PB Vision - Stat Accuracy

🔍 Why Are My Stats Inaccurate?

Most accuracy issues come from how the video was recorded, not from the AI itself. Here are the most common causes:

  • Poor framing — If the full court or all four players aren't visible, the AI has less data to work with. See our Framing & Court Alignment Guidelines for optimal setup.

  • Shade or poor lighting — If it's hard for the human eye to see the ball, the AI will struggle too. Partial shade across the court is especially challenging.

  • Camera movement — Even small shifts during recording can throw off court alignment. Use a tripod or stable mount.

  • Low ball-to-court contrast — A yellow ball on a tan or yellow court is harder for the AI to track than a bright ball on a dark surface.

  • Players leaving the frame — If a player moves out of view (even briefly), the AI may lose track of who is who.

  • Similar player appearance — When players wear similar colors or overlap frequently, the AI may occasionally swap player identities.

For best results, follow our Framing & Court Alignment Guidelines before recording.

📊 How Accurate Is PB Vision?

When our Framing & Court Alignment Guidelines are followed, PB Vision achieves 95%+ accuracy on shot detection and scoring. The remaining cases where the AI may struggle include:

  • Edge-case serves (e.g., extremely fast or obscured by a player's body)

  • Rallies where the ball is obscured by shadows or netting

  • Close line calls — just like human referees, these are genuinely difficult

  • Lighting transitions (e.g., sun moving behind clouds mid-game)

We're constantly improving the AI with each update. If you notice a specific inaccuracy, you can report it using our Data Inaccuracy Report Form.

✏️ How Do I Correct the Score?

If the final score doesn't match what actually happened, you can correct it manually:

  1. Open the game and go to the Overview tab

  2. Enter the correct final score in the score fields

  3. Save your changes

These corrections are incredibly valuable — they help us improve the scoring algorithm for everyone.

Note: There is currently no way to correct the running score rally-by-rally. Only the final score can be edited. We're working on more granular correction tools for the future.

🔄 Why Are Shots Attributed to the Wrong Player?

Player identification depends on each player being consistently visible throughout the match. The AI may swap player identities when:

  • Players overlap or stand very close together (common at the kitchen line)

  • A player moves out of the camera's frame, even briefly

  • Players are wearing similar colors, making them harder to distinguish

  • Lighting changes cause visual differences mid-game

The best fix is better video setup: follow our Framing & Court Alignment Guidelines, ensure all players are fully visible at all times, and use a stable camera position.

⁉️ Looking For More?

If you still have questions or run into issues, check out our Contact Us guide or email support@pb.vision.