Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 10 matches
L
W
W
W
D
L
W
W
W
L
19 of 30
2
league position
VS
10 games
Form · 10 matches
W
W
W
D
W
W
W
D
W
W
26 of 30
7
league position
Attack
Average per match in the sample
1.8
Goals
per match
1.5
2.5
Shots on target
per match
0.0
3.5
Corners
per match
0.0
Possession and passing
Average per match in the sample
42
Possession
% за матч
0
0
Accurate passes
per match
0
Discipline
Lower is better
12.5
Fouls
per match
0.0
1.5
Yellow cards
per match
0.0
Defense
Lower is better
1.4
Goals conceded
per match
1.0
Personal Meetings
FK ahead
draws
SUD ahead
10.05.2026
Suduva Marijampole
1 : 1
FK Zalgiris Vilnius
10.03.2026
FK Zalgiris Vilnius
1 : 0
Suduva Marijampole
29.09.2025
Suduva Marijampole
1 : 3
FK Zalgiris Vilnius
07.08.2025
FK Zalgiris Vilnius
1 : 0
Suduva Marijampole
19.06.2025
Suduva Marijampole
2 : 2
FK Zalgiris Vilnius
16.04.2025
FK Zalgiris Vilnius
3 : 0
Suduva Marijampole
25.08.2024
Suduva Marijampole
1 : 1
FK Zalgiris Vilnius
23.06.2024
FK Zalgiris Vilnius
4 : 0
Suduva Marijampole
28.04.2024
Suduva Marijampole
1 : 1
FK Zalgiris Vilnius
10.03.2024
FK Zalgiris Vilnius
3 : 3
Suduva Marijampole
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The home team scores an average of 1.9 goals per match — more than the opponent (0.8).
The home team concedes an average of 0.8 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.