J1 LeagueNoevir Stadium, Kobe28°0,2 mm11 km/h

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    Vissel KobeVissel KobeCounter-attacks & crosses
    vs
    Cerezo OsakaCerezo OsakaCounter-attacks & crosses
    The model's lean: 1 · Vissel Kobe (53%)Best value by the model: Over 2,5 @ 1.96 (+8 %)

    Vissel KobeCerezo Osaka · J1 League

    1 · Vissel Kobe 53%X 26%21% Cerezo Osaka · 2

    Analysis: Vissel KobeCerezo Osaka

    Erik Lindberg · · Written from the model's numbers · How the predictions work

    In the J1 League clash between Vissel Kobe and Cerezo Osaka, all eyes will undoubtedly be on the defensive setups as both teams lean on counter-attacks and crosses. Despite Cerezo holding a slight points advantage with six to Kobe’s four, the expected goals tell a different story. Kobe generates an xG of 1.2 per match, comfortably doubling Cerezo's 0.6, pointing to a more efficient attack.

    Weather could throw a wrench into the plans, with rain expected to dampen the proceedings and potentially suppress goal-scoring opportunities. However, the model still finds value in a higher scoring game given the 3% edge for over 2.5 goals, priced at 1.88 with Betsafe, Betsson, and Nordicbet. This suggests that even with adverse conditions, a more open game is anticipated.

    The historical edge in head-to-head battles slightly favors Kobe with three wins out of six recent matches. Yet, this small sample size should be weighed with caution against the season form and expected goal metrics. Kobe’s home strength is notable too, winning 55% of their home matches historically, which could prove crucial against a visiting side that profiles similarly in style but less effectively in execution.

    With the visitors conceding an average xGA of 1.4 per match, Kobe's robust defensive record of 0.83 xGA per game could be the decisive factor. The model’s most likely scorelines reflect this defensive edge, projecting tight finishes like 1-1 or 2-1. Given the odds and statistical backing, leaning towards a 2-1 victory for the hosts seems prudent, with the over 2.5 goals having a worthwhile edge.

    Ultimately, all signs point to a tight affair but one where Kobe has the upper hand. Savvy punters might find the over 2.5 goals market holds the most promise for a return, supported by statistical evidence and a favorable price.

    Vissel KobeVissel Kobe
    Form DLWDL
    League ranking xG #12xGA #4xT #11xP/match #11Points #10
    Key players
    • Yuya OsakoFxG 1.02 · xT -0.12
    • Yoshinori MutoRWxG 0.06 · xT 0.26
    • Gotoku SakaiRBxG 0.02 · xT 0.17
    Cerezo OsakaCerezo Osaka
    Form LLWLW
    League ranking xG #19xGA #15xT #20xP/match #19Points #6
    Key players
    • Shunta TanakaCAMxG 0.07 · xT 0.07
    • Jackson Alexander IrvineCAMxG 0.07 · xT 0.15
    • Rikito InoueCBxG 0.05 · xT 0.07

    Match prediction: Vissel KobeCerezo Osaka

    Predicted score matrix

    Cerezo Osaka
    Vissel Kobe
    0
    1
    2
    3
    4+
    0
    0–06.0%
    0–16.2%
    0–23.7%
    0–31.4%
    0–4+0.5%
    1
    1–09.4%
    1–111.5%
    1–26.4%
    1–32.5%
    1–4+0.9%
    2
    2–08.4%
    2–19.7%
    2–25.6%
    2–32.1%
    2–4+0.8%
    3
    3–04.8%
    3–15.6%
    3–23.2%
    3–31.2%
    3–4+0.5%
    4+
    4+–03.1%
    4+–13.5%
    4+–22.0%
    4+–30.8%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.2-110%
    3. 3.1-09%
    4. 4.2-08%
    5. 5.1-26%
    Expected goals
    1,731,15
    Both teams to score
    57%

    Over/under goals

    Expected goals: 2,9
    Under 2,545%
    @1.86
    Over 2,555%
    @1.96EV+4%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Vissel Kobe to win53%
    • Over 1.5 goals79%

    Combined probability

    41%

    Fair odds

    2.44

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

    02 · 3 legs

    Balanced

    • Vissel Kobe to win53%
    • Over 2.5 goals55%
    • Katsuya Nagato to score30%

    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 score57%
    • Over 2.5 goals55%
    • Katsuya Nagato to score30%
    • Nelson Ishiwatari 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+).

    • Over 2.555% probability@1.96PinnacleEV+8%reference odds
    • Over 2.555% probability@1.90BetsafeEV+4%reference odds
    • Over 2.555% probability@1.90BetssonEV+4%reference odds
    Bookmaker1 · Vissel KobeX2 · Cerezo Osaka
    Betsafe1.883.303.90
    Betsson1.883.303.90
    Nordicbet1.883.303.90
    Pinnacle
    EV+ 3%
    1.93
    3.513.92

    Odds updated 27 Aug, 14:33

    Odds movement

    Market signal

    The market has moved clearly towards under 2.5 goals since 22 August — the odds have shortened from 2.03 to 1.86 (−8%).

    1+1 %
    53 %48 %

    1.911.93

    X-4 %
    29 %24 %

    3.673.51

    2+2 %
    26 %21 %

    3.833.92

    Over 2,5+9 %
    53 %48 %

    1.791.96

    Pinnacle · 4 recorded price levels · 22/08/2026 → 27/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    6 matches
    Vissel Kobe 3Draw 1Cerezo Osaka 2
    Goals: 108 (⌀ 3)

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

    Key facts

    • A high-scoring fixture: 3.0 goals per meeting on average.
    • Vissel Kobe win 55% of their home matches all-time (56 played).
    xG & xGA per match — 3-game rolling average

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

    Vissel Kobe
    Cerezo Osaka
    When goals are scored and conceded 2026
    Vissel Kobe (33)
    Cerezo Osaka (34)
    Pass networks

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

    Vissel Kobe
    Matheus Soares Thuler: 156 passningar, xT 0.48ThulerDiego Jara Rodrigues: 108 passningar, xT 0.78RodriguesTetsushi Yamakawa: 91 passningar, xT 0.07YamakawaGotoku Sakai: 82 passningar, xT 0.23SakaiYosuke Ideguchi: 70 passningar, xT 0.14IdeguchiIssei Takahashi: 63 passningar, xT 0.11TakahashiShuichi Gonda: 59 passningar, xT 0.22GondaTakuya Iwanami: 58 passningar, xT 0.12IwanamiMitsuki Hidaka: 50 passningar, xT 0.17HidakaKatsuya Nagato: 49 passningar, xT -0.02NagatoYoshinori Muto: 47 passningar, xT 0.49Muto
    Cerezo Osaka
    Shinnosuke Hatanaka: 163 passningar, xT 0.11HatanakaDion-Johan Chai Cools: 151 passningar, xT 0.37CoolsRikito Inoue: 141 passningar, xT 0.21InoueShunta Tanaka: 126 passningar, xT 0.18TanakaTakumi Nakamura: 118 passningar, xT 0.1NakamuraKosuke Nakamura: 79 passningar, xT 0.03NakamuraJackson Alexander Irvine: 76 passningar, xT 0.19IrvineShinji Kagawa: 62 passningar, xT 0.05KagawaAyumu Ohata: 59 passningar, xT -0.05OhataKosei Okazawa: 35 passningar, xT 0.19OkazawaSolomon Sakuragawa: 27 passningar, xT -0.19Sakuragawa
    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: 156 passningar, xT 0.48ThulerDiego Jara Rodrigues: 108 passningar, xT 0.78RodriguesTetsushi Yamakawa: 91 passningar, xT 0.07YamakawaGotoku Sakai: 82 passningar, xT 0.23SakaiYosuke Ideguchi: 70 passningar, xT 0.14IdeguchiIssei Takahashi: 63 passningar, xT 0.11TakahashiShuichi Gonda: 59 passningar, xT 0.22GondaTakuya Iwanami: 58 passningar, xT 0.12IwanamiMitsuki Hidaka: 50 passningar, xT 0.17HidakaKatsuya Nagato: 49 passningar, xT -0.02NagatoYoshinori Muto: 47 passningar, xT 0.49Muto
    Cerezo Osaka
    Shinnosuke Hatanaka: 163 passningar, xT 0.11HatanakaDion-Johan Chai Cools: 151 passningar, xT 0.37CoolsRikito Inoue: 141 passningar, xT 0.21InoueShunta Tanaka: 126 passningar, xT 0.18TanakaTakumi Nakamura: 118 passningar, xT 0.1NakamuraKosuke Nakamura: 79 passningar, xT 0.03NakamuraJackson Alexander Irvine: 76 passningar, xT 0.19IrvineShinji Kagawa: 62 passningar, xT 0.05KagawaAyumu Ohata: 59 passningar, xT -0.05OhataKosei Okazawa: 35 passningar, xT 0.19OkazawaSolomon Sakuragawa: 27 passningar, xT -0.19Sakuragawa

    The teams in numbers

    PerformanceVissel KobeCerezo Osaka
    Points46
    xPoints3.72.5
    xG per match1.20.6
    xGA per match0.831.4
    xG within 8s of winning the ball0.460.02
    xGA within 8s of losing the ball0.120.15
    Playing styleVissel KobeCerezo Osaka
    Build-up efficiency0.320.31
    Field tilt0.580.47
    xT per match10.61
    xTA per match0.61.2
    Won balls, offensive half3522
    Pressing intensity0.250.22
    Pressing efficiency0.370.35
    Pressing efficiency, offensive half0.370.36
    Entries into the box per match177
    Entries into the box against1114
    Pass completion %0.730.75
    Pass completion % under pressure0.70.69
    Passes per match349382
    Passes against per match255248
    Switches of play per match24.323.2
    Long balls per match3131
    Set piecesVissel KobeCerezo Osaka
    xG from free kicks0.090.01
    Corners per match3.44.6
    Corners against per match4.45.9
    xG per corner0.040.01
    xGA per corner against00.03
    First touch, offensive corners %0.40.5
    First touch, defensive corners %0.920.5
    OtherVissel KobeCerezo Osaka
    Throw-in control0.790.8
    The goalkeepersShuichi Gonda (Vissel Kobe)Kosuke Nakamura (Cerezo Osaka)
    Saves48
    Save %67%67%
    xG prevented45%52%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Vissel Kobe vs Cerezo Osaka according to our model?

    The model gives Vissel Kobe a 53% win probability. Full 1X2 picture: Vissel Kobe 53%, draw 26%, Cerezo Osaka 21%.

    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 55% and under at 45%.

    Will both teams score?

    The probability of both teams scoring is 57% 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.