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
D
W
L
5 of 15
5
league position
Attack
Average per match in the sample
2.2
Goals
per match
1.0
3.0
Shots on target
per match
0.0
6.0
Corners
per match
0.0
Possession and passing
Average per match in the sample
55
Possession
% за матч
0
0
Accurate passes
per match
0
Discipline
Lower is better
0.0
Fouls
per match
0.0
1.0
Yellow cards
per match
0.0
Defense
Lower is better
2.0
Goals conceded
per match
1.4
Personal Meetings
DAE ahead
draws
SEO ahead
15.08.2026
FC Seoul
4 : 2
Daejeon Citizen
16.05.2026
Daejeon Citizen
1 : 2
FC Seoul
18.04.2026
FC Seoul
0 : 1
Daejeon Citizen
01.11.2025
Daejeon Citizen
3 : 1
FC Seoul
27.07.2025
Daejeon Citizen
0 : 1
FC Seoul
10.05.2025
Daejeon Citizen
0 : 0
FC Seoul
12.04.2025
FC Seoul
2 : 2
Daejeon Citizen
14.09.2024
FC Seoul
2 : 3
Daejeon Citizen
10.07.2024
FC Seoul
2 : 1
Daejeon Citizen
27.04.2024
Daejeon Citizen
3 : 1
FC Seoul
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The away team scores an average of 1.5 goals per match — more than the home team (1.1).
The away team concedes an average of 1.2 goals per match — fewer than the home team (1.4).
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.