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In baseball, fielding independent pitching (FIP) (also referred to as defense independent pitching (DIP)) is intended to measure a pitcher's effectiveness based only on statistics that do not involve fielders (except the catcher).
In baseball statistics, fielding independent pitching (FIP) is the measure of a pitcher's effectiveness based only on statistics that do not involve fielders (except the catcher). These include home runs allowed, strikeouts , hit batters , walks , and, more recently, fly ball percentage, ground ball percentage, and (to a much lesser extent ...
Rather than focus on actual runs allowed, Fangraphs uses fielding independent pitching (FIP) as their main component to calculate WAR as they feel it better reflects the contributions of the pitcher. [20] As of 2017, the calculation of pitching fWAR is summarized as [20] [21]
FIP – Fielding independent pitching: a metric, scaled to resemble an ERA, that focuses on events within the pitcher's control – home runs, walks, and strikeouts – but also uses in its denominator the number of outs the team gets (see IP), which is not entirely within the pitcher's control.
The formula uses a player's standard deviations from the mean (a weighted z-score [9]) of the DIPS statistic xFIP (expected Fielding Independent Pitching), swinging strike percentage, overall strike percentage, and the differential between the pitcher's ERA and xFIP to determine a quantitative value for each pitcher. [1] [10]
Though there are several definitions of fielder's choice, the most common (and the only one commonly referred to as FC) involves a fielder fielding a fair ball and choosing to try to put out another baserunner, thereby allowing the batter-runner to safely reach first base. This could be because the defensive player believes they do not have a ...
The table below shows a comparison between the top 10 shortstops in terms of fielding percentage and the top 10 shortstops in terms of defensive runs saved from 2002 to 2019 in MLB. The table shows that only two players appear on both lists (Simmons and Hardy), exemplifying that there is a difference in what the two statistics measure.
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.