Swiss Super LeagueLetzigrund, Zürich13°17,1 mm19 km/h

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    FC ZürichFC ZürichCounter-attacks & crosses
    vs
    ThunThunLow block & direct
    The model's lean: 2 · Thun (45%)Best value by the model: Under 2,5 @ 3.00 (+25 %)

    FC Zürich vs Thun · Swiss Super League

    1 · FC Zürich 30%X 25%45% Thun · 2

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    Analysis: FC Zürich – Thun

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

    Thun's 45% win probability stands out against Zurich's 30%, suggesting value in the visitors. Despite Zurich's slight point edge (11 to Thun’s 10), their form is less convincing with a 1-2 head-to-head record since 2023. The small sample size makes this less relevant than expected goals, which are nearly equal: Zurich 1.48, Thun 1.54. Both teams show vulnerabilities, with Zurich's more solid defensive profile slightly offset by Thun's stronger attack.

    The 58% probability of over 2.5 goals aligns with both teams’ offensive capabilities, but the rainy condition could dampen the scoring. Under 3.5 is priced at 1.85 with LeoVegas, offering a 19% value edge according to the model, and this is worth noting given the conditions. While Zurich’s counter-attack might find opportunities against Thun’s low defence, the visitors have shown resilience away from home.

    The betting angle sharpens with Thun’s away odds of 2.25 at LeoVegas providing a minimal 1% edge. The most likely scorelines edge towards a 1-1 or 1-2, suggesting that while Zurich has home advantage, Thun is the more probable victor. The under 3.5 goals market, however, presents the standout value play due to the weather’s potential impact.

    FC ZürichFC Zürich
    Form WLDWD
    League ranking xG #10xGA #8xT #7xP/match #9Points #6
    Key players
    • Philippe KenyFxG 0.48 · xT 0.07
    • Kevin SpadanudaFxG 0.09 · xT 0.06
    • Bledian KrasniqiCAMxG 0.14 · xT 0.11
    ThunThun
    Form DLLLW
    League ranking xG #8xGA #12xT #8xP/match #11Points #9
    Key players
    • Brighton LabeauFxG 0.26 · xT 0.17
    • Dorian DerbaciFxG 0.03 · xT 0.08
    • Fabio FehrRWBxG 0.11 · xT 0.27

    Match prediction: FC Zürich – Thun

    Predicted score matrix

    Thun →
    FC Zürich →
    0
    1
    2
    3
    4+
    0
    0–05.2%
    0–17.2%
    0–25.8%
    0–33.0%
    0–4+1.6%
    1
    1–06.9%
    1–111.4%
    1–28.6%
    1–34.4%
    1–4+2.4%
    2
    2–05.3%
    2–18.2%
    2–26.3%
    2–33.3%
    2–4+1.8%
    3
    3–02.6%
    3–14.1%
    3–23.1%
    3–31.6%
    3–4+0.9%
    4+
    4+–01.3%
    4+–12.1%
    4+–21.6%
    4+–30.8%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-29%
    3. 3.2-18%
    4. 4.0-17%
    5. 5.1-07%
    Expected goals
    1,48–1,54
    Both teams to score
    61%

    Over/under goals

    Expected goals: 3,0
    Under 2,542%
    @3.00EV+25%
    Over 2,558%
    @1.34

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Double chance Thun or draw (X2)64%
    • Over 1.5 goals81%

    Combined probability

    52%

    Fair odds

    1.94

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

    02 · 3 legs

    Balanced

    • Double chance Thun or draw (X2)64%
    • Over 2.5 goals58%
    • Brighton Andy Labeau Melchior to score31%

    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 score61%
    • Over 2.5 goals58%
    • Brighton Andy Labeau Melchior to score31%
    • Jan Alexandre Bamert to be booked22%

    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+).

    • Under 2.542% probability@3.00BetsafeEV+25%reference odds
    • Under 2.542% probability@3.00LeoVegasEV+25%reference odds
    • Under 2.542% probability@3.00NordicbetEV+25%reference odds
    Bookmaker1 · FC ZürichX2 · Thun
    Betsafe2.623.752.22
    LeoVegas2.603.85
    EV+ 1%
    2.25
    Nordicbet2.623.752.22
    Pinnacle2.783.87
    EV+ 3%
    2.29

    Odds updated 4 Oct, 18:36

    Statistics

    Head-to-head

    3 matches
    FC Zürich 1Draw 0Thun 2
    Goals: 4–9 (⌀ 4,3)

    Head-to-head based on Swiss Super League data since 2023.

    xG & xGA per match — 3-game rolling average

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

    FC Zürich
    Thun
    When goals are scored and conceded — 2026
    FC Zürich (14–20)
    Thun (15–23)
    Pass networks

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

    FC Zürich
    Lindrit Kamberi: 194 passningar, xT 0.36KamberiLeandro Schödler: 194 passningar, xT 0.31SchödlerBledian Krasniqi: 133 passningar, xT 0.53KrasniqiAlexander Hack: 132 passningar, xT 0.3HackSilas Huber: 128 passningar, xT 0.11HuberDoron Lichtenstein: 104 passningar, xT 0.77LichtensteinMiguel Reichmuth: 100 passningar, xT 0.84ReichmuthSebastian Walker: 84 passningar, xT 0.29WalkerKevin Spadanuda: 81 passningar, xT 0.06SpadanudaValon Berisha: 80 passningar, xT 0.11BerishaNeil Volken: 72 passningar, xT 0.82Volken
    Thun
    Jan Bamert: 253 passningar, xT 0.77BamertNassim-Othmane Zoukit: 191 passningar, xT 0.61ZoukitJustin Roth: 176 passningar, xT 0.13RothFabio Fehr: 140 passningar, xT 1.53FehrNiklas Steffen: 127 passningar, xT 0.2SteffenNicolas Sandro Bürgy: 102 passningar, xT 0.37BürgyTom Henning Strannegård: 89 passningar, xT 0.51StrannegårdMarco Burki: 76 passningar, xT 0.18BurkiFabio Saiz Pennarossa: 71 passningar, xT 0.11PennarossaNils Reichmuth: 69 passningar, xT 0.88ReichmuthLucien Dahler: 66 passningar, xT 0.42Dahler
    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 Zürich
    Lindrit Kamberi: 194 passningar, xT 0.36KamberiLeandro Schödler: 194 passningar, xT 0.31SchödlerBledian Krasniqi: 133 passningar, xT 0.53KrasniqiAlexander Hack: 132 passningar, xT 0.3HackSilas Huber: 128 passningar, xT 0.11HuberDoron Lichtenstein: 104 passningar, xT 0.77LichtensteinMiguel Reichmuth: 100 passningar, xT 0.84ReichmuthSebastian Walker: 84 passningar, xT 0.29WalkerKevin Spadanuda: 81 passningar, xT 0.06SpadanudaValon Berisha: 80 passningar, xT 0.11BerishaNeil Volken: 72 passningar, xT 0.82Volken
    Thun
    Jan Bamert: 253 passningar, xT 0.77BamertNassim-Othmane Zoukit: 191 passningar, xT 0.61ZoukitJustin Roth: 176 passningar, xT 0.13RothFabio Fehr: 140 passningar, xT 1.53FehrNiklas Steffen: 127 passningar, xT 0.2SteffenNicolas Sandro Bürgy: 102 passningar, xT 0.37BürgyTom Henning Strannegård: 89 passningar, xT 0.51StrannegårdMarco Burki: 76 passningar, xT 0.18BurkiFabio Saiz Pennarossa: 71 passningar, xT 0.11PennarossaNils Reichmuth: 69 passningar, xT 0.88ReichmuthLucien Dahler: 66 passningar, xT 0.42Dahler

    The teams in numbers

    PerformanceFC ZürichThun
    Points1110
    xPoints11.89.2
    xG per match1.41.5
    xGA per match1.82.3
    xG within 8s of winning the ball0.190.3
    xGA within 8s of losing the ball0.280.42
    Playing styleFC ZürichThun
    Build-up efficiency0.320.33
    Field tilt0.440.47
    xT per match1.21.1
    xTA per match1.31.4
    Won balls, offensive half2428
    Pressing intensity0.230.24
    Pressing efficiency0.280.34
    Pressing efficiency, offensive half0.250.32
    Entries into the box per match1316
    Entries into the box against1415
    Pass completion %0.710.71
    Pass completion % under pressure0.670.65
    Passes per match282286
    Passes against per match363307
    Switches of play per match31.925.4
    Long balls per match3837
    Set piecesFC ZürichThun
    xG from free kicks0.040.1
    Corners per match4.35.5
    Corners against per match55.5
    xG per corner0.040.02
    xGA per corner against0.030.07
    First touch, offensive corners %0.630.42
    First touch, defensive corners %0.520.52
    OtherFC ZürichThun
    Throw-in control0.630.7
    The goalkeepersHeinz Lindner (FC Zürich)Niklas Steffen (Thun)
    Saves1431
    Save %58%57%
    xG prevented48%30%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins FC Zürich vs Thun according to our model?

    The model gives Thun a 45% win probability. Full 1X2 picture: FC Zürich 30%, draw 25%, Thun 45%.

    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 58% and under at 42%.

    Will both teams score?

    The probability of both teams scoring is 61% 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.