AFL | Round 11

alphr.com.au

MCG • TUESDAY 24 FEB, 10:45 PM

AI Game Review

Our model correctly predicted Brisbane Lions to win at 61% probability. The margin model missed here — predicting 0.2 but the actual margin was 33 points. Brisbane Lions led 34–57 at the break and pulled away in the second half to win by 33. The model went 2/3 on this match. The under 174.5 total call was correct.

Model vs actual outcomes • Post-match analysis

Quarter-by-Quarter Win Probability

AI Win Probability

61%Brisbane LionsFavourite

Hawthorn

39%

Brisbane Lions

61%

AI Match Overview

Brisbane Lions hold the advantage at 61% win probability, though Hawthorn are far from out of this at 39%. Both sides are evenly matched across the key prediction factors, which explains the tight margin between them. Recent form favours Hawthorn with 3 wins from their last 5 compared to 2 for Brisbane Lions.

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

Brisbane Lions to Win @2.80

Winner ✓

Edge

+25.2%

Line / Spread

Hawthorn -13.5 @1.91

Lost ✗

Edge

+25.2%

Total Points

Under 174.5 @1.91

Winner ✓

Edge

+2.6%

Form & History

TeamLast 5Avg Pts
Hawthorn
WWWLL
99.8
Brisbane Lions
WWLLL
79.2

Avg Conceded

72.8

Hawthorn

79.4

Brisbane Lions

Avg Margin

27.0

Hawthorn

-0.2

Brisbane Lions

Disposals

381.8

Hawthorn

370.6

Brisbane Lions

Inside 50s

50.0

Hawthorn

50.0

Brisbane Lions

Prediction BreakdownPure Alpha Model

ELO–Market Disagreement

Brisbane Lions hold the ELO advantage (1661 vs 1646), but the market favours Hawthorn (@1.56).

The model sides with ELO — Brisbane Lions predicted to win despite longer odds.

📊Team ELO Ratings

HAW
1646Overall1661
BRI
ELO difference: -15 in favour of Brisbane Lions

🏈Positional Matchups

Player ELO aggregated by position group — higher = stronger unit

1192Midfield1247
Best: 1246BRI +55Best: 1296
1227Forwards1008
Best: 1369HAW +219Best: 1295
1199Defence1243
Best: 1298BRI +43Best: 1425
1018Ruck1063
Best: 1018BRI +45Best: 1063

📈Recent Form (Last 5)

HAW
Stat
BRI
3.0
Wins (Last 5)
2.0
99.8pts
Avg Score
79.2pts
72.8pts
Avg Conceded
79.4pts
27.0pts
Avg Margin
-0.2pts
381.8
Disposals
370.6
50.0
Inside 50s
50.0
62.0
Tackles
51.4
34.0
Clearances
39.2

🔑Key Prediction Factors

What the model weighted most in this prediction

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

Model Confidence

61%

Brisbane Lions predicted to win by 0 points

Predicted total: 164 · Line: +0.2

Player Work Effort

Per-minute effort vs effectiveness (vs personal average)

Team Effort

-0.41

Team Effectiveness

-0.07

0
Elite
4
Hard Worker
9
Efficient
10
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.

2/3 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