Swiss Super LeagueStockhorn Arena, Thun18°3,0 mm5 km/h

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    ThunThunCounter-attacks & crosses
    vs
    ServetteServettePossession control
    The model's lean: 1 · Thun (40%)

    ThunServette · Swiss Super League

    1 · Thun 40%X 26%34% Servette · 2

    Analysis: ThunServette

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

    Thun's remarkable 100% record in the three head-to-head clashes against Servette since 2023 adds a fascinating wrinkle to this matchup. Yet, don't let that small sample size fool you into overlooking Servette's superior xPoints and xGA numbers, which suggest they're the more robust team over the duration of the season. Thun, despite their home dominance historically, are up against it when weighed against Servette's calculated possession style.

    Thun claims the upper hand with a 60% win rate at home, but Servette's xG and xGA figures portray a side that, on paper, should have the defensive fortitude to frustrate Thun's counter-attacking instincts. Thun thrives on quick transitions, as evidenced by their xG within 8 seconds of winning the ball standing at 0.47 compared to Servette's 0.35. Servette, meanwhile, excels in controlling the game and limiting chances, reflected in their xGA of 1.3 per match versus Thun's concerning 3.3.

    Number-wise, a 1-1 draw appears the most likely outcome, carrying an 11% probability. Yet, the model's subtle lean towards Thun at 40% shouldn't be ignored, especially when there's evident value on offer. Betsafe, Betsson, and Nordicbet all list Thun at odds of 2.72, giving punters a 9% edge according to the model's valuation.

    Despite the forecasted 61% chance of over 2.5 goals, the expected goals from both sides hover around the 1.5 mark, hinting at a tight contest. Therefore, a 2-1 win for Thun, matching their playing style strengths against Servette's vulnerabilities, nudges the prediction scale slightly in their favor.

    For those eyeing a value bet, backing Thun to capitalize on their tactical nous and recent head-to-head success at odds of 2.72 offers a sharp angle. While not a sure thing, it's an enticing prospect where the model sees a calculated risk worth considering.

    ThunThun
    Form LDWLL
    League ranking xG #8xGA #12xT #9xP/match #12Points #8
    Key players
    • Marc GutbubFxG 0.46 · xT 0.00
    • Lucien DahlerRWBxG 0.10 · xT 0.12
    • Fabio Saiz PennarossaFxG 0.02 · xT 0.06
    ServetteServette
    Form WWLLW
    League ranking xG #7xGA #5xT #4xP/match #4Points #7
    Key players
    • Tiemoko OuattaraFxG 0.26 · xT 0.13
    • Florian AyéFxG 0.31 · xT 0.03
    • Samuel MrazFxG 0.66 · xT 0.02

    Match prediction: ThunServette

    Predicted score matrix

    Servette
    Thun
    0
    1
    2
    3
    4+
    0
    0–04.5%
    0–16.1%
    0–25.0%
    0–32.5%
    0–4+1.4%
    1
    1–06.5%
    1–110.8%
    1–28.1%
    1–34.2%
    1–4+2.2%
    2
    2–05.6%
    2–18.6%
    2–26.6%
    2–33.4%
    2–4+1.8%
    3
    3–03.0%
    3–14.7%
    3–23.6%
    3–31.8%
    3–4+1.0%
    4+
    4+–01.8%
    4+–12.8%
    4+–22.1%
    4+–31.1%
    4+–4+0.6%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-19%
    3. 3.1-28%
    4. 4.2-27%
    5. 5.1-07%
    Expected goals
    1,631,54
    Both teams to score
    63%

    Over/under goals

    Expected goals: 3,2
    Under 2,539%
    @2.40
    Over 2,561%
    @1.50

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Double chance Thun or draw (1X)64%
    • Over 1.5 goals83%

    Combined probability

    53%

    Fair odds

    1.88

    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 (1X)64%
    • Over 2.5 goals61%
    • Marc Gutbub to score20%

    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 score63%
    • Over 2.5 goals61%
    • Florian Ayé to score20%
    • Pedro Henrique Naressi Machado to be booked25%

    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+).

    • 1 · Thun40% probability@2.72BetsafeEV+9%reference odds
    • 1 · Thun40% probability@2.72BetssonEV+9%reference odds
    • 1 · Thun40% probability@2.72NordicbetEV+9%reference odds
    Bookmaker1 · ThunX2 · Servette
    Betsafe
    EV+ 9%
    2.72
    3.502.30
    Betsson
    EV+ 9%
    2.72
    3.502.30
    Nordicbet
    EV+ 9%
    2.72
    3.502.30

    Odds updated 17 Aug, 20:36

    Odds movement

    10 %
    36 %31 %

    2.722.72

    X0 %
    29 %24 %

    3.503.50

    20 %
    42 %37 %

    2.302.30

    Over 2,5+1 %
    65 %60 %

    1.481.50

    Betsson · 2 recorded price levels · 17/08/2026 → 17/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    3 matches
    Thun 3Draw 0Servette 0
    Goals: 72 (⌀ 3)

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

    Key facts

    • Thun win 60% of their home matches all-time (20 played).
    xG & xGA per match — 3-game rolling average

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

    Thun
    Servette
    When goals are scored and conceded 2026
    Thun (511)
    Servette (34)
    Pass networks

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

    Thun
    Nicolas Sandro Bürgy: 141 passningar, xT 0.27BürgyJan Bamert: 122 passningar, xT 0.21BamertNiklas Steffen: 84 passningar, xT 0.04SteffenFabio Saiz Pennarossa: 82 passningar, xT 0.12PennarossaLucien Dahler: 79 passningar, xT 0.36DahlerNassim-Othmane Zoukit: 70 passningar, xT 0.14ZoukitJustin Roth: 53 passningar, xT -0.01RothNico Maier: 41 passningar, xT 0.41MaierDorian Derbaci: 33 passningar, xT 0.21DerbaciMichael Heule: 33 passningar, xT 0.28HeuleAshvin Balaruban: 30 passningar, xT 0.18Balaruban
    Servette
    Timothe Cognat: 180 passningar, xT 0.58CognatMarco Burch: 144 passningar, xT 0.26BurchSteve Rouiller: 136 passningar, xT 0.28RouillerPedro Henrique Naressi Machado: 116 passningar, xT 0.18MachadoBradley Mazikou: 103 passningar, xT 0.19MazikouQuentin Maceiras Pralong: 70 passningar, xT 0.5PralongMiroslav Stevanovic: 67 passningar, xT 0.61StevanovicLilian Njoh: 66 passningar, xT 0.52NjohEdvinas Gertmonas: 56 passningar, xT 0.13GertmonasMathis Lambourde Frontier: 54 passningar, xT 0.23FrontierHouboulang Mendes: 39 passningar, xT 0.01Mendes
    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.

    Thun
    Nicolas Sandro Bürgy: 141 passningar, xT 0.27BürgyJan Bamert: 122 passningar, xT 0.21BamertNiklas Steffen: 84 passningar, xT 0.04SteffenFabio Saiz Pennarossa: 82 passningar, xT 0.12PennarossaLucien Dahler: 79 passningar, xT 0.36DahlerNassim-Othmane Zoukit: 70 passningar, xT 0.14ZoukitJustin Roth: 53 passningar, xT -0.01RothNico Maier: 41 passningar, xT 0.41MaierDorian Derbaci: 33 passningar, xT 0.21DerbaciMichael Heule: 33 passningar, xT 0.28HeuleAshvin Balaruban: 30 passningar, xT 0.18Balaruban
    Servette
    Timothe Cognat: 180 passningar, xT 0.58CognatMarco Burch: 144 passningar, xT 0.26BurchSteve Rouiller: 136 passningar, xT 0.28RouillerPedro Henrique Naressi Machado: 116 passningar, xT 0.18MachadoBradley Mazikou: 103 passningar, xT 0.19MazikouQuentin Maceiras Pralong: 70 passningar, xT 0.5PralongMiroslav Stevanovic: 67 passningar, xT 0.61StevanovicLilian Njoh: 66 passningar, xT 0.52NjohEdvinas Gertmonas: 56 passningar, xT 0.13GertmonasMathis Lambourde Frontier: 54 passningar, xT 0.23FrontierHouboulang Mendes: 39 passningar, xT 0.01Mendes

    The teams in numbers

    PerformanceThunServette
    Points33
    xPoints1.54.5
    xG per match1.61.6
    xGA per match3.31.3
    xG within 8s of winning the ball0.470.35
    xGA within 8s of losing the ball0.40.19
    Playing styleThunServette
    Build-up efficiency0.330.32
    Field tilt0.320.56
    xT per match0.961.4
    xTA per match21.1
    Won balls, offensive half1936
    Pressing intensity0.250.25
    Pressing efficiency0.330.31
    Pressing efficiency, offensive half0.30.26
    Entries into the box per match1323
    Entries into the box against1913
    Pass completion %0.70.76
    Pass completion % under pressure0.590.7
    Passes per match253365
    Passes against per match358279
    Switches of play per match16.419.2
    Long balls per match2430
    Set piecesThunServette
    xG from free kicks0.230.01
    Corners per match58
    Corners against per match8.54.5
    xG per corner0.010.01
    xGA per corner against0.020.03
    First touch, offensive corners %0.50.44
    First touch, defensive corners %0.530.57
    OtherThunServette
    Throw-in control0.640.73
    The goalkeepersNiklas Steffen (Thun)Edvinas Gertmonas (Servette)
    Saves155
    Save %58%63%
    xG prevented39%26%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Thun vs Servette according to our model?

    The model gives Thun a 40% win probability. Full 1X2 picture: Thun 40%, draw 26%, Servette 34%.

    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 61% and under at 39%.

    Will both teams score?

    The probability of both teams scoring is 63% 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.