J1 LeagueNoevir Stadium, Kobe27°0,2 mm10 km/h

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    Vissel KobeVissel KobeCounter-attacks & crosses
    22
    FC TokyoFC TokyoBalanced & physical
    The model's lean: 1 · Vissel Kobe (41%)Best value by the model: Over 2,5 @ 2.22 (+2 %)

    Vissel KobeFC Tokyo · J1 League

    1 · Vissel Kobe 41%X 28%31% FC Tokyo · 2

    Analysis: Vissel KobeFC Tokyo

    Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work

    Vissel Kobe's home win rate of 56% across 55 matches paints a picture of a team that's formidable on its own turf. As they prepare to host FC Tokyo, the numbers reveal an intriguing contest shaped more by Kobe's defensive solidity than Tokyo's balanced yet physical approach. Kobe's expected goals against per match, 0.6, juxtaposed with Tokyo's concerning 2.3, underscores a significant defensive edge for the home side.

    Vissel Kobe, scoring an expected 1.2 goals per match versus FC Tokyo's 0.74, carries a slight but noticeable attacking advantage. This edge is accentuated by their defensive prowess, making it likely that they will stymie Tokyo's efforts in front of goal. Moreover, with an expected goals tally of 1.37 against Tokyo's 1.14, the home side emerges with a slight edge. The model, reflecting these dynamics, gives Kobe a 41% chance of victory, against Tokyo's 31%.

    However, the head-to-head record since 2023, with both teams winning twice and drawing twice over six matches, presents a more balanced narrative. Given the small sample size, these results weigh less heavily than the current form and expected goals metrics, which distinctly favor Kobe. Still, a 1-1 draw—deemed the most likely scoreline at 13%—looms as a real possibility, suggesting a cagier affair.

    With over 2.5 goals projected at just 46%, this match leans toward a tighter, low-scoring encounter. The slight edge in expected goals and model probabilities makes a Kobe win a tempting consideration. Yet, the sharpest betting angle offers a different perspective: the value (EV+) lies with FC Tokyo at odds of 3.42 with Pinnacle. Despite the model’s preference for Kobe, this 6% edge presents an intriguing opportunity for the risk-tolerant punter.

    Vissel KobeVissel Kobe
    Form DDDLW
    League ranking xG #13xGA #3xT #13xP/match #9Points #8
    Key players
    • Daiju SasakiFxG 0.20 · xT 0.12
    • Yuya OsakoFxG 0.49 · xT 0.13
    • Takahiro OgiharaCMxG 0.02 · xT 0.11
    FC TokyoFC Tokyo
    Form WWDDL
    League ranking xG #17xGA #18xT #18xP/match #16Points #20
    Key players
    • Takahiro KoCDMxG 0.07 · xT 0.08
    • Kein SatoRWxG 0.03 · xT -0.06
    • Hayato InamuraCBxG 0.00 · xT -0.04
    Final score
    22
    The model missed the outcome
    Predicted probabilities: Vissel Kobe 41% · Draw 28% · FC Tokyo 31%

    How the bookmaker bet builders went

    The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.

    Matchresultat - Vissel KobeBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 8,31fair 10,55-21 %
    Miss
    Matchresultat - FC TokyoBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 11,81fair 15,07-22 %
    Miss

    Match prediction: Vissel KobeFC Tokyo

    Predicted score matrix

    FC Tokyo
    Vissel Kobe
    0
    1
    2
    3
    4+
    0
    0–08.5%
    0–18.9%
    0–25.3%
    0–32.0%
    0–4+0.7%
    1
    1–010.8%
    1–113.1%
    1–27.2%
    1–32.8%
    1–4+1.0%
    2
    2–07.6%
    2–18.7%
    2–25.0%
    2–31.9%
    2–4+0.7%
    3
    3–03.5%
    3–14.0%
    3–22.3%
    3–30.9%
    3–4+0.3%
    4+
    4+–01.6%
    4+–11.8%
    4+–21.0%
    4+–30.4%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.1-011%
    3. 3.0-19%
    4. 4.2-19%
    5. 5.0-08%
    Expected goals
    1,371,14
    Both teams to score
    51%

    Over/under goals

    Expected goals: 2,5
    Under 2,554%
    @1.70
    Over 2,546%
    @2.22EV+2%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Vissel Kobe or draw (1X)69%
    • Under 3.5 goals76%

    Combined probability

    52%

    Fair odds

    1.92

    Two legs pulling the same way — the probability is computed exactly from the score matrix, not multiplied.

    02 · 3 legs

    Balanced

    • Double chance Vissel Kobe or draw (1X)69%
    • Under 2.5 goals54%
    • Yuya Osako to score28%

    Combined probability

    Fair odds

    The whole slip is priced jointly via 20,000 simulated matches — the scorer interacts with result and total goals, never naive multiplication.

    03 · 4 legs

    Bold

    • Both teams to score51%
    • Over 2.5 goals46%
    • Yuya Osako to score28%
    • Takahiro Ko to be booked22%

    Combined probability

    Fair odds

    The goal-fest: both teams score with at least three goals, plus the match's most likely scorer and card candidate — all priced jointly via 20,000 simulated matches.

    Odds & value

    The model's value spots

    Bets where the model's probability beats what the odds imply (EV+).

    • Over 2.546% probability@2.22PinnacleEV+2%reference odds
    • 2 · FC Tokyo31% probability@3.23PinnacleEV+0%reference odds
    Bookmaker1 · Vissel KobeX2 · FC Tokyo
    Betsafe2.203.103.15
    Betsson2.203.103.15
    Nordicbet2.203.103.15
    Pinnacle2.373.28
    EV+ 0%
    3.23

    Odds updated 15 Aug, 10:19

    Odds movement

    1+2 %
    45 %40 %

    2.332.37

    X+1 %
    32 %27 %

    3.253.28

    2+2 %
    31 %26 %

    3.163.23

    Over 2,5+6 %
    47 %42 %

    2.102.22

    Pinnacle · 13 recorded price levels · 08/08/2026 → 15/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    6 matches
    Vissel Kobe 2Draw 2FC Tokyo 2
    Goals: 78 (⌀ 2,5)

    Head-to-head based on J1 League data since 2023.

    Key facts

    • Vissel Kobe win 56% of their home matches all-time (55 played).
    xG & xGA per match — 3-game rolling average

    Solid line = created (xG), dashed = conceded (xGA).

    Vissel Kobe
    FC Tokyo
    When goals are scored and conceded 2026
    Vissel Kobe (10)
    FC Tokyo (15)
    Pass networks

    Last 5 matches. Circle size = pass volume, line width = combinations between players. Attacking left to right.

    Vissel Kobe
    Gotoku Sakai: 52 passningar, xT 0.1SakaiDiego Jara Rodrigues: 41 passningar, xT 0.18RodriguesMatheus Soares Thuler: 35 passningar, xT 0.18ThulerTetsushi Yamakawa: 35 passningar, xT -0.03YamakawaYoshinori Muto: 26 passningar, xT 0.33MutoYosuke Ideguchi: 26 passningar, xT 0.07IdeguchiKatsuya Nagato: 19 passningar, xT -0.01NagatoYuya Osako: 18 passningar, xT -0.01OsakoYuya Kuwasaki: 17 passningar, xT -0.01KuwasakiShuichi Gonda: 16 passningar, xT 0.07GondaMitsuki Hidaka: 12 passningar, xT 0.03Hidaka
    FC Tokyo
    Alexander Scholz: 59 passningar, xT 0.07ScholzHayato Inamura: 48 passningar, xT -0.05InamuraTakahiro Ko: 37 passningar, xT 0KoSei Muroya: 35 passningar, xT 0.08MuroyaRio Omori: 31 passningar, xT 0.05OmoriHirokazu Ishihara: 23 passningar, xT 0.15IshiharaSeung-Gyu Kim: 21 passningar, xT 0.03KimKein Sato: 20 passningar, xT -0.06SatoShion Homma: 14 passningar, xT 0HommaKento Hashimoto: 13 passningar, xT 0.01HashimotoKota Tawaratsumida: 11 passningar, xT 0.04Tawaratsumida
    xT networks

    The same network weighted by offensive threat (xT): circle size = threat created by the player, line width = threat of the combinations. Last 5 matches, attacking left to right.

    Vissel Kobe
    Gotoku Sakai: 52 passningar, xT 0.1SakaiDiego Jara Rodrigues: 41 passningar, xT 0.18RodriguesMatheus Soares Thuler: 35 passningar, xT 0.18ThulerTetsushi Yamakawa: 35 passningar, xT -0.03YamakawaYoshinori Muto: 26 passningar, xT 0.33MutoYosuke Ideguchi: 26 passningar, xT 0.07IdeguchiKatsuya Nagato: 19 passningar, xT -0.01NagatoYuya Osako: 18 passningar, xT -0.01OsakoYuya Kuwasaki: 17 passningar, xT -0.01KuwasakiShuichi Gonda: 16 passningar, xT 0.07GondaMitsuki Hidaka: 12 passningar, xT 0.03Hidaka
    FC Tokyo
    Alexander Scholz: 59 passningar, xT 0.07ScholzHayato Inamura: 48 passningar, xT -0.05InamuraTakahiro Ko: 37 passningar, xT 0KoSei Muroya: 35 passningar, xT 0.08MuroyaRio Omori: 31 passningar, xT 0.05OmoriHirokazu Ishihara: 23 passningar, xT 0.15IshiharaSeung-Gyu Kim: 21 passningar, xT 0.03KimKein Sato: 20 passningar, xT -0.06SatoShion Homma: 14 passningar, xT 0HommaKento Hashimoto: 13 passningar, xT 0.01HashimotoKota Tawaratsumida: 11 passningar, xT 0.04Tawaratsumida

    The teams in numbers

    PerformanceVissel KobeFC Tokyo
    Points30
    xPoints1.60.8
    xG per match1.20.74
    xGA per match0.62.3
    xG within 8s of winning the ball0.310.09
    xGA within 8s of losing the ball0.020.39
    Playing styleVissel KobeFC Tokyo
    Build-up efficiency0.320.29
    Field tilt0.60.32
    xT per match0.820.57
    xTA per match0.911.5
    Won balls, offensive half4025
    Pressing intensity0.250.23
    Pressing efficiency0.380.22
    Pressing efficiency, offensive half0.390.26
    Entries into the box per match1411
    Entries into the box against1117
    Pass completion %0.670.76
    Pass completion % under pressure0.660.66
    Passes per match318339
    Passes against per match263452
    Switches of play per match21.625.5
    Long balls per match3234
    Set piecesVissel KobeFC Tokyo
    xG from free kicks0.050
    Corners per match12
    Corners against per match3.14.9
    xG per corner00.01
    xGA per corner against0.010.14
    First touch, offensive corners %00
    First touch, defensive corners %10.6
    OtherVissel KobeFC Tokyo
    Throw-in control0.740.81
    The goalkeepersYosuke Ideguchi (Vissel Kobe)Seung-Gyu Kim (FC Tokyo)
    Saves24
    Save %100%44%
    xG prevented100%24%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Vissel Kobe vs FC Tokyo according to our model?

    The model gives Vissel Kobe a 41% win probability. Full 1X2 picture: Vissel Kobe 41%, draw 28%, FC Tokyo 31%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 13% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 46% and under at 54%.

    Will both teams score?

    The probability of both teams scoring is 51% according to the model.

    Why are some legs locked in the bet builder?

    The same rules as the bookmakers’ builders: legs that contradict or already follow from your slip cannot be combined — for example correct score 2–1 with under 2.5 goals. The difference is that we don’t look the rules up in a table; we compute them straight from the score matrix.

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    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.