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92 sats \ 10 replies \ @ken 10 Sep \ on: Degenerate Corner 860789 Stacker_Sports
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Are you familiar with the Elo model 538 used to use? The way they handled that is by moving each team partway back towards the mean from where they ended the previous season.
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I know they added a bunch of bells and whistles to it over the years, but I liked the simplicity of the initial model. The problem with simplicity is that it performs really poorly around major personnel changes.
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What are your inputs for the model?
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Most of the inputs come from Pro Football Reference. I basically use a bunch of general performance indicators (win/loss ratio, total points scored, etc) along with offensive/defensive performance data (passing, rushing, penalities, etc) and do a binary classification.
I trained the model using statistics from every game since 2004.
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Neat. I've been wanting to do something similar to this for basketball (and eventually baseball, hockey, soccer, etc.).
Was the data fairly accessible?
I didn't get very far in looking into it, but it seemed like the gamelogs were behind a paywall.
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I've built a similar model for NCAA basketball, and it looks like professional basketball data is available:
The basic data can be scraped from the tables for free. Deeper information might be behind a paywall, but I think you could create a basic model from the data that is freely available.
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Thanks. I only actually need the game logs and I'll eventually want to integrate college and international into the model.
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