J1 LeagueSankyo Frontier Kashiwa Stadium, Kashiwa19°6 km/h

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    Kashiwa ReysolKashiwa ReysolPossession control
    1–3
    Nagoya GrampusNagoya GrampusPossession control
    The model's lean: 1 · Kashiwa Reysol (56%)Best value by the model: X · Draw @ 4.32 (+4 %)

    Kashiwa Reysol vs Nagoya Grampus · J1 League

    1 · Kashiwa Reysol 56%X 24%20% Nagoya Grampus · 2

    Prediction summary

    Final score 1–3. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for Kashiwa Reysol vs Nagoya Grampus (J1 League, Saturday, 17 October 2026): Kashiwa Reysol win 56%, draw 24%, Nagoya Grampus win 20%. Expected goals (xG): Kashiwa Reysol 1.84, Nagoya Grampus 1.23. Most likely score: 1-1 (11%). Over 2.5 goals 59%, both teams to score 60%. Double chance: Kashiwa Reysol or draw 80%, Nagoya Grampus or draw 44%. Prediction updated Friday, 9 October 2026.

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    Analysis: Kashiwa Reysol – Nagoya Grampus

    Sofia Andersson · · The model's read on the match · How the predictions work

    TEXT: Kashiwa Reysol's recent head-to-head record against Nagoya Grampus is actually slightly unfavorable, having secured just two wins against three losses (and one draw) in their last six meetings. This head-to-head trend, however, is outweighed by their current form and statistical supremacy this season. The home side is on a three-game winning streak, and the underlying metrics favor them considerably. Their expected goals (xG) per match stands at 1.6, compared to Nagoya's 1.1, underscoring a more potent attacking threat.

    The model's probabilities tilt heavily in favor of the hosts, with a 56% chance of victory for Kashiwa compared to just 20% for the visitors. These numbers reflect the current gulf in form and performance levels. Kashiwa's expected goals against (xGA) per match is also lower, suggesting a more robust defensive setup. While both teams favor possession control, it's Kashiwa's superior execution of this style that could be the decisive factor.

    With a 59% chance of over 2.5 goals and a 60% likelihood of both teams scoring, the data suggests an open game. However, the most likely scorelines still indicate a tight contest, with the 1-1 draw (11%) and a 2-1 win for Kashiwa (10%) leading the probabilities. The model's forecast has already adjusted for style clashes, showing the home side's better conversion of possession into tangible threat.

    For those seeking value, the draw at 4.2 with LeoVegas offers a slight edge over the model's 24% assessment, presenting a 1% expected value advantage. While this is not a massive edge, it's the sharpest line against a backdrop that clearly favors the hosts. Ultimately, a 2-1 victory for Kashiwa Reysol seems the most plausible outcome, with a nod towards the over 2.5 goals given the attacking profiles.

    Kashiwa ReysolKashiwa Reysol
    Form LLWWW
    League ranking xG #5xGA #8xT #5xP/match #8Points #1
    Key players
    • Taiyo KogaCBxG 0.00 · xT 0.07
    • Koki KumasakaCMxG 0.02 · xT 0.04
    • Daiki SugiokaCBxG 0.05 · xT 0.14
    Nagoya GrampusNagoya Grampus
    Form LLLLW
    League ranking xG #13xGA #12xT #9xP/match #19Points #15
    Key players
    • Haruya FujiiCBxG 0.07 · xT 0.11
    • Sho InagakiCDMxG 0.15 · xT 0.12
    • Katsuhiro NakayamaLWxG 0.09 · xT 0.10
    Final score
    1 – 3
    The model missed the outcome
    Predicted probabilities: Kashiwa Reysol 56% · Draw 24% · Nagoya Grampus 20%

    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 14,68fair 12,97+13 %
    Hit
    Matchresultat - Kashiwa ReysolBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 4,82fair 5,80-17 %
    Miss

    Match prediction: Kashiwa Reysol – Nagoya Grampus

    Predicted score matrix

    Nagoya Grampus →
    Kashiwa Reysol →
    0
    1
    2
    3
    4+
    0
    0–05.0%
    0–15.4%
    0–23.5%
    0–31.4%
    0–4+0.6%
    1
    1–08.3%
    1–110.8%
    1–26.5%
    1–32.6%
    1–4+1.1%
    2
    2–07.9%
    2–19.7%
    2–25.9%
    2–32.4%
    2–4+1.0%
    3
    3–04.8%
    3–15.9%
    3–23.6%
    3–31.5%
    3–4+0.6%
    4+
    4+–03.4%
    4+–14.1%
    4+–22.5%
    4+–31.0%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-110%
    3. 3.1-08%
    4. 4.2-08%
    5. 5.1-26%
    Expected goals
    1,84–1,23
    Both teams to score
    60%

    Over/under goals

    Expected goals: 3,1
    Under 2,541%
    @2.19
    Over 2,559%
    @1.72EV+2%

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Kashiwa Reysol to win56%
    • Over 1.5 goals81%

    Combined probability

    43%

    Fair odds

    2.33

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

    02 · 3 legs

    Balanced

    • Kashiwa Reysol to win56%
    • Over 2.5 goals59%
    • Yuki Kakita to score25%

    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 score60%
    • Over 2.5 goals59%
    • Yuki Kakita to score25%
    • Sho Inagaki to be booked21%

    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+).

    • X · Draw24% probability@4.32PinnacleEV+4%reference odds
    • Over 2.559% probability@1.72PinnacleEV+2%reference odds
    Bookmaker1 · Kashiwa ReysolX2 · Nagoya Grampus
    Betsafe1.623.804.70
    LeoVegas1.643.954.70
    Nordicbet1.623.804.70
    Pinnacle1.65
    EV+ 4%
    4.32
    4.90

    Odds updated 17 Oct, 12:15

    Odds movement

    1+3 %
    61 %56 %

    1.59 → 1.65

    X0 %
    24 %19 %

    4.34 → 4.32

    2-1 %
    22 %17 %

    4.93 → 4.90

    Pinnacle · 11 recorded price levels · 15/10/2026 → 17/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    6 matches
    Kashiwa Reysol 2Draw 1Nagoya Grampus 3
    Goals: 5–9 (⌀ 2,3)

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

    Key facts

    • Kashiwa Reysol come into this round on 3 straight wins.
    xG & xGA per match — 3-game rolling average

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

    Kashiwa Reysol
    Nagoya Grampus
    When goals are scored and conceded — 2026
    Kashiwa Reysol (21–14)
    Nagoya Grampus (9–15)
    Pass networks

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

    Kashiwa Reysol
    Taiyo Koga: 319 passningar, xT 0.28KogaDaiki Sugioka: 224 passningar, xT 0.54SugiokaNobuteru Nakagawa: 213 passningar, xT 0.6NakagawaTojiro Kubo: 173 passningar, xT 1.08KuboYoshio Koizumi: 172 passningar, xT 1.25KoizumiKoki Kumasaka: 139 passningar, xT 0.11KumasakaSeiya Baba: 137 passningar, xT 0.44BabaYudai Konishi: 114 passningar, xT 0.14KonishiKeita Endo: 106 passningar, xT 0.42EndoWataru Harada: 96 passningar, xT 0.12HaradaRyosuke Kojima: 94 passningar, xT -0.01Kojima
    Nagoya Grampus
    Haruya Fujii: 344 passningar, xT 0.35FujiiTomoki Takamine: 336 passningar, xT 0.56TakamineSho Inagaki: 302 passningar, xT 0.55InagakiShuhei Tokumoto: 202 passningar, xT 0.55TokumotoDaniel Schmidt: 161 passningar, xT 0.16SchmidtTeruki Hara: 158 passningar, xT 0.32HaraKatsuhiro Nakayama: 113 passningar, xT 0.24NakayamaRyuji Izumi: 98 passningar, xT 0.6IzumiYuki Nogami: 93 passningar, xT 0.31NogamiTsukasa Morishima: 87 passningar, xT 0.31MorishimaAlexandre Pisano: 85 passningar, xT 0.12Pisano
    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.

    Kashiwa Reysol
    Taiyo Koga: 319 passningar, xT 0.28KogaDaiki Sugioka: 224 passningar, xT 0.54SugiokaNobuteru Nakagawa: 213 passningar, xT 0.6NakagawaTojiro Kubo: 173 passningar, xT 1.08KuboYoshio Koizumi: 172 passningar, xT 1.25KoizumiKoki Kumasaka: 139 passningar, xT 0.11KumasakaSeiya Baba: 137 passningar, xT 0.44BabaYudai Konishi: 114 passningar, xT 0.14KonishiKeita Endo: 106 passningar, xT 0.42EndoWataru Harada: 96 passningar, xT 0.12HaradaRyosuke Kojima: 94 passningar, xT -0.01Kojima
    Nagoya Grampus
    Haruya Fujii: 344 passningar, xT 0.35FujiiTomoki Takamine: 336 passningar, xT 0.56TakamineSho Inagaki: 302 passningar, xT 0.55InagakiShuhei Tokumoto: 202 passningar, xT 0.55TokumotoDaniel Schmidt: 161 passningar, xT 0.16SchmidtTeruki Hara: 158 passningar, xT 0.32HaraKatsuhiro Nakayama: 113 passningar, xT 0.24NakayamaRyuji Izumi: 98 passningar, xT 0.6IzumiYuki Nogami: 93 passningar, xT 0.31NogamiTsukasa Morishima: 87 passningar, xT 0.31MorishimaAlexandre Pisano: 85 passningar, xT 0.12Pisano

    The teams in numbers

    PerformanceKashiwa ReysolNagoya Grampus
    Points219
    xPoints13.38.4
    xG per match1.61.1
    xGA per match1.21.4
    xG within 8s of winning the ball0.290.13
    xGA within 8s of losing the ball0.260.25
    Playing styleKashiwa ReysolNagoya Grampus
    Build-up efficiency0.320.32
    Field tilt0.660.57
    xT per match1.21
    xTA per match0.960.96
    Won balls, offensive half1925
    Pressing intensity0.230.23
    Pressing efficiency0.270.3
    Pressing efficiency, offensive half0.230.3
    Entries into the box per match1616
    Entries into the box against1011
    Pass completion %0.830.8
    Pass completion % under pressure0.760.75
    Passes per match524450
    Passes against per match343303
    Switches of play per match32.534
    Long balls per match3239
    Set piecesKashiwa ReysolNagoya Grampus
    xG from free kicks0.010.05
    Corners per match5.65.3
    Corners against per match3.73.9
    xG per corner0.010.05
    xGA per corner against0.020.01
    First touch, offensive corners %0.860.54
    First touch, defensive corners %0.810.65
    OtherKashiwa ReysolNagoya Grampus
    Throw-in control0.760.76
    The goalkeepersRyosuke Kojima (Kashiwa Reysol)Alexandre Pisano (Nagoya Grampus)
    Saves1319
    Save %56%68%
    xG prevented30%47%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Kashiwa Reysol vs Nagoya Grampus according to our model?

    The model gives Kashiwa Reysol a 56% win probability. Full 1X2 picture: Kashiwa Reysol 56%, draw 24%, Nagoya Grampus 20%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 59% and under at 41%.

    Will both teams score?

    The probability of both teams scoring is 60% according to the model.

    How many goals are expected in Kashiwa Reysol vs Nagoya Grampus?

    The model expects 1.84 goals (xG) for Kashiwa Reysol and 1.23 for Nagoya Grampus, 3.07 in total.

    What does the model say about double chance?

    Kashiwa Reysol or draw (1X) 80%, Nagoya Grampus or draw (X2) 44% and no draw (12) 76%.

    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.