Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 10 matches
D
L
L
D
W
W
W
D
D
D
14 of 30
5
league position
VS
8 games
Form · 10 matches
L
D
L
W
W
W
W
D
L
L
14 of 30
6
league position
Attack
Average per match in the sample
2.2
Goals
per match
1.4
6.0
Shots on target
per match
0.0
3.7
Corners
per match
0.0
Possession and passing
Average per match in the sample
50
Possession
% за матч
0
379
Accurate passes
per match
0
Discipline
Lower is better
12.0
Fouls
per match
0.0
2.0
Yellow cards
per match
0.0
Defense
Lower is better
1.3
Goals conceded
per match
1.5
Personal Meetings
LJU ahead
draws
OLY ahead
31.08.2025
Ljungskile SK
4 : 1
Olympic
01.06.2025
Olympic
1 : 1
Ljungskile SK
10.11.2024
Olympic
4 : 1
Ljungskile SK
23.06.2024
Ljungskile SK
0 : 1
Olympic
16.09.2023
Ljungskile SK
2 : 2
Olympic
17.06.2023
Olympic
2 : 2
Ljungskile SK
22.10.2022
Olympic
3 : 3
Ljungskile SK
31.07.2022
Ljungskile SK
1 : 0
Olympic
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The home team scores an average of 1.7 goals per match — more than the opponent (1.6).
The home team concedes an average of 1.3 goals per match — fewer than the opponent (1.4).
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.