AFL | Round 11

alphr.com.au

MCG • TUESDAY 24 FEB, 10:45 PM

Quarter-by-Quarter Win Probability

AI Win Probability

64%MelbourneFavourite

Melbourne

64%

Sydney Swans

36%

AI Match Overview

Melbourne hold the advantage at 64% win probability, though Sydney Swans are far from out of this at 36%. The model sees Melbourne ahead on 4 of 7 key factors including Recent Win Rate, Forward Line ELO and Defensive ELO. Sydney Swans carry a 146-point ELO rating advantage (1523 vs 1377). Recent form favours Melbourne with 4 wins from their last 5 compared to 2 for Sydney Swans. The margin model predicts Melbourne by 15.6 points with a combined total of 170.

Generated from model features • Pre-kick-off analysis

Edge Analysis

2 ACTIVE EDGES

Each market is predicted by an independent model — H2H, margin, and totals may occasionally disagree.

H2H Recommendation

Melbourne to Win @1.87

Winner ✓

Edge

+10.2%

Line / Spread

Melbourne -1.5 @1.91

Winner ✓

Edge

+10.2%

Total Points

Over 167.5 @1.91

Winner ✓

Edge

+2.6%

Form & History

TeamLast 5Avg Pts
Melbourne
WWWWL
90.6
Sydney Swans
WWLLL
76.8

Avg Conceded

83.0

Melbourne

81.6

Sydney Swans

Avg Margin

7.6

Melbourne

-4.8

Sydney Swans

Disposals

382.6

Melbourne

354.4

Sydney Swans

Inside 50s

50.0

Melbourne

50.0

Sydney Swans

Prediction BreakdownPure Alpha Model

ELO–Market Disagreement

Sydney Swans hold the ELO advantage (1523 vs 1377), but the market favours Melbourne (@1.87).

The model sides with the market — other factors override the ELO gap.

📊Team ELO Ratings

MEL
1377Overall1523
SYD
ELO difference: -146 in favour of Sydney Swans

🏈Positional Matchups

Player ELO aggregated by position group — higher = stronger unit

1210Midfield1209
Best: 1210EvenBest: 1289
1117Forwards967
Best: 1440MEL +150Best: 1135
1247Defence1211
Best: 1357MEL +36Best: 1374
1471Ruck1220
Best: 1471MEL +251Best: 1440

📈Recent Form (Last 5)

MEL
Stat
SYD
4.0
Wins (Last 5)
2.0
90.6pts
Avg Score
76.8pts
83.0pts
Avg Conceded
81.6pts
7.6pts
Avg Margin
-4.8pts
382.6
Disposals
354.4
50.0
Inside 50s
50.0
57.8
Tackles
52.4
41.4
Clearances
37.6

🔑Key Prediction Factors

What the model weighted most in this prediction

1
ELO Difference14.0%
Swans
2
Midfield ELO11.0%
3
Recent Win Rate10.0%
Melbourne
4
Forward Line ELO9.0%
Melbourne
5
Defensive ELO8.0%
Melbourne
6
Scoring Form8.0%
Melbourne
7
Venue Advantage7.0%

Model Confidence

64%

Melbourne predicted to win by 16 points

Predicted total: 170 · Line: +15.6

Player Work Effort

Per-minute effort vs effectiveness (vs personal average)

Team Effort

+0.43

Team Effectiveness

+0.37

14
Elite
4
Hard Worker
3
Efficient
2
Poor Game
Sort:

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.

3/3 predictions correct
Coming Soon

Goal Scorer Predictions

AI-powered goal scorer predictions and player prop markets — built on our 6-model player stats engine.

First / Anytime / Last ScorerPlayer Props