Football · Japan J-League · 02/09, 12:00

Prediction: Tokyo Verdy vs Vissel Kobe

Team pages: Tokyo Verdy · Vissel Kobe

Prediction summary
Expected goals
2.3Total
Tokyo Verdy1.06
Vissel Kobe1.24
1X2
30% 31% 39%
Tokyo Verdy Draw Vissel Kobe
Markets
Under 2.5 goals 60% Both teams to score 51%
Most likely score
1-1 15%
Recent form · 10 last
Tokyo Verdy 2-3-5 (W-D-L)
WLLDWLDLDL
Vissel Kobe 4-3-3 (W-D-L)
LDLWDWWDLW
Head-to-head
Tokyo Verdy 1–1–2 Vissel Kobe (4 last)
  • Vissel Kobe4-0Tokyo Verdy
  • Tokyo Verdy0-1Vissel Kobe
  • Tokyo Verdy1-1Vissel Kobe
  • Vissel Kobe0-1Tokyo Verdy
Model analysis
1st-half goalsUnder 1.5 · 53%model estimate

Match keys

  • Our model (Elo, opponent-adjusted) favours Vissel Kobe (rating 1454 vs 1535).
  • H2H favours Vissel Kobe: 2-1-1.
  • Cards-heavy: 4.8 🟨 combined avg.

Statistics · 10/10 matches analysed

F = for · A = against · HT = half-time · FT = full-time

Tokyo VerdyVissel Kobe
Goals for / against (FT)0.5 / 1.50.9 / 1.4
Goals for / against (HT)0.2 / 0.60.5 / 0.9
Half-time result (W/D/L)0/80/20%20/40/40%
Corners (HT / FT)1.3 / 3.81.8 / 4.3
Cards (🟨 / 🟥)2.2 / 02.6 / 0

Head-to-head (H2H) · Tokyo Verdy 112 Vissel Kobe

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DateHomeScoreAway
23/09/25
Japan J-League
Vissel Kobe4-0
HT 2-0
Tokyo Verdy
12/04/25
Japan J-League
Tokyo Verdy0-1
HT 0-0
Vissel Kobe
10/11/24
Japan J-League
Tokyo Verdy1-1
HT 0-1
Vissel Kobe
26/05/24
Japan J-League
Vissel Kobe0-1
HT 0-0
Tokyo Verdy

Standings · Japan J-League

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#Team PWDL GFGAPts
1 Kashiwa Reysol 4400 10412
2 Kashima Antlers 4400 11612
3 Machida Zelvia 4310 13310
4 Sanfrecce Hiroshima 4220 828
5 FC Tokyo 4211 877
6 Vissel Kobe 4211 437
7 Kawasaki Frontale 4130 866
8 Nagoya Grampus 4202 656
9 Yokohama F-Marinos 4202 776
10 Cerezo Osaka 4202 356
11 Mito Hollyhock 4121 655
12 Gamba Osaka 4121 675
13 Fagiano Okayama 4112 344
14 Kyoto Sanga FC 4112 684
15 Avispa Fukuoka 4103 663
16 Shimizu S-Pulse 4103 133
17 Urawa Red Diamonds 4103 8133
18 V-Varen Nagasaki 4103 493
19 Tokyo Verdy 4022 262
20 JEF Utd Chiba 4004 2130

Common opponents 3 opponents

How each team fared against the same recent opponents

OpponentTokyo VerdyVissel Kobe
Fagiano Okayama 0-0 D 0-3 L
Yokohama F-Marinos 0-6 L 0-1 L
FC Tokyo 1-2 L 2-2 D
Record vs common 0 W 1 D 2 L 0 W 1 D 2 L

Better against common opponents: Vissel Kobe (2 of 3 head-to-heads won)

Last 10 matches played

The averages above come from these matches. W = win, D = draw, L = loss. Common opponents to both are in blue.

Tokyo Verdy

WLLDWLDLDL

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Date Opponent HT FT Cor.Cards Res.
29/08 Kashima Antlers
Japan J-League
0-1 0-2 54 L
22/08 Fagiano Okayama
Japan J-League
0-0 0-0 13 D
14/08 Kashiwa Reysol
Japan J-League
1-1 1-3 33 L
09/08 Kawasaki Frontale
Japan J-League
0-0 1-1 41 D
24/05 Yokohama F-Marinos
Japan J-League
0-3 0-6 62 L
16/05 Mito Hollyhock
Japan J-League
0-0 1-0 44 W
13/05 Machida Zelvia
Japan J-League
0-0 0-0 21 D
10/05 FC Tokyo
Japan J-League
1-1 1-2 43 L
06/05 Kawasaki Frontale
Japan J-League
0-0 0-1 60 L
03/05 Kashiwa Reysol
Japan J-League
0-0 1-0 31 W

Vissel Kobe

LDLWDWWDLW

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Date Opponent HT FT Cor.Cards Res.
29/08 Cerezo Osaka
Japan J-League
0-0 1-0 43 W
22/08 Yokohama F-Marinos
Japan J-League
0-1 0-1 26 L
15/08 FC Tokyo
Japan J-League
1-1 2-2 70 D
08/08 Avispa Fukuoka
Japan J-League
1-0 1-0 13 W
23/05 Avispa Fukuoka
Japan J-League
1-0 1-0 13 W
17/05 V-Varen Nagasaki
Japan J-League
2-2 2-2 33 D
13/05 Kyoto Sanga FC
Japan J-League
0-0 1-0 102 W
10/05 Fagiano Okayama
Japan J-League
0-2 0-3 81 L
06/05 Sanfrecce Hiroshima
Japan J-League
0-1 1-1 14 D
02/05 Gamba Osaka
Japan J-League
0-2 0-5 61 L

Frequently asked questions

Who is the favourite in Tokyo Verdy vs Vissel Kobe?

According to our model, the most likely result is an Vissel Kobe win (39%). Probabilities: Tokyo Verdy 30%, draw 31%, Vissel Kobe 39%.

How many goals are expected in Tokyo Verdy vs Vissel Kobe?

The model expects 2.3 goals (Tokyo Verdy 1.06 · Vissel Kobe 1.24), with a 52% chance of over 2 goals.

Will both teams score in Tokyo Verdy vs Vissel Kobe?

The model gives a 51% chance that both teams score.

What is the most likely score?

The most likely score according to our model is 1-1.