What does sfa stand for in baseball

What does S stand for in baseball? What position is C in baseball? What does sitting on a pitch mean? What does SFA mean in baseball? What does P mean in baseball? What does H mean in baseball pitching? It consists of a mathematical formula that assesses the aesthetic value of watching a pitcher pNERD or a team tNERD play based on various performance statistics.

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The practice of keeping records of the achievements of the players was started in the 19th century by Henry Chadwick.

Chadwick devised the predecessors to modern day statistics such as batting average , runs scored, and runs allowed based on his experience of cricket. Traditionally, statistics like batting average for batters the number of hits divided by the number of at bats and earned run average approximately the number of runs given up by a pitcher per nine innings have governed the statistical world of baseball.

However, the recent advent of sabermetrics has brought about an onslaught of new statistics. These statistics are designed to be a better gauge of player's performance and contributions to his team from year to year. Comprehensive, historical baseball statistics were difficult for the average fan to access until , when researcher Hy Turkin published "The Complete Encyclopedia of Baseball". In , MacMillan Publishing printed its first Baseball Encyclopedia , using a computer to compile stats for the first time.

Interestingly, this work led to the discovery of several players who didn't belong in official record books. Several of these "phantom ballplayers", like Lou Proctor , were expelled from the record books. General managers and baseball scouts study player statistics in order to make decisions on the abilities of players.

Managers, catchers and pitchers study statistics of batters on opposing teams to figure out how best to pitch to them and position the players on the field. Managers and batters study opposing pitchers to figure out how best to hit against them.

Managers often base their personnel decisions during the game on statistics, such as choosing who to put in the lineup, or which relief pitcher to bring in. Throughout much of modern baseball, several core statistics have been traditionally used. One hundred decisions required for Win-Loss Percentage. These are the hits, walks and hit batsmen allowed per nine innings. This category shows a player's batting average in bases loaded situation.

Any runner s on base when a pitcher leaves a game are considered bequeathed to the departing hurler; the opposite of inherited runners see below.

This is charged any time a pitcher comes into a game where a save situation is in place and he loses the lead. The Earned Run Average of a club's pitchers with a particular catcher behind the plate. To figure this for a catcher, multiply the Earned Runs Allowed by the pitchers while he was catching times nine and divide that by his number of Innings Caught.

First determine the starting pitcher's Game Score as follows: Start with Add 1 point for each out recorded by the starting pitcher. Add 2 points for each inning the pitcher completes after the fourth inning. Add 1 point for each strikeout. Subtract 2 points for each hit allowed. Subtract 4 points for each earned run allowed. Subtract 2 points for an unearned run. Subtract 1 point for each walk. If the starting pitcher scores over 50 and loses, it's a Tough Loss.

If he wins with a game score under 50, it's a Cheap Win. The Slugging Percentage of a player when batting fourth in the batting order. This category shows a player's batting average in the late innings of close games: the seventh inning or later with the batting team ahead by one, tied, or has the tying run on base, at bat or on deck.

A composite statistic incorporating various defensive statistics to arrive at a number akin to batting average. The formula uses standard deviations to establish a spread from best to worst. Putouts plus Assists divided by Putouts plus Assists plus Errors. This statistic tells you the batting average allowed by a relief pitcher to the first batter he faces.

A GDP situation exists any time there is a man on first with less than two outs. This statistic measures how often a player grounds into a double play in that situation.