Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 10 matches
L
W
L
L
L
W
W
D
W
W
16 of 30
6
league position
VS
10 games
Form · 10 matches
W
D
W
W
W
W
W
W
D
D
24 of 30
1
league position
Attack
Average per match in the sample
1.8
Goals
per match
1.4
3.0
Shots on target
per match
3.9
4.5
Corners
per match
4.4
Possession and passing
Average per match in the sample
49
Possession
% за матч
51
314
Accurate passes
per match
424
Discipline
Lower is better
12.4
Fouls
per match
9.9
1.5
Yellow cards
per match
0.9
Defense
Lower is better
1.3
Goals conceded
per match
1.1
Personal Meetings
VAA ahead
draws
KUP ahead
25.07.2026
KuPS
3 : 1
VPS
13.06.2026
VPS
1 : 1
KuPS
31.01.2026
KuPS
3 : 1
VPS
19.07.2025
VPS
1 : 1
KuPS
25.05.2025
KuPS
0 : 2
VPS
01.02.2025
KuPS
2 : 0
VPS
14.09.2024
KuPS
3 : 1
VPS
22.05.2024
VPS
1 : 3
KuPS
10.05.2024
KuPS
2 : 1
VPS
08.02.2024
KuPS
5 : 0
VPS
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 (1.6).
The away team concedes an average of 1.0 goals per match — fewer than the home team (1.6).
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.