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
8 games
Form · 10 matches
W
W
W
D
W
L
W
W
D
W
23 of 30
14
league position
Attack
Average per match in the sample
1.7
Goals
per match
1.9
4.4
Shots on target
per match
5.2
4.2
Corners
per match
4.1
Possession and passing
Average per match in the sample
52
Possession
% за матч
48
283
Accurate passes
per match
241
Discipline
Lower is better
11.4
Fouls
per match
11.9
3.3
Yellow cards
per match
2.4
Defense
Lower is better
1.8
Goals conceded
per match
1.9
Personal Meetings
BLO ahead
draws
GUA ahead
03.04.2026
Blooming
5 : 0
Guabirá
14.12.2025
Guabirá
1 : 0
Blooming
25.10.2025
Guabirá
3 : 2
Blooming
05.10.2025
Blooming
1 : 1
Guabirá
21.07.2025
Blooming
2 : 1
Guabirá
15.12.2024
Blooming
1 : 1
Guabirá
23.08.2024
Guabirá
4 : 2
Blooming
06.10.2023
Guabirá
2 : 1
Blooming
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 (1.8).
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.