J1 League
JapanSeason 2027-2820 teams
Latest results
No fixtures in the next 14 days — predictions appear the day before each round.
Every current predictionJ1 League profile
43%
Home wins
26%
Draws
31%
Away wins
47%
Over 2.5 goals
51%
Both teams scored
2.55
Goals / game
Across 660 J1 League matches in our dataset since 2025-26.
League table
| # | Team | P | W | D | L | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|
| 1 |  Vissel Kobe | 8 | 6 | 1 | 1 | +7 | 19 | WWWWW |
| 2 |  Kashiwa Reysol | 8 | 6 | 0 | 2 | +5 | 18 | WWLLW |
| 3 |  Sanfrecce Hiroshima | 8 | 5 | 2 | 1 | +14 | 17 | WWLWD |
| 4 |  Machida Zelvia | 8 | 5 | 2 | 1 | +11 | 17 | LDWWD |
| 5 |  FC Tokyo | 8 | 5 | 2 | 1 | +6 | 17 | WWWDW |
| 6 |  Yokohama F. Marinos | 8 | 4 | 2 | 2 | +4 | 14 | WDWDL |
| 7 |  Kawasaki Frontale | 8 | 3 | 4 | 1 | +4 | 13 | DWWLW |
| 8 |  Kashima | 8 | 4 | 1 | 3 | +1 | 13 | DLLLW |
| 9 |  Fagiano Okayama | 8 | 4 | 1 | 3 | +1 | 13 | LWWWL |
| 10 |  Urawa | 8 | 4 | 0 | 4 | -2 | 12 | WLWWW |
| 11 |  Cerezo Osaka | 8 | 3 | 2 | 3 | -5 | 11 | DLDWL |
| 12 |  Shimizu S-pulse | 8 | 3 | 1 | 4 | -2 | 10 | WWLDL |
| 13 |  Mito Hollyhock | 8 | 2 | 3 | 3 | 0 | 9 | LLDWD |
| 14 |  Kyoto Sanga | 8 | 2 | 2 | 4 | -4 | 8 | WLLDW |
| 15 |  V-varen Nagasaki | 8 | 2 | 2 | 4 | -5 | 8 | DWLDL |
| 16 |  Gamba Osaka | 8 | 1 | 3 | 4 | -6 | 6 | LLLDD |
| 17 |  Nagoya Grampus | 8 | 2 | 0 | 6 | -7 | 6 | LLLLW |
| 18 |  Avispa Fukuoka | 8 | 1 | 1 | 6 | -3 | 4 | LLDLL |
| 19 |  Tokyo Verdy | 8 | 0 | 4 | 4 | -8 | 4 | LDDLL |
| 20 |  JEF United Chiba | 8 | 1 | 1 | 6 | -11 | 4 | LDWLL |
J1 League team stats
BTTS rate by team
| Team | Played | BTTS |
|---|---|---|
| Fagiano Okayama | 30 | 67% |
| Mito Hollyhock | 28 | 64% |
| Machida Zelvia | 30 | 63% |
| Nagoya Grampus | 30 | 63% |
| Sanfrecce Hiroshima | 30 | 63% |
| Gamba Osaka | 30 | 60% |
| Kawasaki Frontale | 30 | 60% |
| Kyoto Sanga | 30 | 60% |
| JEF United Chiba | 28 | 57% |
| Avispa Fukuoka | 30 | 57% |
| Cerezo Osaka | 30 | 57% |
| V-varen Nagasaki | 28 | 54% |
| Shimizu S-pulse | 30 | 53% |
| Urawa | 30 | 53% |
| FC Tokyo | 30 | 50% |
| Tokyo Verdy | 30 | 50% |
| Yokohama F. Marinos | 30 | 50% |
| Kashima | 30 | 47% |
| Kashiwa Reysol | 30 | 43% |
| Vissel Kobe | 30 | 40% |
Over 2.5 goals rate by team
| Team | Played | Over 2.5 |
|---|---|---|
| Nagoya Grampus | 30 | 67% |
| Sanfrecce Hiroshima | 30 | 60% |
| JEF United Chiba | 28 | 57% |
| Machida Zelvia | 30 | 57% |
| V-varen Nagasaki | 28 | 54% |
| Cerezo Osaka | 30 | 53% |
| Kawasaki Frontale | 30 | 53% |
| Fagiano Okayama | 30 | 50% |
| Gamba Osaka | 30 | 50% |
| Kyoto Sanga | 30 | 50% |
| Yokohama F. Marinos | 30 | 50% |
| FC Tokyo | 30 | 47% |
| Kashiwa Reysol | 30 | 47% |
| Kashima | 30 | 43% |
| Urawa | 30 | 43% |
| Vissel Kobe | 30 | 43% |
| Mito Hollyhock | 28 | 43% |
| Avispa Fukuoka | 30 | 40% |
| Tokyo Verdy | 30 | 40% |
| Shimizu S-pulse | 30 | 33% |
Expected goals 2027-28
| Team | Played | xG | xGA | xG diff | Goals − xG |
|---|---|---|---|---|---|
| Sanfrecce Hiroshima | 5 | 3.33 | 0.86 | +2.47 | −1.6 |
| Kawasaki Frontale | 6 | 2.74 | 1.57 | +1.17 | −2.4 |
| FC Tokyo | 7 | 2.11 | 1.05 | +1.06 | −1.8 |
| Machida Zelvia | 5 | 2.20 | 1.36 | +0.84 | +2.0 |
| Kashiwa Reysol | 4 | 1.78 | 1.20 | +0.58 | +0.9 |
| Kashima | 6 | 1.90 | 1.48 | +0.42 | −1.4 |
| Avispa Fukuoka | 5 | 1.43 | 1.35 | +0.08 | −0.2 |
| Vissel Kobe | 4 | 1.55 | 1.59 | −0.04 | +1.8 |
| V-varen Nagasaki | 6 | 1.27 | 1.36 | −0.09 | −0.6 |
| Fagiano Okayama | 5 | 1.48 | 1.59 | −0.11 | +1.6 |
| Urawa | 7 | 1.71 | 1.92 | −0.20 | +1.0 |
| Yokohama F. Marinos | 3 | 1.70 | 2.20 | −0.50 | −1.1 |
| JEF United Chiba | 6 | 1.33 | 1.91 | −0.58 | −2.0 |
| Gamba Osaka | 6 | 1.59 | 2.27 | −0.68 | −6.6 |
| Nagoya Grampus | 6 | 1.27 | 2.01 | −0.74 | −3.6 |
| Mito Hollyhock | 5 | 1.42 | 2.16 | −0.74 | −0.1 |
| Cerezo Osaka | 4 | 1.11 | 1.86 | −0.75 | −1.4 |
| Shimizu S-pulse | 5 | 1.46 | 2.22 | −0.75 | −4.3 |
| Tokyo Verdy | 4 | 0.90 | 1.82 | −0.91 | −1.6 |
| Kyoto Sanga | 5 | 1.40 | 2.59 | −1.19 | 0.0 |
Each club's last 30 J1 League matches in our dataset, newest first — current season included, sample size shown per club. Historical frequencies, not predictions; the model's per-match probabilities live on the BTTS and over/under 2.5 tips pages. Expected goals are per-game figures over each club's league matches this season that carry xG on both sides; "Goals − xG" is the season total. Provider-recorded statistics, sourced as documented on our data page; the model does not use xG yet.