AFL | Round 3

alphr.com.au

GABBA • TUESDAY 24 FEB, 10:45 PM

AI Game Review

Our model correctly predicted Brisbane Lions to win at 74% probability. The margin model was sharp, predicting Brisbane Lions by 9.0 vs the actual margin of 9 points. The game's 131 points came in 33 points lower than the predicted 164. Brisbane Lions trailed 22–48 at half-time before staging a second-half comeback to win 70–61. 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

74%Brisbane LionsFavourite

Brisbane Lions

74%

Geelong Cats

26%

AI Match Overview

Brisbane Lions are clear favourites here at 74%, with our model expecting a comfortable victory over Geelong Cats. The model sees Brisbane Lions ahead on 4 of 7 key factors including Midfield ELO, Recent Win Rate and Forward Line ELO. Recent form favours Brisbane Lions with 2 wins from their last 5 compared to 1 for Geelong Cats. The margin model predicts Brisbane Lions by 9.0 points with a combined total of 164.

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 @1.44

Winner ✓

Edge

+4.1%

Line / Spread

Brisbane Lions -14.5 @1.91

Winner ✓

Edge

+4.1%

Total Points

Over 160.5 @1.91

Lost ✗

Edge

+2.6%

Form & History

TeamLast 5Avg Pts
Brisbane Lions
W
W
L
L
L
91.5
Geelong Cats
W
L
L
L
L
104.6

Avg Conceded

82.4

Brisbane Lions

80.2

Geelong Cats

Avg Margin

1.0

Brisbane Lions

18.1

Geelong Cats

Disposals

342.2

Brisbane Lions

363.7

Geelong Cats

Inside 50s

49.1

Brisbane Lions

56.5

Geelong Cats

H2H History (Last 5)Brisbane Lions lead 3-2
May 2026BRI 76 - 117 GEE
Sep 2025BRI 122 - 75 GEE
Sep 2025BRI 74 - 112 GEE
Jun 2025BRI 92 - 51 GEE
Sep 2024BRI 95 - 85 GEE
Prediction BreakdownPure Alpha Model

ELO–Market Disagreement

Geelong Cats hold the ELO advantage (1509 vs 1489), but the market favours Brisbane Lions (@1.44).

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

📊Team ELO Ratings

BRI
1489Overall1509
GEE
ELO difference: -20 in favour of Geelong Cats

🏈Positional Matchups

Player ELO aggregated by position group, higher = stronger unit

1031Midfield968
BRI +63
1033Forwards995
BRI +38
950Defence1067
GEE +117
945Ruck950
Even

📈Recent Form (Last 5)

BRI
Stat
GEE
2.4
Wins (Last 5)
1.1
91.5pts
Avg Score
104.6pts
82.4pts
Avg Conceded
80.2pts
1.0pts
Avg Margin
18.1pts
342.2
Disposals
363.7
49.1
Inside 50s
56.5

🔑Key Prediction Factors

What the model weighted most in this prediction

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

Model Confidence

74%

Brisbane Lions predicted to win by 9 points

Predicted total: 164 · Line: +9.0

Player Work Effort

Per-minute effort vs effectiveness (vs personal average)

Team Effort

+0.07

Team Effectiveness

-0.34

4
Elite
7
Hard Worker
3
Efficient
9
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