
A Fan’s Guide to Baseball Analytics:
Why WAR, WHIP, wOBA, and Other Advanced Sabermetrics Are Essential to
Understanding Modern Baseball

The author:
Anthony Castrovince
The publishing info:
Sports Publishing/Skyhorse
$16.99
240 pages
Released May 12
The links:
At the publisher’s website
At Amazon.com
At BarnesAndNoble.com
At Powells.com
At Indiebound.org
The review in 90 feet or less
The discussion over who most deserved the 2012 American League MVP Award – Angels rookie sensation Mike Trout or Tigers’ Triple Crown winner Miguel Cabrera – appeared to depend far less on how voters quantified a player’s value and more on how they valued certain statistics.
Eventually, an important WAR broke out over the weight of some very basic sabermetrics. Baseball’s older, old and not so old grabbed a handrail and payed attention to this shifting ground.
After the fact, ESPN did a whole issue about analytics and how it pertained to this decision, in its February, 2013 issue. But long before that, when editors of The Daily News thought it would be worthwhile to have me and writer J.P. Hoornstra publicly hash things out on the front page of the Sept. 24, 2012 edition – the season wasn’t even over yet – it was couched as a classic “new-vs.-old school mentality.” There was the weighted scales of how was also about whether this 21-year-old on a team that would be missing the playoffs deserved taking this honor from a veteran player, whose team was bound for the playoffs, and was accomplishing a feat that hadn’t been done in decades.
There was no regional bias in that we were all enamored with Trout. Not just his “traditional” average/power numbers, but also his nearly 50 stolen bases, and his phenomenal defense. He was “Magic Mike.”
Since I was taking the “old school” argument, it was mostly based on “this is how we’ve done it in the past.” What pushed me for Cabrera was accomplishing the league lead in average, homers and RBIs, plus the fact the team was going to the post-season. And he was finishing strong.
The pivot to this whole discussion was Wins Above Replacement. Trout led the league, above 10. Cabrera wasn’t so bad, either.
My final argument: “I’m most impressed with the fact Trout has saved 25 runs with his defense (again, a stat I’m not sure how it’s devised) and he’s only been caught stealing four times. Zack Greinke and Felix Hernandez already have turned the tide on how Sabermetrics can determine a Cy Young Award, and this may take it to the next step. It’s just a shame if Cabrera pulls this rarity and doesn’t win. It’s something that happened to four Triple Crown winners in the past, but that didn’t make it necessarily right (see: Williams, Ted; hated by reporters). Trout and Cabrera both have great stories.”
I asked for a tie (see: 1979 NL MVP). When the votes came in, Cabrera (.330, 44 HRs, 139 RBIs from the No. 3 spot, plus a .606 slugging percentage and 6.9 WAR for the AL champion Tigers) won far too easily over Trout (.326, 30 HRs, 83 RBIs from the leadoff spot, a league-best 129 runs and 49 steals and a MLB best 10.7 WAR). Easily. It shouldn’t have been that way, but it was. Old school won. Perhaps, for the last time.

So now, on pages 189-200 in Anthony Castrovince’s old school/new school updated guidebook on baseball analytics that focuses especially Wins Above Replacement, he can take that 2012 example and, with hindsight, better summarize:
You can protest WAR, and many have. Complex thinkers have derided it as too simple, and simple thinkers have derided it as too complex. … To be very clear: WAR has flaws. But if nothing else it’s a quick and dirty starting point.
In this book, it’s actually the end point – the final chapter in the fifth and last section of a book, and probably the best place to put it, because of how it ties together and captures the intricacies of all the stats discussed before it.
But getting to this point, you have to start with now-obvious flaws of the “old stats” – batting average, RBIs, errors, pitching victories and saves, covered in Section 1. Then after those 38 pages comes the parade of newer, sometimes esoteric, occasionally hair-splitting calculations that have grown from the Bill James movement.
That would be, in order presented here for purposeful reasons: OBP, SLG, OPS, RC, ISO, wOBA, wRC+, BsR, ERA+, WHIP, GSs, FIP, DRS, UZR, Diff, SRS, DER, WP, MN, BABIP, xBA, xSLG, xwOBA and WPA.
(Just then, we had a flash back there of our junior year in high school, having finished advanced algebra, geometry and trig, we were asked if we would be continuing on with the group into the calculus phase of this mathematical maze. Initially — both rhetorically and literally — we were scared at what we saw on the horizon. Suddenly, the 26 letters of the alphabet looked far easier to master into sentences and paragraphs over in the English department than trying to wrestle with these these calculations that only added up to doom for whatever jobs we might enjoy going forward. For what it was worth, we scored far higher on the math portion of the SAT than we did the English side of it, so math got us a better seat in the college admissions offices). Continue reading “Extra inning baseball book reviews for 2020: No need to start a nerdy WAR over MLB’s new metrics system … try some cool WHIP”







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That 2009 season would be Halladay’s 13th and final one in Toronto, a franchise dumping salary and going no where. In his age 32 season, he would be nearing 150 career wins and continue to annually lead the AL in complete games, innings pitched and expending energy on a team that couldn’t make the playoffs.
In the 2009 offseason, Halladay ended up getting traded to Philadelphia, for Travis d’Arnaud, Kyle Drabek and Michael Taylor. The Phillies had playoff momentum and wanted to keep it as some key players were leaving.


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