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    Oita TrinitaOita Trinita
    vs
    Montedio YamagataMontedio Yamagata
    The model's lean: 2 · Montedio Yamagata (37%)Soft draw

    Oita Trinita vs Montedio Yamagata · J2 League

    1 · Oita Trinita 35%X 28%37% Montedio Yamagata · 2

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    Analysis: Oita Trinita – Montedio Yamagata

    Erik Lindberg · · Written from the model's numbers · How the predictions work

    TEXT:

    Montedio Yamagata's dominance in their matchups with Oita Trinita stands starkly at 5 wins out of 6 recent encounters. Yet, the visitors are currently in a troubling phase, having lost 3 consecutive matches. This tension between historical supremacy and recent form complicates the analysis, placing the focus firmly on whether Yamagata can break their losing streak.

    The model gives a slight edge to Montedio Yamagata at a 37% probability to win, compared to Oita's 35%. This narrow margin underscores a competitive clash, where the most likely outcome is a 1-1 draw at 13%, followed closely by a 0-1 away win at 11%. It's clear that neither team is expected to run away with the match, which points to a cautious, balanced affair on the pitch.

    Expected goals tell a similar story of near-parity, with Oita generating 1.17 and Yamagata 1.22. These figures suggest a match that may be light on scoring opportunities; hence, the over 2.5 goals probability of 43% leans towards a lower-scoring game. The prediction for both teams to find the net sits at 49%, indicating the potential for a tight contest where defenses could dominate.

    While the head-to-head record provides a psychological edge to Yamagata, the small sample size and their current slump render it less decisive than ongoing form and underlying metrics. The draw, therefore, emerges as a compelling outcome, aligning with both historical results and current conditions.

    Oita TrinitaOita Trinita
    Form WLDDD
    Key players
    • Shinya UtsumotoLWxG 0.08 · xT 0.16
    • Kotaro ArimaFxG 0.37 · xT -0.02
    • Matheus PereiraCBxG 0.09 · xT 0.09
    Montedio YamagataMontedio Yamagata
    Form WWLLL
    Key players
    • Junya TakahashiFxG 0.41 · xT -0.01
    • Hayate SugiiLWBxG 0.05 · xT 0.16
    • Akira Silvano DisaroFxG 0.59 · xT 0.04

    Match prediction: Oita Trinita – Montedio Yamagata

    Predicted score matrix

    Montedio Yamagata →
    Oita Trinita →
    0
    1
    2
    3
    4+
    0
    0–09.6%
    0–110.8%
    0–26.9%
    0–32.8%
    0–4+1.1%
    1
    1–010.3%
    1–113.5%
    1–28.0%
    1–33.3%
    1–4+1.3%
    2
    2–06.2%
    2–17.6%
    2–24.7%
    2–31.9%
    2–4+0.8%
    3
    3–02.4%
    3–13.0%
    3–21.8%
    3–30.7%
    3–4+0.3%
    4+
    4+–00.9%
    4+–11.1%
    4+–20.7%
    4+–30.3%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.0-111%
    3. 3.1-010%
    4. 4.0-010%
    5. 5.1-28%
    Expected goals
    1,17–1,22
    Both teams to score
    49%

    Over/under goals

    Expected goals: 2,4
    Under 2,557%
    @1.68
    Over 2,543%
    @2.12

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    01 · 2 legs

    Safe

    • Double chance Montedio Yamagata or draw (X2)66%
    • Under 3.5 goals78%

    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 (X2)66%
    • Under 2.5 goals57%
    • Ryoma Kida 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 score49%
    • Over 2.5 goals43%
    • Ryoma Kida to score23%
    • Keigo Sakakibara 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

    Bookmaker1 · Oita TrinitaX2 · Montedio Yamagata
    Betsafe2.803.052.42
    Betsson2.803.052.42
    Nordicbet2.803.052.42
    Pinnacle2.783.212.52

    Odds updated 26 Sept, 16:04

    Statistics

    Head-to-head

    6 matches
    Oita Trinita 0Draw 1Montedio Yamagata 5
    Goals: 1–14 (⌀ 2,5)

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

    Key facts

    • Montedio Yamagata dominate this fixture historically: 5 wins to 0 in 6 meetings.
    • Montedio Yamagata have lost 3 in a row.
    xG & xGA per match — 3-game rolling average

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

    Oita Trinita
    Montedio Yamagata
    When goals are scored and conceded — 2026
    Oita Trinita (6–5)
    Montedio Yamagata (8–6)
    Pass networks

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

    Oita Trinita
    Ayuki Miyakawa: 229 passningar, xT 0.74MiyakawaKoya Hayashida: 203 passningar, xT 0.19HayashidaMatheus Pereira: 201 passningar, xT 0.49PereiraYuto Misao: 170 passningar, xT 0.94MisaoShinya Utsumoto: 121 passningar, xT 0.79UtsumotoItsuki Oda: 110 passningar, xT 0.23OdaYasufumi Nishimura: 106 passningar, xT 0.12NishimuraKyung Gun Mun: 102 passningar, xT 0.32MunKeigo Sakakibara: 94 passningar, xT -0.01SakakibaraKotaro Arima: 47 passningar, xT -0.2ArimaManato Kimoto: 45 passningar, xT 0.2Kimoto
    Montedio Yamagata
    Kiriya Sakamoto: 336 passningar, xT 0.7SakamotoRiku Morioka: 314 passningar, xT 0.5MoriokaRyotaro Nakamura: 291 passningar, xT 0.32NakamuraHayate Sugii: 259 passningar, xT 0.73SugiiRyusei Sato: 177 passningar, xT 0.18SatoAyumu Kawai: 163 passningar, xT 0.81KawaiHiroya Nodake: 120 passningar, xT -0.02NodakeTsubasa Terayama: 118 passningar, xT 0.29TerayamaRyoma Kida: 105 passningar, xT 0.55KidaShoma Doi: 91 passningar, xT 0.56DoiJunya Takahashi: 51 passningar, xT -0.2Takahashi
    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.

    Oita Trinita
    Ayuki Miyakawa: 229 passningar, xT 0.74MiyakawaKoya Hayashida: 203 passningar, xT 0.19HayashidaMatheus Pereira: 201 passningar, xT 0.49PereiraYuto Misao: 170 passningar, xT 0.94MisaoShinya Utsumoto: 121 passningar, xT 0.79UtsumotoItsuki Oda: 110 passningar, xT 0.23OdaYasufumi Nishimura: 106 passningar, xT 0.12NishimuraKyung Gun Mun: 102 passningar, xT 0.32MunKeigo Sakakibara: 94 passningar, xT -0.01SakakibaraKotaro Arima: 47 passningar, xT -0.2ArimaManato Kimoto: 45 passningar, xT 0.2Kimoto
    Montedio Yamagata
    Kiriya Sakamoto: 336 passningar, xT 0.7SakamotoRiku Morioka: 314 passningar, xT 0.5MoriokaRyotaro Nakamura: 291 passningar, xT 0.32NakamuraHayate Sugii: 259 passningar, xT 0.73SugiiRyusei Sato: 177 passningar, xT 0.18SatoAyumu Kawai: 163 passningar, xT 0.81KawaiHiroya Nodake: 120 passningar, xT -0.02NodakeTsubasa Terayama: 118 passningar, xT 0.29TerayamaRyoma Kida: 105 passningar, xT 0.55KidaShoma Doi: 91 passningar, xT 0.56DoiJunya Takahashi: 51 passningar, xT -0.2Takahashi
    The goalkeepersKyung Gun Mun (Oita Trinita)Ryusei Sato (Montedio Yamagata)
    Saves2224
    Save %82%83%
    xG prevented81%69%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Oita Trinita vs Montedio Yamagata according to our model?

    The model gives Montedio Yamagata a 37% win probability. Full 1X2 picture: Oita Trinita 35%, draw 28%, Montedio Yamagata 37%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 13% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 43% and under at 57%.

    Will both teams score?

    The probability of both teams scoring is 49% 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.