J1 League — xG (Expected Goals)
Japan · 2027
Japan — J1 League 2027 — Detailed Stats
Expected Goals (xG)
xG data available for 13 games| # | Team | MP | xGF | xGF/g | xGA | xGA/g | GF | GA | Diff |
|---|---|---|---|---|---|---|---|---|---|
| 1 | 13 | 30.5 | 2.35 | 11.9 | 0.92 | 32 | 10 | +1.5 | |
| 2 | 13 | 26.1 | 2.01 | 11.8 | 0.90 | 31 | 8 | +4.9 | |
| 3 | 13 | 25.3 | 1.95 | 23.3 | 1.79 | 27 | 22 | +1.7 | |
| 4 | 13 | 24.0 | 1.84 | 14.9 | 1.15 | 30 | 10 | +6 | |
| 5 | 13 | 21.0 | 1.61 | 17.0 | 1.31 | 29 | 22 | +8 | |
| 6 | 13 | 19.4 | 1.49 | 14.8 | 1.13 | 21 | 12 | +1.6 | |
| 7 | 12 | 19.0 | 1.59 | 15.2 | 1.27 | 29 | 19 | +10 | |
| 8 | 13 | 18.8 | 1.45 | 21.6 | 1.66 | 21 | 27 | +2.2 | |
| 9 | 13 | 18.3 | 1.41 | 18.2 | 1.40 | 15 | 24 | -3.3 | |
| 10 | 13 | 17.7 | 1.36 | 22.7 | 1.74 | 14 | 21 | -3.7 | |
| 11 | 13 | 17.2 | 1.32 | 18.3 | 1.40 | 13 | 24 | -4.2 | |
| 12 | 13 | 17.2 | 1.32 | 20.6 | 1.58 | 16 | 21 | -1.2 | |
| 13 | 13 | 16.9 | 1.30 | 17.0 | 1.31 | 20 | 14 | +3.1 | |
| 14 | 13 | 16.8 | 1.29 | 19.8 | 1.52 | 15 | 21 | -1.8 | |
| 15 | 13 | 16.3 | 1.26 | 20.2 | 1.55 | 17 | 23 | +0.7 | |
| 16 | 13 | 15.2 | 1.17 | 21.0 | 1.62 | 13 | 23 | -2.2 | |
| 17 | 13 | 13.9 | 1.07 | 15.1 | 1.16 | 15 | 21 | +1.1 | |
| 18 | 13 | 12.5 | 0.96 | 21.6 | 1.66 | 10 | 22 | -2.5 | |
| 19 | 13 | 12.0 | 0.92 | 23.6 | 1.81 | 12 | 25 | 0 | |
| 20 | 12 | 9.7 | 0.81 | 19.5 | 1.62 | 11 | 22 | +1.3 |
xGF = xG For (created)xGA = xG Against (conceded)Diff = GF − xGF (over/under-performing)
xG Attack Ranking
LEAGUE xG STATS
20 teams with xG data
League avg xGF/g: 1.42
League avg xGA/g: 1.43
Best overperformer: Kashiwa Reysol (+10.0)
Biggest underperformer: Avispa Fukuoka (-4.2)
J1 League (Japan) — Expected Goals (xG) Analysis
The J1 League (Japan) averages 1.42 xG per game this season. Sanfrecce Hiroshima creates the most chances with 2.35 xGF per game, while Tokyo Verdy creates the fewest with 0.81 xGF per game. Kashiwa Reysol is over-performing their xG (29 goals vs 19.0 xGF) — regression likely. Avispa Fukuoka is under-performing (13 goals vs 17.2 xGF) — improvement expected.
Betting Angle — xG & Regression Markets
xG is the most powerful predictor of future performance — teams that consistently over-perform their xG (scoring more than expected) tend to regress. Look for under-performing high-xG teams as value opportunities in match result markets, especially Asian Handicap and Both Teams To Score.
Expected Goals (xG) — Japan
- Emperor Cup xG— Division Gold
- J-League Cup xG— Division Gold
- J2 League xG— Division Gold
- J2/J3 League xG
- J3 League xG— Division Pro
- Japan Football League xG— Division Regional
- Super Cup xG— Division Premium
- WE League xG— Division Women's Elite