Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 5 matches
L
D
D
L
W
5 of 15
9
league position
VS
6 games
Form · 5 matches
W
D
D
W
W
11 of 15
8
league position
Attack
Average per match in the sample
1.3
Goals
per match
1.1
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
1.6
Goals conceded
per match
1.2
Personal Meetings
COL ahead
draws
PRA ahead
03.05.2026
Colunga
0 : 2
Praviano
04.01.2026
Praviano
1 : 0
Colunga
23.02.2025
Praviano
1 : 1
Colunga
13.10.2024
Colunga
1 : 1
Praviano
10.03.2024
Colunga
0 : 1
Praviano
22.10.2023
Praviano
2 : 0
Colunga
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The home team scores an average of 1.3 goals per match — more than the opponent (0.9).
The away team concedes an average of 1.1 goals per match — fewer than the home team (1.3).
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.