xG (Expected Goals) - 1st Division

xG Per 90, including xG Difference

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

FC Fredericia

1st Division (Div. 2)

League Pos. 3 / 12

Denmark

Form Last 5 PPG
Overall
  • D
  • L
  • W
  • D
  • D
1.56
Home
  • W
  • D
  • D
  • W
  • D
1.80
Away
  • D
  • W
  • L
  • D
1.25
Statistics Overall Home Away
Win % 33% 40% 25%
AVG 2.00 2.00 2.00
Scored 1.33 1.40 1.25
Conceded 0.67 0.60 0.75
BTTS 44% 40% 50%
CS 56% 60% 50%

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92.511.20+1.311.330.67-1.18
2Vejle Boldklub BadgeVejle Boldklub
Vejle Boldklub

Vejle Boldklub

1st Division (Div. 2)

League Pos. 2 / 12

Denmark

Form Last 5 PPG
Overall
  • W
  • D
  • W
  • D
  • D
2.11
Home
  • D
  • W
  • W
  • W
2.50
Away
  • W
  • W
  • D
  • D
  • D
1.80
Statistics Overall Home Away
Win % 56% 75% 40%
AVG 3.89 6.00 2.20
Scored 2.44 3.75 1.40
Conceded 1.44 2.25 0.80
BTTS 67% 100% 40%
CS 33% 0% 60%

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92.071.51+0.562.441.44+0.37
3Hvidovre IF BadgeHvidovre IF
Hvidovre IF

Hvidovre IF

1st Division (Div. 2)

League Pos. 1 / 12

Denmark

Form Last 5 PPG
Overall
  • D
  • W
  • W
  • D
  • W
2.33
Home
  • D
  • W
  • W
  • D
2.00
Away
  • W
  • W
  • D
  • W
  • W
2.60
Statistics Overall Home Away
Win % 67% 50% 80%
AVG 3.00 3.50 2.60
Scored 2.00 2.00 2.00
Conceded 1.00 1.50 0.60
BTTS 78% 100% 60%
CS 22% 0% 40%

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91.881.68+0.202.001.00+0.12
4HB Køge BadgeHB Køge
HB Køge

HB Køge

1st Division (Div. 2)

League Pos. 11 / 12

Denmark

Form Last 5 PPG
Overall
  • D
  • D
  • D
  • D
  • W
0.78
Home
  • L
  • L
  • D
  • D
  • W
1.00
Away
  • L
  • L
  • D
  • D
0.50
Statistics Overall Home Away
Win % 11% 20% 0%
AVG 3.11 3.40 2.75
Scored 1.22 1.60 0.75
Conceded 1.89 1.80 2.00
BTTS 56% 60% 50%
CS 11% 0% 25%

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91.641.61+0.031.221.89-0.42
5Kolding IF BadgeKolding IF
Kolding IF

Kolding IF

1st Division (Div. 2)

League Pos. 10 / 12

Denmark

Form Last 5 PPG
Overall
  • D
  • W
  • L
  • D
  • D
0.89
Home
  • L
  • L
  • W
  • D
  • D
1.00
Away
  • D
  • D
  • D
  • L
0.75
Statistics Overall Home Away
Win % 11% 20% 0%
AVG 2.44 2.20 2.75
Scored 1.11 1.00 1.25
Conceded 1.33 1.20 1.50
BTTS 78% 60% 100%
CS 11% 20% 0%

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91.631.42+0.211.111.33-0.52
6Aalborg BK BadgeAalborg BK
Aalborg BK

Aalborg BK

1st Division (Div. 2)

League Pos. 5 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • D
  • W
  • D
  • D
1.44
Home
  • W
  • D
  • L
  • D
  • D
1.20
Away
  • W
  • L
  • W
  • D
1.75
Statistics Overall Home Away
Win % 33% 20% 50%
AVG 2.44 2.00 3.00
Scored 1.22 0.80 1.75
Conceded 1.22 1.20 1.25
BTTS 56% 40% 75%
CS 33% 40% 25%

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91.541.52+0.021.221.22-0.32
7Akademisk Boldklub BadgeAkademisk Boldklub
Akademisk Boldklub

Akademisk Boldklub

1st Division (Div. 2)

League Pos. 8 / 12

Denmark

Form Last 5 PPG
Overall
  • D
  • L
  • L
  • L
  • W
1.00
Home
  • D
  • D
  • L
  • W
1.25
Away
  • D
  • L
  • W
  • L
  • L
0.80
Statistics Overall Home Away
Win % 22% 25% 20%
AVG 2.33 2.25 2.40
Scored 1.22 1.25 1.20
Conceded 1.11 1.00 1.20
BTTS 44% 50% 40%
CS 22% 25% 20%

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91.441.59-0.151.221.11-0.22
8Esbjerg fB BadgeEsbjerg fB
Esbjerg fB

Esbjerg fB

1st Division (Div. 2)

League Pos. 12 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • L
  • L
  • D
  • L
0.56
Home
  • D
  • L
  • L
  • D
0.50
Away
  • W
  • L
  • L
  • L
  • L
0.60
Statistics Overall Home Away
Win % 11% 0% 20%
AVG 3.22 2.75 3.60
Scored 1.11 1.00 1.20
Conceded 2.11 1.75 2.40
BTTS 67% 75% 60%
CS 0% 0% 0%

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91.431.86-0.431.112.11-0.32
9Hillerød Fodbold BadgeHillerød Fodbold
Hillerød Fodbold

Hillerød Fodbold

1st Division (Div. 2)

League Pos. 9 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • W
  • D
  • W
  • D
1.00
Home
  • L
  • D
  • W
  • W
1.75
Away
  • L
  • L
  • L
  • D
  • D
0.40
Statistics Overall Home Away
Win % 22% 50% 0%
AVG 3.00 3.00 3.00
Scored 1.44 1.75 1.20
Conceded 1.56 1.25 1.80
BTTS 67% 75% 60%
CS 11% 25% 0%

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91.421.95-0.531.441.56+0.02
10Vendsyssel FF BadgeVendsyssel FF
Vendsyssel FF

Vendsyssel FF

1st Division (Div. 2)

League Pos. 7 / 12

Denmark

Form Last 5 PPG
Overall
  • W
  • W
  • L
  • D
  • D
1.11
Home
  • L
  • L
  • W
  • D
1.00
Away
  • D
  • D
  • W
  • L
  • D
1.20
Statistics Overall Home Away
Win % 22% 25% 20%
AVG 2.67 1.75 3.40
Scored 1.11 0.50 1.60
Conceded 1.56 1.25 1.80
BTTS 56% 25% 80%
CS 33% 50% 20%

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91.401.85-0.451.111.56-0.29
11Aarhus Fremad BadgeAarhus Fremad
Aarhus Fremad

Aarhus Fremad

1st Division (Div. 2)

League Pos. 4 / 12

Denmark

Form Last 5 PPG
Overall
  • D
  • D
  • W
  • D
  • L
1.44
Home
  • L
  • W
  • D
  • W
  • L
1.40
Away
  • W
  • D
  • D
  • D
1.50
Statistics Overall Home Away
Win % 33% 40% 25%
AVG 2.11 2.80 1.25
Scored 1.11 1.40 0.75
Conceded 1.00 1.40 0.50
BTTS 67% 80% 50%
CS 33% 20% 50%

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91.251.61-0.361.111.00-0.14
12Hobro IK BadgeHobro IK
Hobro IK

Hobro IK

1st Division (Div. 2)

League Pos. 6 / 12

Denmark

Form Last 5 PPG
Overall
  • W
  • L
  • L
  • D
  • L
1.44
Home
  • L
  • W
  • W
  • L
  • D
1.40
Away
  • W
  • W
  • L
  • L
1.50
Statistics Overall Home Away
Win % 44% 40% 50%
AVG 3.11 2.20 4.25
Scored 1.33 1.00 1.75
Conceded 1.78 1.20 2.50
BTTS 78% 60% 100%
CS 22% 40% 0%

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91.221.62-0.401.331.78+0.11

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
1Tobias Bach BadgeTobias Bach6.2470.727FW9
2Donavan Kafo Bagou BadgeDonavan Kafo Bagou5.9360.7828FW9
3Mikkel Duelund BadgeMikkel Duelund5.950.7640MF9
4Milan Justin Silva Rasmussen BadgeMilan Justin Silva Rasmussen5.3250.6227FW9
5Kornelius Normann Hansen BadgeKornelius Normann Hansen4.430.6132FW9
6Magnus Kaastrup Larsen BadgeMagnus Kaastrup Larsen4.1940.4727FW9
7Louka Andreasen BadgeLouka Andreasen4.0220.5334FW9
8Tobias Thomsen BadgeTobias Thomsen3.7130.4328FW9
9Oliver Kjærgaard BadgeOliver Kjærgaard3.530.3924FW9
10Sterling Yateke BadgeSterling Yateke3.3430.7719FW6
11Nemo Thomsen BadgeNemo Thomsen3.3410.6233MF9
12Lasse Steffensen BadgeLasse Steffensen3.1120.3729FW9
13Wahidullah Faghir BadgeWahidullah Faghir3.0330.7118FW8
14Muamer Brajanac BadgeMuamer Brajanac2.8110.3229FW9
15Frederik Thykær Rieper BadgeFrederik Thykær Rieper2.7930.3113DF9
16Saman Jalaei BadgeSaman Jalaei2.7320.6717FW6
17Jonatan Holm Lindekilde BadgeJonatan Holm Lindekilde2.7310.5222MF6
18Tobias Augustinus-Jensen BadgeTobias Augustinus-Jensen2.6920.3320FW9
19Lucas Skjoldborg From BadgeLucas Skjoldborg From2.6520.4215MF8
20Emil Grønn Pedersen BadgeEmil Grønn Pedersen2.6220.6718FW8
21Rory Brown BadgeRory Brown2.5620.4519FW9
22Frederik Dietz Nielsen BadgeFrederik Dietz Nielsen2.4630.319DF8
23Isak Frederik Tånnander BadgeIsak Frederik Tånnander2.3420.4113FW8
24Fisnik Isaki BadgeFisnik Isaki2.3431.078MF3
25Søren Andreasen BadgeSøren Andreasen2.3220.3413FW9

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, FC Fredericia has the best xG (Expected Goals For) in the 1st Division with 2.51 xG per game.

Which Team Has The Worst xG?

Currently, Hobro IK has the worst xG (Expected Goals For) in the 1st Division with 1.22 xG per game.

Who Has The Best xG at Home?

The team with the best xG when playing at home this season is FC Fredericia, who has an xG of 2.65 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 Aarhus Fremad, who is expected to score just 1.17 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 FC Fredericia, who is expected to score 2.34 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 Hobro IK, who is expected to score just 1.22 goals per game in their opponents stadium.

Who Has The Best xGA?

FC Fredericia has the best xGA (Expected Goals Against) in the 1st Division with just 1.20 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 Fredericia has the best xGA (Expected Goals Against) in the 1st Division 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?

Kolding IF has the best xGA (Expected Goals Against) in the 1st Division when playing away from home with just 1.38 goals expected against them per game. Very frustrating for those home fans who must watch their team face Kolding IF.

Who Has The Worst xGA?

Fans of Esbjerg fB will demand better defending in the future, with 1.86 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 Hvidovre IF, who is expected to concede 1.79 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 Hillerød Fodbold, who is expected to concede 2.17 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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