kyleskom/NBA-Machine-Learning-Sports-Betting
NBA sports betting using machine learning
This tool helps NBA sports bettors predict game outcomes by analyzing team statistics and sportsbook odds. It takes historical NBA team data and current betting odds as input, then generates predictions for game winners and whether the total score will be over or under the line. Sports bettors looking to make data-driven decisions on NBA games would find this useful.
1,599 stars.
Use this if you want to use historical team performance and betting market data to inform your NBA sports betting strategy for moneyline and total score wagers.
Not ideal if you are looking for predictions on sports other than NBA basketball, or if you prefer to rely purely on intuition or manual analysis for your betting.
Stars
1,599
Forks
545
Language
Python
License
—
Category
Last pushed
Jan 09, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/kyleskom/NBA-Machine-Learning-Sports-Betting"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Barca0412/Introduction-to-Quantitative-Finance
入门资料整理：1.多因子股票量化框架开源教程 2.学界和业界的经典资料收录 3.AI + 金融的相关工作，包括LLM, Agent, benchmark(evaluation), etc.
TorchTrade/torchtrade
Modular reinforcement learning framework for algorithmic trading
terence-lim/financial-data-science-notebooks
Practical financial data science examples applying statistics, time series analysis, graph...
v0acc0002/deepseek-trading-experiment
🤖 Explore AI-driven trading with the DeepSeek crypto bot, designed for learning rather than...
QuantifiSogang/2025AdvancedPythonForFinance
2025년 금융을 위한 고급 파이썬 프로그래밍