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J1 League

J1 League

Giappone  · Season 2027
2027 2026
Matchday 7 of 38 18%

League Table

20 Teams
# Team P W D L GF–GA GD Pts Form
1 Machida Zelvia 7 5 2 0 19–6 +13 17
P V V P V
2 Vissel Kobe 7 5 1 1 11–5 +6 16
V V V V S
3 Kashiwa Reysol 7 5 0 2 13–10 +3 15
V S S V V
4 Sanfrecce Hiroshima 7 4 2 1 19–6 +13 14
V S V P P
5 FC Tokyo 7 4 2 1 13–8 +5 14
V V P V V
6 Fagiano Okayama 7 4 1 2 10–8 +2 13
V V V S P
7 Kawasaki Frontale 7 3 3 1 13–9 +4 12
V V S V P
8 Kashima 7 4 0 3 14–13 +1 12
S S S V V
9 Yokohama F. Marinos 7 3 2 2 11–9 +2 11
P V P S V
10 Cerezo Osaka 7 3 1 3 6–11 -5 10
S P V S V
11 Mito Hollyhock 7 2 3 2 11–9 +2 9
S P V P V
12 Urawa 7 3 0 4 13–17 -4 9
S V V V S
13 Shimizu S-pulse 7 2 1 4 4–7 -3 7
V S P S S
14 V-varen Nagasaki 7 2 1 4 9–14 -5 7
V S P S S
15 Gamba Osaka 7 1 3 3 8–13 -5 6
S S P P S
16 Nagoya Grampus 7 2 0 5 7–13 -6 6
S S S V V
17 Kyoto Sanga 7 1 2 4 9–14 -5 5
S S P V S
18 Avispa Fukuoka 7 1 1 5 9–11 -2 4
S P S S S
19 Tokyo Verdy 7 0 4 3 3–9 -6 4
P P S S P
20 JEF United Chiba 7 1 1 5 6–16 -10 4
P V S S S
1 Sanfrecce Hiroshima 4 3 1 0 13–2 +11 10
V P V V
2 Vissel Kobe 4 3 1 0 8–4 +4 10
P V V V
3 Cerezo Osaka 4 3 1 0 5–1 +4 10
V V V P
4 Kawasaki Frontale 3 2 1 0 9–5 +4 7
P V V
5 Machida Zelvia 3 2 1 0 6–3 +3 7
V V P
6 Fagiano Okayama 3 2 1 0 4–2 +2 7
V P V
7 V-varen Nagasaki 4 2 1 1 6–6 +0 7
V S P V
8 Kashiwa Reysol 3 2 0 1 6–5 +1 6
V V S
9 Kashima 3 2 0 1 5–4 +1 6
V V S
10 Nagoya Grampus 4 2 0 2 6–6 +0 6
S V V S
11 FC Tokyo 3 2 0 1 5–5 +0 6
S V V
12 Mito Hollyhock 4 1 2 1 6–5 +1 5
P P V S
13 Avispa Fukuoka 4 1 1 2 6–5 +1 4
S V S P
14 Yokohama F. Marinos 3 1 1 1 5–5 +0 4
S V P
15 Gamba Osaka 3 1 1 1 4–5 -1 4
V P S
16 Shimizu S-pulse 4 1 1 2 2–3 -1 4
S S P V
17 Kyoto Sanga 3 1 0 2 5–7 -2 3
S V S
18 Urawa 3 1 0 2 5–8 -3 3
S V S
19 JEF United Chiba 3 1 0 2 3–6 -3 3
S S V
20 Tokyo Verdy 5 0 2 3 3–9 -6 2
P S S S P
1 Machida Zelvia 4 3 1 0 13–3 +10 10
V V P V
2 Kashiwa Reysol 4 3 0 1 7–5 +2 9
V V S V
3 FC Tokyo 4 2 2 0 8–3 +5 8
P V P V
4 Yokohama F. Marinos 4 2 1 1 6–4 +2 7
V S V P
5 Vissel Kobe 3 2 0 1 3–1 +2 6
V S V
6 Kashima 4 2 0 2 9–9 +0 6
V V S S
7 Fagiano Okayama 4 2 0 2 6–6 +0 6
S S V V
8 Urawa 4 2 0 2 8–9 -1 6
S S V V
9 Kawasaki Frontale 4 1 2 1 4–4 +0 5
P P S V
10 Sanfrecce Hiroshima 3 1 1 1 6–4 +2 4
V P S
11 Mito Hollyhock 3 1 1 1 5–4 +1 4
S V P
12 Shimizu S-pulse 3 1 0 2 2–4 -2 3
V S S
13 Tokyo Verdy 2 0 2 0 0–0 +0 2
P P
14 Kyoto Sanga 4 0 2 2 4–7 -3 2
S P P S
15 Gamba Osaka 4 0 2 2 4–8 -4 2
P S P S
16 JEF United Chiba 4 0 1 3 3–10 -7 1
S S S P
17 Avispa Fukuoka 3 0 0 3 3–6 -3 0
S S S
18 V-varen Nagasaki 3 0 0 3 3–8 -5 0
S S S
19 Nagoya Grampus 3 0 0 3 1–7 -6 0
S S S
20 Cerezo Osaka 3 0 0 3 1–10 -9 0
S S S

End of season projections

Monte Carlo simulation · 10,000 simulated seasons · updated 15 Sep 2026
Team Zone probability Projected Pts Schedule Trend
Machida Zelvia
79 (52–103)
pos. ~1.7°
C16 · T15
ELO 1497
·
Vissel Kobe
66 (39–93)
pos. ~4.9°
C15 · T16
ELO 1498
·
Kashiwa Reysol
61 (35–92)
pos. ~6.8°
C16 · T15
ELO 1504
·
Sanfrecce Hiroshima
74 (46–99)
pos. ~2.5°
C15 · T16
ELO 1499
·
FC Tokyo
64 (39–89)
pos. ~5.6°
C16 · T15
ELO 1499
·
Fagiano Okayama
60 (35–86)
pos. ~7.1°
C16 · T15
ELO 1501
·
Kawasaki Frontale
60 (32–87)
pos. ~7.0°
C16 · T15
ELO 1502
·
Kashima
60 (29–93)
pos. ~7.0°
C16 · T15
ELO 1499
·
Yokohama F. Marinos
60 (31–88)
pos. ~7.2°
C16 · T15
ELO 1497
·
Cerezo Osaka
49 (23–76)
pos. ~12.1°
C15 · T16
ELO 1499
·
Mito Hollyhock
53 (28–79)
pos. ~10.2°
C15 · T16
ELO 1500
·
Urawa
48 (23–76)
pos. ~12.4°
C16 · T15
ELO 1496
·
Shimizu S-pulse
43 (19–74)
pos. ~15.0°
C15 · T16
ELO 1500
·
V-varen Nagasaki
44 (18–71)
pos. ~14.4°
C15 · T16
ELO 1501
·
Gamba Osaka
44 (21–73)
pos. ~14.5°
C16 · T15
ELO 1502
·
Nagoya Grampus
41 (12–67)
pos. ~15.6°
C15 · T16
ELO 1497
·
Kyoto Sanga
42 (17–68)
pos. ~15.4°
C16 · T15
ELO 1503
·
Avispa Fukuoka
43 (18–73)
pos. ~14.7°
C15 · T16
ELO 1502
·
Tokyo Verdy
35 (14–62)
pos. ~17.7°
C14 · T17
ELO 1500
·
JEF United Chiba
33 (11–60)
pos. ~18.3°
C16 · T15
ELO 1500
·
% = probability of reaching that zone or better. Each sparkline shows the trend of the most relevant probability for each team over the last 12 daily simulations.

Player statistics

⚽ Top scorers
1 Léo Ceará
Léo Ceará
Kashima
8
2 K. Tanimura
K. Tanimura
Yokohama F. Marinos
5
3 A. Watanabe
A. Watanabe
Mito Hollyhock
5
4 M. Nagakura
M. Nagakura
FC Tokyo
4
5 Marcinho
Marcinho
Kawasaki Frontale
4
6 A. Suzuki
A. Suzuki
Sanfrecce Hiroshima
4
7 Rafael Elias
Rafael Elias
Kyoto Sanga
3
8 S. Haller
S. Haller
Sanfrecce Hiroshima
3
9 Marcelo Ryan
Marcelo Ryan
FC Tokyo
3
10 S. Morooka
S. Morooka
Avispa Fukuoka
3
👟 Assists
1 T. Kaneko
T. Kaneko
Urawa
4
2 Y. Soma
Y. Soma
Machida Zelvia
3
3 R. Watanabe
R. Watanabe
Urawa
3
4 Derik Lacerda
Derik Lacerda
Kawasaki Frontale
3
5 N. Nakagawa
N. Nakagawa
Kashiwa Reysol
3
6 M. Nagakura
M. Nagakura
FC Tokyo
2
7 Rafael Elias
Rafael Elias
Kyoto Sanga
2
8 Y. Wakizaka
Y. Wakizaka
Kawasaki Frontale
2
9 Y. Torikai
Y. Torikai
Mito Hollyhock
2
10 M. Duke
M. Duke
Machida Zelvia
2
🟨 Yellow cards
1 K. Maeda
K. Maeda
Avispa Fukuoka
3
2 E. Miyamoto
E. Miyamoto
Fagiano Okayama
3
3 Weverton
Weverton
Kyoto Sanga
3
4 Erison
Erison
JEF United Chiba
3
5 Oh Se-Hun
Oh Se-Hun
Shimizu S-pulse
2
6 Y. Nakajima
Y. Nakajima
Sanfrecce Hiroshima
2
7 Y. Goke
Y. Goke
Vissel Kobe
2
8 T. Tsukui
T. Tsukui
JEF United Chiba
2
9 T. Ito
T. Ito
Kawasaki Frontale
2
10 Y. Suzuki
Y. Suzuki
Kashima
2
🟥 Red cards
1 T. Kishimoto
T. Kishimoto
Gamba Osaka
1
2 S. Abe
S. Abe
Gamba Osaka
1
3 K. Hashimoto
K. Hashimoto
FC Tokyo
1
4 J. Sumiyoshi
J. Sumiyoshi
Shimizu S-pulse
1

Model & advanced data

Model calibration for this league
Probability band Sample Expected (mid) Actual Δ
50–60%% 10 55.00% 60.0% +5.00%
Based on 13 verified predictions · Δ ≤ 5% = excellent calibration
Frequently Asked Questions
What predictions are available for J1 League?
For J1 League, ForzaPitch provides 1X2 win probabilities, expected goals (xG), Over 1.5 and Over 2.5 signals and season projections for title, European qualification and relegation per team.
How accurate are predictions for J1 League?
Accuracy for J1 League is tracked match by match and shown on this page. The model is calibrated specifically for J1 League using per-league historical data.
How are J1 League season projections calculated?
Season projections use 10,000 Monte Carlo simulations of the remaining fixtures, sampling from match probability distributions to estimate title, Champions League, Europa League and relegation probabilities per team.