xG (Expected Goals) - Elitedivisionen

xG Per 90, including xG Difference

# TeamMP
Matches Played
xGxGAxGDGFGAxG vs Actual
1Odense Q BadgeOdense Q
Odense Q

Odense Q

Elitedivisionen (Div. 1)

League Pos. 0 / 8

Denmark

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2Brøndby IF Women BadgeBrøndby IF Women
Brøndby IF Women

Brøndby IF Women

Elitedivisionen (Div. 1)

League Pos. 0 / 8

Denmark

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3KoldingQ BadgeKoldingQ
KoldingQ

KoldingQ

Elitedivisionen (Div. 1)

League Pos. 0 / 8

Denmark

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4DBK Fortuna Hjørring BadgeDBK Fortuna Hjørring
DBK Fortuna Hjørring

DBK Fortuna Hjørring

Elitedivisionen (Div. 1)

League Pos. 0 / 8

Denmark

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5FC Nordsjælland Women BadgeFC Nordsjælland Women
FC Nordsjælland Women

FC Nordsjælland Women

Elitedivisionen (Div. 1)

League Pos. 0 / 8

Denmark

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6HB Køge Pigefodbold BadgeHB Køge Pigefodbold
HB Køge Pigefodbold

HB Køge Pigefodbold

Elitedivisionen (Div. 1)

League Pos. 0 / 8

Denmark

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7AGF Kvindefodbold ApS BadgeAGF Kvindefodbold ApS
AGF Kvindefodbold ApS

AGF Kvindefodbold ApS

Elitedivisionen (Div. 1)

League Pos. 0 / 8

Denmark

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8FC Midtjylland Women BadgeFC Midtjylland Women
FC Midtjylland Women

FC Midtjylland Women

Elitedivisionen (Div. 1)

League Pos. 0 / 8

Denmark

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

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 Elitedivisionen Expected Points Table.

Players with the Most xG

# PlayerxG TotalGoalsxG / 90'ShotsPositionApps
1Joy Ogochukwu Omega BadgeJoy Ogochukwu Omega9.49120.9140MF14
2 Badge9.19111.1336MF10
3Mai Bøge Wendicke BadgeMai Bøge Wendicke8.4190.6236FW14
4Anna Walter BadgeAnna Walter6.6760.5535FW14
5Mille Gejl Jensen BadgeMille Gejl Jensen6.2260.4832MF14
6Mathilde Rasmussen BadgeMathilde Rasmussen4.3730.5125MF10
7Rikke Madsen BadgeRikke Madsen4.2140.4122MF13
8Rikke Dybdahl BadgeRikke Dybdahl4.1240.323FW14
9Cecilie Larsen BadgeCecilie Larsen3.9740.3522FW13
10Cassandra Korhonen BadgeCassandra Korhonen3.7730.419FW13
11Olivia Garcia BadgeOlivia Garcia3.6420.3531FW14
12Nanna Christiansen BadgeNanna Christiansen3.5930.3818MF14
13Alberte Mott BadgeAlberte Mott3.2530.3517MF14
14Sara Amby Kristensen BadgeSara Amby Kristensen3.1840.2419FW14
15Flora Kopp Højer BadgeFlora Kopp Højer3.1230.422FW13
16Hafrún Rakel Halldórsdóttir BadgeHafrún Rakel Halldórsdóttir2.8540.736MF9
17Therese Vestermark BadgeTherese Vestermark2.8430.2622MF12
18Sarah Dyrehauge Hansen BadgeSarah Dyrehauge Hansen2.6610.2223MF14
19Cecilie Winther Johansen BadgeCecilie Winther Johansen2.5930.2310FW14
20Anna Krog BadgeAnna Krog2.5930.249MF14
21Thea Petersen BadgeThea Petersen2.5130.638FW11
22Clara Littrup Jensen BadgeClara Littrup Jensen2.4830.656MF10
23Signe Holt Andersen BadgeSigne Holt Andersen2.3130.195MF14
24Emilie Fink Pedersen BadgeEmilie Fink Pedersen2.2610.2212MF14
25Amalie Nyvang Lund BadgeAmalie Nyvang Lund2.2220.4312FW13

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

xG Overall (Per Match)

xGA Overall (Per Match)

xGA Home

xGA Away

xG (Expected Goals) By Teams in Elitedivisionen


Which Team Has The Best xG?

Currently, FC Midtjylland Women has the best xG (Expected Goals For) in the Elitedivisionen with 0.00 xG per game.

Which Team Has The Worst xG?

Currently, Odense Q has the worst xG (Expected Goals For) in the Elitedivisionen 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 Odense Q, 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 Midtjylland Women, 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 Midtjylland Women, 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 Odense Q, who is expected to score just 0.00 goals per game in their opponents stadium.

Who Has The Best xGA?

FC Midtjylland Women has the best xGA (Expected Goals Against) in the Elitedivisionen 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?

Odense Q has the best xGA (Expected Goals Against) in the Elitedivisionen 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 Midtjylland Women has the best xGA (Expected Goals Against) in the Elitedivisionen 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 Midtjylland Women.

Who Has The Worst xGA?

Fans of Odense Q will demand better defending in the future, with 0.00 xGA (Goals Expected Against). The worst of all teams in the Elitedivisionen 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 Midtjylland Women, 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 Odense Q, who is expected to concede 0.00 goals per game whilst on their travels.

How is the xG calculated for Elitedivisionen?

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 Elitedivisionen. 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 Elitedivisionen's xG data.

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