Hooper

Hooper is a niche mobile AI tool that turns phone-recorded basketball footage into automated stats and highlights, aiming to serve players and coaches who want game analytics without manual effort. It sits at the intersection of sports tech and AI video analysis, offering a mobile-first solution that eliminates the need for expensive hardware or post-game manual editing. For its target audience—amateur players, coaches, and small leagues—Hooper promises to democratize access to performance data that was once reserved for professional teams. But how well does it deliver in practice?

Where Hooper stands out is its ability to automatically track key stats and generate highlight clips from a single phone recording. The app supports various game formats from 1v1 to 5v5, and even offers a workaround for full-court games using two phones. The AI handles player recognition, stat attribution, and dead time removal, producing a condensed highlight reel without manual intervention. This is a significant time-saver for players who want shareable content for social media or coaches who need quick game breakdowns. The free tier allows up to one hour of recording per month, which is generous for casual use, while the Pro tier at $9.99 per month expands to 30 hours and adds career stats tracking.

However, Hooper is not without limitations. The company claims 92% accuracy with the recommended setup, which means some errors are inevitable. Users must follow guidance on camera height and lighting to achieve reliable results. Ground mode, where the phone is placed on the floor, sacrifices shot chart creation and the ability to distinguish two-pointers from three-pointers. For full-court games, the dual-phone setup adds friction: you need a second person to record the other half, and sessions must be manually linked. This workflow may be impractical for pickup games where an extra spectator isn't available.

Who benefits most from Hooper? Individual players looking to build a social media presence with polished highlights will find the automatic generation a game-changer. Coaches can use it to review practice sessions and identify patterns without spending hours on video analysis. Leagues and tournament organizers might find it scalable for stat tracking, but the manual tagging of players after each session could become cumbersome with many participants. The app's profile creation and progress tracking over time add motivational value, especially for players committed to improvement.

Ultimately, Hooper is a practical tool for its niche, but buyers should temper expectations. It is not a replacement for professional-grade analytics, nor is it fully hands-off. The accuracy is good but not perfect, and the full-court setup requires coordination. For the price, especially the free tier, it offers a compelling entry point into automated basketball analysis. A practical operator should start with the free tier, test accuracy in their typical recording environment, and only upgrade if the volume or career tracking justifies the cost.