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
D
L
L
D
L
W
8 of 30
16
league position
VS
10 games
Form · 5 matches
L
W
D
L
D
5 of 15
4
league position
Attack
Average per match in the sample
0.8
Goals
per match
1.0
3.0
Shots on target
per match
3.3
4.2
Corners
per match
4.7
Possession and passing
Average per match in the sample
46
Possession
% за матч
48
239
Accurate passes
per match
277
Discipline
Lower is better
12.6
Fouls
per match
9.2
2.7
Yellow cards
per match
1.4
Defense
Lower is better
1.4
Goals conceded
per match
1.2
Personal Meetings
MAN ahead
draws
CUN ahead
22.11.2025
Manta FC
3 : 1
Cuniburo
02.11.2025
Cuniburo
2 : 0
Manta FC
20.09.2025
Cuniburo
4 : 1
Manta FC
24.05.2025
Manta FC
2 : 2
Cuniburo
08.09.2024
Manta FC
1 : 0
Cuniburo
17.07.2024
Cuniburo
6 : 2
Manta FC
18.06.2024
Manta FC
2 : 1
Cuniburo
30.04.2024
Cuniburo
2 : 1
Manta FC
06.09.2023
Cuniburo
1 : 1
Manta FC
14.07.2023
Manta FC
3 : 0
Cuniburo
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The away team scores an average of 1.1 goals per match — more than the home team (0.4).
The home team concedes an average of 1.3 goals per match — fewer than the opponent (1.4).
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.