Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 4 matches
W
W
L
W
9 of 12
2
league position
VS
9 games
Form · 4 matches
D
W
W
L
7 of 12
4
league position
Attack
Average per match in the sample
1.8
Goals
per match
1.5
5.4
Shots on target
per match
3.9
4.3
Corners
per match
3.9
Possession and passing
Average per match in the sample
55
Possession
% за матч
49
406
Accurate passes
per match
357
Discipline
Lower is better
12.2
Fouls
per match
11.7
2.0
Yellow cards
per match
2.4
Defense
Lower is better
1.4
Goals conceded
per match
1.3
Personal Meetings
MON ahead
draws
UNA ahead
22.02.2026
U.N.A.M. - Pumas
2 : 0
Monterrey
19.10.2025
Monterrey
1 : 1
U.N.A.M. - Pumas
05.05.2025
Monterrey
2 : 0
U.N.A.M. - Pumas
17.03.2025
U.N.A.M. - Pumas
1 : 3
Monterrey
01.12.2024
U.N.A.M. - Pumas
3 : 5
Monterrey
29.11.2024
Monterrey
1 : 0
U.N.A.M. - Pumas
24.10.2024
Monterrey
0 : 0
U.N.A.M. - Pumas
04.03.2024
Monterrey
3 : 0
U.N.A.M. - Pumas
22.10.2023
U.N.A.M. - Pumas
0 : 1
Monterrey
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The home team scores an average of 1.6 goals per match — more than the opponent (1.6).
The home team concedes an average of 0.9 goals per match — fewer than the opponent (1.1).
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.