AI Referee Insights
Ashley Klein officiated this match (379 career games). The combined score of 36 points was 7 points below 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. 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
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
Win Probability
AI Win Probability
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 EDGEEach 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
| Team | Last 5 | Avg Pts |
|---|---|---|
Storm | WWWWL | 36.2 |
Sharks | WWLLL | 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
Each team's win rate when Ashley Klein refs their game (vs any opponent, all seasons)
When Ashley Klein officiates, Storm have won 39 of 63 games (62%) vs any opponent — significantly stronger than Sharks's 25 from 56 (45%). That's a 17‑point gap across all seasons. 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 Storm an additional edge at home.
Avg Total
43.4 pts
Home Win %
60%
Home Bias
Leans home
📊Team ELO Ratings
🏈Positional Matchups
Player ELO aggregated by position group — higher = stronger unit
📈Recent Form (Last 5)
🔑Key Prediction Factors
What the model weighted most in this prediction
Model Confidence
75%
Storm predicted to win by 8 points
Predicted total: 43 · Line: +8.1
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