xG (Expected Goals) - A-League

xG Per 90, including xG Difference

# TeamMP
Matches Played
xGxGAxGDGFGAxG vs Actual
1Melbourne Victory FC BadgeMelbourne Victory FC
Melbourne Victory FC

Melbourne Victory FC

A-League (Div. 1)

League Pos. 4 / 12

Australia

Form Last 5 PPG
Overall
  • D
  • D
  • W
  • W
  • L
1.52
Home
  • D
  • D
  • W
  • W
  • L
1.75
Away
  • L
  • L
  • W
  • W
  • D
1.27
Statistics Overall Home Away
Win % 43% 50% 36%
AVG 2.91 3.00 2.82
Scored 1.65 2.00 1.27
Conceded 1.26 1.00 1.55
BTTS 52% 58% 45%
CS 22% 17% 27%

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231.901.26+0.641.651.26-0.25
2Auckland FC BadgeAuckland FC
Auckland FC

Auckland FC

A-League (Div. 1)

League Pos. 2 / 12

Australia

Form Last 5 PPG
Overall
  • W
  • D
  • W
  • L
  • D
1.74
Home
  • D
  • W
  • W
  • D
  • L
1.64
Away
  • L
  • D
  • W
  • W
  • D
1.83
Statistics Overall Home Away
Win % 48% 45% 50%
AVG 2.70 2.91 2.50
Scored 1.65 1.64 1.67
Conceded 1.04 1.27 0.83
BTTS 70% 73% 67%
CS 30% 27% 33%

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231.751.25+0.501.651.04-0.10
3Newcastle Jets FC BadgeNewcastle Jets FC
Newcastle Jets FC

Newcastle Jets FC

A-League (Div. 1)

League Pos. 1 / 12

Australia

Form Last 5 PPG
Overall
  • D
  • W
  • L
  • W
  • L
1.87
Home
  • W
  • W
  • W
  • W
  • L
1.64
Away
  • W
  • W
  • D
  • W
  • L
2.08
Statistics Overall Home Away
Win % 61% 55% 67%
AVG 3.65 4.00 3.33
Scored 2.09 2.27 1.92
Conceded 1.57 1.73 1.42
BTTS 74% 73% 75%
CS 17% 18% 17%

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231.721.79-0.072.091.57+0.37
4Western Sydney Wanderers FC BadgeWestern Sydney Wanderers FC
Western Sydney Wanderers FC

Western Sydney Wanderers FC

A-League (Div. 1)

League Pos. 12 / 12

Australia

Form Last 5 PPG
Overall
  • W
  • L
  • D
  • L
  • L
0.91
Home
  • L
  • W
  • D
  • D
  • L
1.18
Away
  • L
  • W
  • L
  • D
  • L
0.67
Statistics Overall Home Away
Win % 22% 27% 17%
AVG 2.74 2.45 3.00
Scored 1.13 1.09 1.17
Conceded 1.61 1.36 1.83
BTTS 52% 55% 50%
CS 22% 27% 17%

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231.651.55+0.101.131.61-0.52
5Sydney FC BadgeSydney FC
Sydney FC

Sydney FC

A-League (Div. 1)

League Pos. 5 / 12

Australia

Form Last 5 PPG
Overall
  • W
  • D
  • L
  • L
  • D
1.48
Home
  • D
  • W
  • D
  • L
  • L
1.55
Away
  • W
  • L
  • L
  • W
  • D
1.42
Statistics Overall Home Away
Win % 43% 45% 42%
AVG 2.26 2.55 2.00
Scored 1.26 1.55 1.00
Conceded 1.00 1.00 1.00
BTTS 35% 45% 25%
CS 39% 36% 42%

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231.641.61+0.031.261.00-0.38
6Adelaide United FC BadgeAdelaide United FC
Adelaide United FC

Adelaide United FC

A-League (Div. 1)

League Pos. 3 / 12

Australia

Form Last 5 PPG
Overall
  • D
  • D
  • D
  • W
  • D
1.57
Home
  • D
  • L
  • W
  • D
  • D
1.75
Away
  • W
  • W
  • D
  • D
  • W
1.36
Statistics Overall Home Away
Win % 43% 50% 36%
AVG 3.17 3.17 3.18
Scored 1.74 1.83 1.64
Conceded 1.43 1.33 1.55
BTTS 78% 67% 91%
CS 13% 17% 9%

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231.591.77-0.181.741.43+0.15
7Macarthur FC BadgeMacarthur FC
Macarthur FC

Macarthur FC

A-League (Div. 1)

League Pos. 6 / 12

Australia

Form Last 5 PPG
Overall
  • L
  • L
  • L
  • W
  • W
1.35
Home
  • W
  • D
  • L
  • L
  • W
1.33
Away
  • D
  • D
  • L
  • L
  • W
1.36
Statistics Overall Home Away
Win % 35% 33% 36%
AVG 3.00 3.33 2.64
Scored 1.35 1.50 1.18
Conceded 1.65 1.83 1.45
BTTS 61% 67% 55%
CS 13% 8% 18%

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231.561.560.001.351.65-0.21
8Melbourne City FC BadgeMelbourne City FC
Melbourne City FC

Melbourne City FC

A-League (Div. 1)

League Pos. 8 / 12

Australia

Form Last 5 PPG
Overall
  • L
  • L
  • W
  • D
  • W
1.32
Home
  • W
  • L
  • W
  • L
  • W
1.40
Away
  • D
  • D
  • L
  • W
  • D
1.25
Statistics Overall Home Away
Win % 32% 40% 25%
AVG 2.41 2.30 2.50
Scored 1.14 1.30 1.00
Conceded 1.27 1.00 1.50
BTTS 45% 40% 50%
CS 41% 40% 42%

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221.491.36+0.131.141.27-0.35
9Wellington Phoenix FC BadgeWellington Phoenix FC
Wellington Phoenix FC

Wellington Phoenix FC

A-League (Div. 1)

League Pos. 7 / 12

Australia

Form Last 5 PPG
Overall
  • L
  • D
  • W
  • W
  • W
1.30
Home
  • D
  • L
  • L
  • L
  • W
1.17
Away
  • L
  • D
  • D
  • W
  • W
1.45
Statistics Overall Home Away
Win % 35% 33% 36%
AVG 3.26 3.25 3.27
Scored 1.48 1.42 1.55
Conceded 1.78 1.83 1.73
BTTS 70% 67% 73%
CS 17% 8% 27%

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231.451.46-0.011.481.78+0.03
10Brisbane Roar FC BadgeBrisbane Roar FC
Brisbane Roar FC

Brisbane Roar FC

A-League (Div. 1)

League Pos. 10 / 12

Australia

Form Last 5 PPG
Overall
  • L
  • D
  • D
  • L
  • D
1.09
Home
  • L
  • D
  • D
  • L
  • D
1.08
Away
  • L
  • W
  • L
  • D
  • L
1.09
Statistics Overall Home Away
Win % 26% 25% 27%
AVG 2.22 2.25 2.18
Scored 0.96 1.00 0.91
Conceded 1.26 1.25 1.27
BTTS 52% 42% 64%
CS 30% 42% 18%

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231.431.29+0.140.961.26-0.47
11Perth Glory FC BadgePerth Glory FC
Perth Glory FC

Perth Glory FC

A-League (Div. 1)

League Pos. 11 / 12

Australia

Form Last 5 PPG
Overall
  • D
  • D
  • L
  • D
  • D
1.04
Home
  • W
  • L
  • W
  • L
  • D
1.00
Away
  • L
  • D
  • D
  • L
  • D
1.08
Statistics Overall Home Away
Win % 26% 27% 25%
AVG 2.78 2.27 3.25
Scored 1.17 1.00 1.33
Conceded 1.61 1.27 1.92
BTTS 52% 45% 58%
CS 13% 18% 8%

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231.291.68-0.391.171.61-0.12
12Central Coast Mariners FC BadgeCentral Coast Mariners FC
Central Coast Mariners FC

Central Coast Mariners FC

A-League (Div. 1)

League Pos. 9 / 12

Australia

Form Last 5 PPG
Overall
  • D
  • W
  • D
  • L
  • D
1.27
Home
  • W
  • W
  • D
  • D
  • D
1.25
Away
  • L
  • D
  • W
  • W
  • L
1.30
Statistics Overall Home Away
Win % 32% 25% 40%
AVG 2.95 2.50 3.50
Scored 1.41 1.25 1.60
Conceded 1.55 1.25 1.90
BTTS 68% 75% 60%
CS 23% 25% 20%

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221.102.05-0.951.411.55+0.31

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

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 A-League Expected Points Table.

Players with the Most xG

# PlayerxG TotalGoalsxG / 90'ShotsPositionApps
1Jesse Randall BadgeJesse Randall12.3490.5976FW23
2Sam Cosgrove BadgeSam Cosgrove11.52100.6258FW22
3Luka Jovanovic BadgeLuka Jovanovic9.590.5751MF20
4Lachlan Brook BadgeLachlan Brook8.5770.5158MF23
5Lachlam Rose BadgeLachlam Rose8.0580.4841MF23
6Clayton Taylor BadgeClayton Taylor7.8680.6539MF18
7Max Caputo BadgeMax Caputo7.5180.4835FW22
8Harrison Sawyer BadgeHarrison Sawyer7.4860.6947FW23
9Carlo Armiento BadgeCarlo Armiento7.2850.4246FW21
10Víctor Campuzano Bonilla BadgeVíctor Campuzano Bonilla7.2640.3954FW23
11Nikolaos Vergos BadgeNikolaos Vergos7.1260.5443FW23
12Adam Jake Taggart BadgeAdam Jake Taggart6.9850.4654FW20
13Clarismario Santos Rodrigues BadgeClarismario Santos Rodrigues6.8850.5444MF21
14 Badge6.6850.5244MF18
15Bozhidar Kraev BadgeBozhidar Kraev6.6450.3551MF22
16Eze Kelvin BadgeEze Kelvin6.5890.4237MF22
17Samuel Klein BadgeSamuel Klein5.9730.2858MF22
18Juan Mata BadgeJuan Mata5.9250.3234MF23
19Sabit Ngor BadgeSabit Ngor5.8960.4226MF22
20Joe Lolley BadgeJoe Lolley5.6940.5343FW14
21Tiago Quintal BadgeTiago Quintal5.6150.4337MF21
22Tom Lawrence BadgeTom Lawrence5.5750.4934MF13
23Jonny Yull BadgeJonny Yull5.4840.3233MF22
24Nishan Velupillay BadgeNishan Velupillay5.4530.4241FW18
25Brandon Joel Gaetano Borrello BadgeBrandon Joel Gaetano Borrello5.430.3751FW19

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

xG Overall (Per Match)

xGA Overall (Per Match)

xGA Home

xGA Away

xG (Expected Goals) By Teams in A-League


Which Team Has The Best xG?

Currently, Melbourne Victory FC has the best xG (Expected Goals For) in the A-League with 1.90 xG per game.

Which Team Has The Worst xG?

Currently, Central Coast Mariners FC has the worst xG (Expected Goals For) in the A-League with 1.10 xG per game.

Who Has The Best xG at Home?

The team with the best xG when playing at home this season is Auckland FC, who has an xG of 2.06 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 Central Coast Mariners FC, who is expected to score just 1.10 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 Melbourne Victory FC, who is expected to score 1.78 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 Perth Glory FC, who is expected to score just 1.09 goals per game in their opponents stadium.

Who Has The Best xGA?

Auckland FC has the best xGA (Expected Goals Against) in the A-League with just 1.25 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?

Melbourne Victory FC has the best xGA (Expected Goals Against) in the A-League when playing at home with just 1.11 goals expected against them per game. They are formidable when playing at home.

Who Has The Best xGA Away From Home?

Auckland FC has the best xGA (Expected Goals Against) in the A-League when playing away from home with just 1.31 goals expected against them per game. Very frustrating for those home fans who must watch their team face Auckland FC.

Who Has The Worst xGA?

Fans of Newcastle Jets FC will demand better defending in the future, with 1.79 xGA (Goals Expected Against). The worst of all teams in the A-League 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 Central Coast Mariners FC, who is expected to concede 2.09 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 Central Coast Mariners FC, who is expected to concede 2.00 goals per game whilst on their travels.

How is the xG calculated for A-League?

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 A-League. 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 A-League's xG data.

xG (Expected Goals) - Australia

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