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    Sagan TosuSagan Tosu
    vs
    Fujieda MYFCFujieda MYFC
    The model's lean: 1 · Sagan Tosu (57%)Best value by the model: Over 3,5 @ 3.95 (+14 %)

    Sagan Tosu vs Fujieda MYFC · J2 League

    1 · Sagan Tosu 57%X 24%20% Fujieda MYFC · 2

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    Analysis: Sagan Tosu – Fujieda MYFC

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

    TEXT:

    Sagan Tosu's 57% win probability stands out despite their recent slump of three consecutive losses. The model still leans towards the hosts as favorites, suggesting that their underlying metrics remain solid. Expected goals favor Tosu at 1.68 compared to Fujieda's 1.03, indicating that the home side should generate more quality chances despite recent form.

    The small head-to-head sample, with just two matches since 2023, shows Tosu unbeaten against Fujieda with one win and one draw. While this record is not deeply significant due to its size, it does provide a psychological edge for the hosts. The most likely scoreline of 1-1 at 12% slightly surpasses the 11% for a 1-0 home win, reflecting the potential for a tighter contest. With both teams' probabilities to score hovering around 53%, goals may be on the cards, yet not in abundance.

    While a lean towards over 2.5 goals is present at 51%, it is barely more than a coin flip. The sharper play centers on Tosu's outright win, taking full advantage of the market's tempered expectations following their recent defeats.

    Sagan TosuSagan Tosu
    Form DWLLL
    Key players
    • Sora OgawaCBxG 0.03 · xT 0.11
    • Rio HyonRWxG 0.21 · xT 0.05
    • Ayumu ToyodaCMxG 0.02 · xT 0.16
    Fujieda MYFCFujieda MYFC
    Form WDLDD
    Key players
    • Yusuke KikuiFxG 0.06 · xT 0.14
    • Riyo KawamotoFxG 0.20 · xT 0.06
    • Uheiji UehataCMxG 0.04 · xT 0.03

    Match prediction: Sagan Tosu – Fujieda MYFC

    Predicted score matrix

    Fujieda MYFC →
    Sagan Tosu →
    0
    1
    2
    3
    4+
    0
    0–07.0%
    0–16.5%
    0–23.5%
    0–31.2%
    0–4+0.4%
    1
    1–010.9%
    1–111.9%
    1–25.9%
    1–32.0%
    1–4+0.6%
    2
    2–09.4%
    2–19.7%
    2–25.0%
    2–31.7%
    2–4+0.5%
    3
    3–05.3%
    3–15.4%
    3–22.8%
    3–31.0%
    3–4+0.3%
    4+
    4+–03.2%
    4+–13.3%
    4+–21.7%
    4+–30.6%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-011%
    3. 3.2-110%
    4. 4.2-09%
    5. 5.0-07%
    Expected goals
    1,68–1,03
    Both teams to score
    53%

    Over/under goals

    Expected goals: 2,7
    Under 2,549%
    @1.62
    Over 2,551%
    @2.18EV+11%

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Sagan Tosu to win57%
    • Over 1.5 goals76%

    Combined probability

    41%

    Fair odds

    2.41

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

    02 · 3 legs

    Balanced

    • Sagan Tosu to win57%
    • Over 2.5 goals51%
    • Daichi Suzuki to score26%

    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 score53%
    • Over 2.5 goals51%
    • Daichi Suzuki to score26%
    • Yuto Nagao to be booked18%

    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 3.529% probability@3.95BetsafeEV+14%reference odds
    • Over 3.529% probability@3.95NordicbetEV+14%reference odds
    • Over 2.551% probability@2.18BetsafeEV+11%reference odds
    Bookmaker1 · Sagan TosuX2 · Fujieda MYFC
    Betsafe
    EV+ 3%
    1.82
    3.403.85
    Nordicbet
    EV+ 3%
    1.82
    3.403.85

    Odds updated 4 Oct, 07:36

    Statistics

    Head-to-head

    2 matches
    Sagan Tosu 1Draw 1Fujieda MYFC 0
    Goals: 1–0 (⌀ 0,5)

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

    Key facts

    • Sagan Tosu have lost 3 in a row.
    xG & xGA per match — 3-game rolling average

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

    Sagan Tosu
    Fujieda MYFC
    When goals are scored and conceded — 2026
    Sagan Tosu (8–11)
    Fujieda MYFC (12–9)
    Pass networks

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

    Sagan Tosu
    Kaito Abe: 289 passningar, xT 0.73AbeAyumu Toyoda: 274 passningar, xT 0.98ToyodaShiva Tafari Nagasawa: 265 passningar, xT 0.76NagasawaTatsunori Sakurai: 221 passningar, xT 0.7SakuraiSora Ogawa: 183 passningar, xT 0.44OgawaKenta Nishizawa: 148 passningar, xT 0.18NishizawaRyo Shiohama: 133 passningar, xT 0.06ShiohamaManato Yoshida: 131 passningar, xT 0.66YoshidaRio Hyon: 127 passningar, xT 0.15HyonRyota Izumori: 99 passningar, xT 0.18IzumoriYuta Imazu: 81 passningar, xT -0.04Imazu
    Fujieda MYFC
    Keita Matsuda: 196 passningar, xT 0.23MatsudaYuto Nagao: 151 passningar, xT 0.46NagaoYuri Mori: 117 passningar, xT 0.39MoriYusuke Kikui: 111 passningar, xT 0.44KikuiShun Yoshida: 111 passningar, xT 0.21YoshidaUheiji Uehata: 93 passningar, xT -0.02UehataTakuya Okamoto: 90 passningar, xT 0.4OkamotoShota Suzuki: 85 passningar, xT 0.13SuzukiRyota Kajikawa: 82 passningar, xT 0.18KajikawaSo Nakagawa: 57 passningar, xT 0.23NakagawaTakaya Numata: 57 passningar, xT 0.22Numata
    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.

    Sagan Tosu
    Kaito Abe: 289 passningar, xT 0.73AbeAyumu Toyoda: 274 passningar, xT 0.98ToyodaShiva Tafari Nagasawa: 265 passningar, xT 0.76NagasawaTatsunori Sakurai: 221 passningar, xT 0.7SakuraiSora Ogawa: 183 passningar, xT 0.44OgawaKenta Nishizawa: 148 passningar, xT 0.18NishizawaRyo Shiohama: 133 passningar, xT 0.06ShiohamaManato Yoshida: 131 passningar, xT 0.66YoshidaRio Hyon: 127 passningar, xT 0.15HyonRyota Izumori: 99 passningar, xT 0.18IzumoriYuta Imazu: 81 passningar, xT -0.04Imazu
    Fujieda MYFC
    Keita Matsuda: 196 passningar, xT 0.23MatsudaYuto Nagao: 151 passningar, xT 0.46NagaoYuri Mori: 117 passningar, xT 0.39MoriYusuke Kikui: 111 passningar, xT 0.44KikuiShun Yoshida: 111 passningar, xT 0.21YoshidaUheiji Uehata: 93 passningar, xT -0.02UehataTakuya Okamoto: 90 passningar, xT 0.4OkamotoShota Suzuki: 85 passningar, xT 0.13SuzukiRyota Kajikawa: 82 passningar, xT 0.18KajikawaSo Nakagawa: 57 passningar, xT 0.23NakagawaTakaya Numata: 57 passningar, xT 0.22Numata
    The goalkeepersRyota Izumori (Sagan Tosu)Shun Yoshida (Fujieda MYFC)
    Saves2228
    Save %67%78%
    xG prevented41%69%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Sagan Tosu vs Fujieda MYFC according to our model?

    The model gives Sagan Tosu a 57% win probability. Full 1X2 picture: Sagan Tosu 57%, draw 24%, Fujieda MYFC 20%.

    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 51% and under at 49%.

    Will both teams score?

    The probability of both teams scoring is 53% 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.