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
L
L
W
W
D
7 of 15
4
league position
Attack
Average per match in the sample
1.5
Goals
per match
1.0
4.4
Shots on target
per match
4.3
4.7
Corners
per match
5.5
Possession and passing
Average per match in the sample
50
Possession
% за матч
54
349
Accurate passes
per match
398
Discipline
Lower is better
11.2
Fouls
per match
10.7
1.6
Yellow cards
per match
1.9
Defense
Lower is better
1.2
Goals conceded
per match
1.1
Personal Meetings
DAE ahead
draws
POH ahead
09.05.2026
Daejeon Citizen
0 : 2
Pohang Steelers
04.04.2026
Pohang Steelers
1 : 0
Daejeon Citizen
26.10.2025
Daejeon Citizen
2 : 0
Pohang Steelers
05.10.2025
Pohang Steelers
1 : 3
Daejeon Citizen
27.05.2025
Daejeon Citizen
1 : 3
Pohang Steelers
15.02.2025
Pohang Steelers
0 : 3
Daejeon Citizen
21.07.2024
Daejeon Citizen
1 : 2
Pohang Steelers
15.06.2024
Pohang Steelers
1 : 1
Daejeon Citizen
07.04.2024
Daejeon Citizen
1 : 2
Pohang Steelers
20.08.2023
Pohang Steelers
4 : 3
Daejeon Citizen
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The away team scores an average of 1.6 goals per match — more than the home team (1.1).
The away team concedes an average of 1.3 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.