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Products that do what HoopSignal does

NBA predictions powered by AI and 5,000+ real games analyzed

  1. 1
    Hoop888

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  2. 2HA

    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…

    2024 · hooper.gg

  3. 3
    Hooper173

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  4. 4IM

    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…

    2025 · github.com

  5. 5

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  7. 7

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  8. 8
    BALLERZ86

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  9. 9AM
  10. 10

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  11. 11

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    Hey everyone, I’m an NBA fan and Python dev, and I recently built DeepShot — a machine learning model that predicts NBA game outcomes with about 71% accuracy based on historical stats and rolling performance metrics (EWMA). It features: Real NBA data from Basketball Reference Exponentially Weighted Moving Averages to track momentum Interactive NiceGUI interface with team comparison and predictions Full Python stack and open-source (MIT license) Here’s the GitHub repo: https://github.com/saccofrancesco/deepshot And if you like it, here’s my Buy Me a Coffee:…

    2025 · github.com

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  21. 21

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  22. 22UB

    I have recently developed a bot capable of simultaneously scanning over 140+ sportsbooks around the globe. It analyzes millions of odds in real time and uses this data to find overpriced odds. The logic behind it is straightforward: it uses odds from all sportsbooks to calculate the probabilities of an event occurring. Then, with simple maths it determines if the expected value is positive, meaning the potential payout exceeds the risk. Unfortunately, sportsbooks limit your accounts once they realize that you are profitable and not a losing customer. So I have already been limited at more…

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  23. 23AA
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