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 Elyounoussi3.1441.576FW2
2Oliver Ross BadgeOliver Ross1.9220.917FW3
3Kristian Arnstad BadgeKristian Arnstad1.5220.764FW2
4Simon Colyn BadgeSimon Colyn1.4810.5811MF3
5Birger Meling BadgeBirger Meling1.3821.122DF2
6Runar Robinsønn Norheim BadgeRunar Robinsønn Norheim1.2510.628DF2
7Callum McCowatt BadgeCallum McCowatt1.2410.438MF3
8Sidi Mohamed Cherif Haidara BadgeSidi Mohamed Cherif Haidara1.1610.397MF3
9Casper Kaarsbo Winther BadgeCasper Kaarsbo Winther1.1610.398MF3
10Noah Ganaus BadgeNoah Ganaus1.1310.386FW3
11Mike Themsen BadgeMike Themsen1.110.387MF3
12Olti Hyseni BadgeOlti Hyseni1.0210.784FW3
13Kelvin Ehibhaimha BadgeKelvin Ehibhaimha1.0210.784FW2
14Valdemar Andreasen BadgeValdemar Andreasen0.9910.765MF2
15Marcus Younis BadgeMarcus Younis0.9410.434FW3
16Renzo Tytens BadgeRenzo Tytens0.910.345DF3
17Magnus Jensen BadgeMagnus Jensen0.8910.453DF2
18Mohamed Sankoh BadgeMohamed Sankoh0.8810.443FW3
19Jens Jønsson BadgeJens Jønsson0.8510.642MF2
20Nicklas Røjkjær BadgeNicklas Røjkjær0.8410.434MF2
21Bartosz Slisz BadgeBartosz Slisz0.8210.273MF3
22Friday Ubi Etim BadgeFriday Ubi Etim0.8210.792FW2
23Adrian Rúnason Justinussen BadgeAdrian Rúnason Justinussen0.810.33FW3
24Frederik Gytkjær BadgeFrederik Gytkjær0.7711.242FW3
25Julius Emefile BadgeJulius Emefile0.7610.762FW2

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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