xG (Expected Goals) - League One

xG Per 90, including xG Difference

# TeamMP
Matches Played
xGxGAxGDGFGAxG vs Actual
1Hamilton Academical FC BadgeHamilton Academical FC
Hamilton Academical FC

Hamilton Academical FC

League One (Div. 3)

League Pos. 0 / 10

Scotland

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2Inverness Caledonian Thistle FC BadgeInverness Caledonian Thistle FC
Inverness Caledonian Thistle FC

Inverness Caledonian Thistle FC

League One (Div. 3)

League Pos. 0 / 10

Scotland

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3Queen of the South FC BadgeQueen of the South FC
Queen of the South FC

Queen of the South FC

League One (Div. 3)

League Pos. 0 / 10

Scotland

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4Alloa Athletic FC BadgeAlloa Athletic FC
Alloa Athletic FC

Alloa Athletic FC

League One (Div. 3)

League Pos. 0 / 10

Scotland

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5East Fife FC BadgeEast Fife FC
East Fife FC

East Fife FC

League One (Div. 3)

League Pos. 0 / 10

Scotland

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6Stenhousemuir FC BadgeStenhousemuir FC
Stenhousemuir FC

Stenhousemuir FC

League One (Div. 3)

League Pos. 0 / 10

Scotland

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7Peterhead FC BadgePeterhead FC
Peterhead FC

Peterhead FC

League One (Div. 3)

League Pos. 0 / 10

Scotland

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8Montrose FC BadgeMontrose FC
Montrose FC

Montrose FC

League One (Div. 3)

League Pos. 0 / 10

Scotland

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9Cove Rangers FC BadgeCove Rangers FC
Cove Rangers FC

Cove Rangers FC

League One (Div. 3)

League Pos. 0 / 10

Scotland

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10Kelty Hearts FC BadgeKelty Hearts FC
Kelty Hearts FC

Kelty Hearts FC

League One (Div. 3)

League Pos. 0 / 10

Scotland

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

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 League One Expected Points Table.

Players with the Most xG

# PlayerxG TotalGoalsxG / 90'ShotsPositionApps
1Oliver Shaw BadgeOliver Shaw11.67180.430FW30
2Kieran Shanks BadgeKieran Shanks9.57170.310FW33
3Alfie Bavidge BadgeAlfie Bavidge7.08100.360MF32
4Chanka Zimba BadgeChanka Zimba6.86110.420MF29
5Callum Sandilands BadgeCallum Sandilands5.93100.210MF32
6Matthew Aitken BadgeMatthew Aitken5.7590.250FW30
7Callum Burnside BadgeCallum Burnside5.5990.310MF21
8Reece Lyon BadgeReece Lyon5.5890.180MF33
9 Badge5.1490.230MF29
10Mitchel Megginson BadgeMitchel Megginson5.13100.20FW27
11Jason Brown BadgeJason Brown4.8770.190DF29
12Kai Kennedy BadgeKai Kennedy4.5180.140FW33
13Lewis OLewis O'Donnell4.0170.160MF28
14Blair Lyons BadgeBlair Lyons470.150GK32
15Jack Stott BadgeJack Stott3.7960.180MF27
16Ewan OEwan O'Reilly3.7270.160MF29
17Ricco Diack BadgeRicco Diack3.6860.310MF14
18Alfie Stewart BadgeAlfie Stewart3.6560.150MF31
19Taylor Sutherland BadgeTaylor Sutherland3.6270.340MF14
20Luke Donnelly BadgeLuke Donnelly3.3860.250FW21
21Andy Munro BadgeAndy Munro3.360.110DF31
22Kurtis Guthrie BadgeKurtis Guthrie3.2760.140FW27
23Connor Smith BadgeConnor Smith3.260.170FW19
24Matthew Douglas BadgeMatthew Douglas3.1950.10DF33
25Graham Webster BadgeGraham Webster3.0150.160MF30

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

xG Overall (Per Match)

xGA Overall (Per Match)

xGA Home

xGA Away

xG (Expected Goals) By Teams in League One


Which Team Has The Best xG?

Currently, Kelty Hearts FC has the best xG (Expected Goals For) in the League One with 0.00 xG per game.

Which Team Has The Worst xG?

Currently, Hamilton Academical FC has the worst xG (Expected Goals For) in the League One 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 Hamilton Academical FC, 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 Kelty Hearts FC, 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 Kelty Hearts FC, 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 Hamilton Academical FC, who is expected to score just 0.00 goals per game in their opponents stadium.

Who Has The Best xGA?

Kelty Hearts FC has the best xGA (Expected Goals Against) in the League One 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?

Hamilton Academical FC has the best xGA (Expected Goals Against) in the League One 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?

Kelty Hearts FC has the best xGA (Expected Goals Against) in the League One 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 Kelty Hearts FC.

Who Has The Worst xGA?

Fans of Hamilton Academical FC will demand better defending in the future, with 0.00 xGA (Goals Expected Against). The worst of all teams in the League One 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 Kelty Hearts FC, 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 Hamilton Academical FC, who is expected to concede 0.00 goals per game whilst on their travels.

How is the xG calculated for League One?

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 League One. 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 League One's xG data.

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