AFL | Round 19

alphr.com.au

GABBA • TUESDAY 24 FEB, 10:45 PM

AI Game Review

Our model correctly predicted Brisbane Lions to win at 58% probability. The predicted margin of 2.0 was reasonable against the actual 10-point result. Total score prediction of 165 was close to the actual 162 — within 3 points. The model went 2/3 on this match. The under 165.5 total call was correct.

Model vs actual outcomes • Post-match analysis

Quarter-by-Quarter Win Probability

AI Win Probability

58%Brisbane LionsFavourite

Brisbane Lions

58%

Western Bulldogs

42%

AI Match Overview

Brisbane Lions hold the advantage at 58% win probability, though Western Bulldogs are far from out of this at 42%. The model sees Brisbane Lions ahead on 4 of 7 key factors including ELO Difference, Forward Line ELO and Defensive ELO. Brisbane Lions carry a 83-point ELO rating advantage (1769 vs 1686). Recent form favours Western Bulldogs with 4 wins from their last 5 compared to 3 for Brisbane Lions. The margin model predicts Western Bulldogs by 2.0 points with a combined total of 165.

Generated from model features • Pre-kick-off analysis

Edge Analysis

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

H2H Recommendation

Brisbane Lions to Win @1.65

Winner ✓

Edge

-2.8%

Line / Spread

Western Bulldogs -7.5 @1.91

Lost ✗

Edge

-2.8%

Total Points

Under 165.5 @1.91

Winner ✓

Edge

+2.6%

Form & History

TeamLast 5Avg Pts
Brisbane Lions
WWWLL
94.8
Western Bulldogs
WWWWL
120.8

Avg Conceded

76.8

Brisbane Lions

81.2

Western Bulldogs

Avg Margin

18.0

Brisbane Lions

39.6

Western Bulldogs

Disposals

362.8

Brisbane Lions

373.8

Western Bulldogs

Inside 50s

50.0

Brisbane Lions

50.0

Western Bulldogs

H2H History (Last 5)Brisbane Lions lead 3-2
Feb 2026BRI 106 - 111 WBD
Apr 2025BRI 118 - 97 WBD
Jun 2024BRI 114 - 71 WBD
Mar 2023BRI 53 - 67 WBD
Jun 2022BRI 108 - 67 WBD
Prediction BreakdownPure Alpha Model

📊Team ELO Ratings

BRI
1769Overall1686
WBD
ELO difference: +83 in favour of Brisbane Lions

🏈Positional Matchups

Player ELO aggregated by position group — higher = stronger unit

1243Midfield1245
Best: 1377EvenBest: 1294
1214Forwards1015
Best: 1306BRI +198Best: 1301
1232Defence1152
Best: 1507BRI +81Best: 1260
1038Ruck1432
Best: 1076WBD +394Best: 1432

📈Recent Form (Last 5)

BRI
Stat
WBD
3.0
Wins (Last 5)
4.0
94.8pts
Avg Score
120.8pts
76.8pts
Avg Conceded
81.2pts
18.0pts
Avg Margin
39.6pts
362.8
Disposals
373.8
50.0
Inside 50s
50.0
51.2
Tackles
54.2
38.8
Clearances
38.2

🔑Key Prediction Factors

What the model weighted most in this prediction

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

Model Confidence

58%

Brisbane Lions predicted to win by 2 points

Predicted total: 165 · Line: -2.0

Player Work Effort

Per-minute effort vs effectiveness (vs personal average)

Team Effort

+0.17

Team Effectiveness

-0.12

7
Elite
7
Hard Worker
2
Efficient
6
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