AFL | Round 16

alphr.com.au

SCG • TUESDAY 24 FEB, 10:45 PM

AI Game Review

Western Bulldogs defied the model's 53% prediction for Sydney Swans — a notable result. The margin model was sharp — predicting Western Bulldogs by 8.6 vs the actual margin of 9 points. The game's 201 points came in 42 points higher than the predicted 159. The model went 1/3 on this match. The 1-39 margin band call landed.

Model vs actual outcomes • Post-match analysis

Quarter-by-Quarter Win Probability

AI Win Probability

53%Sydney SwansFavourite

Sydney Swans

53%

Western Bulldogs

47%

AI Match Overview

This shapes up as one of the tightest matchups of the round. Our model gives Sydney Swans a marginal 53% edge, making this essentially a coin-flip contest. Western Bulldogs are stronger on paper across 5 of 7 key factors — including ELO Difference, Midfield ELO and Forward Line ELO — but Sydney Swans counter with Venue Advantage which tips the scales. Western Bulldogs carry a 242-point ELO rating advantage (1695 vs 1453). The margin model predicts Western Bulldogs by 8.6 points with a combined total of 159.

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

Sydney Swans to Win @2.68

Lost ✗

Edge

+16.1%

Line / Spread

Western Bulldogs +10.5 @1.91

Winner ✓

Edge

+16.1%

Total Points

Under 170.5 @1.91

Lost ✗

Edge

+2.6%

Form & History

TeamLast 5Avg Pts
Sydney Swans
WWWLL
69.6
Western Bulldogs
WWWLL
113.2

Avg Conceded

82.4

Sydney Swans

72.0

Western Bulldogs

Avg Margin

-12.8

Sydney Swans

41.2

Western Bulldogs

Disposals

352.2

Sydney Swans

397.0

Western Bulldogs

Inside 50s

50.0

Sydney Swans

50.0

Western Bulldogs

H2H History (Last 5)Sydney Swans lead 3-2
Jul 2024SYD 48 - 87 WBD
May 2024SYD 102 - 88 WBD
Jul 2023SYD 78 - 76 WBD
Jul 2022SYD 120 - 67 WBD
Mar 2022SYD 60 - 71 WBD
Prediction BreakdownPure Alpha Model

📊Team ELO Ratings

SYD
1453Overall1695
WBD
ELO difference: -242 in favour of Western Bulldogs

🏈Positional Matchups

Player ELO aggregated by position group — higher = stronger unit

1146Midfield1327
Best: 1194WBD +180Best: 1399
1081Forwards1168
Best: 1275WBD +86Best: 1480
1243Defence1277
Best: 1431WBD +35Best: 1438
1507Ruck1541
Best: 1507WBD +34Best: 1541

📈Recent Form (Last 5)

SYD
Stat
WBD
3.0
Wins (Last 5)
3.0
69.6pts
Avg Score
113.2pts
82.4pts
Avg Conceded
72.0pts
-12.8pts
Avg Margin
41.2pts
352.2
Disposals
397.0
50.0
Inside 50s
50.0
71.2
Tackles
58.8
43.4
Clearances
40.6

🔑Key Prediction Factors

What the model weighted most in this prediction

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

Model Confidence

53%

Sydney Swans predicted to win by 9 points

Predicted total: 159 · Line: -8.6

Player Work Effort

Per-minute effort vs effectiveness (vs personal average)

Team Effort

+0.01

Team Effectiveness

-0.12

4
Elite
6
Hard Worker
5
Efficient
8
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.

1/3 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