When the model doesn’t match reality, the model’s the issue. Suspect this applies to the analytics era of the NBA. Not everything can be quantified and optimised. And within that “everything” there’s bound to be some critical factors.

When the model doesn’t match reality, the model’s the issue. Suspect this applies to the analytics era of the NBA. Not everything can be quantified and optimised. And within that “everything” there’s bound to be some critical factors.
https://youtube.com/watch?v=3G5kjStPdP0

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