J1 LeagueAjinomoto Stadium, Tokyo22°59,5 mm9 km/h

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    FC TokyoFC TokyoBalanced & physical
    20
    Kyoto SangaKyoto SangaPossession control
    The model's lean: 1 · FC Tokyo (50%)Best value by the model: 2 · Kyoto Sanga @ 6.35 (+39 %)

    FC TokyoKyoto Sanga · J1 League

    1 · FC Tokyo 50%X 28%22% Kyoto Sanga · 2

    Analysis: FC TokyoKyoto Sanga

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

    The statistical model gives FC Tokyo a clear 50% chance of winning against Kyoto Sanga, with a 28% draw probability and 22% for the visitors. This analysis suggests the home team holds the upper hand. Despite Kyoto's historical success in this fixture, winning four of the last six, their current form and expected goals tell a different story. FC Tokyo's xPoints, xG, and xGA all lean in their favor, underlining their defensive solidity and attacking threat.

    Expected goals suggest a match leaning slightly toward the over, with FC Tokyo predicted to score 1.74 and Kyoto 1.04. These align with the most likely scorelines: 1-1, 1-0, and 2-1. The combination of a balanced Tokyo approach and Kyoto's possession control could keep the match tight. The weather, with over 55 mm of rain expected, might suppress scoring further, though this is accounted for in the model's numbers.

    The head-to-head should be approached with caution. While Kyoto Sanga has had the upper hand in recent meetings, the small sample size since 2023 suggests it may weigh less than current form indicators. FC Tokyo's ability to find a balance between physical play and tactical discipline makes them the side to lean towards, especially at home.

    However, bettors seeking value might consider Kyoto at odds of 4.9 with Betsafe, Betsson, or Nordicbet. The model estimates a 22% chance for an away win, offering a potential edge of 7%. While the likelihood of an upset remains low, the odds present a tempting proposition for those chasing a return on risk.

    Ultimately, FC Tokyo's form and statistical advantages make them the sensible bet, with a 1-0 or 2-1 win appearing most probable. But the value on Kyoto at long odds could attract the daring punter looking for a calculated risk.

    FC TokyoFC Tokyo
    Form LDWWD
    League ranking xG #5xGA #9xT #6xP/match #6Points #8
    Key players
    • Motoki NagakuraFxG 0.34 · xT 0.12
    • Marcelo Ryan Silvestre dos SantosFxG 0.53 · xT 0.17
    • Soma AnzaiRWxG 0.41 · xT 0.03
    Kyoto SangaKyoto Sanga
    Form LDLWD
    League ranking xG #16xGA #16xT #9xP/match #15Points #15
    Key players
    • Rafael Elias da Silva BatagliaFxG 0.37 · xT 0.05
    • Shinnosuke FukudaRWBxG 0.06 · xT 0.31
    • Ryuma NakanoCMxG 0.17 · xT 0.15
    Final score
    20
    The model called the outcome
    Predicted probabilities: FC Tokyo 50% · Draw 28% · Kyoto Sanga 22%

    How the bookmaker bet builders went

    The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.

    Matchresultat - Kyoto Sanga FCBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 15,55fair 18,65-17 %
    Miss
    Matchresultat - FC TokyoBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 5,06fair 6,71-25 %
    Miss

    Match prediction: FC TokyoKyoto Sanga

    Predicted score matrix

    Kyoto Sanga
    FC Tokyo
    0
    1
    2
    3
    4+
    0
    0–06.5%
    0–16.1%
    0–23.3%
    0–31.2%
    0–4+0.4%
    1
    1–010.4%
    1–111.5%
    1–25.8%
    1–32.0%
    1–4+0.7%
    2
    2–09.4%
    2–19.8%
    2–25.1%
    2–31.8%
    2–4+0.6%
    3
    3–05.5%
    3–15.7%
    3–23.0%
    3–31.0%
    3–4+0.3%
    4+
    4+–03.5%
    4+–13.7%
    4+–21.9%
    4+–30.7%
    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. 3.2-110%
    4. 4.2-09%
    5. 5.0-06%
    Expected goals
    1,741,04
    Both teams to score
    54%

    Over/under goals

    Expected goals: 2,8
    Under 2,547%
    @1.98
    Over 2,553%
    @1.72

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • FC Tokyo to win50%
    • Over 1.5 goals77%

    Combined probability

    43%

    Fair odds

    2.32

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

    02 · 3 legs

    Balanced

    • FC Tokyo to win50%
    • Over 2.5 goals53%
    • Marcelo Ryan Silvestre dos Santos 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 goals53%
    • Marcelo Ryan Silvestre dos Santos to score29%
    • João Pedro Mendes Santos to be booked24%

    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+).

    • 2 · Kyoto Sanga22% probability@6.35PinnacleEV+39%reference odds
    • X · Draw28% probability@4.69PinnacleEV+33%reference odds
    • 2 · Kyoto Sanga22% probability@4.90BetsafeEV+7%reference odds
    Bookmaker1 · FC TokyoX2 · Kyoto Sanga
    Betsafe1.62
    EV+ 2%
    3.60
    EV+ 7%
    4.90
    Betsson1.62
    EV+ 2%
    3.60
    EV+ 7%
    4.90
    Nordicbet1.62
    EV+ 2%
    3.60
    EV+ 7%
    4.90
    Pinnacle1.49
    EV+ 33%
    4.69
    EV+ 39%
    6.35

    Odds updated 6 Sept, 10:32

    Odds movement

    Market signal

    The market has moved clearly towards a FC Tokyo win since 2 September — the odds have shortened from 1.65 to 1.49 (−10%).

    1-10 %
    66 %56 %

    1.651.49

    X+18 %
    27 %17 %

    3.964.69

    2+28 %
    22 %12 %

    4.956.35

    Pinnacle · 10 recorded price levels · 02/09/2026 → 06/09/2026 · fixed scale 10 percentage points

    Statistics

    Head-to-head

    6 matches
    FC Tokyo 2Draw 0Kyoto Sanga 4
    Goals: 413 (⌀ 2,8)

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

    Key facts

    • Kyoto Sanga FC dominate this fixture historically: 4 wins to 2 in 6 meetings.
    xG & xGA per match — 3-game rolling average

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

    FC Tokyo
    Kyoto Sanga
    When goals are scored and conceded 2026
    FC Tokyo (98)
    Kyoto Sanga (79)
    Pass networks

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

    FC Tokyo
    Alexander Scholz: 307 passningar, xT 0.68ScholzTakahiro Ko: 226 passningar, xT 0.54KoKento Hashimoto: 201 passningar, xT 0.28HashimotoHayato Inamura: 189 passningar, xT 0.37InamuraSei Muroya: 138 passningar, xT 0.64MuroyaHirokazu Ishihara: 125 passningar, xT 0.65IshiharaSeung-Gyu Kim: 101 passningar, xT 0.1KimKein Sato: 92 passningar, xT 0.03SatoShion Homma: 91 passningar, xT 0.12HommaMotoki Nagakura: 85 passningar, xT 0.06NagakuraMasato Morishige: 73 passningar, xT 0.08Morishige
    Kyoto Sanga
    Shinnosuke Fukuda: 195 passningar, xT 1.14FukudaJoão Pedro Mendes Santos: 187 passningar, xT 0.54SantosWeverton Silva de Andrade: 167 passningar, xT 0.12AndradeKyo Sato: 160 passningar, xT 0.43SatoSung-Jun Yoon: 157 passningar, xT 0.14YoonYoshinori Suzuki: 139 passningar, xT 0.16SuzukiRafael Elias da Silva Bataglia: 80 passningar, xT 0.11BatagliaGakuji Ota: 78 passningar, xT 0.1OtaHaruki Arai: 60 passningar, xT 0.34AraiRyuma Nakano: 48 passningar, xT 0.3NakanoRen Kato: 46 passningar, xT 0.08Kato
    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.

    FC Tokyo
    Alexander Scholz: 307 passningar, xT 0.68ScholzTakahiro Ko: 226 passningar, xT 0.54KoKento Hashimoto: 201 passningar, xT 0.28HashimotoHayato Inamura: 189 passningar, xT 0.37InamuraSei Muroya: 138 passningar, xT 0.64MuroyaHirokazu Ishihara: 125 passningar, xT 0.65IshiharaSeung-Gyu Kim: 101 passningar, xT 0.1KimKein Sato: 92 passningar, xT 0.03SatoShion Homma: 91 passningar, xT 0.12HommaMotoki Nagakura: 85 passningar, xT 0.06NagakuraMasato Morishige: 73 passningar, xT 0.08Morishige
    Kyoto Sanga
    Shinnosuke Fukuda: 195 passningar, xT 1.14FukudaJoão Pedro Mendes Santos: 187 passningar, xT 0.54SantosWeverton Silva de Andrade: 167 passningar, xT 0.12AndradeKyo Sato: 160 passningar, xT 0.43SatoSung-Jun Yoon: 157 passningar, xT 0.14YoonYoshinori Suzuki: 139 passningar, xT 0.16SuzukiRafael Elias da Silva Bataglia: 80 passningar, xT 0.11BatagliaGakuji Ota: 78 passningar, xT 0.1OtaHaruki Arai: 60 passningar, xT 0.34AraiRyuma Nakano: 48 passningar, xT 0.3NakanoRen Kato: 46 passningar, xT 0.08Kato

    The teams in numbers

    PerformanceFC TokyoKyoto Sanga
    Points85
    xPoints7.95.3
    xG per match1.50.99
    xGA per match1.21.6
    xG within 8s of winning the ball0.390.34
    xGA within 8s of losing the ball0.480.29
    Playing styleFC TokyoKyoto Sanga
    Build-up efficiency0.290.32
    Field tilt0.520.53
    xT per match1.11
    xTA per match11.1
    Won balls, offensive half2323
    Pressing intensity0.220.22
    Pressing efficiency0.260.29
    Pressing efficiency, offensive half0.240.25
    Entries into the box per match1813
    Entries into the box against1516
    Pass completion %0.780.72
    Pass completion % under pressure0.740.69
    Passes per match383322
    Passes against per match360333
    Switches of play per match21.121.8
    Long balls per match2623
    Set piecesFC TokyoKyoto Sanga
    xG from free kicks00.13
    Corners per match3.22.2
    Corners against per match4.85.8
    xG per corner0.030.01
    xGA per corner against0.040.02
    First touch, offensive corners %0.250.27
    First touch, defensive corners %0.580.62
    OtherFC TokyoKyoto Sanga
    Throw-in control0.750.67
    The goalkeepersSeung-Gyu Kim (FC Tokyo)Gakuji Ota (Kyoto Sanga)
    Saves810
    Save %50%59%
    xG prevented15%29%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins FC Tokyo vs Kyoto Sanga according to our model?

    The model gives FC Tokyo a 50% win probability. Full 1X2 picture: FC Tokyo 50%, draw 28%, Kyoto Sanga 22%.

    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 53% and under at 47%.

    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.