Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 10 matches
L
L
W
L
L
D
L
W
D
D
9 of 30
4
league position
VS
7 games
Form · 10 matches
D
L
L
L
D
D
W
D
L
L
7 of 30
9
league position
Attack
Average per match in the sample
1.6
Goals
per match
1.3
0.0
Shots on target
per match
0.0
0.0
Corners
per match
0.0
Possession and passing
Average per match in the sample
0
Possession
% за матч
0
0
Accurate passes
per match
0
Discipline
Lower is better
0.0
Fouls
per match
0.0
0.0
Yellow cards
per match
0.0
Defense
Lower is better
1.9
Goals conceded
per match
1.7
Personal Meetings
GUT ahead
draws
KUN ahead
01.08.2026
Gute
4 : 1
Kungsängen
13.06.2026
Kungsängen
1 : 1
Gute
27.09.2025
Gute
0 : 1
Kungsängen
14.06.2025
Kungsängen
2 : 1
Gute
19.10.2024
Gute
5 : 0
Kungsängen
15.06.2024
Kungsängen
1 : 2
Gute
29.07.2023
Kungsängen
0 : 0
Gute
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The home team scores an average of 2.0 goals per match — more than the opponent (1.2).
The home team concedes an average of 1.4 goals per match — fewer than the opponent (1.7).
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.