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    Kataller ToyamaKataller Toyama
    vs
    Tochigi CityTochigi City
    The model's lean: 1 · Kataller Toyama (62%)

    Kataller Toyama – Tochigi City · J2 League

    1 · Kataller Toyama 62%X 20%19% Tochigi City · 2

    Analysis: Kataller Toyama – Tochigi City

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

    TEXT:

    Kataller Toyama's attacking prowess is the cornerstone of this encounter. With expected goals of 2.04, Toyama's front line looks well-equipped to break down Tochigi's defense at home. This is reflected in their 62% win probability, making them clear favorites against a Tochigi City side struggling to find their footing.

    Tochigi's defensive woes are compounded by their underwhelming expected goals of 0.97. Their position as underdogs is further emphasized by their low win probability of 19%, suggesting that they might find it challenging to contain Toyama's attacking threats. Among the model's most likely scorelines, a 2-0 victory for the hosts is tied with 1-1 and 2-1 (each at 10%), underlining the defensive vulnerabilities Tochigi must address.

    The small head-to-head sample between these teams should be taken with a pinch of salt, as it doesn't offer a reliable narrative compared to current form and metrics. Despite a 54% chance for both teams to score, Tochigi's goal-scoring potential remains limited. The rain forecast for the match may slightly dampen attacking exploits, yet the model has already accounted for these conditions.

    Expect the match to lean towards the over 2.5 goals market at 58%. However, given Tochigi's modest scoring threat, the total might hinge heavily on Toyama's ability to capitalize on their chances. The hosts are likely to dominate proceedings and capitalize on defensive lapses.

    For punters seeking value, backing Kataller Toyama to win stands out as a potentially positive expected value (EV+) given the model's strong backing of the hosts. This could be the sharp play of the match, considering Toyama's firepower and Tochigi's struggles at the back.

    Kataller ToyamaKataller Toyama
    Form WWLWL
    Key players
    • Tsubasa YoshihiraFxG 0.72 · xT 0.38
    • Yoshiki TakahashiRWBxG 0.08 · xT 0.16
    • Sota FukazawaCBxG 0.02 · xT 0.24
    Tochigi CityTochigi City
    Form LWWL
    Key players
    • Atsushi YoshidaFxG 0.46 · xT 0.05
    • Ryo OkuiRWBxG 0.06 · xT 0.19
    • Kazuki NishiyaLWxG 0.09 · xT 0.27

    Match prediction: Kataller Toyama – Tochigi City

    Predicted score matrix

    Tochigi City →
    Kataller Toyama →
    0
    1
    2
    3
    4+
    0
    0–05.2%
    0–14.5%
    0–22.3%
    0–30.8%
    0–4+0.2%
    1
    1–09.7%
    1–110.1%
    1–24.8%
    1–31.5%
    1–4+0.5%
    2
    2–010.2%
    2–110.0%
    2–24.8%
    2–31.6%
    2–4+0.5%
    3
    3–06.9%
    3–16.8%
    3–23.3%
    3–31.1%
    3–4+0.3%
    4+
    4+–05.6%
    4+–15.5%
    4+–22.7%
    4+–30.9%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-010%
    2. 2.1-110%
    3. 3.2-110%
    4. 4.1-010%
    5. 5.3-07%
    Expected goals
    2,04–0,97
    Both teams to score
    54%

    Over/under goals

    Expected goals: 3,0
    Under 2,542%
    @2.00
    Over 2,558%
    @1.77EV+2%

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Kataller Toyama to win62%
    • Over 1.5 goals81%

    Combined probability

    52%

    Fair odds

    1.93

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

    02 · 3 legs

    Balanced

    • Kataller Toyama to win62%
    • Over 2.5 goals58%
    • Ayumu Kameda to score29%

    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 score54%
    • Over 2.5 goals58%
    • Ayumu Kameda to score29%
    • Shunsuke Tanimoto 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

    The model's value spots

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

    • 1 · Kataller Toyama62% probability@2.18PinnacleEV+34%reference odds
    • 1 · Kataller Toyama62% probability@2.12BetsafeEV+31%reference odds
    • 1 · Kataller Toyama62% probability@2.12BetssonEV+31%reference odds
    Bookmaker1 · Kataller ToyamaX2 · Tochigi City
    Betsafe
    EV+ 31%
    2.12    		3.303.05
    Betsson
    EV+ 31%
    2.12    		3.303.05
    Nordicbet
    EV+ 31%
    2.12    		3.303.05
    Pinnacle
    EV+ 34%
    2.18    		3.433.14

    Odds updated 6 Sept, 20:36

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Kataller Toyama
    Tochigi City
    When goals are scored and conceded — 2026
    Kataller Toyama (6–5)
    Tochigi City (9–6)
    Pass networks

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

    Kataller Toyama
    Woo-Young Jung: 230 passningar, xT 1.08JungShunsuke Tanimoto: 172 passningar, xT 0.25TanimotoSota Fukazawa: 165 passningar, xT 0.69FukazawaShosei Okamoto: 141 passningar, xT 0.21OkamotoYoshiki Takahashi: 138 passningar, xT 0.33TakahashiSho Fuseya: 138 passningar, xT 0.63FuseyaToshiki Hirao: 90 passningar, xT 0.13HiraoTae-won Kim: 72 passningar, xT 0.28KimShimpei Nishiya: 71 passningar, xT 0.09NishiyaTsubasa Yoshihira: 60 passningar, xT 0.42YoshihiraDaichi Matsuoka: 50 passningar, xT 0.57Matsuoka
    Tochigi City
    Hayato Teruyama: 148 passningar, xT 0.38TeruyamaMatej Jonjić: 145 passningar, xT 0.25JonjićJin-Hyeon Kim: 123 passningar, xT 0.21KimRyo Okui: 117 passningar, xT 0.65OkuiPedro Augusto Borges da Costa: 116 passningar, xT -0.06CostaKazuki Nishiya: 102 passningar, xT 0.88NishiyaYoshiki Sato: 89 passningar, xT 0.19SatoToshiki Mori: 85 passningar, xT 0.25MoriYuta Koike: 61 passningar, xT 0.18KoikeTokmac Chol Nguen: 45 passningar, xT 0.11NguenAtsushi Yoshida: 43 passningar, xT 0.06Yoshida
    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.

    Kataller Toyama
    Woo-Young Jung: 230 passningar, xT 1.08JungShunsuke Tanimoto: 172 passningar, xT 0.25TanimotoSota Fukazawa: 165 passningar, xT 0.69FukazawaShosei Okamoto: 141 passningar, xT 0.21OkamotoYoshiki Takahashi: 138 passningar, xT 0.33TakahashiSho Fuseya: 138 passningar, xT 0.63FuseyaToshiki Hirao: 90 passningar, xT 0.13HiraoTae-won Kim: 72 passningar, xT 0.28KimShimpei Nishiya: 71 passningar, xT 0.09NishiyaTsubasa Yoshihira: 60 passningar, xT 0.42YoshihiraDaichi Matsuoka: 50 passningar, xT 0.57Matsuoka
    Tochigi City
    Hayato Teruyama: 148 passningar, xT 0.38TeruyamaMatej Jonjić: 145 passningar, xT 0.25JonjićJin-Hyeon Kim: 123 passningar, xT 0.21KimRyo Okui: 117 passningar, xT 0.65OkuiPedro Augusto Borges da Costa: 116 passningar, xT -0.06CostaKazuki Nishiya: 102 passningar, xT 0.88NishiyaYoshiki Sato: 89 passningar, xT 0.19SatoToshiki Mori: 85 passningar, xT 0.25MoriYuta Koike: 61 passningar, xT 0.18KoikeTokmac Chol Nguen: 45 passningar, xT 0.11NguenAtsushi Yoshida: 43 passningar, xT 0.06Yoshida
    The goalkeepersToshiki Hirao (Kataller Toyama)Jin-Hyeon Kim (Tochigi City)
    Saves410
    Save %44%63%
    xG prevented55%30%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Kataller Toyama vs Tochigi City according to our model?

    The model gives Kataller Toyama a 62% win probability. Full 1X2 picture: Kataller Toyama 62%, draw 20%, Tochigi City 19%.

    What is the most likely scoreline?

    The model's most likely final score is 2-0 at 10% 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 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.