J1 LeagueNoevir Stadium, Kobe16°0,8 mm18 km/h

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    Vissel KobeVissel KobeCounter-attacks & crosses
    vs
    Nagoya GrampusNagoya GrampusPossession control
    The model's lean: 1 · Vissel Kobe (56%)

    Vissel Kobe vs Nagoya Grampus · J1 League

    1 · Vissel Kobe 56%X 24%20% Nagoya Grampus · 2

    Prediction summary

    BetBuilders AI model prediction for Vissel Kobe vs Nagoya Grampus (J1 League, Saturday, 31 October 2026): Vissel Kobe win 56%, draw 24%, Nagoya Grampus win 20%. Expected goals (xG): Vissel Kobe 1.73, Nagoya Grampus 1.05. Most likely score: 1-1 (12%). Over 2.5 goals 53%, both teams to score 54%. Double chance: Vissel Kobe or draw 80%, Nagoya Grampus or draw 44%. Prediction updated Friday, 23 October 2026.

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    Analysis: Vissel Kobe – Nagoya Grampus

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

    1-1 is the model’s single most likely scoreline at 12%, yet the match shape still points towards Vissel Kobe. The hosts carry a 56% win probability against Nagoya Grampus’s 20%, with the draw at 24%. That tension matters: Kobe have the stronger overall case, but Nagoya’s possession control can keep a result tight long enough for the draw to remain live.

    The decisive question is whether Nagoya can turn possession into enough danger before Kobe strike in transition. Kobe’s counter-attacking and crossing profile matches well against a visiting side likely to have the ball, and the expected-goals split is telling: 1.73 to 1.05. The season indicators support the same direction. Kobe have 23 points to Nagoya’s 14, 19.3 xPoints to 13.7, and produce 1.7 xG per match compared with 1.3. Defensively, Kobe also concede only 1.2 xGA per match, against 1.3 for the visitors.

    The historical fixture record since 2023 leans hard towards the hosts: 3 wins, 3 draws and 0 losses in 6 meetings. Kobe dominate this matchup by 3 wins to 0 in those 6 meetings, although the draws show why backing a routine home stroll would be careless. The fixture has averaged 3.7 goals per meeting, but that history should not be confused with current attacking output. Kobe’s 57% home win rate across 60 home matches adds context, yet the present xG data is the stronger argument.

    Over 2.5 goals has a narrow 53% model lean, and both teams to score sits at 54%, so the goals angle is marginal rather than emphatic. My most likely scoreline is still 1-1, but the betting analysis points to a Kobe win, with 1-0 and 2-1 each rated at 10%. The sharpest angle is Vissel Kobe to win at 1.92 with Betsafe, LeoVegas or Nordicbet: the model’s 56% rating suggests an 8% edge, an assessment rather than a guarantee.

    Vissel KobeVissel Kobe
    Form WLWLD
    League ranking xG #4xGA #6xT #9xP/match #4Points #5
    Key players
    • Gotoku SakaiCMxG 0.06 · xT 0.14
    • Tetsushi YamakawaCBxG 0.14 · xT 0.04
    • Yuya OsakoFxG 0.54 · xT -0.01
    Nagoya GrampusNagoya Grampus
    Form LWWDD
    League ranking xG #10xGA #9xT #8xP/match #15Points #12
    Key players
    • Haruya FujiiCBxG 0.06 · xT 0.11
    • Sho InagakiCDMxG 0.13 · xT 0.11
    • Katsuhiro NakayamaLWxG 0.10 · xT 0.16

    Match prediction: Vissel Kobe – Nagoya Grampus

    Predicted score matrix

    Nagoya Grampus →
    Vissel Kobe →
    0
    1
    2
    3
    4+
    0
    0–06.5%
    0–16.2%
    0–23.4%
    0–31.2%
    0–4+0.4%
    1
    1–010.4%
    1–111.6%
    1–25.9%
    1–32.1%
    1–4+0.7%
    2
    2–09.3%
    2–19.8%
    2–25.1%
    2–31.8%
    2–4+0.6%
    3
    3–05.4%
    3–15.6%
    3–23.0%
    3–31.0%
    3–4+0.3%
    4+
    4+–03.4%
    4+–13.6%
    4+–21.9%
    4+–30.7%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-010%
    3. 3.2-110%
    4. 4.2-09%
    5. 5.0-07%
    Expected goals
    1,73–1,05
    Both teams to score
    54%

    Over/under goals

    Expected goals: 2,8
    Under 2,547%
    @2.08
    Over 2,553%
    @1.68

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Vissel Kobe to win56%
    • Over 1.5 goals77%

    Combined probability

    43%

    Fair odds

    2.35

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

    02 · 3 legs

    Balanced

    • Vissel Kobe to win56%
    • Over 2.5 goals53%
    • Yuya Osako to score40%

    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 score54%
    • Over 2.5 goals53%
    • Yuya Osako to score40%
    • Haruya Fujii 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+).

    • 1 · Vissel Kobe56% probability@1.92BetsafeEV+8%reference odds
    • 1 · Vissel Kobe56% probability@1.92LeoVegasEV+8%reference odds
    • 1 · Vissel Kobe56% probability@1.92NordicbetEV+8%reference odds
    Bookmaker1 · Vissel KobeX2 · Nagoya Grampus
    Betsafe
    EV+ 8%
    1.92
    3.403.60
    LeoVegas
    EV+ 8%
    1.92
    3.503.50
    Nordicbet
    EV+ 8%
    1.92
    3.403.60

    Odds updated 26 Oct, 14:36

    Odds movement

    1+4 %
    52 %47 %

    1.85 → 1.92

    X-3 %
    28 %23 %

    3.60 → 3.50

    2-4 %
    27 %22 %

    3.65 → 3.50

    Over 2,5-1 %
    58 %53 %

    1.68 → 1.67

    LeoVegas · 6 recorded price levels · 25/10/2026 → 26/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    6 matches
    Vissel Kobe 3Draw 3Nagoya Grampus 0
    Goals: 13–9 (⌀ 3,7)

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

    Key facts

    • Vissel Kobe dominate this fixture historically: 3 wins to 0 in 6 meetings.
    • A high-scoring fixture: 3.7 goals per meeting on average.
    • Vissel Kobe win 57% of their home matches all-time (60 played).
    xG & xGA per match — 3-game rolling average

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

    Vissel Kobe
    Nagoya Grampus
    When goals are scored and conceded — 2026
    Vissel Kobe (18–11)
    Nagoya Grampus (14–18)
    Pass networks

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

    Vissel Kobe
    Matheus Soares Thuler: 206 passningar, xT 0.41ThulerDiego Jara Rodrigues: 190 passningar, xT 0.64RodriguesYosuke Ideguchi: 147 passningar, xT 0.31IdeguchiGotoku Sakai: 138 passningar, xT 0.62SakaiTetsushi Yamakawa: 132 passningar, xT 0.2YamakawaShuichi Gonda: 115 passningar, xT 0.27GondaYoshinori Muto: 90 passningar, xT 0.82MutoYuya Osako: 80 passningar, xT -0.1OsakoKatsuya Nagato: 72 passningar, xT 0.65NagatoYuan Iwamoto: 67 passningar, xT 0.4IwamotoJoão Victor Andrade Caetano: 63 passningar, xT 0.21Caetano
    Nagoya Grampus
    Tomoki Takamine: 282 passningar, xT 0.88TakamineDaniel Schmidt: 254 passningar, xT 0.36SchmidtSho Inagaki: 247 passningar, xT 0.32InagakiTeruki Hara: 194 passningar, xT 0.37HaraHaruya Fujii: 189 passningar, xT 0.3FujiiTsukasa Morishima: 164 passningar, xT 0.25MorishimaRyuji Izumi: 152 passningar, xT 0.45IzumiTakuya Uchida: 127 passningar, xT 0.02UchidaYota Sato: 126 passningar, xT 0.18SatoShuhei Tokumoto: 79 passningar, xT 0.19TokumotoKatsuhiro Nakayama: 67 passningar, xT 0.86Nakayama
    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
    Matheus Soares Thuler: 206 passningar, xT 0.41ThulerDiego Jara Rodrigues: 190 passningar, xT 0.64RodriguesYosuke Ideguchi: 147 passningar, xT 0.31IdeguchiGotoku Sakai: 138 passningar, xT 0.62SakaiTetsushi Yamakawa: 132 passningar, xT 0.2YamakawaShuichi Gonda: 115 passningar, xT 0.27GondaYoshinori Muto: 90 passningar, xT 0.82MutoYuya Osako: 80 passningar, xT -0.1OsakoKatsuya Nagato: 72 passningar, xT 0.65NagatoYuan Iwamoto: 67 passningar, xT 0.4IwamotoJoão Victor Andrade Caetano: 63 passningar, xT 0.21Caetano
    Nagoya Grampus
    Tomoki Takamine: 282 passningar, xT 0.88TakamineDaniel Schmidt: 254 passningar, xT 0.36SchmidtSho Inagaki: 247 passningar, xT 0.32InagakiTeruki Hara: 194 passningar, xT 0.37HaraHaruya Fujii: 189 passningar, xT 0.3FujiiTsukasa Morishima: 164 passningar, xT 0.25MorishimaRyuji Izumi: 152 passningar, xT 0.45IzumiTakuya Uchida: 127 passningar, xT 0.02UchidaYota Sato: 126 passningar, xT 0.18SatoShuhei Tokumoto: 79 passningar, xT 0.19TokumotoKatsuhiro Nakayama: 67 passningar, xT 0.86Nakayama

    The teams in numbers

    PerformanceVissel KobeNagoya Grampus
    Points2314
    xPoints19.313.7
    xG per match1.71.3
    xGA per match1.21.3
    xG within 8s of winning the ball0.260.25
    xGA within 8s of losing the ball0.260.28
    Playing styleVissel KobeNagoya Grampus
    Build-up efficiency0.320.32
    Field tilt0.520.55
    xT per match1.11.1
    xTA per match1.10.92
    Won balls, offensive half3727
    Pressing intensity0.240.23
    Pressing efficiency0.310.3
    Pressing efficiency, offensive half0.290.29
    Entries into the box per match1515
    Entries into the box against1312
    Pass completion %0.710.8
    Pass completion % under pressure0.680.75
    Passes per match330443
    Passes against per match316327
    Switches of play per match23.932.6
    Long balls per match3838
    Set piecesVissel KobeNagoya Grampus
    xG from free kicks0.080.05
    Corners per match4.34.9
    Corners against per match4.63.8
    xG per corner0.030.05
    xGA per corner against0.010.01
    First touch, offensive corners %0.320.51
    First touch, defensive corners %0.710.56
    OtherVissel KobeNagoya Grampus
    Throw-in control0.760.76
    The goalkeepersShuichi Gonda (Vissel Kobe)Alexandre Pisano (Nagoya Grampus)
    Saves2519
    Save %81%68%
    xG prevented71%47%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Vissel Kobe vs Nagoya Grampus according to our model?

    The model gives Vissel Kobe a 56% win probability. Full 1X2 picture: Vissel Kobe 56%, draw 24%, Nagoya Grampus 20%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 12% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 53% and under at 47%.

    Will both teams score?

    The probability of both teams scoring is 54% according to the model.

    How many goals are expected in Vissel Kobe vs Nagoya Grampus?

    The model expects 1.73 goals (xG) for Vissel Kobe and 1.05 for Nagoya Grampus, 2.78 in total.

    What does the model say about double chance?

    Vissel Kobe or draw (1X) 80%, Nagoya Grampus or draw (X2) 44% and no draw (12) 76%.

    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.