A machine learning platform that identifies high-confidence NFL game predictions using historical data, injury analysis, and sharp bookmaker signals.
StadiumMetrics is a data-driven NFL prediction system built to identify games where specific, time-tested patterns align to produce high-confidence outcomes. Rather than attempting to predict every game, the system focuses exclusively on matchups that meet a defined set of criteria — keeping accuracy high by filtering out noise.
The platform combines team and player statistics from 2018 through 2025 with live odds data from the sharpest bookmakers in the world. Predictions cover winner, point spread, and game total, with each output accompanied by a confidence score and the specific factors that triggered the prediction.
The system identifies which team is likely to win based on historical matchup patterns, recent form, home and away performance, and situational factors such as divisional rivalries and rest advantages.
Pattern-based spread predictions using timeless NFL trends. The system flags games where the spread is mispriced relative to the underlying data, creating a margin for precision.
Total points predictions driven by offensive and defensive efficiency metrics. Accounts for pace of play, weather conditions where applicable, and quarterback style transitions.
A tiered injury scoring system assigns numerical deductions based on position importance — quarterback and blindside tackle injuries carry the highest weight, rotational players the lowest.
The platform is built on a production-grade stack running on a dedicated cloud server. All data is stored in a PostgreSQL database and updated automatically on a daily schedule.
| Component | Detail |
|---|---|
| NFL Game Data | 2,599 games across 8 seasons (2018–2025) via API-Sports |
| Odds Data | Moneyline, spread, and totals from Pinnacle, William Hill, Ladbrokes, Matchbook, Circa Sports |
| Database | PostgreSQL with tables for games, team stats, odds, and predictions |
| Automation | Daily NFL data refresh at 6 AM, odds updated every 6 hours |
| AI Reasoning Layer | Claude Sonnet via Anthropic API for pattern evaluation and prediction synthesis |
| Domain | https://stadiummetrics.com — SSL secured, live 24/7 |
Every prediction made by the system is logged against the actual game result. Over time, this feedback loop allows the model to identify which patterns are holding, which are weakening, and surface new candidate patterns from the data automatically. The goal is a system that gets sharper with every season, not one that requires manual recalibration.
Shadow mode will run through the pre-season — generating live predictions internally before anything is published externally — so that accuracy can be validated against real results before the 2026 season begins.