Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 7 matches
L
L
L
L
L
D
W
4 of 21
7
league position
VS
10 games
Form · 10 matches
L
L
L
D
L
L
L
L
W
W
7 of 30
12
league position
Attack
Average per match in the sample
1.7
Goals
per match
1.3
4.4
Shots on target
per match
4.9
4.2
Corners
per match
5.7
Possession and passing
Average per match in the sample
52
Possession
% за матч
50
283
Accurate passes
per match
313
Discipline
Lower is better
11.4
Fouls
per match
10.8
3.3
Yellow cards
per match
2.9
Defense
Lower is better
1.8
Goals conceded
per match
2.0
Personal Meetings
BLO ahead
draws
UNI ahead
05.05.2026
Universitario de Vinto
1 : 1
Blooming
16.11.2025
Blooming
3 : 1
Universitario de Vinto
13.11.2025
Universitario de Vinto
0 : 0
Blooming
24.08.2025
Blooming
1 : 0
Universitario de Vinto
12.04.2025
Universitario de Vinto
1 : 2
Blooming
27.11.2024
Blooming
1 : 0
Universitario de Vinto
01.08.2024
Universitario de Vinto
1 : 0
Blooming
28.10.2023
Universitario de Vinto
2 : 1
Blooming
24.07.2023
Universitario de Vinto
1 : 0
Blooming
13.07.2023
Blooming
2 : 1
Universitario de Vinto
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The home team scores an average of 1.2 goals per match — more than the opponent (1.2).
The home team concedes an average of 1.4 goals per match — fewer than the opponent (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.