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 · 5 matches
W
D
L
W
D
8 of 15
5
league position
Attack
Average per match in the sample
1.8
Goals
per match
1.7
3.0
Shots on target
per match
3.4
4.5
Corners
per match
5.7
Possession and passing
Average per match in the sample
49
Possession
% за матч
44
314
Accurate passes
per match
255
Discipline
Lower is better
12.4
Fouls
per match
9.1
1.5
Yellow cards
per match
2.0
Defense
Lower is better
1.3
Goals conceded
per match
1.3
Personal Meetings
VPS ahead
draws
HAK ahead
26.05.2026
VPS
4 : 0
Haka
27.03.2026
VPS
1 : 1
Haka
26.09.2025
VPS
1 : 0
Haka
02.07.2025
VPS
1 : 2
Haka
31.05.2025
Haka
2 : 1
VPS
19.10.2024
Haka
2 : 3
VPS
18.08.2024
VPS
3 : 2
Haka
06.04.2024
Haka
1 : 2
VPS
24.02.2024
VPS
0 : 1
Haka
23.07.2023
VPS
4 : 1
Haka
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The away team scores an average of 1.6 goals per match — more than the home team (1.6).
The away team concedes an average of 1.5 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.