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GitHub - saccofrancesco/deepshot: Deepshot is a machine learning model designed to predict NBA game outcomes using advanced team statistics and rolling averages. It combines historical performance trends with contextual game data to deliver highly accurate win predictions (71%)

github.com · first added by @hnl · 2026-02-27 · 1 upvotes

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─── In 1 list ──────────────────────────────────────────

* Issue #770 by @hnl [fun]

─── Discussions ────────────────────────────────────────

* Show HN: I made a machine learning model to predict 66.45% of NBA games

17 pts · 14 comments · node

see all 9

* Show HN: DeepShot – NBA game predictor with 70% accuracy using ML and stats

3 pts · 5 comments · node

* Show HN: DeepShot – NBA game predictor with 70% accuracy using ML and stats

3 pts · 3 comments · node

* Show HN: DeepShot – NBA game predictor with 70% accuracy using ML and stats

3 pts · 1 comment · node

* Show HN: I made a machine learning model to predict 66.45% of NBA games

2 pts · 4 comments · node

* Show HN: I made a machine learning model to predict 66.45% of NBA games

2 pts · 2 comments · node

* Show HN: DeepShot – an open-source NBA predictor with ML, EWMA, and live UI

1 pt · 2 comments · node

* Show HN: DeepShot – an open-source NBA predictor with ML, EWMA, and live UI

1 pt · 1 comment · node

* Show HN: DeepShot – NBA game predictor with 71% accuracy using ML and stats

1 pt · 1 comment · node

─── From the discussion ────────────────────────────────

* GitHub - luke-lite/NBA-Prediction-Modeling: Using machine learning to predict the outcome of NBA games.

github.com · node

* https://ieeexplore.ieee.org/document/8344688

ieeexplore.ieee.org · node

* Moneyball: The Art of Winning an Unfair Game - Wikipedia

en.wikipedia.org · node

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