NRL | Round 16

alphr.com.au

SOU
Rabbitohs
VS
MEL
Storm
ACCOR STADIUM, SYDNEY • SATURDAY 21 JUNE, 7:35 PM
🏁

AI Referee Insights

Peter Gough officiated this match (176 career games). The combined score of 49 points was 5 points above 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 predicted margin of 8.7 was reasonable against the actual 1-point result. Total score prediction of 53 was close to the actual 49 — within 4 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

Rabbitohs

30%

Storm

70%

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 4 of 7 key factors including ELO Difference, Forward Pack and Halves Control. Storm carry a 286-point ELO rating advantage (1662 vs 1376). Recent form favours Storm with 3 wins from their last 5 compared to 2 for Rabbitohs. The margin model predicts Storm by 8.7 points with a combined total of 53.

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 @1.40

Winner ✓

Edge

-11.8%

Line / Spread

Storm +7.5 @1.91

Winner ✓

Edge

-11.8%

Total Points

Over 48.5 @1.91

Winner ✓

Edge

+12.3%

Form & History

TeamLast 5Avg Pts
Rabbitohs
WWLLL
20.8
Storm
WWWLL
34.8

Avg Conceded

24.4

Rabbitohs

16.2

Storm

Avg Margin

-3.6

Rabbitohs

18.6

Storm

Run Metres

1518

Rabbitohs

1783

Storm

Line Breaks

3.8

Rabbitohs

5.2

Storm

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)

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

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

Leans home

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

📊Team ELO Ratings

SOU
1376Overall1662
MEL
ELO difference: -286 in favour of Storm

🏈Positional Matchups

Player ELO aggregated by position group — higher = stronger unit

1092Forwards1124
Best: 1290MEL +32Best: 1296
1021Backs1021
Best: 1111EvenBest: 1108
1153Halves1318
Best: 1153MEL +165Best: 1318
994Hooker1095
MEL +101

📈Recent Form (Last 5)

SOU
Stat
MEL
2.0
Wins (Last 5)
3.0
20.8pts
Avg Score
34.8pts
24.4pts
Avg Conceded
16.2pts
-3.6pts
Avg Margin
18.6pts
1518.4m
Run Metres
1783.2m
3.8
Line Breaks
5.2
371.6
Tackles
313.4
9.0
Errors
11.0

🔑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%
4
Halves Control9.0%
Storm
5
Recent Win Rate9.0%
Storm
6
Referee Tendency7.0%
7
Venue Advantage7.0%
Rabbitohs

Model Confidence

70%

Storm predicted to win by 9 points

Predicted total: 53 · Line: -8.7

3/3 match predictions correct
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