Kashima vs Kashiwa Reysol Prediction
Japan · Regular Season - 12
AI Best Pick
Statistical forecasts for entertainment purposes only - not betting or financial advice.
Kashima vs Kashiwa Reysol: the result in context
Kashiwa Reysol beat Kashima 3-2 in the J1 League on 24 Oct 2026. The two went into the match with similar recent form.
Kashima have had the better of this fixture, winning 6 of the 10 previous meetings, which averaged 2.1 goals a game. Referee Atsushi Kamimura averages 3.26 cards a game, 0.57 more than other referees in the same competitions.
Match Forecasts
Match Events
Lineups
Kashima
Avg ratingAvg rating
1T. Hayakawa
23K. Tsukui
55N. Ueda
3K. Tae-Hyeon
7R. Ogawa
27Y. Matsumura
10G. Shibasaki
6K. Misao
24H. Hayashu
34H. Tokuda
40Y. Suzuki
29K. Nagai
42W. Harada
4T. Koga
26D. Sugioka
39N. Nakagawa
28S. Toshima
5K. Endo
8Y. Koizumi
87H. Yamauchi
18Y. KakitaKashima Substitutes
Kashiwa Reysol Substitutes
Match Stats
KashimaKashiwa Reysol Team Comparison
KashimaKashiwa ReysolAI Insights
Game State Tendencies
Kashima- Comeback tendency: recovers from HT deficit 50% of the time
- Concedes more in 1st half - tightens up after the break
Kashiwa Reysol- Leads at half-time in 60% of matches
- Starts fast - scores more in 1st half (1.7 vs 0.7 in second half)
- Concedes more in 2nd half - can tire late
Head to Head
Last 10 meetings, all competitions
Kashima6Wins · 60%1Wins · 10%Previous meetings
24/04/2026Kashiwa ReysolKashima21/02/2026KashimaKashiwa Reysol20/07/2025KashimaKashiwa Reysol08/03/2025Kashiwa ReysolKashima21/09/2024KashimaKashiwa Reysol06/05/2024Kashiwa ReysolKashima11/11/2023KashimaKashiwa Reysol
24/05/2023KashimaKashiwa Reysol09/04/2023Kashiwa ReysolKashima08/03/2023Kashiwa ReysolKashimaRecent Form
Kashima
Kyoto SangaKashimaKashima
V-varen Nagasaki
Công An Nhân DânKashimaKashima
Gamba OsakaKashima
Ventforet Kofu
Kawasaki FrontaleKashimaKashima
Newcastle Jets
Vissel KobeKashimaKashima
Urawa
Mito HollyhockKashimaKashiwa Reysol
FC TokyoKashiwa ReysolKashiwa Reysol
Nagoya GrampusKashiwa Reysol
Port FCKashiwa ReysolVissel KobeKashiwa ReysolGamba OsakaKashiwa Reysol
Imabari
Machida ZelviaKashiwa Reysol
Jeonbuk MotorsKashiwa ReysolKyoto SangaKashiwa ReysolKashiwa Reysol
Yokohama F. MarinosReferee Profile
Compared with other referees
3.26 cards a match, 0.57 more than other referees in the same competitions and seasons (2.69).
Cards come from 23 matches with official statistics.
Full referee statsLeague Table
| # | Team | MP | W | D | L | G | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Machida Zelvia | 12 | 8 | 3 | 1 | 30:10 | +20 | 27 | DWWWL |
| 2 | FC Tokyo | 12 | 8 | 3 | 1 | 27:8 | +19 | 27 | WDWWW |
| 3 |  Sanfrecce Hiroshima | 12 | 8 | 2 | 2 | 29:10 | +19 | 26 | WLWWW |
| 4 | Kashiwa Reysol | 12 | 8 | 1 | 3 | 25:19 | +6 | 25 | WDLWW |
| 5 | Vissel Kobe | 12 | 7 | 2 | 3 | 18:11 | +7 | 23 | DLWLW |
| 6 | Kawasaki Frontale | 12 | 6 | 4 | 2 | 25:18 | +7 | 22 | WWWLD |
| 7 | Urawa | 12 | 7 | 0 | 5 | 21:23 | -2 | 21 | WWWLW |
| 8 | Kashima | 12 | 6 | 2 | 4 | 25:21 | +4 | 20 | LDWWD |
| 9 | Yokohama F. Marinos | 12 | 4 | 6 | 2 | 16:12 | +4 | 18 | DDDDW |
| 10 |  Fagiano Okayama | 12 | 5 | 1 | 6 | 15:17 | -2 | 16 | LWLLL |
| 11 | Nagoya Grampus | 12 | 4 | 2 | 6 | 14:18 | -4 | 14 | DDWWL |
| 12 |  Cerezo Osaka | 12 | 3 | 5 | 4 | 12:19 | -7 | 14 | DDLDD |
| 13 |  Shimizu S-pulse | 12 | 4 | 2 | 6 | 10:20 | -10 | 14 | LLDWW |
| 14 | V-varen Nagasaki | 12 | 3 | 3 | 6 | 15:19 | -4 | 12 | LWLDD |
| 15 | Gamba Osaka | 12 | 2 | 5 | 5 | 14:21 | -7 | 11 | DWDLL |
| 16 | Kyoto Sanga | 12 | 2 | 4 | 6 | 15:23 | -8 | 10 | DDLLW |
| 17 | Mito Hollyhock | 12 | 2 | 3 | 7 | 12:22 | -10 | 9 | LLLLL |
| 18 |  Tokyo Verdy | 12 | 1 | 5 | 6 | 9:21 | -12 | 8 | WDLLL |
| 19 |  Avispa Fukuoka | 12 | 2 | 1 | 9 | 13:21 | -8 | 7 | LLLWL |
| 20 |  JEF United Chiba | 12 | 1 | 4 | 7 | 12:24 | -12 | 7 | DLDDL |
| # | Team | MP | G | Pts |
|---|---|---|---|---|
| 1 | Machida Zelvia | 12 | 30:10 | 27 |
| 2 | FC Tokyo | 12 | 27:8 | 27 |
| 3 | Sanfrecce Hiroshima | 12 | 29:10 | 26 |
| 4 | Kashiwa Reysol | 12 | 25:19 | 25 |
| 5 | Vissel Kobe | 12 | 18:11 | 23 |
| 6 | Kawasaki Frontale | 12 | 25:18 | 22 |
| 7 | Urawa | 12 | 21:23 | 21 |
| 8 | Kashima | 12 | 25:21 | 20 |
| 9 | Yokohama F. Marinos | 12 | 16:12 | 18 |
| 10 | Fagiano Okayama | 12 | 15:17 | 16 |
| 11 | Nagoya Grampus | 12 | 14:18 | 14 |
| 12 | Cerezo Osaka | 12 | 12:19 | 14 |
| 13 | Shimizu S-pulse | 12 | 10:20 | 14 |
| 14 | V-varen Nagasaki | 12 | 15:19 | 12 |
| 15 | Gamba Osaka | 12 | 14:21 | 11 |
| 16 | Kyoto Sanga | 12 | 15:23 | 10 |
| 17 | Mito Hollyhock | 12 | 12:22 | 9 |
| 18 | Tokyo Verdy | 12 | 9:21 | 8 |
| 19 | Avispa Fukuoka | 12 | 13:21 | 7 |
| 20 | JEF United Chiba | 12 | 12:24 | 7 |
Explore more predictions
This match
More J1 League matches
- V-varen Nagasaki vs Sanfrecce Hiroshima 21/10/26
- Yokohama F. Marinos vs Tokyo Verdy 21/10/26
- Urawa vs JEF United Chiba 21/10/26
- Sanfrecce Hiroshima vs Shimizu S-pulse 24/10/26
- Tokyo Verdy vs Avispa Fukuoka 24/10/26
- Gamba Osaka vs Kyoto Sanga 24/10/26
- Nagoya Grampus vs Yokohama F. Marinos 25/10/26
- Cerezo Osaka vs JEF United Chiba 25/10/26
About the Kashima vs Kashiwa Reysol 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 Kashiwa Reysol in the J1 League table
In the J1 League table, Kashiwa Reysol are 4th and Kashima 8th, 5 points apart. League goal record so far: Kashima 25-21, Kashiwa Reysol 25-19. The full standings are on the J1 League Table 2027 page.
Key Factors for This Match
Kashiwa Reysol have led at half-time in 60% of their recent matches. 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.