#TeamPGxG/90+/-
1Sanfrecce Hiroshima112525.942.36-0.9
2FC Tokyo112122.982.09-2
3Machida Zelvia113019.961.81+10
4Kawasaki Frontale112318.731.7+4.3
5Kashima Antlers112318.011.64+5
6Vissel Kobe111817.871.62+0.1
7Kashiwa Reysol112217.851.62+4.2
8Urawa Reds112017.291.57+2.7
9Yokohama F. Marinos111514.831.35+0.2
10Gamba Osaka111214.211.29-2.2
11Nagoya Grampus111313.271.21-0.3
12Shimizu S-Pulse111013.151.2-3.2
13V-Varen Nagasaki111513.011.18+2
14Fagiano Okayama111411.691.06+2.3
15JEF United111011.281.03-1.3
16Kyoto Sanga111311.261.02+1.7
17Avispa Fukuoka111211.171.02+0.8
18Cerezo Osaka1110111-1
19Mito Hollyhock111210.520.96+1.5
20Tokyo Verdy1169.820.89-3.8
#TeamPGAxGA/90+/-
1Sanfrecce Hiroshima11108.830.8+1.2
2Fagiano Okayama111510.270.93+4.7
3FC Tokyo11812.051.1-4.1
4Kashima Antlers111812.291.12+5.7
5Machida Zelvia111012.781.16-2.8
6Vissel Kobe111113.221.2-2.2
7Kawasaki Frontale1117151.36+2
8Kashiwa Reysol111715.091.37+1.9
9Avispa Fukuoka111815.221.38+2.8
10Nagoya Grampus111715.41.4+1.6
11Yokohama F. Marinos111115.691.43-4.7
12Urawa Reds112315.861.44+7.1
13V-Varen Nagasaki111815.881.44+2.1
14JEF United112217.11.55+4.9
15Cerezo Osaka111717.371.58-0.4
16Mito Hollyhock111617.551.6-1.6
17Tokyo Verdy112017.621.6+2.4
18Kyoto Sanga112118.621.69+2.4
19Gamba Osaka111918.811.71+0.2
20Shimizu S-Pulse111619.191.74-3.2
#TeamPPTSxPTS/90+/-
1Sanfrecce Hiroshima112323.42.13-0.4
2FC Tokyo112421.361.94+2.6
3Machida Zelvia112619.371.76+6.6
4Kashima Antlers112018.71.7+1.3
5Vissel Kobe112218.371.67+3.6
6Kawasaki Frontale111917.11.55+1.9
7Kashiwa Reysol112216.931.54+5.1
8Fagiano Okayama111616.491.5-0.5
9Urawa Reds111816.261.48+1.7
10Yokohama F. Marinos111714.921.36+2.1
11Nagoya Grampus111313.941.27-0.9
12Avispa Fukuoka11713.821.26-6.8
13Shimizu S-Pulse111413.411.22+0.6
14V-Varen Nagasaki111212.741.16-0.7
15Gamba Osaka111012.41.13-2.4
16JEF United11611.971.09-6
17Cerezo Osaka111311.641.06+1.4
18Mito Hollyhock11910.870.99-1.9
19Kyoto Sanga11910.70.97-1.7
20Tokyo Verdy11510.010.91-5
#TeamPxGxGAxGD/90
1Sanfrecce Hiroshima1125.948.8317.111.56
2FC Tokyo1122.9812.0510.930.99
3Machida Zelvia1119.9612.787.180.65
4Kashima Antlers1118.0112.295.720.52
5Vissel Kobe1117.8713.224.650.42
6Kawasaki Frontale1118.73153.730.34
7Kashiwa Reysol1117.8515.092.760.25
8Urawa Reds1117.2915.861.430.13
9Fagiano Okayama1111.6910.271.420.13
10Yokohama F. Marinos1114.8315.69-0.86-0.08
11Nagoya Grampus1113.2715.4-2.13-0.19
12V-Varen Nagasaki1113.0115.88-2.87-0.26
13Avispa Fukuoka1111.1715.22-4.05-0.37
14Gamba Osaka1114.2118.81-4.6-0.42
15JEF United1111.2817.1-5.82-0.53
16Shimizu S-Pulse1113.1519.19-6.04-0.55
17Cerezo Osaka111117.37-6.37-0.58
18Mito Hollyhock1110.5217.55-7.03-0.64
19Kyoto Sanga1111.2618.62-7.36-0.67
20Tokyo Verdy119.8217.62-7.8-0.71
#TeamPGnpxGxG/90
1Sanfrecce Hiroshima112524.3625.942.36
2FC Tokyo112122.1922.982.09
3Machida Zelvia113019.9619.961.81
4Kawasaki Frontale112318.7318.731.7
5Kashiwa Reysol112217.8517.851.62
6Urawa Reds112017.2917.291.57
7Kashima Antlers112316.4318.011.64
8Vissel Kobe111816.2917.871.62
9Gamba Osaka111214.2114.211.29
10Yokohama F. Marinos111514.0414.831.35
11Nagoya Grampus111312.4813.271.21
12Shimizu S-Pulse111012.3613.151.2
13V-Varen Nagasaki111512.2213.011.18
14Fagiano Okayama111411.6911.691.06
15JEF United111011.2811.281.03
16Kyoto Sanga111311.2611.261.02
17Avispa Fukuoka111211.1711.171.02
18Tokyo Verdy1169.829.820.89
19Mito Hollyhock11128.9410.520.96
20Cerezo Osaka11108.63111
#TeamPGxGoTxG/90
1Sanfrecce Hiroshima112527.2425.942.36
2Machida Zelvia113022.2719.961.81
3Kawasaki Frontale11232118.731.7
4Vissel Kobe111819.6717.871.62
5FC Tokyo112119.0422.982.09
6Kashiwa Reysol112216.3117.851.62
7Kashima Antlers112314.918.011.64
8Urawa Reds112014.217.291.57
9Gamba Osaka111213.7114.211.29
10JEF United111012.8911.281.03
11Yokohama F. Marinos111512.6414.831.35
12Nagoya Grampus111311.9613.271.21
13V-Varen Nagasaki111511.8413.011.18
14Mito Hollyhock111211.6110.520.96
15Kyoto Sanga111311.4311.261.02
16Fagiano Okayama111411.2711.691.06
17Shimizu S-Pulse111010.8613.151.2
18Avispa Fukuoka111210.4911.171.02
19Cerezo Osaka11108.52111
20Tokyo Verdy1165.529.820.89
Upcoming Fixtures (Next 14 Days)
Show xG:

Showing home xG for home teams, away xG for away teams Showing overall xG for all teams

No upcoming fixtures available.

Recent Results with xG
xG
Wed, Oct 21
xG
1.25
Urawa Reds
3 - 2
JEF United
1.47
2.29
Kawasaki Frontale
2 - 1
Vissel Kobe
1.48
1.89
FC Tokyo
0 - 0
Kashiwa Reysol
1.56
2.39
Yokohama F. Marinos
2 - 2
Tokyo Verdy
1.93
0.31
Kyoto Sanga
2 - 2
Kashima Antlers
1.98
1.29
Nagoya Grampus
1 - 1
Cerezo Osaka
0.87
0.16
Shimizu S-Pulse
0 - 5
Machida Zelvia
3.45
2.36
V-Varen Nagasaki
4 - 0
Sanfrecce Hiroshima
1.16
0.86
Avispa Fukuoka
1 - 2
Gamba Osaka
0.6
1.11
Fagiano Okayama
2 - 0
Mito Hollyhock
0.29
xG
Sun, Oct 18
xG
1.45
Machida Zelvia
3 - 0
Avispa Fukuoka
0.88
1.17
Fagiano Okayama
0 - 3
Vissel Kobe
2.29
xG
Sat, Oct 17
xG
1.07
Kashiwa Reysol
1 - 3
Nagoya Grampus
1.62
0.03
Mito Hollyhock
0 - 1
Urawa Reds
2.96
1.08
Kashima Antlers
2 - 0
V-Varen Nagasaki
1.04
1.82
Cerezo Osaka
2 - 4
Kawasaki Frontale
1.43
0.1
Tokyo Verdy
0 - 4
FC Tokyo
2.78
1.83
Sanfrecce Hiroshima
3 - 0
Kyoto Sanga
0.67
0.79
JEF United
0 - 0
Yokohama F. Marinos
0.8
1.11
Shimizu S-Pulse
2 - 2
Gamba Osaka
1.26
xG
Sun, Oct 11
xG
0.77
Kawasaki Frontale
1 - 2
Nagoya Grampus
1.24
0.5
Tokyo Verdy
0 - 2
Sanfrecce Hiroshima
1.05
0.71
Mito Hollyhock
1 - 2
Shimizu S-Pulse
0.89
1.71
JEF United
1 - 1
V-Varen Nagasaki
0.77
xG
Sat, Oct 10
xG
1.34
Kyoto Sanga
0 - 1
Machida Zelvia
0.94
2.32
FC Tokyo
3 - 0
Urawa Reds
0.81
1.13
Avispa Fukuoka
2 - 1
Fagiano Okayama
0.59
0.63
Cerezo Osaka
0 - 0
Yokohama F. Marinos
1.18
xG
Fri, Oct 9
xG
1.25
Kashima Antlers
2 - 0
Gamba Osaka
0.88
1.83
Kashiwa Reysol
4 - 2
Vissel Kobe
2
xG
Sun, Sep 20
xG
2.23
Gamba Osaka
0 - 1
Vissel Kobe
1.36
0.92
Machida Zelvia
2 - 4
Kashiwa Reysol
2.27
xG
Sat, Sep 19
xG
1.66
Yokohama F. Marinos
2 - 0
Mito Hollyhock
0.39
0.71
FC Tokyo
1 - 0
Nagoya Grampus
0.67
0.31
Fagiano Okayama
1 - 2
Kyoto Sanga
0.59
1.17
Shimizu S-Pulse
2 - 1
JEF United
0.86
0.98
Urawa Reds
3 - 1
Tokyo Verdy
0.21
1.27
V-Varen Nagasaki
1 - 1
Cerezo Osaka
1.99
2.32
Kawasaki Frontale
3 - 3
Kashima Antlers
1.09
0.18
Avispa Fukuoka
0 - 1
Sanfrecce Hiroshima
4.64
xG
Sun, Sep 13
xG
0.46
Urawa Reds
1 - 2
Fagiano Okayama
1.41
1.57
Tokyo Verdy
1 - 1
JEF United
1.48
xG
Sat, Sep 12
xG
1.29
Gamba Osaka
0 - 2
FC Tokyo
2.34
4.09
Sanfrecce Hiroshima
6 - 1
Cerezo Osaka
0.42
1.99
V-Varen Nagasaki
2 - 0
Nagoya Grampus
0.82
1.3
Machida Zelvia
1 - 1
Yokohama F. Marinos
0.68
1.61
Shimizu S-Pulse
1 - 0
Avispa Fukuoka
0.29
0.46
Mito Hollyhock
0 - 1
Kawasaki Frontale
1.46
xG
Fri, Sep 11
xG
1.59
Vissel Kobe
2 - 1
Kashima Antlers
1.49
1.84
Kyoto Sanga
2 - 3
Kashiwa Reysol
2.83

Download This Data as CSV

Get full access to xG, xGA, xPTS, and 30+ metrics for every team. Export to CSV and power your own analysis.

50+ Leagues 30+ Metrics Updated Daily

J-League xG Table 2026/27

The J-League xG table for 2026/27 tracks expected goals data for all 20 teams. This includes xG (expected goals), xGA (expected goals against), xPTS (expected points), npxG (non-penalty xG), xGoT (expected goals on target), and the goals vs xG overperformance metric.

Who has the best attack?

Sanfrecce Hiroshima top the xG charts with 25.94 expected goals from 11 games (2.36/90). With 25 goals scored, they are underperforming by 0.9.

Who has the best defence?

Sanfrecce Hiroshima have the tightest defence by xGA, conceding just 8.83 expected goals (0.8/90). Their actual goals conceded stands at 10.

Biggest overperformer

Machida Zelvia are the biggest overperformers in J-League, scoring 30 goals from an xG of just 19.96 — a difference of +10. This could indicate clinical finishing or luck that may not be sustainable over the full season.

Biggest underperformer

Tokyo Verdy are the most wasteful in front of goal, scoring 6 from an xG of 9.82 (diff: -3.8). Regression towards their xG would suggest improvement is likely.

Understanding the xG metrics

  • xG (Expected Goals): The total expected goals a team should have scored based on the quality of their chances.
  • xGA (Expected Goals Against): How many goals a team should have conceded — lower is better.
  • xPTS (Expected Points): How many league points a team deserves based on xG performance.
  • npxG (Non-Penalty xG): xG excluding penalties, giving a truer picture of open-play chance creation.
  • xGoT (xG on Target): Expected goals from shots that were on target only.
  • +/- (Overperformance): The difference between actual goals and xG. Positive = overperforming, negative = underperforming.

Data is updated daily, powered by advanced xG models covering 50+ competitions. Learn more about how xG works.

Data last updated: 2026-10-23 02:55:56