J1 LeagueAjinomoto Stadium, Tokyo19°12 km/h

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    FC TokyoFC TokyoBalanced & physical
    vs
    Urawa RedsUrawa RedsLow block & direct
    The model's lean: 1 · FC Tokyo (51%)Best value by the model: X · Draw @ 4.10 (+16 %)

    FC Tokyo vs Urawa Reds · J1 League

    1 · FC Tokyo 51%X 28%20% Urawa Reds · 2

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    Analysis: FC Tokyo – Urawa Reds

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

    TEXT: FC Tokyo holds the upper hand in recent head-to-head meetings against Urawa Reds, winning three of their four encounters since 2023. While the sample size is small, it aligns with Tokyo's current form advantage, riding a wave of three consecutive victories into this match. Meanwhile, the visitors have struggled to find defensive solidity, which could prove decisive.

    The hosts’ recent streak is not an anomaly but rather a reflection of their prowess, having found the net in nine straight league fixtures. Their expected goals figure of 1.86 suggests that their offensive efficiency is likely to continue. Tokyo's balanced and physical style complements their defensive prowess, allowing them to control matches effectively. In contrast, Urawa’s preference for a low defensive block and direct play has not translated into defensive stability, as seen in their higher expected goals against per match of 1.5.

    Despite Urawa Reds' own scoring regularity—having netted in ten consecutive fixtures—they face a tough challenge against Tokyo’s organized defense. The Reds’ underwhelming model probability of 20% mirrors their season form and suggests a difficult outing. The expected goals tally for this matchup further highlights Tokyo's edge, pegging them at 1.86 compared to Urawa’s 1.03.

    The model leans heavily in favor of FC Tokyo, with a 51% probability of victory. While a 1-1 draw remains the most likely individual scoreline at 11%, Tokyo’s 1-0 or 2-1 outcomes are just as probable at 10% each. Over 2.5 goals and both teams to score sit at an intriguing 55% probability, but the real betting angle lies with backing Tokyo to win at home, where their form and style should see them through.

    FC TokyoFC Tokyo
    Form WDWWW
    League ranking xG #3xGA #5xT #7xP/match #4Points #5
    Key players
    • Motoki NagakuraFxG 0.46 · xT 0.09
    • Marcelo Ryan Silvestre dos SantosFxG 0.56 · xT 0.18
    • Kento HashimotoCMxG 0.12 · xT 0.12
    Urawa RedsUrawa Reds
    Form WWWLW
    League ranking xG #7xGA #11xT #6xP/match #10Points #10
    Key players
    • Ryoma WatanabeFxG 0.49 · xT 0.24
    • Takuro KanekoRWxG 0.07 · xT 0.36
    • Matheus SavioLWxG 0.37 · xT 0.12

    Match prediction: FC Tokyo – Urawa Reds

    Predicted score matrix

    Urawa Reds →
    FC Tokyo →
    0
    1
    2
    3
    4+
    0
    0–05.9%
    0–15.4%
    0–22.9%
    0–31.0%
    0–4+0.3%
    1
    1–010.0%
    1–111.0%
    1–25.5%
    1–31.9%
    1–4+0.6%
    2
    2–09.6%
    2–19.9%
    2–25.1%
    2–31.8%
    2–4+0.6%
    3
    3–06.0%
    3–16.1%
    3–23.2%
    3–31.1%
    3–4+0.3%
    4+
    4+–04.2%
    4+–14.4%
    4+–22.2%
    4+–30.8%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-010%
    3. 3.2-110%
    4. 4.2-010%
    5. 5.3-16%
    Expected goals
    1,86–1,03
    Both teams to score
    55%

    Over/under goals

    Expected goals: 2,9
    Under 2,545%
    @2.25EV+1%
    Over 2,555%
    @1.60

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • FC Tokyo to win51%
    • Over 1.5 goals79%

    Combined probability

    46%

    Fair odds

    2.16

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

    02 · 3 legs

    Balanced

    • FC Tokyo to win51%
    • Over 2.5 goals55%
    • Marcelo Ryan Silvestre dos Santos to score33%

    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 score55%
    • Over 2.5 goals55%
    • Marcelo Ryan Silvestre dos Santos to score33%
    • Tatsuki Seko 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+).

    • X · Draw28% probability@4.10LeoVegasEV+16%reference odds
    • X · Draw28% probability@4.05BetsafeEV+15%reference odds
    • X · Draw28% probability@4.05NordicbetEV+15%reference odds
    Bookmaker1 · FC TokyoX2 · Urawa Reds
    Betsafe1.65
    EV+ 15%
    4.05
    4.20
    LeoVegas1.67
    EV+ 16%
    4.10
    4.20
    Nordicbet1.65
    EV+ 15%
    4.05
    4.20

    Odds updated 4 Oct, 02:36

    Odds movement

    1-3 %
    57 %52 %

    1.73 → 1.67

    X-2 %
    25 %20 %

    4.20 → 4.10

    2+12 %
    26 %21 %

    3.75 → 4.20

    LeoVegas · 3 recorded price levels · 03/10/2026 → 04/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    FC Tokyo 3Draw 0Urawa Reds 1
    Goals: 9–6 (⌀ 3,8)

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

    Key facts

    • FC Tokyo come into this round on 3 straight wins.
    • FC Tokyo have scored in 9 consecutive league matches.
    • Urawa Reds have scored in 10 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    FC Tokyo
    Urawa Reds
    When goals are scored and conceded — 2026
    FC Tokyo (14–8)
    Urawa Reds (16–18)
    Pass networks

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

    FC Tokyo
    Alexander Scholz: 296 passningar, xT 0.91ScholzHayato Inamura: 228 passningar, xT 0.47InamuraTakahiro Ko: 209 passningar, xT 0.36KoKyota Tokiwa: 168 passningar, xT 0.05TokiwaKento Hashimoto: 160 passningar, xT 0.4HashimotoSeung-Gyu Kim: 125 passningar, xT 0.14KimSei Muroya: 122 passningar, xT 0.99MuroyaSoma Anzai: 96 passningar, xT 0.19AnzaiMotoki Nagakura: 82 passningar, xT -0.05NagakuraKein Sato: 72 passningar, xT 0.13SatoKashif Bangnagande: 67 passningar, xT 0.18Bangnagande
    Urawa Reds
    Yuta Miyamoto: 226 passningar, xT 0.45MiyamotoTatsuki Seko: 168 passningar, xT 0.4SekoKenta Nemoto: 142 passningar, xT 0.16NemotoHayate Ueki: 131 passningar, xT 0.28UekiMatheus Savio: 108 passningar, xT 0.5SavioDanilo Boza: 103 passningar, xT 0.06BozaYoichi Naganuma: 98 passningar, xT 0.33NaganumaTakuro Kaneko: 78 passningar, xT 1KanekoKaito Yasui: 70 passningar, xT 0.05YasuiRyoma Watanabe: 63 passningar, xT 0.34WatanabeShusaku Nishikawa: 58 passningar, xT 0.22Nishikawa
    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: 296 passningar, xT 0.91ScholzHayato Inamura: 228 passningar, xT 0.47InamuraTakahiro Ko: 209 passningar, xT 0.36KoKyota Tokiwa: 168 passningar, xT 0.05TokiwaKento Hashimoto: 160 passningar, xT 0.4HashimotoSeung-Gyu Kim: 125 passningar, xT 0.14KimSei Muroya: 122 passningar, xT 0.99MuroyaSoma Anzai: 96 passningar, xT 0.19AnzaiMotoki Nagakura: 82 passningar, xT -0.05NagakuraKein Sato: 72 passningar, xT 0.13SatoKashif Bangnagande: 67 passningar, xT 0.18Bangnagande
    Urawa Reds
    Yuta Miyamoto: 226 passningar, xT 0.45MiyamotoTatsuki Seko: 168 passningar, xT 0.4SekoKenta Nemoto: 142 passningar, xT 0.16NemotoHayate Ueki: 131 passningar, xT 0.28UekiMatheus Savio: 108 passningar, xT 0.5SavioDanilo Boza: 103 passningar, xT 0.06BozaYoichi Naganuma: 98 passningar, xT 0.33NaganumaTakuro Kaneko: 78 passningar, xT 1KanekoKaito Yasui: 70 passningar, xT 0.05YasuiRyoma Watanabe: 63 passningar, xT 0.34WatanabeShusaku Nishikawa: 58 passningar, xT 0.22Nishikawa

    The teams in numbers

    PerformanceFC TokyoUrawa Reds
    Points1712
    xPoints13.511.3
    xG per match1.71.5
    xGA per match1.11.5
    xG within 8s of winning the ball0.390.18
    xGA within 8s of losing the ball0.470.14
    Playing styleFC TokyoUrawa Reds
    Build-up efficiency0.290.32
    Field tilt0.530.49
    xT per match1.21.2
    xTA per match0.961.2
    Won balls, offensive half2327
    Pressing intensity0.220.23
    Pressing efficiency0.280.31
    Pressing efficiency, offensive half0.260.28
    Entries into the box per match1712
    Entries into the box against1315
    Pass completion %0.770.72
    Pass completion % under pressure0.730.68
    Passes per match381316
    Passes against per match355294
    Switches of play per match22.922.3
    Long balls per match2829
    Set piecesFC TokyoUrawa Reds
    xG from free kicks0.010.03
    Corners per match4.84.2
    Corners against per match4.75.1
    xG per corner0.020.02
    xGA per corner against0.030.06
    First touch, offensive corners %0.210.38
    First touch, defensive corners %0.680.66
    OtherFC TokyoUrawa Reds
    Throw-in control0.730.73
    The goalkeepersSeung-Gyu Kim (FC Tokyo)Shusaku Nishikawa (Urawa Reds)
    Saves1426
    Save %64%62%
    xG prevented24%58%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins FC Tokyo vs Urawa Reds according to our model?

    The model gives FC Tokyo a 51% win probability. Full 1X2 picture: FC Tokyo 51%, draw 28%, Urawa Reds 20%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 11% probability.

    Over or under 2.5 goals?

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

    Will both teams score?

    The probability of both teams scoring is 55% 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.