Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 10 matches
W
W
W
D
W
W
W
D
W
W
26 of 30
7
league position
VS
10 games
Form · 10 matches
W
L
W
L
W
W
W
W
D
D
20 of 30
6
league position
Attack
Average per match in the sample
1.5
Goals
per match
1.4
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
1.0
Goals conceded
per match
1.0
Personal Meetings
SUD ahead
draws
BAN ahead
09.08.2026
Banga
0 : 3
Suduva Marijampole
13.06.2026
Suduva Marijampole
0 : 0
Banga
21.09.2025
Banga
0 : 1
Suduva Marijampole
17.08.2025
Suduva Marijampole
2 : 1
Banga
11.05.2025
Banga
0 : 1
Suduva Marijampole
09.03.2025
Suduva Marijampole
1 : 0
Banga
27.10.2024
Suduva Marijampole
2 : 0
Banga
02.08.2024
Banga
1 : 0
Suduva Marijampole
01.06.2024
Suduva Marijampole
1 : 0
Banga
10.04.2024
Banga
0 : 0
Suduva Marijampole
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The home team scores an average of 0.8 goals per match — more than the opponent (0.6).
The away team concedes an average of 1.4 goals per match — fewer than the home team (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.