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    Montedio YamagataMontedio Yamagata
    vs
    Kataller ToyamaKataller Toyama
    The model's lean: 1 · Montedio Yamagata (39%)Soft draw

    Montedio Yamagata vs Kataller Toyama · J2 League

    1 · Montedio Yamagata 39%X 25%36% Kataller Toyama · 2

    Analysis: Montedio YamagataKataller Toyama

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

    Montedio Yamagata enters this clash with a subtle edge according to the model, which pegs them at 39% to win against Kataller Toyama's close 36%. This tight probability split suggests a fiercely contested battle, and the expected goals echo this parity: Yamagata at 1.54 and Toyama at 1.46. While Yamagata has yet to taste defeat in their two head-to-head encounters since 2023, the sample size is too small to heavily influence predictions, especially given the current form nuances of both squads.

    The tension in this matchup lies in the conflicting strengths and vulnerabilities of both teams. Yamagata's slight historical edge is counterbalanced by the similarly potent attacking statistics of Toyama. With the model setting the draw probability at 25%, the potential for a stalemate is a real consideration, particularly with the most likely scoreline being 1-1 at 12%.

    Weather conditions, with 3.4 mm of rain anticipated, might dampen the offensive output, yet the models still confidently suggest a 58% probability for over 2.5 goals. This implies that both teams could find the net, despite the adverse weather. The probability of both teams scoring sits at 61%, reinforcing this outlook.

    In terms of betting value, the odds for both teams are closely aligned, with a slight model lean towards Yamagata. This subtle favoritism, combined with their unbeaten status in head-to-heads, suggests a marginal tilt towards a home win, albeit with plenty of caution given the balanced nature of the fixture. The rain factor is already integrated into these numbers, so there's no need to overcomplicate the decision.

    For bettors seeking value, the draw at attractive odds could be enticing given the balanced probabilities and scoreline forecasts. However, the sharpest angle may lie in the over 2.5 goals market, where the model's 58% confidence suggests potential value when matched with odds above evens.

    Montedio YamagataMontedio Yamagata
    Form WLWWL
    Key players
    • Junya TakahashiFxG 0.38 · xT 0.00
    • Akira Silvano DisaroFxG 0.66 · xT 0.05
    • Ryoma KidaRWxG 0.13 · xT 0.19
    Kataller ToyamaKataller Toyama
    Form WLWLW
    Key players
    • Tsubasa YoshihiraFxG 0.60 · xT 0.32
    • Yoshiki TakahashiRWBxG 0.13 · xT 0.12
    • Sota FukazawaCBxG 0.02 · xT 0.21

    Match prediction: Montedio YamagataKataller Toyama

    Predicted score matrix

    Kataller Toyama
    Montedio Yamagata
    0
    1
    2
    3
    4+
    0
    0–05.3%
    0–16.9%
    0–25.3%
    0–32.6%
    0–4+1.3%
    1
    1–07.3%
    1–111.5%
    1–28.2%
    1–34.0%
    1–4+2.0%
    2
    2–05.9%
    2–18.6%
    2–26.3%
    2–33.1%
    2–4+1.5%
    3
    3–03.0%
    3–14.4%
    3–23.2%
    3–31.6%
    3–4+0.8%
    4+
    4+–01.6%
    4+–12.4%
    4+–21.8%
    4+–30.9%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.2-19%
    3. 3.1-28%
    4. 4.1-07%
    5. 5.0-17%
    Expected goals
    1,541,46
    Both teams to score
    61%

    Over/under goals

    Expected goals: 3,0
    Under 2,542%
    Over 2,558%

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Double chance Montedio Yamagata or draw (1X)64%
    • Over 1.5 goals80%

    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 Montedio Yamagata or draw (1X)64%
    • Over 2.5 goals58%
    • Ryoma Kida 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 score61%
    • Over 2.5 goals58%
    • Ryoma Kida to score20%
    • Shunsuke Tanimoto 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

    No odds available yet.

    Statistics

    Head-to-head

    2 matches
    Montedio Yamagata 1Draw 1Kataller Toyama 0
    Goals: 30 (⌀ 1,5)

    Head-to-head based on J2 League data since 2023.

    xG & xGA per match — 3-game rolling average

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

    Montedio Yamagata
    Kataller Toyama
    When goals are scored and conceded 2026
    Montedio Yamagata (83)
    Kataller Toyama (75)
    Pass networks

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

    Montedio Yamagata
    Riku Morioka: 264 passningar, xT 0.36MoriokaHayate Sugii: 256 passningar, xT 0.69SugiiRyotaro Nakamura: 247 passningar, xT 0.24NakamuraKiriya Sakamoto: 245 passningar, xT 0.52SakamotoTsubasa Terayama: 160 passningar, xT 0.4TerayamaRyusei Sato: 151 passningar, xT 0.18SatoRyoma Kida: 130 passningar, xT 0.76KidaShoma Doi: 103 passningar, xT 0.59DoiAyumu Kawai: 102 passningar, xT 0.49KawaiKazuma Okamoto: 84 passningar, xT 0.24OkamotoHiroya Nodake: 62 passningar, xT 0.03Nodake
    Kataller Toyama
    Woo-Young Jung: 296 passningar, xT 1.28JungShunsuke Tanimoto: 229 passningar, xT 0.39TanimotoSota Fukazawa: 201 passningar, xT 0.83FukazawaYoshiki Takahashi: 182 passningar, xT 0.32TakahashiShosei Okamoto: 173 passningar, xT 0.24OkamotoSho Fuseya: 172 passningar, xT 0.66FuseyaToshiki Hirao: 103 passningar, xT 0.13HiraoTae-won Kim: 84 passningar, xT 0.23KimTsubasa Yoshihira: 75 passningar, xT 0.43YoshihiraShimpei Nishiya: 75 passningar, xT 0.09NishiyaManato Furukawa: 63 passningar, xT 0Furukawa
    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.

    Montedio Yamagata
    Riku Morioka: 264 passningar, xT 0.36MoriokaHayate Sugii: 256 passningar, xT 0.69SugiiRyotaro Nakamura: 247 passningar, xT 0.24NakamuraKiriya Sakamoto: 245 passningar, xT 0.52SakamotoTsubasa Terayama: 160 passningar, xT 0.4TerayamaRyusei Sato: 151 passningar, xT 0.18SatoRyoma Kida: 130 passningar, xT 0.76KidaShoma Doi: 103 passningar, xT 0.59DoiAyumu Kawai: 102 passningar, xT 0.49KawaiKazuma Okamoto: 84 passningar, xT 0.24OkamotoHiroya Nodake: 62 passningar, xT 0.03Nodake
    Kataller Toyama
    Woo-Young Jung: 296 passningar, xT 1.28JungShunsuke Tanimoto: 229 passningar, xT 0.39TanimotoSota Fukazawa: 201 passningar, xT 0.83FukazawaYoshiki Takahashi: 182 passningar, xT 0.32TakahashiShosei Okamoto: 173 passningar, xT 0.24OkamotoSho Fuseya: 172 passningar, xT 0.66FuseyaToshiki Hirao: 103 passningar, xT 0.13HiraoTae-won Kim: 84 passningar, xT 0.23KimTsubasa Yoshihira: 75 passningar, xT 0.43YoshihiraShimpei Nishiya: 75 passningar, xT 0.09NishiyaManato Furukawa: 63 passningar, xT 0Furukawa
    The goalkeepersRyusei Sato (Montedio Yamagata)Toshiki Hirao (Kataller Toyama)
    Saves177
    Save %85%58%
    xG prevented69%74%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Montedio Yamagata vs Kataller Toyama according to our model?

    The model gives Montedio Yamagata a 39% win probability. Full 1X2 picture: Montedio Yamagata 39%, draw 25%, Kataller Toyama 36%.

    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 58% and under at 42%.

    Will both teams score?

    The probability of both teams scoring is 61% 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.