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    Fagiano OkayamaFagiano OkayamaPossession & high press
    vs
    Kyoto SangaKyoto SangaPossession control
    The model's lean: 1 · Fagiano Okayama (58%)

    Fagiano OkayamaKyoto Sanga · J1 League

    1 · Fagiano Okayama 58%X 26%17% Kyoto Sanga · 2

    Analysis: Fagiano OkayamaKyoto Sanga

    Marcus Johansson · · Analysis from the match model · How the predictions work

    FAKTA-based corrections needed:

    1. The text attributes the 1.68/0.80 xG figures to "this season's form," but per the facts these are match-specific expected goals, not the season xG per match stats (which are 1.2 vs 1.1). This conflates two different metrics. 2. The betting odds "1.72 with Bet365" are not supported by any fact provided and appear fabricated.

    CORRECTED TEXT:

    Fagiano Okayama's high pressing game could prove decisive against Kyoto Sanga's attempt to control possession. The model leans heavily towards Okayama with a 58% win probability, and the expected goals for this match back up this optimism. They have a solid xG of 1.68 compared to Kyoto's 0.80, indicating a more potent attack. The Okayama defense has also been more reliable this season, with an xGA of just 0.91 per match, effectively countering Sanga's more porous setup at 1.8.

    Kyoto's strategy of possession control might struggle against Okayama's relentless pressing. The hosts have shown they can disrupt possession-based teams, turning their high defensive work rate into offensive opportunities. This is a clash between the defensive discipline and aggression of Fagiano versus the more passive possession strategy of Kyoto. Given the visitors' less effective defense, Okayama seems well-positioned to exploit any gaps and force errors.

    The head-to-head record since 2023 is split, with both teams claiming a win each. However, this small sample size weighs less than the current form and expected goals, which distinctly favor Okayama. The most likely scorelines of 1-0 and 2-0 suggest a match where Okayama's defense could hold firm, while their attack capitalizes on Kyoto's vulnerabilities.

    The odds suggest a tighter game with a 45% probability of over 2.5 goals and a similar percentage for both teams to score. But with Okayama's defensive solidity and superior xG, the under 2.5 goals looks to be where the value lies. Given their form and the tactical matchup, Fagiano Okayama stands out as the favorite in this contest.

    Fagiano OkayamaFagiano Okayama
    Form WDLWW
    League ranking xG #14xGA #3xT #6xP/match #4Points #8
    Key players
    • Leonardo Andriel dos SantosFxG 0.23 · xT -0.01
    • Lucas Marcos MeirelesFxG 0.33 · xT 0.05
    • Sang Ho NaFxG 0.07 · xT 0.24
    Kyoto SangaKyoto Sanga
    Form DLWDL
    League ranking xG #16xGA #18xT #14xP/match #15Points #15
    Key players
    • Rafael Elias da Silva BatagliaFxG 0.50 · xT 0.08
    • Shinnosuke FukudaRWBxG 0.06 · xT 0.31
    • Ryuma NakanoCAMxG 0.14 · xT 0.10

    Match prediction: Fagiano OkayamaKyoto Sanga

    Predicted score matrix

    Kyoto Sanga
    Fagiano Okayama
    0
    1
    2
    3
    4+
    0
    0–08.7%
    0–16.4%
    0–22.7%
    0–30.7%
    0–4+0.2%
    1
    1–013.7%
    1–111.6%
    1–24.5%
    1–31.2%
    1–4+0.3%
    2
    2–011.8%
    2–19.5%
    2–23.8%
    2–31.0%
    2–4+0.2%
    3
    3–06.6%
    3–15.3%
    3–22.1%
    3–30.6%
    3–4+0.1%
    4+
    4+–04.1%
    4+–13.3%
    4+–21.3%
    4+–30.3%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-014%
    2. 2.2-012%
    3. 3.1-112%
    4. 4.2-19%
    5. 5.0-09%
    Expected goals
    1,680,80
    Both teams to score
    45%

    Over/under goals

    Expected goals: 2,5
    Under 2,555%
    Over 2,545%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Fagiano Okayama to win58%
    • Under 3.5 goals76%

    Combined probability

    42%

    Fair odds

    2.40

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

    02 · 3 legs

    Balanced

    • Fagiano Okayama to win58%
    • Under 2.5 goals55%
    • Lucas Marcos Meireles 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 score45%
    • Over 2.5 goals45%
    • Lucas Marcos Meireles to score24%
    • João Pedro Mendes Santos to be booked23%

    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
    Fagiano Okayama 1Draw 0Kyoto Sanga 1
    Goals: 25 (⌀ 3,5)

    Head-to-head based on J1 League data since 2023.

    xG & xGA per match — 3-game rolling average

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

    Fagiano Okayama
    Kyoto Sanga
    When goals are scored and conceded 2026
    Fagiano Okayama (87)
    Kyoto Sanga (711)
    Pass networks

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

    Fagiano Okayama
    Oberdan Alionço de Lima: 194 passningar, xT 0.49LimaHiroshi Omori: 147 passningar, xT 0.42OmoriEiji Miyamoto: 143 passningar, xT 0.6MiyamotoYugo Tatsuta: 126 passningar, xT 0.32TatsutaTowa Yamane: 107 passningar, xT 0.35YamaneAtaru Esaka: 96 passningar, xT 0.44EsakaYoshitake Suzuki: 96 passningar, xT 0.37SuzukiKosuke Shirai: 92 passningar, xT 0.27ShiraiSang Ho Na: 62 passningar, xT 0.53NaLennart Franklin Moser: 58 passningar, xT 0.15MoserSoichiro Mori: 52 passningar, xT 0.07Mori
    Kyoto Sanga
    João Pedro Mendes Santos: 167 passningar, xT 0.63SantosSung-Jun Yoon: 153 passningar, xT 0.2YoonYoshinori Suzuki: 151 passningar, xT 0.19SuzukiShinnosuke Fukuda: 146 passningar, xT 0.96FukudaKyo Sato: 133 passningar, xT 0.38SatoWeverton Silva de Andrade: 126 passningar, xT 0.14AndradeRyuma Nakano: 72 passningar, xT 0.29NakanoRafael Elias da Silva Bataglia: 68 passningar, xT 0.16BatagliaHaruki Arai: 58 passningar, xT 0.28AraiGakuji Ota: 50 passningar, xT 0.08OtaEverton Leandro de Oliveira Santos: 49 passningar, xT 0.22Santos
    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.

    Fagiano Okayama
    Oberdan Alionço de Lima: 194 passningar, xT 0.49LimaHiroshi Omori: 147 passningar, xT 0.42OmoriEiji Miyamoto: 143 passningar, xT 0.6MiyamotoYugo Tatsuta: 126 passningar, xT 0.32TatsutaTowa Yamane: 107 passningar, xT 0.35YamaneAtaru Esaka: 96 passningar, xT 0.44EsakaYoshitake Suzuki: 96 passningar, xT 0.37SuzukiKosuke Shirai: 92 passningar, xT 0.27ShiraiSang Ho Na: 62 passningar, xT 0.53NaLennart Franklin Moser: 58 passningar, xT 0.15MoserSoichiro Mori: 52 passningar, xT 0.07Mori
    Kyoto Sanga
    João Pedro Mendes Santos: 167 passningar, xT 0.63SantosSung-Jun Yoon: 153 passningar, xT 0.2YoonYoshinori Suzuki: 151 passningar, xT 0.19SuzukiShinnosuke Fukuda: 146 passningar, xT 0.96FukudaKyo Sato: 133 passningar, xT 0.38SatoWeverton Silva de Andrade: 126 passningar, xT 0.14AndradeRyuma Nakano: 72 passningar, xT 0.29NakanoRafael Elias da Silva Bataglia: 68 passningar, xT 0.16BatagliaHaruki Arai: 58 passningar, xT 0.28AraiGakuji Ota: 50 passningar, xT 0.08OtaEverton Leandro de Oliveira Santos: 49 passningar, xT 0.22Santos

    The teams in numbers

    PerformanceFagiano OkayamaKyoto Sanga
    Points105
    xPoints10.36.6
    xG per match1.21.1
    xGA per match0.911.8
    xG within 8s of winning the ball0.180.49
    xGA within 8s of losing the ball0.170.32
    Playing styleFagiano OkayamaKyoto Sanga
    Build-up efficiency0.320.32
    Field tilt0.540.49
    xT per match1.20.96
    xTA per match0.711.3
    Won balls, offensive half2923
    Pressing intensity0.220.23
    Pressing efficiency0.290.29
    Pressing efficiency, offensive half0.260.23
    Entries into the box per match1612
    Entries into the box against918
    Pass completion %0.690.71
    Pass completion % under pressure0.650.67
    Passes per match277300
    Passes against per match394366
    Switches of play per match15.419.7
    Long balls per match2522
    Set piecesFagiano OkayamaKyoto Sanga
    xG from free kicks0.010.11
    Corners per match5.72.5
    Corners against per match4.16
    xG per corner0.010.01
    xGA per corner against0.040.02
    First touch, offensive corners %0.370.27
    First touch, defensive corners %0.480.69
    OtherFagiano OkayamaKyoto Sanga
    Throw-in control0.680.7
    The goalkeepersLennart Franklin Moser (Fagiano Okayama)Hedhe Halls Rocha da Silva (Kyoto Sanga)
    Saves714
    Save %58%82%
    xG prevented26%63%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Fagiano Okayama vs Kyoto Sanga according to our model?

    The model gives Fagiano Okayama a 58% win probability. Full 1X2 picture: Fagiano Okayama 58%, draw 26%, Kyoto Sanga 17%.

    What is the most likely scoreline?

    The model's most likely final score is 1-0 at 14% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 45% and under at 55%.

    Will both teams score?

    The probability of both teams scoring is 45% 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.