NRL | Round 9

alphr.com.au

MEL
Storm
VS
CAN
Raiders
SUNCORP STADIUM, BRISBANE • SUNDAY 4 MAY, 6:25 PM
🏁

AI Referee Insights

Gerard Sutton officiated this match (360 career games). The 38-point combined total was right in line with Gerard Sutton's career average of 42. Raiders bucked the trend — Storm historically win 74% of games under Gerard Sutton, but couldn't convert that edge today. Despite Gerard Sutton's 56% career home-team win rate, the away side Raiders prevailed.

Based on referee career statistics • Post-match analysis

AI Game Review

Raiders defied the model's 58% prediction for Storm — a notable result. The predicted margin of 3.9 was reasonable against the actual 2-point result. Total score prediction of 43 was close to the actual 38 — within 5 points. Raiders trailed 14–12 at half-time before staging a second-half comeback to win 18–20. The model went 1/3 on this match. The under 48.5 total call was correct.

Model vs actual outcomes • Post-match analysis

Win Probability

AI Win Probability

58%StormFavourite

Storm

58%

Raiders

42%

AI Match Overview

Storm hold the advantage at 58% win probability, though Raiders are far from out of this at 42%. The model sees Storm ahead on 5 of 7 key factors including ELO Difference, Forward Pack and Backline Quality. Storm carry a 101-point ELO rating advantage (1658 vs 1557). Recent form favours Raiders with 4 wins from their last 5 compared to 3 for Storm. The margin model predicts Storm by 3.9 points with a combined total of 43.

Generated from model features • Pre-kick-off analysis

Edge Analysis

1 ACTIVE EDGE

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

H2H Recommendation

Storm to Win @1.50

Lost ✗

Edge

-8.4%

Line / Spread

Storm -5.5 @1.91

Lost ✗

Edge

-8.4%

Total Points

Under 48.5 @1.91

Winner ✓

Edge

+14.8%

Form & History

TeamLast 5Avg Pts
Storm
WWWLL
28.8
Raiders
WWWWL
32.8

Avg Conceded

22.0

Storm

22.0

Raiders

Avg Margin

6.8

Storm

10.8

Raiders

Run Metres

1669

Storm

1724

Raiders

Line Breaks

6.2

Storm

5.6

Raiders

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)

MEL
74%48W 17L
CAN
45%18W 22L

When Gerard Sutton officiates, Storm have won 48 of 65 games (74%) vs any opponent — significantly stronger than Raiders's 18 from 40 (45%). That's a 29‑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 Storm an additional edge at home.

Avg Total

41.9 pts

Home Win %

56%

Home Bias

Leans home

H2H History (Last 5)Storm lead 3-2
Jul 2024MEL 16 - 6 CAN
Aug 2023MEL 48 - 2 CAN
Sep 2022MEL 20 - 28 CAN
Jul 2022MEL 16 - 20 CAN
Apr 2022MEL 30 - 16 CAN
Prediction BreakdownPure Alpha Model

📊Team ELO Ratings

MEL
1658Overall1557
CAN
ELO difference: +101 in favour of Storm

🏈Positional Matchups

Player ELO aggregated by position group — higher = stronger unit

1178Forwards1162
Best: 1323MEL +15Best: 1378
1106Backs1032
Best: 1180MEL +74Best: 1164
1168Halves1269
Best: 1168CAN +100Best: 1269
922Hooker1200
CAN +278

📈Recent Form (Last 5)

MEL
Stat
CAN
3.0
Wins (Last 5)
4.0
28.8pts
Avg Score
32.8pts
22.0pts
Avg Conceded
22.0pts
6.8pts
Avg Margin
10.8pts
1668.6m
Run Metres
1724.4m
6.2
Line Breaks
5.6
314.8
Tackles
332.6
13.6
Errors
9.4

🔑Key Prediction Factors

What the model weighted most in this prediction

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

Model Confidence

58%

Storm predicted to win by 4 points

Predicted total: 43 · Line: +3.9

1/3 match predictions correct
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