Jul 30, 2022
In Self Help Forum
Wang Jianmin's height. Intriguingly, the rest of the data seems to be quite polarized in his opinion. First of all, let's look at the advanced data of FIP and xFIP. Wang's FIP from 2005 to 2008 was better than the league average by 3%, 13%, 14%, and 13% respectively, while xFIP was only better than the average by 3%. , 7%, 7%, 4%. arrow_forward_iosunderstand more Powered by GliaStudio Although we can at least confirm that he is a good pitcher with above-average efficiency, even during the best performance of 2006-07, the FIP and xFIP corrected by the stadium and the league were still 20 and 31 in the league respectively. Performed better than Wang. If you carefully consider the above-mentioned advanced data algorithm, you can see that this result is not surprising. FIP only considers the three data of the telemarketing list pitcher's strikeouts, walks, and home runs; xFIP only considers strikeouts, walks, and grounding. For those who are familiar with the concept of advanced data, the logic of this formula is not difficult to understand: only calculating the data that the pitcher can control the most is the most objective way to evaluate the pitcher's strength. AP_060517040857 Photo Credit: AP / Dazhi Image According to the research done by foreign data writer Bill Petti in 2013 , he found that the year-to-year correlation coefficients of ground-ball rate, roll-to-fly ratio, and fly-ball rate all exceeded 0.77; strikeout rate and walk rate were also different. There are levels above 0.54. Therefore, the year-to-year correlation coefficients of FIP and xFIP are all over 0.4, which is a far cry from the defense rate of 0.174; even the advanced data for "predicting defense rate for the next year" is better than defense rate itself. Much better . That's because strikeouts, walks, home runs (or grounders) are clearly the stats that a pitcher can control most and directly reflect his strength. But the factors involved in ERA include more aspects that are beyond the control of the pitcher, such as teammates' fielding or dribbling. And this is why Wang Jianmin is not liked by advanced data analysis.