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FPLRogueResearch
Settled result review

FPL GW9 projection accuracy scorecard

The accepted xpts_v1 release was frozen before the deadline, then compared with official points, minutes and starts after the Gameweek finished.

Snapshot2026-10-31-gw9
Likely players222
Likely-player MAE2.31 pts
xMins MAE18.3 min
No post-result reconstruction

Accuracy by cohort

CohortPlayersMAERMSEBiasWithin 2 ptsxMins MAEStart Brier
All captured players6691.181.94+0.3675.5%12.5 min0.084
Projected ≥45 minutes2222.312.79+0.6246.4%18.3 min0.128
Predicted top 25253.323.90-0.0520.0%14.2 min0.077
Highest pre-deadline xPts

Predicted top 10 outcomes

PlayerTeamPredictedActualErrorxMinsMinutes
#1 HaalandMCI7.712+5.7186.190
#2 N.JacksonAVL5.739-3.2785.790
#3 TavernierBOU5.563+2.5685.890
#4 GabrielARS5.466-0.5488.390
#5 DokuMCI5.152+3.1581.790
#6 MbeumoMUN5.051+4.0585.890
#7 B.FernandesMUN5.042+3.0468.290
#8 E.Le FéeSUN4.928-3.0885.890
#9 Gibbs-WhiteNFO4.782+2.7868.390
#10 Van HeckeTOT4.6315-10.3787.790

How this scorecard is calculated

Point error is predicted next-Gameweek xPts minus settled official points. MAE averages absolute error; RMSE gives larger misses more weight; positive bias means overprediction. Minutes MAE compares xMins with played minutes. Start Brier score measures the probability forecast against the official start flag, where lower is better.