NRL | Round 6

alphr.com.au

MEL
Storm
VS
NZL
Warriors
AAMI PARK, MELBOURNE • SUNDAY 13 APR, 2:00 PM

Win Probability

AI Game Review

Our model correctly predicted Storm to win at 76% probability. The margin model missed here, predicting 12.8 but the actual margin was 28 points. The model went 2/3 on this match. The 1-12 margin band call landed.

Model vs actual outcomes • Post-match analysis

🏁

AI Referee Insights

Ashley Klein officiated this match (386 career games). The combined score of 56 points was 12 points above 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%)
STO42
99%80'1%
14WAR
HT100%50%0%0'20'40'60'80'
Warriors momentumMomentum -7Storm momentum →
Next Try (within 10 min)
AI Model
80% none
STO 10%No try 80%WAR 10%
Biggest Swings

AI Win Probability

76%StormFavourite

Storm

76%

Warriors

24%

AI Match Overview

Storm are clear favourites here at 76%, with our model expecting a comfortable victory over Warriors. Both sides are evenly matched across the key prediction factors, which explains the tight margin between them. Storm carry a 194-point ELO rating advantage (1685 vs 1491). The margin model predicts Storm by 12.8 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 @1.18

Winner ✓

Edge

-10.7%

Line / Spread

Storm -14.5 @1.91

Winner ✓

Edge

-10.7%

Total Points

Under 53.5 @1.91

Lost ✗

Edge

+27.3%

Form & History

TeamLast 5Avg Pts
Storm
W
W
W
W
L
38.0
Warriors
W
W
W
W
L
22.8

Avg Conceded

19.6

Storm

20.8

Warriors

Avg Margin

18.4

Storm

2.0

Warriors

Run Metres

1645

Storm

1832

Warriors

Line Breaks

6.8

Storm

4.4

Warriors

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%
Warriors
13W – 22L
37%

When Ashley Klein officiates, Storm have won 40 of 65 games (62%), significantly stronger than Warriors's 13 from 35 (37%). 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
Warriors
-0.3

Ashley Klein averages just 8.9 penalties per game, well below average. He lets the game flow.

H2H History (Last 5)Storm lead 4-1
Apr 2026MEL 14 - 38 NZL
Jun 2024MEL 38 - 24 NZL
Mar 2024MEL 30 - 26 NZL
Apr 2023MEL 30 - 22 NZL
Jul 2022MEL 24 - 12 NZL
Prediction BreakdownPure Alpha Model

📊Team ELO Ratings

MEL
1685Overall1491
NZL
ELO difference: +194 in favour of Storm

🏈Positional Matchups

Player ELO aggregated by position group, higher = stronger unit

1041Forwards1096
Best: 1280NZL +55Best: 1331
953Backs1022
Best: 1116NZL +69Best: 1101
1160Halves1191
Best: 1160NZL +31Best: 1191
959Hooker1090
NZL +131

📈Recent Form (Last 5)

MEL
Stat
NZL
4.0
Wins (Last 5)
4.0
38.0pts
Avg Score
22.8pts
19.6pts
Avg Conceded
20.8pts
18.4pts
Avg Margin
2.0pts
1645.0m
Run Metres
1831.6m
6.8
Line Breaks
4.4
300.6
Tackles
338.2
12.0
Errors
8.0

🔑Key Prediction Factors

What the model weighted most in this prediction

1
ELO Difference14.0%
Storm
2
Forward Pack12.0%
Warriors
3
Backline Quality10.0%
Warriors
4
Halves Control9.0%
Warriors
5
Recent Win Rate9.0%
6
Referee Tendency7.0%
Storm
7
Venue Advantage7.0%
Storm

Model Confidence

76%

Storm predicted to win by 13 points

Predicted total: 43 · Line: +12.8

2/3 match predictions correct
Coming Soon

Try Scorer Predictions

AI-powered try scorer predictions and player prop markets, built on our 6-model player stats engine.

First / Anytime / Last ScorerPlayer Props