These are only three of the intriguing questions Michael Schell addresses in Baseball's All-Time Best Sluggers, a lively examination of the game of baseball using the most sophisticated statistical tools available. The book provides an in-depth evaluation of every major offensive event in baseball history, and identifies the players with the 100 best seasons and most productive careers. For the first time ever, ballpark effects across baseball history are presented for doubles, triples, right- and left-handed home-run hitting, and strikeouts. The book culminates with a ranking of the game's best all-around batters.
Using a brisk conversational style, Schell brings to the plate the two most important credentials essential to producing a book of this kind: an encyclopedic knowledge of baseball and a professional background in statistics. Building on the traditions of renowned baseball historians Pete Palmer and Bill James, he has analyzed the most important factors impacting the sport, including the relative difficulty of hitting in different ballparks, the length of hitters' careers, the talent pool from which players are drawn, player aging, and changes in the game that have raised or lowered major-league batting averages.
Schell's book finally levels the playing field, giving new credit to hitters who played in adverse conditions, and downgrading others who faced fewer obstacles. It also provides rankings based on players' positions. For example, Derek Jeter ranks 295th out of 1,140 on the best batters list, but jumps to 103rd in the position-adjusted list, reflecting his offensive prowess among shortstops.
Replete with dozens of never-before reported stories and statistics, Baseball's All-Time Best Sluggers will forever shape the way baseball fans view the greatest heroes of America's national pastime.
Answers: 1. Coors Field 2. Mel Ott 3. Barry Bonds, 2001-2004 seasons
It’s the ultimate in fantasy baseball: You get to pick the roster, set the lineup, and decide on strategies -- with real players, in a real ballpark, in a real playoff race. That’s what baseball analysts Ben Lindbergh and Sam Miller got to do when an independent minor-league team in California, the Sonoma Stompers, offered them the chance to run its baseball operations according to the most advanced statistics. Their story in The Only Rule is it Has to Work is unlike any other baseball tale you've ever read.
We tag along as Lindbergh and Miller apply their number-crunching insights to all aspects of assembling and running a team, following one cardinal rule for judging each innovation they try: it has to work. We meet colorful figures like general manager Theo Fightmaster and boundary-breakers like the first openly gay player in professional baseball. Even José Canseco makes a cameo appearance.
Will their knowledge of numbers help Lindbergh and Miller bring the Stompers a championship, or will they fall on their faces? Will the team have a competitive advantage or is the sport’s folk wisdom true after all? Will the players attract the attention of big-league scouts, or are they on a fast track to oblivion?
It’s a wild ride, by turns provocative and absurd, as Lindbergh and Miller tell a story that will speak to numbers geeks and traditionalists alike. And they prove that you don’t need a bat or a glove to make a genuine contribution to the game.
After twenty consecutive losing seasons for the Pittsburgh Pirates, team morale was low, the club's payroll ranked near the bottom of the sport, game attendance was down, and the city was becoming increasingly disenchanted with its team. Pittsburghers joked their town was the city of champions...and the Pirates. Big Data Baseball is the story of how the 2013 Pirates, mired in the longest losing streak in North American pro sports history, adopted drastic big-data strategies to end the drought, make the playoffs, and turn around the franchise's fortunes.
Award-winning journalist Travis Sawchik takes you behind the scenes to expertly weave together the stories of the key figures who changed the way the small-market Pirates played the game. For manager Clint Hurdle and the front office staff to save their jobs, they could not rely on a free agent spending spree, instead they had to improve the sum of their parts and find hidden value. They had to change. From Hurdle shedding his old-school ways to work closely with Neal Huntington, the forward-thinking data-driven GM and his team of talented analysts; to pitchers like A. J. Burnett and Gerrit Cole changing what and where they threw; to Russell Martin, the undervalued catcher whose expert use of the nearly-invisible skill of pitch framing helped the team's pitchers turn more balls into strikes; to Clint Barmes, a solid shortstop and one of the early adopters of the unconventional on-field shift which forced the entire infield to realign into positions they never stood in before. Under Hurdle's leadership, a culture of collaboration and creativity flourished as he successfully blended whiz kid analysts with graybeard coaches—a kind of symbiotic teamwork which was unique to the sport.
Big Data Baseball is Moneyball on steroids. It is an entertaining and enlightening underdog story that uses the 2013 Pirates season as the perfect lens to examine the sport's burgeoning big-data movement. With the help of data-tracking systems like PitchF/X and TrackMan, the Pirates collected millions of data points on every pitch and ball in play to create a tome of color-coded reports that revealed groundbreaking insights for how to win more games without spending a dime. In the process, they discovered that most batters struggled to hit two-seam fastballs, that an aggressive defensive shift on the field could turn more batted balls into outs, and that a catcher's most valuable skill was hidden. All these data points which aren't immediately visible to players and spectators, are the bit of magic that led the Pirates to spin straw in to gold, finish the 2013 season in second place, end a twenty-year losing streak.