J1 LeagueToyota Stadium, Toyota24°15,9 mm7 km/h

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    Nagoya GrampusNagoya GrampusPossession control
    13
    Machida ZelviaMachida ZelviaBalanced & physical
    The model's lean: 2 · Machida Zelvia (44%)

    Nagoya GrampusMachida Zelvia · J1 League

    1 · Nagoya Grampus 30%X 26%44% Machida Zelvia · 2

    Analysis: Nagoya GrampusMachida Zelvia

    Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work

    TEXT: Machida Zelvia's recent form and tactical resilience present a formidable challenge for Nagoya Grampus, especially given the visitors' physical style of play against the hosts' possession-based approach. The numbers tell a compelling story: Machida's unbeaten streak in their last five league matches and their perfect head-to-head record since 2023 (albeit from a small sample of four matches) indicate a trend that favors the away side. The model leans heavily towards Zelvia, reflecting a 44% probability of them taking all three points.

    Nagoya's struggles are underscored by their lackluster xPoints of 5.5 compared to Machida's 9.2. This discrepancy is mirrored in their xG stats, with Grampus trailing at 1.3 per match against Zelvia's 1.9. Despite controlling possession, they have failed to translate it into substantial goal-scoring opportunities, a concern amplified by Machida's tighter defense, allowing only 1.0 xGA per match. The model predicts a narrow victory for Zelvia, with the 1-1 draw standing at 12% likelihood and the 1-2 away win at 9% likelihood.

    With rain forecasted to potentially dampen the tempo, both teams might find it slightly harder to execute their preferred styles effectively, yet the model's over 2.5 goals probability of 51% suggests goals are still more likely than not. The expected goals lean towards a marginally higher tally for Machida, reinforcing the view that Zelvia might edge this encounter.

    For those seeking value, the model's inclination towards an away win presents a potentially interesting angle for bettors. Ending on that note, Machida's blend of form, defensive solidity, and Nagoya's struggles make for an intriguing clash with the visitors tipped to come out on top.

    Nagoya GrampusNagoya Grampus
    Form LLWWL
    League ranking xG #11xGA #10xT #10xP/match #14Points #11
    Key players
    • Katsuhiro NakayamaLWxG 0.12 · xT 0.11
    • Haruya FujiiCBxG 0.06 · xT 0.14
    • Sho InagakiCMxG 0.23 · xT 0.13
    Machida ZelviaMachida Zelvia
    Form WWWDW
    League ranking xG #2xGA #5xT #3xP/match #2Points #1
    Key players
    • Tete YengiFxG 0.46 · xT -0.01
    • Takuma NishimuraFxG 0.86 · xT 0.11
    • Yuta NakayamaLWxG 0.06 · xT 0.47
    Final score
    13
    The model called the outcome
    Predicted probabilities: Nagoya Grampus 30% · Draw 26% · Machida Zelvia 44%

    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 9,79fair 12,21-20 %
    Miss
    Matchresultat - Machida ZelviaBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 6,76fair 8,99-25 %
    Hit

    Match prediction: Nagoya GrampusMachida Zelvia

    Predicted score matrix

    Machida Zelvia
    Nagoya Grampus
    0
    1
    2
    3
    4+
    0
    0–07.0%
    0–19.3%
    0–27.1%
    0–33.5%
    0–4+1.7%
    1
    1–08.0%
    1–112.5%
    1–28.9%
    1–34.3%
    1–4+2.2%
    2
    2–05.2%
    2–17.6%
    2–25.5%
    2–32.7%
    2–4+1.4%
    3
    3–02.2%
    3–13.2%
    3–22.3%
    3–31.1%
    3–4+0.6%
    4+
    4+–00.9%
    4+–11.3%
    4+–20.9%
    4+–30.5%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.0-19%
    3. 3.1-29%
    4. 4.1-08%
    5. 5.2-18%
    Expected goals
    1,251,46
    Both teams to score
    55%

    Over/under goals

    Expected goals: 2,7
    Under 2,549%
    @2.01
    Over 2,551%
    @1.86

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Machida Zelvia or draw (X2)68%
    • Over 1.5 goals76%

    Combined probability

    52%

    Fair odds

    1.94

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

    02 · 3 legs

    Balanced

    • Double chance Machida Zelvia or draw (X2)68%
    • Over 2.5 goals51%
    • Takahiro Akimoto to score26%

    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 score55%
    • Over 2.5 goals51%
    • Takahiro Akimoto to score26%
    • Tomoki Takamine to be booked20%

    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 · Machida Zelvia44% probability@2.28PinnacleEV+1%reference odds
    Bookmaker1 · Nagoya GrampusX2 · Machida Zelvia
    Betsafe3.153.252.15
    Betsson3.153.252.15
    Nordicbet3.153.252.15
    Pinnacle3.143.56
    EV+ 1%
    2.28

    Odds updated 6 Sept, 10:33

    Odds movement

    1-1 %
    33 %28 %

    3.163.14

    X+2 %
    29 %24 %

    3.493.56

    2+3 %
    45 %40 %

    2.222.28

    Over 2,5+2 %
    55 %50 %

    1.831.86

    Pinnacle · 11 recorded price levels · 02/09/2026 → 06/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Nagoya Grampus 0Draw 0Machida Zelvia 4
    Goals: 27 (⌀ 2,2)

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

    Key facts

    • Machida Zelvia are unbeaten in their last 5 league matches.
    xG & xGA per match — 3-game rolling average

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

    Nagoya Grampus
    Machida Zelvia
    When goals are scored and conceded 2026
    Nagoya Grampus (68)
    Machida Zelvia (154)
    Pass networks

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

    Nagoya Grampus
    Tomoki Takamine: 317 passningar, xT 0.98TakamineSho Inagaki: 283 passningar, xT 0.64InagakiAlexandre Pisano: 249 passningar, xT 0.32PisanoHaruya Fujii: 248 passningar, xT 0.51FujiiShuhei Tokumoto: 171 passningar, xT 0.82TokumotoKatsuhiro Nakayama: 167 passningar, xT 0.55NakayamaYuki Nogami: 127 passningar, xT 0.39NogamiTeruki Hara: 116 passningar, xT 0.29HaraRyuji Izumi: 99 passningar, xT 0.09IzumiYudai Kimura: 76 passningar, xT 0.27KimuraYuya Asano: 68 passningar, xT 0.04Asano
    Machida Zelvia
    Neta Lavi: 223 passningar, xT 0.57LaviGen Shoji: 216 passningar, xT 0.3ShojiDaihachi Okamura: 208 passningar, xT 0.31OkamuraHiroyuki Mae: 204 passningar, xT 0.58MaeTakahiro Akimoto: 175 passningar, xT 0.3AkimotoYuta Nakayama: 151 passningar, xT 1.24NakayamaYuki Soma: 145 passningar, xT 2.07SomaKosei Tani: 143 passningar, xT 0.37TaniHotaka Nakamura: 87 passningar, xT 0.45NakamuraIbrahim Dresevic: 72 passningar, xT 0.11DresevicTete Yengi: 52 passningar, xT -0.07Yengi
    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: 317 passningar, xT 0.98TakamineSho Inagaki: 283 passningar, xT 0.64InagakiAlexandre Pisano: 249 passningar, xT 0.32PisanoHaruya Fujii: 248 passningar, xT 0.51FujiiShuhei Tokumoto: 171 passningar, xT 0.82TokumotoKatsuhiro Nakayama: 167 passningar, xT 0.55NakayamaYuki Nogami: 127 passningar, xT 0.39NogamiTeruki Hara: 116 passningar, xT 0.29HaraRyuji Izumi: 99 passningar, xT 0.09IzumiYudai Kimura: 76 passningar, xT 0.27KimuraYuya Asano: 68 passningar, xT 0.04Asano
    Machida Zelvia
    Neta Lavi: 223 passningar, xT 0.57LaviGen Shoji: 216 passningar, xT 0.3ShojiDaihachi Okamura: 208 passningar, xT 0.31OkamuraHiroyuki Mae: 204 passningar, xT 0.58MaeTakahiro Akimoto: 175 passningar, xT 0.3AkimotoYuta Nakayama: 151 passningar, xT 1.24NakayamaYuki Soma: 145 passningar, xT 2.07SomaKosei Tani: 143 passningar, xT 0.37TaniHotaka Nakamura: 87 passningar, xT 0.45NakamuraIbrahim Dresevic: 72 passningar, xT 0.11DresevicTete Yengi: 52 passningar, xT -0.07Yengi

    The teams in numbers

    PerformanceNagoya GrampusMachida Zelvia
    Points613
    xPoints5.59.2
    xG per match1.31.9
    xGA per match1.31
    xG within 8s of winning the ball0.160.23
    xGA within 8s of losing the ball0.180.08
    Playing styleNagoya GrampusMachida Zelvia
    Build-up efficiency0.310.35
    Field tilt0.560.56
    xT per match11.5
    xTA per match0.980.95
    Won balls, offensive half2629
    Pressing intensity0.220.23
    Pressing efficiency0.330.28
    Pressing efficiency, offensive half0.340.23
    Entries into the box per match1615
    Entries into the box against1112
    Pass completion %0.790.77
    Pass completion % under pressure0.750.74
    Passes per match426382
    Passes against per match304383
    Switches of play per match33.819.5
    Long balls per match4029
    Set piecesNagoya GrampusMachida Zelvia
    xG from free kicks0.040.05
    Corners per match5.64.4
    Corners against per match4.82.2
    xG per corner0.060.06
    xGA per corner against0.010.03
    First touch, offensive corners %0.540.32
    First touch, defensive corners %0.750.55
    OtherNagoya GrampusMachida Zelvia
    Throw-in control0.740.7
    The goalkeepersAlexandre Pisano (Nagoya Grampus)Kosei Tani (Machida Zelvia)
    Saves1711
    Save %71%73%
    xG prevented63%42%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Nagoya Grampus vs Machida Zelvia according to our model?

    The model gives Machida Zelvia a 44% win probability. Full 1X2 picture: Nagoya Grampus 30%, draw 26%, Machida Zelvia 44%.

    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 51% and under at 49%.

    Will both teams score?

    The probability of both teams scoring is 55% 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.