NRL | Round 8

alphr.com.au

MEL
Storm
VS
SOU
Rabbitohs
AAMI PARK, MELBOURNE • FRIDAY 25 APR, 8:10 PM
🏁

AI Referee Insights

Peter Gough officiated this match (176 career games). The combined score of 40 points was 4 points below Peter Gough's career average of 44. Storm's victory aligns with Peter Gough's historical trend — Storm have a 73% win rate under this referee.

Based on referee career statistics • Post-match analysis

AI Game Review

Our model correctly predicted Storm to win at 70% probability. The margin model was sharp — predicting Storm by 10.0 vs the actual margin of 8 points. Total score prediction of 42 was close to the actual 40 — within 2 points. A clean sweep — all 3 model picks hit for this match.

Model vs actual outcomes • Post-match analysis

Win Probability

AI Win Probability

70%StormFavourite

Storm

70%

Rabbitohs

30%

AI Match Overview

Storm are clear favourites here at 70%, with our model expecting a comfortable victory over Rabbitohs. The model sees Storm ahead on 6 of 7 key factors including ELO Difference, Forward Pack and Backline Quality. Storm carry a 224-point ELO rating advantage (1647 vs 1423). Recent form favours Storm with 3 wins from their last 5 compared to 2 for Rabbitohs. The margin model predicts Storm by 10.0 points with a combined total of 42.

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 @1.17

Winner ✓

Edge

-13.8%

Line / Spread

Storm -16.5 @1.91

Winner ✓

Edge

-13.8%

Total Points

Under 46.5 @1.91

Winner ✓

Edge

+12.1%

Form & History

TeamLast 5Avg Pts
Storm
WWWLL
30.0
Rabbitohs
WWLLL
15.2

Avg Conceded

23.6

Storm

23.0

Rabbitohs

Avg Margin

6.4

Storm

-7.8

Rabbitohs

Run Metres

1570

Storm

1482

Rabbitohs

Line Breaks

5.4

Storm

3.4

Rabbitohs

Referee IndicatorAI
Favours Storm
Peter Gough176 games since 2016

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

MEL
73%11W 4L
SOU
47%9W 10L

When Peter Gough officiates, Storm have won 11 of 15 games (73%) vs any opponent — significantly stronger than Rabbitohs's 9 from 19 (47%). That's a 26‑point gap across all seasons. His games average 44.2 pts, sitting close to the league average.

Avg Total

44.2 pts

Home Win %

53%

Home Bias

Neutral

H2H History (Last 5)Storm lead 4-1
Jun 2025MEL 25 - 24 SOU
Aug 2024MEL 28 - 16 SOU
Apr 2024MEL 54 - 20 SOU
May 2023MEL 12 - 28 SOU
Apr 2023MEL 18 - 10 SOU
Prediction BreakdownPure Alpha Model

📊Team ELO Ratings

MEL
1647Overall1423
SOU
ELO difference: +224 in favour of Storm

🏈Positional Matchups

Player ELO aggregated by position group — higher = stronger unit

1112Forwards1042
Best: 1251MEL +70Best: 1223
1156Backs852
Best: 1189MEL +304Best: 1019
930Halves1001
Best: 930SOU +71Best: 1001
790Hooker1076
SOU +286

📈Recent Form (Last 5)

MEL
Stat
SOU
3.0
Wins (Last 5)
2.0
30.0pts
Avg Score
15.2pts
23.6pts
Avg Conceded
23.0pts
6.4pts
Avg Margin
-7.8pts
1570.0m
Run Metres
1482.0m
5.4
Line Breaks
3.4
313.0
Tackles
349.8
13.8
Errors
11.2

🔑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%
7
Venue Advantage7.0%
Storm

Model Confidence

70%

Storm predicted to win by 10 points

Predicted total: 42 · Line: +10.0

3/3 match predictions correct
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