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@nicidob nicidob commented Oct 16, 2020

This is based on analyzing your real player rosters. The analysis script is here.

Sadly the real test.. "does PER or WS/48 or BPM match correctly" hasn't been performed. I've just been eye-balling the clipping bounds. But things I think are right

  • Rookie base stats (based on an average)
  • Big/Wing/Big scaling (clustering of players)
  • The correct averages for all stats categories (based on player aging data)
  • Grouped development (based on feature clustering)

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