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    Montedio YamagataMontedio Yamagata
    vs
    Sagan TosuSagan Tosu
    The model's lean: 2 · Sagan Tosu (39%)Soft drawBest value by the model: Over 3,5 @ 3.25 (+10 %)

    Montedio Yamagata vs Sagan Tosu · J2 League

    1 · Montedio Yamagata 36%X 25%39% Sagan Tosu · 2

    Analysis: Montedio YamagataSagan Tosu

    Marcus Johansson · · Analysis from the match model · How the predictions work

    The odds lean slightly toward Sagan Tosu with a 39% probability, yet Montedio Yamagata's home advantage can't be overlooked. The hosts have shown resilience with a slight edge in expected goals at 1.49 compared to Tosu's 1.45. This suggests a tightly contested battle where both sides are likely to find the net. The model's probabilities reveal a slim margin, indicating that the match's outcome could hinge on fine margins and tactical adjustments.

    Yamagata's pressing game could be a decisive factor here. Their approach often disrupts opponents' build-up play, potentially capitalizing on any lapses from Tosu's defense. However, Tosu’s ability to exploit the flanks and switch play quickly might unsettle Yamagata's backline, making this a fascinating tactical duel. The expected goals being so close to equal reflects the balance and unpredictability in this matchup.

    With a 56% probability of over 2.5 goals and a 60% chance of both teams scoring, the numbers suggest a lively affair on the scoreline front. The most likely scenarios — whether it be a 1-1 deadlock or a slight 2-1 edge either way — reinforce the idea of a competitive game with multiple scoring opportunities. The small sample of two head-to-head matches offers limited insight, indicating neither team holds a psychological upper hand.

    Given the marginal differences in team probabilities and expected goals, the model's slight lean toward Sagan Tosu could be worth monitoring, though this is not a strong edge. The visitors’ ability on the wings and their capacity to counter swiftly might just tip the scales in their favor, despite Yamagata's solid home performances.

    Ultimately, the most compelling angle here is the over 2.5 goals market at 56%, suggesting that, while tight, there’s potential for a scoreline that pushes past the two-goal mark.

    Montedio YamagataMontedio Yamagata
    Form LWWLL
    Key players
    • Junya TakahashiFxG 0.38 · xT -0.01
    • Akira Silvano DisaroFxG 0.64 · xT 0.04
    • Hayate SugiiLWBxG 0.05 · xT 0.13
    Sagan TosuSagan Tosu
    Form DLDWL
    Key players
    • Kenta NishizawaLWxG 0.18 · xT 0.08
    • Rio HyonRWxG 0.24 · xT 0.05
    • Ayumu ToyodaCMxG 0.00 · xT 0.15

    Match prediction: Montedio YamagataSagan Tosu

    Predicted score matrix

    Sagan Tosu
    Montedio Yamagata
    0
    1
    2
    3
    4+
    0
    0–05.6%
    0–17.4%
    0–25.6%
    0–32.7%
    0–4+1.4%
    1
    1–07.5%
    1–111.8%
    1–28.3%
    1–34.0%
    1–4+2.0%
    2
    2–05.9%
    2–18.5%
    2–26.2%
    2–33.0%
    2–4+1.5%
    3
    3–02.9%
    3–14.2%
    3–23.1%
    3–31.5%
    3–4+0.7%
    4+
    4+–01.5%
    4+–12.2%
    4+–21.6%
    4+–30.8%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.2-18%
    3. 3.1-28%
    4. 4.1-08%
    5. 5.0-17%
    Expected goals
    1,491,45
    Both teams to score
    60%

    Over/under goals

    Expected goals: 2,9
    Under 2,544%
    @1.83
    Over 2,556%
    @1.93EV+7%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Sagan Tosu or draw (X2)62%
    • Over 1.5 goals79%

    Combined probability

    49%

    Fair odds

    2.04

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

    02 · 3 legs

    Balanced

    • Double chance Sagan Tosu or draw (X2)62%
    • Over 2.5 goals56%
    • Rio Hyon to score23%

    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 goals56%
    • Ryoma Kida to score23%
    • Ayumu Toyoda 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+).

    • Over 3.534% probability@3.25BetsafeEV+10%reference odds
    • Over 3.534% probability@3.25BetssonEV+10%reference odds
    • Over 3.534% probability@3.25NordicbetEV+10%reference odds
    Bookmaker1 · Montedio YamagataX2 · Sagan Tosu
    Betsafe2.653.302.38
    Betsson2.653.302.38
    Nordicbet2.653.302.38
    Pinnacle2.723.532.39

    Odds updated 19 Sept, 15:59

    Statistics

    Head-to-head

    2 matches
    Montedio Yamagata 1Draw 0Sagan Tosu 1
    Goals: 44 (⌀ 4)

    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
    Sagan Tosu
    When goals are scored and conceded 2026
    Montedio Yamagata (84)
    Sagan Tosu (76)
    Pass networks

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

    Montedio Yamagata
    Riku Morioka: 311 passningar, xT 0.44MoriokaKiriya Sakamoto: 279 passningar, xT 0.59SakamotoRyotaro Nakamura: 278 passningar, xT 0.38NakamuraHayate Sugii: 257 passningar, xT 0.52SugiiRyusei Sato: 159 passningar, xT 0.17SatoTsubasa Terayama: 134 passningar, xT 0.29TerayamaAyumu Kawai: 127 passningar, xT 0.76KawaiRyoma Kida: 115 passningar, xT 0.56KidaHiroya Nodake: 104 passningar, xT 0.04NodakeShoma Doi: 92 passningar, xT 0.56DoiHayate Shirowa: 61 passningar, xT 0.12Shirowa
    Sagan Tosu
    Kaito Abe: 273 passningar, xT 0.52AbeTatsunori Sakurai: 254 passningar, xT 0.46SakuraiShiva Tafari Nagasawa: 248 passningar, xT 0.33NagasawaAyumu Toyoda: 236 passningar, xT 0.66ToyodaSora Ogawa: 166 passningar, xT 0.26OgawaKenta Nishizawa: 149 passningar, xT 0.09NishizawaRyo Shiohama: 130 passningar, xT 0.1ShiohamaRio Hyon: 130 passningar, xT 0.15HyonManato Yoshida: 120 passningar, xT 0.23YoshidaRyota Izumori: 92 passningar, xT 0.11IzumoriHikaru Nakahara: 53 passningar, xT 0.33Nakahara
    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: 311 passningar, xT 0.44MoriokaKiriya Sakamoto: 279 passningar, xT 0.59SakamotoRyotaro Nakamura: 278 passningar, xT 0.38NakamuraHayate Sugii: 257 passningar, xT 0.52SugiiRyusei Sato: 159 passningar, xT 0.17SatoTsubasa Terayama: 134 passningar, xT 0.29TerayamaAyumu Kawai: 127 passningar, xT 0.76KawaiRyoma Kida: 115 passningar, xT 0.56KidaHiroya Nodake: 104 passningar, xT 0.04NodakeShoma Doi: 92 passningar, xT 0.56DoiHayate Shirowa: 61 passningar, xT 0.12Shirowa
    Sagan Tosu
    Kaito Abe: 273 passningar, xT 0.52AbeTatsunori Sakurai: 254 passningar, xT 0.46SakuraiShiva Tafari Nagasawa: 248 passningar, xT 0.33NagasawaAyumu Toyoda: 236 passningar, xT 0.66ToyodaSora Ogawa: 166 passningar, xT 0.26OgawaKenta Nishizawa: 149 passningar, xT 0.09NishizawaRyo Shiohama: 130 passningar, xT 0.1ShiohamaRio Hyon: 130 passningar, xT 0.15HyonManato Yoshida: 120 passningar, xT 0.23YoshidaRyota Izumori: 92 passningar, xT 0.11IzumoriHikaru Nakahara: 53 passningar, xT 0.33Nakahara
    The goalkeepersRyusei Sato (Montedio Yamagata)Ryota Izumori (Sagan Tosu)
    Saves1918
    Save %83%75%
    xG prevented65%50%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Montedio Yamagata vs Sagan Tosu according to our model?

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

    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 56% and under at 44%.

    Will both teams score?

    The probability of both teams scoring is 60% 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.