Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 10 matches
L
W
D
L
D
L
W
L
L
L
8 of 30
1
league position
VS
9 games
Form · 5 matches
L
W
W
L
D
7 of 15
5
league position
Attack
Average per match in the sample
1.1
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
1.4
Goals conceded
per match
1.4
Personal Meetings
PAN ahead
draws
TRA ahead
10.08.2026
TransINVEST Vilnius
0 : 2
Panevėžys
12.06.2026
Panevėžys
1 : 2
TransINVEST Vilnius
12.04.2026
TransINVEST Vilnius
1 : 2
Panevėžys
11.02.2026
Panevėžys
4 : 1
TransINVEST Vilnius
21.02.2025
Panevėžys
1 : 3
TransINVEST Vilnius
09.11.2024
TransINVEST Vilnius
0 : 0
Panevėžys
01.10.2024
Panevėžys
2 : 1
TransINVEST Vilnius
19.06.2024
TransINVEST Vilnius
3 : 0
Panevėžys
21.04.2024
Panevėžys
1 : 1
TransINVEST Vilnius
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The home team scores an average of 1.8 goals per match — more than the opponent (1.4).
The home team concedes an average of 0.4 goals per match — fewer than the opponent (1.3).
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.