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Seoul - Gyeongnam 06.04.2019 08:00: score, statistics, forecasts

Finished
2
1
1st half 1:0
2nd half 1:1
06.04.2019 08:00
K League 1
6 | 2019 | Korea Republic
Home Team Position: 1 (+4)
Away Team Position: 5 (-4)
Meeting Statistics
We have detailed tables with filters where you can track average values
Team H A
Avg. goals per match 1.95 2.8
Avg. corners per match 9.7 10.17
Avg. yellow cards per match 3.33 3.33
Avg. red cards per match 0 0
Seoul Gyeongnam
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League & referee
We have detailed statistics not only on events, but also on referees and leagues
K League 1

LIVE match center

Goals
200% from average (1)
2
1
71.43% from average (1.4)
Corner
73.39% from average (5.45)
4
3
67.42% from average (4.45)
Fouls
95.37% from average (14.68)
14
14
152.34% from average (9.19)
108.74% from average (25.75)
In the Live Center, we publish team match statistics, lineups, substitutions, and player stats. The information available depends on the specific championship coverage
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Team metrics

We try to show statistics for the last 20 matches, if that's what we have in our database. Also, when showing statistics for corners, shots, offsides, fouls, attacks, and passes, we exclude matches with zero results for these parameters from the calculations to ensure a more accurate picture, as these stats are not recorded for all leagues
Team
Seoul Gyeongnam
Goals per match average
1.95 2.8
Team goals per match average
1 1.4
Opponent goals per match average
1.15 1.65
Corners per match average
9.7 10.17
Team corners per match average
5.45 4.45
Opponent corners per match average
4.25 5.5
Yellow cards per match average
3.33 3.33

Interesting facts about the team Seoul

General
Seoul
Opponents

Interesting facts about the team Gyeongnam

General
Gyeongnam
Opponents

Brief Overview

Seoul will face Gyeongnam 06.04.2019 as the home side. We have not yet received details about the match referee. The clubs do not meet in cups, but their league matches can be seen quite often: K League 1, Korean Cup. It is possible to analyze how the match will go, as the teams have already played each other over 2 last seasons.

This is the LIVE match center Seoul - Gyeongnam 06.04.2019

Detailed match statistics, match events, and team lineups

Match Statistics

Goals
200% from average (1)
2
1
71% from average (1.4)
Possession
82% from average (52.55)
43%
57%
109% from average (52.18)
Corner
73% from average (5.45)
4
3
67% from average (4.45)
Yellow cards
194% from average (1.55)
3
1
80% from average (1.25)
89% from average (4.47)
Red cards
0% from average (0.75)
0
0
- from average (0)
0% from average (1)
Fouls
95% from average (14.68)
14
14
152% from average (9.19)
109% from average (25.75)
Shots on goal
72% from average (12.5)
9
12
122% from average (9.8)
Shots on target
116% from average (4.3)
5
2
51% from average (3.95)
Shots Off Target
57% from average (7)
4
10
194% from average (5.16)
Blocked Shots
44% from average (2.26)
1
2
108% from average (1.86)
Shots from the penalty area
- from average (0)
0
0
- from average (0)
Shots from outside the penalty area
- from average (0)
0
0
- from average (0)
Attacks
90% from average (98.35)
89
114
125% from average (91.05)
Dangerous Attacks
77% from average (63.7)
49
46
81% from average (56.6)
Offsides
133% from average (1.5)
2
1
53% from average (1.88)
Saves
- from average (0)
0
0
0% from average (2)
Substitutions
118% from average (2.55)
3
3
120% from average (2.5)
Goal kicks
- from average (0)
0
0
- from average (0)
Goal Attempts
91% from average (8.79)
8
11
142% from average (7.75)
Free Kicks
- from average (0)
0
0
- from average (0)
Throw-ins
- from average (0)
0
0
- from average (0)
Ball Safe
93% from average (93.63)
87
108
111% from average (97.19)

Match Progress

The match has begun - the first half is underway
0
:
0
Yellow Card
24’
Ko Kwang-Min
Yellow Card
34’
I. Alibaev
Goal
42’
A. Pešić
1
:
0
The match has continued - the second half is underway
1
:
0
Yellow Card
57’
Shin Jae-Won
Substitution
62’
Park Gi-Dong
J. Mutch
Substitution
63’
Shin Jae-Won
Jung Won-Jin
Substitution
63’
Lee Jae-Myung
Choi Jae-Soo
Substitution
63’
Lee Seung-Yeop
T. Kunimoto
Yellow Card
65’
T. Kunimoto
Substitution
78’
Park Chu-Young
Cho Young-Wook
Substitution
78’
Park Chu-Young
Cho Young-Wook
Goal
85’
Cho Young-Wook
2
:
0
Goal
85’
Cho Young-Wook
3
:
0
Substitution
90’
I. Alibaev
Kim Won-Sik
Substitution
90’
I. Alibaev
Kim Won-Sik
Goal
90’+3’
Kim Jong-Pil
3
:
1
Goal
90’+3’
Kim Jong-Pil
3
:
2
Match finished
2
:
1

Starting lineups

№
Player
1
Yoo Sang-Hoon
~
~
~
~
3
Lee Woong-Hee
~
~
~
~
24
Jung Hyun-Cheol
~
~
~
~
40
Kim Won-Gyun
~
~
~
~
2
Hwang Hyun-Soo
~
~
~
~
13
Ko Yo-Han
~
~
~
~
27
Ko Kwang-Min
~
1
~
~
9
I. Alibaev
~
1
~
~
10
Park Chu-Young
~
~
~
~
72
A. Pešić
~
~
1
~
7
Shin Jae-Won
~
1
~
~
№
Player
25
Lee Bum-Soo
~
~
~
~
12
Lee Jae-Myung
~
~
~
~
17
Yeo Sung-Hye
~
~
~
~
50
Kim Jong-Pil
~
~
1
~
15
Woo Ju-Sung
~
~
~
~
4
Ha Sung-Min
~
~
~
~
8
Ahn Sung-Nam
~
~
~
~
14
Jo Jae-Cheol
~
~
~
~
32
Lee Young-Jae
~
~
~
~
18
Park Gi-Dong
~
~
~
~
39
Lee Seung-Yeop
~
~
~
~

Substitutions

№
Player
14
Kim Han-Gil
~
~
~
~
8
Jung Won-Jin
~
~
~
~
15
Kim Won-Sik
~
~
~
~
21
Yang Han-Bin
~
~
~
~
18
Cho Young-Wook
~
~
~
~
33
Lee In-Gyu
~
~
~
~
50
Park Dong-Jin
~
~
~
~
№
Player
6
Choi Jae-Soo
~
~
~
~
22
T. Kunimoto
~
~
~
~
31
Son Jung-Hyun
~
~
~
~
11
Do Dong-Hyun
~
~
~
~
80
J. Mutch
~
~
~
~
53
Bae Seung-Jin
~
~
~
~
13
Kim Joon-Beom
~
~
~
~

These are detailed team statistics

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These are machine learning-based predictions (Machine Learning, ML)

ML predictions are an exclusive and unique feature of UNION STAT. Our servers run special mathematical algorithms that calculate the strength of teams and perform analysis based on pseudo-random event prediction algorithms. We do not accept these predictions “somewhere”, we developed the system and implemented it ourselves, exclusively for our website. The algorithm uses machine learning technologies and conventional calculation methods. To help the community understand what we offer, we disclose the methodology in a separate article. Important! The match predictions we publish are not a call for betting and are intended solely for “highlight” You need matches or parameters for independent analysis. The ML system does not replace humans!

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These are detailed statistics of head-to-head meetings Seoul and Gyeongnam before the match 06.04.2019

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This tool uses the entered probability to show which trend works at that probability for teams, referees, and the league. Learn more about how this tool works