Predicting the Pros
ML-powered draft intelligence that evaluates college wide receivers using 161 features — breakout age, conference-adjusted production, athleticism, and recruiting pedigree — to predict NFL success before draft day.
Start Scouting →Players Evaluated
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Draft Classes
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ML Features
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Current Class
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How Does This Work?
Every year, college football players leave school and try to play in the NFL. Most wide receivers don't make it. But some do — and scouts spend millions of dollars trying to figure out which ones.
We built a computer that studied every college wide receiver since 2001 and learned the patterns. Not just “did they catch a lot of balls?” — but smarter stuff: Did they do it against tough teams? Did they break out young? Were they stuck behind better players who also went to the NFL?
The computer gives each player a score from 0–100% — their chance of catching 1,000+ yards in at least one NFL season. Higher score = better prospect.
Think of it like a weather forecast, but for football careers.
Positions Roadmap
- ✓ Wide Receiver — Live
- ◦ Running Back — Coming Soon
- ◦ Quarterback — Coming Soon
- ◦ Tight End — Coming Soon
- ◦ Defensive Positions — Planned
Explore the Tool
Draft Class Rankings
Full ranked list by draft year, sortable across all three probability models (1000 / 800 / 575-yard thresholds).
Player Profiles
Deep-dive per player: SHAP value breakdowns, comparable prospects, physical measurements, and draft history.
Feature Analysis
Explore all 161 model features — distributions, missing-data rates, and detailed descriptions of how each is calculated.
Model Comparison
Side-by-side ranking across the 1000, 800, and rookie 575-yard models to surface players with different upside / floor profiles.