AI Referee Insights
Wyatt Raymond officiated this match (40 career games). The combined score of 34 points was 17 points below Wyatt Raymond's career average of 51. Sea Eagles bucked the trend — Storm historically win 100% of games under Wyatt Raymond, but couldn't convert that edge today. Despite Wyatt Raymond's 60% career home-team win rate, the away side Sea Eagles prevailed.
Based on referee career statistics • Post-match analysis
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
Win Probability
AI Win Probability
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 EDGEEach 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
| Team | Last 5 | Avg Pts |
|---|---|---|
Storm | WWWWW | 30.2 |
Sea Eagles | WWWLL | 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
Each team's win rate when Wyatt Raymond refs their game (vs any opponent, all seasons)
When Wyatt Raymond officiates, Storm have won 3 of 3 games (100%) vs any opponent — significantly stronger than Sea Eagles's 1 from 3 (33%). That's a 67‑point gap across all seasons. His games average 50.6 pts — above the league norm — suggesting he lets the game flow, which can benefit attacking sides. Home teams win 60% of his matches (vs ~52% league avg), which could give Storm an additional edge at home. Note: Based on a limited sample of 3 games for Storm — interpret with caution.
Avg Total
50.6 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: 40 · Line: +7.5
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