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Predicting the season, game by game

One thing I’m interested in doing is predicting the season using an expected values method (i.e. assigning a percentage chance for each game, and adding the values together to get expected wins) and dynamically reassessing every week based on, uh, the stuff that happens each week.

Here’s my preseason, baseline prediction.

SJSU: 99%

Duke: 95%

SC: 35%

@UW: 65%

UA: 90%

ND: 55%

@California: 65%

WSU: 75%

@CU: 80%

OSU: 75%

@UO: 25%

@UCLA: 70%
That’s a preseason guess of 8.29 wins. We’ll see how things change.

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