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. 1 / 12

Denmark

Form Last 5 PPG
Overall
  • D
  • D
  • L
  • W
  • W
1.81
Home
  • D
  • W
  • W
  • D
  • W
1.50
Away
  • D
  • W
  • D
  • L
  • W
2.13
Statistics Overall Home Away
Win % 50% 38% 63%
AVG 3.38 3.00 3.75
Scored 2.19 1.88 2.50
Conceded 1.19 1.13 1.25
BTTS 63% 63% 63%
CS 38% 38% 38%

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161.671.34+0.332.191.19+0.52
2Aalborg BK BadgeAalborg BK
Aalborg BK

Aalborg BK

1st Division (Div. 2)

League Pos. 6 / 12

Denmark

Form Last 5 PPG
Overall
  • W
  • D
  • W
  • W
  • D
1.56
Home
  • W
  • W
  • W
  • W
  • W
2.29
Away
  • L
  • L
  • D
  • W
  • D
1.00
Statistics Overall Home Away
Win % 44% 71% 22%
AVG 3.19 3.29 3.11
Scored 1.81 2.43 1.33
Conceded 1.38 0.86 1.78
BTTS 56% 43% 67%
CS 25% 43% 11%

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161.581.43+0.151.811.38+0.23
3Esbjerg fB BadgeEsbjerg fB
Esbjerg fB

Esbjerg fB

1st Division (Div. 2)

League Pos. 4 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • D
  • W
  • W
  • W
1.63
Home
  • W
  • D
  • D
  • W
  • W
1.89
Away
  • L
  • L
  • L
  • L
  • W
1.29
Statistics Overall Home Away
Win % 50% 56% 43%
AVG 2.81 3.11 2.43
Scored 1.44 1.67 1.14
Conceded 1.38 1.44 1.29
BTTS 50% 67% 29%
CS 19% 11% 29%

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161.561.39+0.171.441.38-0.12
4Boldklubben af 1893 BadgeBoldklubben af 1893
Boldklubben af 1893

Boldklubben af 1893

1st Division (Div. 2)

League Pos. 8 / 12

Denmark

Form Last 5 PPG
Overall
  • W
  • D
  • W
  • L
  • L
1.31
Home
  • L
  • W
  • D
  • W
  • L
0.88
Away
  • W
  • W
  • L
  • W
  • L
1.75
Statistics Overall Home Away
Win % 38% 25% 50%
AVG 2.94 2.88 3.00
Scored 1.25 0.88 1.63
Conceded 1.69 2.00 1.38
BTTS 63% 50% 75%
CS 19% 25% 13%

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161.541.69-0.151.251.69-0.29
5AC Horsens BadgeAC Horsens
AC Horsens

AC Horsens

1st Division (Div. 2)

League Pos. 5 / 12

Denmark

Form Last 5 PPG
Overall
  • D
  • W
  • L
  • L
  • W
1.56
Home
  • W
  • L
  • W
  • D
  • L
1.57
Away
  • L
  • L
  • W
  • L
  • W
1.56
Statistics Overall Home Away
Win % 44% 43% 44%
AVG 2.19 2.86 1.67
Scored 1.31 1.57 1.11
Conceded 0.88 1.29 0.56
BTTS 38% 57% 22%
CS 50% 43% 56%

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161.531.15+0.381.310.88-0.22
6Aarhus Fremad BadgeAarhus Fremad
Aarhus Fremad

Aarhus Fremad

1st Division (Div. 2)

League Pos. 9 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • D
  • L
  • D
  • L
1.13
Home
  • W
  • W
  • L
  • L
  • D
1.38
Away
  • D
  • W
  • D
  • D
  • L
0.88
Statistics Overall Home Away
Win % 25% 38% 13%
AVG 2.88 2.88 2.88
Scored 1.50 1.75 1.25
Conceded 1.38 1.13 1.63
BTTS 56% 50% 63%
CS 19% 25% 13%

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161.531.45+0.081.501.38-0.03
7Kolding IF BadgeKolding IF
Kolding IF

Kolding IF

1st Division (Div. 2)

League Pos. 7 / 12

Denmark

Form Last 5 PPG
Overall
  • W
  • L
  • W
  • D
  • L
1.38
Home
  • D
  • L
  • W
  • W
  • L
1.63
Away
  • W
  • L
  • D
  • L
  • D
1.13
Statistics Overall Home Away
Win % 38% 50% 25%
AVG 2.44 2.38 2.50
Scored 1.25 1.25 1.25
Conceded 1.19 1.13 1.25
BTTS 56% 50% 63%
CS 31% 38% 25%

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161.501.27+0.231.251.19-0.25
8Hillerød Fodbold BadgeHillerød Fodbold
Hillerød Fodbold

Hillerød Fodbold

1st Division (Div. 2)

League Pos. 2 / 12

Denmark

Form Last 5 PPG
Overall
  • W
  • D
  • W
  • D
  • D
1.81
Home
  • W
  • W
  • W
  • D
  • D
1.88
Away
  • D
  • L
  • W
  • W
  • D
1.75
Statistics Overall Home Away
Win % 50% 50% 50%
AVG 2.81 2.88 2.75
Scored 1.56 1.75 1.38
Conceded 1.25 1.13 1.38
BTTS 81% 75% 88%
CS 13% 13% 13%

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161.401.37+0.031.561.25+0.16
9Hobro IK BadgeHobro IK
Hobro IK

Hobro IK

1st Division (Div. 2)

League Pos. 11 / 12

Denmark

Form Last 5 PPG
Overall
  • D
  • D
  • L
  • L
  • W
0.94
Home
  • W
  • L
  • D
  • L
  • W
1.00
Away
  • D
  • L
  • D
  • D
  • L
0.88
Statistics Overall Home Away
Win % 19% 25% 13%
AVG 2.75 2.75 2.75
Scored 1.06 1.13 1.00
Conceded 1.69 1.63 1.75
BTTS 50% 50% 50%
CS 25% 38% 13%

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161.321.63-0.311.061.69-0.26
10HB Køge BadgeHB Køge
HB Køge

HB Køge

1st Division (Div. 2)

League Pos. 10 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • W
  • L
  • W
  • D
1.06
Home
  • L
  • W
  • L
  • W
  • D
1.63
Away
  • L
  • L
  • L
  • L
  • W
0.50
Statistics Overall Home Away
Win % 31% 50% 13%
AVG 3.06 2.00 4.13
Scored 1.19 1.00 1.38
Conceded 1.88 1.00 2.75
BTTS 63% 38% 88%
CS 13% 25% 0%

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161.291.69-0.401.191.88-0.10
11Middelfart G & BK BadgeMiddelfart G & BK
Middelfart G & BK

Middelfart G & BK

1st Division (Div. 2)

League Pos. 12 / 12

Denmark

Form Last 5 PPG
Overall
  • L
  • L
  • L
  • L
  • L
0.50
Home
  • D
  • W
  • L
  • L
  • L
0.75
Away
  • D
  • L
  • L
  • L
  • L
0.25
Statistics Overall Home Away
Win % 6% 13% 0%
AVG 2.75 2.88 2.63
Scored 0.88 1.13 0.63
Conceded 1.88 1.75 2.00
BTTS 50% 63% 38%
CS 13% 13% 13%

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161.241.59-0.350.881.88-0.36
12Hvidovre IF BadgeHvidovre IF
Hvidovre IF

Hvidovre IF

1st Division (Div. 2)

League Pos. 3 / 12

Denmark

Form Last 5 PPG
Overall
  • D
  • D
  • W
  • D
  • D
1.63
Home
  • D
  • W
  • D
  • W
  • D
1.67
Away
  • L
  • W
  • W
  • D
  • D
1.57
Statistics Overall Home Away
Win % 38% 33% 43%
AVG 2.56 2.89 2.14
Scored 1.44 1.78 1.00
Conceded 1.13 1.11 1.14
BTTS 63% 78% 43%
CS 31% 22% 43%

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161.211.43-0.221.441.13+0.23

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
1Adrian Rúnason Justinussen BadgeAdrian Rúnason Justinussen10.29100.6851MF16
2Kasper Andersen BadgeKasper Andersen8.1380.5841FW16
3Kelvin Pius John BadgeKelvin Pius John870.5145FW16
4Frederik Gytkjær BadgeFrederik Gytkjær6.8390.718MF14
5Isak Frederik Tånnander BadgeIsak Frederik Tånnander6.0750.5138MF14
6Sebastian Pingel BadgeSebastian Pingel6.0350.7134FW13
7Isak Thorvaldsson BadgeIsak Thorvaldsson5.9560.6727MF15
8Muamer Brajanac BadgeMuamer Brajanac5.7960.5424FW12
9Christian Tue Jensen BadgeChristian Tue Jensen5.7650.4136MF16
10Carl Björk BadgeCarl Björk5.2840.3635MF16
11Kristian Kirkegaard BadgeKristian Kirkegaard5.1640.3730MF16
12Marvin Egho BadgeMarvin Egho5.0750.426FW16
13Mikkel Wohlgemuth BadgeMikkel Wohlgemuth5.0740.3824MF15
14Mathias Nordestgaard Kubel BadgeMathias Nordestgaard Kubel5.0640.3729MF16
15Oliver Klitten BadgeOliver Klitten4.940.3129FW16
16Søren Andreasen BadgeSøren Andreasen4.8940.5229FW15
17Marco Bruhn BadgeMarco Bruhn4.7450.6122MF16
18Jerailly Wielzen BadgeJerailly Wielzen4.6740.3729FW16
19Oliver Ross BadgeOliver Ross4.5630.4524FW15
20Andreas Sejr Lausen BadgeAndreas Sejr Lausen4.4930.3237MF16
21Nicklas Helenius BadgeNicklas Helenius4.4750.6126FW13
22Fisnik Isaki BadgeFisnik Isaki4.4540.425MF16
23Kornelius Normann Hansen BadgeKornelius Normann Hansen4.2750.6215MF9
24Aaron Akalé BadgeAaron Akalé4.0630.3930FW13
25Magnus Kaastrup Larsen BadgeMagnus Kaastrup Larsen4.0230.430FW16

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 1.67 xG per game.

Which Team Has The Worst xG?

Currently, Hvidovre IF has the worst xG (Expected Goals For) in the 1st Division with 1.21 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 Hvidovre IF, 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 Lyngby Boldklub, who is expected to score 1.60 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 Hvidovre IF, who is expected to score just 1.20 goals per game in their opponents stadium.

Who Has The Best xGA?

AC Horsens has the best xGA (Expected Goals Against) in the 1st Division with just 1.15 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 1.17 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 1.02 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 Boldklubben af 1893 will demand better defending in the future, with 1.69 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 1.91 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 HB Køge, who is expected to concede 1.69 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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