xG (Expected Goals) - 1. Liga

xG Per 90, including xG Difference

# TeamMP
Matches Played
xGxGAxGDGFGAxG vs Actual
1KS Lechia Gdańsk BadgeKS Lechia Gdańsk
KS Lechia Gdańsk

KS Lechia Gdańsk

1. Liga (Div. 2)

League Pos. 8 / 18

Poland

Form Last 5 PPG
Overall
  • W
  • W
  • L
  • W
  • W
1.44
Home
  • L
  • L
  • W
  • W
  • W
1.80
Away
  • D
  • L
  • W
  • L
1.00
Statistics Overall Home Away
Win % 44% 60% 25%
AVG 3.56 3.60 3.50
Scored 1.89 2.00 1.75
Conceded 1.67 1.60 1.75
BTTS 56% 40% 75%
CS 11% 20% 0%

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91.901.75+0.151.891.67-0.01
2KS Ruch Chorzów BadgeKS Ruch Chorzów
KS Ruch Chorzów

KS Ruch Chorzów

1. Liga (Div. 2)

League Pos. 11 / 18

Poland

Form Last 5 PPG
Overall
  • W
  • L
  • W
  • D
  • D
1.33
Home
  • L
  • W
  • W
  • D
1.75
Away
  • L
  • D
  • W
  • L
  • D
1.00
Statistics Overall Home Away
Win % 33% 50% 20%
AVG 2.22 3.25 1.40
Scored 1.00 1.75 0.40
Conceded 1.22 1.50 1.00
BTTS 33% 50% 20%
CS 33% 25% 40%

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91.881.42+0.461.001.22-0.88
3MKS Miedź Legnica BadgeMKS Miedź Legnica
MKS Miedź Legnica

MKS Miedź Legnica

1. Liga (Div. 2)

League Pos. 5 / 18

Poland

Form Last 5 PPG
Overall
  • W
  • W
  • D
  • L
  • L
1.56
Home
  • L
  • W
  • W
  • D
  • L
1.33
Away
  • W
  • W
  • L
2.00
Statistics Overall Home Away
Win % 44% 33% 67%
AVG 2.56 2.50 2.67
Scored 1.56 1.33 2.00
Conceded 1.00 1.17 0.67
BTTS 56% 67% 33%
CS 33% 17% 67%

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91.871.89-0.021.561.00-0.31
4KSP Polonia Warszawa BadgeKSP Polonia Warszawa
KSP Polonia Warszawa

KSP Polonia Warszawa

1. Liga (Div. 2)

League Pos. 6 / 18

Poland

Form Last 5 PPG
Overall
  • W
  • L
  • L
  • D
  • W
1.56
Home
  • W
  • D
  • L
  • D
  • W
1.60
Away
  • W
  • L
  • W
  • L
1.50
Statistics Overall Home Away
Win % 44% 40% 50%
AVG 3.00 3.60 2.25
Scored 1.67 2.00 1.25
Conceded 1.33 1.60 1.00
BTTS 67% 80% 50%
CS 22% 20% 25%

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91.811.16+0.651.671.33-0.14
5TS Polonia Bytom BadgeTS Polonia Bytom
TS Polonia Bytom

TS Polonia Bytom

1. Liga (Div. 2)

League Pos. 15 / 18

Poland

Form Last 5 PPG
Overall
  • D
  • D
  • D
  • D
  • D
1.00
Home
  • W
  • D
  • D
  • D
  • D
1.40
Away
  • L
  • L
  • D
  • D
0.50
Statistics Overall Home Away
Win % 11% 20% 0%
AVG 3.44 3.00 4.00
Scored 1.56 1.60 1.50
Conceded 1.89 1.40 2.50
BTTS 78% 60% 100%
CS 22% 40% 0%

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91.711.60+0.111.561.89-0.15
6ŁKS Łódź BadgeŁKS Łódź
ŁKS Łódź

ŁKS Łódź

1. Liga (Div. 2)

League Pos. 3 / 18

Poland

Form Last 5 PPG
Overall
  • W
  • D
  • D
  • W
  • L
1.67
Home
  • W
  • L
  • W
  • W
2.25
Away
  • D
  • D
  • D
  • W
  • L
1.20
Statistics Overall Home Away
Win % 44% 75% 20%
AVG 2.44 3.25 1.80
Scored 1.44 2.25 0.80
Conceded 1.00 1.00 1.00
BTTS 67% 75% 60%
CS 22% 25% 20%

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91.711.41+0.301.441.00-0.27
7Unia Skierniewice BadgeUnia Skierniewice
Unia Skierniewice

Unia Skierniewice

1. Liga (Div. 2)

League Pos. 13 / 18

Poland

Form Last 5 PPG
Overall
  • W
  • L
  • L
  • W
  • D
1.11
Home
  • L
  • W
  • L
  • L
  • W
1.20
Away
  • L
  • W
  • L
  • D
1.00
Statistics Overall Home Away
Win % 33% 40% 25%
AVG 2.78 2.80 2.75
Scored 1.11 1.20 1.00
Conceded 1.67 1.60 1.75
BTTS 56% 40% 75%
CS 22% 20% 25%

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91.601.62-0.021.111.67-0.49
8GKS Pogoń Grodzisk Mazowiecki BadgeGKS Pogoń Grodzisk Mazowiecki
GKS Pogoń Grodzisk Mazowiecki

GKS Pogoń Grodzisk Mazowiecki

1. Liga (Div. 2)

League Pos. 1 / 18

Poland

Form Last 5 PPG
Overall
  • D
  • D
  • W
  • L
  • W
2.00
Home
  • W
  • D
  • D
  • W
  • W
2.20
Away
  • W
  • W
  • D
  • L
1.75
Statistics Overall Home Away
Win % 56% 60% 50%
AVG 2.56 2.00 3.25
Scored 1.67 1.40 2.00
Conceded 0.89 0.60 1.25
BTTS 44% 40% 50%
CS 56% 60% 50%

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91.601.78-0.181.670.89+0.07
9KS Warta Poznań BadgeKS Warta Poznań
KS Warta Poznań

KS Warta Poznań

1. Liga (Div. 2)

League Pos. 4 / 18

Poland

Form Last 5 PPG
Overall
  • W
  • L
  • L
  • W
  • W
1.67
Home
  • W
  • W
3.00
Away
  • W
  • L
  • W
  • L
  • L
1.29
Statistics Overall Home Away
Win % 56% 100% 43%
AVG 3.33 4.00 3.14
Scored 1.89 3.00 1.57
Conceded 1.44 1.00 1.57
BTTS 56% 50% 57%
CS 33% 50% 29%

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91.581.33+0.251.891.44+0.31
10ZKS Stal Rzeszów BadgeZKS Stal Rzeszów
ZKS Stal Rzeszów

ZKS Stal Rzeszów

1. Liga (Div. 2)

League Pos. 7 / 18

Poland

Form Last 5 PPG
Overall
  • L
  • W
  • W
  • W
  • W
1.56
Home
  • L
  • L
  • W
1.00
Away
  • D
  • D
  • W
  • W
  • W
1.83
Statistics Overall Home Away
Win % 44% 33% 50%
AVG 2.78 3.33 2.50
Scored 1.11 1.00 1.17
Conceded 1.67 2.33 1.33
BTTS 56% 67% 50%
CS 22% 0% 33%

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91.581.580.001.111.67-0.47
11FKS Stal Mielec BadgeFKS Stal Mielec
FKS Stal Mielec

FKS Stal Mielec

1. Liga (Div. 2)

League Pos. 16 / 18

Poland

Form Last 5 PPG
Overall
  • L
  • L
  • D
  • L
  • L
1.00
Home
  • D
  • D
  • W
  • D
  • L
1.20
Away
  • W
  • L
  • L
  • L
0.75
Statistics Overall Home Away
Win % 22% 20% 25%
AVG 4.11 4.00 4.25
Scored 1.56 2.20 0.75
Conceded 2.56 1.80 3.50
BTTS 78% 100% 50%
CS 0% 0% 0%

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91.551.91-0.361.562.56+0.01
12LKS Termalica Bruk-Bet Nieciecza BadgeLKS Termalica Bruk-Bet Nieciecza
LKS Termalica Bruk-Bet Nieciecza

LKS Termalica Bruk-Bet Nieciecza

1. Liga (Div. 2)

League Pos. 2 / 18

Poland

Form Last 5 PPG
Overall
  • L
  • D
  • W
  • W
  • W
1.78
Home
  • W
  • L
  • L
  • W
  • W
1.80
Away
  • W
  • L
  • D
  • W
1.75
Statistics Overall Home Away
Win % 56% 60% 50%
AVG 2.89 2.60 3.25
Scored 1.56 1.40 1.75
Conceded 1.33 1.20 1.50
BTTS 78% 60% 100%
CS 22% 40% 0%

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91.481.60-0.121.561.33+0.08
13OKS Odra Opole BadgeOKS Odra Opole
OKS Odra Opole

OKS Odra Opole

1. Liga (Div. 2)

League Pos. 14 / 18

Poland

Form Last 5 PPG
Overall
  • D
  • D
  • D
  • L
  • L
1.00
Home
  • L
  • W
  • D
  • L
1.00
Away
  • W
  • L
  • D
  • D
  • L
1.00
Statistics Overall Home Away
Win % 22% 25% 20%
AVG 1.78 1.50 2.00
Scored 0.78 0.75 0.80
Conceded 1.00 0.75 1.20
BTTS 44% 25% 60%
CS 22% 25% 20%

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91.451.42+0.030.781.00-0.67
14MZKS Chrobry Głogów BadgeMZKS Chrobry Głogów
MZKS Chrobry Głogów

MZKS Chrobry Głogów

1. Liga (Div. 2)

League Pos. 9 / 18

Poland

Form Last 5 PPG
Overall
  • L
  • W
  • D
  • D
  • L
1.33
Home
  • L
  • D
  • L
  • W
  • D
1.00
Away
  • W
  • W
  • D
  • L
1.75
Statistics Overall Home Away
Win % 33% 20% 50%
AVG 2.11 1.20 3.25
Scored 1.22 0.60 2.00
Conceded 0.89 0.60 1.25
BTTS 44% 20% 75%
CS 22% 40% 0%

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91.411.62-0.211.220.89-0.19
15TS Podbeskidzie Bielsko-Biała BadgeTS Podbeskidzie Bielsko-Biała
TS Podbeskidzie Bielsko-Biała

TS Podbeskidzie Bielsko-Biała

1. Liga (Div. 2)

League Pos. 17 / 18

Poland

Form Last 5 PPG
Overall
  • D
  • L
  • D
  • D
  • D
0.89
Home
  • D
  • D
  • D
1.00
Away
  • D
  • D
  • L
  • D
  • D
0.83
Statistics Overall Home Away
Win % 0% 0% 0%
AVG 2.89 2.67 3.00
Scored 1.33 1.33 1.33
Conceded 1.56 1.33 1.67
BTTS 78% 100% 67%
CS 11% 0% 17%

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91.401.59-0.191.331.56-0.07
16Arka Gdynia 1929 BadgeArka Gdynia 1929
Arka Gdynia 1929

Arka Gdynia 1929

1. Liga (Div. 2)

League Pos. 12 / 18

Poland

Form Last 5 PPG
Overall
  • L
  • D
  • D
  • L
  • L
1.22
Home
  • W
  • W
  • D
  • D
2.00
Away
  • W
  • L
  • L
  • L
  • L
0.60
Statistics Overall Home Away
Win % 33% 50% 20%
AVG 2.44 2.75 2.20
Scored 1.22 2.25 0.40
Conceded 1.22 0.50 1.80
BTTS 33% 50% 20%
CS 33% 50% 20%

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91.391.51-0.121.221.22-0.17
17MKS Puszcza Niepołomice BadgeMKS Puszcza Niepołomice
MKS Puszcza Niepołomice

MKS Puszcza Niepołomice

1. Liga (Div. 2)

League Pos. 18 / 18

Poland

Form Last 5 PPG
Overall
  • L
  • L
  • W
  • L
  • L
0.75
Home
  • L
  • W
  • L
  • W
  • L
1.20
Away
  • L
  • L
  • L
0.00
Statistics Overall Home Away
Win % 25% 40% 0%
AVG 2.50 2.20 3.00
Scored 1.00 1.20 0.67
Conceded 1.50 1.00 2.33
BTTS 38% 40% 33%
CS 13% 20% 0%

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81.381.37+0.011.001.50-0.38
18MKP Pogoń Siedlce BadgeMKP Pogoń Siedlce
MKP Pogoń Siedlce

MKP Pogoń Siedlce

1. Liga (Div. 2)

League Pos. 10 / 18

Poland

Form Last 5 PPG
Overall
  • W
  • L
  • W
  • D
  • W
1.50
Home
  • D
  • L
  • W
  • W
  • W
2.00
Away
  • D
  • L
  • D
0.67
Statistics Overall Home Away
Win % 38% 60% 0%
AVG 2.00 2.20 1.67
Scored 1.13 1.40 0.67
Conceded 0.88 0.80 1.00
BTTS 50% 60% 33%
CS 38% 40% 33%

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81.091.91-0.821.130.88+0.04

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

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 1. Liga Expected Points Table.

Players with the Most xG

# PlayerxG TotalGoalsxG / 90'ShotsPositionApps
1Artur Shakh BadgeArtur Shakh4.9360.9817MF6
2Kamil Zapolnik BadgeKamil Zapolnik4.3530.8915FW5
3Kamil Antonik BadgeKamil Antonik4.0930.4734MF9
4Radoslaw Majewski BadgeRadoslaw Majewski3.9440.5218MF9
5Konrad Andrzejczak BadgeKonrad Andrzejczak3.9140.5321MF8
6Marcel Stefaniak BadgeMarcel Stefaniak3.8240.4519MF9
7Mateusz Stanek BadgeMateusz Stanek3.7340.5215FW9
8Sean Goss BadgeSean Goss3.5330.423MF9
9Vladislavs Gutkovskis BadgeVladislavs Gutkovskis3.4440.4715FW8
10Michal Feliks BadgeMichal Feliks3.3530.4719FW9
11Jakub Lis BadgeJakub Lis3.1930.489DF8
12Kevin Dodaj BadgeKevin Dodaj3.1730.6716FW5
13Ernest Terpiłowski BadgeErnest Terpiłowski3.1240.929DF8
14Marcin Urynowicz BadgeMarcin Urynowicz3.0540.379MF9
15İlkay Durmuş Badgeİlkay Durmuş2.9730.3815FW9
16Krystian Getinger BadgeKrystian Getinger2.8730.3616DF9
17Maciej Rosołek BadgeMaciej Rosołek2.8630.4213FW7
18Shuma Nagamatsu BadgeShuma Nagamatsu2.7420.424MF8
19Tomasz Wójtowicz BadgeTomasz Wójtowicz2.6920.3219DF9
20Lucjan Klisiewicz BadgeLucjan Klisiewicz2.6120.319FW9
21Fabian Piasecki BadgeFabian Piasecki2.621.0415FW3
22Mateusz Cholewiak BadgeMateusz Cholewiak2.620.3616FW8
23Zvonimir Petrović BadgeZvonimir Petrović2.520.3216MF9
24Kamil Sabillo BadgeKamil Sabillo2.4830.3310FW9
25Szymon Kobusiński BadgeSzymon Kobusiński2.4330.517MF7

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

xGA Overall (Per Match)

xG (Expected Goals) By Teams in 1. Liga


Which Team Has The Best xG?

Currently, MKP Pogoń Siedlce has the best xG (Expected Goals For) in the 1. Liga with 1.09 xG per game.

Which Team Has The Worst xG?

Currently, FKS Stal Mielec has the worst xG (Expected Goals For) in the 1. Liga with 1.55 xG per game.

Who Has The Best xG at Home?

The team with the best xG when playing at home this season is KS Lechia Gdańsk, who has an xG of 2.14 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 MKP Pogoń Siedlce, who is expected to score just 1.00 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 MKS Miedź Legnica, who is expected to score 1.87 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 MKP Pogoń Siedlce, who is expected to score just 1.23 goals per game in their opponents stadium.

Who Has The Best xGA?

KSP Polonia Warszawa has the best xGA (Expected Goals Against) in the 1. Liga with just 1.16 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?

KS Warta Poznań has the best xGA (Expected Goals Against) in the 1. Liga when playing at home with just 1.04 goals expected against them per game. They are formidable when playing at home.

Who Has The Best xGA Away From Home?

KSP Polonia Warszawa has the best xGA (Expected Goals Against) in the 1. Liga when playing away from home with just 1.14 goals expected against them per game. Very frustrating for those home fans who must watch their team face KSP Polonia Warszawa.

Who Has The Worst xGA?

Fans of MKP Pogoń Siedlce will demand better defending in the future, with 1.91 xGA (Goals Expected Against). The worst of all teams in the 1. Liga 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 MKS Miedź Legnica, who is expected to concede 1.95 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 MKP Pogoń Siedlce, who is expected to concede 2.30 goals per game whilst on their travels.

How is the xG calculated for 1. Liga?

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 1. Liga. 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 1. Liga's xG data.

xG (Expected Goals) - Poland

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