Moneyball: The Art of Winning an Unfair Game - Michael Lewis (W.W. Norton & Co., 2003)
In 2002, I lived in Berkeley. And somewhere along the line, I became an A's fan. Probably because they had this unreal winning streak, setting MLB records. I was at 2 or 3 of the games in that streak. And baseball was fun.
I've been wanting to read this book for awhile. I've picked up enough here and there to know that by using statistics in a different way, Billy Beane had upended all the typical rules about what you needed for a successful team. And could do it on the cheap. Coooooooooool.
Somehow, it never occurred to me that the book covered the same season that I remembered so well. But then, suddenly it did. And it wasn't just names like Miguel Tejada, Eric Chavez, and Mark Mulder (yum!) that were popping up. All the people I forgot: Dye, Scott Hatteberg, Chad Bradford of the craaaaaazy pitch, etc etc etc. Oh, and Nick Swisher, who joined the A's after I left for the East Coast. Ah, sigh.
So honestly, the chapter about the game where they went for the MLB record.... that was my favorite part of the book. I was at that game. It was one of the most wild sports experiences I've ever had. It rivals the hockey stuff even. Just.... oh, it was amazing. And I bet it's fun to read about even if you aren't reliving it. :)
The book itself is fascinating too. Lewis explains Beane & DePodesta's strategy essentially like this: what's most important is ability to avoid making outs. Look for players who are good at that - focus on the stats that really matter. Find the ones who are good at that who are undervalued for some reason, and snap them up. Generally these people don't "look" like baseball players, so are discounted. And thus, your 2002 Oakland Athletics.
Of course, the A's haven't been much to look at in awhile, and I'm curious about how one would analyze Beane's tenure now. Lewis is an admirer, or was in 2002-03. I want to hear more about now (perhaps I should actually go look and see what he's written).
And yet, I say Lewis is an admirer, but he may not be entirely sold, and here was his comment to Beane that stood out, even amidst all the (lovely lovely) statistics: "Every player is different. Every player must be viewed as a special case. the sample size is always one" (p. 248).
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