NRL | Round 2

alphr.com.au

SGI
Dragons
VS
MEL
Storm
WIN STADIUM, WOLLONGONG • SATURDAY 14 MAR, 5:30 PM

Win Probability

AI Game Review

Our model correctly predicted Storm to win at 59% probability. The margin model missed here, predicting 4.3 but the actual margin was 26 points. The game's 66 points came in 17 points higher than the predicted 49. Storm led 14–18 at the break and pulled away in the second half to win by 26. The model went 2/4 on this match. The over 46.5 total call was correct.

Model vs actual outcomes • Post-match analysis

🏁

AI Referee Insights

Gerard Sutton officiated this match (367 career games). The combined score of 66 points was 24 points above Gerard Sutton's career average of 42. Storm's victory aligns with Gerard Sutton's historical trend, Storm have a 73% win rate under this referee. Despite Gerard Sutton's 56% career home-team win rate, the away side Storm prevailed. 61% of his career sin bins go against away teams, a statistically significant away-team bias.

Based on referee career statistics • Post-match analysis

Momentum Replay
Beta
80', Storm firmly in control (99%)
DRA20
1%80'99%
46STO
HT100%50%0%0'20'40'60'80'
Storm momentumMomentum -29Dragons momentum →
Next Try (within 10 min)
AI Model
86% none
DRA 7%No try 86%STO 7%
Biggest Swings

AI Win Probability

59%StormFavourite

Dragons

41%

Storm

59%

AI Match Overview

Storm hold the advantage at 59% win probability, though Dragons are far from out of this at 41%. The model sees Storm ahead on 5 of 7 key factors including ELO Difference, Forward Pack and Backline Quality. Storm carry a 281-point ELO rating advantage (1645 vs 1364). Recent form favours Storm with 3 wins from their last 5 compared to 0 for Dragons. The margin model predicts Storm by 4.3 points with a combined total of 49.

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 @1.38

Winner ✓

Edge

-10.3%

Line / Spread

Dragons +8.5 @1.91

Lost ✗

Edge

+0.0%

Margin Band

Storm 1-12 @2.55

Lost ✗

Edge

+0.0%

Total Points

Over 46.5 @1.91

Winner ✓

Edge

+0.0%

Form & History

TeamLast 5Avg Pts
Dragons
R2025-R24L
R2025-R25L
R2025-R26L
R2025-R27L
R2026-R1L

older → newer

13.6
Storm
R2025-R26L
R2025-R27L
R2025-R28W
R2025-R30W
R2026-R1W
24.8

Avg Conceded

29.8

Dragons

21.2

Storm

Avg Margin

-16.2

Dragons

3.6

Storm

Run Metres

1608

Dragons

1680

Storm

Line Breaks

3.0

Dragons

5.8

Storm

Referee Indicator

Favours Storm

Gerard Sutton

367 career games · since 2011

AI Analysis

Win rate when Gerard Sutton refs each team (vs any opponent)

Dragons
11W – 23L
32%
Storm
48W – 18L
73%

When Gerard Sutton officiates, Storm have won 48 of 66 games (73%), significantly stronger than Dragons's 11 from 34 (32%). Home teams win 56% of his matches (vs ~52% league avg).

Avg Total

42.0 pts

Home Win %

56%

Home Bias

Leans home

Penalty & Discipline

Pen / Game

11.8

Sin Bins / Gm

0.12

SB Away %

61%

Avg Penalties Per Game

vs Home Teams5.7
vs Away Teams6.1

Penalty Advantage Under This Ref

Positive = opponent penalised more than your team

Dragons
+1.1
Storm
+0.7

Dragons get a +1.1 penalty advantage under Gerard Sutton vs Storm's +0.7. 61% of his 18 career sin bins go to away teams.

H2H History (Last 5)Storm lead 3-2
Mar 2025SGI 14 - 8 MEL
Aug 2024SGI 18 - 16 MEL
Sep 2023SGI 28 - 38 MEL
May 2022SGI 6 - 42 MEL
May 2021SGI 18 - 44 MEL
Prediction BreakdownPure Alpha Model

📊Team ELO Ratings

SGI
1364Overall1645
MEL
ELO difference: -281 in favour of Storm

🏈Positional Matchups

Player ELO aggregated by position group, higher = stronger unit

891Forwards1153
MEL +262
846Backs1153
MEL +307
895Halves1161
MEL +266
828Hooker1138
MEL +310

📈Recent Form (Last 5)

SGI
Stat
MEL
0.0
Wins (Last 5)
3.0
13.6pts
Avg Score
24.8pts
29.8pts
Avg Conceded
21.2pts
-16.2pts
Avg Margin
3.6pts
1607.6m
Run Metres
1679.8m
3.0
Line Breaks
5.8
409.6
Tackles
324.8
8.4
Errors
10.4

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

Model Confidence

59%

Storm predicted to win by 4 points

Predicted total: 49 · Line: -4.3

2/4 match predictions correct
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