J1 LeagueNissan Stadium, Yokohama27°1,9 mm8 km/h

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    Yokohama F. MarinosYokohama F. MarinosLow block & direct
    vs
    Vissel KobeVissel KobeCounter-attacks & crosses
    The model's lean: 2 · Vissel Kobe (41%)Best value by the model: X · Draw @ 3.44 (+7 %)

    Yokohama F. MarinosVissel Kobe · J1 League

    1 · Yokohama F. Marinos 28%X 31%41% Vissel Kobe · 2

    Analysis: Yokohama F. MarinosVissel Kobe

    Anna Karlsson · · A data-driven preview · How the predictions work

    Four wins to two in favor of Vissel Kobe over their last six meetings suggest a pattern that leans toward the visitors in this clash against Yokohama F. Marinos. This head-to-head record, while insightful, is a minor piece of a broader puzzle, especially considering the expected goals and model probabilities favor Kobe as well. The numbers suggest a close contest, with Vissel Kobe edging out slightly on expected goals and points.

    Yokohama F. Marinos' defense, characterized by a low defensive profile and direct play, faces a stern test against Vissel Kobe's tactical preference for counter-attacks and crosses. With Kobe posting a league-low expected goals against (xGA) of 0.94 per match, Yokohama's attack could struggle to find the net, particularly in wet conditions. A forecast of 4.7 mm of rain brings the likelihood of a lower-scoring affair, and the weather conditions are factored into the model's conservative goal expectations.

    Vissel Kobe, with a 41% probability of winning, are the model's favored side, although the draw, rated equally probable, could intrigue punters looking for value. Considering the most likely scorelines — 1-1, 0-1, and 0-0 — the model's lean towards a low-scoring match is evident. The under 2.5 goals market is particularly enticing, with Pinnacle offering odds of 1.763 and Betsafe slightly lower at 1.72, both representing a decent edge over the model-rated probability.

    The sharpest play here is the under 2.5 goals, especially with the weather acting as an extra defender against offensive flair. For those inclined to back a result, the draw at odds of 3.44 with Pinnacle offers a tidy 7% edge, suggesting a cagey, tactical contest where neither side fully asserts dominance.

    Yokohama F. MarinosYokohama F. Marinos
    Form WWLLW
    League ranking xG #13xGA #16xT #13xP/match #11Points #11
    Key players
    • Kei ChinenFxG 0.01 · xT 0.05
    • Tomoki KondoRWxG 0.05 · xT 0.33
    • Taisei InoueRBxG 0.02 · xT 0.06
    Vissel KobeVissel Kobe
    Form DDLWD
    League ranking xG #5xGA #6xT #8xP/match #8Points #6
    Key players
    • Yuya OsakoFxG 1.03 · xT -0.12
    • Yoshinori MutoRWxG 0.06 · xT 0.26
    • Katsuya NagatoFxG 0.02 · xT 0.00

    Match prediction: Yokohama F. MarinosVissel Kobe

    Predicted score matrix

    Vissel Kobe
    Yokohama F. Marinos
    0
    1
    2
    3
    4+
    0
    0–010.7%
    0–112.0%
    0–27.4%
    0–33.0%
    0–4+1.2%
    1
    1–010.7%
    1–113.7%
    1–28.0%
    1–33.2%
    1–4+1.2%
    2
    2–05.9%
    2–17.1%
    2–24.3%
    2–31.7%
    2–4+0.7%
    3
    3–02.1%
    3–12.5%
    3–21.5%
    3–30.6%
    3–4+0.2%
    4+
    4+–00.7%
    4+–10.9%
    4+–20.5%
    4+–30.2%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-114%
    2. 2.0-112%
    3. 3.0-011%
    4. 4.1-011%
    5. 5.1-28%
    Expected goals
    1,071,20
    Both teams to score
    46%

    Over/under goals

    Expected goals: 2,3
    Under 2,560%
    @1.76EV+4%
    Over 2,540%
    @2.07

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Vissel Kobe or draw (X2)68%
    • Under 3.5 goals80%

    Combined probability

    55%

    Fair odds

    1.83

    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 (X2)68%
    • Under 2.5 goals60%
    • Yuya Osako to score26%

    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 score46%
    • Over 2.5 goals40%
    • Yuya Osako to score26%
    • Yuya Kuwasaki to be booked23%

    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+).

    • X · Draw31% probability@3.44PinnacleEV+7%reference odds
    • Under 2.560% probability@1.76PinnacleEV+6%reference odds
    • Under 2.560% probability@1.72BetsafeEV+4%reference odds
    Bookmaker1 · Yokohama F. MarinosX2 · Vissel Kobe
    Betsafe3.403.202.05
    Betsson3.403.202.05
    Nordicbet3.403.202.05
    Pinnacle3.49
    EV+ 7%
    3.44
    2.09

    Odds updated 16 Aug, 04:36

    Statistics

    Head-to-head

    6 matches
    Yokohama F. Marinos 2Draw 0Vissel Kobe 4
    Goals: 710 (⌀ 2,8)

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

    Key facts

    • Vissel Kobe dominate this fixture historically: 4 wins to 2 in 6 meetings.
    xG & xGA per match — 3-game rolling average

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

    Yokohama F. Marinos
    Vissel Kobe
    When goals are scored and conceded 2026
    Yokohama F. Marinos (44)
    Vissel Kobe (32)
    Pass networks

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

    Yokohama F. Marinos
    Jeison Quinones: 75 passningar, xT -0.06QuinonesTaisei Inoue: 71 passningar, xT 0.12InoueKosei Suwama: 63 passningar, xT 0.07SuwamaRubén Blanco Veiga: 53 passningar, xT 0.04VeigaKosuke Matsumura: 52 passningar, xT 0.02MatsumuraKei Chinen: 51 passningar, xT 0.1ChinenJun Amano: 39 passningar, xT 0.61AmanoRyotaro Tsunoda: 33 passningar, xT 0.05TsunodaTomoki Kondo: 32 passningar, xT 0.53KondoShin Miidera: 17 passningar, xT 0.02MiideraKaina Tanimura: 14 passningar, xT -0.09Tanimura
    Vissel Kobe
    Matheus Soares Thuler: 101 passningar, xT 0.26ThulerTetsushi Yamakawa: 91 passningar, xT 0.07YamakawaGotoku Sakai: 82 passningar, xT 0.23SakaiDiego Jara Rodrigues: 77 passningar, xT 0.74RodriguesShuichi Gonda: 59 passningar, xT 0.22GondaYosuke Ideguchi: 49 passningar, xT 0.09IdeguchiYoshinori Muto: 47 passningar, xT 0.49MutoYuya Kuwasaki: 37 passningar, xT 0.05KuwasakiKatsuya Nagato: 33 passningar, xT -0.01NagatoYuya Osako: 31 passningar, xT -0.08OsakoMitsuki Hidaka: 26 passningar, xT 0.05Hidaka
    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.

    Yokohama F. Marinos
    Jeison Quinones: 75 passningar, xT -0.06QuinonesTaisei Inoue: 71 passningar, xT 0.12InoueKosei Suwama: 63 passningar, xT 0.07SuwamaRubén Blanco Veiga: 53 passningar, xT 0.04VeigaKosuke Matsumura: 52 passningar, xT 0.02MatsumuraKei Chinen: 51 passningar, xT 0.1ChinenJun Amano: 39 passningar, xT 0.61AmanoRyotaro Tsunoda: 33 passningar, xT 0.05TsunodaTomoki Kondo: 32 passningar, xT 0.53KondoShin Miidera: 17 passningar, xT 0.02MiideraKaina Tanimura: 14 passningar, xT -0.09Tanimura
    Vissel Kobe
    Matheus Soares Thuler: 101 passningar, xT 0.26ThulerTetsushi Yamakawa: 91 passningar, xT 0.07YamakawaGotoku Sakai: 82 passningar, xT 0.23SakaiDiego Jara Rodrigues: 77 passningar, xT 0.74RodriguesShuichi Gonda: 59 passningar, xT 0.22GondaYosuke Ideguchi: 49 passningar, xT 0.09IdeguchiYoshinori Muto: 47 passningar, xT 0.49MutoYuya Kuwasaki: 37 passningar, xT 0.05KuwasakiKatsuya Nagato: 33 passningar, xT -0.01NagatoYuya Osako: 31 passningar, xT -0.08OsakoMitsuki Hidaka: 26 passningar, xT 0.05Hidaka

    The teams in numbers

    PerformanceYokohama F. MarinosVissel Kobe
    Points34
    xPoints2.72.9
    xG per match1.21.5
    xGA per match1.70.94
    xG within 8s of winning the ball0.240.61
    xGA within 8s of losing the ball0.120.16
    Playing styleYokohama F. MarinosVissel Kobe
    Build-up efficiency0.30.32
    Field tilt0.480.59
    xT per match0.851.1
    xTA per match10.8
    Won balls, offensive half2336
    Pressing intensity0.220.25
    Pressing efficiency0.350.37
    Pressing efficiency, offensive half0.220.38
    Entries into the box per match920
    Entries into the box against1315
    Pass completion %0.680.72
    Pass completion % under pressure0.70.71
    Passes per match249349
    Passes against per match314255
    Switches of play per match16.326.8
    Long balls per match2436
    Set piecesYokohama F. MarinosVissel Kobe
    xG from free kicks00.08
    Corners per match2.44
    Corners against per match7.73.5
    xG per corner0.020.04
    xGA per corner against0.020.01
    First touch, offensive corners %0.40.5
    First touch, defensive corners %0.620.86
    OtherYokohama F. MarinosVissel Kobe
    Throw-in control0.630.81
    The goalkeepersRubén Blanco Veiga (Yokohama F. Marinos)Shuichi Gonda (Vissel Kobe)
    Saves64
    Save %60%67%
    xG prevented22%45%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Yokohama F. Marinos vs Vissel Kobe according to our model?

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

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 14% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 40% and under at 60%.

    Will both teams score?

    The probability of both teams scoring is 46% 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.