Sure, granted data gets more sparse the further back you get into time. Advanced statistics in the sports realm as only really gotten popular in the last twenty years. But given large amounts of time to waste on this problem it would be interesting to run these models on prior data and against prior events to see how effective they are over time. College basketball has been tending recently to being more random given the higher percentage of three point shots being taken nowadays versus twenty years ago. It would be interesting to see if this increased randomness makes games harder to predict nowadays versus in earlier periods.