AFL | Round 4

alphr.com.au

MCG • TUESDAY 24 FEB, 10:45 PM

AI Game Review

Our model correctly predicted Brisbane Lions to win at 93% probability. The margin model missed here, predicting 49.5 but the actual margin was 28 points. The game's 208 points came in 45 points higher than the predicted 163. The model went 2/3 on this match. The 40+ margin band call landed.

Model vs actual outcomes • Post-match analysis

Quarter-by-Quarter Win Probability

AI Win Probability

93%Brisbane LionsFavourite

Richmond

7%

Brisbane Lions

93%

AI Match Overview

Brisbane Lions are clear favourites here at 93%, with our model expecting a comfortable victory over Richmond. The model sees Brisbane Lions ahead on 4 of 7 key factors including Midfield ELO, Recent Win Rate and Forward Line ELO. Recent form favours Brisbane Lions with 4 wins from their last 5 compared to 2 for Richmond. The margin model predicts Brisbane Lions by 49.5 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

Brisbane Lions to Win @1.07

Winner ✓

Edge

-0.2%

Line / Spread

Brisbane Lions +47.5 @1.91

Winner ✓

Edge

-0.2%

Total Points

Under 178.5 @1.91

Lost ✗

Edge

+2.6%

Form & History

TeamLast 5Avg Pts
Richmond
W
W
L
L
L
87.4
Brisbane Lions
W
W
W
W
L
71.7

Avg Conceded

80.7

Richmond

66.8

Brisbane Lions

Avg Margin

9.5

Richmond

12.0

Brisbane Lions

Disposals

348.3

Richmond

343.7

Brisbane Lions

Inside 50s

48.1

Richmond

44.3

Brisbane Lions

Prediction BreakdownPure Alpha Model

ELO–Market Disagreement

Richmond hold the ELO advantage (1485 vs 1478), but the market favours Brisbane Lions (@1.07).

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

📊Team ELO Ratings

RIC
1485Overall1478
BRI
ELO difference: +7 in favour of Richmond

🏈Positional Matchups

Player ELO aggregated by position group, higher = stronger unit

998Midfield1023
BRI +25
955Forwards966
BRI +11
945Defence957
BRI +12
1027Ruck985
RIC +42

📈Recent Form (Last 5)

RIC
Stat
BRI
1.6
Wins (Last 5)
3.9
87.4pts
Avg Score
71.7pts
80.7pts
Avg Conceded
66.8pts
9.5pts
Avg Margin
12.0pts
348.3
Disposals
343.7
48.1
Inside 50s
44.3

🔑Key Prediction Factors

What the model weighted most in this prediction

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

Model Confidence

93%

Brisbane Lions predicted to win by 49 points

Predicted total: 163 · Line: -49.5

Player Work Effort

Per-minute effort vs effectiveness (vs personal average)

Team Effort

+0.01

Team Effectiveness

+0.18

7
Elite
4
Hard Worker
6
Efficient
5
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