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 Elliott6.65110.670FW11
2Brian Graham BadgeBrian Graham6.45140.6410FW13
3Andrew Ryan BadgeAndrew Ryan4.5570.450FW12
4Keiran Phillips BadgeKeiran Phillips3.2260.477FW13
5Gary Oliver BadgeGary Oliver2.9850.320MF12
6Christopher Hamilton BadgeChristopher Hamilton2.8950.471MF9
7Richard Chin BadgeRichard Chin2.8650.424FW13
8Connor Young BadgeConnor Young2.7560.364FW10
9Kyle Glasgow BadgeKyle Glasgow2.440.290MF12
10Cameron Ross BadgeCameron Ross2.3840.230FW13
11Edmond Oppong BadgeEdmond Oppong2.3840.670FW11
12Joshua Gentles BadgeJoshua Gentles2.3340.630FW8
13Connor Randall BadgeConnor Randall230.211DF13
14Jamie Lindsay BadgeJamie Lindsay1.9530.41MF11
15Kyle MacDonald BadgeKyle MacDonald1.8730.172MF13
16Liam McLeish BadgeLiam McLeish1.7830.490FW6
17Owen Foster BadgeOwen Foster1.6240.150MF13
18Lewis Gibson BadgeLewis Gibson1.630.190FW12
19Destiny Oladipo BadgeDestiny Oladipo1.5640.350FW12
20Ross Docherty BadgeRoss Docherty1.4520.194MF11
21Stuart McKinstry BadgeStuart McKinstry1.3920.141MF12
22Cole Coughlin BadgeCole Coughlin1.2820.170MF13
23Akil Wright BadgeAkil Wright1.2720.122DF13
24Cameron Smith BadgeCameron Smith1.2720.180FW11
25Liam Smith BadgeLiam Smith1.2420.121FW12

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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