at each position. Pitchers Baseball-Reference Baseball-Reference uses two components to calculate WAR for pitchers: runs allowed (both earned and unearned) and innings pitched. These statistics are then used in a number of further calculations to better contextualize the numbers. FanGraphs 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. Analysis In 2009, Dave Cameron stated that fWAR does an "impressive job of projecting wins and losses". He found that a team's projected record based on fWAR and that team's actual record has a strong correlation (correlation coefficient of 0.83), and that every team was within two standard deviations (σ=6.4 wins). In 2012, Glenn DuPaul conducted a regression analysis comparing the cumulative rWAR of five randomly selected teams per season (from 1996 to 2011) against those teams' realized win totals for those seasons. He found that the two were highly correlated, with a correlation coefficient of 0.91, and that 83% of the variance in wins was explained by fWAR (R2=0.83). The standard deviation was 2.91 wins. The regression equation was: which was close to the expected equation: in which a team of replacement-level players is expected to have a .320 winning percentage, or 52 wins in a 162-game season. To test fWAR as a predictive tool, DuPaul executed a regression between a team's cumulative player WAR from the previous year to the team's realized wins for that year. The resultant regression equation was: which has a statistically significant correlation of 0.59, meaning that 35% (the square of 0.59) of the variance in team wins could be accounted for by the cumulative fWAR of its players from the previous season. Usage WAR is recognized as an official stat by Major League Baseball and by the Elias Sports Bureau, and ESPN publishes the Baseball-Reference version of WAR on its own statistics pages for position players and pitchers. The importance of WAR compared to typical statistical categories has been the subject of ongoing debate. For example, nearing the end of the 2012 Major League Baseball season and afterward, there was much debate about which player should win the Major League Baseball Most Valuable Player Award for the American League. The two candidates considered by most writers were Miguel Cabrera, who won the Triple Crown, and Mike Trout, who led Major League Baseball