AFL | Round 24

alphr.com.au

GABBA • TUESDAY 24 FEB, 10:45 PM

AI Game Review

Our model correctly predicted Brisbane Lions to win at 79% probability. The margin model was sharp, predicting Brisbane Lions by 11.5 vs the actual margin of 10 points. Total score prediction of 173 was close to the actual 168, within 5 points. The model went 2/3 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

79%Brisbane LionsFavourite

Brisbane Lions

79%

Hawthorn

21%

AI Match Overview

Brisbane Lions are clear favourites here at 79%, with our model expecting a comfortable victory over Hawthorn. Hawthorn are stronger on paper across 4 of 7 key factors, including ELO Difference, Midfield ELO and Forward Line ELO, but Brisbane Lions counter with Recent Win Rate and Venue Advantage which tips the scales. Hawthorn carry a 74-point ELO rating advantage (1545 vs 1472). Recent form favours Brisbane Lions with 4 wins from their last 5 compared to 3 for Hawthorn. The margin model predicts Brisbane Lions by 11.5 points with a combined total of 173.

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 @1.72

Winner ✓

Edge

+21.1%

Line / Spread

Brisbane Lions -5.5 @1.91

Winner ✓

Edge

+21.1%

Total Points

Over 169.5 @1.91

Lost ✗

Edge

+2.6%

Form & History

TeamLast 5Avg Pts
Brisbane Lions
W
W
W
W
L
90.8
Hawthorn
W
W
W
L
L
107.2

Avg Conceded

77.5

Brisbane Lions

89.0

Hawthorn

Avg Margin

2.5

Brisbane Lions

19.2

Hawthorn

Disposals

353.7

Brisbane Lions

336.2

Hawthorn

Inside 50s

52.9

Brisbane Lions

42.1

Hawthorn

Prediction BreakdownPure Alpha Model

ELO–Market Disagreement

Hawthorn hold the ELO advantage (1545 vs 1472), but the market favours Brisbane Lions (@1.72).

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

📊Team ELO Ratings

BRI
1472Overall1545
HAW
ELO difference: -74 in favour of Hawthorn

🏈Positional Matchups

Player ELO aggregated by position group, higher = stronger unit

939Midfield1014
HAW +75
913Forwards1032
HAW +118
980Defence991
HAW +11
980Ruck1068
HAW +88

📈Recent Form (Last 5)

BRI
Stat
HAW
3.7
Wins (Last 5)
2.5
90.8pts
Avg Score
107.2pts
77.5pts
Avg Conceded
89.0pts
2.5pts
Avg Margin
19.2pts
353.7
Disposals
336.2
52.9
Inside 50s
42.1

🔑Key Prediction Factors

What the model weighted most in this prediction

1
ELO Difference14.0%
Hawthorn
2
Midfield ELO11.0%
Hawthorn
3
Recent Win Rate10.0%
Lions
4
Forward Line ELO9.0%
Hawthorn
5
Defensive ELO8.0%
Hawthorn
6
Venue Advantage7.0%
Lions
7
H2H History6.0%

Model Confidence

79%

Brisbane Lions predicted to win by 12 points

Predicted total: 173 · Line: +11.5

Player Work Effort

Per-minute effort vs effectiveness (vs personal average)

Team Effort

+0.01

Team Effectiveness

+0.27

8
Elite
3
Hard Worker
7
Efficient
4
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