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Cornerman - Mathematical Boxing Predictions

Boxing prediction SaaS (C#) — 80–83% winner accuracy across 220+ fights.

About

A working web-based boxing prediction SaaS built in C#. The core is a proprietary algorithm that takes BoxRec data, and in under two minutes outputs: predicted winner, win probability (%), and the reasoning behind the pick.

Track record: 80–83% winner accuracy across 220+ historical fights (peak 83%). All predictions are visible on the live site, so the buyer can verify the output before committing.

What the buyer receives:

  • Full source code (C#) and the prediction engine.
  • The domain (cornerman.cloud) and the Facebook page.
  • The option to adapt the prediction engine into a standalone desktop application if preferred — the engine is modular and can run locally with BoxRec data.

What the buyer can do with it:

  • Monetize as-is: add a paywall, subscription, or per-prediction fee to the existing web app.
  • Adapt to desktop: package the prediction engine as a local tool for personal or professional use (no hosting costs).
  • Use it as a research/analysis tool: run historical backtests, refine the model, or integrate it into a broader betting/analytics workflow.
  • Build content around it: use the output as a data-driven hook for a boxing site, newsletter, or community.

Why I'm selling: I'm moving on to other projects and would rather see this go to someone who can take it further. I'm not selling because the tool doesn't work — the accuracy is documented and the site is live.

Price: $850 (negotiable — open to reasonable offers).

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