AFL | Round 1

alphr.com.au

ADELAIDE OVAL • TUESDAY 24 FEB, 10:45 PM

AI Game Review

Our model correctly predicted Adelaide Crows to win at 95% probability. The margin model missed here — predicting 41.6 but the actual margin was 63 points. The game's 207 points came in 31 points higher than the predicted 176. Adelaide Crows led 64–27 at the break and pulled away in the second half to win by 63. 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

95%Adelaide CrowsFavourite

Adelaide Crows

95%

St Kilda

5%

AI Match Overview

Adelaide Crows are clear favourites here at 95%, with our model expecting a comfortable victory over St Kilda. St Kilda are stronger on paper across 5 of 7 key factors — including ELO Difference, Recent Win Rate and Forward Line ELO — but Adelaide Crows counter with Midfield ELO and Venue Advantage which tips the scales. St Kilda carry a 26-point ELO rating advantage (1522 vs 1495). Recent form favours St Kilda with 4 wins from their last 5 compared to 1 for Adelaide Crows. The margin model predicts Adelaide Crows by 41.6 points with a combined total of 176.

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 @1.30

Winner ✓

Edge

+18.3%

Line / Spread

Adelaide Crows -21.5 @1.91

Winner ✓

Edge

+18.3%

Total Points

Over 160.5 @1.91

Winner ✓

Edge

+2.6%

Form & History

TeamLast 5Avg Pts
Adelaide Crows
WLLLL
80.4
St Kilda
WWWWL
85.8

Avg Conceded

97.4

Adelaide Crows

78.6

St Kilda

Avg Margin

-17.0

Adelaide Crows

7.2

St Kilda

Disposals

349.8

Adelaide Crows

377.8

St Kilda

Inside 50s

50.0

Adelaide Crows

50.0

St Kilda

Prediction BreakdownPure Alpha Model

ELO–Market Disagreement

St Kilda hold the ELO advantage (1522 vs 1495), but the market favours Adelaide Crows (@1.30).

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

📊Team ELO Ratings

ADE
1495Overall1522
STK
ELO difference: -26 in favour of St Kilda

🏈Positional Matchups

Player ELO aggregated by position group — higher = stronger unit

1169Midfield1028
Best: 1208ADE +141Best: 1094
1081Forwards1158
Best: 1218STK +78Best: 1265
1114Defence1133
Best: 1156STK +19Best: 1317
1175Ruck1182
Best: 1175EvenBest: 1365

📈Recent Form (Last 5)

ADE
Stat
STK
1.0
Wins (Last 5)
4.0
80.4pts
Avg Score
85.8pts
97.4pts
Avg Conceded
78.6pts
-17.0pts
Avg Margin
7.2pts
349.8
Disposals
377.8
50.0
Inside 50s
50.0
66.0
Tackles
52.0
36.0
Clearances
30.0

🔑Key Prediction Factors

What the model weighted most in this prediction

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

Model Confidence

95%

Adelaide Crows predicted to win by 42 points

Predicted total: 176 · Line: +41.6

Player Work Effort

Per-minute effort vs effectiveness (vs personal average)

Team Effort

-0.10

Team Effectiveness

+0.41

8
Elite
1
Hard Worker
11
Efficient
3
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