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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3Aalborg BK BadgeAalborg BK
Aalborg BK

Aalborg BK

Superliga (Div. 1)

League Pos. 0 / 12

Denmark

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4FC Nordsjælland BadgeFC Nordsjælland
FC Nordsjælland

FC Nordsjælland

Superliga (Div. 1)

League Pos. 0 / 12

Denmark

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5Aarhus Gymnastikforening BadgeAarhus Gymnastikforening
Aarhus Gymnastikforening

Aarhus Gymnastikforening

Superliga (Div. 1)

League Pos. 0 / 12

Denmark

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6Brøndby IF BadgeBrøndby IF
Brøndby IF

Brøndby IF

Superliga (Div. 1)

League Pos. 0 / 12

Denmark

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7Sønderjysk Elitesport Fodbold BadgeSønderjysk Elitesport Fodbold
Sønderjysk Elitesport Fodbold

Sønderjysk Elitesport Fodbold

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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10Lyngby Boldklub BadgeLyngby Boldklub
Lyngby Boldklub

Lyngby Boldklub

Superliga (Div. 1)

League Pos. 0 / 12

Denmark

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11Viborg FF BadgeViborg FF
Viborg FF

Viborg FF

Superliga (Div. 1)

League Pos. 0 / 12

Denmark

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12Vejle Boldklub BadgeVejle Boldklub
Vejle Boldklub

Vejle Boldklub

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
1Jakob Vester Nielsen BadgeJakob Vester Nielsen1.4442.492MF20
2Emmanuel Damoah Yeboah BadgeEmmanuel Damoah Yeboah1.43218.393FW13
3German Onugkha BadgeGerman Onugkha1.42101.423FW15
4Clement Bischoff BadgeClement Bischoff1.0221.114MF20
5Tobias Bech Kristensen BadgeTobias Bech Kristensen0.8961.045FW22
6Adam Buksa BadgeAdam Buksa0.8670.864FW15
7Pelle Mattsson BadgePelle Mattsson0.8610.862MF17
8Isak Jensen BadgeIsak Jensen0.8351.972MF19
9Marcus Ingvartsen BadgeMarcus Ingvartsen0.8260.882FW17
10Tammer Bany BadgeTammer Bany0.7722.312FW15
11Peter Ankersen BadgePeter Ankersen0.7630.762DF20
12Mads Kristian Hansen BadgeMads Kristian Hansen0.7414.161MF10
13Mads Enggård BadgeMads Enggård0.7110.711MF4
14Simen Bolkan Nordli BadgeSimen Bolkan Nordli0.69120.811MF21
15Conrad Harder BadgeConrad Harder0.4620.565FW7
16Mathias Kvistgaarden BadgeMathias Kvistgaarden0.36110.533FW19
17Patrick Mortensen BadgePatrick Mortensen0.29160.292FW22
18Mathias Jörgensen BadgeMathias Jörgensen0.2980.294FW22
19Mikael Anderson BadgeMikael Anderson0.2850.293MF22
20Yuito Suzuki BadgeYuito Suzuki0.2890.284MF22
21Musa Juwara BadgeMusa Juwara0.2620.262MF21
22Alexander Rasmussen BadgeAlexander Rasmussen0.2500.253FW3
23Filip Kristensen BadgeFilip Kristensen0.1800.182MF8
24 Badge0.1720.252MF13
25Sindre Walle Egeli BadgeSindre Walle Egeli0.1760.643MF22

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, Vejle Boldklub 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 Vejle Boldklub, 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 Vejle Boldklub, 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?

Vejle Boldklub 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?

Vejle Boldklub 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 Vejle Boldklub.

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 Vejle Boldklub, 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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