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    Sagan TosuSagan Tosu
    vs
    Iwaki FCIwaki FC
    The model's lean: 1 · Sagan Tosu (51%)

    Sagan Tosu vs Iwaki FC · J2 League

    1 · Sagan Tosu 51%X 25%24% Iwaki FC · 2

    Analysis: Sagan TosuIwaki FC

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

    The market appears to have priced this match accurately, aligning with the statistical model. — this claim is unsupported by the given facts (no market odds provided) and should be removed. Similarly, the suggestion of "odds of 1.90 or higher" for BTTS is unsupported, as no market odds are given in the facts.

    Corrected TEXT:

    A 51% probability for the hosts, backed by a 1.60 expected goals (xG) figure compared to Iwaki's 1.12, suggests Sagan Tosu should have the upper hand. The numbers paint a clear picture: the home side holds a potential edge in this matchup. While Iwaki FC has been on a skid, losing three consecutive games, the small head-to-head sample since 2023 (just two games) indicates a slight advantage for Tosu, having won once and drawn the other.

    The most likely scorelines—1-1, 1-0, and 2-1—indicate a tight affair, with Sagan Tosu emerging as probable victors. The 51% chance of over 2.5 goals and a 54% likelihood for both teams to score hint at a competitive match, yet the model leans towards a more controlled game, perhaps a 1-0 or 2-1 finish for the hosts.

    Iwaki's form slump cannot be ignored. Their current trajectory suggests they are vulnerable, and this could be the opportunity Sagan Tosu needs to capitalize on home advantage. Yet, the 24% chance of an away win highlights that Iwaki is not without hope. They will be keen to reverse their fortunes and disrupt the home side's plans.

    Despite the odds and numbers favoring the hosts, the potential for a draw at 25% is notable. A 1-1 draw remains the most likely result according to the model, which suggests caution for those expecting a straightforward home win.

    For bettors seeking value, consider the both teams to score market. With a 54% likelihood, this angle may offer an interesting risk-reward balance, capitalizing on Iwaki's potential to break their losing streak by finding the net.

    Sagan TosuSagan Tosu
    Form WDLDW
    Key players
    • Toshiki TakahashiFxG 0.27 · xT 0.00
    • Rio HyonRWxG 0.22 · xT 0.02
    • Kaito AbeCBxG 0.10 · xT 0.07
    Iwaki FCIwaki FC
    Form WWLLL
    Key players
    • Naoki KumataFxG 0.42 · xT 0.04
    • Shun NakajimaLWxG 0.06 · xT 0.08
    • Atsuki YamanakaLWxG 0.23 · xT 0.12

    Match prediction: Sagan TosuIwaki FC

    Predicted score matrix

    Iwaki FC
    Sagan Tosu
    0
    1
    2
    3
    4+
    0
    0–06.9%
    0–17.0%
    0–24.1%
    0–31.5%
    0–4+0.5%
    1
    1–010.2%
    1–112.1%
    1–26.6%
    1–32.5%
    1–4+0.9%
    2
    2–08.5%
    2–19.5%
    2–25.3%
    2–32.0%
    2–4+0.7%
    3
    3–04.5%
    3–15.0%
    3–22.8%
    3–31.1%
    3–4+0.4%
    4+
    4+–02.6%
    4+–12.9%
    4+–21.6%
    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. 2.1-010%
    3. 3.2-19%
    4. 4.2-08%
    5. 5.0-17%
    Expected goals
    1,601,12
    Both teams to score
    54%

    Over/under goals

    Expected goals: 2,7
    Under 2,549%
    Over 2,551%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Sagan Tosu to win51%
    • Over 1.5 goals76%

    Combined probability

    38%

    Fair odds

    2.63

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

    02 · 3 legs

    Balanced

    • Sagan Tosu to win51%
    • Over 2.5 goals51%
    • Daichi Suzuki to score24%

    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 goals51%
    • Daichi Suzuki to score24%
    • Ryo Endo 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

    No odds available yet.

    Statistics

    Head-to-head

    2 matches
    Sagan Tosu 1Draw 1Iwaki FC 0
    Goals: 21 (⌀ 1,5)

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

    Key facts

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

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

    Sagan Tosu
    Iwaki FC
    When goals are scored and conceded 2026
    Sagan Tosu (75)
    Iwaki FC (49)
    Pass networks

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

    Sagan Tosu
    Kaito Abe: 256 passningar, xT 0.43AbeTatsunori Sakurai: 244 passningar, xT 0.38SakuraiShiva Tafari Nagasawa: 225 passningar, xT 0.33NagasawaSora Ogawa: 191 passningar, xT 0.35OgawaAyumu Toyoda: 183 passningar, xT 0.31ToyodaKenta Nishizawa: 133 passningar, xT 0.35NishizawaRio Hyon: 126 passningar, xT 0.04HyonManato Yoshida: 115 passningar, xT 0.24YoshidaRyo Shiohama: 102 passningar, xT 0.09ShiohamaRyota Izumori: 101 passningar, xT 0.11IzumoriNagi Matsumoto: 63 passningar, xT 0Matsumoto
    Iwaki FC
    Wataru Iwashita: 147 passningar, xT 0.22IwashitaHaruto Nakano: 124 passningar, xT 0.27NakanoDaiki Yamaguchi: 94 passningar, xT 0.28YamaguchiSoichiro Fukaminato: 90 passningar, xT 0.52FukaminatoShota Kofie: 71 passningar, xT 0.91KofieMasato Sasaki: 66 passningar, xT 0.19SasakiRyo Nishitani: 61 passningar, xT 0.39NishitaniRyota Nagaki: 58 passningar, xT 0.2NagakiShun Nakajima: 57 passningar, xT 0.17NakajimaShuto Okaniwa: 51 passningar, xT 0.07OkaniwaKaito Fujii: 46 passningar, xT 0.13Fujii
    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: 256 passningar, xT 0.43AbeTatsunori Sakurai: 244 passningar, xT 0.38SakuraiShiva Tafari Nagasawa: 225 passningar, xT 0.33NagasawaSora Ogawa: 191 passningar, xT 0.35OgawaAyumu Toyoda: 183 passningar, xT 0.31ToyodaKenta Nishizawa: 133 passningar, xT 0.35NishizawaRio Hyon: 126 passningar, xT 0.04HyonManato Yoshida: 115 passningar, xT 0.24YoshidaRyo Shiohama: 102 passningar, xT 0.09ShiohamaRyota Izumori: 101 passningar, xT 0.11IzumoriNagi Matsumoto: 63 passningar, xT 0Matsumoto
    Iwaki FC
    Wataru Iwashita: 147 passningar, xT 0.22IwashitaHaruto Nakano: 124 passningar, xT 0.27NakanoDaiki Yamaguchi: 94 passningar, xT 0.28YamaguchiSoichiro Fukaminato: 90 passningar, xT 0.52FukaminatoShota Kofie: 71 passningar, xT 0.91KofieMasato Sasaki: 66 passningar, xT 0.19SasakiRyo Nishitani: 61 passningar, xT 0.39NishitaniRyota Nagaki: 58 passningar, xT 0.2NagakiShun Nakajima: 57 passningar, xT 0.17NakajimaShuto Okaniwa: 51 passningar, xT 0.07OkaniwaKaito Fujii: 46 passningar, xT 0.13Fujii
    The goalkeepersRyota Izumori (Sagan Tosu)Masato Sasaki (Iwaki FC)
    Saves176
    Save %77%43%
    xG prevented50%17%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Sagan Tosu vs Iwaki FC according to our model?

    The model gives Sagan Tosu a 51% win probability. Full 1X2 picture: Sagan Tosu 51%, draw 25%, Iwaki FC 24%.

    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 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.