Kashima vs Nagoya Grampus Prediction
Japan · Regular Season - 2
AI Best Pick
Statistical forecasts for entertainment purposes only - not betting or financial advice.
Kashima vs Nagoya Grampus: the result in context
Kashima beat Nagoya Grampus 2-1 in the J1 League on 15 Aug 2026. It was in line with recent form: Kashima had won 4 of their previous five, compared with none for Nagoya Grampus.
Their history points to a close game: 10 previous meetings produced 1.7 goals a game. Referee Florian Exner averages 5.20 cards a game, 0.78 more than other referees in the same competitions.
Match Forecasts
Match Events
Lineups
Kashima
Avg ratingAvg rating
1T. Hayakawa
37R. Hirose
C55N. Ueda
5I. Sekigawa
7R. Ogawa
18Y. Matheus
6K. Misao
8M. Bueno
40Y. Suzuki
9L. Ceará
30M. Yoshida
35A. Pisano
70T. Hara
13H. Fujii
2Y. Nogami
7R. Izumi
C15S. Inagaki
31T. Takamine
27K. Nakayama
17T. Uchida
22Y. Kimura
11Y. YamagishiKashima Substitutes
Nagoya Grampus Substitutes
Match Stats
KashimaNagoya Grampus Team Comparison
KashimaNagoya GrampusAI Insights
Game State Tendencies
Kashima- Tied at half-time in 40% of matches
- Comeback tendency: recovers from HT deficit 50% of the time
- Scores more in 2nd half (1.3 vs 0.9 in first half)
- Concedes more in 1st half - tightens up after the break
Nagoya Grampus- Comeback tendency: recovers from HT deficit 100% of the time
Head to Head
Last 10 meetings, all competitions
Kashima4Wins · 40%1Wins · 10%Previous meetings
27/09/2025Nagoya GrampusKashima25/04/2025KashimaNagoya Grampus09/11/2024KashimaNagoya Grampus23/02/2024Nagoya GrampusKashima
10/09/2023KashimaNagoya Grampus06/09/2023Nagoya GrampusKashima13/08/2023Nagoya GrampusKashima14/05/2023KashimaNagoya Grampus26/06/2022Nagoya GrampusKashima17/04/2022KashimaNagoya GrampusRecent Form
Kashima
Yokohama F. MarinosKashimaKashima
Vegalta SendaiKashima
Vissel KobeVissel KobeKashimaKashima
FC Tokyo
JEF United ChibaKashimaYokohama F. MarinosKashimaKashima
Mito HollyhockKashima
Machida Zelvia
Tokyo VerdyKashimaNagoya GrampusNagoya Grampus
Shimizu S-pulse
Consadole SapporoNagoya GrampusFC TokyoNagoya GrampusMachida ZelviaNagoya GrampusNagoya GrampusMachida Zelvia
Sanfrecce HiroshimaNagoya Grampus
Cerezo OsakaNagoya GrampusNagoya Grampus
Kyoto SangaNagoya Grampus
Gamba Osaka
V-varen NagasakiNagoya GrampusReferee Profile
Compared with other referees
5.20 cards a match, 0.78 more than other referees in the same competitions and seasons (4.42).
Cards come from 105 matches with official statistics.
Full referee statsLeague Table
| # | Team | MP | W | D | L | G | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|
| 1 | FC Tokyo | 14 | 10 | 3 | 1 | 33:8 | +25 | 33 | WWWDW |
| 2 |  Kashiwa Reysol | 14 | 10 | 1 | 3 | 31:20 | +11 | 31 | WWWDL |
| 3 | Sanfrecce Hiroshima | 14 | 9 | 3 | 2 | 32:10 | +22 | 30 | DWWLW |
| 4 | Machida Zelvia | 14 | 8 | 5 | 1 | 30:10 | +20 | 29 | DDDWW |
| 5 | Vissel Kobe | 14 | 8 | 3 | 3 | 23:14 | +9 | 27 | DWDLW |
| 6 | Kashima | 14 | 7 | 2 | 5 | 29:24 | +5 | 23 | LWLDW |
| 7 | Yokohama F. Marinos | 14 | 5 | 7 | 2 | 21:15 | +6 | 22 | DWDDD |
| 8 |  Kawasaki Frontale | 14 | 6 | 4 | 4 | 28:24 | +4 | 22 | LLWWW |
| 9 |  Urawa | 14 | 7 | 1 | 6 | 23:29 | -6 | 22 | DLWWW |
| 10 |  Fagiano Okayama | 14 | 5 | 2 | 7 | 16:22 | -6 | 17 | DLLWL |
| 11 | Cerezo Osaka | 14 | 4 | 5 | 5 | 16:25 | -9 | 17 | WLDDL |
| 12 | Kyoto Sanga | 14 | 4 | 4 | 6 | 19:23 | -4 | 16 | WWDDL |
| 13 | Nagoya Grampus | 14 | 4 | 2 | 8 | 15:23 | -8 | 14 | LLDDW |
| 14 | Tokyo Verdy | 14 | 3 | 5 | 6 | 12:22 | -10 | 14 | WWWDL |
| 15 | Shimizu S-pulse | 14 | 4 | 2 | 8 | 10:23 | -13 | 14 | LLLLD |
| 16 | V-varen Nagasaki | 14 | 3 | 4 | 7 | 17:22 | -5 | 13 | DLLWL |
| 17 | JEF United Chiba | 14 | 3 | 4 | 7 | 16:24 | -8 | 13 | WWDLD |
| 18 | Gamba Osaka | 14 | 2 | 6 | 6 | 16:24 | -8 | 12 | LDDWD |
| 19 | Mito Hollyhock | 14 | 2 | 3 | 9 | 12:26 | -14 | 9 | LLLLL |
| 20 |  Avispa Fukuoka | 14 | 2 | 2 | 10 | 14:25 | -11 | 8 | DLLLL |
| # | Team | MP | G | Pts |
|---|---|---|---|---|
| 1 | FC Tokyo | 14 | 33:8 | 33 |
| 2 | Kashiwa Reysol | 14 | 31:20 | 31 |
| 3 | Sanfrecce Hiroshima | 14 | 32:10 | 30 |
| 4 | Machida Zelvia | 14 | 30:10 | 29 |
| 5 | Vissel Kobe | 14 | 23:14 | 27 |
| 6 | Kashima | 14 | 29:24 | 23 |
| 7 | Yokohama F. Marinos | 14 | 21:15 | 22 |
| 8 | Kawasaki Frontale | 14 | 28:24 | 22 |
| 9 | Urawa | 14 | 23:29 | 22 |
| 10 | Fagiano Okayama | 14 | 16:22 | 17 |
| 11 | Cerezo Osaka | 14 | 16:25 | 17 |
| 12 | Kyoto Sanga | 14 | 19:23 | 16 |
| 13 | Nagoya Grampus | 14 | 15:23 | 14 |
| 14 | Tokyo Verdy | 14 | 12:22 | 14 |
| 15 | Shimizu S-pulse | 14 | 10:23 | 14 |
| 16 | V-varen Nagasaki | 14 | 17:22 | 13 |
| 17 | JEF United Chiba | 14 | 16:24 | 13 |
| 18 | Gamba Osaka | 14 | 16:24 | 12 |
| 19 | Mito Hollyhock | 14 | 12:26 | 9 |
| 20 | Avispa Fukuoka | 14 | 14:25 | 8 |
Explore more predictions
This match
More J1 League matches
- Sanfrecce Hiroshima vs JEF United Chiba 08/08/26
- Tokyo Verdy vs Kawasaki Frontale 09/08/26
- V-varen Nagasaki vs Kyoto Sanga 09/08/26
- Tokyo Verdy vs Kashiwa Reysol 14/08/26
- Mito Hollyhock vs Gamba Osaka 15/08/26
- Shimizu S-pulse vs Yokohama F. Marinos 15/08/26
- JEF United Chiba vs Machida Zelvia 15/08/26
- Kawasaki Frontale vs Kyoto Sanga 15/08/26
About the Kashima vs Nagoya Grampus forecast
The forecasts for this J1 League match are built from team Elo ratings, recent form, scoring data and the head-to-head record, and are updated as new data arrives before kickoff.
How to Read These Forecasts
Each percentage shows the model's calculated likelihood for that outcome. Above 65% indicates strong statistical confidence; 45-65% reflects a competitive, open match; below 45% suggests the outcome is statistically less likely. All figures are for informational and entertainment purposes only.
Kashima and Nagoya Grampus in the J1 League table
In the J1 League table, Kashima are 6th and Nagoya Grampus 13th, 9 points apart. League goal record so far: Kashima 29-24, Nagoya Grampus 15-23. The full standings are on the J1 League Table 2027 page.
Key Factors for This Match
This forecast is based on a complete recent-form dataset for both teams.
All forecasts are generated by statistical and machine learning models for informational and entertainment purposes only. They are not guaranteed and do not constitute financial or betting advice.