Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 10 matches
W
L
L
L
D
W
W
W
D
L
14 of 30
8
league position
VS
10 games
Form · 10 matches
L
D
W
W
W
W
W
W
W
L
22 of 30
3
league position
Attack
Average per match in the sample
2.6
Goals
per match
1.2
0.0
Shots on target
per match
0.0
0.0
Corners
per match
0.0
Possession and passing
Average per match in the sample
0
Possession
% за матч
0
0
Accurate passes
per match
0
Discipline
Lower is better
0.0
Fouls
per match
0.0
0.0
Yellow cards
per match
0.0
Defense
Lower is better
3.2
Goals conceded
per match
0.6
Personal Meetings
WAG ahead
draws
PRO ahead
26.10.2025
Progresso
8 : 1
Wagiya
31.08.2025
Wagiya
2 : 1
Progresso
30.03.2025
Wagiya
0 : 3
Progresso
16.02.2025
Progresso
5 : 0
Wagiya
29.09.2024
Progresso
3 : 0
Wagiya
18.08.2024
Wagiya
1 : 2
Progresso
31.03.2024
Progresso
2 : 0
Wagiya
04.02.2024
Wagiya
1 : 5
Progresso
08.10.2023
Progresso
7 : 0
Wagiya
13.08.2023
Wagiya
4 : 3
Progresso
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The away team scores an average of 2.1 goals per match — more than the home team (1.5).
The away team concedes an average of 1.4 goals per match — fewer than the home team (4.4).
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.