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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7AC Horsens BadgeAC Horsens
AC Horsens

AC Horsens

Superliga (Div. 1)

League Pos. 0 / 12

Denmark

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8Randers FC BadgeRanders FC
Randers FC

Randers FC

Superliga (Div. 1)

League Pos. 0 / 12

Denmark

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9Silkeborg IF BadgeSilkeborg IF
Silkeborg IF

Silkeborg IF

Superliga (Div. 1)

League Pos. 0 / 12

Denmark

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10Odense BK BadgeOdense BK
Odense BK

Odense BK

Superliga (Div. 1)

League Pos. 0 / 12

Denmark

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11Lyngby Boldklub BadgeLyngby Boldklub
Lyngby Boldklub

Lyngby Boldklub

Superliga (Div. 1)

League Pos. 0 / 12

Denmark

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12Viborg FF BadgeViborg FF
Viborg FF

Viborg FF

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
1Mohamed Elyounoussi BadgeMohamed Elyounoussi5.660.7225FW8
2Friday Ubi Etim BadgeFriday Ubi Etim4.2740.7421FW9
3Kelvin Ehibhaimha BadgeKelvin Ehibhaimha4.1640.6119FW8
4Sidi Mohamed Cherif Haidara BadgeSidi Mohamed Cherif Haidara4.1340.4822MF9
5Isak Thorvaldsson BadgeIsak Thorvaldsson3.6530.4525FW9
6Simon Colyn BadgeSimon Colyn3.5130.4425MF9
7Mike Themsen BadgeMike Themsen3.4930.4321MF9
8Olti Hyseni BadgeOlti Hyseni3.320.6622FW9
9Dorian Junior Hanza Meha BadgeDorian Junior Hanza Meha3.2430.417FW9
10Oliver Ross BadgeOliver Ross3.2130.5216FW9
11Charly Ngos Nouck Horneman BadgeCharly Ngos Nouck Horneman3.1730.4221FW9
12Noah Ganaus BadgeNoah Ganaus3.0820.3822FW9
13Birger Meling BadgeBirger Meling3.0340.674DF7
14Elies Mahmoud BadgeElies Mahmoud3.0230.3716FW9
15Callum McCowatt BadgeCallum McCowatt2.9430.4816MF8
16Asker Bech BadgeAsker Bech2.930.3915MF9
17Stanley Iheanacho BadgeStanley Iheanacho2.930.715FW8
18Mads Frøkjær-Jensen BadgeMads Frøkjær-Jensen2.8220.3320MF9
19Mads Søndergaard Clausen BadgeMads Søndergaard Clausen2.7530.5114MF8
20Hjalte Boe Kling Rasmussen BadgeHjalte Boe Kling Rasmussen2.7330.7412FW9
21Janni-Luca Serra BadgeJanni-Luca Serra2.6830.7213FW7
22Mohamed Sankoh BadgeMohamed Sankoh2.4930.699FW8
23Topi Keskinen BadgeTopi Keskinen2.4510.3124FW9
24Yamirou Ouorou BadgeYamirou Ouorou2.4220.4213FW9
25Alexander Rasmussen BadgeAlexander Rasmussen2.4130.5410FW7

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, Viborg FF 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 Viborg FF, 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 Viborg FF, 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?

Viborg FF 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?

Viborg FF 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 Viborg FF.

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 Viborg FF, 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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