A big milestone for this project is expanding to new sports and not just producing NFL content and picks. So far, that has been accomplished by adding content writers who are passionate about sports like the PGA, ATP, and NBA. However, today is our biggest step yet toward achieving our long-term goal of becoming a year-round resource for data-driven insights and predictions. We are thrilled to announce that we are taking it one step further and expanding our product offering of predictive models to a new league, the NBA.
We have a team of rockstar interns at Orb Analytics who have spent the last few months putting together a training dataset for the NBA. This means we are at the fun part where we can fit models to the data and make predictions. We have tested internally for the last several weeks, but with the NFL season ending next weekend we have decided to switch from internal testing to a live beta test of our NBA models on the page.
This of course comes with heavy disclaimers. Through trial and error over the last few years, I have learned a lot about the nuances of NFL modeling. You can see the lessons learned by comparing my first few models to the current ones through upgraded model types, strategies, and better feature decisions and engineering. While some of these lessons are more general and will immediately transfer to NBA modeling, there are unique intricacies to every sport that are reflected in the data and outcome of games. While accuracy is the ultimate goal of any betting model, we have a ways to go before that is our sole focus for the NBA algorithms. I know it sounds counterintuitive but we have lessons to learn about our internal process like what days of the week to post picks, model confidence thresholds, and when to refine our modeling strategy in real-time which will all be embedded with improving accuracy.
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We will use the rest of this NBA season to learn as many lessons as we can, and then use the offseason to backtest focusing 100% on model accuracy for next year. We could continue to test internally, but there is nothing quite like public live testing to throw these models (and our team) in the deep end to see if they can swim. So we appreciate your understanding that these NBA model picks are part of a beta test and a crucial source of information for us to refine them in the future to hopefully one day pick above 52.4% against the spread.
Unlike our NFL newsletters, the NBA picks won’t feature writing about the league. If you are looking for more general NBA coverage, check out our NBA podcast ‘Dishing and Swishing’ on the NBA tab. Instead, these posts will feature some combination of pick results, overall model performance, and the modeling lessons learned diving into a new sport. Our first set of public test picks will be posted sometime after the Super Bowl with some initial strategies and early insights learned from our internal testing.
- Team Orb Analytics
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