I used the Baseball Reference Play Index to find all the players who had 1,250+ PAs in both wins and losses from 2009-2018. There were 229 players.
The biggest differential (.402) belonged to Josh Donaldson who had a 1.051 OPS in wins and a .649 OPS in losses. The smallest belonged (.090) to Alejandro De Aza who had a .774 OPS in wins and a .684 OPS in losses.
The correlation between OPS in wins and losses was .72.
Click here to see the data in Excel.
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2 comments:
I downloaded that data- thanks!
I'm not surprised that there should be a strong correlation between hitting and winning/losing since there are relatively few hits, maybe 9 or 10 during the average game, and relatively few runs scored- the average is somewhere between 4 and 5 per team.
I suspect that there should be a similar correlation for running backs and wide receivers in the NFL- they undoubtedly gain significantly more yards in winning games than losing games.
In basketball, with scores close to 100 points per team per game, probably the positive correlation of points scored in winning/losing is much smaller than for baseball batting or football yards gained.
Great comments. Thanks for reading
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