Monday, November 25, 2013
Sabermetrics Book
With the holidays approaching, I wanted to remind people about my book Beyond Batting Average. I'm pleasantly surprised that the hard copy version of the book continues to sell pretty well without much promotion. I can thank Google, Amazon, Twitter and a number of internet friends for that.
Not as many people know about the less expensive e-book that can be purchased on Lulu.com. You can purchase the e-book version of Beyond Batting Average for $4.00 on Lulu. The hard copy version costs $14.00 (also available at Amazon).
Beyond Batting Average was published in 2010 and I believe it is still the most up-to-date and comprehensive sabermetrics primer available. It is accessible to fans who are trying to learn sabermetrics and would like a more organized and broader presentation of the subject than you'll typically find on the internet. My book serves as a good introduction to more advanced books such as The Book by Tom Tango, Mitchell Lichtman and Andrew Dolphin.
Some of my favorite reviews of Beyond Batting Average are listed below:
Dan Dickerson (Detroit Tigers broadcaster)
I really love Beyond Batting Average - it makes the cut for the "suitcase" library that I take with me on the road...definitely a handy resource
James Bailey Baseball America's Top Ten Books of 2010
For fans who want to learn more about new sabermetric statistics, Lee Panas' "Beyond Batting Average" is a great resource that can easily be followed by any student of the game...
What the book does particularly well is explain complicated concepts in simple terms.
Neil Paine (Baseball-Reference)
I have no doubt that you'll find it easy to keep up with the stats that Panas presents. I was also impressed with how comprehensively Panas covered each topic; on several occasions, he delved into metrics that even I would not have thought to include in the discussion. Simply put, after reading this, you will be able to converse about sabermetrics with pretty much anybody and hold your own.
Tom Tango (The Book Blog)
If you are a non-mathy guy, but want to understand sabermetrics better, then a huge thumbs up for this book. If you are pretty much comfortable with sabermetrics, but still not there yet (you haven’t run any of your own studies), then a regular thumbs up.
David Gassko (The Hardball Times)
There has not really been a comprehensive resource that explains all the sabermetric statistics you need to know in one simple package. Well, at least there wasn’t until Lee Panas published Beyond Batting Average.
Dan Szymborski (Baseball Think Factory)
Panas hits all the basic issues quite well and seems to be very up-to-date on what measures are generally used by the statnoscenti of the internet, which is extremely helpful to people who want to jump in with both feet. The author is also very good at telling the reader where these stats can be found and has focused on stats that are readily accessible to the public.
Steve Slowinski (DRays Bay)
Lee's writing is clear and concise, but also quite engaging for a topic that can sometimes get quite nerdy and dull. If you're looking to learn more about sabermetrics and want a book to start you off on the right foot, this is a great book to look into. And even if you already know a good deal about sabermetrics, it's a really handy reference tool. I consider myself well versed in baseball statistics, but I learned a decent bit from the book and I'm sure that I'll be referring to it whenever I have questions over the course of the season. Thanks Lee, this is a keeper.
Justin Inaz (Beyond The BoxScore):
Lee Panas published a terrific sabermetric primer. It's extremely current, with great scope, and will be an awesome resource for those interested in learning more about sabermetrics--especially player valuation statistics. I'm linking to Tango's review of it, but you can find the book on Lulu. If I do my baseball class again next year, I'll probably assign Lee's book.
Toirtap (Walk Like A Sabermerician)
Lee's straightforward approach and knowledge will make it a good resource for those who are just getting into sabermetrics.
Kurt Mensching (Bless You Boys)
With his book, Lee gives the reader a step-by-step guide through how stats were developed and how to best apply them.
Sunday, November 24, 2013
Who Makes The Best PIZAA In Baseball?
Most of the readers of this blog have checked out the advanced fielding statistics at sites like FanGraphs and Baseball-Reference from time to time. A metric such as Defensive Runs Saved (DRS) give us an idea of a player’s overall fielding performance. It is given as runs saved above what would be expected from the average player at the given position. It is discussed in more detail in the fielding glossary.
You may also have noticed two additional columns at FanGraphs labeled RZR and OOZ. These are the Revised Zone Rating statistics developed by John Dewan, president of Baseball Info Solutions. Dewan later developed the more detailed DRS metric. The Revised Zone Rating system is comprised of the following measures:
You may also have noticed two additional columns at FanGraphs labeled RZR and OOZ. These are the Revised Zone Rating statistics developed by John Dewan, president of Baseball Info Solutions. Dewan later developed the more detailed DRS metric. The Revised Zone Rating system is comprised of the following measures:
- Balls in play within a fielder’s zone (BIZ)
- Plays made in the zone (Plays)
- Proportion of balls in zone converted into outs (RZR)
- Plays made outside the zone (OOZ)
A play is considered to be inside a positional zone if half the balls hit into that area are converted into outs by all the players in baseball at that position. While the Revised Zone Rating system is less sophisticated than DRS, it is useful because it separates the plays a player made inside his zone from the plays outside his zone. The data, of course, should be interpreted with caution as is the case with all defensive metrics especially with the increasing trend of defensive shifts.
Table 1 below shows how the distinction between in-zone and out-of-zone plays can be useful. Phillies shortstop Jimmy Rollins converted 334 out of 407 (82.1%) of balls in his zone into outs in 2013. Brewers shortstop Jean Segura had a similar number of balls hit into his zone (402) but had a smaller RZR (77.9%). Conversely, Rollins made fewer out-of-zone plays (49) than Segura (98). These data suggest that Rollins may have been the steadier fielder on balls hit in the shortstop zone but that Segura was better at making difficult plays.
Table 1 below shows how the distinction between in-zone and out-of-zone plays can be useful. Phillies shortstop Jimmy Rollins converted 334 out of 407 (82.1%) of balls in his zone into outs in 2013. Brewers shortstop Jean Segura had a similar number of balls hit into his zone (402) but had a smaller RZR (77.9%). Conversely, Rollins made fewer out-of-zone plays (49) than Segura (98). These data suggest that Rollins may have been the steadier fielder on balls hit in the shortstop zone but that Segura was better at making difficult plays.
Table 1: Revised Zone Rating Statistics for Jimmy Rollins and Jean Segura, 2013
Player | BIZ | Plays | RZR | OOZ |
Jimmy Rollins | 407 | 334 | .821 | 49 |
Jean Segura | 402 | 313 | .779 | 98 |
Some readers may have wondered whether these statistics could be translated to runs above average like most of the other defensive metrics. A few years ago, Colin Wyers (who has since been hired by the Houston Astros) developed an algorithm which combined RZR and OOZ and translated these numbers into plays made above average (PMAA) and runs saved above average (RSAA). Wyers' algorithm has a lot of steps and I'm not going to repeat the whole process here. If you want see all the math, you can read my post from last year.
Table 2 below shows the MLB leaders among shortstops in 2013. The top shortstop in the majors was Andrelton Simmons of the Braves with 33 PMAA. The 33 plays made can be broken down into two parts: 30 Plays in Zone Above Average (PIZAA) and 3 Plays Out of Zone Above Average (OOZAA). PIZAA and OOZAA may be two of the most amusing acronyms out there and you are probably relieved that I didn't show all the math. Simply stated though, Simmons was exceptional on plays in the shortstop zone and slightly above average outside the zone.
The final column of the table shows that Simmons saving an estimated 25 runs for the Braves. Simmons was also rated as spectacular by DRS (+41), Baseball-Reference's Total Zone (+30) and Baseball Prospectus' FRAA (+27).
Table 2 below shows the MLB leaders among shortstops in 2013. The top shortstop in the majors was Andrelton Simmons of the Braves with 33 PMAA. The 33 plays made can be broken down into two parts: 30 Plays in Zone Above Average (PIZAA) and 3 Plays Out of Zone Above Average (OOZAA). PIZAA and OOZAA may be two of the most amusing acronyms out there and you are probably relieved that I didn't show all the math. Simply stated though, Simmons was exceptional on plays in the shortstop zone and slightly above average outside the zone.
The final column of the table shows that Simmons saving an estimated 25 runs for the Braves. Simmons was also rated as spectacular by DRS (+41), Baseball-Reference's Total Zone (+30) and Baseball Prospectus' FRAA (+27).
Former Tigers shortstop Jhonny Peralta had -2 PIZAA and -1 OOZA which shows that he was about average both inside and outside the zone. This might be a surprising result, but if we look at two years of data (2013-2013), we see the Jhonny we know: +14 in the zone and minus -21 outside the zone.
Tigers current shortstop Jose Iglesias has unexpected number the last two years: +6 PIZAA and -1 OOZA but that's based on under 800 innings. I would guess that his outside-the-zone play will rate much better in the future.
Table 2: Runs Saved by MLB Shortstops According to RZR, OOZ, 2013
Player | Team | Inn | RZR | OOZ | PIZ AA | OOZ AA | PMAA | RSAA |
Andrelton Simmons | ATL | 1,352 | .876 | 73 | 30 | 3 | 33 | 25 |
Clint Barmes | PIT | 804 | .843 | 60 | 9 | 18 | 27 | 21 |
Pete Kozma | STL | 1,051 | .838 | 69 | 12 | 14 | 26 | 19 |
Jean Segura | MIL | 1,251 | .779 | 98 | -10 | 33 | 23 | 17 |
Troy Tulowitzki | COL | 1,029 | .862 | 51 | 20 | -3 | 17 | 13 |
Yunel Escobar | TBR | 1,320 | .782 | 90 | -7 | 21 | 14 | 11 |
Pedro Florimon | MIN | 1,099 | .838 | 58 | 12 | 1 | 13 | 10 |
Alcides Escobar | KCR | 1,388 | .790 | 89 | -4 | 17 | 12 | 9 |
Ian Desmond | WSN | 1,400 | .844 | 69 | 15 | -4 | 11 | 9 |
Brendan Ryan | - - | 854 | .759 | 64 | -12 | 19 | 8 | 6 |
Elvis Andrus | TEX | 1,288 | .822 | 63 | 6 | -4 | 2 | 1 |
Zack Cozart | CIN | 1,308 | .849 | 54 | 15 | -14 | 1 | 1 |
Alexei Ramirez | CHW | 1,400 | .820 | 65 | 7 | -8 | -1 | -1 |
Starlin Castro | CHC | 1,418 | .804 | 72 | 0 | -2 | -2 | -1 |
Brandon Crawford | SFG | 1,226 | .813 | 58 | 3 | -6 | -2 | -2 |
Jhonny Peralta | DET | 935 | .796 | 48 | -2 | -1 | -3 | -2 |
Everth Cabrera | SDP | 847 | .804 | 41 | 0 | -3 | -3 | -2 |
J.J. Hardy | BAL | 1,417 | .804 | 69 | 0 | -5 | -5 | -3 |
Didi Gregorius | ARI | 894 | .795 | 43 | -2 | -4 | -6 | -4 |
Stephen Drew | BOS | 1,093 | .788 | 55 | -4 | -2 | -6 | -5 |
Adeiny Hechavarria | MIA | 1,297 | .801 | 61 | -1 | -7 | -8 | -6 |
Asdrubal Cabrera | CLE | 1,099 | .788 | 51 | -4 | -6 | -10 | -8 |
Jimmy Rollins | PHI | 1,318 | .821 | 49 | 7 | -20 | -13 | -9 |
Omar Quintanilla | NYM | 814 | .771 | 33 | -8 | -9 | -17 | -13 |
Jed Lowrie | OAK | 1,023 | .758 | 43 | -11 | -10 | -22 | -16 |
Erick Aybar | LAA | 1,203 | .736 | 59 | -21 | -4 | -25 | -19 |
Subscribe to:
Posts (Atom)