AI Game Review
Our model correctly predicted Sydney Swans to win at 65% probability. The margin model missed here — predicting 2.2 but the actual margin was 14 points. Sydney Swans led 41–35 at the break and pulled away in the second half to win by 14. The model went 2/3 on this match. The under 171.5 total call was correct.
Model vs actual outcomes • Post-match analysis
Quarter-by-Quarter Win Probability
AI Win Probability
Sydney Swans
65%
GWS GIANTS
35%
AI Match Overview
Sydney Swans are clear favourites here at 65%, with our model expecting a comfortable victory over GWS GIANTS. The model sees Sydney Swans ahead on 3 of 7 key factors including Midfield ELO, Forward Line ELO and Venue Advantage. GWS GIANTS carry a 97-point ELO rating advantage (1575 vs 1477). The margin model predicts GWS GIANTS by 2.2 points with a combined total of 168.
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
Sydney Swans to Win @2.18
Winner ✓
Edge
+18.7%
Line / Spread
GWS GIANTS +5.5 @1.91
Lost ✗
Edge
+18.7%
Total Points
Under 171.5 @1.91
Winner ✓
Edge
+2.6%
Form & History
| Team | Last 5 | Avg Pts |
|---|---|---|
Sydney Swans | WWLLL | 83.8 |
GWS GIANTS | WWLLL | 84.2 |
Avg Conceded
85.6
Sydney Swans
74.8
GWS GIANTS
Avg Margin
-1.8
Sydney Swans
9.4
GWS GIANTS
Disposals
360.6
Sydney Swans
390.2
GWS GIANTS
Inside 50s
50.0
Sydney Swans
50.0
GWS GIANTS
📊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
65%
Sydney Swans predicted to win by 2 points
Predicted total: 168 · Line: -2.2
Player Work Effort
Per-minute effort vs effectiveness (vs personal average)Team Effort
-0.03
Team Effectiveness
+0.02
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.