Braun has driven in 20.91% of possible runners this season, 7th of 209 batters who have come to the plate with at least 100 runners on base. Bryant is at 12.88%, 140th in the same sample. Bryant came up in 2015. In that time frame 110 batters have come to the plate with at least 1,000 runners on base. Bryant has driven in 14.31% of runners, 82nd in the sample. Despite being a much worse hitter, Braun is at 17.42%, 8th in the same sample. It isn't all random. Over large samples different players display different skill at driving runners in. So far Bryant's ability to convert base runners to runs scored hasn't lived up to his context neutral marks. Again, I'm not trying to say Braun is better than Bryant. Just that making determinations based solely on context neutral data leaves out quite a bit of information in a context dependent game. If you aren't buying on the Mariners does that mean you similarly aren't buying on the Brewers as a good team because of their insane record in one run games? Large samples are not what you are discussing here, you are discussing insanely small samples. I think teams somewhat control their win loss rates in 1 run games based mostly on how good their bullpen is. But going 21-9 involves some luck too. WPA is a stat that needs like 2 or 3 seasons of data to be meaningful, not 1/3 of a season.