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
  • L
  • D
  • D
  • W
  • L
1.48
Home
  • W
  • W
  • L
  • D
  • L
1.57
Away
  • W
  • W
  • D
  • D
  • W
1.38
Statistics Overall Home Away
Win % 41% 43% 38%
AVG 2.89 2.93 2.85
Scored 1.63 1.86 1.38
Conceded 1.26 1.07 1.46
BTTS 52% 57% 46%
CS 22% 14% 31%

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271.881.26+0.621.631.26-0.25
2Auckland FC BadgeAuckland FC
Auckland FC

Auckland FC

A-League (Div. 1)

League Pos. 3 / 12

Australia

Form Last 5 PPG
Overall
  • D
  • L
  • D
  • D
  • D
1.57
Home
  • L
  • D
  • L
  • D
  • D
1.40
Away
  • D
  • W
  • W
  • D
  • D
1.77
Statistics Overall Home Away
Win % 39% 33% 46%
AVG 2.68 2.73 2.62
Scored 1.57 1.47 1.69
Conceded 1.11 1.27 0.92
BTTS 71% 73% 69%
CS 25% 20% 31%

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281.731.32+0.411.571.11-0.16
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
  • L
  • D
  • D
  • W
  • D
1.81
Home
  • W
  • W
  • L
  • D
  • W
1.69
Away
  • D
  • W
  • L
  • D
  • D
1.93
Statistics Overall Home Away
Win % 56% 54% 57%
AVG 3.56 3.85 3.29
Scored 2.07 2.31 1.86
Conceded 1.48 1.54 1.43
BTTS 74% 69% 79%
CS 19% 23% 14%

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271.711.77-0.062.071.48+0.36
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
  • L
  • L
  • L
  • L
  • L
0.81
Home
  • D
  • D
  • L
  • L
  • L
1.00
Away
  • W
  • L
  • D
  • L
  • L
0.62
Statistics Overall Home Away
Win % 19% 23% 15%
AVG 2.69 2.38 3.00
Scored 1.04 0.92 1.15
Conceded 1.65 1.46 1.85
BTTS 50% 46% 54%
CS 19% 23% 15%

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261.641.57+0.071.041.65-0.60
5Adelaide United FC BadgeAdelaide United FC
Adelaide United FC

Adelaide United FC

A-League (Div. 1)

League Pos. 2 / 12

Australia

Form Last 5 PPG
Overall
  • D
  • D
  • W
  • W
  • D
1.63
Home
  • L
  • W
  • D
  • D
  • W
1.85
Away
  • D
  • W
  • D
  • W
  • D
1.43
Statistics Overall Home Away
Win % 44% 54% 36%
AVG 3.11 3.23 3.00
Scored 1.74 1.92 1.57
Conceded 1.37 1.31 1.43
BTTS 81% 69% 93%
CS 11% 15% 7%

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271.631.74-0.111.741.37+0.11
6Sydney FC BadgeSydney FC
Sydney FC

Sydney FC

A-League (Div. 1)

League Pos. 5 / 12

Australia

Form Last 5 PPG
Overall
  • W
  • D
  • D
  • W
  • D
1.54
Home
  • L
  • L
  • D
  • D
  • D
1.43
Away
  • L
  • W
  • D
  • W
  • W
1.64
Statistics Overall Home Away
Win % 43% 36% 50%
AVG 2.18 2.43 1.93
Scored 1.25 1.43 1.07
Conceded 0.93 1.00 0.86
BTTS 36% 50% 21%
CS 43% 36% 50%

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281.631.56+0.071.250.93-0.38
7Macarthur FC BadgeMacarthur FC
Macarthur FC

Macarthur FC

A-League (Div. 1)

League Pos. 7 / 12

Australia

Form Last 5 PPG
Overall
  • W
  • W
  • L
  • L
  • W
1.31
Home
  • D
  • L
  • L
  • W
  • W
1.46
Away
  • L
  • L
  • W
  • L
  • L
1.15
Statistics Overall Home Away
Win % 35% 38% 31%
AVG 3.12 3.38 2.85
Scored 1.42 1.69 1.15
Conceded 1.69 1.69 1.69
BTTS 62% 62% 62%
CS 15% 15% 15%

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261.591.60-0.011.421.69-0.17
8Melbourne City FC BadgeMelbourne City FC
Melbourne City FC

Melbourne City FC

A-League (Div. 1)

League Pos. 6 / 12

Australia

Form Last 5 PPG
Overall
  • W
  • W
  • W
  • L
  • D
1.44
Home
  • L
  • W
  • W
  • W
  • L
1.54
Away
  • L
  • W
  • D
  • W
  • D
1.36
Statistics Overall Home Away
Win % 37% 46% 29%
AVG 2.52 2.38 2.64
Scored 1.26 1.38 1.14
Conceded 1.26 1.00 1.50
BTTS 52% 46% 57%
CS 37% 38% 36%

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271.541.37+0.171.261.26-0.28
9Brisbane Roar FC BadgeBrisbane Roar FC
Brisbane Roar FC

Brisbane Roar FC

A-League (Div. 1)

League Pos. 11 / 12

Australia

Form Last 5 PPG
Overall
  • L
  • D
  • D
  • L
  • L
1.00
Home
  • D
  • D
  • L
  • D
  • L
1.00
Away
  • L
  • D
  • L
  • D
  • L
1.00
Statistics Overall Home Away
Win % 23% 23% 23%
AVG 2.42 2.46 2.38
Scored 1.04 1.08 1.00
Conceded 1.38 1.38 1.38
BTTS 58% 46% 69%
CS 27% 38% 15%

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261.451.27+0.181.041.38-0.41
10Wellington Phoenix FC BadgeWellington Phoenix FC
Wellington Phoenix FC

Wellington Phoenix FC

A-League (Div. 1)

League Pos. 8 / 12

Australia

Form Last 5 PPG
Overall
  • W
  • W
  • L
  • W
  • L
1.27
Home
  • L
  • L
  • L
  • W
  • W
1.31
Away
  • D
  • W
  • W
  • L
  • L
1.23
Statistics Overall Home Away
Win % 35% 38% 31%
AVG 3.23 3.23 3.23
Scored 1.38 1.46 1.31
Conceded 1.85 1.77 1.92
BTTS 65% 69% 62%
CS 15% 8% 23%

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261.431.52-0.091.381.85-0.05
11Perth Glory FC BadgePerth Glory FC
Perth Glory FC

Perth Glory FC

A-League (Div. 1)

League Pos. 10 / 12

Australia

Form Last 5 PPG
Overall
  • D
  • D
  • W
  • D
  • W
1.19
Home
  • W
  • L
  • D
  • W
  • W
1.31
Away
  • D
  • D
  • L
  • D
  • D
1.08
Statistics Overall Home Away
Win % 31% 38% 23%
AVG 2.73 2.46 3.00
Scored 1.23 1.23 1.23
Conceded 1.50 1.23 1.77
BTTS 54% 54% 54%
CS 15% 15% 15%

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261.311.66-0.351.231.50-0.08
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
  • L
  • D
  • W
  • L
1.23
Home
  • W
  • D
  • D
  • D
  • D
1.23
Away
  • W
  • L
  • L
  • W
  • L
1.23
Statistics Overall Home Away
Win % 31% 23% 38%
AVG 2.96 2.62 3.31
Scored 1.35 1.31 1.38
Conceded 1.62 1.31 1.92
BTTS 65% 77% 54%
CS 23% 23% 23%

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261.102.05-0.951.351.62+0.25

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
1Sam Cosgrove BadgeSam Cosgrove13.02110.5672FW27
2Jesse Randall BadgeJesse Randall12.5490.4984FW28
3Luka Jovanovic BadgeLuka Jovanovic10.96110.655MF23
4Lachlan Brook BadgeLachlan Brook10.4390.4970FW28
5 Badge9.8390.6253MF22
6Clayton Taylor BadgeClayton Taylor990.5847MF22
7Lachlam Rose BadgeLachlam Rose8.580.4846MF25
8Max Caputo BadgeMax Caputo8.2880.4545FW27
9Guillermo Luis May Bartesaghi BadgeGuillermo Luis May Bartesaghi8.2360.4858FW26
10Nikolaos Vergos BadgeNikolaos Vergos7.8670.5944FW25
11Eze Kelvin BadgeEze Kelvin7.75100.4245MF25
12Clarismario Santos Rodrigues BadgeClarismario Santos Rodrigues7.7260.5347MF24
13Bozhidar Kraev BadgeBozhidar Kraev7.4150.3454MF25
14Samuel Klein BadgeSamuel Klein7.3540.366MF25
15Harrison Sawyer BadgeHarrison Sawyer7.3560.6448FW26
16Carlo Armiento BadgeCarlo Armiento7.3150.4246FW22
17Víctor Campuzano Bonilla BadgeVíctor Campuzano Bonilla7.2240.3856FW25
18Adam Jake Taggart BadgeAdam Jake Taggart7.0250.4556FW22
19Brandon Joel Gaetano Borrello BadgeBrandon Joel Gaetano Borrello6.9440.461FW22
20Marcus Younis BadgeMarcus Younis6.7870.6531MF12
21Tiago Quintal BadgeTiago Quintal6.5250.4246MF26
22Jonny Yull BadgeJonny Yull6.3540.342MF26
23Nishan Velupillay BadgeNishan Velupillay6.3340.3852FW22
24Al Hassan Toure BadgeAl Hassan Toure6.2150.5142FW20
25Sabit Ngor BadgeSabit Ngor6.1560.429MF24

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 1.88 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 Melbourne Victory FC, who has an xG of 2.02 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 1.07 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 1.73 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 1.08 goals per game in their opponents stadium.

Who Has The Best xGA?

Melbourne Victory FC has the best xGA (Expected Goals Against) in the A-League with just 1.26 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 1.10 goals expected against them per game. They are formidable when playing at home.

Who Has The Best xGA Away From Home?

Brisbane Roar FC has the best xGA (Expected Goals Against) in the A-League when playing away from home with just 1.36 goals expected against them per game. Very frustrating for those home fans who must watch their team face Brisbane Roar FC.

Who Has The Worst xGA?

Fans of Newcastle Jets FC will demand better defending in the future, with 1.77 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 2.06 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 2.04 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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