01
Team Strength
Isolates offensive and defensive performance metrics from historical results and strength of schedule, standardizing for home-field and neutral venue variance.
Methodology
Under the Engine.
Hashlines operates on the Field Model 1.0 architecture. A five-stage quantitative pipeline transforms raw team data into rigorous probability distributions and market comparisons.
02
Matchup Context
Merges baseline ratings with situational variables. Custom scenario adjustments allow you to stress-test how specific assumptions shift the projection.
03
Game Outcomes
Simulates a broad distribution of game states to forecast terminal score probabilities, spreads, and totals rather than relying on single-point estimates.
04
Market Analysis
Benchmarks model outputs against live pricing tiers to flag structural divergence and potential value opportunities.
05
Validation & Backtesting
Continuously evaluates historical performance against real outcomes while enforcing strict point-in-time constraints to prevent look-ahead bias.
Forecast quality
Model Calibration
& Verification
We measure forecast accuracy against actual game outcomes using standardized calibration metrics—ensuring total transparency into model performance over time.
Scoring error (MAE)13.27 pts
Average miss between projected and final margin.
Brier score0.214
Accuracy of win probabilities. Lower is better.
Log loss0.618
Penalizes confident misses. Lower is better.
Calibration gap1.6%
Predicted vs. actual rates.
NFL
Scoring error (MAE)10.34 pts
Average miss between projected and final margin.
Brier score0.232
Accuracy of win probabilities. Lower is better.
Log loss0.658
Penalizes confident misses. Lower is better.
Calibration gap1.3%
Predicted vs. actual rates.
CFB
Scoring error (MAE)14.24 pts
Average miss between projected and final margin.
Brier score0.208
Accuracy of win probabilities. Lower is better.
Log loss0.604
Penalizes confident misses. Lower is better.
Calibration gap1.7%
Predicted vs. actual rates.
Games evaluated by season
SeasonGames evaluatedScoring errorBrierLog loss
2025 NFL28510.470.2330.660
2025 CFB80814.160.2070.601
2026 NFL (to date)939.430.2350.668
2026 CFB (to date)38814.640.2070.601
Designed for Insight. Built for Rigor.
Hashlines provides probabilistic estimates derived from historical data and algorithmic assumptions. Outputs are designed as analytical frameworks to inform independent decisions—not guaranteed outcomes or automated trade instructions.