J1 LeagueBest Denki Stadium, Fukuoka31°1,5 mm20 km/hUpdated

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    Avispa FukuokaAvispa FukuokaLow block & direct
    vs
    The model's lean: 2 · Vissel Kobe (45%)
    Vissel KobeVissel KobeCounter-attacks & crosses

    Avispa FukuokaVissel Kobe · J1 League

    1 · Avispa Fukuoka 24%X 31%45% Vissel Kobe · 2
    Avispa FukuokaAvispa Fukuoka
    Form DWDWL
    League ranking xG #12xGA #8xT #9xP/match #9Points #12
    Key players
    • Wellington Luís de SousaFxG 0.38 · xT 0.08
    • Tomoya MikiCMxG 0.26 · xT 0.11
    • Kazuya KonnoRWxG 0.2 · xT 0.16
    Vissel KobeVissel Kobe
    Form DDDDL
    League ranking xG #5xGA #1xT #6xP/match #2Points #5
    Key players
    • Daiju SasakiFxG 0.2 · xT 0.12
    • Yuya OsakoFxG 0.49 · xT 0.13
    • Takahiro OgiharaCMxG 0.02 · xT 0.11

    Match prediction: Avispa FukuokaVissel Kobe

    Predicted score matrix

    Vissel Kobe
    Avispa Fukuoka
    0
    1
    2
    3
    4+
    0
    0–011.9%
    0–113.2%
    0–28.0%
    0–33.2%
    0–4+1.2%
    1
    1–010.9%
    1–113.7%
    1–27.9%
    1–33.1%
    1–4+1.2%
    2
    2–05.5%
    2–16.5%
    2–23.9%
    2–31.5%
    2–4+0.6%
    3
    3–01.8%
    3–12.1%
    3–21.3%
    3–30.5%
    3–4+0.2%
    4+
    4+–00.5%
    4+–10.6%
    4+–20.4%
    4+–30.1%
    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. 3.0-012%
    4. 4.1-011%
    5. 5.0-28%
    Expected goals
    0,981,18
    Both teams to score
    44%

    Over/under goals

    Expected goals: 2,2
    Under 2,563%
    Over 2,537%

    Odds & value

    The model's value spots

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

    • X · Draw31% probability@3.26PinnacleEV+1%
    Bookmaker1 · Avispa FukuokaX2 · Vissel Kobe
    Pinnacle3.91
    EV+ 1%
    3.26
    2.00

    Odds updated 4 Aug, 09:04

    Analysis: Avispa FukuokaVissel Kobe

    Marcus Johansson · · How the predictions work

    Four wins to one. That’s how decisively Vissel Kobe have bossed their recent encounters with Avispa Fukuoka. It’s a dominance mirrored by their current standing, as they sit proudly with 64 points to Avispa's 48. Even their expected points (xPoints) of 65.4 edge out Avispa’s 52.3, giving further weight to the visitors' supremacy. This isn’t just about numbers on a page; it’s a real reflection of how these squads currently measure up.

    Avispa Fukuoka, despite the odds and stats stacked against them, have a tendency to keep things tight. Their matches since 2023 have often been low-scoring, a pattern likely to continue here. With expected goals (xG) at 0.98 for Avispa and 1.18 for Vissel Kobe, it hints at a game of few chances and even fewer goals. The model projections suggest a 1-1 draw as the most likely outcome, but with only a 14% probability.

    Avispa Fukuoka could aim to disrupt Vissel Kobe’s rhythm with direct play, but Vissel’s efficient counter-attacking style and preference for crosses may pierce through Avispa's defences that have a tendency to sit low. Vissel Kobe’s xGA per match stands at a solid 0.89, highlighting their defensive resilience, compared to Avispa’s leaky 1.2.

    Vissel Kobe's calculated, cross-heavy approach should see them edge this tight affair, likely with a 1-0 victory, considering their historical advantage and slightly superior xG metrics. However, the astute punter might be tempted by the draw at odds of 3.26 with Pinnacle, slightly undervalued by the bookies but offering a tantalising edge. With under 2.5 goals looking likely, and both teams finding the net a mere 44% of the time, any goal might be precious.

    Statistics

    Head-to-head

    6 matches
    Avispa Fukuoka 1Draw 1Vissel Kobe 4
    Goals: 17 (⌀ 1,3)

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

    Key facts

    • Vissel Kobe dominate this fixture historically: 4 wins to 1 in 6 meetings.
    xG & xGA per match — 3-game rolling average

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

    Avispa Fukuoka
    Vissel Kobe
    When goals are scored and conceded 2025
    Avispa Fukuoka (3438)
    Vissel Kobe (4633)
    Pass networks

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

    Avispa Fukuoka
    Tomoya Miki: 219 passningar, xT 0.34MikiTatsuki Nara: 193 passningar, xT 0.38NaraTomoya Ando: 176 passningar, xT 0.2AndoDaiki Matsuoka: 170 passningar, xT 0.19MatsuokaYota Maejima: 157 passningar, xT 0.26MaejimaYuma Obata: 132 passningar, xT 0.34ObataYu Hashimoto: 94 passningar, xT 0.41HashimotoShintaro Nago: 91 passningar, xT 0.45NagoJurato Ikeda: 63 passningar, xT 0.12IkedaMasato Shigemi: 51 passningar, xT 0.05ShigemiShosei Usui: 42 passningar, xT -0.01Usui
    Vissel Kobe
    Takahiro Ogihara: 249 passningar, xT 0.87OgiharaMatheus Soares Thuler: 219 passningar, xT 0.53ThulerTetsushi Yamakawa: 184 passningar, xT 0.46YamakawaKatsuya Nagato: 170 passningar, xT 0.7NagatoDaiya Maekawa: 139 passningar, xT 0.21MaekawaNanasei Iino: 120 passningar, xT 1.05IinoTaisei Miyashiro: 118 passningar, xT 0.38MiyashiroYuya Osako: 105 passningar, xT 0.75OsakoYoshinori Muto: 105 passningar, xT 0.56MutoDaiju Sasaki: 89 passningar, xT 1SasakiYosuke Ideguchi: 77 passningar, xT 0.07Ideguchi
    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.

    Avispa Fukuoka
    Tomoya Miki: 219 passningar, xT 0.34MikiTatsuki Nara: 193 passningar, xT 0.38NaraTomoya Ando: 176 passningar, xT 0.2AndoDaiki Matsuoka: 170 passningar, xT 0.19MatsuokaYota Maejima: 157 passningar, xT 0.26MaejimaYuma Obata: 132 passningar, xT 0.34ObataYu Hashimoto: 94 passningar, xT 0.41HashimotoShintaro Nago: 91 passningar, xT 0.45NagoJurato Ikeda: 63 passningar, xT 0.12IkedaMasato Shigemi: 51 passningar, xT 0.05ShigemiShosei Usui: 42 passningar, xT -0.01Usui
    Vissel Kobe
    Takahiro Ogihara: 249 passningar, xT 0.87OgiharaMatheus Soares Thuler: 219 passningar, xT 0.53ThulerTetsushi Yamakawa: 184 passningar, xT 0.46YamakawaKatsuya Nagato: 170 passningar, xT 0.7NagatoDaiya Maekawa: 139 passningar, xT 0.21MaekawaNanasei Iino: 120 passningar, xT 1.05IinoTaisei Miyashiro: 118 passningar, xT 0.38MiyashiroYuya Osako: 105 passningar, xT 0.75OsakoYoshinori Muto: 105 passningar, xT 0.56MutoDaiju Sasaki: 89 passningar, xT 1SasakiYosuke Ideguchi: 77 passningar, xT 0.07Ideguchi

    The teams in numbers

    PerformanceAvispa FukuokaVissel Kobe
    Points4864
    xPoints52.365.4
    xG per match1.31.4
    xGA per match1.20.89
    xG within 8s of winning the ball0.20.3
    xGA within 8s of losing the ball0.260.18
    Playing styleAvispa FukuokaVissel Kobe
    Build-up efficiency0.340.33
    Field tilt0.480.57
    xT per match0.91
    xTA per match0.870.79
    Won balls, offensive half2936
    Pressing efficiency, offensive half0.270.35
    Entries into the box per match1215
    Entries into the box against1110
    Passes per match309312
    Passes against per match376271
    Set piecesAvispa FukuokaVissel Kobe
    xG from free kicks0.090.09
    Corners per match4.15.7
    Corners against per match3.94
    xG per corner0.050.05
    xGA per corner against0.040.05
    OtherAvispa FukuokaVissel Kobe
    Throw-in control0.680.67
    The goalkeepersYuma Obata (Avispa Fukuoka)Daiya Maekawa (Vissel Kobe)
    Saves5683
    Save %74%72%
    xG prevented51%58%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Avispa Fukuoka vs Vissel Kobe according to our model?

    The model gives Vissel Kobe a 45% win probability. Full 1X2 picture: Avispa Fukuoka 24%, draw 31%, Vissel Kobe 45%.

    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 37% and under at 63%.

    Will both teams score?

    The probability of both teams scoring is 44% 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.