Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 5 matches
L
D
W
D
D
6 of 15
5
league position
VS
9 games
Form · 5 matches
W
L
D
D
W
8 of 15
4
league position
Attack
Average per match in the sample
2.2
Goals
per match
1.6
2.0
Shots on target
per match
5.0
2.0
Corners
per match
7.5
Possession and passing
Average per match in the sample
62
Possession
% за матч
47
315
Accurate passes
per match
305
Discipline
Lower is better
8.0
Fouls
per match
7.0
1.0
Yellow cards
per match
0.5
Defense
Lower is better
1.0
Goals conceded
per match
0.4
Personal Meetings
SYD ahead
draws
MEL ahead
02.05.2026
Melbourne Victory
0 : 1
Sydney
07.03.2026
Sydney
2 : 2
Melbourne Victory
26.01.2026
Melbourne Victory
4 : 0
Sydney
22.11.2025
Sydney
3 : 0
Melbourne Victory
24.01.2025
Melbourne Victory
2 : 0
Sydney
28.12.2024
Sydney
3 : 0
Melbourne Victory
26.01.2024
Melbourne Victory
1 : 1
Sydney
16.12.2023
Melbourne Victory
3 : 0
Sydney
21.10.2023
Sydney
0 : 2
Melbourne Victory
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The away team scores an average of 1.7 goals per match — more than the home team (1.3).
The home team concedes an average of 1.0 goals per match — fewer than the opponent (1.3).
Estimate — a statistical Poisson model based on average goals, not an AI-model prediction.
This is not an AI model prediction — it's a simple statistical estimate based on average figures, without accounting for lineups, injuries or opponents' form.