Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 5 matches
W
D
W
L
W
10 of 15
12
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
1.7
Goals
per match
1.5
5.9
Shots on target
per match
3.9
5.8
Corners
per match
3.9
Possession and passing
Average per match in the sample
58
Possession
% за матч
49
421
Accurate passes
per match
357
Discipline
Lower is better
12.8
Fouls
per match
11.7
2.0
Yellow cards
per match
2.4
Defense
Lower is better
1.0
Goals conceded
per match
1.3
Personal Meetings
TOL ahead
draws
UNA ahead
22.07.2026
Toluca
1 : 2
U.N.A.M. - Pumas
04.03.2026
U.N.A.M. - Pumas
2 : 3
Toluca
17.08.2025
Toluca
1 : 1
U.N.A.M. - Pumas
30.01.2025
U.N.A.M. - Pumas
1 : 1
Toluca
06.10.2024
Toluca
1 : 1
U.N.A.M. - Pumas
18.03.2024
Toluca
3 : 0
U.N.A.M. - Pumas
19.08.2023
U.N.A.M. - Pumas
1 : 1
Toluca
16.04.2023
U.N.A.M. - Pumas
3 : 1
Toluca
14.12.2022
U.N.A.M. - Pumas
1 : 1
Toluca
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The away team scores an average of 1.6 goals per match — more than the home team (1.4).
The away team concedes an average of 1.1 goals per match — fewer than the home team (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.