Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 5 matches
L
L
D
D
W
5 of 15
8
league position
VS
10 games
Form · 2 matches
L
W
3 of 6
2
league position
Attack
Average per match in the sample
1.7
Goals
per match
1.3
4.5
Shots on target
per match
2.0
2.8
Corners
per match
3.0
Possession and passing
Average per match in the sample
43
Possession
% за матч
50
210
Accurate passes
per match
305
Discipline
Lower is better
14.8
Fouls
per match
11.0
2.8
Yellow cards
per match
2.5
Defense
Lower is better
3.0
Goals conceded
per match
1.2
Personal Meetings
WIL ahead
draws
STR ahead
14.12.2025
The Strongest
6 : 0
Jorge Wilstermann
26.10.2025
Jorge Wilstermann
2 : 5
The Strongest
12.10.2025
The Strongest
1 : 1
Jorge Wilstermann
20.07.2025
Jorge Wilstermann
1 : 2
The Strongest
22.11.2024
The Strongest
2 : 1
Jorge Wilstermann
19.05.2024
Jorge Wilstermann
0 : 0
The Strongest
10.12.2023
The Strongest
0 : 2
Jorge Wilstermann
02.12.2023
Jorge Wilstermann
1 : 1
The Strongest
30.11.2023
Jorge Wilstermann
1 : 2
The Strongest
04.06.2023
The Strongest
1 : 0
Jorge Wilstermann
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The away team scores an average of 2.1 goals per match — more than the home team (1.2).
The home team concedes an average of 1.0 goals per match — fewer than the opponent (1.1).
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.