Trends in DH use June 11, 2010
Posted by tomflesher in Baseball, Economics.Tags: Baseball, baseball-reference.com, designated hitter, economics, Interleague play, Mets, regression, sports economics, Stuff Keith Hernandez Says
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Last night, Keith Hernandez was talking about how the Mets are scheduled to play in American League parks starting, well, today. He pointed out that the Mets will be in a bit of a pickle because they aren’t built, as AL teams are, to carry one big hitter to be the full-time DH. Instead, an NL team will be forced to spread the wealth among lighter hitters who are carried for their defensive acumen as well as their offensive prowess. Keith then corrected himself and said that AL managers are using the DH differently – to rest individual players instead of having an everyday DH.
That pinged my “Stuff Keith Hernandez says” meter, and so I decided to crunch some numbers and see if that’s true. I interpreted Keith’s statement as implying that the number of designated hitters should be increasing, since managers are moving away from an everyday DH and toward spreading the DH assignments around a bit more. The crunching also needs to account for interleague play, which should obviously increase the number of DHes. So, after controlling for interleague play, does DH use show an increasing trend with time?
Early one-hitters June 11, 2010
Posted by tomflesher in Baseball.Tags: Baseball, baseball-reference.com, Jon Niese, Mat Latos, Mets, Padres
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Last night was an unusual confluence of events, in that the Mets lost the first game of a day-night doubleheader against the Padres and won the second game, with Jonathon Niese pitching a one-hit complete game in his 18th career appearance. That seems fairly unusual, so I generated a table with pitcher W, Complete game, 1 hit or less. It turns out that since 1920 there have only been 55 of them, and one of them belonged to the Padres’ game one starter, Mat Latos.
The complete table is here.
Win, 1 Batter Faced June 10, 2010
Posted by tomflesher in Baseball.Tags: Baseball, baseball-reference.com, Chris Narveson, Elmer Dessens, Eric O'Flaherty, George Kottaras, John Parrish, Jorge Sosa, Mets, Pedro Feliciano, Randy Flores, weird lines
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So far this year, 15 games have ended with the winning pitcher having faced only one batter. Using Baseball-Reference.com’s Play Index, I ran a search for those games to examine the trends. The most recent was Elmer Dessens, but the Mets’ Pedro Feliciano leads the league with two.
The most interesting fact to me was that only one third of the games were won by left-handed pitchers (Feliciano twice, Eric O’Flaherty, Randy Flores, and John Parrish). That doesn’t quite make sense because LHPs are more likely to come in for one batter than RHPs. (So far, 189 right-handers have games with one batter faced, compared with 198 lefties). That indicates that wins aren’t distributed uniformly across appearances.
Also interesting is the efficiency shown by Jorge Sosa in the Marlins’ May 31 game against the Brewers. He threw one pitch to pitcher Chris Narveson, who was doubled up along with catcher George Kottaras. Sosa ended up credited with 2/3 of an inning pitched and the win.
Three Interesting Events Last Night June 9, 2010
Posted by tomflesher in Baseball.Tags: Alex Cora, Baseball, Dodgers, Elmer Dessens, Ike Davis, Jose Reyes, Matt Kemp, Mets, Mike Pelfrey
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Last night, the Mets hosted San Diego and three interesting things happened. First, Jose Reyes hit a home run that was initially ruled a double, leading to a review and the Mets coming up to 4 for 5 all-time for instant replays.
Second, Mike Pelfrey threw what would otherwise have been a complete game, and a respectable one at that – 9.0 IP, 5 H, 1 R (earned), 0 BB, 6 K, and 103 pitches for a Game Score of 79. Mike, however, was criminally unsupported and the game ended up going into extra innings. Elmer Dessens ended up taking the win for the Mets with 1/3 of an inning pitched because he happened to be the pitcher of record when the third interesting thing happened. (Pelf went 0-3 at the plate and Jerry Manuel double-switched Alex Cora in after the 9th.)
In the bottom of the 11th, Ike Davis (who was 0-4 at the time) hit a solo walk-off homer. It was only the third walk-off home run for the Mets this year, and the first that wasn’t hit by a catcher. Interestingly, Matt Kemp of the Dodgers did the same thing last week – 1 for 5, with the only hit being a walk-off extra-innings home run.
How much should Manny's stats have dropped? June 8, 2010
Posted by tomflesher in Baseball, Economics.Tags: Baseball, baseball-reference.com, Jim Thome, Manny Ramirez, sports economics, steroids in baseball
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In an earlier post, I used Manny Ramirez‘s differential line to make the case that discontinuing use of performance-enhancing drugs was largely responsible for his drop in production. That’s vulnerable to the criticism that Manny is 38, and that even the best 38-year-old player’s stats drop from his 37-year-old stats.
With that in mind, I queried Baseball-Reference.com’s Play Index to find the stats of players from 1961 to 2009 who, like Manny, played 50% or more of their games in the outfield or as a designated hitter (where Manny might be if he played for an AL team). On average, the 37- and 38-year old players played about 105 games, so I scaled Manny’s drop in stats over the first 27 games to 105 games in order to make the comparison clear. The differential line is behind the cut.
The DH Redux: Japan June 7, 2010
Posted by tomflesher in Baseball.Tags: Baseball, baseballguru.com, designated hitter, Japan, NPB, OBP, regression, replication
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In an earlier post, I analyzed team-level data from Major League Baseball to determine the size of the effect that the Designated Hitter rule has on on-base percentage. The conclusion I came to was that, if the model is properly specified, the effect of the designated hitter rule is about .008 in on-base percentage. If the reasoning was correct, then when there are no other confounding variables, the effect should be similar in size for any other professional league.
Of course, the other major professional league is Nippon Professional Baseball, the major leagues of Japan. Since it produces players at a level similar to MLB, and the other factors are similar – the DH rule was adopted in 1975 by one, but not both, of the two major leagues – NPB is an ideal place to try to test the model I specified in this post.
Manny's First 27 Games (or, the Marginal Product of Drug Use) June 4, 2010
Posted by tomflesher in Baseball, Economics.Tags: Baseball, baseball-reference.com, Dodgers, economics, Manny Ramirez, performance-enhancing drugs, sabermetrics, sports economics, statistics, suspension
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Last year, Manny Ramirez was suspended for 50 games on May 6. The suspension came after his 27th game of the season. On May 25th of this year, Manny played his 27th game of 2010. That means we can take a look at the first 27 games of each season, when he was using performance-enhancing drugs (in 2009) and when he wasn’t (presumably, this year). The differential line is behind the cut.
Does the DH Rule Cause Batters to be Hit? June 2, 2010
Posted by tomflesher in Baseball, Economics.Tags: Baseball, baseball-reference.com, designated hitter, economics, hit by pitch, Kevin Youkilis, regression, sports economics
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In an earlier post, I crunched some numbers on the Designated Hitter rule and came to the conclusion that the DH adds about .3 extra trips to first base per game after accounting for trend. I’m going to play around with another stat that a lot of people seem to think should be affected indirectly by the DH rule.
The Conventional Wisdom™ is that the DH should increase hit batsman. The argument is that pitchers don’t bear the costs of hitting a batter with a pitch because they don’t bat, so they’ll be less careful to avoid hitting a batter or more likely to plunk a batter out of malice. Do the numbers bear that out?
NL Cy Young: Heating up early May 31, 2010
Posted by tomflesher in Baseball.Tags: Baseball, baseball-reference.com, Cy Young, Dallas Braden, Mark Buehrle, Roy Halladay, Ubaldo Jimenez
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There’s considerable debate, following Roy Halladay‘s perfect game, as to whether he or Ubaldo Jimenez should be considered the top contender for the National League’s Cy Young Award. Of course, it’s way too early to make those sorts of decisions, but let’s take a look at some of the data quickly.
Jimenez is sitting at 3.7 Wins Above Replacement and 38 Runs Above Replacement in 10 starts:
| Year | Age | Tm | Lg | IP | GS | R | Rrep | Rdef | aLI | RAR | WAR | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010 | 26 | COL | NL | 71.1 | 10 | 7 | 45 | 0 | 1.0 | 38 | 3.7 | $1,250,000 |
| 5 Seasons | 577.2 | 93 | 241 | 362 | 0 | 1.0 | 121 | 12.2 | $2,392,000 | |||
Halladay has considerably less, with 22 RAR and 2.4 WAR:
| Year | Age | Tm | Lg | IP | GS | R | Rrep | Rdef | aLI | RAR | WAR | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010 | 33 | PHI | NL | 86.0 | 11 | 23 | 45 | 3 | 1.0 | 22 | 2.4 | $15,750,000 |
| 13 Seasons | 2132.2 | 298 | 893 | 1407 | 19 | 1.0 | 514 | 49.8 | $88,991,666 | |||
Of course, 10 or 11 starts is far too small a sample to draw conclusions from this early in the season. Halladay has a perfect game; Jimenez has a no-hitter. Still, there’s no reason to believe that a perfect game, in and of itself, is enough to get Doc a Cy Young Award. After all, Mark Buehrle didn’t win the Cy last year, and Dallas Braden isn’t even in contention.
If both players keep pitching at or near this level, Halladay becomes a realistic contender, because at that point his marginal contribution may make the difference between whether the Phillies make the playoffs or not. As it stands right now, the NL East is entirely too volatile to make that decision.
(Incidentally, I love Baseball-Reference.com’s new stat sharing and player link tools!)
Addendum on Pythagorean Expectation May 20, 2010
Posted by tomflesher in Baseball, Economics.Tags: Baseball, economics, Pythagorean expectation, statistics
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I noted below that the sample size of 13 games is too small to make a determination as to whether the proportions of conditions expected to predict the winning team – the home team, the team with the higher Pythagorean expectation, the team with more runs scored, and the team with the higher run differential – is significantly different from chance. If chance were the only determinant of the winner, then we would expect each proportion to be .5, since you’d expect a randomly-selected home team to win half the games, a randomly-selected team with higher run differential to win half the games, and so on.
Making the standard statistical assumptions, the margin of error using proportions is . Three of the proportions were .46, meaning that the margin of error would be
which simplifies to
. Using 12 degrees of freedom, a t-table shows that the critical value for 95% confidence is 2.18. Thus, the binomial confidence interval method, tells us we can be 95% sure that the true value of the proportion lies within the range .46 ± 2.18*.1382 = .46 ± .30 = .16 … .76. Clearly, this range is far too large to reject the conclusion that the proportion is significantly different from .5.
For the simple measure of more runs, the proportion was .31, meaning that the margin of error is or
. The 95% confidence interval around .31 is .31 ± 2.18*.1283 = .31 ± .2797 = .03 … .59. Again, .5 is included in this range.