Why First Baskets?

nba
first-basket
methodology
How Slam Dunk Bets started in 2020 modeling NBA first-basket props as betting went legal in Illinois, and why inconsistently priced, less-popular players made the market worth betting.
Author

Slam Dunk Bets

Published

October 2, 2024

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The data made the market modelable

The play-by-play data for NBA games was freely available, and could be parsed effectively using data science tools. This enabled us to develop models using machine learning tools to predict the likelihood of players to score first in a game.

Once we refined our models, we learned that first baskets were relatively predictable. “Relatively” is doing a lot of work in that sentence, of course, but by nerdy machine learning model evaluation metrics, we felt pretty good.

So, why first baskets?

So to answer the question we raised rhetorically, we started out focusing on first basket markets because: the data were available to build models; the models we built were useful at predicting the thing we wanted to predict; our model predictions enabled us to find +EV bets to make.

Want to see how the models actually work? Start with Part 1 of the series, or check the FAQ for the markets we cover and the track record.