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The win probability for a specific situation in baseball (including the inning, number of outs, men on base, and score) is obtained by first finding all the teams that have encountered this situation. Then the winning percentage of these teams in these situations is found. This probability figure is then adjusted for home-field advantage. Thus ...
Baseball statistics include a variety of metrics used to evaluate player and team performance in the sport of baseball. Because the flow of a baseball game has natural breaks to it, and player activity is characteristically distinguishable individually, the sport lends itself to easy record-keeping and compiling statistics .
Neutral-site games have a value of 1.0, but the committee is studying how to determine if a game should be considered a neutral-site contest. The adjustment is based on data showing that home teams win about 62 percent of the time in Division I baseball." [6] The change was made because of the discrepancy in the number of home games teams play ...
Baseball-Reference uses six components to calculate WAR for position players: batting runs (Rbat), baserunning runs (Rbaser), runs added or lost due to grounding into double plays in double play situations (Rdp), fielding runs (Rfield), positional adjustment runs (Rpos), and replacement level runs (Rrep). The first five factors are compared to ...
There are a limited number of possible states, and so baseball win probability tools usually have enough data to make an informed estimate. American football win probability estimates often include whether a team is home or away, the down and distance, score difference, time remaining, and field position. American football has many more ...
The Negro Leagues' schedule usually ran between 60-80 games with another 40-60 games coming in the form of exhibitions. Statistics from what was known as “barnstorming,” or exhibition games ...
In 2006, Penn State lost to Notre Dame 41–17. Notre Dame justified running up the score because Penn State was known for late comebacks. Supporters of preventively running up the score will often point to games such as the 2006 Insight Bowl where Minnesota blew a 38–7 lead in the third quarter, to eventually lose 44–41 to Texas Tech. [6]
James has noted that there are cases in which his original version of game score does not accurately reflect a pitcher's performance. [3]In a September 2003 article in Baseball Prospectus, Dayn Perry created an updated formula based on the ideas behind defense-independent pitching statistics, named Game Score 2.0.