analytics

Sports: Boost Soccer Insights

Get sports analytics with computer vision.
5,275 stars646 forksPythonGuide quality 8/10Updated 7/22/2026100% 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
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ 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
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

Quick Actions
Details
Creator
roboflow
Language
Python
Category
analytics
Published
5/13/2024

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