AFL | Semi Finals

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Tue 24 Feb10:45pm
ADEADE
HAWHAW
Tue 24 Feb10:45pm
BRIBRI
GCSGCS
ADELAIDE OVAL • TUESDAY 24 FEB, 10:45 PM

AI Game Review

Hawthorn defied the model's 80% prediction for Adelaide Crows, a notable upset. The margin model missed here, predicting 10.7 but the actual margin was 34 points. Hawthorn led 24–43 at the break and pulled away in the second half to win by 34. The model went 1/3 on this match. The over 164.5 total call was correct.

Model vs actual outcomes • Post-match analysis

Quarter-by-Quarter Win Probability

AI Win Probability

80%Adelaide CrowsFavourite

Adelaide Crows

80%

Hawthorn

20%

AI Match Overview

Adelaide Crows are clear favourites here at 80%, 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 Adelaide Crows counter with Recent Win Rate and Venue Advantage which tips the scales. Hawthorn carry a 90-point ELO rating advantage (1566 vs 1476). Recent form favours Adelaide Crows with 4 wins from their last 5 compared to 3 for Hawthorn. The margin model predicts Adelaide Crows by 10.7 points with a combined total of 175.

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

Adelaide Crows to Win @1.75

Lost ✗

Edge

+23.0%

Line / Spread

Adelaide Crows -4.5 @1.91

Lost ✗

Edge

+23.0%

Total Points

Over 164.5 @1.91

Winner ✓

Edge

+2.6%

Form & History

TeamLast 5Avg Pts
Adelaide Crows
W
W
W
W
L
105.5
Hawthorn
W
W
W
L
L
85.4

Avg Conceded

71.6

Adelaide Crows

86.8

Hawthorn

Avg Margin

10.1

Adelaide Crows

28.1

Hawthorn

Disposals

369.9

Adelaide Crows

347.7

Hawthorn

Inside 50s

45.5

Adelaide Crows

42.3

Hawthorn

Prediction BreakdownPure Alpha Model

ELO–Market Disagreement

Hawthorn hold the ELO advantage (1566 vs 1476), but the market favours Adelaide Crows (@1.75).

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

📊Team ELO Ratings

ADE
1476Overall1566
HAW
ELO difference: -90 in favour of Hawthorn

🏈Positional Matchups

Player ELO aggregated by position group, higher = stronger unit

925Midfield1072
HAW +147
1001Forwards1015
HAW +14
972Defence1109
HAW +137
969Ruck1085
HAW +116

📈Recent Form (Last 5)

ADE
Stat
HAW
4.0
Wins (Last 5)
3.3
105.5pts
Avg Score
85.4pts
71.6pts
Avg Conceded
86.8pts
10.1pts
Avg Margin
28.1pts
369.9
Disposals
347.7
45.5
Inside 50s
42.3

🔑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%
Crows
4
Forward Line ELO9.0%
Hawthorn
5
Defensive ELO8.0%
Hawthorn
6
Venue Advantage7.0%
Crows
7
H2H History6.0%

Model Confidence

80%

Adelaide Crows predicted to win by 11 points

Predicted total: 175 · Line: +10.7

Player Work Effort

Per-minute effort vs effectiveness (vs personal average)

Team Effort

-0.21

Team Effectiveness

+0.01

4
Elite
2
Hard Worker
6
Efficient
11
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.

1/3 predictions correct
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AI-powered goal scorer predictions and player prop markets, built on our 6-model player stats engine.

First / Anytime / Last ScorerPlayer Props