xG (Expected Goals) - K League 1

xG Per 90, including xG Difference

# TeamMP
Matches Played
xGxGAxGDGFGAxG vs Actual
1FC Seoul BadgeFC Seoul
FC Seoul

FC Seoul

K League 1 (Div. 1)

League Pos. 3 / 12

South Korea

Form Last 5 PPG
Overall
  • D
  • L
  • W
  • L
  • D
1.36
Home
  • L
  • W
  • D
  • L
  • W
1.50
Away
  • L
  • L
  • D
  • L
  • D
1.22
Statistics Overall Home Away
Win % 33% 39% 28%
AVG 2.64 3.11 2.17
Scored 1.33 1.72 0.94
Conceded 1.31 1.39 1.22
BTTS 61% 78% 44%
CS 31% 17% 44%

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361.851.28+0.571.331.31-0.52
2Sangju Sangmu Phoenix FC BadgeSangju Sangmu Phoenix FC
Sangju Sangmu Phoenix FC

Sangju Sangmu Phoenix FC

K League 1 (Div. 1)

League Pos. 6 / 12

South Korea

Form Last 5 PPG
Overall
  • W
  • L
  • W
  • L
  • L
1.61
Home
  • L
  • W
  • W
  • L
  • L
1.74
Away
  • D
  • L
  • W
  • L
  • W
1.47
Statistics Overall Home Away
Win % 47% 53% 41%
AVG 2.69 2.32 3.12
Scored 1.56 1.47 1.65
Conceded 1.14 0.84 1.47
BTTS 53% 37% 71%
CS 33% 42% 24%

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361.811.45+0.361.561.14-0.25
3Ulsan Hyundai Horang-i BadgeUlsan Hyundai Horang-i
Ulsan Hyundai Horang-i

Ulsan Hyundai Horang-i

K League 1 (Div. 1)

League Pos. 4 / 12

South Korea

Form Last 5 PPG
Overall
  • L
  • W
  • D
  • L
  • W
1.22
Home
  • L
  • D
  • W
  • D
  • W
1.44
Away
  • L
  • D
  • D
  • L
  • L
1.00
Statistics Overall Home Away
Win % 31% 39% 22%
AVG 2.47 2.33 2.61
Scored 1.17 1.28 1.06
Conceded 1.31 1.06 1.56
BTTS 53% 44% 61%
CS 31% 44% 17%

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361.751.58+0.171.171.31-0.58
4Suwon FC BadgeSuwon FC
Suwon FC

Suwon FC

K League 1 (Div. 1)

League Pos. 6 / 12

South Korea

Form Last 5 PPG
Overall
  • D
  • L
  • L
  • D
  • L
1.08
Home
  • L
  • W
  • D
  • L
  • D
1.44
Away
  • L
  • L
  • W
  • L
  • L
0.72
Statistics Overall Home Away
Win % 28% 39% 17%
AVG 2.97 2.83 3.11
Scored 1.39 1.50 1.28
Conceded 1.58 1.33 1.83
BTTS 69% 78% 61%
CS 14% 17% 11%

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361.741.70+0.041.391.58-0.35
5Jeonbuk Hyundai Motors FC BadgeJeonbuk Hyundai Motors FC
Jeonbuk Hyundai Motors FC

Jeonbuk Hyundai Motors FC

K League 1 (Div. 1)

League Pos. 2 / 12

South Korea

Form Last 5 PPG
Overall
  • D
  • W
  • L
  • D
  • W
2.08
Home
  • W
  • L
  • W
  • L
  • W
2.00
Away
  • L
  • W
  • D
  • D
  • D
2.18
Statistics Overall Home Away
Win % 61% 58% 65%
AVG 2.58 2.95 2.18
Scored 1.72 1.89 1.53
Conceded 0.86 1.05 0.65
BTTS 56% 68% 41%
CS 39% 26% 53%

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361.581.70-0.121.720.86+0.14
6FC Anyang BadgeFC Anyang
FC Anyang

FC Anyang

K League 1 (Div. 1)

League Pos. 2 / 12

South Korea

Form Last 5 PPG
Overall
  • D
  • W
  • L
  • W
  • W
1.33
Home
  • W
  • W
  • D
  • W
  • W
1.56
Away
  • W
  • D
  • D
  • L
  • W
1.11
Statistics Overall Home Away
Win % 39% 44% 33%
AVG 2.53 2.78 2.28
Scored 1.31 1.61 1.00
Conceded 1.22 1.17 1.28
BTTS 61% 61% 61%
CS 17% 17% 17%

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361.581.71-0.131.311.22-0.27
7Jeju United FC BadgeJeju United FC
Jeju United FC

Jeju United FC

K League 1 (Div. 1)

League Pos. 5 / 12

South Korea

Form Last 5 PPG
Overall
  • D
  • L
  • W
  • L
  • L
0.97
Home
  • D
  • L
  • L
  • D
  • L
1.24
Away
  • L
  • L
  • L
  • W
  • L
0.74
Statistics Overall Home Away
Win % 25% 35% 16%
AVG 2.50 2.59 2.42
Scored 1.06 1.24 0.89
Conceded 1.44 1.35 1.53
BTTS 56% 47% 63%
CS 22% 35% 11%

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361.531.74-0.211.061.44-0.47
8Daegu FC BadgeDaegu FC
Daegu FC

Daegu FC

K League 1 (Div. 1)

League Pos. 3 / 12

South Korea

Form Last 5 PPG
Overall
  • W
  • D
  • D
  • D
  • W
0.89
Home
  • D
  • W
  • D
  • D
  • W
1.18
Away
  • W
  • L
  • W
  • D
  • D
0.63
Statistics Overall Home Away
Win % 19% 29% 11%
AVG 3.00 2.71 3.26
Scored 1.22 1.29 1.16
Conceded 1.78 1.41 2.11
BTTS 69% 65% 74%
CS 6% 6% 5%

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361.531.70-0.171.221.78-0.31
9Pohang Steelers FC BadgePohang Steelers FC
Pohang Steelers FC

Pohang Steelers FC

K League 1 (Div. 1)

League Pos. 4 / 12

South Korea

Form Last 5 PPG
Overall
  • L
  • W
  • L
  • W
  • D
1.53
Home
  • W
  • D
  • W
  • L
  • D
1.67
Away
  • L
  • L
  • W
  • L
  • W
1.39
Statistics Overall Home Away
Win % 44% 50% 39%
AVG 2.39 2.39 2.39
Scored 1.14 1.17 1.11
Conceded 1.25 1.22 1.28
BTTS 50% 50% 50%
CS 31% 39% 22%

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361.521.47+0.051.141.25-0.38
10Daejeon Citizen FC BadgeDaejeon Citizen FC
Daejeon Citizen FC

Daejeon Citizen FC

K League 1 (Div. 1)

League Pos. 1 / 12

South Korea

Form Last 5 PPG
Overall
  • W
  • W
  • W
  • W
  • L
1.69
Home
  • W
  • W
  • W
  • W
  • W
1.89
Away
  • L
  • L
  • D
  • W
  • L
1.50
Statistics Overall Home Away
Win % 47% 56% 39%
AVG 2.75 2.44 3.06
Scored 1.50 1.39 1.61
Conceded 1.25 1.06 1.44
BTTS 61% 56% 67%
CS 22% 28% 17%

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361.511.78-0.271.501.25-0.01
11Gwangju FC BadgeGwangju FC
Gwangju FC

Gwangju FC

K League 1 (Div. 1)

League Pos. 1 / 12

South Korea

Form Last 5 PPG
Overall
  • L
  • L
  • W
  • W
  • L
1.33
Home
  • W
  • L
  • L
  • W
  • W
1.39
Away
  • W
  • L
  • D
  • L
  • L
1.28
Statistics Overall Home Away
Win % 36% 39% 33%
AVG 2.17 2.28 2.06
Scored 1.03 1.17 0.89
Conceded 1.14 1.11 1.17
BTTS 44% 50% 39%
CS 31% 33% 28%

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361.451.54-0.091.031.14-0.42
12Gangwon FC BadgeGangwon FC
Gangwon FC

Gangwon FC

K League 1 (Div. 1)

League Pos. 5 / 12

South Korea

Form Last 5 PPG
Overall
  • D
  • D
  • L
  • D
  • W
1.33
Home
  • W
  • W
  • D
  • D
  • D
1.33
Away
  • W
  • L
  • D
  • L
  • W
1.33
Statistics Overall Home Away
Win % 33% 28% 39%
AVG 2.08 2.06 2.11
Scored 0.97 0.94 1.00
Conceded 1.11 1.11 1.11
BTTS 39% 39% 39%
CS 39% 44% 33%

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361.321.51-0.190.971.11-0.35

This table describes the xG per match of each team in the K League 1.

xG = Expected Goals to be scored.

xGA = Expected Goals to be conceded.

xG vs Actual measures the team's actual goals scored against the expected goals scored. A negative number is bad since the team is scoring less than expected. A positive number means the team is scoring more than expected.

For Expected Points data, go to K League 1 Expected Points Table.

Players with the Most xG

# PlayerxG TotalGoalsxG / 90'ShotsPositionApps
1Pablo Sabbag BadgePablo Sabbag16.87170.6272FW32
2Dong-Kyung Lee BadgeDong-Kyung Lee16.43140.51105MF35
3Ho-Jae Lee BadgeHo-Jae Lee14.72150.4974FW30
4Se-jin Jeon BadgeSe-jin Jeon14.17150.4964FW34
5Bruno Rodrigues Mota BadgeBruno Rodrigues Mota13.85140.4968FW35
6Jesse Lingard BadgeJesse Lingard11.9690.4586MF32
7Andrea Compagno BadgeAndrea Compagno11.84120.747FW26
8Min-Kyu Joo BadgeMin-Kyu Joo11.62140.4542MF34
9Yuri Jonathan Vitor Coelho BadgeYuri Jonathan Vitor Coelho11.58120.5353FW29
10Matheus Oliveira Santos BadgeMatheus Oliveira Santos11.2490.4176MF32
11Erick Samuel Correa Farias BadgeErick Samuel Correa Farias10.88100.4865FW28
12Isnairo Reis Silva Morais BadgeIsnairo Reis Silva Morais10.0690.2956FW35
13Cesinha BadgeCesinha9.91110.4251FW24
14Seung-Sub Kim BadgeSeung-Sub Kim9.570.3269FW35
15Jorge Luiz Barbosa Teixeira BadgeJorge Luiz Barbosa Teixeira9.2850.3376FW34
16Sang-Hyeok Park BadgeSang-Hyeok Park9.09110.4139FW35
17Tiago Orobó BadgeTiago Orobó8.66100.5540FW27
18Jasir Asani BadgeJasir Asani8.5780.4754MF22
19Anderson Oliveira BadgeAnderson Oliveira8.260.2563MF35
20Lucas Rodrigues da Silva BadgeLucas Rodrigues da Silva7.8950.3956FW30
21Seon-Min Moon BadgeSeon-Min Moon6.860.439MF31
22Young-Wook Cho BadgeYoung-Wook Cho6.7670.337FW32
23Tae-Hee Nam BadgeTae-Hee Nam6.7560.2241MF34
24Luan Dias da Silva BadgeLuan Dias da Silva6.650.2345FW34
25Kang-Hyun Yu BadgeKang-Hyun Yu6.5160.437FW28

This is the list of the players with the highest xGs in the K League 1. List can include players from all positions. For more shots data, go to Shots data for K League 1 page.

xG Overall (Per Match)

xG Home

xG Away

xGA Overall (Per Match)

xGA Home

xGA Away

xG (Expected Goals) By Teams in K League 1


Which Team Has The Best xG?

Currently, FC Seoul has the best xG (Expected Goals For) in the K League 1 with 1.85 xG per game.

Which Team Has The Worst xG?

Currently, Gangwon FC has the worst xG (Expected Goals For) in the K League 1 with 1.32 xG per game.

Who Has The Best xG at Home?

The team with the best xG when playing at home this season is FC Seoul, who has an xG of 2.06 from their home games thus far.

Who Has The Worst xG at Home?

The team with the worst xG when playing at home this season is Gangwon FC, who is expected to score just 1.44 goals per game in front of their own fans.

Who Has The Best xG Away From Home?

The team with the best xG whilst on the road this season is Sangju Sangmu Phoenix FC, who is expected to score 1.78 goals per game in their opponents stadium.

Who Has The Worst xG Away From Home?

The team with the worst xG whilst on the road this season is Gangwon FC, who is expected to score just 1.20 goals per game in their opponents stadium.

Who Has The Best xGA?

FC Seoul has the best xGA (Expected Goals Against) in the K League 1 with just 1.28 goals expected against them per game. Arguably, this stat could suggest they have the best defence in this competition.

Who Has The Best xGA at Home?

FC Seoul has the best xGA (Expected Goals Against) in the K League 1 when playing at home with just 1.15 goals expected against them per game. They are formidable when playing at home.

Who Has The Best xGA Away From Home?

FC Seoul has the best xGA (Expected Goals Against) in the K League 1 when playing away from home with just 1.41 goals expected against them per game. Very frustrating for those home fans who must watch their team face FC Seoul.

Who Has The Worst xGA?

Fans of Jeju United FC will demand better defending in the future, with 1.74 xGA (Goals Expected Against). The worst of all teams in the K League 1 this season.

Who Has The Worst xGA at Home?

The team with the worst xGA (Goals Expected Against) when playing at home this season is Suwon FC, who is expected to concede 1.69 goals per game in front of their own fans.

Who Has The Worst xGA Away From Home?

The team with the worst xGA (Goals Expected Against) when playing away from home this season is Jeju United FC, who is expected to concede 1.92 goals per game whilst on their travels.

How is the xG calculated for K League 1?

FootyStats uses a unique formula for calculating xG. Traditional xG only takes account of shot positions while FootyStats uses a combination of shot accuracy (on/off target), shot frequency (number of shots), attack dangerousness, overall attack pressure (posession amount and depth of posession) to summarize expected goals for K League 1. The reason for using more data points to calculate xG is because many attacks can be extremely dangerous without a shot attempt, and using other data such as posession and depth of attack can increase the granularity of K League 1's xG data.

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