[bangaladore]

Excuse my lack of knowledge here.

To what extent is 65% impressive? Naively, I imagine someone very familiar with teams and players could probably achieve similar results. I say this because I assume its obvious that Team A is better than Team B to some extent. Team A might still lose to Team B for whatever reason, but that's why its only 65%. And Team C vs Team D might be a tossup.

[francio445]

66.45% is inside the edge of 66% to 72% range typical for almost any model. This is given by the fact that the most favored teams lose between 28% to 34% of the game they are supposed to win. So yeah the model predict the most favored team and sometimes was able to predict some winners that the odds weren't able to find but it's a pretty average accuracy ;) Considering the fact that 100% - 28% = 72% and 100% - 34% = 66% the model is inside that edge of predicting the obvious winner but, 1/3 of the times games' outcomes are very "random" / "unpredictable". Also, professional people who bet knowing and watching almost every game, play, knowing almost every news, trade, injury and external factors are accurate around 68% of the time. For me it's pretty amazing that a model knowing nothin could do this well sometimes and it was very fun creating and working on this for around 3 weeks ;)

[3vidence]

Don't want to be mean to OP but it is a completely useless stat by someone who doesn't know what they are doing.

That isn't said out spite or think OP is trying to be deceptive, it just shows a lack of understanding of the task at hand.

OKC is going to win around 70 of 82 games this year.

If I just naively say OKC will win every game I'm going to be 85% accurate no models required.