AFL | Round 15

alphr.com.au

MCG • TUESDAY 24 FEB, 10:45 PM

AI Game Review

Our model correctly predicted North Melbourne to win at 53% probability. The margin model missed here, predicting 13.7 but the actual margin was 11 points. The game's 157 points came in 17 points lower than the predicted 174. The model went 1/3 on this match.

Model vs actual outcomes • Post-match analysis

Quarter-by-Quarter Win Probability

AI Win Probability

53%North MelbourneFavourite

Carlton

47%

North Melbourne

53%

AI Match Overview

This shapes up as one of the tightest matchups of the round. Our model gives North Melbourne a marginal 53% edge, making this essentially a coin-flip contest. Carlton are stronger on paper across 5 of 7 key factors, including ELO Difference, Midfield ELO and Forward Line ELO, but North Melbourne counter with overall balance which tips the scales. Carlton carry a 97-point ELO rating advantage (1564 vs 1467). Recent form favours North Melbourne with 4 wins from their last 5 compared to 1 for Carlton. The margin model predicts Carlton by 13.7 points with a combined total of 174.

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

North Melbourne to Win @4.15

Winner ✓

Edge

+29.4%

Line / Spread

Carlton -24.5 @1.91

Lost ✗

Edge

+29.4%

Total Points

Over 166.5 @1.91

Lost ✗

Edge

+2.6%

Form & History

TeamLast 5Avg Pts
Carlton
W
L
L
L
L
81.1
North Melbourne
W
W
W
W
L
94.3

Avg Conceded

85.2

Carlton

70.9

North Melbourne

Avg Margin

24.5

Carlton

-6.7

North Melbourne

Disposals

373.9

Carlton

360.0

North Melbourne

Inside 50s

45.3

Carlton

53.1

North Melbourne

Prediction BreakdownPure Alpha Model

📊Team ELO Ratings

CAR
1564Overall1467
NOR
ELO difference: +97 in favour of Carlton

🏈Positional Matchups

Player ELO aggregated by position group, higher = stronger unit

1050Midfield1001
CAR +49
1047Forwards964
CAR +83
1082Defence920
CAR +161
1072Ruck922
CAR +150

📈Recent Form (Last 5)

CAR
Stat
NOR
1.3
Wins (Last 5)
4.0
81.1pts
Avg Score
94.3pts
85.2pts
Avg Conceded
70.9pts
24.5pts
Avg Margin
-6.7pts
373.9
Disposals
360.0
45.3
Inside 50s
53.1

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

Model Confidence

53%

North Melbourne predicted to win by 14 points

Predicted total: 174 · Line: +13.7

Player Work Effort

Per-minute effort vs effectiveness (vs personal average)

Team Effort

+0.11

Team Effectiveness

+0.28

9
Elite
3
Hard Worker
5
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.

1/3 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