NRL | Round 4

alphr.com.au

NQL
Cowboys
VS
MEL
Storm
QUEENSLAND COUNTRY BANK STADIUM, TOWNSVILLE • SATURDAY 28 MAR, 6:30 PM

Win Probability

AI Win Probability

68%StormFavourite

Cowboys

32%

Storm

68%

AI Match Overview

Storm are clear favourites here at 68%, with our model expecting a comfortable victory over Cowboys. The model sees Storm ahead on 5 of 7 key factors including ELO Difference, Forward Pack and Backline Quality. Storm carry a 235-point ELO rating advantage (1625 vs 1391). Recent form favours Storm with 4 wins from their last 5 compared to 2 for Cowboys. The margin model predicts Storm by 9.7 points with a combined total of 53.

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 @1.19

Lost ✗

Edge

-11.7%

Line / Spread

Cowboys +15.5 @1.91

Winner ✓

Edge

+0.0%

Margin Band

Storm 1-12 @2.55

Lost ✗

Edge

+0.0%

Total Points

Over 51.5 @1.91

Winner ✓

Edge

+0.0%

Form & History

TeamLast 5Avg Pts
Cowboys
WWLLL
27.2
Storm
WWWWL
32.0

Avg Conceded

28.4

Cowboys

17.2

Storm

Avg Margin

-1.2

Cowboys

14.8

Storm

Run Metres

1818

Cowboys

1810

Storm

Line Breaks

4.0

Cowboys

6.8

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)

NQL
54%26W 22L
MEL
74%48W 17L

When Gerard Sutton officiates, Storm have won 48 of 65 games (74%) vs any opponent — significantly stronger than Cowboys's 26 from 48 (54%). That's a 20‑point gap across all seasons. His games average 41.8 pts, sitting close to the league average. Home teams win 56% of his matches (vs ~52% league avg), which could give Cowboys an additional edge at home.

Avg Total

41.8 pts

Home Win %

56%

Home Bias

Leans home

H2H History (Last 5)Cowboys lead 3-2
Jul 2025NQL 20 - 26 MEL
Jun 2025NQL 14 - 38 MEL
Sep 2024NQL 38 - 30 MEL
Jun 2023NQL 45 - 20 MEL
May 2022NQL 36 - 6 MEL
Prediction BreakdownPure Alpha Model

📊Team ELO Ratings

NQL
1391Overall1625
MEL
ELO difference: -235 in favour of Storm

🏈Positional Matchups

Player ELO aggregated by position group — higher = stronger unit

875Forwards1109
MEL +234
878Backs1155
MEL +277
867Halves1126
MEL +258
880Hooker1129
MEL +248

📈Recent Form (Last 5)

NQL
Stat
MEL
2.0
Wins (Last 5)
4.0
27.2pts
Avg Score
32.0pts
28.4pts
Avg Conceded
17.2pts
-1.2pts
Avg Margin
14.8pts
1818.0m
Run Metres
1810.0m
4.0
Line Breaks
6.8
300.0
Tackles
300.0
12.0
Errors
12.0

🔑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%
Storm
5
Recent Win Rate9.0%
Storm
6
Referee Tendency7.0%
Cowboys
7
Venue Advantage7.0%
Cowboys

Model Confidence

68%

Storm predicted to win by 10 points

Predicted total: 53 · Line: -9.7

2/4 match predictions correct
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