xG (Expected Goals) - NB I

xG Per 90, including xG Difference

# TeamMP
Matches Played
xGxGAxGDGFGAxG vs Actual
1Győri ETO FC BadgeGyőri ETO FC
Győri ETO FC

Győri ETO FC

NB I (Div. 1)

League Pos. 1 / 12

Hungary

Form Last 5 PPG
Overall
  • W
  • W
  • D
  • W
  • W
2.09
Home
  • W
  • D
  • W
  • W
  • W
2.13
Away
  • L
  • W
  • W
  • D
  • W
2.06
Statistics Overall Home Away
Win % 61% 63% 59%
AVG 2.88 2.06 3.65
Scored 1.97 1.50 2.41
Conceded 0.91 0.56 1.24
BTTS 55% 31% 76%
CS 39% 56% 24%

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331.971.26+0.711.970.910.00
2Paksi SE BadgePaksi SE
Paksi SE

Paksi SE

NB I (Div. 1)

League Pos. 3 / 12

Hungary

Form Last 5 PPG
Overall
  • L
  • W
  • L
  • W
  • W
1.61
Home
  • L
  • D
  • W
  • W
  • W
1.75
Away
  • D
  • W
  • L
  • L
  • W
1.47
Statistics Overall Home Away
Win % 45% 50% 41%
AVG 3.30 4.13 2.53
Scored 1.91 2.44 1.41
Conceded 1.39 1.69 1.12
BTTS 67% 81% 53%
CS 18% 13% 24%

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331.921.53+0.391.911.39-0.01
3Ferencvárosi TC BadgeFerencvárosi TC
Ferencvárosi TC

Ferencvárosi TC

NB I (Div. 1)

League Pos. 2 / 12

Hungary

Form Last 5 PPG
Overall
  • W
  • L
  • W
  • W
  • W
2.06
Home
  • W
  • W
  • W
  • W
  • W
1.81
Away
  • W
  • D
  • W
  • L
  • W
2.29
Statistics Overall Home Away
Win % 64% 56% 71%
AVG 2.97 3.25 2.71
Scored 2.03 2.06 2.00
Conceded 0.94 1.19 0.71
BTTS 58% 63% 53%
CS 36% 31% 41%

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331.871.21+0.662.030.94+0.16
4Nyíregyháza Spartacus FC BadgeNyíregyháza Spartacus FC
Nyíregyháza Spartacus FC

Nyíregyháza Spartacus FC

NB I (Div. 1)

League Pos. 8 / 12

Hungary

Form Last 5 PPG
Overall
  • W
  • L
  • W
  • D
  • D
1.21
Home
  • L
  • W
  • W
  • W
  • D
1.24
Away
  • W
  • D
  • L
  • L
  • D
1.19
Statistics Overall Home Away
Win % 30% 29% 31%
AVG 3.15 3.18 3.13
Scored 1.42 1.47 1.38
Conceded 1.73 1.71 1.75
BTTS 70% 76% 63%
CS 12% 6% 19%

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331.611.43+0.181.421.73-0.19
5Debreceni VSC BadgeDebreceni VSC
Debreceni VSC

Debreceni VSC

NB I (Div. 1)

League Pos. 4 / 12

Hungary

Form Last 5 PPG
Overall
  • D
  • W
  • D
  • L
  • W
1.61
Home
  • D
  • D
  • L
  • D
  • W
1.56
Away
  • W
  • D
  • D
  • W
  • L
1.65
Statistics Overall Home Away
Win % 42% 44% 41%
AVG 2.79 2.69 2.88
Scored 1.55 1.38 1.71
Conceded 1.24 1.31 1.18
BTTS 58% 63% 53%
CS 27% 13% 41%

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331.601.53+0.071.551.24-0.05
6MTK Budapest FC BadgeMTK Budapest FC
MTK Budapest FC

MTK Budapest FC

NB I (Div. 1)

League Pos. 10 / 12

Hungary

Form Last 5 PPG
Overall
  • W
  • W
  • D
  • D
  • D
1.15
Home
  • D
  • L
  • W
  • W
  • D
1.47
Away
  • D
  • D
  • D
  • D
  • D
0.81
Statistics Overall Home Away
Win % 27% 41% 13%
AVG 3.55 3.88 3.19
Scored 1.67 2.18 1.13
Conceded 1.88 1.71 2.06
BTTS 67% 65% 69%
CS 21% 29% 13%

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331.561.81-0.251.671.88+0.11
7Puskás Ferenc Akadémia FC BadgePuskás Ferenc Akadémia FC
Puskás Ferenc Akadémia FC

Puskás Ferenc Akadémia FC

NB I (Div. 1)

League Pos. 6 / 12

Hungary

Form Last 5 PPG
Overall
  • L
  • L
  • W
  • W
  • D
1.39
Home
  • L
  • D
  • L
  • W
  • D
1.19
Away
  • L
  • W
  • L
  • L
  • W
1.59
Statistics Overall Home Away
Win % 39% 31% 47%
AVG 2.61 2.75 2.47
Scored 1.30 1.25 1.35
Conceded 1.30 1.50 1.12
BTTS 64% 69% 59%
CS 21% 19% 24%

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331.551.49+0.061.301.30-0.25
8Újpest FC BadgeÚjpest FC
Újpest FC

Újpest FC

NB I (Div. 1)

League Pos. 7 / 12

Hungary

Form Last 5 PPG
Overall
  • W
  • W
  • L
  • L
  • L
1.21
Home
  • D
  • W
  • D
  • W
  • L
1.29
Away
  • L
  • L
  • W
  • L
  • L
1.13
Statistics Overall Home Away
Win % 33% 35% 31%
AVG 3.18 3.12 3.25
Scored 1.45 1.47 1.44
Conceded 1.73 1.65 1.81
BTTS 61% 65% 56%
CS 9% 6% 13%

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331.541.70-0.161.451.73-0.09
9Zalaegerszegi TE BadgeZalaegerszegi TE
Zalaegerszegi TE

Zalaegerszegi TE

NB I (Div. 1)

League Pos. 5 / 12

Hungary

Form Last 5 PPG
Overall
  • L
  • W
  • L
  • L
  • L
1.45
Home
  • W
  • W
  • W
  • W
  • L
1.65
Away
  • D
  • D
  • L
  • L
  • L
1.25
Statistics Overall Home Away
Win % 39% 47% 31%
AVG 2.79 2.88 2.69
Scored 1.48 1.76 1.19
Conceded 1.30 1.12 1.50
BTTS 55% 53% 56%
CS 30% 35% 25%

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331.511.57-0.061.481.30-0.03
10Kisvárda Master Good SE BadgeKisvárda Master Good SE
Kisvárda Master Good SE

Kisvárda Master Good SE

NB I (Div. 1)

League Pos. 9 / 12

Hungary

Form Last 5 PPG
Overall
  • D
  • L
  • L
  • L
  • L
1.21
Home
  • W
  • D
  • D
  • L
  • L
1.47
Away
  • D
  • L
  • L
  • L
  • L
0.94
Statistics Overall Home Away
Win % 33% 41% 25%
AVG 2.58 2.47 2.69
Scored 1.09 1.24 0.94
Conceded 1.48 1.24 1.75
BTTS 48% 47% 50%
CS 27% 35% 19%

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331.251.48-0.231.091.48-0.16
11Diósgyőri VTK BadgeDiósgyőri VTK
Diósgyőri VTK

Diósgyőri VTK

NB I (Div. 1)

League Pos. 11 / 12

Hungary

Form Last 5 PPG
Overall
  • L
  • L
  • W
  • L
  • L
0.85
Home
  • D
  • L
  • L
  • L
  • L
1.00
Away
  • D
  • L
  • L
  • W
  • L
0.71
Statistics Overall Home Away
Win % 18% 19% 18%
AVG 3.15 2.88 3.41
Scored 1.18 1.19 1.18
Conceded 1.97 1.69 2.24
BTTS 70% 63% 76%
CS 9% 19% 0%

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331.211.61-0.401.181.97-0.03
12Kazincbarcikai SC BadgeKazincbarcikai SC
Kazincbarcikai SC

Kazincbarcikai SC

NB I (Div. 1)

League Pos. 12 / 12

Hungary

Form Last 5 PPG
Overall
  • L
  • L
  • D
  • W
  • D
0.67
Home
  • L
  • L
  • L
  • D
  • W
0.65
Away
  • L
  • W
  • L
  • L
  • D
0.69
Statistics Overall Home Away
Win % 18% 18% 19%
AVG 3.06 2.71 3.44
Scored 0.94 0.76 1.13
Conceded 2.12 1.94 2.31
BTTS 52% 47% 56%
CS 12% 12% 13%

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331.072.06-0.990.942.12-0.13

This table describes the xG per match of each team in the NB I.

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 NB I Expected Points Table.

Players with the Most xG

# PlayerxG TotalGoalsxG / 90'ShotsPositionApps
1Aljoša Matko BadgeAljoša Matko16.6170.5563FW33
2Daniel Lukacs BadgeDaniel Lukacs15.49170.4961FW33
3Ahmed Nadir Benbouali BadgeAhmed Nadir Benbouali14.41150.5275FW32
4Alen Martin Skribek BadgeAlen Martin Skribek12.6790.5179FW29
5Donát Bárány BadgeDonát Bárány12.12120.5457FW25
6János Csaba Hahn BadgeJános Csaba Hahn10.72110.639FW28
7Zsolt Nagy BadgeZsolt Nagy10.6280.3984DF28
8Barna Tóth BadgeBarna Tóth10.3260.5879FW25
9Ádin Molnár BadgeÁdin Molnár10.27100.4750FW31
10Milán Vitális BadgeMilán Vitális9.9690.3463MF31
11Elton Acolatse BadgeElton Acolatse9.6590.550FW24
12Dániel Böde BadgeDániel Böde9.45101.0335FW23
13Barnabás Varga BadgeBarnabás Varga9.39100.6639FW17
14Gruber Zsombor BadgeGruber Zsombor9.3490.5746FW29
15Muhamed Tijani BadgeMuhamed Tijani9.2380.7254FW15
16Balázs Dzsudzsák BadgeBalázs Dzsudzsák7.9660.2758MF33
17João Victor Vieira Ferreira Sousa BadgeJoão Victor Vieira Ferreira Sousa7.8470.3350FW33
18Krisztofer Horváth BadgeKrisztofer Horváth7.6970.3840MF29
19Lenny Joseph BadgeLenny Joseph7.5870.5742FW25
20Lamin Colley BadgeLamin Colley7.460.4749FW24
21Dominik Kocsis BadgeDominik Kocsis7.3640.2959FW29
22Szabolcs Schön BadgeSzabolcs Schön7.3360.3746FW27
23Claudiu Vasile Bumba BadgeClaudiu Vasile Bumba7.3130.3367MF30
24Ábel György Krajcsovics BadgeÁbel György Krajcsovics7.2340.8330FW24
25Željko Gavrić BadgeŽeljko Gavrić7.1660.3541FW27

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

xG Overall (Per Match)

xG Home

xG Away

xGA Overall (Per Match)

xGA Home

xGA Away

  • XG: Upcoming Fixtures
  • Fixture
    Home XG
    Away XG
    AVG Goals

xG (Expected Goals) By Teams in NB I


Which Team Has The Best xG?

Currently, Győri ETO FC has the best xG (Expected Goals For) in the NB I with 1.97 xG per game.

Which Team Has The Worst xG?

Currently, Kazincbarcikai SC has the worst xG (Expected Goals For) in the NB I with 1.07 xG per game.

Who Has The Best xG at Home?

The team with the best xG when playing at home this season is Paksi SE, who has an xG of 2.22 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 Kazincbarcikai SC, who is expected to score just 1.14 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 Győri ETO FC, who is expected to score 1.87 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 Kazincbarcikai SC, who is expected to score just 1.00 goals per game in their opponents stadium.

Who Has The Best xGA?

Ferencvárosi TC has the best xGA (Expected Goals Against) in the NB I with just 1.21 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?

Győri ETO FC has the best xGA (Expected Goals Against) in the NB I when playing at home with just 1.04 goals expected against them per game. They are formidable when playing at home.

Who Has The Best xGA Away From Home?

Ferencvárosi TC has the best xGA (Expected Goals Against) in the NB I when playing away from home with just 1.29 goals expected against them per game. Very frustrating for those home fans who must watch their team face Ferencvárosi TC.

Who Has The Worst xGA?

Fans of Kazincbarcikai SC will demand better defending in the future, with 2.06 xGA (Goals Expected Against). The worst of all teams in the NB I 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 Kazincbarcikai SC, who is expected to concede 1.75 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 Kazincbarcikai SC, who is expected to concede 2.38 goals per game whilst on their travels.

How is the xG calculated for NB I?

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 NB I. 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 NB I's xG data.

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