xG (Expected Goals) - 1st Division

xG Per 90, including xG Difference

# TeamMP
Matches Played
xGxGAxGDGFGAxG vs Actual
1AC Horsens BadgeAC Horsens
AC Horsens

AC Horsens

1st Division (Div. 2)

League Pos. 4 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • W
  • W
  • W
  • L
1.74
Home
  • W
  • W
  • D
  • L
  • W
1.64
Away
  • L
  • W
  • W
  • W
  • L
1.83
Statistics Overall Home Away
Win % 52% 45% 58%
AVG 2.96 2.73 3.17
Scored 1.65 1.55 1.75
Conceded 1.30 1.18 1.42
BTTS 61% 64% 58%
CS 22% 27% 17%

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231.921.26+0.661.651.30-0.27
2Odense BK BadgeOdense BK
Odense BK

Odense BK

1st Division (Div. 2)

League Pos. 3 / 12

Denmark

Form Last 5 PPG
Overall
  • D
  • D
  • D
  • D
  • W
2.26
Home
  • W
  • D
  • D
  • D
  • W
2.25
Away
  • W
  • W
  • D
  • D
  • D
2.27
Statistics Overall Home Away
Win % 65% 67% 64%
AVG 3.09 2.92 3.27
Scored 2.13 1.83 2.45
Conceded 0.96 1.08 0.82
BTTS 61% 50% 73%
CS 35% 42% 27%

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231.851.17+0.682.130.96+0.28
3Esbjerg fB BadgeEsbjerg fB
Esbjerg fB

Esbjerg fB

1st Division (Div. 2)

League Pos. 1 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • W
  • L
  • L
  • W
1.61
Home
  • L
  • W
  • W
  • L
  • L
1.45
Away
  • W
  • L
  • W
  • L
  • W
1.75
Statistics Overall Home Away
Win % 52% 45% 58%
AVG 3.39 3.09 3.67
Scored 1.87 1.64 2.08
Conceded 1.52 1.45 1.58
BTTS 57% 55% 58%
CS 17% 9% 25%

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231.741.67+0.071.871.52+0.13
4Kolding IF BadgeKolding IF
Kolding IF

Kolding IF

1st Division (Div. 2)

League Pos. 5 / 12

Denmark

Form Last 5 PPG
Overall
  • W
  • W
  • D
  • W
  • L
1.48
Home
  • D
  • L
  • W
  • W
  • L
1.33
Away
  • W
  • W
  • L
  • W
  • D
1.64
Statistics Overall Home Away
Win % 39% 33% 45%
AVG 1.52 1.75 1.27
Scored 0.91 1.00 0.82
Conceded 0.61 0.75 0.45
BTTS 30% 42% 18%
CS 57% 50% 64%

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231.691.10+0.590.910.61-0.78
5Hillerød Fodbold BadgeHillerød Fodbold
Hillerød Fodbold

Hillerød Fodbold

1st Division (Div. 2)

League Pos. 1 / 12

Denmark

Form Last 5 PPG
Overall
  • W
  • W
  • D
  • D
  • W
1.50
Home
  • W
  • L
  • D
  • D
  • W
1.58
Away
  • D
  • W
  • W
  • W
  • D
1.42
Statistics Overall Home Away
Win % 38% 42% 33%
AVG 2.67 2.83 2.50
Scored 1.50 1.50 1.50
Conceded 1.17 1.33 1.00
BTTS 50% 50% 50%
CS 38% 33% 42%

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241.671.31+0.361.501.17-0.17
6FC Fredericia BadgeFC Fredericia
FC Fredericia

FC Fredericia

1st Division (Div. 2)

League Pos. 2 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • L
  • L
  • W
  • W
1.87
Home
  • L
  • L
  • W
  • L
  • L
1.45
Away
  • W
  • W
  • L
  • W
  • W
2.25
Statistics Overall Home Away
Win % 61% 45% 75%
AVG 3.09 3.18 3.00
Scored 1.96 1.73 2.17
Conceded 1.13 1.45 0.83
BTTS 39% 55% 25%
CS 39% 27% 50%

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231.651.63+0.021.961.13+0.31
7Hobro IK BadgeHobro IK
Hobro IK

Hobro IK

1st Division (Div. 2)

League Pos. 6 / 12

Denmark

Form Last 5 PPG
Overall
  • D
  • L
  • L
  • D
  • L
1.13
Home
  • L
  • D
  • W
  • L
  • D
1.25
Away
  • W
  • L
  • D
  • L
  • L
1.00
Statistics Overall Home Away
Win % 29% 33% 25%
AVG 3.00 3.33 2.67
Scored 1.29 1.42 1.17
Conceded 1.71 1.92 1.50
BTTS 58% 67% 50%
CS 17% 17% 17%

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241.641.65-0.011.291.71-0.35
8Hvidovre IF BadgeHvidovre IF
Hvidovre IF

Hvidovre IF

1st Division (Div. 2)

League Pos. 6 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • W
  • W
  • D
  • L
1.57
Home
  • W
  • W
  • W
  • D
  • L
2.08
Away
  • L
  • L
  • L
  • L
  • W
1.00
Statistics Overall Home Away
Win % 43% 58% 27%
AVG 2.04 2.25 1.82
Scored 1.09 1.50 0.64
Conceded 0.96 0.75 1.18
BTTS 26% 25% 27%
CS 52% 67% 36%

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231.501.41+0.091.090.96-0.41
9Vendsyssel FF BadgeVendsyssel FF
Vendsyssel FF

Vendsyssel FF

1st Division (Div. 2)

League Pos. 3 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • L
  • L
  • D
  • D
0.92
Home
  • D
  • W
  • L
  • L
  • D
1.00
Away
  • L
  • D
  • L
  • L
  • D
0.83
Statistics Overall Home Away
Win % 21% 25% 17%
AVG 2.58 2.50 2.67
Scored 1.04 1.08 1.00
Conceded 1.54 1.42 1.67
BTTS 50% 42% 58%
CS 25% 25% 25%

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241.401.77-0.371.041.54-0.36
10Boldklubben af 1893 BadgeBoldklubben af 1893
Boldklubben af 1893

Boldklubben af 1893

1st Division (Div. 2)

League Pos. 2 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • D
  • D
  • D
  • W
1.13
Home
  • L
  • L
  • W
  • D
  • D
0.83
Away
  • L
  • D
  • L
  • D
  • W
1.42
Statistics Overall Home Away
Win % 29% 17% 42%
AVG 3.21 2.75 3.67
Scored 1.25 0.92 1.58
Conceded 1.96 1.83 2.08
BTTS 50% 50% 50%
CS 21% 25% 17%

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241.252.02-0.771.251.960.00
11HB Køge BadgeHB Køge
HB Køge

HB Køge

1st Division (Div. 2)

League Pos. 4 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • D
  • W
  • D
  • D
1.00
Home
  • W
  • L
  • L
  • W
  • D
0.83
Away
  • D
  • D
  • W
  • D
  • D
1.17
Statistics Overall Home Away
Win % 25% 25% 25%
AVG 2.92 3.08 2.75
Scored 1.13 0.92 1.33
Conceded 1.79 2.17 1.42
BTTS 50% 33% 67%
CS 21% 17% 25%

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241.211.96-0.751.131.79-0.08
12FC Roskilde BadgeFC Roskilde
FC Roskilde

FC Roskilde

1st Division (Div. 2)

League Pos. 5 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • W
  • L
  • D
  • L
0.58
Home
  • L
  • L
  • L
  • W
  • L
0.50
Away
  • L
  • L
  • W
  • L
  • D
0.67
Statistics Overall Home Away
Win % 17% 17% 17%
AVG 2.88 3.00 2.75
Scored 0.92 1.00 0.83
Conceded 1.96 2.00 1.92
BTTS 54% 58% 50%
CS 13% 8% 17%

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241.171.66-0.490.921.96-0.25

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
1Asbjorn Bondergaard BadgeAsbjorn Bondergaard2.26111.635FW17
2Oscar Buch BadgeOscar Buch1.6671.36FW21
3Agon Mucolli BadgeAgon Mucolli0.9930.75MF20
4Osman Abdulkadir Addo BadgeOsman Abdulkadir Addo0.8740.873MF23
5Daniel Bisgaard Haarbo BadgeDaniel Bisgaard Haarbo0.6822.451MF12
6Sebastian Koch BadgeSebastian Koch0.5641.940MF11
7Jakob Jessen BadgeJakob Jessen0.1910.342MF20
8Gustav Ølsted Marcussen BadgeGustav Ølsted Marcussen0.1790.174MF20
9Fisnik Isaki BadgeFisnik Isaki0.1524.52MF19
10Mikkel Mouritz Jensen BadgeMikkel Mouritz Jensen0.1510.162MF21
11Ole Jakobsen BadgeOle Jakobsen0.1220.171MF12
12Chukwuemeka Paul Nnamani BadgeChukwuemeka Paul Nnamani0.140.142FW21
13Anders Dahl BadgeAnders Dahl0.0900.062MF22
14Nicolaj Thomsen BadgeNicolaj Thomsen0.0610.061MF17
15Niels Henrik Melsæther Morberg BadgeNiels Henrik Melsæther Morberg0.0510.171MF20
16Jonatan Holm Lindekilde BadgeJonatan Holm Lindekilde0.0540.041MF18
17Mikkel Wohlgemuth BadgeMikkel Wohlgemuth0.0410.061MF19
18Villads Westh BadgeVillads Westh0100MF20
19Nicklas Mouritsen BadgeNicklas Mouritsen0200DF21
20Emil Christensen BadgeEmil Christensen0000DF19
21Ludvig Fagersted Henriksen BadgeLudvig Fagersted Henriksen0000DF22
22Dino Alijagic BadgeDino Alijagic0000MF0
23Ruben Stabell Minerba BadgeRuben Stabell Minerba0000MF3
24Jonathan Mathys BadgeJonathan Mathys0000MF4
25Tobias Blidegn BadgeTobias Blidegn0200MF13

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, AC Horsens has the best xG (Expected Goals For) in the 1st Division with 1.92 xG per game.

Which Team Has The Worst xG?

Currently, FC Roskilde has the worst xG (Expected Goals For) in the 1st Division with 1.17 xG per game.

Who Has The Best xG at Home?

The team with the best xG when playing at home this season is Hillerød Fodbold, who has an xG of 1.95 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 HB Køge, who is expected to score just 1.22 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 AC Horsens, who is expected to score 1.99 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 FC Roskilde, who is expected to score just 1.08 goals per game in their opponents stadium.

Who Has The Best xGA?

Kolding IF has the best xGA (Expected Goals Against) in the 1st Division with just 1.10 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?

Kolding IF has the best xGA (Expected Goals Against) in the 1st Division when playing at home with just 1.03 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 1.17 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 Boldklubben af 1893 will demand better defending in the future, with 2.02 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 HB Køge, who is expected to concede 2.04 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 Boldklubben af 1893, who is expected to concede 2.06 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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