Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 1 matches
L
0 of 3
9
league position
VS
10 games
Form · 1 matches
D
1 of 3
5
league position
Attack
Average per match in the sample
0.9
Goals
per match
0.8
3.2
Shots on target
per match
2.4
4.2
Corners
per match
6.9
Possession and passing
Average per match in the sample
43
Possession
% за матч
48
243
Accurate passes
per match
254
Discipline
Lower is better
14.0
Fouls
per match
12.5
2.5
Yellow cards
per match
1.9
Defense
Lower is better
1.8
Goals conceded
per match
1.0
Personal Meetings
ENP ahead
draws
COC ahead
18.09.2025
Coca-Cola
2 : 2
Enppi
10.04.2025
Enppi
2 : 1
Coca-Cola
31.10.2024
Coca-Cola
0 : 0
Enppi
20.08.2024
Coca-Cola
1 : 0
Enppi
16.05.2024
Enppi
0 : 1
Coca-Cola
05.11.2023
Coca-Cola
0 : 1
Enppi
06.06.2023
Coca-Cola
1 : 0
Enppi
18.01.2023
Enppi
2 : 3
Coca-Cola
03.07.2022
Coca-Cola
2 : 0
Enppi
18.06.2022
Enppi
1 : 2
Coca-Cola
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The away team scores an average of 1.2 goals per match — more than the home team (1.1).
The away team concedes an average of 0.8 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.