Show HN: DeepShot – NBA game predictor with 70% accuracy using ML and stats https://ift.tt/fI63AzM

Show HN: DeepShot – NBA game predictor with 70% accuracy using ML and stats I built DeepShot, a machine learning model that predicts NBA games using rolling statistics, historical performance, and recent momentum — all visualized in a clean, interactive web app. Unlike simple averages or betting odds, DeepShot uses Exponentially Weighted Moving Averages (EWMA) to capture recent form and momentum, highlighting the key statistical differences between teams so you can see why the model favors one side. It’s powered by Python, XGBoost, Pandas, Scikit-learn, and NiceGUI, runs locally on any OS, and relies only on free, public data from Basketball Reference. If you’re into sports analytics, machine learning, or just curious whether an algorithm can outsmart Vegas, check it out and let me know what you think: https://ift.tt/S5Kgdio https://ift.tt/S5Kgdio November 9, 2025 at 03:19AM