NRL | Round 20

alphr.com.au

MEL
Storm
VS
MAN
Sea Eagles
AAMI PARK, MELBOURNE • SATURDAY 19 JULY, 7:35 PM

Win Probability

AI Game Review

Sea Eagles defied the model's 75% prediction for Storm, a notable upset. The predicted margin of 7.5 was reasonable against the actual 2-point result. The model went 1/3 on this match. The under 47.5 total call was correct.

Model vs actual outcomes • Post-match analysis

🏁

AI Referee Insights

Wyatt Raymond officiated this match (46 career games). The combined score of 34 points was 16 points below Wyatt Raymond's career average of 50. Sea Eagles bucked the trend, Storm historically win 75% of games under Wyatt Raymond, but couldn't convert that edge today. Despite Wyatt Raymond's 61% career home-team win rate, the away side Sea Eagles prevailed.

Based on referee career statistics • Post-match analysis

Momentum Replay
Beta
80', Sea Eagles firmly in control (99%)
STO16
1%80'99%
18SEA
HT100%50%0%0'20'40'60'80'
Sea Eagles momentumMomentum +9Storm momentum →
Next Try (within 10 min)
AI Model
93% none
STO 3%No try 93%SEA 4%
Biggest Swings

AI Win Probability

75%StormFavourite

Storm

75%

Sea Eagles

25%

AI Match Overview

Storm are clear favourites here at 75%, with our model expecting a comfortable victory over Sea Eagles. The model sees Storm ahead on 6 of 7 key factors including ELO Difference, Forward Pack and Halves Control. Storm carry a 236-point ELO rating advantage (1708 vs 1472). Recent form favours Storm with 5 wins from their last 5 compared to 3 for Sea Eagles. The margin model predicts Storm by 7.5 points with a combined total of 40.

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 @1.33

Lost ✗

Edge

-2.4%

Line / Spread

Storm -8.5 @1.91

Lost ✗

Edge

-2.4%

Total Points

Under 47.5 @1.91

Winner ✓

Edge

+20.6%

Form & History

TeamLast 5Avg Pts
Storm
W
W
W
W
W
30.2
Sea Eagles
W
W
W
L
L
24.4

Avg Conceded

15.6

Storm

16.4

Sea Eagles

Avg Margin

14.6

Storm

8.0

Sea Eagles

Run Metres

1861

Storm

1746

Sea Eagles

Line Breaks

4.2

Storm

5.8

Sea Eagles

Referee Indicator

Favours Storm

Wyatt Raymond

46 career games · since 2024

AI Analysis

Win rate when Wyatt Raymond refs each team (vs any opponent)

Storm
3W – 1L
75%
Sea Eagles
2W – 3L
40%

When Wyatt Raymond officiates, Storm have won 3 of 4 games (75%), significantly stronger than Sea Eagles's 2 from 5 (40%). Games average 49.9 pts, above the league norm, suggesting a free-flowing style. Home teams win 61% of his matches (vs ~52% league avg). Small sample (4 games for Storm).

Avg Total

49.9 pts

Home Win %

61%

Home Bias

Leans home

Penalty & Discipline

Pen / Game

9.7

Sin Bins / Gm

0.43

SB Away %

50%

Avg Penalties Per Game

vs Home Teams4.9
vs Away Teams4.9

Penalty Advantage Under This Ref

Positive = opponent penalised more than your team

Storm
-1.0
Sea Eagles
+0.2

Sea Eagles get a +0.2 penalty advantage under Wyatt Raymond vs Storm's -1.0.

H2H History (Last 5)Sea Eagles lead 3-2
Apr 2025MEL 48 - 24 MAN
May 2024MEL 20 - 26 MAN
Jul 2023MEL 24 - 6 MAN
Apr 2023MEL 8 - 18 MAN
Jun 2022MEL 30 - 36 MAN
Prediction BreakdownPure Alpha Model

📊Team ELO Ratings

MEL
1708Overall1472
MAN
ELO difference: +236 in favour of Storm

🏈Positional Matchups

Player ELO aggregated by position group, higher = stronger unit

1088Forwards1058
Best: 1288MEL +30Best: 1230
998Backs1141
Best: 1106MAN +143Best: 1200
1409Halves1114
Best: 1409MEL +294Best: 1114
1040Hooker1032
Even

📈Recent Form (Last 5)

MEL
Stat
MAN
5.0
Wins (Last 5)
3.0
30.2pts
Avg Score
24.4pts
15.6pts
Avg Conceded
16.4pts
14.6pts
Avg Margin
8.0pts
1860.6m
Run Metres
1746.2m
4.2
Line Breaks
5.8
326.8
Tackles
352.6
10.8
Errors
10.0

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

Model Confidence

75%

Storm predicted to win by 8 points

Predicted total: 40 · Line: +7.5

1/3 match predictions correct
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