J1 League20°0,1 mm19 km/h

    Läs på svenska
    Fagiano OkayamaFagiano OkayamaPossession & high press
    0–3
    Vissel KobeVissel KobeCounter-attacks & crosses
    The model's lean: 2 · Vissel Kobe (42%)

    Fagiano Okayama vs Vissel Kobe · J1 League

    1 · Fagiano Okayama 26%X 32%42% Vissel Kobe · 2

    Prediction summary

    Final score 0–3. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for Fagiano Okayama vs Vissel Kobe (J1 League, Sunday, 18 October 2026): Fagiano Okayama win 26%, draw 32%, Vissel Kobe win 42%. Expected goals (xG): Fagiano Okayama 0.98, Vissel Kobe 1.23. Most likely score: 1-1 (14%). Over 2.5 goals 38%, both teams to score 45%. Double chance: Fagiano Okayama or draw 58%, Vissel Kobe or draw 74%. Prediction updated Friday, 9 October 2026.

    Bet on this match

    NordicbetVälkommen in i matchen! Skapa ett konto, gör en insättning och hämta ett gratisspel värt 100 kr plus 50 freespins på Pirots 4.Claim the bonus at Nordicbet
    BetsafeHämta ett 100 kr gratisspel + 50 freespins på Pirots 4 när du gör din första insättning hos Betsafe!Claim the bonus at Betsafe
    LeoVegas100 % upp till 600 kr på sport vid första insättningenClaim the bonus at LeoVegas

    18+ · Gamble responsibly · stodlinjen.se · Affiliate links

    Analysis: Fagiano Okayama – Vissel Kobe

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

    A clash of contrasting playing styles will shape the narrative when Fagiano Okayama hosts Vissel Kobe. The hosts' preference for possession and high pressing sets the stage for an intriguing battle against the visitors' counter-attacking and crossing game. It's a tactical chess match with the potential to be determined by who can impose their style more effectively. The model tips the balance towards Kobe, who have shown a slight edge in multiple facets.

    Fagiano's 26% win probability and their xG per match of 1.0 suggest they may struggle to break down a well-organized Kobe defense. Meanwhile, the visitors, with a 42% chance of victory and a stronger xG per match of 1.6, are better positioned to capitalize on their chances. Despite Okayama’s slightly superior defensive metrics—0.89 xGA compared to Kobe’s 0.99—the overall numbers tilt in favor of the visiting team.

    Head-to-head statistics, though limited with only two matches since 2023, favor Kobe, who won both contests. While this sample size is small and less impactful than current form and expected goals, it does add another layer of confidence for Kobe. The model's most likely scorelines—1-1, 0-1, and 0-0—reinforce the view of a tight affair, with goals expected to be at a premium.

    For bettors, the standout angle lies in the total goals market. The probability of under 2.5 goals is 62%, providing value at odds of 1.7 with Betsafe, LeoVegas, and Nordicbet. With the style clash and historical data pointing towards a low-scoring game, under 2.5 goals offers a compelling opportunity to leverage the model's insights.

    Fagiano OkayamaFagiano Okayama
    Form WWWLL
    League ranking xG #17xGA #2xT #10xP/match #7Points #9
    Key players
    • Hiroshi OmoriCBxG 0.09 · xT 0.10
    • Oberdan Alionço de LimaCMxG 0.07 · xT 0.07
    • Soichiro MoriCBxG 0.01 · xT 0.07
    Vissel KobeVissel Kobe
    Form WWWWL
    League ranking xG #4xGA #3xT #8xP/match #4Points #5
    Key players
    • Gotoku SakaiCMxG 0.05 · xT 0.09
    • Matheus Soares ThulerCBxG 0.05 · xT 0.07
    • Yuya OsakoFxG 0.62 · xT 0.01
    Final score
    0 – 3
    The model called the outcome
    Predicted probabilities: Fagiano Okayama 26% · Draw 32% · Vissel Kobe 42%

    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 9,63fair 14,04-31 %
    Miss
    Matchresultat - Fagiano OkayamaBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 10,40fair 21,70-52 %
    Miss

    Match prediction: Fagiano Okayama – Vissel Kobe

    Predicted score matrix

    Vissel Kobe →
    Fagiano Okayama →
    0
    1
    2
    3
    4+
    0
    0–011.4%
    0–113.1%
    0–28.3%
    0–33.4%
    0–4+1.4%
    1
    1–010.4%
    1–113.6%
    1–28.1%
    1–33.3%
    1–4+1.3%
    2
    2–05.3%
    2–16.5%
    2–24.0%
    2–31.6%
    2–4+0.6%
    3
    3–01.7%
    3–12.1%
    3–21.3%
    3–30.5%
    3–4+0.2%
    4+
    4+–00.5%
    4+–10.6%
    4+–20.4%
    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. 2.0-113%
    3. 3.0-011%
    4. 4.1-010%
    5. 5.0-28%
    Expected goals
    0,98–1,23
    Both teams to score
    45%

    Over/under goals

    Expected goals: 2,2
    Under 2,562%
    @1.71EV+3%
    Over 2,538%
    @2.21

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Vissel Kobe or draw (X2)71%
    • Under 3.5 goals82%

    Combined probability

    58%

    Fair odds

    1.73

    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)71%
    • Under 2.5 goals62%
    • Yuta Goke 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 score45%
    • Over 2.5 goals38%
    • Yuta Goke to score28%
    • Eiji Miyamoto to be booked21%

    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+).

    • 2 · Vissel Kobe42% probability@2.54PinnacleEV+8%reference odds
    • 2 · Vissel Kobe42% probability@2.52BetsafeEV+7%reference odds
    • 2 · Vissel Kobe42% probability@2.52NordicbetEV+7%reference odds
    Bookmaker1 · Fagiano OkayamaX2 · Vissel Kobe
    Betsafe2.753.00
    EV+ 7%
    2.52
    LeoVegas2.753.10
    EV+ 6%
    2.50
    Nordicbet2.753.00
    EV+ 7%
    2.52
    Pinnacle2.95
    EV+ 5%
    3.29
    EV+ 8%
    2.54

    Odds updated 18 Oct, 08:16

    Odds movement

    10 %
    36 %31 %

    2.94 → 2.95

    X+2 %
    32 %27 %

    3.23 → 3.29

    2+2 %
    39 %34 %

    2.48 → 2.54

    Over 2,5+5 %
    47 %42 %

    2.11 → 2.21

    Pinnacle · 10 recorded price levels · 16/10/2026 → 18/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    2 matches
    Fagiano Okayama 0Draw 0Vissel Kobe 2
    Goals: 1–4 (⌀ 2,5)

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

    xG & xGA per match — 3-game rolling average

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

    Fagiano Okayama
    Vissel Kobe
    When goals are scored and conceded — 2026
    Fagiano Okayama (12–12)
    Vissel Kobe (14–9)
    Pass networks

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

    Fagiano Okayama
    Oberdan Alionço de Lima: 156 passningar, xT 0.01LimaHiroshi Omori: 149 passningar, xT 0.41OmoriYugo Tatsuta: 137 passningar, xT 0.27TatsutaEiji Miyamoto: 108 passningar, xT 0.38MiyamotoSoichiro Mori: 91 passningar, xT 0.18MoriKosuke Shirai: 87 passningar, xT 0.23ShiraiAtaru Esaka: 80 passningar, xT 0.27EsakaLennart Franklin Moser: 66 passningar, xT 0.1MoserHaruka Motoyama: 63 passningar, xT 0.83MotoyamaTowa Yamane: 60 passningar, xT 0.13YamaneYoshitake Suzuki: 57 passningar, xT 0.19Suzuki
    Vissel Kobe
    Matheus Soares Thuler: 200 passningar, xT 0.13ThulerGotoku Sakai: 187 passningar, xT 0.12SakaiDiego Jara Rodrigues: 187 passningar, xT 0.58RodriguesTetsushi Yamakawa: 182 passningar, xT 0.25YamakawaIssei Takahashi: 181 passningar, xT 0.41TakahashiYosuke Ideguchi: 156 passningar, xT 0.54IdeguchiShuichi Gonda: 99 passningar, xT 0.29GondaKatsuya Nagato: 94 passningar, xT 0.89NagatoYuya Osako: 82 passningar, xT 0.04OsakoYoshinori Muto: 63 passningar, xT 0.35MutoNanasei Iino: 53 passningar, xT 1.02Iino
    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.

    Fagiano Okayama
    Oberdan Alionço de Lima: 156 passningar, xT 0.01LimaHiroshi Omori: 149 passningar, xT 0.41OmoriYugo Tatsuta: 137 passningar, xT 0.27TatsutaEiji Miyamoto: 108 passningar, xT 0.38MiyamotoSoichiro Mori: 91 passningar, xT 0.18MoriKosuke Shirai: 87 passningar, xT 0.23ShiraiAtaru Esaka: 80 passningar, xT 0.27EsakaLennart Franklin Moser: 66 passningar, xT 0.1MoserHaruka Motoyama: 63 passningar, xT 0.83MotoyamaTowa Yamane: 60 passningar, xT 0.13YamaneYoshitake Suzuki: 57 passningar, xT 0.19Suzuki
    Vissel Kobe
    Matheus Soares Thuler: 200 passningar, xT 0.13ThulerGotoku Sakai: 187 passningar, xT 0.12SakaiDiego Jara Rodrigues: 187 passningar, xT 0.58RodriguesTetsushi Yamakawa: 182 passningar, xT 0.25YamakawaIssei Takahashi: 181 passningar, xT 0.41TakahashiYosuke Ideguchi: 156 passningar, xT 0.54IdeguchiShuichi Gonda: 99 passningar, xT 0.29GondaKatsuya Nagato: 94 passningar, xT 0.89NagatoYuya Osako: 82 passningar, xT 0.04OsakoYoshinori Muto: 63 passningar, xT 0.35MutoNanasei Iino: 53 passningar, xT 1.02Iino

    The teams in numbers

    PerformanceFagiano OkayamaVissel Kobe
    Points1319
    xPoints14.114.9
    xG per match11.6
    xGA per match0.890.99
    xG within 8s of winning the ball0.170.28
    xGA within 8s of losing the ball0.140.15
    Playing styleFagiano OkayamaVissel Kobe
    Build-up efficiency0.320.32
    Field tilt0.510.54
    xT per match0.991.1
    xTA per match0.730.98
    Won balls, offensive half2737
    Pressing intensity0.220.23
    Pressing efficiency0.290.31
    Pressing efficiency, offensive half0.270.28
    Entries into the box per match1315
    Entries into the box against912
    Pass completion %0.680.71
    Pass completion % under pressure0.660.68
    Passes per match272334
    Passes against per match381319
    Switches of play per match13.225.2
    Long balls per match2437
    Set piecesFagiano OkayamaVissel Kobe
    xG from free kicks0.010.07
    Corners per match5.83.7
    Corners against per match3.74.2
    xG per corner0.030.04
    xGA per corner against0.030.01
    First touch, offensive corners %0.360.39
    First touch, defensive corners %0.50.76
    OtherFagiano OkayamaVissel Kobe
    Throw-in control0.650.76
    The goalkeepersLennart Franklin Moser (Fagiano Okayama)Shuichi Gonda (Vissel Kobe)
    Saves1310
    Save %56%71%
    xG prevented39%68%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Fagiano Okayama vs Vissel Kobe according to our model?

    The model gives Vissel Kobe a 42% win probability. Full 1X2 picture: Fagiano Okayama 26%, draw 32%, Vissel Kobe 42%.

    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 38% and under at 62%.

    Will both teams score?

    The probability of both teams scoring is 45% according to the model.

    How many goals are expected in Fagiano Okayama vs Vissel Kobe?

    The model expects 0.98 goals (xG) for Fagiano Okayama and 1.23 for Vissel Kobe, 2.21 in total.

    What does the model say about double chance?

    Fagiano Okayama or draw (1X) 58%, Vissel Kobe or draw (X2) 74% and no draw (12) 68%.

    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.

    More matches in the league

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