NRL | Round 24

alphr.com.au

PEN
Panthers
VS
MEL
Storm
COMMBANK STADIUM, SYDNEY • THURSDAY 14 AUG, 7:50 PM
🏁

AI Referee Insights

Ashley Klein officiated this match (379 career games). The 40-point combined total was right in line with Ashley Klein's career average of 43. Storm's victory aligns with Ashley Klein's historical trend — Storm have a 62% win rate under this referee. Despite Ashley Klein's 60% career home-team win rate, the away side Storm prevailed.

Based on referee career statistics • Post-match analysis

AI Game Review

Storm defied the model's 71% prediction for Panthers — a notable upset. The predicted margin of 4.4 was reasonable against the actual 4-point result. Total score prediction of 38 was close to the actual 40 — within 2 points. Storm trailed 12–4 at half-time before staging a second-half comeback to win 18–22. A tough result for the model — all 3 picks missed on this one.

Model vs actual outcomes • Post-match analysis

Win Probability

AI Win Probability

71%PanthersFavourite

Panthers

71%

Storm

29%

AI Match Overview

Panthers are clear favourites here at 71%, with our model expecting a comfortable victory over Storm. The model sees Panthers ahead on 6 of 7 key factors including Forward Pack, Backline Quality and Halves Control. Storm carry a 74-point ELO rating advantage (1712 vs 1638). Recent form favours Panthers with 5 wins from their last 5 compared to 4 for Storm. The margin model predicts Panthers by 4.4 points with a combined total of 38.

Generated from model features • Pre-kick-off analysis

Edge Analysis

2 ACTIVE EDGES

Each market is predicted by an independent model — H2H, margin, and totals may occasionally disagree.

H2H Recommendation

Panthers to Win @1.80

Lost ✗

Edge

+4.6%

Line / Spread

Panthers -1.5 @1.91

Lost ✗

Edge

+4.6%

Total Points

Under 39.5 @1.91

Lost ✗

Edge

+1.2%

Form & History

TeamLast 5Avg Pts
Panthers
WWWWW
35.2
Storm
WWWWL
24.0

Avg Conceded

12.0

Panthers

14.8

Storm

Avg Margin

23.2

Panthers

9.2

Storm

Run Metres

1902

Panthers

1738

Storm

Line Breaks

7.2

Panthers

3.4

Storm

Referee IndicatorAI
Favours Storm
Ashley Klein379 games since 2010

Each team's win rate when Ashley Klein refs their game (vs any opponent, all seasons)

PEN
51%28W 27L
MEL
62%39W 24L

Storm hold a 11‑point edge: 39W–24L (62%) vs Panthers's 28W–27L (51%) across all games Ashley Klein has refereed for each side. His games average 43.4 pts, sitting close to the league average. Home teams win 60% of his matches (vs ~52% league avg), which could give Panthers an additional edge at home.

Avg Total

43.4 pts

Home Win %

60%

Home Bias

Leans home

H2H History (Last 5)Storm lead 3-2
Apr 2026PEN 50 - 10 MEL
Mar 2025PEN 24 - 30 MEL
Aug 2024PEN 22 - 24 MEL
Mar 2024PEN 0 - 8 MEL
Oct 2023PEN 38 - 4 MEL
Prediction BreakdownPure Alpha Model

ELO–Market Disagreement

Storm hold the ELO advantage (1712 vs 1638), but the market favours Panthers (@1.80).

The model sides with the market — other factors override the ELO gap.

📊Team ELO Ratings

PEN
1638Overall1712
MEL
ELO difference: -74 in favour of Storm

🏈Positional Matchups

Player ELO aggregated by position group — higher = stronger unit

1098Forwards1022
Best: 1265PEN +76Best: 1270
1150Backs1091
Best: 1203PEN +60Best: 1306
1339Halves962
Best: 1339PEN +377Best: 962
895Hooker1173
MEL +278

📈Recent Form (Last 5)

PEN
Stat
MEL
5.0
Wins (Last 5)
4.0
35.2pts
Avg Score
24.0pts
12.0pts
Avg Conceded
14.8pts
23.2pts
Avg Margin
9.2pts
1901.6m
Run Metres
1737.6m
7.2
Line Breaks
3.4
367.0
Tackles
341.4
10.0
Errors
11.4

🔑Key Prediction Factors

What the model weighted most in this prediction

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

Model Confidence

71%

Panthers predicted to win by 4 points

Predicted total: 38 · Line: +4.4

0/3 match predictions correct
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