HoopSignal
NBA predictions powered by AI and 5,000+ real games analyzed
What it does
HoopSignal analyzes 5,000+ NBA games, real-time injury reports, and odds from multiple bookmakers to find value bets with a mathematical edge.
Does the same job
all alternatives →- HAHooper – AI-driven stats and highlights for basketball play2024 · hooper.gg · ▲124
Hey everyone, OP here. Wanted to share a bit more about Hooper — I started building it with a good friend of mine six months ago. We play a lot of pickup together and were arguing about who has a better jump shot and ended up hacking together an app to settle it The way Hooper works is you can record yourself using the app and ideally a tripod (optional). The app will track everyone, whether its a solo practice, a 3v3, or a 5v5. We think there’s a lot of stuff out there for basketball drills but what we really wanted Hooper to be for is actual game play. That means, it can do things like…
- IMI made a machine learning model to predict 66.45% of NBA games2025 · github.com · ▲17
Introducing DeepShot: An NBA Game Prediction Model Hey devs, sports fans, and data nerds! After weeks of work, I'm excited to share DeepShot – an advanced NBA game predictor powered by historical data from Basketball Reference, machine learning, and a clean NiceGUI-powered web interface. What it does: DeepShot uses team-level rolling averages (including Exponentially Weighted Moving Averages) and an Elo rating system to accurately predict NBA game outcomes. All predictions are visualized in real time through a sleek, responsive UI. Key Features: Data-Driven Predictions using past performance…
- NJNBA.js – Interface with current and historical stats, scores, and data2016 · github.com · ▲14
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