A comprehensive platform for football player evaluation using predictive analytics and machine learning.
EIG Eval (Elite Insight Grade Evaluation) is a data science platform designed for football analytics. It provides predictive models that evaluate college football players and project their likelihood of success at the professional level.
The platform is built for NFL front offices, college football programs, and analytics departments who need transparent, validated, and actionable player evaluation tools.
The Elite Insight Grade is a composite score (0-100+) that represents a player's projected NFL success probability. Scores are calculated using position-specific models that weight college production, athletic profiles, and draft capital.
Players are classified into tiers based on their EIG score:
Each position has a dedicated model with tailored feature weights. A wide receiver is evaluated differently than a running back. This ensures the most accurate projections for each position group.
All models are documented, versioned, and auditable. View feature weights, training data, and historical performance for complete transparency.
Access 6+ years of graded prospects with NFL outcome tracking. See how past predictions performed against actual professional results.
Every model is backtested against historical draft classes. Accuracy metrics, hit rates, and calibration data are published for each model.
Current draft class prospects are graded and updated as new data becomes available. Sortable, filterable, and exportable.