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A Guide on Using the Model
I wanted to write an article on the general basics of using the model to place bets. As mentioned a few times, the model will output unit sizes for each bet. Given everyone’s bank roll is different and it is easy to mess up the math doing it manually when there are 10+ bets, I…
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Week 3 Results
Another week done, and as promised, the model continues to get better and better. The Bills cost it a massive green week; if Josh Allen didn’t have heat exhaustion, the model would have been very positive this week. Regardless, The model had some definite improvement as it continues to get more picks correct, and the…
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Week 3 Predictions
Disclaimer: This is an exciting week, as this is the first week that I will personally be placing bets. To stay on the safer side, I continue to urge readers to wait till Week 4 (or 5 to be safer) but based on previous season data, Week 3 has the potential to be profitable depending…
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Week 2 Results
Wow, another crazy week of results! 4 huge collapses in the last few minutes of each game, all of which the model was on the wrong side of, again!! Unfortunately my prediction of break even did not quite happen, although the overall ROI did go up slightly compared to version 1, and there was definitive…
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Week 2 Predictions
The model got off to a rough start after some unlucky overtime outcomes, but as mentioned this was very much expected. The week 2 results should improve into close to break-even territory based on results from previous years. Here are the model predictions for Week 2: 1.29 Units: Baltimore Ravens ML (-180) 1.14 Units: NY…
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Sports Models Built with Machine Learning 