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
  • W
  • W
  • L
  • W
  • L
1.64
Home
  • D
  • W
  • D
  • W
  • W
2.14
Away
  • L
  • D
  • W
  • L
  • L
1.14
Statistics Overall Home Away
Win % 43% 57% 29%
AVG 2.21 2.43 2.00
Scored 1.50 1.86 1.14
Conceded 0.71 0.57 0.86
BTTS 43% 43% 43%
CS 50% 57% 43%

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142.471.27+1.201.500.71-0.97
2Vejle Boldklub BadgeVejle Boldklub
Vejle Boldklub

Vejle Boldklub

1st Division (Div. 2)

League Pos. 2 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • W
  • D
  • D
  • W
1.93
Home
  • W
  • W
  • L
  • D
  • W
2.00
Away
  • D
  • D
  • D
  • W
  • D
1.86
Statistics Overall Home Away
Win % 50% 57% 43%
AVG 3.00 4.00 2.00
Scored 1.86 2.43 1.29
Conceded 1.14 1.57 0.71
BTTS 57% 71% 43%
CS 43% 29% 57%

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142.041.44+0.601.861.14-0.18
3Hvidovre IF BadgeHvidovre IF
Hvidovre IF

Hvidovre IF

1st Division (Div. 2)

League Pos. 1 / 12

Denmark

Form Last 5 PPG
Overall
  • W
  • W
  • W
  • D
  • D
2.23
Home
  • W
  • W
  • D
  • W
  • D
2.00
Away
  • D
  • W
  • W
  • W
  • D
2.43
Statistics Overall Home Away
Win % 62% 50% 71%
AVG 2.85 3.17 2.57
Scored 1.85 1.83 1.86
Conceded 1.00 1.33 0.71
BTTS 77% 83% 71%
CS 23% 17% 29%

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131.831.58+0.251.851.00+0.02
4HB Køge BadgeHB Køge
HB Køge

HB Køge

1st Division (Div. 2)

League Pos. 11 / 12

Denmark

Form Last 5 PPG
Overall
  • W
  • W
  • L
  • D
  • L
0.85
Home
  • L
  • D
  • D
  • W
  • L
0.83
Away
  • D
  • D
  • W
  • D
  • L
0.86
Statistics Overall Home Away
Win % 15% 17% 14%
AVG 3.38 3.67 3.14
Scored 1.46 1.67 1.29
Conceded 1.92 2.00 1.86
BTTS 62% 67% 57%
CS 15% 0% 29%

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131.631.64-0.011.461.92-0.17
5Kolding IF BadgeKolding IF
Kolding IF

Kolding IF

1st Division (Div. 2)

League Pos. 7 / 12

Denmark

Form Last 5 PPG
Overall
  • D
  • D
  • W
  • L
  • W
1.15
Home
  • W
  • D
  • D
  • W
  • W
1.57
Away
  • D
  • D
  • L
  • D
  • L
0.67
Statistics Overall Home Away
Win % 23% 43% 0%
AVG 2.54 2.71 2.33
Scored 1.23 1.43 1.00
Conceded 1.31 1.29 1.33
BTTS 77% 71% 83%
CS 8% 14% 0%

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131.611.57+0.041.231.31-0.38
6Akademisk Boldklub BadgeAkademisk Boldklub
Akademisk Boldklub

Akademisk Boldklub

1st Division (Div. 2)

League Pos. 4 / 12

Denmark

Form Last 5 PPG
Overall
  • W
  • W
  • W
  • W
  • L
1.38
Home
  • D
  • L
  • W
  • W
  • W
1.83
Away
  • W
  • L
  • L
  • W
  • L
1.00
Statistics Overall Home Away
Win % 38% 50% 29%
AVG 2.54 2.00 3.00
Scored 1.38 1.33 1.43
Conceded 1.15 0.67 1.57
BTTS 46% 33% 57%
CS 31% 50% 14%

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131.581.55+0.031.381.15-0.20
7Aalborg BK BadgeAalborg BK
Aalborg BK

Aalborg BK

1st Division (Div. 2)

League Pos. 8 / 12

Denmark

Form Last 5 PPG
Overall
  • D
  • D
  • L
  • L
  • D
1.15
Home
  • L
  • D
  • D
  • L
  • D
1.00
Away
  • L
  • W
  • D
  • D
  • L
1.33
Statistics Overall Home Away
Win % 23% 14% 33%
AVG 2.62 1.86 3.50
Scored 1.23 0.71 1.83
Conceded 1.38 1.14 1.67
BTTS 62% 43% 83%
CS 23% 29% 17%

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131.541.41+0.131.231.38-0.31
8Vendsyssel FF BadgeVendsyssel FF
Vendsyssel FF

Vendsyssel FF

1st Division (Div. 2)

League Pos. 10 / 12

Denmark

Form Last 5 PPG
Overall
  • D
  • L
  • L
  • D
  • D
0.92
Home
  • L
  • W
  • D
  • L
  • D
0.83
Away
  • W
  • L
  • D
  • L
  • D
1.00
Statistics Overall Home Away
Win % 15% 17% 14%
AVG 2.69 1.83 3.43
Scored 1.08 0.50 1.57
Conceded 1.62 1.33 1.86
BTTS 62% 33% 86%
CS 23% 33% 14%

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131.441.94-0.501.081.62-0.36
9Esbjerg fB BadgeEsbjerg fB
Esbjerg fB

Esbjerg fB

1st Division (Div. 2)

League Pos. 12 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • D
  • D
  • W
  • D
0.85
Home
  • L
  • D
  • D
  • W
  • D
1.00
Away
  • L
  • L
  • L
  • L
  • D
0.67
Statistics Overall Home Away
Win % 15% 14% 17%
AVG 3.08 3.14 3.00
Scored 1.23 1.43 1.00
Conceded 1.85 1.71 2.00
BTTS 69% 86% 50%
CS 8% 0% 17%

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131.341.95-0.611.231.85-0.11
10Aarhus Fremad BadgeAarhus Fremad
Aarhus Fremad

Aarhus Fremad

1st Division (Div. 2)

League Pos. 5 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • L
  • D
  • D
  • W
1.38
Home
  • D
  • W
  • L
  • D
  • W
1.57
Away
  • D
  • D
  • D
  • L
  • D
1.17
Statistics Overall Home Away
Win % 31% 43% 17%
AVG 1.77 2.29 1.17
Scored 0.92 1.29 0.50
Conceded 0.85 1.00 0.67
BTTS 46% 57% 33%
CS 46% 43% 50%

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131.331.51-0.180.920.85-0.41
11Hillerød Fodbold BadgeHillerød Fodbold
Hillerød Fodbold

Hillerød Fodbold

1st Division (Div. 2)

League Pos. 9 / 12

Denmark

Form Last 5 PPG
Overall
  • D
  • L
  • L
  • W
  • L
0.92
Home
  • D
  • W
  • W
  • L
  • W
1.67
Away
  • L
  • D
  • D
  • L
  • L
0.29
Statistics Overall Home Away
Win % 23% 50% 0%
AVG 2.69 2.83 2.57
Scored 1.15 1.50 0.86
Conceded 1.54 1.33 1.71
BTTS 54% 67% 43%
CS 8% 17% 0%

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131.291.88-0.591.151.54-0.14
12Hobro IK BadgeHobro IK
Hobro IK

Hobro IK

1st Division (Div. 2)

League Pos. 6 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • D
  • L
  • D
  • D
1.23
Home
  • W
  • L
  • D
  • D
  • D
1.29
Away
  • W
  • L
  • L
  • L
  • D
1.17
Statistics Overall Home Away
Win % 31% 29% 33%
AVG 3.00 2.43 3.67
Scored 1.23 1.14 1.33
Conceded 1.77 1.29 2.33
BTTS 77% 71% 83%
CS 15% 29% 0%

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131.231.73-0.501.231.770.00

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
1Mikkel Duelund BadgeMikkel Duelund8.2870.7155MF14
2Donavan Kafo Bagou BadgeDonavan Kafo Bagou7.7670.7343FW13
3Milan Justin Silva Rasmussen BadgeMilan Justin Silva Rasmussen7.4370.6441FW13
4Tobias Bach BadgeTobias Bach6.7470.5335FW14
5Oliver Kjærgaard BadgeOliver Kjærgaard5.5750.4334FW13
6Tobias Thomsen BadgeTobias Thomsen5.0340.437FW13
7Louka Andreasen BadgeLouka Andreasen5.0130.4542FW13
8Emilio Simonsen BadgeEmilio Simonsen4.9430.5437MF12
9Jonatan Holm Lindekilde BadgeJonatan Holm Lindekilde4.8420.5539MF11
10Kornelius Normann Hansen BadgeKornelius Normann Hansen4.7130.4837FW13
11Magnus Kaastrup Larsen BadgeMagnus Kaastrup Larsen4.7140.3834FW13
12Serigne Diop BadgeSerigne Diop4.6640.6328FW12
13Muamer Brajanac BadgeMuamer Brajanac4.4220.3536FW13
14James Ampofo BadgeJames Ampofo4.2740.5826FW8
15Asbjorn Bondergaard BadgeAsbjorn Bondergaard4.0240.6223FW8
16Wahidullah Faghir BadgeWahidullah Faghir3.9330.5629FW12
17Lasse Steffensen BadgeLasse Steffensen3.6920.3234FW12
18Tobias Augustinus-Jensen BadgeTobias Augustinus-Jensen3.6220.3132FW13
19Frederik Thykær Rieper BadgeFrederik Thykær Rieper3.5840.2815DF14
20Frederik Rasmus Christensen BadgeFrederik Rasmus Christensen3.5540.6713FW8
21Nemo Thomsen BadgeNemo Thomsen3.4610.634MF13
22Søren Andreasen BadgeSøren Andreasen3.3830.3218FW13
23Sterling Yateke BadgeSterling Yateke3.3430.6619FW7
24Rory Brown BadgeRory Brown3.0320.3326FW13
25Lucas Skjoldborg From BadgeLucas Skjoldborg From3.0220.3221MF13

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 2.47 xG per game.

Which Team Has The Worst xG?

Currently, Hobro IK has the worst xG (Expected Goals For) in the 1st Division with 1.23 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 2.62 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 2.31 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 1.11 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 1.27 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 1.10 goals expected against them per game. They are formidable when playing at home.

Who Has The Best xGA Away From Home?

Aalborg BK has the best xGA (Expected Goals Against) in the 1st Division when playing away from home with just 1.30 goals expected against them per game. Very frustrating for those home fans who must watch their team face Aalborg BK.

Who Has The Worst xGA?

Fans of Vendsyssel FF will demand better defending in the future, with 1.94 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 Esbjerg fB, who is expected to concede 1.87 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 Vendsyssel FF, who is expected to concede 2.11 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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