Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 10 matches
W
D
W
W
D
W
L
W
W
D
21 of 30
3
league position
VS
9 games
Form · 10 matches
W
L
D
D
W
D
L
W
L
D
13 of 30
10
league position
Attack
Average per match in the sample
1.6
Goals
per match
0.9
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
1.2
Goals conceded
per match
1.5
Personal Meetings
SEO ahead
draws
CHE ahead
07.06.2026
Seoul E-Land FC
1 : 2
Cheongju
09.11.2025
Cheongju
0 : 2
Seoul E-Land FC
05.07.2025
Cheongju
2 : 1
Seoul E-Land FC
19.04.2025
Seoul E-Land FC
0 : 2
Cheongju
14.09.2024
Cheongju
1 : 2
Seoul E-Land FC
07.07.2024
Cheongju
2 : 3
Seoul E-Land FC
06.05.2024
Seoul E-Land FC
1 : 1
Cheongju
19.09.2023
Cheongju
0 : 1
Seoul E-Land FC
23.07.2023
Cheongju
2 : 1
Seoul E-Land FC
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The home team scores an average of 1.7 goals per match — more than the opponent (0.9).
The away team concedes an average of 1.2 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.