Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 10 matches
L
W
W
L
D
D
D
D
L
L
10 of 30
11
league position
VS
10 games
Form · 5 matches
D
L
L
L
D
2 of 15
6
league position
Attack
Average per match in the sample
1.5
Goals
per match
1.8
4.4
Shots on target
per match
6.2
4.7
Corners
per match
4.3
Possession and passing
Average per match in the sample
50
Possession
% за матч
46
349
Accurate passes
per match
282
Discipline
Lower is better
11.2
Fouls
per match
12.5
1.6
Yellow cards
per match
2.1
Defense
Lower is better
1.2
Goals conceded
per match
1.5
Personal Meetings
DAE ahead
draws
SUW ahead
10.08.2025
Daejeon Citizen
3 : 2
Suwon City FC
18.05.2025
Suwon City FC
3 : 0
Daejeon Citizen
02.03.2025
Daejeon Citizen
1 : 0
Suwon City FC
10.08.2024
Suwon City FC
1 : 2
Daejeon Citizen
29.06.2024
Daejeon Citizen
0 : 2
Suwon City FC
14.04.2024
Suwon City FC
1 : 0
Daejeon Citizen
22.10.2023
Daejeon Citizen
1 : 1
Suwon City FC
01.09.2023
Daejeon Citizen
0 : 1
Suwon City FC
10.05.2023
Daejeon Citizen
2 : 1
Suwon City FC
09.04.2023
Suwon City FC
5 : 3
Daejeon Citizen
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The away team scores an average of 1.4 goals per match — more than the home team (1.1).
The home team concedes an average of 1.4 goals per match — fewer than the opponent (1.5).
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.