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 Elyounoussi6.5170.6729FW10
2Oliver Ross BadgeOliver Ross5.3460.720FW11
3Olti Hyseni BadgeOlti Hyseni5.2740.831FW11
4Friday Ubi Etim BadgeFriday Ubi Etim5.0850.7523FW11
5Sidi Mohamed Cherif Haidara BadgeSidi Mohamed Cherif Haidara4.8850.5124MF11
6Simon Colyn BadgeSimon Colyn4.7140.5229MF10
7Janni-Luca Serra BadgeJanni-Luca Serra4.4250.8217FW9
8Kelvin Ehibhaimha BadgeKelvin Ehibhaimha4.1540.5719FW9
9Dorian Junior Hanza Meha BadgeDorian Junior Hanza Meha4.150.4521FW11
10Mike Themsen BadgeMike Themsen3.8730.3924MF11
11Isak Thorvaldsson BadgeIsak Thorvaldsson3.8430.427FW11
12Noah Ganaus BadgeNoah Ganaus3.830.3924FW11
13Robert Vinicius Rodrigues Silva BadgeRobert Vinicius Rodrigues Silva3.6320.4134FW11
14Charly Ngos Nouck Horneman BadgeCharly Ngos Nouck Horneman3.3730.4126FW11
15Elies Mahmoud BadgeElies Mahmoud3.1630.3519FW10
16Hjalte Boe Kling Rasmussen BadgeHjalte Boe Kling Rasmussen3.0230.6216FW11
17Asker Bech BadgeAsker Bech2.9930.3617MF11
18Birger Meling BadgeBirger Meling2.9640.634DF9
19Gustav Leone Fraulo BadgeGustav Leone Fraulo2.9620.2823MF11
20Jakob Bonde Jensen BadgeJakob Bonde Jensen2.9330.4914MF10
21Stanley Iheanacho BadgeStanley Iheanacho2.9330.5916FW10
22Callum McCowatt BadgeCallum McCowatt2.9330.4116MF10
23Mads Søndergaard Clausen BadgeMads Søndergaard Clausen2.930.4617MF10
24Kristian Arnstad BadgeKristian Arnstad2.8630.2814MF11
25Mohamed Sankoh BadgeMohamed Sankoh2.8130.5613FW10

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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