AFL | Round 5

alphr.com.au

BAROSSA PARK • TUESDAY 24 FEB, 10:45 PM

AI Game Review

Our model correctly predicted Gold Coast SUNS to win at 92% probability. The margin model missed here — predicting 30.3 but the actual margin was 52 points. The game's 230 points came in 58 points higher than the predicted 172. Gold Coast SUNS led 51–59 at the break and pulled away in the second half to win by 52. 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

92%Gold Coast SUNSFavourite

North Melbourne

8%

Gold Coast SUNS

92%

AI Match Overview

Gold Coast SUNS are clear favourites here at 92%, with our model expecting a comfortable victory over North Melbourne. Both sides are evenly matched across the key prediction factors, which explains the tight margin between them. Gold Coast SUNS carry a 265-point ELO rating advantage (1571 vs 1306). Recent form favours Gold Coast SUNS with 4 wins from their last 5 compared to 1 for North Melbourne. The margin model predicts Gold Coast SUNS by 30.3 points with a combined total of 172.

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

Gold Coast SUNS to Win @1.22

Winner ✓

Edge

+10.2%

Line / Spread

Gold Coast SUNS +26.5 @1.91

Winner ✓

Edge

+10.2%

Total Points

Under 180.5 @1.91

Lost ✗

Edge

+2.6%

Form & History

TeamLast 5Avg Pts
North Melbourne
WLLLL
79.6
Gold Coast SUNS
WWWWL
100.8

Avg Conceded

116.0

North Melbourne

76.8

Gold Coast SUNS

Avg Margin

-36.4

North Melbourne

24.0

Gold Coast SUNS

Disposals

365.8

North Melbourne

351.2

Gold Coast SUNS

Inside 50s

50.0

North Melbourne

50.0

Gold Coast SUNS

Prediction BreakdownPure Alpha Model

📊Team ELO Ratings

NOR
1306Overall1571
GCS
ELO difference: -265 in favour of Gold Coast SUNS

🏈Positional Matchups

Player ELO aggregated by position group — higher = stronger unit

1258Midfield1178
Best: 1258NOR +80Best: 1178
1142Forwards1101
Best: 1378NOR +41Best: 1314
1221Defence1211
Best: 1345NOR +11Best: 1388
1184Ruck1295
Best: 1184GCS +111Best: 1295

📈Recent Form (Last 5)

NOR
Stat
GCS
1.0
Wins (Last 5)
4.0
79.6pts
Avg Score
100.8pts
116.0pts
Avg Conceded
76.8pts
-36.4pts
Avg Margin
24.0pts
365.8
Disposals
351.2
50.0
Inside 50s
50.0
56.4
Tackles
60.2
37.6
Clearances
39.8

🔑Key Prediction Factors

What the model weighted most in this prediction

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

Model Confidence

92%

Gold Coast SUNS predicted to win by 30 points

Predicted total: 172 · Line: -30.3

Player Work Effort

Per-minute effort vs effectiveness (vs personal average)

Team Effort

-0.20

Team Effectiveness

+0.07

3
Elite
3
Hard Worker
11
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.

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