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    Nagoya GrampusNagoya GrampusPossession control
    vs
    The model's lean: 1 · Nagoya Grampus (43%)
    Shimizu S-PulseShimizu S-PulsePossession control

    Nagoya GrampusShimizu S-Pulse · J1 League

    1 · Nagoya Grampus 43%X 27%30% Shimizu S-Pulse · 2
    Nagoya GrampusNagoya Grampus
    Form DLLLW
    League ranking xG #8xGA #7xT #12xP/match #6Points #16
    Key players
    • Mateus dos Santos CastroFxG 0.22 · xT 0.08
    • Yuya YamagishiFxG 0.24 · xT 0.09
    • Sho InagakiCMxG 0.26 · xT 0.07
    Shimizu S-PulseShimizu S-Pulse
    Form LWLLL
    League ranking xG #13xGA #20xT #4xP/match #17Points #14
    Key players
    • Toshiki TakahashiFxG 0.44 · xT -0.01
    • Koya KitagawaFxG 0.42 · xT 0.04
    • Reon YamaharaLWxG 0.05 · xT 0.22

    Match prediction: Nagoya GrampusShimizu S-Pulse

    Predicted score matrix

    Shimizu S-Pulse
    Nagoya Grampus
    0
    1
    2
    3
    4+
    0
    0–07.3%
    0–17.7%
    0–24.6%
    0–31.8%
    0–4+0.7%
    1
    1–010.1%
    1–112.5%
    1–27.0%
    1–32.7%
    1–4+1.0%
    2
    2–07.9%
    2–19.2%
    2–25.3%
    2–32.0%
    2–4+0.8%
    3
    3–04.0%
    3–14.6%
    3–22.7%
    3–31.0%
    3–4+0.4%
    4+
    4+–02.1%
    4+–12.4%
    4+–21.4%
    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. 2.1-010%
    3. 3.2-19%
    4. 4.2-08%
    5. 5.0-18%
    Expected goals
    1,511,16
    Both teams to score
    54%

    Over/under goals

    Expected goals: 2,7
    Under 2,550%
    @1.92
    Over 2,550%
    @1.88

    Odds & value

    The model's value spots

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

    • 2 · Shimizu S-Pulse30% probability@3.35PinnacleEV+1%
    Bookmaker1 · Nagoya GrampusX2 · Shimizu S-Pulse
    Pinnacle2.063.64
    EV+ 1%
    3.35

    Odds updated 4 Aug, 09:04

    Analysis: Nagoya GrampusShimizu S-Pulse

    Erik Lindberg · · How the predictions work

    Three crushing defeats in a row have left Shimizu S-Pulse scrambling for answers, and their visit to Nagoya Grampus might present more questions than solutions. Despite holding a narrow points edge over Nagoya this season, Shimizu's recent form and defensive frailties, conceding an xGA of 1.5 per match, suggest they might struggle. Nagoya, meanwhile, have been a model of balance, controlling possession and boasting an xGA of just 1.2, making them a formidable opponent on home turf.

    Nagoya Grampus enter this clash with confidence, having not tasted defeat against Shimizu S-Pulse in their past two encounters this year. The head-to-head tilt, combined with the model's 43% probability favoring a Nagoya win, paints a picture of likely home dominance. However, it's telling that the most likely scorelines hover around a draw or a narrow victory: 1-1 stands at 12%, with a 1-0 win for Nagoya at 10%. Such predictions lean towards a tight match, possibly edging under the 2.5 goals mark, despite the even 50% chance given for over.

    Expect Nagoya to leverage their possession control to stifle Shimizu's advances, but the rain forecast could throw a wet wrench into the tactical chess game. Both teams share a penchant for keeping the ball, which might turn the match into a midfield battle, limiting clear-cut chances. The model's expected goals (xG) tally of 1.51 for Nagoya against 1.16 for Shimizu further suggests a slight edge to the hosts, though not an overwhelming one.

    Shimizu S-Pulse, despite their slump, present a curious betting angle. Pinnacle offers odds of 3.35 for an away win, providing just enough value for the adventurous punter, with a 1% edge over the model's 30% probability. For those daring to buck the form book, this might be the hidden gem of the matchup. But caution is warranted: the value here lies in the risk, not the expectation.

    Statistics

    Head-to-head

    2 matches
    Nagoya Grampus 1Draw 1Shimizu S-Pulse 0
    Goals: 41 (⌀ 2,5)

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

    Key facts

    • Shimizu S-Pulse have lost 3 in a row.
    xG & xGA per match — 3-game rolling average

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

    Nagoya Grampus
    Shimizu S-Pulse
    When goals are scored and conceded 2025
    Nagoya Grampus (4456)
    Shimizu S-Pulse (4151)
    Pass networks

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

    Nagoya Grampus
    Yota Sato: 220 passningar, xT 0.33SatoHaruya Fujii: 210 passningar, xT 0.3FujiiTsukasa Morishima: 207 passningar, xT 0.67MorishimaSho Inagaki: 189 passningar, xT 0.22InagakiTeruki Hara: 166 passningar, xT 0.36HaraRyuji Izumi: 149 passningar, xT 0.71IzumiTaichi Kikuchi: 125 passningar, xT 0.65KikuchiYohei Takeda: 82 passningar, xT 0.04TakedaYuki Nogami: 66 passningar, xT 0.12NogamiSoichiro Mori: 56 passningar, xT 0.08MoriKensuke Nagai: 44 passningar, xT 0.14Nagai
    Shimizu S-Pulse
    Matheus Bueno: 375 passningar, xT 0.61BuenoJelani Reshaun Sumiyoshi: 265 passningar, xT 0.39SumiyoshiReon Yamahara: 231 passningar, xT 1.79YamaharaSodai Hasukawa: 191 passningar, xT 0.09HasukawaYutaka Yoshida: 174 passningar, xT 0.4YoshidaTakashi Inui: 142 passningar, xT 0.29InuiShinya Yajima: 138 passningar, xT 0.46YajimaTogo Umeda: 107 passningar, xT 0.14UmedaSen Takagi: 99 passningar, xT 0.2TakagiJoão Victor da Vitória Fernandes: 96 passningar, xT 0.66FernandesKai Matsuzaki: 89 passningar, xT 0.55Matsuzaki
    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
    Yota Sato: 220 passningar, xT 0.33SatoHaruya Fujii: 210 passningar, xT 0.3FujiiTsukasa Morishima: 207 passningar, xT 0.67MorishimaSho Inagaki: 189 passningar, xT 0.22InagakiTeruki Hara: 166 passningar, xT 0.36HaraRyuji Izumi: 149 passningar, xT 0.71IzumiTaichi Kikuchi: 125 passningar, xT 0.65KikuchiYohei Takeda: 82 passningar, xT 0.04TakedaYuki Nogami: 66 passningar, xT 0.12NogamiSoichiro Mori: 56 passningar, xT 0.08MoriKensuke Nagai: 44 passningar, xT 0.14Nagai
    Shimizu S-Pulse
    Matheus Bueno: 375 passningar, xT 0.61BuenoJelani Reshaun Sumiyoshi: 265 passningar, xT 0.39SumiyoshiReon Yamahara: 231 passningar, xT 1.79YamaharaSodai Hasukawa: 191 passningar, xT 0.09HasukawaYutaka Yoshida: 174 passningar, xT 0.4YoshidaTakashi Inui: 142 passningar, xT 0.29InuiShinya Yajima: 138 passningar, xT 0.46YajimaTogo Umeda: 107 passningar, xT 0.14UmedaSen Takagi: 99 passningar, xT 0.2TakagiJoão Victor da Vitória Fernandes: 96 passningar, xT 0.66FernandesKai Matsuzaki: 89 passningar, xT 0.55Matsuzaki

    The teams in numbers

    PerformanceNagoya GrampusShimizu S-Pulse
    Points4344
    xPoints56.245.2
    xG per match1.31.3
    xGA per match1.21.5
    xG within 8s of winning the ball0.260.27
    xGA within 8s of losing the ball0.210.21
    Playing styleNagoya GrampusShimizu S-Pulse
    Build-up efficiency0.320.31
    Field tilt0.390.5
    xT per match0.851.1
    xTA per match0.81
    Won balls, offensive half2824
    Pressing efficiency, offensive half0.270.28
    Entries into the box per match1114
    Entries into the box against1114
    Passes per match311382
    Passes against per match357358
    Set piecesNagoya GrampusShimizu S-Pulse
    xG from free kicks0.070.03
    Corners per match4.14.9
    Corners against per match54.8
    xG per corner0.060.05
    xGA per corner against0.060.06
    OtherNagoya GrampusShimizu S-Pulse
    Throw-in control0.690.68
    The goalkeepersYohei Takeda (Nagoya Grampus)Yuya Oki (Shimizu S-Pulse)
    Saves4167
    Save %60%67%
    xG prevented40%42%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Nagoya Grampus vs Shimizu S-Pulse according to our model?

    The model gives Nagoya Grampus a 43% win probability. Full 1X2 picture: Nagoya Grampus 43%, draw 27%, Shimizu S-Pulse 30%.

    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 50% and under at 50%.

    Will both teams score?

    The probability of both teams scoring is 54% 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.