I think resetting the model every season was perhaps a mistake. It makes it too sensitive to periods of unusual results. Now that I have data from several seasons, it's more feasible to experiment with using the last few seasons for prediction.
But I still think using too many past seasons should be avoided. My feeling is that the game changes pretty quickly, so the factors which will predict results will also change pretty quickly.
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