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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2Ross County FC BadgeRoss County FC
Ross County FC

Ross County 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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5Airdrieonians FC BadgeAirdrieonians FC
Airdrieonians FC

Airdrieonians FC

League One (Div. 3)

League Pos. 0 / 10

Scotland

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6East Fife FC BadgeEast Fife FC
East Fife FC

East Fife 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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10East Kilbride FC BadgeEast Kilbride FC
East Kilbride FC

East Kilbride 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
1Cameron Elliott BadgeCameron Elliott4.9590.620FW8
2Brian Graham BadgeBrian Graham4.0670.560FW8
3Andrew Ryan BadgeAndrew Ryan3.5970.50FW8
4Gary Oliver BadgeGary Oliver3.150.390MF9
5Keiran Phillips BadgeKeiran Phillips2.540.60FW8
6Connor Young BadgeConnor Young2.3440.420FW6
7Destiny Oladipo BadgeDestiny Oladipo1.7730.460FW9
8Christopher Hamilton BadgeChristopher Hamilton1.7530.510MF4
9Cameron Ross BadgeCameron Ross1.6630.190FW9
10Liam McLeish BadgeLiam McLeish1.6630.450FW6
11Jamie Lindsay BadgeJamie Lindsay1.6530.360MF8
12Kyle MacDonald BadgeKyle MacDonald1.6330.210MF8
13Kyle Glasgow BadgeKyle Glasgow1.630.250MF8
14Tony Gallacher BadgeTony Gallacher1.2920.160DF8
15Nicholas Clark BadgeNicholas Clark1.2820.240N/A6
16Connor Randall BadgeConnor Randall1.2720.180DF8
17Harry Craig BadgeHarry Craig1.2620.230MF9
18Jordan White BadgeJordan White1.2420.140FW9
19Craig McGuffie BadgeCraig McGuffie1.2320.210MF9
20Lewis Gibson BadgeLewis Gibson1.220.190FW8
21Callum Burnside BadgeCallum Burnside1.1620.190FW7
22Richard Chin BadgeRichard Chin1.0820.250FW8
23Jamie Barjonas BadgeJamie Barjonas1.0520.120MF9
24Owen Foster BadgeOwen Foster1.0520.120MF9
25Cole Coughlin BadgeCole Coughlin1.0420.140MF9

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, East Kilbride 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 East Kilbride 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 East Kilbride 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?

East Kilbride 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?

East Kilbride 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 East Kilbride 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 East Kilbride 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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