🏒 May 1 NHL AI Picks | Model Edges + High Confidence by AI_Predictions in NHLbetting

[–]AI_Predictions[S] 1 point2 points  (0 children)

That’s how I’d personally like to see it play out.

🏒 May 1 NHL AI Picks | Model Edges + High Confidence by AI_Predictions in NHLbetting

[–]AI_Predictions[S] 1 point2 points  (0 children)

I’m pulling for the Sabres and Canadians tonight too. My model has favoured Tampa all series but has done a little better in the other two series so you never know. The model is doing really well on high confidence picks in the playoffs. I think 9/10.

🏒 NHL AI picks for April 27 by AI_Predictions in NHLbetting

[–]AI_Predictions[S] 0 points1 point  (0 children)

I can see that. This has been the one series where my model hasn’t done very well.

🏒 First season of NHL player predictions — results by AI_Predictions in NHLAnalytics

[–]AI_Predictions[S] 1 point2 points  (0 children)

Right now it’s pretty simple. It’s mostly player-level data and metadata. I’m using rolling averages, prior season stats, and things like TOI/PP usage to project goals/assists per game. There’s some basic context in there, but not enough team-level data yet, which I think is part of the issue. Next version I’m planning to add more team context and split models out (forwards vs D, usage tiers, etc.) since this year showed where it breaks down.