saccofrancesco/deepshot
AI model predicting NBA game outcomes using advanced stats and trends
This tool helps NBA fans and sports bettors predict the outcomes of basketball games. It takes historical data and advanced team statistics as input and generates game predictions with visual insights into key team differences. Anyone looking to make informed predictions for upcoming NBA matchups would find this useful.
138 stars.
Use this if you want data-driven predictions for NBA games, leveraging advanced statistics and recent team form.
Not ideal if you're looking for predictions on sports other than NBA basketball or need predictions based on real-time betting odds rather than statistical analysis.
Stars
138
Forks
16
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/saccofrancesco/deepshot"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
georgedouzas/sports-betting
Collection of sports betting AI tools.
roclark/sportsipy
A free sports API written for python
NBA-Betting/NBA_Betting
Using data analytics and machine learning to create a comprehensive and profitable system for...
cmunch1/nba-prediction
A project to deploy an online app that predicts the win probability for each NBA game every day....
KengoA/fantasy-basketball
Scraping statistics, predicting NBA player performance with neural networks and boosting...