J2 League21°2,4 mm7 km/h

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    Kataller ToyamaKataller Toyama
    vs
    Yokohama FCYokohama FC
    The model's lean: 1 · Kataller Toyama (49%)

    Kataller Toyama vs Yokohama FC · J2 League

    1 · Kataller Toyama 49%X 22%29% Yokohama FC · 2

    Analysis: Kataller ToyamaYokohama FC

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

    TEXT:

    Kataller Toyama's defense will be the focal point as they prepare to host Yokohama FC. Toyama's measured approach has kept them competitive in the J2 League, with a strong emphasis on defensive stability. Their model probability of 49% underscores their edge over the visitors, who sit at a 29% chance. While Yokohama can't be dismissed outright, the numbers tilt firmly toward the hosts.

    The expected goals tell a story of cautious optimism for Toyama. With an expected tally of 1.64 compared to Yokohama's 1.33, the hosts have the offensive edge. However, the most likely scorelines—1-1 at 12% and 2-1 at 9%—suggest a close match. The potential for a 1-0 win at 8% further highlights the possibility of a low-scoring affair, especially given the predicted weather conditions. With 14.4 mm of rain expected, goal-scoring chances could be harder to come by, though this is already factored into the model.

    Despite the rain, the over 2.5 goals probability sits at 57%, and a 60% chance of both teams finding the net. These figures indicate that goals are likely, even if the match isn't a high-scoring spectacle. The sample size of head-to-head meetings is small, which makes season form and expected goals more reliable indicators for this clash.

    For those seeking value, the model's lean towards Toyama suggests an opportunity. The combination of defensive control and slight offensive superiority makes Toyama the prudent choice. Ending the evening with a disciplined 2-1 win seems a plausible outcome, one that aligns with both statistical insights and current form.

    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
    Yokohama FCYokohama FC
    Form WWLDW
    Key players
    • Kaili ShimboLWxG 0.03 · xT 0.25
    • Lukian Araújo de AlmeidaFxG 0.46 · xT 0.05
    • Akiyuki YokoyamaLWxG 0.13 · xT 0.00

    Match prediction: Kataller ToyamaYokohama FC

    Predicted score matrix

    Yokohama FC
    Kataller Toyama
    0
    1
    2
    3
    4+
    0
    0–05.4%
    0–16.5%
    0–24.5%
    0–32.0%
    0–4+0.9%
    1
    1–08.0%
    1–111.5%
    1–27.5%
    1–33.3%
    1–4+1.5%
    2
    2–06.9%
    2–19.2%
    2–26.1%
    2–32.7%
    2–4+1.2%
    3
    3–03.8%
    3–15.0%
    3–23.3%
    3–31.5%
    3–4+0.7%
    4+
    4+–02.2%
    4+–13.0%
    4+–22.0%
    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. 3.1-08%
    4. 4.1-27%
    5. 5.2-07%
    Expected goals
    1,641,33
    Both teams to score
    60%

    Over/under goals

    Expected goals: 3,0
    Under 2,543%
    @2.10
    Over 2,557%
    @1.70

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Kataller Toyama to win49%
    • Over 1.5 goals80%

    Combined probability

    36%

    Fair odds

    2.76

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

    02 · 3 legs

    Balanced

    • Kataller Toyama to win49%
    • Over 2.5 goals57%
    • Shimpei Nishiya 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 score60%
    • Over 2.5 goals57%
    • Lukian Araújo de Almeida to score23%
    • Hinata Ogura 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 Toyama49% probability@2.70PinnacleEV+32%reference odds
    • 1 · Kataller Toyama49% probability@2.62BetsafeEV+28%reference odds
    • 1 · Kataller Toyama49% probability@2.62BetssonEV+28%reference odds
    Bookmaker1 · Kataller ToyamaX2 · Yokohama FC
    Betsafe
    EV+ 28%
    2.62
    3.352.35
    Betsson
    EV+ 28%
    2.62
    3.352.35
    Nordicbet
    EV+ 28%
    2.62
    3.352.35
    Pinnacle
    EV+ 32%
    2.70
    3.532.40

    Odds updated 19 Sept, 15:59

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Kataller Toyama
    Yokohama FC
    When goals are scored and conceded 2026
    Kataller Toyama (75)
    Yokohama FC (115)
    Pass networks

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

    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
    Yokohama FC
    Kyo Hosoi: 278 passningar, xT 0.7HosoiKaili Shimbo: 260 passningar, xT 1.09ShimboAkinori Ichikawa: 205 passningar, xT 0.14IchikawaLeo Takae: 191 passningar, xT 0.54TakaeHayato Sugita: 182 passningar, xT 0.31SugitaToma Murata: 120 passningar, xT 0.8MurataKatsuya Iwatake: 100 passningar, xT 0.22IwatakeTakuya Shimamura: 97 passningar, xT 0.26ShimamuraKota Yamada: 95 passningar, xT 0.13YamadaRyosuke Iwasaki: 81 passningar, xT 0.08IwasakiHinata Ogura: 80 passningar, xT 0.14Ogura
    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: 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
    Yokohama FC
    Kyo Hosoi: 278 passningar, xT 0.7HosoiKaili Shimbo: 260 passningar, xT 1.09ShimboAkinori Ichikawa: 205 passningar, xT 0.14IchikawaLeo Takae: 191 passningar, xT 0.54TakaeHayato Sugita: 182 passningar, xT 0.31SugitaToma Murata: 120 passningar, xT 0.8MurataKatsuya Iwatake: 100 passningar, xT 0.22IwatakeTakuya Shimamura: 97 passningar, xT 0.26ShimamuraKota Yamada: 95 passningar, xT 0.13YamadaRyosuke Iwasaki: 81 passningar, xT 0.08IwasakiHinata Ogura: 80 passningar, xT 0.14Ogura
    The goalkeepersToshiki Hirao (Kataller Toyama)Akinori Ichikawa (Yokohama FC)
    Saves717
    Save %58%77%
    xG prevented74%44%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Kataller Toyama vs Yokohama FC according to our model?

    The model gives Kataller Toyama a 49% win probability. Full 1X2 picture: Kataller Toyama 49%, draw 22%, Yokohama FC 29%.

    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 57% and under at 43%.

    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.