The Model

A statistical rugby-league model — NRL, NRLW and State of Origin: try-scorer, goal-kicking and player-points projections, plus NRL & NRLW match markets (head-to-head, line, total) priced to surface value. Educational — not betting advice.

Round 21updated Thu 23 Jul 2026, 05:51PM AEST

Every figure here is out-of-sample: the model is trained on earlier seasons and scored on 2023, 2024, 2025 it never saw. Numbers it hasn’t earned aren’t shown — see how it performs before trusting it.

0.730
Try-scorer AUC
vs 0.651 recent-form
0.8%
Calibration error
mean |pred − actual|
0.141
Brier score
lower is better
21,671
Test sample
player-games
Try-scorer calibration

Each point bins players by predicted anytime-try chance (x) against how often they actually scored (y). On the diagonal = perfectly calibrated.

0%0%10%10%20%20%30%30%40%40%50%50%Predicted try chanceActual frequency
Per-stat error (mean absolute error)
StatModel MAEBaselineBetter bySample
Hit-ups1.142.1146%21,671
Runs2.152.9527%21,671
Run metres22.5629.9325%21,671
Post-contact m9.312.1223%21,671
Tackles3.85.8935%21,671
Performance pts9.912.7622%21,671

“Better by” is the reduction in mean absolute error versus predicting each player’s last-5-game average. Lower MAE = closer to the real result. Educational only — not betting advice.