Daily Archives: September 25, 2019

September 25, 2019

The K Record

Tuesday night MLB set a record strikeouts in a season, the seventh year in a row the majors set a new high. I thought this might be a good time to look at various hitting averages and how they changed over time to see why strikeouts might be increasing so much.

This spreadsheet covers the low mound era (or the division era) which started in 1969. The chart connected to the sheet shows the levels of K per PA, Batting Average (BA), Batting Average on Balls in Play (BABIP), and Slugging Percentage.

Strikeouts rise slowly over time during this era. They actually fall from a 0.152 K per PA in 1969 to a low of 0.125 K per PA which persisted from 1979 through 1981. Since then K per PA mostly rose, and by 2005 was up to 0.164 K per PA. From that time on, the slope increase greatly, bring us to the 2019 rate of 0.229 K per PA.

BABIP went through two stages. From 1969 through 1992, BABIP ran in the mid .280s. In 1993 BABIP jumped to .294 and since then trended in the high .290s.

Looking at the data, it strikes me that the sudden increase in BABIP was an adjustment to the increasing strikeout rate. Batting averages were depressed to around a league average of .256 from 1988 to 1992. As strikeouts rise, batting average will go down if BABIP and power remain constant. There are just fewer opportunities to get hits. At this time, the stigma of bulking up was disappearing, as players who built muscle hit just fine. Bulking up led to hitting the ball hard, which led to high BABIPs and higher slugging averages, and an explosion in offense. It’s astonishing how fast this transition occurred.

Likewise, the rapid rise in strikeouts from 2006 on was an adjustment to batters hitting the ball harder. It took batters a decade to figure out they hand to hit harder to make up for strikeouts, and then it took pitchers over a decade they needed to strike out many more batters to bring offense under control.

In the last few years both sides adjusted quickly. Pitchers keep upping their Ks rapidly, while batters adjusted this time by mashing balls out of the park. The gap between BABIP and BA keeps widening, but batters use power to make up the difference.

Note that when I use the term adjustments, I’m not talking just about the players. Front offices see what works, and will go adjust their rosters accordingly. Stronger batters worked in the early 1990s, so teams stocked up. Strikeout pitcher worked in the mid aughties, so teams stocked up on those types of pitchers. Now, launch angle and spin rate help determine who makes a roster. The league may adjust, too by changing balls or strike zone dimensions.

Pitchers get better and batters adjust. Batters get better and pitchers adjust. Usually it takes a lot of time, but it appears that as more data becomes available, the time to adjust has condensed.

Stay tuned, who know where the adjustments will lead next.

September 25, 2019

Massive Tie Scenario

The National League Massive Tie Scenario died Tuesday night as the Nationals clinched a wild card slot with a double header sweep of the Phillies and a Cubs loss to the Pirates. That leaves the AL with a three-way tie for the two wild card slots as the only option. Luckily, it’s a very good option as Tuesday night worked out perfectly. The Athletics lost to the Angels 3-2, the Rays beat the Yankees 2-1 in twelve innings on a walk-off home run by Ji-Man Choi, and the Indians blew out the White Sox 11-0 as Jose Ramriez hit two home runs in his return from the illjured list. The Athletics now lead the Rays by 1/2 game, with the Indians 1/2 game behind the Rays. The Rays and A’s are tied in the completely unimportant win column. The probability of the three-way tie doubled from yesterday, up to 0.0634. The most likely outcome to achieve the tie has the Athletics going 3-2 for 97 wins, the Rays going 3-1, and the Indians going 4-1.

In addition, there are five different scenarios in which a tie can occur, from the Indians winning all their remaining games to the A’s losing all their remaining games. So everything is on the table. For today, the most important outcome would be an Indians win. For the probability of a tie to stay high, the Indians and the Rays need to stay within a game of the Athletics.

September 25, 2019

Beat the Streak Picks

For the past two years Baseball Musings tried to help with playing Beat the Streak. The Day by Day Database keeps track of hit streak of at least five games. In addition, two programs produce top ten lists of players with a high probability of a hit. If you find this useful, please support Baseball Musings with a donation.

Here are the top picks my programs produced for use in Beat the Streak. This post mostly explains the ideas behind the calculations. In addition, this post shows tests on the Neural Network (NN). This post discusses an NN that includes the ballpark. I updated the models, and the results of those tests are here.

First, the Log5 Method picks:

Looks like it might be a good night for the Astros as they battle for the top spot in the American League. They lead the Yankees by 1 1/2 games with a game in hand. Kikuchi’s opposition batting line stands at .298/.351/.545.

Here are the neural network picks:

  • 0.334, 0.769 — Howie Kendrick batting against Drew Smyly.
  • 0.328, 0.746 — Michael Brantley batting against Yusei Kikuchi.
  • 0.325, 0.745 — Jose Altuve batting against Yusei Kikuchi.
  • 0.325, 0.742 — Yulieski Gurriel batting against Yusei Kikuchi.
  • 0.322, 0.741 — Kevin Newman batting against Jon Lester.
  • 0.320, 0.741 — Whit Merrifield batting against Josh Tomlin.
  • 0.321, 0.741 — Bryan Reynolds batting against Jon Lester.
  • 0.317, 0.739 — Luis Arraez batting against Daniel Norris.
  • 0.316, 0.732 — Ketel Marte batting against Michael Wacha.
  • 0.288, 0.729 — Hanser Alberto batting against Jacob Waguespack.
  • 0.288, 0.726 — Tim Anderson batting against Shane Bieber.

The two systems are in fine agreement today, with Kendrick and Brantley the top two picks.

I do not guarantee results. Your best pick is going to have about a 25% chance of not getting a hit. Good luck!

September 25, 2019

Best Batter Today

The Baseball Musings Batter Rankings once again see Marcus Semien at the top of the list. He went one for three with a walk in the Athletics loss to the Angels Tuesday night. Alex Bregman singled and hit his fortieth home run of the season to close the gap to less than one point. The idle Ketel Marte remains in third place, while Austin Meadows moves up to fourth place after a two for four game with a walk as the Rays beat the Yankees 2-1 in twelve innings. Kyle Schwarber doubled twice to move into fifth place.

The Cubs have Schwarber in fifth, Nicholas Castellanos seventh, and Anthony Rizzo ninth, yet they may not make the playoffs.

September 25, 2019