xG (Expected Goals) - 1st Division

xG Per 90, including xG Difference

# TeamMP
Matches Played
xGxGAxGDGFGAxG vs Actual
1Lyngby Boldklub BadgeLyngby Boldklub
Lyngby Boldklub

Lyngby Boldklub

1st Division (Div. 2)

League Pos. 2 / 12

Denmark

Form Last 5 PPG
Overall
  • W
  • W
  • W
  • W
  • L
1.93
Home
  • W
  • W
  • W
  • W
  • L
2.00
Away
  • L
  • W
  • D
  • L
  • W
1.85
Statistics Overall Home Away
Win % 57% 60% 54%
AVG 3.36 3.20 3.54
Scored 2.25 2.27 2.23
Conceded 1.11 0.93 1.31
BTTS 61% 60% 62%
CS 32% 40% 23%

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281.691.22+0.472.251.11+0.56
2Aarhus Fremad BadgeAarhus Fremad
Aarhus Fremad

Aarhus Fremad

1st Division (Div. 2)

League Pos. 4 / 12

Denmark

Form Last 5 PPG
Overall
  • W
  • L
  • W
  • L
  • W
1.29
Home
  • W
  • D
  • W
  • W
  • L
1.57
Away
  • W
  • L
  • L
  • L
  • W
1.00
Statistics Overall Home Away
Win % 32% 43% 21%
AVG 2.75 3.07 2.43
Scored 1.50 2.00 1.00
Conceded 1.25 1.07 1.43
BTTS 54% 57% 50%
CS 21% 21% 21%

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281.651.31+0.341.501.25-0.15
3Esbjerg fB BadgeEsbjerg fB
Esbjerg fB

Esbjerg fB

1st Division (Div. 2)

League Pos. 5 / 12

Denmark

Form Last 5 PPG
Overall
  • W
  • D
  • L
  • L
  • L
1.50
Home
  • W
  • D
  • W
  • D
  • L
1.79
Away
  • W
  • D
  • D
  • L
  • L
1.21
Statistics Overall Home Away
Win % 43% 50% 36%
AVG 2.68 2.64 2.71
Scored 1.25 1.43 1.07
Conceded 1.43 1.21 1.64
BTTS 50% 57% 43%
CS 21% 21% 21%

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281.551.48+0.071.251.43-0.30
4Boldklubben af 1893 BadgeBoldklubben af 1893
Boldklubben af 1893

Boldklubben af 1893

1st Division (Div. 2)

League Pos. 5 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • L
  • L
  • W
  • L
1.11
Home
  • L
  • W
  • L
  • L
  • W
0.93
Away
  • W
  • L
  • L
  • L
  • L
1.29
Statistics Overall Home Away
Win % 32% 29% 36%
AVG 3.00 2.71 3.29
Scored 1.21 0.93 1.50
Conceded 1.79 1.79 1.79
BTTS 61% 50% 71%
CS 18% 21% 14%

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281.551.71-0.161.211.79-0.34
5Aalborg BK BadgeAalborg BK
Aalborg BK

Aalborg BK

1st Division (Div. 2)

League Pos. 2 / 12

Denmark

Form Last 5 PPG
Overall
  • W
  • W
  • W
  • D
  • D
1.50
Home
  • L
  • D
  • W
  • W
  • D
1.79
Away
  • D
  • L
  • W
  • W
  • D
1.21
Statistics Overall Home Away
Win % 39% 50% 29%
AVG 3.04 3.29 2.79
Scored 1.68 2.00 1.36
Conceded 1.36 1.29 1.43
BTTS 57% 57% 57%
CS 21% 21% 21%

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281.511.55-0.041.681.36+0.17
6Kolding IF BadgeKolding IF
Kolding IF

Kolding IF

1st Division (Div. 2)

League Pos. 6 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • L
  • L
  • L
  • D
1.25
Home
  • W
  • W
  • D
  • L
  • D
1.57
Away
  • L
  • D
  • L
  • L
  • L
0.93
Statistics Overall Home Away
Win % 32% 43% 21%
AVG 2.36 2.29 2.43
Scored 1.18 1.29 1.07
Conceded 1.18 1.00 1.36
BTTS 54% 57% 50%
CS 29% 29% 29%

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281.481.45+0.031.181.18-0.30
7HB Køge BadgeHB Køge
HB Køge

HB Køge

1st Division (Div. 2)

League Pos. 1 / 12

Denmark

Form Last 5 PPG
Overall
  • W
  • W
  • W
  • D
  • W
1.29
Home
  • D
  • W
  • W
  • D
  • W
1.60
Away
  • D
  • D
  • L
  • W
  • W
0.92
Statistics Overall Home Away
Win % 36% 47% 23%
AVG 3.00 2.47 3.62
Scored 1.36 1.33 1.38
Conceded 1.64 1.13 2.23
BTTS 64% 47% 85%
CS 14% 27% 0%

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281.451.57-0.121.361.64-0.09
8Hvidovre IF BadgeHvidovre IF
Hvidovre IF

Hvidovre IF

1st Division (Div. 2)

League Pos. 4 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • L
  • W
  • D
  • D
1.61
Home
  • L
  • D
  • D
  • W
  • D
1.50
Away
  • W
  • W
  • L
  • L
  • D
1.71
Statistics Overall Home Away
Win % 39% 29% 50%
AVG 2.50 2.64 2.36
Scored 1.43 1.50 1.36
Conceded 1.07 1.14 1.00
BTTS 64% 79% 50%
CS 29% 21% 36%

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281.421.35+0.071.431.07+0.01
9Hobro IK BadgeHobro IK
Hobro IK

Hobro IK

1st Division (Div. 2)

League Pos. 3 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • W
  • L
  • W
  • D
1.25
Home
  • L
  • D
  • W
  • L
  • L
0.92
Away
  • W
  • W
  • W
  • W
  • D
1.53
Statistics Overall Home Away
Win % 32% 23% 40%
AVG 2.43 2.31 2.53
Scored 1.18 0.92 1.40
Conceded 1.25 1.38 1.13
BTTS 43% 46% 40%
CS 36% 31% 40%

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281.391.48-0.091.181.25-0.21
10Hillerød Fodbold BadgeHillerød Fodbold
Hillerød Fodbold

Hillerød Fodbold

1st Division (Div. 2)

League Pos. 3 / 12

Denmark

Form Last 5 PPG
Overall
  • D
  • D
  • L
  • W
  • W
1.64
Home
  • L
  • W
  • D
  • L
  • W
1.79
Away
  • D
  • D
  • D
  • D
  • W
1.50
Statistics Overall Home Away
Win % 43% 50% 36%
AVG 2.61 2.29 2.93
Scored 1.39 1.36 1.43
Conceded 1.21 0.93 1.50
BTTS 68% 50% 86%
CS 25% 36% 14%

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281.351.39-0.041.391.21+0.04
11AC Horsens BadgeAC Horsens
AC Horsens

AC Horsens

1st Division (Div. 2)

League Pos. 1 / 12

Denmark

Form Last 5 PPG
Overall
  • D
  • W
  • W
  • D
  • W
1.57
Home
  • D
  • L
  • L
  • W
  • W
1.62
Away
  • D
  • D
  • W
  • D
  • W
1.53
Statistics Overall Home Away
Win % 43% 46% 40%
AVG 2.14 2.92 1.47
Scored 1.21 1.54 0.93
Conceded 0.93 1.38 0.53
BTTS 39% 54% 27%
CS 50% 38% 60%

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281.311.29+0.021.210.93-0.10
12Middelfart G & BK BadgeMiddelfart G & BK
Middelfart G & BK

Middelfart G & BK

1st Division (Div. 2)

League Pos. 6 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • L
  • L
  • L
  • L
0.43
Home
  • L
  • L
  • L
  • L
  • L
0.50
Away
  • L
  • L
  • L
  • L
  • L
0.36
Statistics Overall Home Away
Win % 7% 7% 7%
AVG 3.21 3.21 3.21
Scored 0.89 1.00 0.79
Conceded 2.32 2.21 2.43
BTTS 57% 57% 57%
CS 7% 7% 7%

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281.201.79-0.590.892.32-0.31

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
1Kasper Andersen BadgeKasper Andersen13.31110.5385FW28
2Adrian Rúnason Justinussen BadgeAdrian Rúnason Justinussen11.64110.561FW26
3Alfred Gøthler BadgeAlfred Gøthler10.1790.5758FW28
4Muamer Brajanac BadgeMuamer Brajanac9.9790.4455FW24
5Frederik Gytkjær BadgeFrederik Gytkjær9.4120.7626FW23
6Kornelius Normann Hansen BadgeKornelius Normann Hansen9.1690.5647FW20
7Kelvin Pius John BadgeKelvin Pius John8.7170.3554FW27
8Nicklas Helenius BadgeNicklas Helenius8.47100.6239FW22
9Isak Frederik Tånnander BadgeIsak Frederik Tånnander8.4360.464FW26
10Søren Andreasen BadgeSøren Andreasen8.3970.4547FW27
11Magnus Kaastrup Larsen BadgeMagnus Kaastrup Larsen8.2460.4357FW28
12Mikkel Wohlgemuth BadgeMikkel Wohlgemuth7.9380.3937MF23
13Isak Thorvaldsson BadgeIsak Thorvaldsson7.7270.538FW23
14Kristian Kirkegaard BadgeKristian Kirkegaard7.6660.3545FW27
15Marco Bruhn BadgeMarco Bruhn7.6380.6736FW28
16Jerailly Wielzen BadgeJerailly Wielzen7.5150.3158FW28
17Casper Kaarsbo Winther BadgeCasper Kaarsbo Winther7.4180.3733MF23
18Oliver Klitten BadgeOliver Klitten7.3150.2655MF28
19Vladislav Morozov BadgeVladislav Morozov7.2470.5637FW18
20Mathias Nordestgaard Kubel BadgeMathias Nordestgaard Kubel7.0860.3442FW27
21Christian Tue Jensen BadgeChristian Tue Jensen6.9960.3549FW23
22Carl Björk BadgeCarl Björk6.8550.3347FW25
23Marvin Egho BadgeMarvin Egho6.660.3537FW27
24Mike Jensen BadgeMike Jensen6.4950.2747MF26
25Gustav Leone Fraulo BadgeGustav Leone Fraulo6.3650.2544MF28

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, Lyngby Boldklub has the best xG (Expected Goals For) in the 1st Division with 1.69 xG per game.

Which Team Has The Worst xG?

Currently, Middelfart G & BK has the worst xG (Expected Goals For) in the 1st Division with 1.20 xG per game.

Who Has The Best xG at Home?

The team with the best xG when playing at home this season is Lyngby Boldklub, who has an xG of 1.75 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 Middelfart G & BK, who is expected to score just 1.20 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 Aarhus Fremad, who is expected to score 1.72 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 Middelfart G & BK, who is expected to score just 1.19 goals per game in their opponents stadium.

Who Has The Best xGA?

Lyngby Boldklub has the best xGA (Expected Goals Against) in the 1st Division with just 1.22 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?

Lyngby Boldklub has the best xGA (Expected Goals Against) in the 1st Division when playing at home with just 1.09 goals expected against them per game. They are formidable when playing at home.

Who Has The Best xGA Away From Home?

AC Horsens has the best xGA (Expected Goals Against) in the 1st Division when playing away from home with just 1.18 goals expected against them per game. Very frustrating for those home fans who must watch their team face AC Horsens.

Who Has The Worst xGA?

Fans of Middelfart G & BK will demand better defending in the future, with 1.79 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 Boldklubben af 1893, 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 Middelfart G & BK, who is expected to concede 1.95 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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