NRL | Round 17

alphr.com.au

MEL
Storm
VS
CRO
Sharks
AAMI PARK, MELBOURNE • SUNDAY 29 JUNE, 2:00 PM

Win Probability

AI Game Review

Our model correctly predicted Storm to win at 75% probability. The margin model missed here, predicting 8.1 but the actual margin was 24 points. Storm led 10–6 at the break and pulled away in the second half to win by 24. A clean sweep, all 3 model picks hit for this match.

Model vs actual outcomes • Post-match analysis

🏁

AI Referee Insights

Ashley Klein officiated this match (386 career games). The combined score of 36 points was 8 points below Ashley Klein's career average of 44. Storm's victory aligns with Ashley Klein's historical trend, Storm have a 62% win rate under this referee. Storm's home victory fits Ashley Klein's profile, home teams win 60% of the time under this referee.

Based on referee career statistics • Post-match analysis

Momentum Replay
Beta
80', Storm firmly in control (99%)
STO30
99%80'1%
6SHA
HT100%50%0%0'20'40'60'80'
Sharks momentumMomentum +31Storm momentum →
Next Try (within 10 min)
AI Model
92% none
STO 4%No try 92%SHA 4%
Biggest Swings

AI Win Probability

75%StormFavourite

Storm

75%

Sharks

25%

AI Match Overview

Storm are clear favourites here at 75%, with our model expecting a comfortable victory over Sharks. The model sees Storm ahead on 6 of 7 key factors including ELO Difference, Backline Quality and Halves Control. Storm carry a 173-point ELO rating advantage (1669 vs 1496). Recent form favours Storm with 4 wins from their last 5 compared to 2 for Sharks. The margin model predicts Storm by 8.1 points with a combined total of 43.

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

Winner ✓

Edge

-2.1%

Line / Spread

Storm -9.5 @1.91

Winner ✓

Edge

-2.1%

Total Points

Under 48.5 @1.91

Winner ✓

Edge

+15.8%

Form & History

TeamLast 5Avg Pts
Storm
W
W
W
W
L
36.2
Sharks
W
W
L
L
L
23.0

Avg Conceded

17.0

Storm

32.0

Sharks

Avg Margin

19.2

Storm

-9.0

Sharks

Run Metres

1836

Storm

1678

Sharks

Line Breaks

5.2

Storm

5.6

Sharks

Referee Indicator

Favours Storm

Ashley Klein

386 career games · since 2010

AI Analysis

Win rate when Ashley Klein refs each team (vs any opponent)

Storm
40W – 25L
62%
Sharks
25W – 32L
44%

When Ashley Klein officiates, Storm have won 40 of 65 games (62%), significantly stronger than Sharks's 25 from 57 (44%). Home teams win 60% of his matches (vs ~52% league avg).

Avg Total

43.6 pts

Home Win %

60%

Home Bias

Leans home

Penalty & Discipline

Pen / Game

8.9

Sin Bins / Gm

0.16

SB Away %

42%

Avg Penalties Per Game

vs Home Teams4.3
vs Away Teams4.6

Penalty Advantage Under This Ref

Positive = opponent penalised more than your team

Storm
-0.4
Sharks
+0.7

Ashley Klein averages just 8.9 penalties per game, well below average. He lets the game flow. Sharks get a +0.7 penalty advantage under Ashley Klein vs Storm's -0.4.

H2H History (Last 5)Storm lead 3-2
Oct 2025MEL 22 - 14 CRO
May 2025MEL 26 - 31 CRO
Sep 2024MEL 37 - 10 CRO
May 2024MEL 18 - 25 CRO
Jun 2023MEL 54 - 10 CRO
Prediction BreakdownPure Alpha Model

📊Team ELO Ratings

MEL
1669Overall1496
CRO
ELO difference: +173 in favour of Storm

🏈Positional Matchups

Player ELO aggregated by position group, higher = stronger unit

1109Forwards1118
Best: 1266EvenBest: 1267
974Backs927
Best: 1122MEL +47Best: 1044
1220Halves1183
Best: 1220MEL +37Best: 1183
1196Hooker1203
Even

📈Recent Form (Last 5)

MEL
Stat
CRO
4.0
Wins (Last 5)
2.0
36.2pts
Avg Score
23.0pts
17.0pts
Avg Conceded
32.0pts
19.2pts
Avg Margin
-9.0pts
1836.4m
Run Metres
1678.4m
5.2
Line Breaks
5.6
314.4
Tackles
340.0
12.0
Errors
10.4

🔑Key Prediction Factors

What the model weighted most in this prediction

1
ELO Difference14.0%
Storm
2
Forward Pack12.0%
Sharks
3
Backline Quality10.0%
Storm
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: 43 · Line: +8.1

3/3 match predictions correct
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