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
1Brian Graham BadgeBrian Graham6.08140.6110FW13
2Cameron Elliott BadgeCameron Elliott5.64110.560FW11
3Andrew Ryan BadgeAndrew Ryan4.4170.430FW12
4Keiran Phillips BadgeKeiran Phillips3.7460.547FW13
5Christopher Hamilton BadgeChristopher Hamilton3.0550.51MF9
6Connor Young BadgeConnor Young2.9360.384FW10
7Gary Oliver BadgeGary Oliver2.7450.290MF12
8Richard Chin BadgeRichard Chin2.6750.394FW13
9Kyle Glasgow BadgeKyle Glasgow2.5840.310MF12
10Joshua Gentles BadgeJoshua Gentles2.5540.690FW8
11Edmond Oppong BadgeEdmond Oppong2.3440.650FW11
12Cameron Ross BadgeCameron Ross2.2640.210FW13
13Connor Randall BadgeConnor Randall2.0430.211DF13
14Kyle MacDonald BadgeKyle MacDonald2.0330.192MF13
15Jamie Lindsay BadgeJamie Lindsay1.8430.381MF11
16Lewis Gibson BadgeLewis Gibson1.830.210FW12
17Owen Foster BadgeOwen Foster1.7940.160MF13
18Liam McLeish BadgeLiam McLeish1.7630.480FW6
19Destiny Oladipo BadgeDestiny Oladipo1.540.340FW12
20Dylan Smith BadgeDylan Smith1.3920.211DF9
21Ross Docherty BadgeRoss Docherty1.3820.184MF11
22Liam Smith BadgeLiam Smith1.3620.131FW12
23Craig McGuffie BadgeCraig McGuffie1.2920.170MF12
24Andy Munro BadgeAndy Munro1.2830.120DF13
25Jordan White BadgeJordan White1.2620.120FW12

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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