Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 4 matches
D
W
W
L
7 of 12
4
league position
VS
10 games
Form · 4 matches
L
L
W
W
6 of 12
16
league position
Attack
Average per match in the sample
1.2
Goals
per match
1.4
4.2
Shots on target
per match
5.8
5.0
Corners
per match
4.6
Possession and passing
Average per match in the sample
50
Possession
% за матч
55
361
Accurate passes
per match
392
Discipline
Lower is better
12.2
Fouls
per match
11.4
2.0
Yellow cards
per match
2.0
Defense
Lower is better
1.4
Goals conceded
per match
1.6
Personal Meetings
U.N ahead
draws
CRU ahead
25.05.2026
U.N.A.M. - Pumas
1 : 2
Cruz Azul
22.05.2026
Cruz Azul
0 : 0
U.N.A.M. - Pumas
15.03.2026
U.N.A.M. - Pumas
2 : 2
Cruz Azul
09.11.2025
Cruz Azul
2 : 3
U.N.A.M. - Pumas
11.10.2025
Cruz Azul
2 : 0
U.N.A.M. - Pumas
06.04.2025
Cruz Azul
3 : 2
U.N.A.M. - Pumas
27.10.2024
U.N.A.M. - Pumas
0 : 2
Cruz Azul
13.05.2024
Cruz Azul
2 : 2
U.N.A.M. - Pumas
10.05.2024
U.N.A.M. - Pumas
0 : 2
Cruz Azul
31.03.2024
U.N.A.M. - Pumas
0 : 0
Cruz Azul
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 (1.2).
The home team concedes an average of 1.1 goals per match — fewer than the opponent (1.7).
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.