Quarter-by-Quarter Win Probability
AI Win Probability
Carlton
57%
Melbourne
43%
AI Match Overview
Carlton hold the advantage at 57% win probability, though Melbourne are far from out of this at 43%. The model sees Carlton ahead on 6 of 7 key factors including ELO Difference, Midfield ELO and Recent Win Rate. Carlton carry a 75-point ELO rating advantage (1589 vs 1514). Recent form favours Carlton with 3 wins from their last 5 compared to 2 for Melbourne. The margin model predicts Melbourne by 4.8 points with a combined total of 150.
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
Carlton to Win @2.62
Winner ✓
Edge
+19.3%
Line / Spread
Melbourne +11.5 @1.91
Lost ✗
Edge
+19.3%
Total Points
Under 162.5 @1.91
Winner ✓
Edge
+2.6%
Form & History
| Team | Last 5 | Avg Pts |
|---|---|---|
Carlton | W W W L L | 107.9 |
Melbourne | W W L L L | 107.4 |
Avg Conceded
78.7
Carlton
87.3
Melbourne
Avg Margin
26.6
Carlton
1.4
Melbourne
Disposals
339.3
Carlton
334.0
Melbourne
Inside 50s
51.0
Carlton
57.0
Melbourne
ELO–Market Disagreement
Carlton hold the ELO advantage (1589 vs 1514), but the market favours Melbourne (@1.62).
The model sides with ELO, Carlton predicted to win despite longer odds.
📊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
57%
Carlton predicted to win by 5 points
Predicted total: 150 · Line: -4.8
Player Work Effort
Per-minute effort vs effectiveness (vs personal average)Team Effort
-0.12
Team Effectiveness
-0.29
Effort = pressure acts + tackles + contested possessions per minute on field, z-scored vs career avg. Effectiveness = disposal efficiency + fantasy/min + score involvements − errors, z-scored vs career avg.
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