Tokyo Verdy vs FC Tokyo Prediction
Japan · Regular Season - 10
AI Best Pick
Statistical forecasts for entertainment purposes only - not betting or financial advice.
Tokyo Verdy vs FC Tokyo: the result in context
FC Tokyo beat Tokyo Verdy 4-0 in the J1 League on 17 Oct 2026. It was in line with recent form: FC Tokyo had won 4 of their previous five, compared with 1 for Tokyo Verdy.
Their history points to a close game: 7 previous meetings produced 2.0 goals a game. Referee Atsushi Kamimura averages 3.26 cards a game, 0.57 more than other referees in the same competitions.
Match Forecasts
Corner forecasts not available for this match
Card forecasts not available for this match
Match Events
Lineups
Tokyo Verdy
Avg ratingAvg rating
1M. Vidotto
15K. Suzuki
4N. Hayashi
29M. Sako
40Y. Arai
19K. Fujimoto
2K. Shibato
8K. Saito
14Y. Fukuda
17K. Hyun-Woo
9I. Someno
81K. Seung-Gyu
22H. Ishihara
24A. Scholz
4H. Inamura
6K. Bangnagande
7S. Anzai
8T. Ko
20S. Nagano
33K. Tawaratsumida
9M. Ryan
26M. NagakuraTokyo Verdy Substitutes
FC Tokyo Substitutes
Match Stats
Tokyo VerdyFC Tokyo Team Comparison
Tokyo VerdyFC TokyoAI Insights
Game State Tendencies
Tokyo Verdy- Tied at half-time in 40% of matches
- Comeback tendency: recovers from HT deficit 50% of the time
- Scores more in 2nd half (1 vs 0.3 in first half)
- Concedes more in 2nd half - can tire late
FC Tokyo- Tied at half-time in 60% of matches
- Scores more in 2nd half (1.5 vs 0.5 in first half)
Head to Head
Last 7 meetings, all competitions
Tokyo Verdy0Wins · 0%2Wins · 29%Previous meetings
10/05/2026FC TokyoTokyo Verdy22/03/2026Tokyo VerdyFC Tokyo15/09/2025FC TokyoTokyo Verdy02/04/2025Tokyo VerdyFC Tokyo17/08/2024FC TokyoTokyo Verdy13/04/2024Tokyo VerdyFC Tokyo
12/07/2023FC TokyoTokyo VerdyRecent Form
Tokyo VerdyTokyo Verdy
Sanfrecce Hiroshima
Gainare TottoriTokyo Verdy
Sagan TosuTokyo Verdy
UrawaTokyo VerdyTokyo Verdy
JEF United Chiba
Biwako ShigaTokyo Verdy
Cerezo OsakaTokyo VerdyTokyo Verdy
Vissel KobeTokyo Verdy
KashimaTokyo Verdy
Thespakusatsu GunmaFC Tokyo
Mito HollyhockFC TokyoFC TokyoUrawaFC Tokyo
Shonan Bellmare
Ehime FCFC TokyoFC Tokyo
Nagoya Grampus
Gamba OsakaFC TokyoFC Tokyo
Kyoto Sanga
Shimizu S-pulseFC Tokyo
V-varen NagasakiFC TokyoFC Tokyo
Parceiro NaganoReferee 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
- Cerezo Osaka vs Yokohama F. Marinos 10/10/26
- FC Tokyo vs Urawa 10/10/26
- Tokyo Verdy vs Sanfrecce Hiroshima 11/10/26
- Kawasaki Frontale vs Nagoya Grampus 11/10/26
- Sanfrecce Hiroshima vs Kyoto Sanga 17/10/26
- Cerezo Osaka vs Kawasaki Frontale 17/10/26
- Kashima vs V-varen Nagasaki 17/10/26
- Kashiwa Reysol vs Nagoya Grampus 17/10/26
About the Tokyo Verdy vs FC Tokyo forecast
As a derby, this J1 League meeting carries extra weight; the forecasts take that context into account alongside team ratings, recent form and the head-to-head record.
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.
Tokyo Verdy and FC Tokyo in the J1 League table
The table shows a wide gap: FC Tokyo are 2nd in the J1 League, while Tokyo Verdy sit 18th, 19 points behind. League goal record so far: Tokyo Verdy 9-21, FC Tokyo 27-8. The full standings are on the J1 League Table 2027 page.
Key Factors for This Match
Some underlying data for this fixture is limited, which the model accounts for with a lower confidence rating.
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.