Passionately undeveloped opinions on the state of baseball, the shifting landscape of stats and analysis, and the opiate power of El Pato tomato sauce
Keeping tabs on Interleague
Update: I think Ducky is not as enthused about this as I am, and he brings up good points. I’ve always seen pythagorean expectation used for a single team over the course of a season and assumed it would apply for a league as well. That may not be the case. So while I do some digging take all this with a grain of salt. Which you should anyway since 6 games doesn’t not a meaningful sample size make. The run differential trend should be fun regardless though. -High Pockets
Update 2: Also, this expectation equation I’ve used has a factor of 2 involved. Apparently research since the original equation came about has found that a factor of 1.83 is more accurate. It will be used from now on (if pythagorean expectation is continued).
Since Interleague play is constant this year as a result of the Astros moving to the AL, we can follow how each league is doing all year long instead of waiting until June. I’ll be posting a few graphs after every week to get an idea of what’s going on. The first will be run differential, then a graph of AL Wins vs. Expected wins (computed based of simple pythagorean expectation), and finally a graph of NL Wins vs. Expected Wins (the inverse of the AL graph).
So there you have it. After one week the AL is clearly superior to the NL /incorrect assertion/. See you all next week!