xG (Expected Goals) - Superliga

xG Per 90, including xG Difference

# TeamMP
Matches Played
xGxGAxGDGFGAxG vs Actual
1FC København BadgeFC København
FC København

FC København

Superliga (Div. 1)

League Pos. 0 / 12

Denmark

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2FC Midtjylland BadgeFC Midtjylland
FC Midtjylland

FC Midtjylland

Superliga (Div. 1)

League Pos. 0 / 12

Denmark

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3FC Nordsjælland BadgeFC Nordsjælland
FC Nordsjælland

FC Nordsjælland

Superliga (Div. 1)

League Pos. 0 / 12

Denmark

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4Aarhus Gymnastikforening BadgeAarhus Gymnastikforening
Aarhus Gymnastikforening

Aarhus Gymnastikforening

Superliga (Div. 1)

League Pos. 0 / 12

Denmark

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5Brøndby IF BadgeBrøndby IF
Brøndby IF

Brøndby IF

Superliga (Div. 1)

League Pos. 0 / 12

Denmark

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6Sønderjysk Elitesport Fodbold BadgeSønderjysk Elitesport Fodbold
Sønderjysk Elitesport Fodbold

Sønderjysk Elitesport Fodbold

Superliga (Div. 1)

League Pos. 0 / 12

Denmark

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7Randers FC BadgeRanders FC
Randers FC

Randers FC

Superliga (Div. 1)

League Pos. 0 / 12

Denmark

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8Silkeborg IF BadgeSilkeborg IF
Silkeborg IF

Silkeborg IF

Superliga (Div. 1)

League Pos. 0 / 12

Denmark

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9Odense BK BadgeOdense BK
Odense BK

Odense BK

Superliga (Div. 1)

League Pos. 0 / 12

Denmark

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10Viborg FF BadgeViborg FF
Viborg FF

Viborg FF

Superliga (Div. 1)

League Pos. 0 / 12

Denmark

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11Vejle Boldklub BadgeVejle Boldklub
Vejle Boldklub

Vejle Boldklub

Superliga (Div. 1)

League Pos. 0 / 12

Denmark

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12FC Fredericia BadgeFC Fredericia
FC Fredericia

FC Fredericia

Superliga (Div. 1)

League Pos. 0 / 12

Denmark

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This table describes the xG per match of each team in the Superliga.

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 Superliga Expected Points Table.

Players with the Most xG

# PlayerxG TotalGoalsxG / 90'ShotsPositionApps
1Franculino Gluda Djú BadgeFranculino Gluda Djú13.26160.9841FW17
2Tobias Bech Kristensen BadgeTobias Bech Kristensen10.47100.655FW19
3Callum McCowatt BadgeCallum McCowatt9.2480.5747MF19
4Noah Ganaus BadgeNoah Ganaus9.0290.5339MF19
5Tonni Adamsen BadgeTonni Adamsen7.6770.4538FW19
6Jann-Fiete Arp BadgeJann-Fiete Arp7.4480.4529FW17
7Patrick Mortensen BadgePatrick Mortensen7.4170.4237FW19
8Prince Amoako Junior BadgePrince Amoako Junior7.1850.4653FW18
9Jay-Roy Grot BadgeJay-Roy Grot6.9460.4241FW19
10Mohamed Elyounoussi BadgeMohamed Elyounoussi6.3750.4344MF16
11Aral Şimşir BadgeAral Şimşir6.260.531FW18
12Jordan Larsson BadgeJordan Larsson6.0550.4139FW19
13Darío Esteban Osorio Osorio BadgeDarío Esteban Osorio Osorio6.0240.5142MF16
14Oscar Buch BadgeOscar Buch660.4428FW16
15Christian Gammelgaard BadgeChristian Gammelgaard5.9360.3928FW20
16Mohamed Toure BadgeMohamed Toure5.2540.4232FW17
17Nicolai Vallys BadgeNicolai Vallys5.250.3529MF17
18Ola Solbakken BadgeOla Solbakken5.0750.4624FW15
19Kristall Máni Ingason BadgeKristall Máni Ingason5.0460.4814MF14
20Charly Ngos Nouck Horneman BadgeCharly Ngos Nouck Horneman4.7750.5821FW17
21Agon Mucolli BadgeAgon Mucolli4.6940.6125MF16
22Mads Søndergaard Clausen BadgeMads Søndergaard Clausen4.6550.4920MF14
23Kristian Arnstad BadgeKristian Arnstad4.5960.428MF18
24Thomas Jørgensen BadgeThomas Jørgensen4.4130.2729MF18
25Youssoufa Moukoko BadgeYoussoufa Moukoko4.3130.4926FW16

This is the list of the players with the highest xGs in the Superliga. List can include players from all positions. For more shots data, go to Shots data for Superliga page.

xG Overall (Per Match)

xG Home

xG Away

xGA Overall (Per Match)

xGA Home

xGA Away

xG (Expected Goals) By Teams in Superliga


Which Team Has The Best xG?

Currently, FC Fredericia has the best xG (Expected Goals For) in the Superliga with 0.00 xG per game.

Which Team Has The Worst xG?

Currently, FC København has the worst xG (Expected Goals For) in the Superliga with 0.00 xG per game.

Who Has The Best xG at Home?

The team with the best xG when playing at home this season is FC København, who has an xG of 0.00 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 FC Fredericia, who is expected to score just 0.00 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 0.00 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 København, who is expected to score just 0.00 goals per game in their opponents stadium.

Who Has The Best xGA?

FC Fredericia has the best xGA (Expected Goals Against) in the Superliga with just 0.00 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 København has the best xGA (Expected Goals Against) in the Superliga when playing at home with just 0.00 goals expected against them per game. They are formidable when playing at home.

Who Has The Best xGA Away From Home?

FC Fredericia has the best xGA (Expected Goals Against) in the Superliga when playing away from home with just 0.00 goals expected against them per game. Very frustrating for those home fans who must watch their team face FC Fredericia.

Who Has The Worst xGA?

Fans of FC København will demand better defending in the future, with 0.00 xGA (Goals Expected Against). The worst of all teams in the Superliga 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 FC Fredericia, who is expected to concede 0.00 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 FC København, who is expected to concede 0.00 goals per game whilst on their travels.

How is the xG calculated for Superliga?

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 Superliga. 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 Superliga's xG data.

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