NRL | Round 22

alphr.com.au

PAR
Eels
VS
MEL
Storm
COMMBANK STADIUM, SYDNEY • THURSDAY 31 JULY, 7:50 PM
🏁

AI Referee Insights

Gerard Sutton officiated this match (360 career games). The combined score of 26 points was 16 points below Gerard Sutton's career average of 42. Storm's victory aligns with Gerard Sutton's historical trend — Storm have a 72% win rate under this referee. Despite Gerard Sutton's 56% career home-team win rate, the away side Storm prevailed.

Based on referee career statistics • Post-match analysis

AI Game Review

Our model correctly predicted Storm to win at 65% probability. The margin model was sharp — predicting Storm by 4.9 vs the actual margin of 6 points. The game's 26 points came in 20 points lower than the predicted 46. A clean sweep — all 3 model picks hit for this match.

Model vs actual outcomes • Post-match analysis

Win Probability

AI Win Probability

65%StormFavourite

Eels

35%

Storm

65%

AI Match Overview

Storm are clear favourites here at 65%, with our model expecting a comfortable victory over Eels. Eels are stronger on paper across 5 of 7 key factors — including Forward Pack, Backline Quality and Halves Control — but Storm counter with ELO Difference and Recent Win Rate which tips the scales. Storm carry a 314-point ELO rating advantage (1686 vs 1372). Recent form favours Storm with 4 wins from their last 5 compared to 2 for Eels. The margin model predicts Storm by 4.9 points with a combined total of 46.

Generated from model features • Pre-kick-off analysis

Edge Analysis

Each market is predicted by an independent model — H2H, margin, and totals may occasionally disagree.

H2H Recommendation

Storm to Win @1.35

Winner ✓

Edge

-10.8%

Line / Spread

Storm +10.5 @1.91

Winner ✓

Edge

-10.8%

Total Points

Under 46.5 @1.91

Winner ✓

Edge

-1.0%

Form & History

TeamLast 5Avg Pts
Eels
WWLLL
20.8
Storm
WWWWL
27.6

Avg Conceded

29.2

Eels

17.6

Storm

Avg Margin

-8.4

Eels

10.0

Storm

Run Metres

1605

Eels

1777

Storm

Line Breaks

4.8

Eels

3.6

Storm

Referee IndicatorAI
Favours Storm
Gerard Sutton360 games since 2011

Each team's win rate when Gerard Sutton refs their game (vs any opponent, all seasons)

PAR
39%14W 22L
MEL
72%47W 18L

When Gerard Sutton officiates, Storm have won 47 of 65 games (72%) vs any opponent — significantly stronger than Eels's 14 from 36 (39%). That's a 33‑point gap across all seasons. His games average 41.9 pts, sitting close to the league average. Home teams win 56% of his matches (vs ~52% league avg), which could give Eels an additional edge at home.

Avg Total

41.9 pts

Home Win %

56%

Home Bias

Leans home

H2H History (Last 5)Storm lead 5-0
Mar 2026PAR 4 - 52 MEL
Mar 2025PAR 18 - 56 MEL
Aug 2024PAR 14 - 32 MEL
May 2024PAR 16 - 48 MEL
Aug 2023PAR 16 - 46 MEL
Prediction BreakdownPure Alpha Model

📊Team ELO Ratings

PAR
1372Overall1686
MEL
ELO difference: -314 in favour of Storm

🏈Positional Matchups

Player ELO aggregated by position group — higher = stronger unit

1017Forwards978
Best: 1206PAR +39Best: 1197
1084Backs966
Best: 1194PAR +118Best: 1073
981Halves1046
Best: 981MEL +66Best: 1046
822Hooker1229
MEL +407

📈Recent Form (Last 5)

PAR
Stat
MEL
2.0
Wins (Last 5)
4.0
20.8pts
Avg Score
27.6pts
29.2pts
Avg Conceded
17.6pts
-8.4pts
Avg Margin
10.0pts
1605.0m
Run Metres
1777.2m
4.8
Line Breaks
3.6
366.2
Tackles
333.0
13.6
Errors
11.0

🔑Key Prediction Factors

What the model weighted most in this prediction

1
ELO Difference14.0%
Storm
2
Forward Pack12.0%
Eels
3
Backline Quality10.0%
Eels
4
Halves Control9.0%
Eels
5
Recent Win Rate9.0%
Storm
6
Referee Tendency7.0%
Eels
7
Venue Advantage7.0%
Eels

Model Confidence

65%

Storm predicted to win by 5 points

Predicted total: 46 · Line: -4.9

3/3 match predictions correct
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