Showing posts with label MLB. Show all posts
Showing posts with label MLB. Show all posts

Thursday, May 21, 2009

A Look At Home Runs In Minute Maid Park

With the UW Club Baseball team, I had the fortune to play at a myriad of parks this last year. Many of them were, to say the least, not good. Aside from the poor infields and bumpy outfields that can be expected playing at public parks, one of the things that a player must adjust to is the distance of the fence. At one park I played at, the fence was concave - the shortest point in right field came about 30 feet to the left of the RF foul pole. In high school, a non-conference rival's field had the right field foul pole 240 feet from home plate.

Certainly, ballparks in the major leagues don't have dimensions that ridiculous. Still, some parks play very differently from others. One of these is Minute Maid Park. Famous for the Crawford Boxes down the left field line and the hill in center field, Minute Maid Park's dimensions make it a difficult place for opposing outfielders (and home outfielders, for that matter). Not only do the dimensions change how outfielders play, they also has drastic effects on the number of home runs hit .

The two points of interest mentioned above are what I decided to take a closer look at. Thanks to one of my favorite websites, www.hittrackeronline.com , people can see the trajectory and distance of every home run hit in the major leagues. Here is a plot of all 43 home runs hit at Minute Maid Park entering last night's game.




The blue dots in the picture are the landing points of the home runs.

First, let's examine the home runs hit to left field. At first glance, it looks like these are all cheapies. This plot, however, shows landing points, and because of the wall behind the Crawford Boxes roughly 350 feet away from the plate, none of these HRs will look like they went farther despite hitting high enough off the wall that they would've traveled much farther. There have been 18 HRs hit to into the Crawford Boxes so far this year. Here they are in chart form.


There are only 3 HRs here over 400 feet. Not a whole lot of bombs hit here. However, the most interesting thing to note here is the number of parks that a ball hit with that trajectory would be a home run in. 11 of the 18 HRs would be out in every park. This isn't surprising, as the portion of the field we're examining is relatively close to the left field line, and a 370 foot homer down the line is out in any stadium. What stands out in this list are the 4 home runs at the top. Between these 4 home runs, they would produce a total of 10 HRs out of 120 possible. That's 8.3%. Let's take a look at these 4 home runs in a relatively neutral stadium - Atlanta's Turner Field.



Not only are those not HRs. Those aren't even close. Over 20 games, Minute Maid Park has added 4 HRs that wouldn't be a HR in the average ML stadium (or nearly any stadium, for that matter). Considering these balls are so far from the fence, it's probably safe to assume that an average ML left fielder could turn these balls into outs. That means that LF in Minute Maid Park adds 16 HR over a full season. According to linear weights, that's roughly 31 runs over 81 games.

Of course, not all of Minute Maid Park is built so short. Center field in Houston is the deepest in the majors at 436 feet, and that's even before taking the hill into account. Much unlike left field, center field tends to swallow up HRs and turn them into either doubles, triples, or outs. Here is a plot of Minute Maid park with 4 homers that are out in 27 out of 30 parks, but would stay in at the Juice Box.


In this picture, no home runs were hit between the two black lines coming out from home plate. The red dots show the HRs trajectory, the blue dots show the landing spot, and the green dots show their "Std. Distance", or their projected landing spot had they not hit elevated ground. Here are the 4 home runs in tabular form.


All of these home runs were farther than 414 feet in Std. Distance. These are the kind of hits that get deemed moonshots by the announcers. These are just examples. Across the league, there have been 198 home runs hit between the black lines in the above picture, and none of them have occurred at Minute Maid Park. That's 16% of the total number of home runs hit in the major leagues (1232 total), and yet, we see 0 of them in Minute Maid. If we take out the 4 home runs that were added by the Crawford Boxes, Minute Maid would've allowed 39 home runs as of yesterday's games. However, if we would expect 16% of the home runs to come from between the black lines, then that would mean that there are 6 would-be home runs missing. It seems, then, that at least so far this year, these two parts of Minute Maid combined have actually suppressed 2 homers over 20 games.

Over the small sample size, it is likely that the home runs added by the Crawford Boxes and those suppressed by the deep center field will even out. Minute Maid is also getting slightly more home runs than average in right field and left-center, to put it's 2.15 HR/G rate slightly above the league average of 2.08, consistent with its park factors over the years. Minute Maid Park is one of those quirky parks that, as a road team, certainly make you change the way you play both as an outfielder, a hitter, and a pitcher.

Saturday, May 16, 2009

LaTroy Hawkins Blows It Again... Again



LaTroy Hawkins, pictured above in his short stint with the Colorado Rockies, has been much maligned over his career. Hawkins has pitched, since 1995, with the Minnesota Twins, Chicago Cubs, San Francisco Giants, Baltimore Orioles, Colorado Rockies, New York Yankees, and currently the Houston Astros, as well as for the USA in the 2009 WBC. Hawkins has been moderately productive over his 13 years, producing 11.2 wins above replacement.

Today, LaTroy Hawkins entered in a 4-4 game between the Cubs and his Houston Astros. It took 3 batters for the Cubs to score the game winning run off Hawkins. Although this was not a save situation, many fans of Hawkins former teams will attest to his ability to blow saves. In fact, since 2002, Hawkins leads the MLB in blown saves with 39, which is even more amazing (ridiculous?) considering his save total of 37 in that time period.

The blown save requires that the pitcher enter a "save situation" and then give up the lead. It sounds like it would be difficult for a non-closer to rack up as many blown saves as Hawkins did, then. However, nearly any time that a pitcher ends with a lead could technically be considered a "save situation."
    • He enters the game with a lead of no more than three runs and pitches for at least one inning.
    • He enters the game, regardless of the count, with the potential tying run either on base, on deck.
    • He pitches for at least three innings.
So anytime the reliever gives up the tying run - whether or not that run is inherited from other relievers - the reliever is charged with a blown save.

Interestingly enough, LaTroy Hawkins has not been below replacement level for any full season during this period in which he's leading the league in blown saves, according to either FanGraph's Value Wins as well as Rally's WAR database. Hawkins is certainly not a great reliever and not necessarily even a good one, but he's certainly not as terrible as his blown saves number would suggest. Then again, I suppose that would be nearly impossible.

Wednesday, April 29, 2009

Free Ryan Langerhans

If I was in AAA with your talent I'd be barking too.


Every season, we see a few players start the season in the minor leagues who are clearly better than some bench players currently seeing time in the show. Fangraphs already did a piece on Matt Murton, who is tearing up AAA with the Rockies' affiliate in that league. I'd like to look at a guy that encompasses what I love in a 4th outfielder. Much like the Brewers' Chris Duffy, I like a 4th outfielder who has the ability to play plus defense at all 3 OF positions, has speed, and decent on base skills. Ryan Langerhans is an even better example of this kind of player.

Langerhans first came up with Atlanta in 2002, but didn't receive any sort of regular playing time until 2005. In his first two real seasons in the big leagues, Langerhans put up 3.5 wins in 641 PAs, based upon roughly league average hitting (-2.0 bRAA) and amazing defense, posting a +21.3 UZR between all 3 OF positions, with most of his playing time seen in LF. Unfortunately for both Langerhans and Braves fans, he completely tanked in 2007, playing for three different teams (Atlanta, and then Oakland and Washington following midseason trades) and putting up a combined line of .167/.272/.305, for an abysmal .262 wOBA, worth -13.8 bRAA. Combine that with some poor fielding in CF (-6.5 UZR in 40 games), and Langerhans put up one of the worst seasons in recent memory, worth -1.3 wins. As such, he has been relegated to bench and minor league duty since then.

Langerhans started 2008 in the minors, showing great on-base skill in Columbus (AAA), walking 40 times in 256 PAs, for a 11.7% BB% and posting a .310/.418/.446 line, good for a .390 wOBA. In addition, Langerhans showed the ability to steal bases, with 12 SBs against only 3 CSs, as well as play good defense in CF, with a +2 TotalZone rating in the short span. This performance would lead to a call-up, and in 73 games (139 PA), Langerhans showed the ability to play in the Majors once again, putting up a 4.5 UZR and 2.8 bRAA to be worth 0.8 wins in his short time. The signing of Adam Dunn last winter made Langerhans expendable, however, and Langerhans has spent 2009 in the minors, this time with Syracuse, the new AAA affiliate of the Nats. He's continued to show good on-base skills, with a .415 OBP in 40 PAs.

As Dave Cameron mentions regarding Murton, there's no way there are 750 players better than Ryan Langerhans in the major leagues. CHONE projects Langerhans to be an excellent fielder either in LF or CF (+14 or +9). The various projection systems see Langerhans as a slightly below average hitter, with wOBAs varying from .324 (ZiPS) to .330 (CHONE). With that kind of performance sustained over 600 PAs, that's approximately a 3 win player. Somebody needs to go out and get this guy and put him on a roster, whether it's as a starter or a 4th outfielder, and whoever does it will be glad they did.

Minor League Data from www.minorleaguesplits.com

Major League Data and Projections from www.fangraphs.com

Wednesday, April 08, 2009

WPA Studs and Duds 4/08/2009

STUDS


STARTING PITCHER
Ubaldo Jimenez - COL
7 IP, 4 H, 3 BB, 0 ER, 8 SO, W (1-0)
+.496 WPA in the Rockies' 3-0 victory over ARI

RELIEF PITCHERS
Neal Cotts - CHC
1 IP, 2 H, 1 ER, 1 SO
+.142 WPA in the Cubs' 3-2 extra-inning loss to HOU
Entered with runners on 1st and 2nd, score 2-2, 9th inning. Retired the side without allowing any hits (+.319 WPA), but then allowed two hits to open up the 10th (-.177 WPA).
Jose Valverde - HOU
1 IP, 0 H, 0 ER, 2 SO
Valverde pitched a scoreless 9th to send the game to extras (+.142 WPA).

HITTER
Jim Thome - DH
3-4, 2 R, HR, 3 RBI
+.621 WPA in the White Sox' 4-2 victory over KCR
Thome had a solid day overall, but his WPA was boosted by his go-ahead 3 run HR off Kyle Farnsworth in the 8th inning (+.602 WPA).

DUDS

STARTING PITCHER
Jeff Suppan - MIL
4 IP, 6 H, 1 HR, 6 ER, 1 BB, 1 SO, L (0-1)
-.468 WPA in the Brewers' 10-6 loss to SFG

RELIEF PITCHER
Brandon Lyon - DET
1.0 IP, 3 H, 1 HR, 3 ER, 2 BB, 0 SO, BS (1), L (0-1)
-1.122 WPA in the Tigers 5-4 loss to TOR
Lyon blew a 2 run lead in the 8th after serving up a 3 run homer to Aaron Hill (-.715 WPA) and then couldn't hold a tie in the 9th after the Tigers tied it up (-.375 WPA).

HITTER
Carlos Quentin - CHW
0-4, 1 SO
-.256 WPA in the White Sox' 4-2 victory to SEA

Sunday, November 02, 2008

From MLB.com: Nationals targeting slugger to clean up

They may have gone so far as to put a classified ad in the Washington Post!

Friday, October 31, 2008

A Lesson on Lineup Optimization, With Help From Everybody's Favorite 16-Bit Baseball Simulator

Lineup optimization is a topic that is on the minds of many managers, gms, and coaches at any level of baseball (and really any sport). In baseball, lineup optimization can be reduced to a statistical science, thanks to the ridiculous amount of data provided by 30 teams playing 162 game every year for the last 105 years (staying in the World Series era). I would like to take some time to explain a few of the findings found by some researchers through the example of one of my favorite video games of all time, Ken Griffey Jr. Presents Major League Baseball for SNES.




START

All data on lineup optimization is taken from The Book, by Tom Tango, Mitchell Lichtman, and Andrew Dolphin.

Today, we'll be looking at the lineup of my favorite team, the Milwaukee Brewers. One of the quirks of Ken Griffey Jr. Presents Major League Baseball is the use of fake names for all the players. This is because of the fact that Nintendo did not acquire the MLBPA license for this game, and thus could not use any names (other than that of Griffey Jr.'s). This will be interesting, because after the lineup is optimized, I will go back and replace the fake names with the real ones and we can compare stats using lineup optimization tools on the web. Rosters are from the 1993 season. Also, note that the Brewers are still in the AL at this time, and so they still use the DH.

Let's take a look at the current lineup.

FORMAT:
NAME AVG/HR/RBI "BAT/POW/SPD/DEF"

Bat = Contact rating, Pow = power, SPD = speed, DEF = defense (basically arm)

RF J. DRAKE .310/9/48 9/4/10/8
CF S. TEMPLAR .258/8/51 7/4/7/9
3B N. SOLO .274/7/79 8/4/5/6
LF J. STEED .267/30/97 7/9/5/6
DH E. PEEL .249/13/60 5/7/4/3
1B K. GALE .264/19/70 6/7/5/5
CA J. BOND .257/7/40 6/4/4/7
SS J. ROCKFORD.244/3/30 5/4/9/8
2B P. MARLOWE .238/2/36 5/4/5/6
BENCH
CA G. IRONSIDE.198/4/25 4/6/5/5
IF S. SLADE .228/5/36 4/4/5/8
IF T. PRISONER.269/11/57 7/7/4/6
IF P. COLUMBO .269/1/33 7/3/5/5
OF R. STEEL .183/6/29 3/8/4/6
IF P. MAGNUM .319/0/1 7/2/6/8

So that's what we have to work with here. Clearly not a whole lot, only one 20+ HR hitter, only 4 10+. Not a whole lot of team speed either, with only two players with above an "8" rating in speed (basically the cutoff needed to beat out any infield hit against a half decent defense). Now that we have our team, we need to think about what we want in our batting order. Here are some points that we should consider

1. The best hitters should bat the most times.
2. The best hitters should bat the most often with men on base.
3. The worst hitters should bat the least times.

That's the simple way to look at it. Point 2 is often why the best hitter is placed in the #3 order in the lineup. However, statistical analysis of MLB over multiple seasons show that this does not give the most leverage to the best hitter. This sounds odd, because you would expect that the #3 hitter would often expect to have runners on base in front of him and the ability to drive them in. However, when you realize that even the league leaders in OBP are rarely above .450 and almost never above .500 (except for one Barry Bonds), the chances are actually very high that the #3 hitter will bat with nobody on base and 2 outs in the first inning, a very low leverage situation. This is why it is better to have the best hitter in the #4 spot, where they are either batting with runners on base in front of them or leading off an inning, another relatively high leverage situation. According to The Book, in order to maximize leverage for a lineup
Your three best hitters should bat somewhere in the #1, #2, and #4 slots. Your fourth- and fifth-best hitters should occupy the #3 and #5 slots. The #1 and #2 slots will have players with more walks than those in the #4 and #5 slots. From slot #6 through #9, put the players in descending order of quality

OK, so now we have to decide how we will measure hitter quality. Simply using BAT + POW + (SPD/5) would give a simple measurement (since speed is relatively indeterminate in a hitters contribution but should not be ignored) would work well, but through personal experience in this game I know that a BAT 5 POW 5 player would be much better than a BAT 9 POW 1 player. This makes sense in the real world of baseball given that players like Adam Dunn and Jack Cust are far more productive than guys like, say, David Eckstein who are known as "contact" hitters but can barely hit the ball out of the infield. However, in this game there is a bit of relation of contact to power, so we can't let POW completely outweigh BAT. I suggest

BAT + 1.33POW + .2SPD + .5DEF

Defense is also quite important, especially in a video game in which the players are much smaller than they are in real life relative to the field and thus have to cover much more ground.

So using this equation, we get the following ranks:

RF J. DRAKE 16.32 20.32
CF S. TEMPLAR 13.72 18.22
3B N. SOLO 14.32 17.32
LF J. STEED 19.97 22.97
DH E. PEEL 15.11 16.61
1B K. GALE 16.31 18.81
CA J. BOND 12.12 15.62
SS J. ROCKFORD12.12 16.12
2B P. MARLOWE 11.32 14.32
BENCH
CA G. IRONSIDE12.98 15.48
IF S. SLADE 10.32 14.32
IF T. PRISONER17.11 20.11
IF P. COLUMBO 11.99 14.49
OF R. STEEL 14.44 17.44
IF P. MAGNUM 10.86 14.86


Now, let's make a lineup. In the first column is pure hitting value. In the second column, defensive value is included. Because defense is regardless of position in this game, we are free to take simply the top 9 overall values. This gives us the following 9:
LF J. STEED 19.97 22.97
RF J. DRAKE 16.32 20.32
IF T. PRISONER17.11 20.11
1B K. GALE 16.31 18.81
CF S. TEMPLAR 13.72 18.22
OF R. STEEL 14.44 17.44
3B N. SOLO 14.32 17.32
DH E. PEEL 15.11 16.61
SS J. ROCKFORD12.12 16.12

First, we need our top 3 batters. They are Steed (19.97), Prisoner (16.32), and Drake (16.32). In order to decide who goes at 1, 2, and 4, let's look at the value of the HR at each position. The average run value of the HR at the 1, 2, and 4 spot respectively is
1.291, 1.349, and 1.436. Therefore, power among these 3 hitters should increase. That means that Drake will leadoff (4 POW), Prisoner will bat 2nd (7 POW), and Steed will cleanup (9 POW).
Now we need the next two best hitters. They are Gale and Peel. Because these two hitters have equal POW numbers, the better BAT player will go in the 5 spot because the average run value of the single, double, and triple are slightly higher. So Gale will bat 5 (6 BAT) and Peel will bat 3 (5 BAT). After that, we merely go in descending order. So #6 is Steel, 7 is Solo, 8 is Templar, and 9 is Rockford. Here is the lineup, along with the real person they correspond to along with their OPS+ for the 93 season.

1. J. DRAKE = Darryl Hamilton 109
2. T. PRISONER = Kevin Seitzer 119
3. E. PEEL = Kevin Reimer 87
4. J. STEED = Greg Vaughn 128
5. K. GALE = John Jaha 103
6. R. STEEL = Tom Brunansky 58
7. N. SOLO = B.J. Surhoff 91
8. S. TEMPLAR = Robin Yount 90
9. J. ROCKFORD = Pat Listach 73

It would appear that I weighted POW slightly high, but this still worked pretty well overall. Since Brunansky appears to be an outlier, let's replace him with the next highest total value on the list, which would be J. BOND, or Dave Nilsson, who had a 93 OPS+, but has the lowest offensive value, so he'll bat 9th and everybody under him will move up. So our final lineup is:

1. J. DRAKE = Darryl Hamilton 109
2. T. PRISONER = Kevin Seitzer 119
3. E. PEEL = Kevin Reimer 87
4. J. STEED = Greg Vaughn 128
5. K. GALE = John Jaha 103
6. N. SOLO = B.J. Surhoff 91
7. S. TEMPLAR = Robin Yount 90
8. J. ROCKFORD = Pat Listach 73

9. J. BOND = Dave Nilsson 93

Finally, let's take a look at the expected runs/game for both the original lineup and the final lineup, using the lineup analysis tool at http://www.baseballmusings.com/cgi-bin/LineupAnalysis.py

Original lineup: 4.436 runs/game
Final lineup: 4.632 runs/game

So we've added .196 runs/game, which over the course of a 162 game season, adds 31.752 runs. At 10 runs/win, that adds a total of 3 wins to our total! That could very well be the difference between making or missing the playoffs, so we should be very happy with our results!

Now wasn't that fun?

Friday, October 24, 2008

Addendum: The people on Jim Rome's show also have no idea what they're talking about.

Mike Sando (or whatever his name is) needs to shut up. Long swings don't hit home runs. Did any of these guys actually play the game? Have they ever really watched a game? Hitting the ball to the right side to score a run either reduces win probability or is a wash. Your goal, as a hitter, with a runner on third base is not the ground ball to the right side that scores a run. The goal is a hit. That runner from third, with less than two outs, is going to score a high enough percentage of the time that the groundout, in most situations either does not effect win probability or

Check out the game log from last night.
B MyersC Pena10_231-0
Carlos Pena grounded out to shortstop (Grounder). Akinori Iwamura scored. B.J. Upton advanced to 3B.
1.381.9968.9 %
.005-0.05
B MyersE Longoria11__32-0
Evan Longoria grounded out to shortstop (Grounder). B.J. Upton scored.
1.210.9470.9 %
.0210.16

Those are the two plays from the first inning in which the Rays scored on groundouts. Total WPA is .026. This means that these two plays, combined, added a 2.6% chance to the Rays win probability. Really, the play that actually mattered this inning was here.
B MyersB Upton101__0-0
B.J. Upton singled to right (Liner). Akinori Iwamura advanced to 3B on error. B.J. Upton advanced to 2B. Error by Jayson Werth.
1.420.8868.4 %
.1011.10

This play was essentially a double, although it was poorly played by Werth in RF. For all intents and purposes of win probability, it was a double. The play had a WPA of .101, meaning it added 10.1% to the Rays chances of winning. Basically, BJ Upton did all the working in making it so that those undesirable groundouts following him had slightly positive results. "Big Ball" will always beat "Small Ball," and don't let people like Rome and Sando let you think otherwise.



Also people are making a big deal about this play:

B MyersJ Bartlett411_34-0
Jason Bartlett sacrificed to pitcher (Bunt Grounder). Cliff Floyd scored. Rocco Baldelli advanced to 2B.
0.871.1991.1 %
.0160.14

Again, WPA is only .016. This play made the Rays 1.6% more likely to win this game. The only reason that this is a marginally good play, in my eyes, is that Jason Bartlett can't hit his way out of a wet paper bag. The thing is, with a 3 run lead, adding one extra run doesn't make a big difference. You want to pile on the runs and create a legitimate rally, and while the bunt scores the run, it's a complete rally killer, whereas letting Bartlett swing away has a very high chance of the run scoring anyway, whether it's on his at bat or the at bats following his.

Wednesday, October 15, 2008

Inside the mind of a statistically-inclined baseball aficionado.

I love baseball. I'm never happier than when I'm around a baseball field. I've played organized baseball since I was 5 and probably was introduced to the game much earlier than that. I've never been the most talented player on any team I've played on, but I've never let that deter my interest for the game. I currently play for the University of Wisconsin Club Baseball B team, and I play first base and right field.

I follow Major League Baseball intensely, and I am a big fan of the Milwaukee Brewers, but even when they're not playing, I always find something in the game to hold my interest. I now enjoy playing Fantasy Baseball, as well as watching any MLB game that happens to be on the TV. When I first got into Fantasy Baseball, 5 years ago, I was introduced to such crazy stats as "OPS" and "WHIP." At first, I was skeptical. I first thought that these stats were de-humanizing the game and that the game was random enough and based enough on things like "heart" that those stats couldn't possibly mean any more than your typical stats like batting average, and that the most valuable player was simply the one who hit the most home runs or had the highest batting average.

However, after aging a bit and learning much much more about statistics and mathematics, I've come to understand and love these statistics. If you're a skeptic like I used to be, I have two publications that I heartily recommend. First, check out the following website: www.fangraphs.com - this website has projections for every player and also a very cool scoreboard feature which shows the win probability of each team based on run expectancies and other crazy things. To learn more about that, check out my second suggested reading: The Book. To get a sneak peek before you invest, check out www.insidethebook.com - this book uses intense mathematical and statistical analysis to show what strategies and outcomes are better and simply shows the best way for a GM or manager to optimize his team.

Expect a lot of posts here talking about either my own personal baseball experiences, both as a coach and a player, as well as about the MLB and the MLB media. I can't wait to tear the people offering the MVP award to Ryan Howard a new one.