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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142.471.29+1.181.500.71-0.97
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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142.061.44+0.621.861.14-0.20
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
  • L
  • D
  • L
  • D
0.86
Home
  • D
  • D
  • W
  • L
  • D
0.86
Away
  • D
  • D
  • W
  • D
  • L
0.86
Statistics Overall Home Away
Win % 14% 14% 14%
AVG 3.29 3.43 3.14
Scored 1.43 1.57 1.29
Conceded 1.86 1.86 1.86
BTTS 64% 71% 57%
CS 14% 0% 29%

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141.601.67-0.071.431.86-0.17
5Kolding IF BadgeKolding IF
Kolding IF

Kolding IF

1st Division (Div. 2)

League Pos. 8 / 12

Denmark

Form Last 5 PPG
Overall
  • D
  • W
  • L
  • W
  • L
1.07
Home
  • W
  • D
  • D
  • W
  • W
1.57
Away
  • D
  • L
  • D
  • L
  • L
0.57
Statistics Overall Home Away
Win % 21% 43% 0%
AVG 2.64 2.71 2.57
Scored 1.21 1.43 1.00
Conceded 1.43 1.29 1.57
BTTS 79% 71% 86%
CS 7% 14% 0%

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141.591.60-0.011.211.43-0.38
6Aalborg BK BadgeAalborg BK
Aalborg BK

Aalborg BK

1st Division (Div. 2)

League Pos. 6 / 12

Denmark

Form Last 5 PPG
Overall
  • D
  • L
  • L
  • D
  • D
1.14
Home
  • L
  • D
  • D
  • L
  • D
1.00
Away
  • W
  • D
  • D
  • L
  • D
1.29
Statistics Overall Home Away
Win % 21% 14% 29%
AVG 2.57 1.86 3.29
Scored 1.21 0.71 1.71
Conceded 1.36 1.14 1.57
BTTS 64% 43% 86%
CS 21% 29% 14%

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141.571.40+0.171.211.36-0.36
7Akademisk Boldklub BadgeAkademisk Boldklub
Akademisk Boldklub

Akademisk Boldklub

1st Division (Div. 2)

League Pos. 4 / 12

Denmark

Form Last 5 PPG
Overall
  • W
  • W
  • W
  • L
  • W
1.50
Home
  • L
  • W
  • W
  • W
  • W
2.00
Away
  • W
  • L
  • L
  • W
  • L
1.00
Statistics Overall Home Away
Win % 43% 57% 29%
AVG 2.57 2.14 3.00
Scored 1.50 1.57 1.43
Conceded 1.07 0.57 1.57
BTTS 43% 29% 57%
CS 36% 57% 14%

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141.571.55+0.021.501.07-0.07
8Vendsyssel FF BadgeVendsyssel FF
Vendsyssel FF

Vendsyssel FF

1st Division (Div. 2)

League Pos. 12 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • L
  • D
  • D
  • L
0.86
Home
  • L
  • W
  • D
  • L
  • D
0.83
Away
  • L
  • D
  • L
  • D
  • L
0.88
Statistics Overall Home Away
Win % 14% 17% 13%
AVG 2.71 1.83 3.38
Scored 1.00 0.50 1.38
Conceded 1.71 1.33 2.00
BTTS 57% 33% 75%
CS 21% 33% 13%

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141.451.91-0.461.001.71-0.45
9Hillerød Fodbold BadgeHillerød Fodbold
Hillerød Fodbold

Hillerød Fodbold

1st Division (Div. 2)

League Pos. 9 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • L
  • W
  • L
  • W
1.07
Home
  • W
  • W
  • L
  • W
  • W
1.86
Away
  • L
  • D
  • D
  • L
  • L
0.29
Statistics Overall Home Away
Win % 29% 57% 0%
AVG 2.79 3.00 2.57
Scored 1.29 1.71 0.86
Conceded 1.50 1.29 1.71
BTTS 57% 71% 43%
CS 7% 14% 0%

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141.341.84-0.501.291.50-0.05
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
11Esbjerg fB BadgeEsbjerg fB
Esbjerg fB

Esbjerg fB

1st Division (Div. 2)

League Pos. 10 / 12

Denmark

Form Last 5 PPG
Overall
  • D
  • D
  • W
  • D
  • W
1.00
Home
  • L
  • D
  • D
  • W
  • D
1.00
Away
  • L
  • L
  • L
  • D
  • W
1.00
Statistics Overall Home Away
Win % 21% 14% 29%
AVG 2.93 3.14 2.71
Scored 1.21 1.43 1.00
Conceded 1.71 1.71 1.71
BTTS 64% 86% 43%
CS 14% 0% 29%

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141.301.91-0.611.211.71-0.09
12Hobro IK BadgeHobro IK
Hobro IK

Hobro IK

1st Division (Div. 2)

League Pos. 7 / 12

Denmark

Form Last 5 PPG
Overall
  • D
  • L
  • D
  • D
  • L
1.14
Home
  • L
  • D
  • D
  • D
  • L
1.13
Away
  • W
  • L
  • L
  • L
  • D
1.17
Statistics Overall Home Away
Win % 29% 25% 33%
AVG 2.86 2.25 3.67
Scored 1.14 1.00 1.33
Conceded 1.71 1.25 2.33
BTTS 71% 63% 83%
CS 14% 25% 0%

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141.251.65-0.401.141.71-0.11

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
1Mikkel Duelund BadgeMikkel Duelund8.6970.6956MF14
2Donavan Kafo Bagou BadgeDonavan Kafo Bagou7.7270.7243FW13
3Milan Justin Silva Rasmussen BadgeMilan Justin Silva Rasmussen7.5170.642FW14
4Tobias Bach BadgeTobias Bach6.9570.5137FW14
5Serigne Diop BadgeSerigne Diop6.2160.7432FW13
6Oliver Kjærgaard BadgeOliver Kjærgaard5.6450.4334FW13
7Louka Andreasen BadgeLouka Andreasen5.2630.4742FW13
8Kornelius Normann Hansen BadgeKornelius Normann Hansen5.130.4739FW14
9Tobias Thomsen BadgeTobias Thomsen5.0640.3839FW14
10Jonatan Holm Lindekilde BadgeJonatan Holm Lindekilde4.8120.4941MF11
11Magnus Kaastrup Larsen BadgeMagnus Kaastrup Larsen4.840.3934FW13
12Emilio Simonsen BadgeEmilio Simonsen4.4630.4537MF12
13Asbjorn Bondergaard BadgeAsbjorn Bondergaard4.3240.5925FW8
14James Ampofo BadgeJames Ampofo4.2450.5726FW9
15Muamer Brajanac BadgeMuamer Brajanac4.1820.3336FW14
16Nemo Thomsen BadgeNemo Thomsen3.9110.6536MF13
17Wahidullah Faghir BadgeWahidullah Faghir3.8330.5429FW12
18Fisnik Isaki BadgeFisnik Isaki3.7340.5318MF8
19Tobias Augustinus-Jensen BadgeTobias Augustinus-Jensen3.7120.2934FW14
20Lasse Steffensen BadgeLasse Steffensen3.6820.336FW13
21Lucas Skjoldborg From BadgeLucas Skjoldborg From3.6520.3627MF13
22Rory Brown BadgeRory Brown3.620.3630FW14
23Frederik Rasmus Christensen BadgeFrederik Rasmus Christensen3.5940.6813FW9
24Frederik Thykær Rieper BadgeFrederik Thykær Rieper3.5540.2516DF14
25Søren Andreasen BadgeSøren Andreasen3.3430.3218FW13

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 1.25 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 1.29 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 1.29 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 HB Køge will demand better defending in the future, with 1.67 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 2.03 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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