco
3724
420
409.07
0.113
0.110
102.67
Jose Lopez
3899
486
475.59
0.125
0.122
102.19
Mike Fontenot
1343
152
148.82
0.113
0.111
102.14
Howie Kendrick
2222
276
270.90
0.124
0.122
101.88
Alexi Casilla
1262
144
141.60
0.114
0.112
101.70
Mark Grudzielanek
3021
312
307.78
0.103
0.102
101.37
Luis Castillo
3569
370
365.52
0.104
0.102
101.23
Tadahito Iguchi
3285
359
354.84
0.109
0.108
101.17
Geoff Blum
1481
178
176.84
0.120
0.119
100.65
Brian Roberts
4068
487
487.37
0.120
0.120
99.92
Dustin Pedroia
3365
417
417.32
0.124
0.124
99.92
Kevin Frandsen
1044
111
112.56
0.106
0.108
98.61
Danny Richar
1554
152
154.45
0.098
0.099
98.42
Jamey Carroll
1396
165
168.34
0.118
0.121
98.02
Adam Kennedy
2060
250
256.18
0.121
0.124
97.59
Freddy Sanchez
4064
378
387.80
0.093
0.095
97.47
Kelly Johnson
3474
412
423.58
0.119
0.122
97.27
Felipe Lopez
1208
129
134.76
0.107
0.112
95.72
Jeff Kent
3237
355
372.41
0.110
0.115
95.33
Mark DeRosa
2056
223
234.54
0.108
0.114
95.08
Marcus Giles
2883
364
383.01
0.126
0.133
95.04
Aaron Miles
1834
183
194.00
0.100
0.106
94.33
Dan Uggla
4310
438
466.30
0.102
0.108
93.93
Rickie Weeks
3003
301
320.45
0.100
0.107
93.93
Ray Durham
3183
320
343.81
0.101
0.108
93.08
Craig Biggio
2878
283
308.32
0.098
0.107
91.79
Brendan Harris
1206
110
124.59
0.091
0.103
88.29
Rickie Weeks and Dan Uggla need to be at the top of their offensive games to stay at this important defensive position.
Probabilistic Model of Range, Centerfielders, 2007 Permalink
Here are the team rankings for centerfielders:
Team Centerfielder PMR, 2007, Visit Smooth Distance Model, 2007 data only
Team
In Play
Actual Outs
Predicted Outs
DER
Predicted DER
Ratio
Mariners
4535
452
423.84
0.100
0.093
106.64
Red Sox
4226
481
452.99
0.114
0.107
106.18
Tigers
4486
468
445.78
0.104
0.099
104.98
Cubs
4177
414
400.21
0.099
0.096
103.45
Mets
4362
464
449.88
0.106
0.103
103.14
Braves
4404
431
421.41
0.098
0.096
102.28
Dodgers
4310
379
371.16
0.088
0.086
102.11
Rockies
4599
414
407.81
0.090
0.089
101.52
Padres
4476
409
404.18
0.091
0.090
101.19
Cardinals
4587
417
412.78
0.091
0.090
101.02
Reds
4533
455
451.03
0.100
0.100
100.88
Giants
4467
438
437.08
0.098
0.098
100.21
Nationals
4591
486
485.40
0.106
0.106
100.12
Royals
4528
424
425.45
0.094
0.094
99.66
Yankees
4511
468
470.38
0.104
0.104
99.49
Phillies
4505
418
421.10
0.093
0.093
99.26
Twins
4384
415
418.19
0.095
0.095
99.24
White Sox
4545
415
418.55
0.091
0.092
99.15
Angels
4325
441
445.14
0.102
0.103
99.07
Marlins
4491
453
458.41
0.101
0.102
98.82
Astros
4530
433
439.56
0.096
0.097
98.51
Blue Jays
4349
366
372.05
0.084
0.086
98.37
Pirates
4608
448
456.67
0.097
0.099
98.10
Diamondbacks
4351
406
414.42
0.093
0.095
97.97
Indians
4548
413
422.64
0.091
0.093
97.72
Rangers
4518
388
399.38
0.086
0.088
97.15
Athletics
4499
398
410.38
0.088
0.091
96.98
Orioles
4403
409
423.66
0.093
0.096
96.54
Devil Rays
4378
419
444.79
0.096
0.102
94.20
Brewers
4392
410
437.27
0.093
0.100
93.76
The Mariners come out on top of the Red Sox overall, but Boston has the better individual fielder:
Individual Centerfielder PMR, 2007, Visit Smooth Distance Model, 2007 data only (1000 balls in play)
Player
In Play
Actual Outs
Predicted Outs
DER
Predicted DER
Ratio
Coco Crisp
3560
408
377.29
0.115
0.106
108.14
Ichiro Suzuki
4233
424
394.49
0.100
0.093
107.48
Felix Pie
1169
120
112.75
0.103
0.096
106.43
Curtis Granderson
3995
424
402.22
0.106
0.101
105.42
Jacque Jones
1911
195
187.25
0.102
0.098
104.14
Darin Erstad
1117
105
101.18
0.094
0.091
103.77
Willy Taveras
2274
212
204.80
0.093
0.090
103.52
So Taguchi
1190
118
114.17
0.099
0.096
103.35
Ryan Church
1024
118
114.35
0.115
0.112
103.19
Andruw Jones
4080
396
385.38
0.097
0.094
102.76
Juan Pierre
4215
366
356.47
0.087
0.085
102.67
Josh Hamilton
1702
168
163.71
0.099
0.096
102.62
Carlos Beltran
3733
389
380.89
0.104
0.102
102.13
Johnny Damon
1211
121
118.84
0.100
0.098
101.82
Gary Matthews Jr.
3462
362
356.66
0.105
0.103
101.50
Mike Cameron
4016
365
360.75
0.091
0.090
101.18
Nook Logan
2398
248
245.18
0.103
0.102
101.15
Norris Hopper
1280
133
132.11
0.104
0.103
100.67
Dave Roberts
2334
224
222.68
0.096
0.095
100.59
Torii Hunter
4034
389
389.12
0.096
0.096
99.97
David DeJesus
4256
400
400.98
0.094
0.094
99.76
Alfredo Amezaga
2005
208
208.88
0.104
0.104
99.58
Jim Edmonds
2688
244
245.68
0.091
0.091
99.32
Aaron Rowand
4243
392
394.89
0.092
0.093
99.27
Hunter Pence
2636
260
261.99
0.099
0.099
99.24
Chris Duffy
1693
172
174.17
0.102
0.103
98.75
Melky Cabrera
3297
347
351.54
0.105
0.107
98.71
Rajai Davis
1162
124
125.75
0.107
0.108
98.60
Ryan Freel
1419
136
138.16
0.096
0.097
98.44
Vernon Wells
3813
321
326.31
0.084
0.086
98.37
Grady Sizemore
4383
399
407.44
0.091
0.093
97.93
Jerry Owens
2294
208
212.80
0.091
0.093
97.75
Chris Young
3824
354
364.20
0.093
0.095
97.20
B.J. Upton
2014
204
210.16
0.101
0.104
97.07
Mark Kotsay
1492
141
145.40
0.095
0.097
96.98
Nick Swisher
1515
139
144.94
0.092
0.096
95.90
Marlon Byrd
1541
114
119.68
0.074
0.078
95.25
Nate McLouth
1583
142
150.82
0.090
0.095
94.15
Kenny Lofton
2219
188
199.69
0.085
0.090
94.15
Corey Patterson
3225
281
298.69
0.087
0.093
94.08
Bill Hall
3159
295
314.62
0.093
0.100
93.76
Elijah Dukes
1010
82
92.28
0.081
0.091
88.86
Note to that the shift of Bill Hall to center worked neither offensively nor defensively. Andruw Jones may not be as good as he once was, but he can still go get the ball.
I will say this again just so his fanboys won't think I am engaging in gratuitous Jeter bashing:
Derek Jeter is a hall of fame offensive player. He could end up over 3,500 hits in his career. He is a great and loyal Yankee. He's a smart player and an excellent hitter in the 2 hole. Yes. Yes. Yes.
But the point is the Yanks must entertain the idea of moving Jeter to another position. I suggest first base, but he could also handle the outfield or even 3B.
The right move for the Yankees would have been to move Jeter to center when they acquired A-Rod, and push Bernie to DH.
Probabilistic Model of Range, Shortstops Permalink
A number of people are suggesting new ways to construct the models, but before I try those methods I'd like to present the model used last year for the nine fielding positions, starting with shortstops. I am including something new, however, the full team at the position.
Team Shortstop PMR, 2007, Visit Smooth Distance Model, 2007 data only
Team
In Play
Actual Outs
Predicted Outs
DER
Predicted DER
Ratio
Rockies
4599
657
602.67
0.143
0.131
109.01
Twins
4384
556
523.57
0.127
0.119
106.19
Dodgers
4310
556
526.50
0.129
0.122
105.60
Royals
4528
543
514.33
0.120
0.114
105.57
Blue Jays
4349
567
544.69
0.130
0.125
104.09
Phillies
4505
531
516.45
0.118
0.115
102.82
Indians
4548
571
558.76
0.126
0.123
102.19
Pirates
4608
588
575.51
0.128
0.125
102.17
Red Sox
4226
500
492.12
0.118
0.116
101.60
Giants
4467
592
584.51
0.133
0.131
101.28
Diamondbacks
4351
493
488.99
0.113
0.112
100.82
Brewers
4392
501
497.76
0.114
0.113
100.65
Angels
4325
502
498.77
0.116
0.115
100.65
Marlins
4491
508
506.53
0.113
0.113
100.29
Mariners
4535
515
514.50
0.114
0.113
100.10
Orioles
4403
505
506.89
0.115
0.115
99.63
Astros
4530
561
563.85
0.124
0.124
99.49
Braves
4404
516
520.04
0.117
0.118
99.22
Cardinals
4587
539
544.84
0.118
0.119
98.93
Reds
4533
496
502.70
0.109
0.111
98.67
Athletics
4499
531
538.40
0.118
0.120
98.62
Padres
4476
536
544.49
0.120
0.122
98.44
Mets
4362
506
518.72
0.116
0.119
97.55
Cubs
4177
481
495.42
0.115
0.119
97.09
White Sox
4545
563
580.23
0.124
0.128
97.03
Tigers
4486
517
536.95
0.115
0.120
96.28
Rangers
4518
531
556.38
0.118
0.123
95.44
Devil Rays
4378
441
466.20
0.101
0.106
94.59
Nationals
4591
532
566.26
0.116
0.123
93.95
Yankees
4511
478
516.85
0.106
0.115
92.48
The above table will give you an idea of how the regular shortstop fit in the team context. You might imagine that Troy Tulowitzki was very good and Derek Jeter very bad:
Individual Shortstop PMR, 2007, Visit Smooth Distance Model, 2007 data only (1000 balls in play)
Player
In Play
Actual Outs
Predicted Outs
DER
Predicted DER
Ratio
Troy Tulowitzki
4294
615
564.54
0.143
0.131
108.94
Tony F Pena
4010
480
449.44
0.120
0.112
106.80
Rafael Furcal
3574
473
445.28
0.132
0.125
106.23
John McDonald
2389
311
294.27
0.130
0.123
105.69
Jason Bartlett
3631
466
443.58
0.128
0.122
105.05
Jimmy Rollins
4447
528
511.62
0.119
0.115
103.20
Jack Wilson
3657
470
457.15
0.129
0.125
102.81
Yunel Escobar
1116
135
131.47
0.121
0.118
102.69
Jhonny Peralta
4206
512
502.37
0.122
0.119
101.92
Omar Vizquel
3739
504
497.76
0.135
0.133
101.25
Julio Lugo
3592
431
426.14
0.120
0.119
101.14
Adam Everett
1631
217
214.61
0.133
0.132
101.12
Orlando Cabrera
3997
462
456.91
0.116
0.114
101.11
Alex Gonzalez
2728
306
306.06
0.112
0.112
99.98
J.J. Hardy
3873
442
442.35
0.114
0.114
99.92
Cesar Izturis
1904
216
216.36
0.113
0.114
99.83
Bobby Crosby
2524
313
313.77
0.124
0.124
99.75
Stephen Drew
3877
434
435.25
0.112
0.112
99.71
Hanley Ramirez
4054
460
462.96
0.113
0.114
99.36
Ryan Theriot
2494
301
303.06
0.121
0.122
99.32
Khalil Greene
4206
504
507.64
0.120
0.121
99.28
Mark Loretta
1537
177
178.28
0.115
0.116
99.28
Yuniesky Betancourt
4103
464
467.60
0.113
0.114
99.23
Edgar Renteria
3067
361
365.13
0.118
0.119
98.87
Eric Bruntlett
1075
131
132.81
0.122
0.124
98.63
Royce Clayton
1538
200
202.77
0.130
0.132
98.63
Marco Scutaro
1064
122
124.14
0.115
0.117
98.28
Juan Uribe
4113
513
524.43
0.125
0.128
97.82
Jose Reyes
4295
500
511.97
0.116
0.119
97.66
David Eckstein
3002
349
357.57
0.116
0.119
97.60
Miguel Tejada
3317
363
373.46
0.109
0.113
97.20
Jeff Keppinger
1209
130
135.67
0.108
0.112
95.82
Carlos Guillen
3361
389
408.05
0.116
0.121
95.33
Felipe Lopez
2949
359
377.76
0.122
0.128
95.03
Michael Young
4083
476
504.85
0.117
0.124
94.29
Josh Wilson
1340
141
151.37
0.105
0.113
93.15
Brendan Harris
2336
234
253.12
0.100
0.108
92.45
Derek Jeter
4117
421
461.63
0.102
0.112
91.20
Cristian Guzman
1189
117
130.96
0.098
0.110
89.34
Troy really blew the competition away in terms of PMR, and Tony Pena did his best to make up for his poor hitting. And while New York enjoys two fine offensive shortstops, neither exactly sparkles with the glove. You can also see why the Tigers are moving Carlos Guillen to first. Michael Young may not be far behind him.
Rawlings presented the 2007 Gold Glove winners today. Maddux set a record with his 17th. David Wright won at third base, which I think would make it difficult for the Mets to move him to first if they sign A-Rod. Four outfielders won the NL award as there was a tie in the voting.
Probabilistic Model of Range, Defense Behind Pitchers Permalink
One thing PMR can measure is the luck of pitchers by looking at the predicted DER and actual DER behind them. The following table rates pitchers with at least 300 balls in play against them:
Probabilistic Model of Range, Defense Behind Pitchers, 2007. Visit Smoothed Distance Model. 2007 Data Only
Pitcher
Team
In Play
Actual Outs
Predicted Outs
DER
Predicted DER
Ratio
Chien-Ming Wang
NYY
643
448
414.94
0.697
0.645
107.97
Jeremy Guthrie
Bal
527
375
356.60
0.712
0.677
105.16
Dustin McGowan
Tor
484
346
330.21
0.715
0.682
104.78
Sean Marshall
ChC
330
231
221.12
0.700
0.670
104.47
Roger Clemens
NYY
307
215
205.94
0.700
0.671
104.40
Brian Bannister
KC
540
393
376.52
0.728
0.697
104.38
Jarrod Washburn
Sea
627
440
422.32
0.702
0.674
104.19
Mike Bacsik
Was
414
291
279.42
0.703
0.675
104.14
Tom Glavine
NYM
674
474
455.80
0.703
0.676
103.99
Jason Hirsh
Col
340
252
242.53
0.741
0.713
103.91
Ted Lilly
ChC
586
427
411.59
0.729
0.702
103.74
Braden Looper
StL
581
416
401.23
0.716
0.691
103.68
Chris Sampson
Hou
414
292
281.66
0.705
0.680
103.67
Cole Hamels
Phi
495
348
336.00
0.703
0.679
103.57
Brad Penny
LAD
643
450
435.62
0.700
0.677
103.30
Dontrelle Willis
Fla
667
442
428.96
0.663
0.643
103.04
Yovani Gallardo
Mil
318
216
209.67
0.679
0.659
103.02
Jesse Litsch
Tor
371
259
251.51
0.698
0.678
102.98
Jason Bergmann
Was
332
248
241.02
0.747
0.726
102.90
Anthony Reyes
StL
332
236
229.52
0.711
0.691
102.82
Curt Schilling
Bos
485
338
328.75
0.697
0.678
102.82
Chuck James
Atl
484
352
342.43
0.727
0.707
102.80
Nate Robertson
Det
573
389
378.44
0.679
0.660
102.79
Aaron Cook
Col
572
401
390.44
0.701
0.683
102.70
Tim Lincecum
SF
389
277
269.87
0.712
0.694
102.64
Jon Garland
CWS
705
493
480.70
0.699
0.682
102.56
Steve Trachsel
Bal
491
351
342.47
0.715
0.697
102.49
Daisuke Matsuzaka
Bos
555
384
375.16
0.692
0.676
102.36
Noah Lowry
SF
502
349
340.97
0.695
0.679
102.35
Tim Hudson
Atl
722
504
492.65
0.698
0.682
102.30
C.C. Sabathia
Cle
701
476
465.40
0.679
0.664
102.28
Chad Durbin
Det
417
304
297.37
0.729
0.713
102.23
Carlos Zambrano
ChC
610
439
429.45
0.720
0.704
102.22
Micah Owings
Ari
461
332
324.88
0.720
0.705
102.19
James Shields
TB
615
435
425.93
0.707
0.693
102.13
Erik Bedard
Bal
431
306
299.70
0.710
0.695
102.10
Jake Westbrook
Cle
481
329
322.43
0.684
0.670
102.04
John Lackey
LAA
668
459
450.14
0.687
0.674
101.97
Oliver Perez
NYM
483
341
334.57
0.706
0.693
101.92
Justin Verlander
Det
577
407
399.34
0.705
0.692
101.92
Barry Zito
SF
608
441
432.73
0.725
0.712
101.91
Roy Halladay
Tor
722
497
488.79
0.688
0.677
101.68
Jason Marquis
ChC
626
440
432.86
0.703
0.691
101.65
Zack Greinke
KC
350
239
235.18
0.683
0.672
101.63
Buddy Carlyle
Atl
335
229
225.46
0.684
0.673
101.57
A.J. Burnett
Tor
414
301
296.47
0.727
0.716
101.53
Johan Santana
Min
555
394
388.14
0.710
0.699
101.51
Jake Peavy
SD
571
409
403.20
0.716
0.706
101.44
Kyle Kendrick
Phi
401
284
280.03
0.708
0.698
101.42
Greg Maddux
SD
681
466
459.63
0.684
0.675
101.39
Tim Wakefield
Bos
600
425
419.24
0.708
0.699
101.37
Fausto Carmona
Cle
654
463
456.92
0.708
0.699
101.33
Kelvim Escobar
LAA
572
387
382.00
0.677
0.668
101.31
Joe Blanton
Oak
750
520
513.28
0.693
0.684
101.31
Rich Hill
ChC
527
378
373.19
0.717
0.708
101.29
Odalis Perez
KC
494
325
320.93
0.658
0.650
101.27
Matt Morris
SF
473
315
311.16
0.666
0.658
101.23
Carlos Silva
Min
699
485
479.14
0.694
0.685
101.22
Adam Eaton
Phi
525
356
351.83
0.678
0.670
101.19
Felix Hernandez
Sea
567
372
367.73
0.656
0.649
101.16
Wandy Rodriguez
Hou
536
366
361.86
0.683
0.675
101.14
Vicente Padilla
Tex
407
270
266.96
0.663
0.656
101.14
Aaron Harang
Cin
642
451
446.11
0.702
0.695
101.10
Livan Hernandez
Ari
704
488
482.76
0.693
0.686
101.08
Orlando Hernandez
NYM
388
299
295.82
0.771
0.762
101.08
Jamie Moyer
Phi
633
432
427.41
0.682
0.675
101.08
Ian Snell
Pit
606
413
408.93
0.682
0.675
101.00
Andy Pettitte
NYY
690
457
452.68
0.662
0.656
100.96
Tom Gorzelanny
Pit
642
439
435.75
0.684
0.679
100.75
Matt Albers
Hou
362
247
245.52
0.682
0.678
100.60
Lenny DiNardo
Oak
430
302
300.28
0.702
0.698
100.57
John Danks
CWS
427
289
287.39
0.677
0.673
100.56
Mark Hendrickson
LAD
395
262
260.58
0.663
0.660
100.55
Jorge Sosa
NYM
361
256
254.94
0.709
0.706
100.42
Brandon Webb
Ari
692
480
478.35
0.694
0.691
100.34
Carlos Villanueva
Mil
318
229
228.36
0.720
0.718
100.28
John Maine
NYM
527
377
376.07
0.715
0.714
100.25
Justin Germano
SD
426
302
301.31
0.709
0.707
100.23
Chad Billingsley
LAD
400
279
278.70
0.697
0.697
100.11
Ben Sheets
Mil
431
307
306.74
0.712
0.712
100.09
Roy Oswalt
Hou
675
456
456.10
0.676
0.676
99.98
Jered Weaver
LAA
514
348
348.13
0.677
0.677
99.96
Mike Mussina
NYY
512
335
335.31
0.654
0.655
99.91
Josh Beckett
Bos
566
385
385.40
0.680
0.681
99.90
Matt Chico
Was
548
380
380.44
0.693
0.694
99.88
Matt Belisle
Cin
570
378
378.52
0.663
0.664
99.86
Shaun Marcum
Tor
456
329
329.69
0.721
0.723
99.79
Jeff Weaver
Sea
511
340
340.84
0.665
0.667
99.75
Derek Lowe
LAD
604
412
413.67
0.682
0.685
99.60
Kameron Loe
Tex
464
305
306.28
0.657
0.660
99.58
Joe Saunders
LAA
358
235
236.04
0.656
0.659
99.56
Brad Thompson
StL
451
307
308.45
0.681
0.684
99.53
Josh Fogg
Col
556
381
383.08
0.685
0.689
99.46
Horacio Ramirez
Sea
361
231
232.31
0.640
0.644
99.44
Jeff Francis
Col
662
447
449.57
0.675
0.679
99.43
Miguel Batista
Sea
615
415
417.51
0.675
0.679
99.40
Paul Byrd
Cle
686
465
467.91
0.678
0.682
99.38
Gil Meche
KC
663
459
462.21
0.692
0.697
99.31
Claudio Vargas
Mil
419
281
283.02
0.671
0.675
99.29
Mark Buehrle
CWS
648
455
458.82
0.702
0.708
99.17
Boof Bonser
Min
539
359
362.02
0.666
0.672
99.17
Javier Vazquez
CWS
583
409
412.68
0.702
0.708
99.11
Edwin Jackson
TB
516
333
336.02
0.645
0.651
99.10
Bartolo Colon
LAA
328
205
206.87
0.625
0.631
99.09
Tony Armas Jr.
Pit
305
208
209.93
0.682
0.688
99.08
Jorge de la Rosa
KC
431
285
287.91
0.661
0.668
98.99
Jason Jennings
Hou
319
214
216.25
0.671
0.678
98.96
Edgar Gonzalez
Ari
324
228
230.41
0.704
0.711
98.96
Chris Young
SD
448
336
339.55
0.750
0.758
98.96
Julian Tavarez
Bos
455
307
310.39
0.675
0.682
98.91
Woody Williams
Hou
632
443
448.01
0.701
0.709
98.88
Daniel Cabrera
Bal
608
415
419.74
0.683
0.690
98.87
Bronson Arroyo
Cin
661
449
454.60
0.679
0.688
98.77
Kyle Lohse
Cin
426
293
296.71
0.688
0.697
98.75
Cliff Lee
Cle
317
216
218.74
0.681
0.690
98.75
Paul Maholm
Pit
583
391
396.00
0.671
0.679
98.74
Chad Gaudin
Oak
603
413
418.34
0.685
0.694
98.72
Ervin Santana
LAA
457
302
306.05
0.661
0.670
98.68
Doug Davis
Ari
597
400
405.62
0.670
0.679
98.61
Sergio Mitre
Fla
522
343
347.92
0.657
0.667
98.59
Adam Wainwright
StL
654
441
447.57
0.674
0.684
98.53
Byung-Hyun Kim
Fla
316
212
215.40
0.671
0.682
98.42
Ramon Ortiz
Min
324
217
220.56
0.670
0.681
98.39
Kevin Correia
SF
306
217
220.82
0.709
0.722
98.27
Kevin Millwood
Tex
571
364
370.63
0.637
0.649
98.21
Jeremy Bonderman
Det
533
354
360.70
0.664
0.677
98.14
Scott Baker
Min
454
302
308.06
0.665
0.679
98.03
Dan Haren
Oak
661
457
466.27
0.691
0.705
98.01
Randy Wolf
LAD
309
205
209.32
0.663
0.677
97.93
Jeff Suppan
Mil
708
472
482.96
0.667
0.682
97.73
Josh Towers
Tor
347
229
234.38
0.660
0.675
97.71
Matt Cain
SF
571
409
419.20
0.716
0.734
97.57
John Smoltz
Atl
586
400
410.60
0.683
0.701
97.42
Brandon McCarthy
Tex
340
232
238.54
0.682
0.702
97.26
Taylor Buchholz
Col
305
207
212.87
0.679
0.698
97.24
Andy Sonnanstine
TB
408
272
280.02
0.667
0.686
97.13
Brian Burres
Bal
378
249
256.88
0.659
0.680
96.93
Brett Tomko
LAD
339
219
226.04
0.646
0.667
96.89
Joe Kennedy
Oak
346
242
250.10
0.699
0.723
96.76
Scott Kazmir
TB
534
346
358.19
0.648
0.671
96.60
Chris Capuano
Mil
456
297
307.78
0.651
0.675
96.50
Robinson Tejeda
Tex
302
204
212.16
0.675
0.703
96.16
David Wells
SD
416
271
282.44
0.651
0.679
95.95
David Bush
Mil
594
395
412.87
0.665
0.695
95.67
Zach Duke
Pit
399
246
258.54
0.617
0.648
95.15
Jose Contreras
CWS
647
420
441.74
0.649
0.683
95.08
Kip Wells
StL
522
342
360.50
0.655
0.691
94.87
Scott Olsen
Fla
578
366
387.16
0.633
0.670
94.53
Chien-Ming Wang comes out on top by far, not surprising given the Yankees overall defensive rating. What bothers me about Wang, however, is the low level of his predicted DER. You would think that someone who gets a lot of ground balls would be somewhat higher. The following chart breaks down Wang by ball in play type:
CM Wang by Batted Ball Type, 2007
Batted Ball Type
In Play
Actual Outs
Predicted Outs
DER
Predicted DER
Ratio
Fly
112
101
98.85
0.902
0.883
102.18
Liner
92
29
16.14
0.315
0.175
179.66
Grounder
377
291
269.40
0.772
0.715
108.02
Bunt Grounder
6
4
4.20
0.667
0.700
95.24
Bunt Fly
1
1
1.00
1.000
1.000
100.00
Fliner (Fly)
29
13
14.12
0.448
0.487
92.09
Fliner (Liner)
26
9
11.23
0.346
0.432
80.12
Notice that the defense behind Wang caught a lot more line drives than predicted. Line drives tend to fall for hits, so by adding thirteen extra outs with liners, the Yankees really helped Wang. So Chien-Ming got a bit lucky that way. The grounders, however, is where the defense really shined. They picked up about twenty one more outs than expected on ground balls. How did they do that? The Yankees made a lot of plays on low probability vectors:
Wang Ground Balls by Vector, 2007
Vector
In Play
Actual Outs
Predicted Outs
DER
Predicted DER
Ratio
28
8
6
7.02
0.750
0.877
85.52
29
17
13
12.05
0.765
0.709
107.90
30
29
21
17.57
0.724
0.606
119.49
31
28
27
24.76
0.964
0.884
109.04
32
19
18
18.43
0.947
0.970
97.66
33
32
29
26.75
0.906
0.836
108.40
34
17
12
9.48
0.706
0.558
126.59
35
11
9
7.38
0.818
0.671
121.97
36
23
14
13.01
0.609
0.566
107.58
37
22
12
13.66
0.545
0.621
87.82
38
27
24
23.07
0.889
0.854
104.04
39
31
30
25.58
0.968
0.825
117.26
40
22
19
17.41
0.864
0.792
109.11
41
34
24
17.12
0.706
0.504
140.19
42
27
17
19.83
0.630
0.734
85.73
43
11
9
9.71
0.818
0.883
92.67
44
10
5
4.56
0.500
0.456
109.71
The vectors go from a low of 28 at the third base line to a high of 44 at the first base line. By looking at the Predicted DER column, you can see where the holes are in the infield. Vector 30 represents the hole between third and short, vectors 34-37 the area around second base where ground balls go into centerfield, and vector 41, the hole between first and second. Note that Wang does well in the holes, as if the defense were shifted a bit toward first base. Both the line drive and ground ball data make me wonder if someone was doing a very good job of positioning the Yankees fielders. I don't know who was in charge of that, but in the case of Wang, they did a very good job.
That brings up a point I haven't made in a while. Range is probably a poor word for the ability measured here. Range implies that the fielder can move a long way to get a ball. But sometimes anticipating where the ball gets hit is just as important. So the ability to move and the ability to position are two factors in what the model means by range.
On the other end of the spectrum, Matt Cain not only received no run support, he didn't get much defensive support either. And the defense behind Kazmir was just ridiculous. Here's a pitcher who keeps balls in play to a minimum, and his defense can't turn the few hit to them into outs.
Probabilistic Model of Range, 2007, Teams Permalink
Baseball Info Solutions sent me their final stats for 2007 over the weekend. That means it's time to start presenting the 2007 Probabilistic Model or Range. If you're new to this, you can find explanations in this archive. Basically, for each fieldable (non inside the park home runs) ball put in play, six parameters are used to determine how difficult it was to field the ball. A probability of turning the ball into an out is calculated, and those probabilities are summed. That gives us expected batted balls turned into outs. We turn that into a predicted DER (defensive efficiency record), compare that to the actual DER and calculate a ranking.
The model is based primarily on visiting player data, smoothed, distance on fly balls. Only 2007 data was used to construct the model.
Note that a team can post a poor DER during the season, but do well in this model if the balls put into play were extremely difficult to field. In fact, the team ranked first in 2007 is a bit of a surprise for that very reason.
Probabilistic Model of Range, 2007 Data, Teams, Visit Smooth Distance Model, Ranked by Difference
Team
In Play
Actual Outs
Predicted Outs
DER
Predicted DER
Difference
Yankees
4511
3103
3041.46
0.688
0.674
0.01364
Red Sox
4226
2974
2919.61
0.704
0.691
0.01287
Cubs
4177
2943
2895.51
0.705
0.693
0.01137
Blue Jays
4349
3060
3017.22
0.704
0.694
0.00984
Royals
4528
3093
3058.20
0.683
0.675
0.00768
Angels
4325
2930
2900.79
0.677
0.671
0.00675
Phillies
4505
3085
3056.00
0.685
0.678
0.00644
Rockies
4599
3221
3195.95
0.700
0.695
0.00545
Tigers
4486
3094
3072.58
0.690
0.685
0.00477
Braves
4404
3069
3048.96
0.697
0.692
0.00455
Mets
4362
3050
3033.08
0.699
0.695
0.00388
Giants
4467
3108
3096.80
0.696
0.693
0.00251
Orioles
4403
3017
3006.12
0.685
0.683
0.00247
Rangers
4518
3071
3061.36
0.680
0.678
0.00213
Nationals
4591
3198
3191.04
0.697
0.695
0.00152
Indians
4548
3112
3107.26
0.684
0.683
0.00104
Padres
4476
3131
3128.60
0.700
0.699
0.00054
Mariners
4535
3050
3051.99
0.673
0.673
-0.00044
Diamondbacks
4351
3013
3016.84
0.692
0.693
-0.00088
Dodgers
4310
2942
2945.91
0.683
0.684
-0.00091
Cardinals
4587
3150
3154.99
0.687
0.688
-0.00109
Twins
4384
3003
3014.01
0.685
0.688
-0.00251
Astros
4530
3099
3120.86
0.684
0.689
-0.00483
Reds
4533
3068
3096.08
0.677
0.683
-0.00619
Pirates
4608
3099
3132.67
0.673
0.680
-0.00731
Athletics
4499
3110
3144.35
0.691
0.699
-0.00763
Brewers
4392
2966
3011.82
0.675
0.686
-0.01043
White Sox
4545
3089
3141.16
0.680
0.691
-0.01148
Marlins
4491
2962
3039.28
0.660
0.677
-0.01721
Devil Rays
4378
2867
2943.31
0.655
0.672
-0.01743
That's right, the Yankees are number one. Without running the individual numbers, I'm guessing that a full season of Melky Cabrera and keeping Giambi off first really helped. The Red Sox defense turned a higher percentage of their balls in play into outs, but they also were given easier balls to field in general.
I wondered why the Tampa Bay pitching staff did so poorly with the high number of strikeouts they collected, and the reason is clear in these numbers. The Devil Rays defense was horrible. In fact, the state of Florida just can't play defense, with the Marlins ranking 29th in the majors.
For the second year in a row, the Kansas City Royals look a lot better than their posted DER. If they ever get a good set of pitchers on that team, they're going to post a low ERA.
For those of you who prefer a ranking by ratio of DER/Predicted DER, here's the table with that data.
Probabilistic Model of Range, 2007 Data, Teams, Visit Smooth Distance Model, Ranked by Difference
"You gotta tip your hat," Arizona Diamondbacks manager Bob Melvin said. "We hit some balls hard. Seemed like every ball we hit hard, someone ended up making a good play, whether it's in the outfield or infield.
"It's different than the Rockies you've seen in the past defensively. They're as good as anybody in baseball, and it's shown up all series."
The Rockies DER this season was .703, which is remarkable given their ballpark. Lots of hits tend to fall in the big outfield. I can't wait to see what PMR says about their team defense.
Coco Crisp almost makes a great defensive play in centerfield on Izturis. Crisp dives and gets the ball in his glove, but he loses it as he hits the ground. Izturs gets a double, the first extra-base hit allowed by Schilling in the game.
Update: Kendrick grounds to second, moving Izturis to third. The Angels don't have that many outs left, however, so even productive ones are costly.
Update: Rivera pops out to first on a split-finger that was sinking fast. Schilling's doing a great job today of keeping the Angels hitters off balance.
Update: Schilling strikes out Napoli to end the inning and get a short shutout. At 100 pitches, Curt is unlikely to come out for the eighth. It's an impressive outing that seems to be the norm for the new Schilling. He strikes out just four, and he only walked one. Instead of striking out a lot of batters, Schilling is causing them to hit the ball poorly. He's getting a lot of outs even with a lot of balls in play. The Red Sox defense helps there as well.
The Phillies load the bases with two outs in the second inning, but Oliver induces a ground ball to short. Ruiz was cutting in front of Reyes as the ball approached him, and Jose booted the grounder. He recovered and tried to throw to second, but the runner was already safe and the throw goes through Castillo. Two runs score on two errors by Reyes, and the normally sure-handed Mets defense costs them.
Perez continues to walk Phillies, as he walked Rollins to start the game and Eaton to load the bases. He's now walked 14 Phillies in 10 2/3 innings.
David Ortiz doubles off the wall in left, then Lowell singles hard to center. I was absolutely amazed that the third base coach sent Ortiz. Posada had to wait a second for David to slide into him. Melky picks up his fourteenth assist of the year, and the Red Sox have two outs and a man on second instead of first and third, one out.
Update: Giambi gets eaten up by a hot shot off Drew's bat and the Red Sox score their second run. There's been poor infield defense by the Yankees tonight.
Jeter's made too poor plays in the first inning. He made a bad throw on a ground by Lugo resulting in an error, and just now he booted a double play ground by David Ortiz, only getting an out at first. How he wins Gold Gloves is beyond me.
A very nice play by the Mariners in the top of the first inning. Willits leads off with a single, then goes on a hit and run with Cabrera at the plate. Orlando hits the ball the other way, just to the rightfield side of second. But Seattle had the shortstop cover on the play, so Lopez was in the perfect spot to make the play, make a quick toss to Betancourt who then completed the double play. They guessed right on that one.
Once again, you can help determine the best and worst defenders in baseball. TangoTiger needs your help. He want your opinions of fielders as he puts together The 2007 Scouting Report by the Fans for the Fans. If you watch a lot of games and have opinions on fielders, please take his survey and be part of the wisdom of the crowds approach to quantifying defense.
Posada and Clemens combine for an interesting double play. With Inge on third and Maybin on first, Clemens strikes out Thames. Maybin was running, and as Posada threw, Inge broke for the plate. But Posada threw the ball to Clemens, not second base. Roger ran down Brandon for the second out to end the inning.
Roger has the strikeout pitch working today as he's K'd six through three innings. The Yankees lead 1-0 on a Posada homer as it's a Jorge Day on both sides of the ball.
Update: Maybin hits his first home run, a shot to straight-away center. The solo shot in the fifth gives the Tigers a 2-1 lead.
In the bottom of the eight in Cleveland, Byrdak walks two batters with two out to bring up Travis Hafner. He lines one to left center, where Granderson lays out to make a fantastic diving catch to keep the game tied. If Detroit wins this one, Curtis gets the game ball.
Update: In the bottom of the ninth, Chris Gomez leads off with a double. That brings up Peralta against Rodney. Jhonny was 0 for 8 vs. Rodney with three Ks. However, he's batted very well this season with men on base and with runners in scoring position. The announcers thought Peralta should bunt, but Wedge has him swing away and he strikes out on a heater right down the middle of the plate. I could go either way on this one, but it seems Peralta has a decent chance of ending the game by letting him swing away.
Update: Rodney strikes out the final two batters in the inning. They'll go to extra innings. The Indians struck out 13 times in the first nine, Detroit 11.
The Phillies defeated the Braves 5-3 tonight to take second place in the NL East. But Jeff Francoeur kept the Braves in the game with two base runner kills. That brings Jeff's total of outfielder assists to seventeen, six more than anyone else in the NL. I suspect coaches will stop sending runners on Francoeur soon.
Johnny Damon and Derek Jeter reach bases leading off the third inning on balls that could have been outs. Both went for hits. The first was a pop up behind second that just ticked off Peralta's glove, but he didn't take a great route to the ball. I would have given him an error. The second was a grounder up the middle by Jeter. Peralta dived for the ball, and it just ticked off his glove to put runners at first and third.
Then Abreu hit one up the middle, Peralta fielded it on the first-base side of second, but Barfield didn't cover, and by the time Jhonny was able to tag second, he couldn't get the double play. The Yankees lead 3-0 in the third.
The Toronto Blue Jays show off their arms in the top of the fifth. McDonald made a great throw from deep in the hole to nip A-Rod at first. Then for the second time tonight, Posada gets thrown out trying to stretch a double into a double. Rios got him in the fifth, and Reed Johnson caught him earlier. Finally, McDonald makes another nice play in the hole to force a runner at second to end the inning. The defense kept a 4-0 Yankees lead from expanding.
Great play at the plate in the Toronto-New York game. With the score 2-1 Toronto in the bottom of the ninth, Phillips singles and Cairo pinch runs and steals second. Cabrera singles to shallow right, and Miguel tries to score from second. Rios makes a great throw, and Zaun blocks the plate perfectly, flipping Cairo away from home and holding onto the ball for the out. Miguel may have injured his shoulder on the play.
Cabrera took second on the throw, then stole third with one out. Damon walks, and Jeter is up with the tying run 90 feet away.
Update: Accardo balks to force in the tying run and take away the double play. The great defensive play saves a run, but we'll see if it saves the game.
Update: Jeter hits a perfect double play ball to short, as does Abreu to end the inning. Without the balk, the Blue Jays win the game. Instead, the teams go to the tenth tied at two.
Update: Robinson Cano singles home A-Rod in the 10th and the Yankees take the game 3-2. The gain a game on the Red Sox and put a little more distance between them and the Blue Jays.
I just saw a very bad example of the umpire giving the second baseman the out on a double play just for being close to the bag. Fontenot took the throw from the third baseman about a foot in front of the bag. The camera work was bad and blurry, but the picture cleared as the camera came to rest on the second baseman. It was clear at that point he was no where near the bag, and there was no runner bearing down on him. You need to be a little closer than that.
The Milwaukee Brewers made four errors this afternoon, and at least one other bad play that went for a triple as they lose to Pittsburgh 6-2. The errors led to two unearned runs. Milwaukee had opportunities to score. They loaded the bases in the second but did not score. Shane Youman gave up eight hits, a walk and a hit batter in six innings of work, but allowed just two runs. Last year, despite walking ten and striking out just five in 21 2/3 innings, he posted a 2.91 ERA. It appears this pitcher bends but he doesn't break.
The Twins came up in the bottom of the ninth inning last night trailing 5-4 with Joe Mauer leading off the inning. Joe smacked a hard grounder up the middle, and off the bat I thought, "There's a hit." But as the camera turned to show the field, Royce Clayton was crouching in front of the ball, and made an easy play for an out. Clayton played Mauer perfectly, and what would be a single in many cases started a 1-2-3 inning for a Toronto victory.
The Blue Jays obviously did their homework. And of course, it's so easy to do today. Mauer seldom hits ground balls to the right of where Clayton was stationed. By positioning himself correctly, Royce Clayton is increasing his range without having to move a long distance for a ball. That's why, at some point, I'd love to get positioning information for players, so we can separate those player who can move long distances to get to balls vs. players who know where to stand before a ball is put in play.
With the win, the Blue Jays move over .500 and to 9 games behind Boston.
Jason Michaels shows off his vertical leap as he skys over the fence in left to steal a home run from Craig Monroe. The Tigers picked up three straight hits, a triple by Guillen and singles by Rodriguez and Casey to cut the lead to 2-1. Monroe's shot would have put the Tigers up 4-2. Who says white men can't jump?
Hunter Pence makes a catch off Rich Aurilia at the 404 sign in centerfield. He was feeling for the wall, and thought he was close. He leaped for the ball, caught it, and looked like he thought he would crash against the padding. Instead, he fell over and hit his head in the seam where the wall angles in toward left. It was a scary crash, but Hunter held on and stayed in the game. If he was more aware of his position, he could have just kept going back to make the catch without leaping.
The outfielders don't flip the ball to each other for outs like Carlos Guillen and Placido Polanco do. But they consider their defense a collaboration.
"We communicate really well the whole game about (where) we're positioning ourselves," Ordonez said.
Monroe said: "Curtis makes sure that when he moves, he makes the rightfielder and leftfielder move. We talk about where to play the hitters. Curtis might look at me and say, 'What do you think?' We sometimes make the wrong decision, but when you do it as a group, it always feels better to know we were all committed to the same plan."
In the 1980s I used to sit in the centerfield bleachers at Fenway Park. I was always amazed that teams would come in that didn't do anything to position outfielders. No matter the hitter, they played everyone straight away. It's good to see the Tigers thinking about this and putting a plan into action.
Jacob Lous attended the Oakland game today and sends a word on Jason Kendall:
One of the craziest things to watch in baseball this year is the Jason Kendall shift. His name is announced, and three outfielders instantly start jogging - jogging - to a new spot. I've never seen anything like it.
LF and CF jog 20 feet to the right since he pulls the ball so seldomly, and the rightfielder moves in at least 15 feet. Part of the reason his BA is so low this year is that teams have figured out that a high percentage of his hits come on dinkers to right. With so few XBH, he rarely makes anyone pay by hitting it over their head, and the CF shades far enough to right to prevent a triple if it's hit over the RF's head.
The Braves are losing 8-0 in the bottom of the sixth, but Andrew Jones just channelled Willie Mays. On a ball to deep centerfield, Andruw ran straight back, looking over his right shoulder, and made a basket catch for the out. Here's the Mays catch. Both are pretty plays.
Orlando Cabrera clocks Reggie Willits in the jaw as they both go for a fly ball down the line in leftfield. Cabrera was calling for the ball but it's not clear that Willits did also. Cabrerra made the catch, and ran the ball in to prevent Blalock from scoring from third while Willits lay on the ground. Reggie stayed in the game.
Kevin Millwood re-injured his hamstring. He gave up a grand slam to Kotchman in the first, and the Angels lead 4-0 in the top of the third.
The Mariners turn two pretty plays in the top of the third. Phelps hits a bouncer in the hole that Betancourt backhands, jumps and throws to beat Phelps by a mile. He made the catch and throw in one smooth motion. Then Cano hit a nubber between the catcher and the pitcher toward third base. Ramirez was quick off the mound, made a strong throw but wide, but Sexson used his height to stretch, catch and hold the bag for the third out.
Brew Crew Ball notes a number of good defensive plays by the Brewers last night. They're not a great defense right now. The Hardball Times puts their DER at .694, tied for eighth in the NL. But THT's +/- rating assigns better numbers to the fielders than the pitchers, so in fact Milwaukee's defens is doing a pretty good job.
This season, Crisp caught nine balls that weren't caught last year. There was a small sample size on each of those, so zero might not be accurate, but nine of those catches came in the last two weeks. Overall, he caught fifteen balls where the probability was less than or equal to .5, and 13 of those came from 4/23 on. If I had data on balls he didn't catch, we could do a complete analysis, but it sure looks like Bill's observation is true, that over the last two week Crisp is making difficult plays.
Bill James sent an e-mail to a few sabermetric friends this afternoon praising Coco Crisp. Seth Mnookin posted here. The main quote from James:
"It seems to me that the BIGGEST factor in our team's performance over the last week or so has been that Coco has been just unbelievable in center field...he's just catching EVERYTHING that looks like it might be trouble. There's been no gap in right center, no gap in left center, nothing getting over his head and nothing has been landing in front of him."
Seth gives an example from Friday night's game. I was able to obtain data on Crisp's putouts, and since April 23rd, Coco started seven games, collecting 34 putouts or about five a game. In his previous 15 starts, Coco recorded 41 putouts, or less than three per game. So over the last couple of weeks, Crisp is up about two putouts per game. There's not a lot of context here. I don't know if more balls are being hit in his general area. But I'm trying to get a handle on the degree of difficulty of the catches, and I'll post when I have something on that.
Update: Here's a chart of Crisp's putouts this season. Second base is at 180 degrees. (Click for a larger image.)
As you can see, he's catching balls close and far, and he's covering thirty degrees of the field.
A ball just dropped between Jason Kubel and Torii Hunter because Torii didn't do his job as a centerfielder and try to catch everything. He jogged after a ball he thought Kubel could catch, rather than running full speed and calling Kubel off. Kubel thought Hunter would get the ball, and it fell for a hit to put runners on first and second with one out.
Update: Santana gets a strikeout and ground out to end the inning. No score at the end of two in Detroit.
Nate Robertson picks up an error on a throw to first, because he faked out his own first baseman. Nate takes off his hat and is wiping his brow when he throws quickly to first. Casey, seeing Robertson apparently taking a moment, takes off his glove for an adjustment. The ball sails by, and Ozuna ends up at second. He's at third after a single, and ties the game on a sacrifice fly by Thome.
Manny made a bad throw earlier today, so I should I should praise a good defensive play as well. He just made a nice running catch over his shoulder as he ran back toward the leftfield wall, just on the edge of the warning track. The fact that Manny can make plays like that is one of the infuriating things about his defense. You get the feeling sometimes he doesn't try.
Gary Matthews, Jr. just made another great catch, robbing Michael Young of a home run at the centerfield fence. He's making the Rangers really miss him.
Update: Matthews then leads off the inning with a high chop that lands behind McCarthy for a single. A wild pitch and two singles later the Angels lead 1-0. Not surprisingly, Guerrero drove in the run with another hit against the Angels.
Update: The Angels score four in the first, ruining McCarthy's debut with Texas.
The Mets pitchers so far allowed a .348 OBA. That's high for a staff. But that number gets cut down by the number of ground double plays induced. Overall, New York pitchers allowed 16 Cardinals to reach base via a hit, walk or hit by pitch in sixty nine plate appearances. But if you remove the seven runners taken out on double plays, the effective OBA against the Mets is just .246, which is excellent.
Emil Brown glanced at the lineup card Sunday morning in the Royals' clubhouse, turned and observed to anyone within listening distance:
"I guess my defense is good enough for me to be in right field today."
The words came out as a challenge and borderline belligerent. The message was unmistakable. Brown has had it with those who label him "an adventure," or worse, in the outfield, on the bases or anywhere else.
His irritation centers on the media, first and foremost, but not exclusively. His fed-up list includes anyone trashing his skills, be they players or officials with other clubs -- or within the Royals' organization.
"I hear it all of the time," Brown said. "He's an adventure out there. Why? Because I'm actually trying to make plays happen?
"It isn't an adventure for (Twins outfielder) Torii Hunter when he dives for a ball and misses it. Then, it's, 'Oh, he just missed it.' He gets the benefit of the doubt because he's a Gold Glover. But it's an adventure when I do it."
Emil makes a good point. If you look at his defensive charts for 2006, Brown isn't a star defender, but he's basically making the plays. It doesn't matter how smooth you look catching the ball, as long as you make the catch.
A few days ago I introduced the idea of a probabilistic model of Ground into Double Plays (GDP). The probabilistic model of range just measures the ability to turn a ball into an out. For infielders, however, they're often asked to turn a ground ball into more than one out. The idea is to take a very specific situation; ground ball hit, man on first, less than two out and build a model that measures both plays made and GDP turned. With that model, we can ask which fielders perform well in that situation.
In building this model, I left parks out of the parameters. Basically, I thought the sample size would be too small if I left the parks in. This probably hurts the three teams that play of artifical turf.
Let's start by looking at the ability of shortstops to start a double play. The following table looks at three indexes for each fielder. The Plays Made (PM) index measures Plays Made / Predicted Plays Made. This measures the fielder's ability to turn a ball into an out. The GDP index does the same for ground double plays. Does the fielder start the expected number of double plays? And finally, an outs index that looks at the total number of outs accured to the fielder on these balls in play. It could be a fielder is making up for a lack of range by being really good at starting GDPs, or vice versa. Remember, this says nothing about the pivot man or the receiver at first base. In this context, we're only looking at the fielder who starts the play.
Probabilistic Model of GDPs, Ground Balls, Man on First, Less than Two Out, Shortstops Starting GDP (2006 Data Used to Build Model)
Player
Ground Balls In Play
Actual Plays Made
Predicted Plays Made
PM Index
Actual GDP
Predicted GDP
GDP Index
Actual Outs
Predicted Outs
Outs Index
Craig Counsell
183
40
32.14
124.44
32
21.23
150.72
72
53.38
134.89
Khalil Greene
219
53
45.27
117.08
31
28.68
108.07
84
73.95
113.59
Stephen Drew
121
26
23.68
109.82
17
14.29
118.92
43
37.97
113.25
Clint Barmes
283
56
53.75
104.18
42
33.03
127.16
98
86.78
112.92
Juan Uribe
274
58
50.75
114.29
34
31.85
106.75
92
82.60
111.38
Hanley Ramirez
352
71
67.58
105.05
49
43.18
113.48
120
110.76
108.34
Miguel Tejada
342
76
72.84
104.33
52
45.35
114.66
128
118.20
108.30
David Eckstein
298
61
56.74
107.50
38
34.92
108.81
99
91.67
108.00
Jack Wilson
290
64
62.47
102.45
46
39.39
116.77
110
101.86
107.99
Rafael Furcal
396
92
85.54
107.55
58
55.24
104.99
150
140.78
106.55
Bill Hall
228
55
50.83
108.21
33
32.90
100.30
88
83.73
105.10
Bobby Crosby
237
44
42.12
104.47
29
27.37
105.94
73
69.49
105.05
Alex Gonzalez
244
50
51.18
97.69
38
33.41
113.74
88
84.59
104.03
Jimmy Rollins
333
70
69.50
100.72
48
44.05
108.97
118
113.54
103.92
Carlos Guillen
303
65
64.24
101.18
45
41.63
108.10
110
105.87
103.90
Adam Everett
309
66
63.51
103.91
41
40.15
102.11
107
103.67
103.22
Ronny Cedeno
240
49
46.28
105.87
28
29.54
94.79
77
75.82
101.55
Michael Young
410
88
86.89
101.28
54
55.41
97.46
142
142.30
99.79
Jason A Bartlett
214
50
47.40
105.49
28
31.86
87.90
78
79.25
98.42
Jose Reyes
304
67
66.70
100.45
40
43.66
91.62
107
110.36
96.96
Omar Vizquel
297
64
65.48
97.73
42
44.00
95.45
106
109.49
96.82
John McDonald
170
25
26.52
94.26
18
17.91
100.50
43
44.43
96.77
Orlando Cabrera
319
58
60.40
96.03
38
39.02
97.38
96
99.42
96.56
Felipe Lopez
319
67
64.47
103.93
34
40.58
83.78
101
105.05
96.15
Angel Berroa
337
69
72.29
95.44
46
47.91
96.02
115
120.20
95.67
Jhonny Peralta
357
82
84.45
97.10
50
55.63
89.88
132
140.08
94.23
Alex Cora
127
30
32.94
91.07
21
22.16
94.76
51
55.10
92.56
Marco Scutaro
146
34
37.58
90.47
24
25.22
95.15
58
62.81
92.35
Edgar Renteria
347
63
67.67
93.10
39
43.19
90.30
102
110.86
92.01
Yuniesky Betancourt
350
60
66.40
90.36
43
46.02
93.44
103
112.42
91.62
Julio Lugo
182
32
35.29
90.68
21
23.66
88.74
53
58.95
89.90
Ben T Zobrist
131
25
28.09
89.00
17
18.93
89.82
42
47.02
89.33
Juan Castro
146
23
25.18
91.33
13
15.27
85.11
36
40.46
88.98
Derek Jeter
336
63
70.96
88.79
40
45.81
87.32
103
116.77
88.21
Royce Clayton
234
43
47.02
91.44
20
29.67
67.40
63
76.70
82.14
Aaron W Hill
108
16
20.33
78.70
7
12.82
54.62
23
33.14
69.39
Notice how few chances fielders get to turn GDPs. On the best teams, they get a little over two chances a game. Secondly, Arizona does a good job of picking out shortstops, as Counsell and Drew are near the top of the list. And if you don't like Derek Jeter, here's another area where you can pick on him.
The other thing that strikes me about the list is that shortstops who are good at making plays are also the ones good at starting double plays. Ronny Cedeno is unusual in that he's good at getting an out, but didn't do well starting DPs. Could it be that Todd Walker was just a poor pivot man? I hope further research using these models will help answer that question.
The truth most likely lies in the middle: the average of the P.B.P. systems' results for RamÃrez is 15 to 20 runs below average. That's enough to take a significant bite out of his value. If his hitting begins to deteriorate this season (he turns 35 in May), and his base running remains poor (subtracting another two runs or so), he is likely to be worth about as much in 2007 as Oakland's up-and-coming Nick Swisher. In other words, an All-Star, but not a franchise player, and certainly not worth anywhere near his $20 million salary.
I put the cost of Manny in left field at no more than 16 runs in 2006, whereas Dan believes that the minimum. Dan is also basing Manny's worth on Ramriez's worth on his continuing at that level of defense and his offense declining due to age. But of the three years I've measured Ramirez, 2006 was by far the worst reading I've seen on him. Manny complained of a bad right knee in 2006. If that's better and he becomes more mobile, I suspect the number of balls he gets to goes up as well.
So I'm not quite as dire as Dan in assessing the worth of Ramirez. He a great player in his mid 30's, and I'm not surprised he is showing signs of decline.
Shiner said Tejada's workouts have been focused on improving his foot speed and movement. During one drill, Tejada shuffles back and forth between cones as Shiner rolls baseballs to him. The exercise is designed to maximize the steps to get to the ball, simulating the act of fielding a baseball while moving left or right. Team officials have been pleased with the range Tejada has shown thus far in camp.
"He is moving around a lot better than he did last year," Perlozzo said. "When his knee was bad [last year], I knew there was nothing that I can do about that. ... It was an up-and-down year for him defensively for multiple reasons."
Teammates said Tejada got a bad rap for his defense last season, considering that he was nursing knee and hamstring injuries the first couple of months of the season. Tejada did make 19 errors, tying his lowest total for a full season in his career. But it was his range that was often criticized by scouts and baseball officials.
"He wasn't fully healthy early last year and yet he still went out there and did all he could. Of course, your range is going to be limited, but most guys wouldn't have even been out there," Gomez said. "He got healthy soon thereafter, and I thought he was great. I don't think anybody could deny that. He got this label, where someone says one thing about range and all of a sudden you don't have range. It sticks. I think it is really unfair."
We'll see if his PMR improves at the end of the season.
Born in the imagination of a minor-league pitching coach, carried from Class A to the brink of the big leagues by an over-achieving, side-arming right-hander, "The 3-2" is a pick-off move that is challenging umpires at least as much as it is eliminating baserunners.
Footage of the move, captured accidentally Friday night by a Venezuelan film crew stationed behind home plate at Surprise Stadium, has been carried on compact disc from Arizona to the Major League Baseball offices in New York City. Duplicates will go out to umpiring supervisors and trickle into the minor leagues.
The pickoff play begins with the bases loaded or runners at second and third. The pitcher fakes the throw to third, then allows that momentum to carry him - 270 degrees counter-clockwise - into a throw to second base. It works best with the bases loaded, when it comes disguised as the more familiar third-to-first pickoff.
I can't find a link to the video on Google or YouTube, so if someone finds it let me know.
But the Angels' veteran left fielder also was somewhat offended by media reports framing the Matthews signing as one that would ease the burden on Anderson and right fielder Vladimir Guerrero.
"I've heard that several times this winter, and I don't really know what it means," Anderson said. "I don't think I've been a liability out there, other than the fact I haven't been able to play. I know I took a lot of heat last year because I played hurt. I should have just not played. I wouldn't have taken any heat for that."
An inflamed arch in his left foot hindered Anderson for most of 2006 and contributed to knee and lower-back problems. He was relegated to a career-high 45 games at designated hitter, but in 94 games in the outfield, Anderson didn't commit an error.
Ron Washington drilled into the Texas pitching staff the importance of fielding their position, using the Detroit Tigers World Series performance as an example. The pitchers then went through their drills:
And so for about 45 minutes on Sunday, Rangers' pitchers shuttled through three different stations.
At one, they fielded slow-rolling grounders and practiced getting into throwing position without ever releasing a ball. At a second station, they fielded hard-hit ground balls. At the third, they raced to first to be prepared for tosses when the first baseman had to make the play.
None of it was new. It's a drill that goes on in every camp for at least 10 days.
Often that is the end of it. It may be for the Rangers, too, but during his interview, Washington brought up the idea of occasionally taking defensive practice during the season.
It's amazing to me that pitchers don't do defensive drills during the season. Once a week for 45 minutes, would likely be good for all of them.
It looks like Ken Griffey, Jr. is going to start the season in centerfield for the Reds. Red Reporter disagrees.
Why is there so much dismissal of Chris Denorfia? The Reds don't seem to take him seriously, which is bizarre to me because you'd think he'd fit the profile of what Krivsky likes in a player. His effort level is off the charts, and he's a good defender.
John Walsh delivers his outfield arm rankings for 2006 at The Hardball Times. I especially like the graph he includes, showing where the outfielders lie on a runners held vs. runners killed basis. The upper right quadrant is fascinating. It's the quadrant where fielders are good at both, but within that quadrant an increase in an ability to kill a runner leads to a decrase in the ability to hold a runner. So no one comes close to being great at both.
Is Felix Pie ready, then? Probably not, if ready means doing much more than flashing his offensive potential. But great athletes learn to hit, largely because their defense buys them the time that Jason Dubois won't have. Meanwhile Pie can anchor center field, which is something, not nothing. Cub fans in particular might have a problem with this patient approach because it didn't work with Corey Patterson. We waited and waited and he never got better.
The problem with Corey Patterson, I would argue, was not so much his slow progress as a hitter but the fact that his defense couldn't carry him, get him over the rough spots, ease the pressure. Bottom line, he was not a great fielder, and it's a little mysterious why, since he could run and he could throw. But the catching part sometimes eluded him. Midway through his tenure with the Cubs, I started asking myself, if he's a great fielder, how come he never makes great plays? My teenage son used to put together homemade highlight reels, and once he asked me to sit down to watch a collection of Patterson web-gems. I said, okay, but look closely and you'll see that in every catch his left elbow is bent. And it was true, both when he dove and when he leaped. There was something tentative about it. The sort of thing that Juan Pierre did ten times last year, where you lay flat out in a dive, parallel to the ground, arm and glove fully extended-Patterson didn't do that. He lacked the physical commitment, or courage, that defines an athlete. Patterson was the image of an athlete. He may have been born to play a great athlete in a movie. But he wasn't one. Several scouts out there with egg on their faces should be implementing a new Patterson Rule: don't say a guy has five tools until you've seen him do something special in the field. Patterson is partly a victim of bad scouting (he said, with great hindsight).
It may be six, seven years before we know what kind of hitter Pie is going to become, especially in terms of power numbers. But it will only take about a month to tell if he's the real deal as an athlete. If he is, then the comparisons with Patterson should stop right there.
The Floyd deal, which might be completed this week, has been in the works since the winter meetings, but the Cubs weren't sure whether they would add Floyd or a veteran center fielder to hold down the fort until prospect Felix Pie is ready at midseason. Floyd, a former Thornwood star, is expected to serve as a fourth outfielder, giving left fielder Matt Murton and right fielder Jacque Jones regular rest.
So does this push Pie back in the depth chart? Or will the Cubs look to make a trade once Pie is ready to play?
Lee Panas combines four measures of range into one by treating them as four voting systems and averaging the ranks. We used to do this sort of combination when I worked in information retrieval and we wanted to combine the results from multiple search engines. In general, it's a good way to combine various opinions.
I'd like to explore positioning as part of the Probabilistic Model of Range. One thing that I believe would be easy to record is the direction and distance the fielder moved to get to a ball. The direction could be coded using the digits 1-9 as follows:
1
2
3
4
5
6
7
8
9
Where 5 would be straight at the fielder, 8 would be in front, 4 to the fielder's right, etc. What I'd like to get opinions on is if the X and Y axis should be fixed for all fielders or float depending on the position. For centerfielder and pitchers, the X axis would be a line that went through home plate and second base, while the Y axis would go through third and first. But for a shortstop, the X axis could go through second and third base, with the Y axis perpendicular to that. In the case of a fixed axes through 2nd-home and 3rd-first, a ball in the hole that's fielded by the short stop would be coded a 7. In the second case, where we adjust the axes to the fielder, it would be a 4, since the fielder moved to his right. My feeling is the second way is superior. However, with so many shifts being employed now, which often put the shortstop on the second base side of the bag, the fixed axes approach might be more accurate. I'd like to hear your opinions on the matter.
Mike Lowell is the best defensive third baseman in baseball. He's extremely interesting to watch. He keeps his glove hand, his left hand, very relaxed, and he doesn't appear to anticipate the hop at all. What I am saying is. .. the announcers, the veteran baseball people will tell you that the key to making the plays is to get your body in the proper position to make the play. But in fact, if you actually watch the fielders, very often they can't handle a tough hop or a line drive at an awkward angle precisely because they're trying to play the ball with their whole body. They're relying on positioning their body to make the play, and when something happens that makes that impossible, they're just SOL. Lowell, if you watch him, seems to be saying "it is easier to react with my left arm than it is to re-position my whole body in anticipation of the play." He stays balanced, stays loose, reacts late and has extraordinary confidence in his ability to snag the ball with his glove at the last moment. I've never really seen anything like it before, but this looseness and unusual confidence, for example, gives him a remarkable ability to charge a ground ball. He can change a slow grounder top speed because he knows that, bad hop or good hop, in-between stride or on stride, he can slap at the ball with his glove and pick it out of the air.
It's time once again for you to be the scout and help Tangotiger judge defensive ability. I believe this is the third year Tom conducted this survey, using the knowledge of fans to rate the defensive ability of players. The more input he gets, the better his results. So if you watch baseball, go to his site and take part.
There is an enormous amount of untapped knowledge here. There are 70 million fans at MLB parks every year, and a whole lot more watching the games on television. When I was a teenager, I had no problem picking out Tim Wallach as a great fielding 3B, a few years before MLB coaches did so. And, judging by the quantity of non-stop standing ovations Wallach received, I wasn't the only one in Montreal whose eyes did not deceive him. Rondel White, Marquis Grissom, Larry Walker, Andre Dawson, Hubie Brooks, Ellis Valentine. We don't need stats to tell us which of these does not belong.
In the YES replays, you clearly see Jeter moving his mouth when the pop is in the air. It appears that he's saying "I got it!" a few times. In the same replays, you never see A-Rod open his mouth, at all.
Rodriguez was clearly planted under the ball. He was in perfect position to catch it. Jeter had to range to his right to get towards the ball. I would offer that Derek had to move around 10 feet, away from his position on the pitch, towards the foul line, to get to where the ball was going to land.
Jeter went behind A-Rod and their gloves bumped as they both reached up for the ball. That appeared to be the only serious contact between the two players. It seemed as if their gloves met just as the ball was going into the pocket of A-Rod's mitt - and that knocked the ball loose.
The rule on the Yankees should be that Jeter catches all pop ups, even the ones hit directly at another fielder, to make up for all the ground balls that go through the shortstop position. :-)
The Tigers are up 3-0 after three innings, but the bottom of the third ended with Dmitri Young thrown out at the plate by Nelson Cruz. Young was at second with two out when Pudge Rodriguez singled to right. Gene Lamont waved Young around third. Cruz fired home, and Gerald Laird waited a good two second before he needed to make the tag. It's not often you see someone thrown out at the play by 20 feet.
Correction: I had the wrong numbers this morning. A program I thought was computing GDPs was computing something else. Sorry for the confusion. This post is correct.
The Diamondbacks turned a club-record five double plays - three 5-4-3s, a 4-6-3 and a 1-4-3 - as Batista was able to pick up win No. 10 despite allowing the Giants to begin three innings with back-to-back singles.