AFL | Round 4

alphr.com.au

PEOPLE FIRST STADIUM • TUESDAY 24 FEB, 10:45 PM

AI Game Review

Our model correctly predicted Gold Coast SUNS to win at 51% probability. The predicted margin of 5.5 was reasonable against the actual 1-point result. The game's 181 points came in 18 points higher than the predicted 163. Gold Coast SUNS trailed 39–40 at half-time before staging a second-half comeback to win 91–90. The model went 2/3 on this match. The under 183.5 total call was correct.

Model vs actual outcomes • Post-match analysis

Quarter-by-Quarter Win Probability

AI Win Probability

51%Gold Coast SUNSFavourite

Gold Coast SUNS

51%

Adelaide Crows

49%

AI Match Overview

This shapes up as one of the tightest matchups of the round. Our model gives Gold Coast SUNS a marginal 51% edge, making this essentially a coin-flip contest. Adelaide Crows are stronger on paper across 5 of 7 key factors — including ELO Difference, Forward Line ELO and Defensive ELO — but Gold Coast SUNS counter with Midfield ELO and Recent Win Rate which tips the scales. Adelaide Crows carry a 97-point ELO rating advantage (1643 vs 1546). Recent form favours Gold Coast SUNS with 4 wins from their last 5 compared to 3 for Adelaide Crows. The margin model predicts Adelaide Crows by 5.5 points with a combined total of 163.

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

Gold Coast SUNS to Win @1.75

Winner ✓

Edge

-6.4%

Line / Spread

Adelaide Crows -4.5 @1.91

Lost ✗

Edge

-6.4%

Total Points

Under 183.5 @1.91

Winner ✓

Edge

+2.6%

Form & History

TeamLast 5Avg Pts
Gold Coast SUNS
WWWWL
100.0
Adelaide Crows
WWWLL
111.6

Avg Conceded

76.0

Gold Coast SUNS

90.2

Adelaide Crows

Avg Margin

24.0

Gold Coast SUNS

21.4

Adelaide Crows

Disposals

358.8

Gold Coast SUNS

374.2

Adelaide Crows

Inside 50s

50.0

Gold Coast SUNS

50.0

Adelaide Crows

H2H History (Last 5)Gold Coast SUNS lead 3-2
Jul 2025GCS 46 - 107 ADE
Mar 2024GCS 60 - 54 ADE
Aug 2023GCS 61 - 89 ADE
May 2023GCS 112 - 87 ADE
Jun 2022GCS 116 - 73 ADE
Prediction BreakdownPure Alpha Model

ELO–Market Disagreement

Adelaide Crows hold the ELO advantage (1643 vs 1546), but the market favours Gold Coast SUNS (@1.75).

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

📊Team ELO Ratings

GCS
1546Overall1643
ADE
ELO difference: -97 in favour of Adelaide Crows

🏈Positional Matchups

Player ELO aggregated by position group — higher = stronger unit

1327Midfield1190
Best: 1327GCS +137Best: 1266
1155Forwards1258
Best: 1404ADE +104Best: 1509
1164Defence1190
Best: 1317ADE +25Best: 1382
1287Ruck1237
Best: 1287GCS +50Best: 1237

📈Recent Form (Last 5)

GCS
Stat
ADE
4.0
Wins (Last 5)
3.0
100.0pts
Avg Score
111.6pts
76.0pts
Avg Conceded
90.2pts
24.0pts
Avg Margin
21.4pts
358.8
Disposals
374.2
50.0
Inside 50s
50.0
56.0
Tackles
60.0
40.2
Clearances
40.6

🔑Key Prediction Factors

What the model weighted most in this prediction

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

Model Confidence

51%

Gold Coast SUNS predicted to win by 5 points

Predicted total: 163 · Line: -5.5

Player Work Effort

Per-minute effort vs effectiveness (vs personal average)

Team Effort

+0.16

Team Effectiveness

-0.04

2
Elite
10
Hard Worker
7
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