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sports: AI‑powered video analytics for football & soccer

Leverage computer‑vision to extract keypoints, detect events, and visualize game data—perfect for founders building sports‑analytics products. 5.4k+ GitHub stars

From the repo · “computer vision and sports”

5,434 stars+12★ this week675 forksPythonGuide quality 8/10 · reviewed Oct 9Updated 8/28/2026100% free · open source
What it does

Analyzes sports video footage using computer vision to track player and team performance metrics

When to use it
  • •You need to track player movements and game events in sports videos
  • •Your sports analytics application requires automated analysis of game footage
  • •You want to develop a dashboard to visualize team and player performance statistics
Ready-to-paste prompt
python sports.py --video_path=/path/to/video.mp4 --model_path=/path/to/model.pth
Heads up: Make sure you have the necessary GPU drivers and CUDA version installed to run the computer vision model, as specified in the README
Saves to your device
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✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/sports && curl -fsSL https://workflowstacks.com/api/skills/sports/claude-skill -o ~/.claude/skills/sports/SKILL.md
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How sports: AI‑powered video analytics for football & soccer works
Codeflow
Free to inspect

Sports: AI‑powered video analytics for football & soccer is a small Python project (~1.2k lines across 12 code files). Setup is light: installs like a normal app. Reading the code is optional. Last commit a month ago, MIT license, no tests found.

Size
Small codebase
~1.2k lines · 12 code files · 10 min skim
Setup
One-command install
Installs like a normal app. Reading the code is optional.
Runs on
Python
No API keys detected
Python 100%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    sports/__init__.py
    Inside sports/ — the main logic begins here
  3. 3
    examples/soccer/README.md
    A worked example — copy this to get going
What's in each folder
sports/Core code — the actual logic9 files
examples/Examples you can copy7 files
READMENo tests foundThin docsNo CIExamples includedMIT licenseUpdated this month
Quick Actions
Details
Creator
roboflow
Language
Python
Category
analytics
Published
5/13/2024

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/sports.svg)](https://workflowstacks.com/skills/sports?utm_source=github&utm_medium=badge)
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