May 30, 2026

30 thoughts on “Yankees (34-22) @ Athletics (27-29), Friday, May 29, 2026, 9:40 PM EDT

    1. huh, I see he hit in the 20s regularly in Colorado. It’s the park effect but still

  1. Yay win!

    Re: the “record against .500+ teams” thing that came up again on this game thread, I agree with what one person here was saying back when it came up a few weeks ago – was it Pete? – that is, it isn’t an altogether meaningless stat, but the arbitrary cutoff of .500 causes a lot of confusion as teams gain and lose that status early in the season.

    I think it might be better to examine record against the entire league, more heavily weighting performance against stronger opponents, akin to how “strength of schedule” might be computed. The goal would be to get a single number, a sort of plus-minus or weighted winning percentage. I haven’t read widely enough to see if someone has proposed this, but to start, I’d suggest computing a weighted won-lost record, wherein each win is weighted by the opponent’s winning percentage (against all third-party teams, not against one’s own team), and each loss is weighted by the opponent’s losing percentage (ie, 1 minus the winning percentage against third-party teams). Compare the weighted wins and the weighted losses, and you might get a plus-minus of sorts, which might tell you how many games ahead of expectation you are based solely on the strength of schedule. A slightly different operation would be to take a dot product of two vectors : one vector being [wins against each respective opponent] and the other vector being [each respective opponent’s winning percentage against third-party teams] – and then to divide by the number of games played.

    Neither of these approaches would be super robust early in a season, but I suspect it might be less prone to fluctuation.

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