Win Probability
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
AI Referee Insights
Ashley Klein officiated this match (386 career games). The 40-point combined total was right in line with 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. Despite Ashley Klein's 60% career home-team win rate, the away side Storm prevailed.
Based on referee career statistics • Post-match analysis
AI Win Probability
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 EDGESEach 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
| Team | Last 5 | Avg Pts |
|---|---|---|
Panthers | W W W W W | 35.2 |
Storm | W W W W L | 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 Indicator
Favours StormAshley Klein
386 career games · since 2010
Win rate when Ashley Klein refs each team (vs any opponent)
Storm hold a 11-point edge: 40W–25L (62%) vs Panthers's 29W–28L (51%). Home teams win 60% of his matches (vs ~52% league avg).
Avg Total
43.6 pts
Home Win %
60%
Home Bias
Leans home
Pen / Game
8.9
Sin Bins / Gm
0.16
SB Away %
42%
Avg Penalties Per Game
Penalty Advantage Under This Ref
Positive = opponent penalised more than your team
Ashley Klein averages just 8.9 penalties per game, well below average. He lets the game flow.
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
🏈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
71%
Panthers predicted to win by 4 points
Predicted total: 38 · Line: +4.4
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