xG (Expected Goals) - League One

xG Per 90, including xG Difference

# TeamMP
Matches Played
xGxGAxGDGFGAxG vs Actual
1Inverness 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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2Dumbarton FC BadgeDumbarton FC
Dumbarton FC

Dumbarton 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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5Arbroath FC BadgeArbroath FC
Arbroath FC

Arbroath 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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7Annan Athletic FC BadgeAnnan Athletic FC
Annan Athletic FC

Annan Athletic 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
1Mitchel Megginson BadgeMitchel Megginson1.84121.840FW24
2James Hilton BadgeJames Hilton1.6256.940MF24
3Luke Donnelly BadgeLuke Donnelly1.2773.090FW26
4Matt Yates BadgeMatt Yates1.2451.340FW29
5Michael Ruth BadgeMichael Ruth1.2371.230FW25
6Blair Alston BadgeBlair Alston1.1171.110MF22
7Matthew Aitken BadgeMatthew Aitken1.131.120FW20
8Carlo Pignatiello BadgeCarlo Pignatiello1.0461.040MF27
9Fraser Fyvie BadgeFraser Fyvie0.5970.590MF23
10Blair Yule BadgeBlair Yule0.5730.570DF23
11Stefan Scougall BadgeStefan Scougall0.5240.520MF26
12Steven Hetherington BadgeSteven Hetherington0000MF15
13Jack Brydon BadgeJack Brydon0000DF21
14Matthew Douglas BadgeMatthew Douglas0200DF24
15Calum Waters BadgeCalum Waters0100DF17
16David McKay BadgeDavid McKay0100DF24
17Kane Thomson BadgeKane Thomson0200DF20
18Kevin Cawley BadgeKevin Cawley0100MF20
19Cameron OCameron O'Donnel0300MF28
20Kurtis Roberts BadgeKurtis Roberts0000MF11
21Steven Buchanan BadgeSteven Buchanan0200MF30
22Michael Hewitt BadgeMichael Hewitt0400DF24
23Luke Rankin BadgeLuke Rankin0800MF24
24Niall Rogerson BadgeNiall Rogerson0000MF0
25Conor Sammon BadgeConor Sammon0500FW26

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)

xG Home

xG Away

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, Inverness Caledonian Thistle 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 Inverness Caledonian Thistle 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 Inverness Caledonian Thistle 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?

Inverness Caledonian Thistle 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 Inverness Caledonian Thistle 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 Inverness Caledonian Thistle 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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