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Broken up into sections (pitching, fielding,
hitting), this authoritative yet fun and easy guide will help readers
young and old fully understand and comprehend the statistics that are
the present and future of our national pastime.  We all know
what a .300 hitter looks like. The same with a 20-game winner. Those
numbers are ingrained in our brains. But do they mean as much as we
think? Do we feel the same way when we hear a batter has a .390 wOBA?
How about a pitcher with a 1.2 WHIP? These statistics are the future of
modern baseball, and no fan should be in the dark about how these
metrics apply to the game.In the last twenty years, an avalanche of
analytics has taken over the way the game is played, managed, and
assessed, but the statistics that drive the sport (metrics like wRC+,
FIP, and WAR, just to name a few) read like alphabet soup to a large
number of fans who still think batting average, RBIs, and wins are the
best barometers for baseball players.In A Fan&;s Guide to Baseball
Analytics, MLB.com reporter and columnist Anthony Castrovince has taken
on the role as explainer to help such fans understand why the old stats
don&;t always add up. Readers will also learn where these modern
stats came from, what they convey, and how to use them to evaluate
players of the present, past, and future. For instance, what if
we told you that when Joe DiMaggio had his famous 56-game hitting
streak in 1941, helping him win the AL MVP, that there was, perhaps,
someone more deserving? In fact, the great Ted Williams actually had a
higher fWAR, bWAR, wRC+, OPS, OPS+, ISO, RC . . . well, you get the
picture. So, streak or no streak, Williams should have been league
MVP.An introductory course on sabermetrics, A Fan&;s Guide to
Baseball Analytics is an easily digestible resource that readers can
keep turning back to when they see a modern metric referenced in
today&;s baseball coverage.
Anthony Castrovince may refer to:
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