For the professional scouts and coaches out there, the release of PyScout 2.0 is here to up your scouting game. Trained on Todd Steussie's legendary dataset of NFL stats from 2004-2019 + open-source nflverse data from 2019-2025, PyScout 2.0 is a machine-learning software designed to predict the position+success percentile/rank of a list of prospects+their athletic profiles+drill data.
Step 1: Manually load prospect data in the app or load a template-ready, filled-in, .csv
Step 2: Choose Prediction Mode (Fast, Standard, Client Diagnostics+Explain)
Step 3: Launch Predictions
Step 4: Analyze Results (Global Top, Top by Position, Nearest Neighbors per players, Expert Contributors; predictions explained)
Step 5: Export to Global Database (optional), global db has the list of all players the model was trained on and how it ranked them
Other cool features include quick search/filter tools, Manual Inspector mode where coaches/scouts can manually edit the ranking of a player they know to be an outlier.
Let's get this discussion rolling, contact me if this is a tool you'd like to have handy on your PC (quicktronics@hotmail.com).
by Happy-Point9748