AFL | Round 17

alphr.com.au

MCG • TUESDAY 24 FEB, 10:45 PM

AI Game Review

Our model correctly predicted Collingwood to win at 62% probability. The margin model missed here, predicting 32.2 but the actual margin was 56 points. The game's 174 points came in 16 points higher than the predicted 158. Collingwood led 29–53 at the break and pulled away in the second half to win by 56. The model went 2/3 on this match. The 1-39 margin band call landed.

Model vs actual outcomes • Post-match analysis

Quarter-by-Quarter Win Probability

AI Win Probability

62%CollingwoodFavourite

Carlton

38%

Collingwood

62%

AI Match Overview

Collingwood hold the advantage at 62% win probability, though Carlton are far from out of this at 38%. Carlton are stronger on paper across 5 of 7 key factors, including ELO Difference, Midfield ELO and Forward Line ELO, but Collingwood counter with Recent Win Rate which tips the scales. Carlton carry a 70-point ELO rating advantage (1597 vs 1527). Recent form favours Collingwood with 3 wins from their last 5 compared to 1 for Carlton. The margin model predicts Collingwood by 32.2 points with a combined total of 158.

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 @1.22

Winner ✓

Edge

-20.4%

Line / Spread

Collingwood +27.5 @1.91

Winner ✓

Edge

-20.4%

Total Points

Under 161.5 @1.91

Lost ✗

Edge

+2.6%

Form & History

TeamLast 5Avg Pts
Carlton
W
L
L
L
L
98.3
Collingwood
W
W
W
L
L
109.9

Avg Conceded

72.5

Carlton

71.7

Collingwood

Avg Margin

14.7

Carlton

25.3

Collingwood

Disposals

374.3

Carlton

379.0

Collingwood

Inside 50s

56.1

Carlton

55.0

Collingwood

Prediction BreakdownPure Alpha Model

ELO–Market Disagreement

Carlton hold the ELO advantage (1597 vs 1527), but the market favours Collingwood (@1.22).

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

📊Team ELO Ratings

CAR
1597Overall1527
COL
ELO difference: +70 in favour of Carlton

🏈Positional Matchups

Player ELO aggregated by position group, higher = stronger unit

1148Midfield1084
CAR +64
1085Forwards1069
CAR +16
1076Defence1051
CAR +25
1071Ruck1055
CAR +16

📈Recent Form (Last 5)

CAR
Stat
COL
1.3
Wins (Last 5)
3.4
98.3pts
Avg Score
109.9pts
72.5pts
Avg Conceded
71.7pts
14.7pts
Avg Margin
25.3pts
374.3
Disposals
379.0
56.1
Inside 50s
55.0

🔑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%
Carlton
7
H2H History6.0%

Model Confidence

62%

Collingwood predicted to win by 32 points

Predicted total: 158 · Line: -32.2

Player Work Effort

Per-minute effort vs effectiveness (vs personal average)

Team Effort

-0.16

Team Effectiveness

-0.01

3
Elite
8
Hard Worker
8
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.

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