Statistical Thinking in Sports
Jim Albert, Ruud H. Koning
Taylor & Francis, Jul 12, 2007 - Mathematics - 298 pages
Since the first athletic events found a fan base, sports and statistics have always maintained a tight and at times mythical relationship. As a way to relay the telling of a game's drama and attest to the prodigious powers of the heroes involved, those reporting on the games tallied up the numbers that they believe best described the action and best defined the winning edge. However, they may not have always counted the right numbers. Many of our hallowed beliefs about sports statistics have long been fraught with misnomers. Whether it concerns Scottish football or American baseball, the most revered statistics often have little to do with any winning edge.
Covering an international collection of sports, Statistical Thinking in Sports provides an accessible survey of current research in statistics and sports, written by experts from a variety of arenas. Rather than rely on casual observation, they apply the rigorous tools of statistics to re-examine many of those concepts that have gone from belief to fact, based mostly on the repetition of their claims. Leaving assumption behind, these researchers take on a host of tough questions-
Investigating a wide range of international team and individual sports, the book considers the ability to make predictions, define trends, and measure any number of influences. It is full of interesting and useful examples for those teaching introductory statistics. Although the articles are aimed at general readers, the serious researcher in sports statistics will also find the articles of value and highly useful as starting points for further research.
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1st service ability American League analysis athletes attendance average ball baseball batter batting betting market binomial bookmakers clap skate clutch coefficient competitive balance correlation curve difference distribution drafter Equation estimated example factors FIFA World Rankings final set fixed-odds betting function goals scored Goddard Gompertz Gompertz curve hitter hitting rates hockey home advantage home run home team home win I/0 values impact in-play hit Jeter Journal jumping league position linear match results matchups measure men's singles nonseed offensive Olympic ordered probit outcome uncertainty parameters percentage performance pitcher play-off system points won Poisson regression predict probability of promotion probability of winning QB Score quarterback rating random effects random effects model regression model regular season rugby union runners on base runs scored sample second service seeded significant simulation situation effects soccer speed skating statistics strategy strikeout strikeout rates swimming Table team's tennis touchdowns velocity women world records yards