xG (Expected Goals) - 1st Division

xG Per 90, including xG Difference

# TeamMP
Matches Played
xGxGAxGDGFGAxG vs Actual
1Lyngby Boldklub BadgeLyngby Boldklub
Lyngby Boldklub

Lyngby Boldklub

1st Division (Div. 2)

League Pos. 6 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • W
  • W
  • W
  • D
1.91
Home
  • D
  • W
  • W
  • W
  • W
1.91
Away
  • L
  • W
  • L
  • W
  • D
1.91
Statistics Overall Home Away
Win % 55% 55% 55%
AVG 3.36 3.00 3.73
Scored 2.23 2.09 2.36
Conceded 1.14 0.91 1.36
BTTS 59% 55% 64%
CS 36% 45% 27%

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221.661.25+0.412.231.14+0.57
2Aarhus Fremad BadgeAarhus Fremad
Aarhus Fremad

Aarhus Fremad

1st Division (Div. 2)

League Pos. 2 / 12

Denmark

Form Last 5 PPG
Overall
  • D
  • W
  • W
  • D
  • L
1.23
Home
  • L
  • D
  • D
  • W
  • D
1.45
Away
  • D
  • L
  • D
  • W
  • L
1.00
Statistics Overall Home Away
Win % 27% 36% 18%
AVG 2.68 2.91 2.45
Scored 1.45 1.82 1.09
Conceded 1.23 1.09 1.36
BTTS 55% 55% 55%
CS 23% 27% 18%

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221.621.39+0.231.451.23-0.17
3Esbjerg fB BadgeEsbjerg fB
Esbjerg fB

Esbjerg fB

1st Division (Div. 2)

League Pos. 1 / 12

Denmark

Form Last 5 PPG
Overall
  • W
  • W
  • W
  • D
  • D
1.68
Home
  • D
  • W
  • W
  • W
  • D
1.91
Away
  • W
  • L
  • W
  • W
  • D
1.45
Statistics Overall Home Away
Win % 50% 55% 45%
AVG 2.77 3.18 2.36
Scored 1.45 1.73 1.18
Conceded 1.32 1.45 1.18
BTTS 55% 73% 36%
CS 18% 9% 27%

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221.571.47+0.101.451.32-0.12
4Boldklubben af 1893 BadgeBoldklubben af 1893
Boldklubben af 1893

Boldklubben af 1893

1st Division (Div. 2)

League Pos. 3 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • L
  • W
  • W
  • L
1.27
Home
  • W
  • L
  • L
  • L
  • W
0.91
Away
  • W
  • L
  • D
  • W
  • L
1.64
Statistics Overall Home Away
Win % 36% 27% 45%
AVG 2.82 2.73 2.91
Scored 1.18 0.91 1.45
Conceded 1.64 1.82 1.45
BTTS 55% 45% 64%
CS 23% 27% 18%

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221.561.70-0.141.181.64-0.38
5Aalborg BK BadgeAalborg BK
Aalborg BK

Aalborg BK

1st Division (Div. 2)

League Pos. 1 / 12

Denmark

Form Last 5 PPG
Overall
  • D
  • D
  • L
  • L
  • D
1.27
Home
  • W
  • L
  • D
  • L
  • D
1.64
Away
  • D
  • W
  • D
  • D
  • L
0.91
Statistics Overall Home Away
Win % 32% 45% 18%
AVG 2.91 3.18 2.64
Scored 1.50 1.91 1.09
Conceded 1.41 1.27 1.55
BTTS 50% 45% 55%
CS 23% 27% 18%

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221.491.54-0.051.501.41+0.01
6Kolding IF BadgeKolding IF
Kolding IF

Kolding IF

1st Division (Div. 2)

League Pos. 5 / 12

Denmark

Form Last 5 PPG
Overall
  • D
  • L
  • W
  • D
  • W
1.50
Home
  • W
  • L
  • D
  • W
  • W
1.82
Away
  • L
  • D
  • W
  • L
  • D
1.18
Statistics Overall Home Away
Win % 41% 55% 27%
AVG 2.36 2.45 2.27
Scored 1.32 1.45 1.18
Conceded 1.05 1.00 1.09
BTTS 50% 55% 45%
CS 36% 36% 36%

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221.461.41+0.051.321.05-0.14
7Hillerød Fodbold BadgeHillerød Fodbold
Hillerød Fodbold

Hillerød Fodbold

1st Division (Div. 2)

League Pos. 2 / 12

Denmark

Form Last 5 PPG
Overall
  • W
  • D
  • L
  • D
  • W
1.68
Home
  • D
  • D
  • W
  • L
  • W
1.91
Away
  • W
  • D
  • L
  • D
  • D
1.45
Statistics Overall Home Away
Win % 45% 55% 36%
AVG 2.82 2.36 3.27
Scored 1.50 1.45 1.55
Conceded 1.32 0.91 1.73
BTTS 73% 55% 91%
CS 18% 27% 9%

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221.441.37+0.071.501.32+0.06
8Hobro IK BadgeHobro IK
Hobro IK

Hobro IK

1st Division (Div. 2)

League Pos. 5 / 12

Denmark

Form Last 5 PPG
Overall
  • W
  • D
  • L
  • W
  • W
1.14
Home
  • L
  • W
  • L
  • D
  • W
1.09
Away
  • D
  • L
  • W
  • L
  • W
1.18
Statistics Overall Home Away
Win % 27% 27% 27%
AVG 2.41 2.36 2.45
Scored 1.00 1.00 1.00
Conceded 1.41 1.36 1.45
BTTS 45% 45% 45%
CS 32% 36% 27%

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221.381.49-0.111.001.41-0.38
9HB Køge BadgeHB Køge
HB Køge

HB Køge

1st Division (Div. 2)

League Pos. 4 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • D
  • L
  • L
  • D
0.91
Home
  • W
  • D
  • L
  • L
  • D
1.27
Away
  • L
  • W
  • D
  • D
  • L
0.55
Statistics Overall Home Away
Win % 23% 36% 9%
AVG 3.05 2.36 3.73
Scored 1.18 1.09 1.27
Conceded 1.86 1.27 2.45
BTTS 64% 45% 82%
CS 9% 18% 0%

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221.381.66-0.281.181.86-0.20
10Hvidovre IF BadgeHvidovre IF
Hvidovre IF

Hvidovre IF

1st Division (Div. 2)

League Pos. 4 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • W
  • W
  • D
  • W
1.77
Home
  • D
  • W
  • D
  • L
  • D
1.45
Away
  • D
  • W
  • W
  • W
  • W
2.09
Statistics Overall Home Away
Win % 45% 27% 64%
AVG 2.59 2.73 2.45
Scored 1.55 1.55 1.55
Conceded 1.05 1.18 0.91
BTTS 59% 73% 45%
CS 36% 27% 45%

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221.381.33+0.051.551.05+0.17
11AC Horsens BadgeAC Horsens
AC Horsens

AC Horsens

1st Division (Div. 2)

League Pos. 3 / 12

Denmark

Form Last 5 PPG
Overall
  • D
  • L
  • L
  • D
  • L
1.36
Home
  • L
  • W
  • D
  • L
  • L
1.36
Away
  • W
  • L
  • W
  • L
  • D
1.36
Statistics Overall Home Away
Win % 36% 36% 36%
AVG 2.27 2.91 1.64
Scored 1.18 1.36 1.00
Conceded 1.09 1.55 0.64
BTTS 41% 55% 27%
CS 45% 36% 55%

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221.371.25+0.121.181.09-0.19
12Middelfart G & BK BadgeMiddelfart G & BK
Middelfart G & BK

Middelfart G & BK

1st Division (Div. 2)

League Pos. 6 / 12

Denmark

Form Last 5 PPG
Overall
  • W
  • L
  • L
  • L
  • L
0.55
Home
  • L
  • L
  • D
  • L
  • L
0.64
Away
  • L
  • L
  • W
  • L
  • L
0.45
Statistics Overall Home Away
Win % 9% 9% 9%
AVG 2.95 2.82 3.09
Scored 0.95 1.09 0.82
Conceded 2.00 1.73 2.27
BTTS 59% 64% 55%
CS 9% 9% 9%

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221.201.69-0.490.952.00-0.25

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

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 1st Division Expected Points Table.

Players with the Most xG

# PlayerxG TotalGoalsxG / 90'ShotsPositionApps
1Adrian Rúnason Justinussen BadgeAdrian Rúnason Justinussen10.69100.656MF20
2Kasper Andersen BadgeKasper Andersen10.4790.5263FW22
3Kelvin Pius John BadgeKelvin Pius John8.6570.4153FW22
4Isak Thorvaldsson BadgeIsak Thorvaldsson7.5570.5337MF21
5Isak Frederik Tånnander BadgeIsak Frederik Tånnander7.2560.4546MF20
6Christian Tue Jensen BadgeChristian Tue Jensen7.2160.3649MF22
7Muamer Brajanac BadgeMuamer Brajanac7.1370.4332FW18
8Oliver Klitten BadgeOliver Klitten7.1250.3347FW22
9Frederik Gytkjær BadgeFrederik Gytkjær7.190.6820MF18
10Carl Björk BadgeCarl Björk6.7750.3744MF21
11Søren Andreasen BadgeSøren Andreasen6.1150.4439FW21
12Sebastian Pingel BadgeSebastian Pingel6.1150.735FW15
13Mikkel Wohlgemuth BadgeMikkel Wohlgemuth5.9760.3929MF17
14Jerailly Wielzen BadgeJerailly Wielzen5.8140.3243FW22
15Marco Bruhn BadgeMarco Bruhn5.7260.626MF22
16Casper Kaarsbo Winther BadgeCasper Kaarsbo Winther5.7260.3725MF18
17Mathias Nordestgaard Kubel BadgeMathias Nordestgaard Kubel5.750.3433MF21
18Alfred Gøthler BadgeAlfred Gøthler5.550.4632MF22
19Kornelius Normann Hansen BadgeKornelius Normann Hansen5.560.5326MF14
20Marvin Egho BadgeMarvin Egho5.4950.3333FW22
21Magnus Kaastrup Larsen BadgeMagnus Kaastrup Larsen5.4130.3644FW22
22Andreas Sejr Lausen BadgeAndreas Sejr Lausen5.3330.2752MF22
23Fisnik Isaki BadgeFisnik Isaki5.1840.3533MF22
24Kristian Kirkegaard BadgeKristian Kirkegaard5.1840.3133MF21
25Vladislav Morozov BadgeVladislav Morozov5.1150.625MF13

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

xG Overall (Per Match)

xG Home

xG Away

xGA Overall (Per Match)

xGA Home

xGA Away

xG (Expected Goals) By Teams in 1st Division


Which Team Has The Best xG?

Currently, Lyngby Boldklub has the best xG (Expected Goals For) in the 1st Division with 1.66 xG per game.

Which Team Has The Worst xG?

Currently, Middelfart G & BK has the worst xG (Expected Goals For) in the 1st Division with 1.20 xG per game.

Who Has The Best xG at Home?

The team with the best xG when playing at home this season is Lyngby Boldklub, who has an xG of 1.72 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 Middelfart G & BK, who is expected to score just 1.24 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 Aarhus Fremad, who is expected to score 1.73 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 Middelfart G & BK, who is expected to score just 1.15 goals per game in their opponents stadium.

Who Has The Best xGA?

Lyngby Boldklub has the best xGA (Expected Goals Against) in the 1st Division with just 1.25 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?

Lyngby Boldklub has the best xGA (Expected Goals Against) in the 1st Division when playing at home with just 1.07 goals expected against them per game. They are formidable when playing at home.

Who Has The Best xGA Away From Home?

AC Horsens has the best xGA (Expected Goals Against) in the 1st Division when playing away from home with just 1.08 goals expected against them per game. Very frustrating for those home fans who must watch their team face AC Horsens.

Who Has The Worst xGA?

Fans of Boldklubben af 1893 will demand better defending in the future, with 1.70 xGA (Goals Expected Against). The worst of all teams in the 1st Division 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 Boldklubben af 1893, who is expected to concede 1.85 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 Middelfart G & BK, who is expected to concede 1.88 goals per game whilst on their travels.

How is the xG calculated for 1st Division?

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 1st Division. 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 1st Division's xG data.

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