J1 LeagueToyota Stadium, Toyota26°8,6 mm5 km/h

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    Nagoya GrampusNagoya GrampusPossession control
    21
    Fagiano OkayamaFagiano OkayamaPossession & high press
    The model's lean: 1 · Nagoya Grampus (38%)

    Nagoya GrampusFagiano Okayama · J1 League

    1 · Nagoya Grampus 38%X 27%35% Fagiano Okayama · 2

    Analysis: Nagoya GrampusFagiano Okayama

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

    When Nagoya Grampus host Fagiano Okayama, the clash of styles is likely to dominate the narrative. The home side's preference for possession control will meet the visitors' aggressive high press. This dynamic sets the stage for a strategic battle where Nagoya aims to dictate the tempo, while Okayama looks to disrupt and pounce on mistakes.

    Despite Nagoya's slight edge in the model probabilities at 38% for a win, their actual form tells a more competitive story. Fagiano Okayama holds the advantage in both points and expected points, with 4 and 6.1 respectively compared to Nagoya's 3 and 3.3. The small head-to-head sample of just two matches, where Grampus remain unbeaten, weighs less than the current form and tactical setup.

    The expected goals model suggests a tight encounter, with Nagoya Grampus projected at 1.55 xG and Okayama at 1.26 xG. The most likely scorelines, 1-1, 2-1, and 1-0, reflect this, but the 53% chance for over 2.5 goals signals potential for a few more goals than the typical narrative of a tactical chess match would suggest. The likely rain, with 2.7 mm expected, might dampen the attacking flair but is already factored into the model numbers.

    With the model identifying value in the over 3.5 goals market at odds of 3.6 with Betsafe, Betsson, and Nordicbet (each with a 12% edge), this is the standout angle for punters seeking an edge. While a goal-heavy match might seem counterintuitive given the playing styles, the betting value reflects an opportunity to capitalize on a less expected outcome.

    Nagoya GrampusNagoya Grampus
    Form LWLLW
    League ranking xG #9xGA #12xT #8xP/match #14Points #14
    Key players
    • Katsuhiro NakayamaLWxG 0.05 · xT 0.06
    • Haruya FujiiCBxG 0.06 · xT 0.20
    • Tomoki TakamineCMxG 0.03 · xT 0.30
    Fagiano OkayamaFagiano Okayama
    Form LWLWD
    League ranking xG #11xGA #1xT #3xP/match #2Points #7
    Key players
    • Lucas Marcos MeirelesFxG 0.40 · xT 0.01
    • Sang Ho NaFxG 0.07 · xT 0.29
    • Hiroshi OmoriCBxG 0.01 · xT 0.12
    Final score
    21
    The model called the outcome
    Predicted probabilities: Nagoya Grampus 38% · Draw 27% · Fagiano Okayama 35%

    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 - Nagoya GrampusBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 8,72fair 7,97+9 %
    Miss
    Matchresultat - Fagiano OkayamaBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 7,91fair 12,07-34 %
    Miss

    Match prediction: Nagoya GrampusFagiano Okayama

    Predicted score matrix

    Fagiano Okayama
    Nagoya Grampus
    0
    1
    2
    3
    4+
    0
    0–06.4%
    0–17.2%
    0–24.8%
    0–32.0%
    0–4+0.8%
    1
    1–09.0%
    1–112.1%
    1–27.4%
    1–33.1%
    1–4+1.3%
    2
    2–07.3%
    2–19.1%
    2–25.7%
    2–32.4%
    2–4+1.0%
    3
    3–03.7%
    3–14.7%
    3–23.0%
    3–31.2%
    3–4+0.5%
    4+
    4+–02.1%
    4+–12.6%
    4+–21.6%
    4+–30.7%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.2-19%
    3. 3.1-09%
    4. 4.1-27%
    5. 5.2-07%
    Expected goals
    1,551,26
    Both teams to score
    57%

    Over/under goals

    Expected goals: 2,8
    Under 2,547%
    @1.93
    Over 2,553%
    @1.94EV+3%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Nagoya Grampus or draw (1X)69%
    • Over 1.5 goals77%

    Combined probability

    54%

    Fair odds

    1.85

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

    02 · 3 legs

    Balanced

    • Double chance Nagoya Grampus or draw (1X)69%
    • Over 2.5 goals53%
    • Yudai Kimura to score20%

    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 goals53%
    • Yudai Kimura to score20%
    • Hiroshi Omori to be booked19%

    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 · Nagoya Grampus38% probability@2.80PinnacleEV+5%reference odds
    • Over 2.553% probability@1.94PinnacleEV+3%reference odds
    Bookmaker1 · Nagoya GrampusX2 · Fagiano Okayama
    Betsafe2.653.252.42
    Betsson2.653.252.42
    Nordicbet2.653.252.42
    Pinnacle
    EV+ 5%
    2.80
    3.472.56

    Odds updated 29 Aug, 10:25

    Odds movement

    Market signal

    The market has moved clearly towards over 2.5 goals since 22 August — the odds have shortened from 2.11 to 1.94 (−8%).

    1+7 %
    41 %31 %

    2.612.80

    X+3 %
    33 %23 %

    3.373.47

    2-4 %
    41 %31 %

    2.682.56

    Over 2,5-8 %
    53 %43 %

    2.111.94

    Pinnacle · 13 recorded price levels · 22/08/2026 → 29/08/2026 · fixed scale 10 percentage points

    Statistics

    Head-to-head

    2 matches
    Nagoya Grampus 1Draw 1Fagiano Okayama 0
    Goals: 10 (⌀ 0,5)

    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).

    Nagoya Grampus
    Fagiano Okayama
    When goals are scored and conceded 2026
    Nagoya Grampus (44)
    Fagiano Okayama (22)
    Pass networks

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

    Nagoya Grampus
    Tomoki Takamine: 206 passningar, xT 0.9TakamineSho Inagaki: 172 passningar, xT 0.45InagakiAlexandre Pisano: 154 passningar, xT 0.21PisanoHaruya Fujii: 140 passningar, xT 0.36FujiiTeruki Hara: 116 passningar, xT 0.29HaraKatsuhiro Nakayama: 109 passningar, xT 0.21NakayamaYuki Nogami: 72 passningar, xT 0.15NogamiShuhei Tokumoto: 70 passningar, xT 0.33TokumotoRyuji Izumi: 58 passningar, xT 0.13IzumiTsukasa Morishima: 54 passningar, xT 0.04MorishimaYudai Kimura: 46 passningar, xT 0.32Kimura
    Fagiano Okayama
    Oberdan Alionço de Lima: 147 passningar, xT 0.2LimaHiroshi Omori: 112 passningar, xT 0.38OmoriYoshitake Suzuki: 100 passningar, xT 0.23SuzukiYugo Tatsuta: 94 passningar, xT 0.24TatsutaEiji Miyamoto: 88 passningar, xT 0.4MiyamotoAtaru Esaka: 85 passningar, xT 0.28EsakaKosuke Shirai: 83 passningar, xT 0.68ShiraiTowa Yamane: 70 passningar, xT 0.25YamaneSang Ho Na: 58 passningar, xT 0.31NaLennart Franklin Moser: 23 passningar, xT 0.06MoserNoah Kenshin Browne: 20 passningar, xT 0.02Browne
    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.

    Nagoya Grampus
    Tomoki Takamine: 206 passningar, xT 0.9TakamineSho Inagaki: 172 passningar, xT 0.45InagakiAlexandre Pisano: 154 passningar, xT 0.21PisanoHaruya Fujii: 140 passningar, xT 0.36FujiiTeruki Hara: 116 passningar, xT 0.29HaraKatsuhiro Nakayama: 109 passningar, xT 0.21NakayamaYuki Nogami: 72 passningar, xT 0.15NogamiShuhei Tokumoto: 70 passningar, xT 0.33TokumotoRyuji Izumi: 58 passningar, xT 0.13IzumiTsukasa Morishima: 54 passningar, xT 0.04MorishimaYudai Kimura: 46 passningar, xT 0.32Kimura
    Fagiano Okayama
    Oberdan Alionço de Lima: 147 passningar, xT 0.2LimaHiroshi Omori: 112 passningar, xT 0.38OmoriYoshitake Suzuki: 100 passningar, xT 0.23SuzukiYugo Tatsuta: 94 passningar, xT 0.24TatsutaEiji Miyamoto: 88 passningar, xT 0.4MiyamotoAtaru Esaka: 85 passningar, xT 0.28EsakaKosuke Shirai: 83 passningar, xT 0.68ShiraiTowa Yamane: 70 passningar, xT 0.25YamaneSang Ho Na: 58 passningar, xT 0.31NaLennart Franklin Moser: 23 passningar, xT 0.06MoserNoah Kenshin Browne: 20 passningar, xT 0.02Browne

    The teams in numbers

    PerformanceNagoya GrampusFagiano Okayama
    Points34
    xPoints3.36.1
    xG per match1.31.3
    xGA per match1.30.28
    xG within 8s of winning the ball0.220.23
    xGA within 8s of losing the ball0.220.02
    Playing styleNagoya GrampusFagiano Okayama
    Build-up efficiency0.310.32
    Field tilt0.590.72
    xT per match1.11.5
    xTA per match0.970.47
    Won balls, offensive half3032
    Pressing intensity0.220.21
    Pressing efficiency0.350.34
    Pressing efficiency, offensive half0.370.29
    Entries into the box per match1519
    Entries into the box against106
    Pass completion %0.80.7
    Pass completion % under pressure0.740.69
    Passes per match439321
    Passes against per match288327
    Switches of play per match40.821.8
    Long balls per match4728
    Set piecesNagoya GrampusFagiano Okayama
    xG from free kicks0.050.03
    Corners per match76.3
    Corners against per match4.32.3
    xG per corner0.040.01
    xGA per corner against0.010.01
    First touch, offensive corners %0.430.37
    First touch, defensive corners %0.850.57
    OtherNagoya GrampusFagiano Okayama
    Throw-in control0.760.75
    The goalkeepersAlexandre Pisano (Nagoya Grampus)Shun Matsuda (Fagiano Okayama)
    Saves122
    Save %80%50%
    xG prevented86%41%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Nagoya Grampus vs Fagiano Okayama according to our model?

    The model gives Nagoya Grampus a 38% win probability. Full 1X2 picture: Nagoya Grampus 38%, draw 27%, Fagiano Okayama 35%.

    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 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.