AFL | Round 17

alphr.com.au

GABBA • TUESDAY 24 FEB, 10:45 PM

AI Game Review

Our model correctly predicted Brisbane Lions to win at 92% probability. The margin model was sharp, predicting Brisbane Lions by 29.3 vs the actual margin of 28 points. The game's 212 points came in 30 points higher than the predicted 182. Brisbane Lions led 62–41 at the break and pulled away in the second half to win by 28. A clean sweep, all 3 model picks hit for this match.

Model vs actual outcomes • Post-match analysis

Quarter-by-Quarter Win Probability

AI Win Probability

92%Brisbane LionsFavourite

Brisbane Lions

92%

Port Adelaide

8%

AI Match Overview

Brisbane Lions are clear favourites here at 92%, with our model expecting a comfortable victory over Port Adelaide. Port Adelaide 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. Port Adelaide carry a 45-point ELO rating advantage (1539 vs 1494). Recent form favours Port Adelaide with 4 wins from their last 5 compared to 2 for Brisbane Lions. The margin model predicts Brisbane Lions by 29.3 points with a combined total of 182.

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 @1.20

Winner ✓

Edge

+8.4%

Line / Spread

Brisbane Lions -26.5 @1.91

Winner ✓

Edge

+8.4%

Total Points

Over 169.5 @1.91

Winner ✓

Edge

+2.6%

Form & History

TeamLast 5Avg Pts
Brisbane Lions
W
W
L
L
L
95.0
Port Adelaide
W
W
W
W
L
102.1

Avg Conceded

87.0

Brisbane Lions

95.0

Port Adelaide

Avg Margin

6.1

Brisbane Lions

-7.8

Port Adelaide

Disposals

359.2

Brisbane Lions

332.7

Port Adelaide

Inside 50s

43.0

Brisbane Lions

50.6

Port Adelaide

Prediction BreakdownPure Alpha Model

ELO–Market Disagreement

Port Adelaide hold the ELO advantage (1539 vs 1494), but the market favours Brisbane Lions (@1.20).

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

📊Team ELO Ratings

BRI
1494Overall1539
POR
ELO difference: -45 in favour of Port Adelaide

🏈Positional Matchups

Player ELO aggregated by position group, higher = stronger unit

1046Midfield1095
POR +49
985Forwards1048
POR +62
969Defence1027
POR +57
942Ruck980
POR +38

📈Recent Form (Last 5)

BRI
Stat
POR
2.3
Wins (Last 5)
3.9
95.0pts
Avg Score
102.1pts
87.0pts
Avg Conceded
95.0pts
6.1pts
Avg Margin
-7.8pts
359.2
Disposals
332.7
43.0
Inside 50s
50.6

🔑Key Prediction Factors

What the model weighted most in this prediction

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

Model Confidence

92%

Brisbane Lions predicted to win by 29 points

Predicted total: 182 · Line: +29.3

Player Work Effort

Per-minute effort vs effectiveness (vs personal average)

Team Effort

-0.52

Team Effectiveness

+0.02

3
Elite
4
Hard Worker
11
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.

3/3 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