AI Game Review
Our model correctly predicted Collingwood to win at 50% probability. The margin model missed here, predicting 7.5 but the actual margin was 31 points. Collingwood led 67–50 at the break and pulled away in the second half to win by 31. A clean sweep, all 3 model picks hit for this match.
Model vs actual outcomes • Post-match analysis
Quarter-by-Quarter Win Probability
AI Win Probability
Collingwood
50%
Sydney Swans
50%
AI Match Overview
This shapes up as one of the tightest matchups of the round. Our model gives Collingwood a marginal 50% edge, making this essentially a coin-flip contest. The model sees Collingwood ahead on 4 of 7 key factors including ELO Difference, Midfield ELO and Defensive ELO. Collingwood carry a 28-point ELO rating advantage (1526 vs 1498). Recent form favours Sydney Swans with 4 wins from their last 5 compared to 2 for Collingwood. The margin model predicts Collingwood by 7.5 points with a combined total of 173.
Generated from model features • Pre-kick-off analysis
Edge Analysis
Each market is predicted by an independent model, H2H, margin, and totals may occasionally disagree.
H2H Recommendation
Collingwood to Win @1.70
Winner ✓
Edge
-8.7%
Line / Spread
Collingwood -4.5 @1.91
Winner ✓
Edge
-8.7%
Total Points
Over 168.5 @1.91
Winner ✓
Edge
+2.6%
Form & History
| Team | Last 5 | Avg Pts |
|---|---|---|
Collingwood | W W L L L | 95.3 |
Sydney Swans | W W W W L | 82.7 |
Avg Conceded
81.2
Collingwood
95.6
Sydney Swans
Avg Margin
7.1
Collingwood
25.1
Sydney Swans
Disposals
355.7
Collingwood
345.4
Sydney Swans
Inside 50s
52.2
Collingwood
49.5
Sydney Swans
📊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
50%
Collingwood predicted to win by 8 points
Predicted total: 173 · Line: +7.5
Player Work Effort
Per-minute effort vs effectiveness (vs personal average)Team Effort
+0.13
Team Effectiveness
+0.25
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.
Goal Scorer Predictions
AI-powered goal scorer predictions and player prop markets, built on our 6-model player stats engine.