Accuracy
Six NFL seasons of walk-forward testing, never trained on a week it had not already lived through: 7.3% more accurate than the strongest simple predictor of fantasy scoring, measured on walk-forward backtest across the 2020 to 2025 seasons. Every figure is published with its sample size, its measurement date and the document it came from.
Measured 2026-07-31 on walk-forward backtest across the 2020 to 2025 seasons. Source: engine/eval_history.jsonl (fan081-no-injury-background).
Against the strongest naive predictor
Strongest naive error
4.6232
Mean absolute error in points-per-reception (PPR) fantasy points per player-week. Lower is better. The baseline is a trailing four-game average shrunk toward the position median—the strongest simple predictor tested, not the most flattering comparison.
What we deliberately do not publish
We do not publish floors or ceilings
FAN-014, FAN-020The underlying interval is not calibrated well enough to label. A stated floor would be beaten far more often than its name implies, and a points range built by adding per-stat percentiles is invalid because percentiles do not add. Rather than show a number we cannot stand behind, we show the projection alone.
Release log
Every model change is gated on a full walk-forward backtest and only ships if it beats the incumbent. Each gated release appends a row here. The log starts at the first gated release, so it is short by design and grows one row at a time.
The per-release log is available to members. Create an account to read it.
Questions about the record
- How was Fanademy's fantasy football accuracy measured?
- Fanademy used walk-forward testing across the 2020 to 2025 NFL seasons, using only information available before each week. Mean absolute error compares each pre-game projection with the realised fantasy score.
- How much better is Fanademy than a simple predictor?
- Projection error is 4.2850 points per player-week against 4.6232 for the strongest naive predictor, a 7.3% improvement.