AFL | Round 4

alphr.com.au

MCG • TUESDAY 24 FEB, 10:45 PM

AI Game Review

Our model correctly predicted Collingwood to win at 64% probability. The predicted margin of 25.8 was reasonable against the actual 17-point result. The game's 109 points came in 41 points lower than the predicted 150. Collingwood trailed 25–29 at half-time before staging a second-half comeback to win 63–46. 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

64%CollingwoodFavourite

Collingwood

64%

Carlton

36%

AI Match Overview

Collingwood hold the advantage at 64% win probability, though Carlton are far from out of this at 36%. Carlton are stronger on paper across 4 of 7 key factors, including ELO Difference, Midfield ELO and Forward Line ELO, but Collingwood counter with Recent Win Rate and Venue Advantage which tips the scales. Carlton carry a 54-point ELO rating advantage (1579 vs 1525). Recent form favours Carlton with 3 wins from their last 5 compared to 2 for Collingwood. The margin model predicts Collingwood by 25.8 points with a combined total of 150.

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

Collingwood to Win @1.42

Winner ✓

Edge

-6.7%

Line / Spread

Collingwood -14.5 @1.91

Winner ✓

Edge

-6.7%

Total Points

Under 166.5 @1.91

Winner ✓

Edge

+2.6%

Form & History

TeamLast 5Avg Pts
Collingwood
W
W
L
L
L
106.4
Carlton
W
W
W
L
L
100.5

Avg Conceded

71.8

Collingwood

75.5

Carlton

Avg Margin

4.4

Collingwood

27.9

Carlton

Disposals

375.4

Collingwood

360.7

Carlton

Inside 50s

52.2

Collingwood

55.2

Carlton

Prediction BreakdownPure Alpha Model

ELO–Market Disagreement

Carlton hold the ELO advantage (1579 vs 1525), but the market favours Collingwood (@1.42).

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

📊Team ELO Ratings

COL
1525Overall1579
CAR
ELO difference: -54 in favour of Carlton

🏈Positional Matchups

Player ELO aggregated by position group, higher = stronger unit

1084Midfield1138
CAR +53
997Forwards1020
CAR +23
995Defence1040
CAR +45
1040Ruck1101
CAR +61

📈Recent Form (Last 5)

COL
Stat
CAR
2.2
Wins (Last 5)
3.3
106.4pts
Avg Score
100.5pts
71.8pts
Avg Conceded
75.5pts
4.4pts
Avg Margin
27.9pts
375.4
Disposals
360.7
52.2
Inside 50s
55.2

🔑Key Prediction Factors

What the model weighted most in this prediction

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

Model Confidence

64%

Collingwood predicted to win by 26 points

Predicted total: 150 · Line: +25.8

Player Work Effort

Per-minute effort vs effectiveness (vs personal average)

Team Effort

+0.28

Team Effectiveness

-0.19

6
Elite
8
Hard Worker
3
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.

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