Using the retrosheet play by play databases, I divided the typical 180 day season (including days off) into roughly 18 nine day intervals. For each batter I calculated the Gross Production Average (GPA) in each interval. GPA is similar to OPS except that it weights the on base percentage (OBP) and slugging (SLG) more appropriately (OPS puts too much weight on slugging). It is calculated as follows:
GPA = (1.8*OBP + SLG)/4.
Besides weighting things more correctly, GPA is appealing because it is scaled similarly to batting average. If a GPA looks like it would be a good batting average (e.g. .315), then it's a good GPA.
Placido Polanco's GPA is tracked by interval in the chart below. You can see that his GPA rarely strayed too far from his season average. In contrast, the chart for Pudge Rodriguez shows that his GPA by interval was much more variable. To quantify this variability, I used something called the coefficient of variation (CV). For the statistically inclined, the CV is the standard deviation of the 18 data points divided by the average of the 18 data points times 100.
More simply, players with low CVs are more consistent than players with high CVs. Polanco had a CV of 16.9 and Rodriguez was at 37.5 in 2007. .I calculated the CV for every player with at least 14 intervals where he had at least 20 plate appearances. There were 194 major league qualifiers in 2007 and their CVs ranged from 13.9 to 48.9.
Table 1 below lists the Tigers in order from least consistent to most consistent. The most consistent Tigers in 2007 were newly acquired Edgar Renteria, Placido Polanco and Carlos Guillen. The streakiest Tigers were Pudge Rodriguez, Brandon Inge and Gary Sheffield.
Table 2 includes the most consistent hitters in the major leagues in 2007. Renteria also tops that list followed by Chipper Jones and Chase Utley. Table 3 includes the streakiest hitters. Leading that group are Dioner Navarro, John Buck and Andrew Jones.
In a future post (more than one if it gets interesting), I'll compare the characteristics of consistent hitters and streak hitters, examine the repeatability of the the GPA CV stat and look to see if it is predictive of future production in any way.
The information used here was obtained free of charge from and is copyrighted by
Retrosheet. Interested parties may contact Retrosheet at "www.retrosheet.org".
Table 1: Consistency of Tiger batters in 2007
last name | PA | GPA | CV | |
Edgar | Renteria | 543 | .292 | 13.9 |
Placido | Polanco | 641 | .289 | 16.9 |
Carlos | Guillen | 630 | .286 | 22.8 |
Curtis | Granderson | 676 | .299 | 24.7 |
Jacque | Jones | 495 | .250 | 27.2 |
Magglio | Ordonez | 679 | .344 | 27.5 |
Miguel | Cabrera | 680 | .321 | 29.1 |
Sean | Casey | 496 | .257 | 30.3 |
Gary | Sheffield | 593 | .285 | 36.8 |
Brandon | Inge | 577 | .233 | 37.3 |
Ivan | Rodriguez | 515 | .237 | 37.5 |
Table 2: Top ten most consistent hitters in majors in 2007
first name | last name | PA | GPA | CV |
Edgar | Renteria | 543 | .292 | 13.9 |
Chipper | Jones | 600 | .342 | 13.9 |
Chase | Utley | 613 | .326 | 14.5 |
Carlos | Ruiz | 429 | .250 | 16.4 |
Aramis | Ramirez | 558 | .302 | 16.6 |
Placido | Polanco | 641 | .289 | 16.9 |
Victor | | 644 | .298 | 17.3 |
Prince | Fielder | 681 | .332 | 17.4 |
Ichiro | Suzuki | 737 | .288 | 17.9 |
Aaron | Rowand | 684 | .296 | 18.0 |
Table 3: Least consistent hitters in majors in 2007
first name | last name | PA | GPA | CV |
Dioner | Navarro | 434 | .215 | 48.9 |
John | Buck | 399 | .246 | 46.5 |
Andruw | Jones | 659 | .243 | 40.1 |
Mike | Jacobs | 460 | .257 | 40.1 |
Jack | | 535 | .266 | 39.9 |
Casey | Kotchman | 508 | .283 | 37.5 |
Ivan | Rodriguez | 515 | .237 | 37.5 |
Carlos | Pena | 612 | .341 | 37.5 |
| Inge | 577 | .233 | 37.3 |
Chris | | 432 | .279 | 36.9 |
The information used here was obtained free of charge from and is copyrighted by
Retrosheet. Interested parties may contact Retrosheet at "www.retrosheet.org".
Nice work. I really like the whole concept behind this. You should consider taking your best sabermetric posts and throwing them into an ebook.
ReplyDeleteWhile I'm not usually the biggest fan of the GPA (I think it gives too much credit to weaker hitting, obp players: ie, Brian Giles .289, Polanco .295) this is a great little study. I was surprised to see Carlos Pena in the 10 least consistent category after his huge 2007. I'm sure the fantasy guys would be all over info like that.
Thanks for reading my blog. I'm still not sure what's going to come out of this particular study. It looks like consistent hitters have better overall production on average. I'm not sue how predictive it is yet. I need to do some more analyses.
ReplyDeleteI'm not wedded to GPA. It does work better than OPS at the team level but it's not something I've used that often. I typically use RC but I wanted to try something different.