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
  • L
  • W
  • D
  • D
  • W
1.70
Home
  • W
  • D
  • D
  • W
  • D
1.80
Away
  • D
  • W
  • L
  • D
  • W
1.60
Statistics Overall Home Away
Win % 40% 40% 40%
AVG 2.00 2.00 2.00
Scored 1.40 1.40 1.40
Conceded 0.60 0.60 0.60
BTTS 40% 40% 40%
CS 60% 60% 60%

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102.501.19+1.311.400.60-1.10
2Vejle Boldklub BadgeVejle Boldklub
Vejle Boldklub

Vejle Boldklub

1st Division (Div. 2)

League Pos. 2 / 12

Denmark

Form Last 5 PPG
Overall
  • D
  • W
  • D
  • D
  • L
1.90
Home
  • D
  • W
  • W
  • W
  • L
2.00
Away
  • W
  • W
  • D
  • D
  • D
1.80
Statistics Overall Home Away
Win % 50% 60% 40%
AVG 3.80 5.40 2.20
Scored 2.30 3.20 1.40
Conceded 1.50 2.20 0.80
BTTS 70% 100% 40%
CS 30% 0% 60%

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102.091.53+0.562.301.50+0.21
3Hvidovre IF BadgeHvidovre IF
Hvidovre IF

Hvidovre IF

1st Division (Div. 2)

League Pos. 1 / 12

Denmark

Form Last 5 PPG
Overall
  • W
  • W
  • D
  • W
  • W
2.40
Home
  • D
  • W
  • W
  • D
2.00
Away
  • W
  • D
  • W
  • W
  • W
2.67
Statistics Overall Home Away
Win % 70% 50% 83%
AVG 3.00 3.50 2.67
Scored 2.00 2.00 2.00
Conceded 1.00 1.50 0.67
BTTS 80% 100% 67%
CS 20% 0% 33%

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101.861.73+0.132.001.00+0.14
4HB Køge BadgeHB Køge
HB Køge

HB Køge

1st Division (Div. 2)

League Pos. 9 / 12

Denmark

Form Last 5 PPG
Overall
  • D
  • D
  • W
  • W
  • L
0.91
Home
  • L
  • D
  • D
  • W
  • L
0.83
Away
  • L
  • L
  • D
  • D
  • W
1.00
Statistics Overall Home Away
Win % 18% 17% 20%
AVG 3.18 3.67 2.60
Scored 1.36 1.67 1.00
Conceded 1.82 2.00 1.60
BTTS 55% 67% 40%
CS 18% 0% 40%

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111.671.60+0.071.361.82-0.31
5Kolding IF BadgeKolding IF
Kolding IF

Kolding IF

1st Division (Div. 2)

League Pos. 8 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • D
  • D
  • D
  • W
1.09
Home
  • L
  • W
  • D
  • D
  • W
1.33
Away
  • D
  • D
  • D
  • L
  • D
0.80
Statistics Overall Home Away
Win % 18% 33% 0%
AVG 2.45 2.33 2.60
Scored 1.18 1.17 1.20
Conceded 1.27 1.17 1.40
BTTS 82% 67% 100%
CS 9% 17% 0%

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111.661.50+0.161.181.27-0.48
6Aalborg BK BadgeAalborg BK
Aalborg BK

Aalborg BK

1st Division (Div. 2)

League Pos. 5 / 12

Denmark

Form Last 5 PPG
Overall
  • D
  • W
  • D
  • D
  • D
1.40
Home
  • W
  • D
  • L
  • D
  • D
1.20
Away
  • W
  • L
  • W
  • D
  • D
1.60
Statistics Overall Home Away
Win % 30% 20% 40%
AVG 2.80 2.00 3.60
Scored 1.40 0.80 2.00
Conceded 1.40 1.20 1.60
BTTS 60% 40% 80%
CS 30% 40% 20%

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101.561.45+0.111.401.40-0.16
7Akademisk Boldklub BadgeAkademisk Boldklub
Akademisk Boldklub

Akademisk Boldklub

1st Division (Div. 2)

League Pos. 4 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • L
  • W
  • W
  • W
1.36
Home
  • D
  • D
  • L
  • W
  • W
1.60
Away
  • L
  • W
  • L
  • L
  • W
1.17
Statistics Overall Home Away
Win % 36% 40% 33%
AVG 2.55 2.20 2.83
Scored 1.45 1.40 1.50
Conceded 1.09 0.80 1.33
BTTS 45% 40% 50%
CS 27% 40% 17%

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111.501.58-0.081.451.09-0.05
8Vendsyssel FF BadgeVendsyssel FF
Vendsyssel FF

Vendsyssel FF

1st Division (Div. 2)

League Pos. 10 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • D
  • D
  • L
  • L
0.91
Home
  • L
  • L
  • W
  • D
  • L
0.80
Away
  • D
  • W
  • L
  • D
  • L
1.00
Statistics Overall Home Away
Win % 18% 20% 17%
AVG 2.64 1.80 3.33
Scored 1.00 0.40 1.50
Conceded 1.64 1.40 1.83
BTTS 55% 20% 83%
CS 27% 40% 17%

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111.411.93-0.521.001.64-0.41
9Hillerød Fodbold BadgeHillerød Fodbold
Hillerød Fodbold

Hillerød Fodbold

1st Division (Div. 2)

League Pos. 11 / 12

Denmark

Form Last 5 PPG
Overall
  • W
  • D
  • W
  • D
  • L
0.90
Home
  • L
  • D
  • W
  • W
  • L
1.40
Away
  • L
  • L
  • L
  • D
  • D
0.40
Statistics Overall Home Away
Win % 20% 40% 0%
AVG 2.90 2.80 3.00
Scored 1.30 1.40 1.20
Conceded 1.60 1.40 1.80
BTTS 60% 60% 60%
CS 10% 20% 0%

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101.391.99-0.601.301.60-0.09
10Esbjerg fB BadgeEsbjerg fB
Esbjerg fB

Esbjerg fB

1st Division (Div. 2)

League Pos. 12 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • D
  • L
  • D
  • D
0.64
Home
  • D
  • L
  • L
  • D
  • D
0.60
Away
  • L
  • L
  • L
  • L
  • D
0.67
Statistics Overall Home Away
Win % 9% 0% 17%
AVG 3.18 3.40 3.00
Scored 1.18 1.40 1.00
Conceded 2.00 2.00 2.00
BTTS 64% 80% 50%
CS 9% 0% 17%

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111.361.88-0.521.182.00-0.18
11Aarhus Fremad BadgeAarhus Fremad
Aarhus Fremad

Aarhus Fremad

1st Division (Div. 2)

League Pos. 6 / 12

Denmark

Form Last 5 PPG
Overall
  • W
  • D
  • L
  • L
  • D
1.27
Home
  • W
  • D
  • W
  • L
  • D
1.33
Away
  • W
  • D
  • D
  • D
  • L
1.20
Statistics Overall Home Away
Win % 27% 33% 20%
AVG 1.91 2.33 1.40
Scored 0.91 1.17 0.60
Conceded 1.00 1.17 0.80
BTTS 55% 67% 40%
CS 36% 33% 40%

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111.361.56-0.200.911.00-0.45
12Hobro IK BadgeHobro IK
Hobro IK

Hobro IK

1st Division (Div. 2)

League Pos. 7 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • L
  • D
  • L
  • D
1.40
Home
  • W
  • W
  • L
  • D
  • D
1.33
Away
  • W
  • W
  • L
  • L
1.50
Statistics Overall Home Away
Win % 40% 33% 50%
AVG 3.00 2.17 4.25
Scored 1.30 1.00 1.75
Conceded 1.70 1.17 2.50
BTTS 80% 67% 100%
CS 20% 33% 0%

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101.291.54-0.251.301.70+0.01

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
1Milan Justin Silva Rasmussen BadgeMilan Justin Silva Rasmussen7.2470.7237FW11
2Mikkel Duelund BadgeMikkel Duelund6.7160.7743MF10
3Tobias Bach BadgeTobias Bach6.5170.6531FW10
4Donavan Kafo Bagou BadgeDonavan Kafo Bagou5.9760.7229FW10
5Magnus Kaastrup Larsen BadgeMagnus Kaastrup Larsen4.7140.4334FW11
6Louka Andreasen BadgeLouka Andreasen4.6830.5637FW10
7Kornelius Normann Hansen BadgeKornelius Normann Hansen4.630.5735FW10
8Oliver Kjærgaard BadgeOliver Kjærgaard4.2940.4326FW10
9Tobias Thomsen BadgeTobias Thomsen4.0930.3934FW11
10Muamer Brajanac BadgeMuamer Brajanac4.0720.3832FW11
11Nemo Thomsen BadgeNemo Thomsen3.8510.7134MF10
12Frederik Thykær Rieper BadgeFrederik Thykær Rieper3.4540.3514DF10
13Sterling Yateke BadgeSterling Yateke3.3930.6719FW7
14Serigne Diop BadgeSerigne Diop3.1530.5917FW10
15Wahidullah Faghir BadgeWahidullah Faghir3.0830.6419FW9
16Lasse Steffensen BadgeLasse Steffensen3.0820.3230FW10
17Emil Grønn Pedersen BadgeEmil Grønn Pedersen3.0220.5123FW10
18Jonatan Holm Lindekilde BadgeJonatan Holm Lindekilde310.527MF7
19Tobias Augustinus-Jensen BadgeTobias Augustinus-Jensen2.8820.325FW11
20Lucas Skjoldborg From BadgeLucas Skjoldborg From2.8520.4217MF9
21Rory Brown BadgeRory Brown2.820.4222FW10
22Fisnik Isaki BadgeFisnik Isaki2.7830.6713MF5
23Saman Jalaei BadgeSaman Jalaei2.7420.6817FW6
24Søren Andreasen BadgeSøren Andreasen2.6420.3116FW11
25Théo Hansen BadgeThéo Hansen2.5220.315MF10

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 2.50 xG per game.

Which Team Has The Worst xG?

Currently, Hobro IK has the worst xG (Expected Goals For) in the 1st Division with 1.29 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 Esbjerg fB, who is expected to score just 1.26 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 2.35 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 1.19 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?

FC Fredericia has the best xGA (Expected Goals Against) in the 1st Division when playing away from home with just 1.34 goals expected against them per game. Very frustrating for those home fans who must watch their team face FC Fredericia.

Who Has The Worst xGA?

Fans of Vendsyssel FF will demand better defending in the future, with 1.93 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 Hillerød Fodbold, who is expected to concede 1.81 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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