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
L
W
D
L
D
L
W
L
L
L
8 of 30
1
league position
Attack
Average per match in the sample
2.1
Goals
per match
1.1
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
0.5
Goals conceded
per match
1.4
Personal Meetings
SUD ahead
draws
PAN ahead
29.06.2026
Panevėžys
1 : 2
Suduva Marijampole
25.04.2026
Suduva Marijampole
1 : 0
Panevėžys
22.02.2026
Panevėžys
0 : 0
Suduva Marijampole
16.09.2025
Suduva Marijampole
0 : 2
Panevėžys
12.09.2025
Suduva Marijampole
1 : 1
Panevėžys
07.07.2025
Panevėžys
1 : 2
Suduva Marijampole
04.05.2025
Suduva Marijampole
0 : 0
Panevėžys
16.03.2025
Panevėžys
2 : 0
Suduva Marijampole
01.09.2024
Panevėžys
0 : 0
Suduva Marijampole
26.06.2024
Suduva Marijampole
1 : 3
Panevėžys
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The away team scores an average of 1.8 goals per match — more than the home team (0.8).
The away team concedes an average of 0.4 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.