This poses some problems for my computer models, but it works out best if I just ignore the switch and combine the results.
Since recent activity is rated more heavily, the model self-corrects soon enough, even for a mid-season change of position.
If I try to separate front/back performance, I lose statistical significance because the sample sizes are smaller.
