giocld/sieve
Sieve is a Python project that analyzes NBA player salaries relative to their on-court impact based on archetype classifications. It combines statistical performance metrics (LEBRON and WAR metrics) with contract data scraped from Basketball Reference to identify value gaps players who may be overpaid or underpaid compared to their impact.
Stars
—
Forks
—
Language
Python
License
—
Category
Last pushed
Mar 15, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/giocld/sieve"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
georgedouzas/sports-betting
Collection of sports betting AI tools.
roclark/sportsipy
A free sports API written for python
saccofrancesco/deepshot
AI model predicting NBA game outcomes using advanced stats and trends
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....