Swiss Super LeagueStockhorn Arena, Thun16°14 km/h

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    ThunThunCounter-attacks & crosses
    vs
    GrasshopperGrasshopperCounter-attacks & crosses
    The model's lean: 1 · Thun (51%)Best value by the model: Under 3,5 @ 1.75 (+7 %)

    ThunGrasshopper · Swiss Super League

    1 · Thun 51%X 25%24% Grasshopper · 2

    Analysis: ThunGrasshopper

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

    Grasshopper's ability to find the net in nine consecutive league matches highlights their offensive consistency, despite their lower probability of winning. Their counterattack and crossing strategy will be tested against Thun, a team that excels in a similar style at home. The hosts have historically been strong on their turf, winning 57% of their matches, which gives them a tangible edge in this encounter.

    The head-to-head record, albeit small with just three matches, leans heavily towards Thun, who remain undefeated against Grasshopper since 2023. The Swiss Super League's current standings show Thun slightly ahead on points, yet Grasshopper's superior expected goals per match and expected points suggest they could pose a significant threat.

    Both sides' preference for quick transitions and wide play could lead to an open game. However, the expected goals and model predictions paint a more nuanced picture. The most probable scoreline is a 1-1 draw, aligning with the 62% likelihood of both teams scoring. The data suggests a 61% chance for the match to exceed 2.5 goals, but the real betting value lies elsewhere.

    With a calculated under 3.5 goals estimate at odds of 1.65, available across Betsafe, Betsson, and Nordicbet, there’s a small EV+ opportunity here. While some might expect a high-scoring affair given both teams' attacking prowess, the under 3.5 market appears slightly mispriced. The model's 61% confidence in this outcome translates into a 1% edge — a subtle but noteworthy angle for punters looking to capitalize on tight margins in the Swiss Super League.

    ThunThun
    Form LLWDL
    League ranking xG #9xGA #12xT #9xP/match #12Points #7
    Key players
    • Marc GutbubFxG 0.47 · xT 0.00
    • Brighton LabeauFxG 0.31 · xT 0.17
    • Dorian DerbaciFxG 0.03 · xT 0.08
    GrasshopperGrasshopper
    Form LLLWD
    League ranking xG #5xGA #7xT #5xP/match #4Points #11
    Key players
    • Samuel Sebastian KrasniqiLWxG 0.31 · xT 0.39
    • Tim MeyerCDMxG 0.00 · xT 0.10
    • Nikolas MuciFxG 0.40 · xT 0.04

    Match prediction: ThunGrasshopper

    Predicted score matrix

    Grasshopper
    Thun
    0
    1
    2
    3
    4+
    0
    0–04.5%
    0–15.3%
    0–23.7%
    0–31.6%
    0–4+0.7%
    1
    1–07.4%
    1–110.6%
    1–26.8%
    1–33.0%
    1–4+1.3%
    2
    2–07.1%
    2–19.5%
    2–26.3%
    2–32.8%
    2–4+1.2%
    3
    3–04.4%
    3–15.8%
    3–23.8%
    3–31.7%
    3–4+0.8%
    4+
    4+–03.0%
    4+–14.0%
    4+–22.7%
    4+–31.2%
    4+–4+0.5%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-19%
    3. 3.1-07%
    4. 4.2-07%
    5. 5.1-27%
    Expected goals
    1,841,33
    Both teams to score
    62%

    Over/under goals

    Expected goals: 3,2
    Under 2,539%
    @2.58
    Over 2,561%
    @1.46

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Thun to win51%
    • Over 1.5 goals83%

    Combined probability

    42%

    Fair odds

    2.41

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

    02 · 3 legs

    Balanced

    • Thun to win51%
    • Over 2.5 goals61%
    • Brighton Andy Labeau Melchior to score36%

    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 score62%
    • Over 2.5 goals61%
    • Brighton Andy Labeau Melchior to score36%
    • Tim Meyer 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 3.561% probability@1.75PinnacleEV+7%reference odds
    • Under 3.561% probability@1.65BetsafeEV+1%reference odds
    • Under 3.561% probability@1.65BetssonEV+1%reference odds
    Bookmaker1 · ThunX2 · Grasshopper
    Betsafe1.753.803.95
    Betsson1.753.803.95
    Nordicbet1.753.803.95
    Pinnacle1.79
    EV+ 1%
    4.01
    4.03

    Odds updated 11 Sept, 14:29

    Odds movement

    1+3 %
    56 %51 %

    1.741.79

    X-2 %
    26 %21 %

    4.114.01

    2-4 %
    26 %21 %

    4.194.03

    Pinnacle · 10 recorded price levels · 06/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    3 matches
    Thun 2Draw 1Grasshopper 0
    Goals: 93 (⌀ 4)

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

    Key facts

    • Grasshopper have scored in 9 consecutive league matches.
    • Thun win 57% of their home matches all-time (21 played).
    xG & xGA per match — 3-game rolling average

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

    Thun
    Grasshopper
    When goals are scored and conceded 2026
    Thun (1117)
    Grasshopper (914)
    Pass networks

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

    Thun
    Jan Bamert: 211 passningar, xT 0.66BamertNicolas Sandro Bürgy: 169 passningar, xT 0.46BürgyNiklas Steffen: 125 passningar, xT 0.21SteffenNassim-Othmane Zoukit: 120 passningar, xT 0.45ZoukitJustin Roth: 119 passningar, xT 0.07RothFabio Saiz Pennarossa: 97 passningar, xT 0.19PennarossaFabio Fehr: 95 passningar, xT 0.22FehrLucien Dahler: 92 passningar, xT 0.46DahlerMarco Burki: 68 passningar, xT 0.18BurkiNico Maier: 54 passningar, xT 0.6MaierNils Reichmuth: 49 passningar, xT -0.26Reichmuth
    Grasshopper
    Simone Stroscio: 148 passningar, xT 0.82StroscioNico Rissi: 122 passningar, xT 0.6RissiSamuel Sebastian Krasniqi: 122 passningar, xT 1.17KrasniqiLuka Mikulić: 101 passningar, xT 0.05MikulićAmir Malush Abrashi: 97 passningar, xT 0.34AbrashiÓscar Clemente Mues: 91 passningar, xT 1.29MuesTim Meyer: 81 passningar, xT 0.13MeyerJustin Hammel: 55 passningar, xT 0.09HammelManex Gibelalde Mújika: 54 passningar, xT 0.44MújikaSamuele Bengondo: 49 passningar, xT 0.01BengondoImourane Hassane: 39 passningar, xT -0.01Hassane
    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
    Jan Bamert: 211 passningar, xT 0.66BamertNicolas Sandro Bürgy: 169 passningar, xT 0.46BürgyNiklas Steffen: 125 passningar, xT 0.21SteffenNassim-Othmane Zoukit: 120 passningar, xT 0.45ZoukitJustin Roth: 119 passningar, xT 0.07RothFabio Saiz Pennarossa: 97 passningar, xT 0.19PennarossaFabio Fehr: 95 passningar, xT 0.22FehrLucien Dahler: 92 passningar, xT 0.46DahlerMarco Burki: 68 passningar, xT 0.18BurkiNico Maier: 54 passningar, xT 0.6MaierNils Reichmuth: 49 passningar, xT -0.26Reichmuth
    Grasshopper
    Simone Stroscio: 148 passningar, xT 0.82StroscioNico Rissi: 122 passningar, xT 0.6RissiSamuel Sebastian Krasniqi: 122 passningar, xT 1.17KrasniqiLuka Mikulić: 101 passningar, xT 0.05MikulićAmir Malush Abrashi: 97 passningar, xT 0.34AbrashiÓscar Clemente Mues: 91 passningar, xT 1.29MuesTim Meyer: 81 passningar, xT 0.13MeyerJustin Hammel: 55 passningar, xT 0.09HammelManex Gibelalde Mújika: 54 passningar, xT 0.44MújikaSamuele Bengondo: 49 passningar, xT 0.01BengondoImourane Hassane: 39 passningar, xT -0.01Hassane

    The teams in numbers

    PerformanceThunGrasshopper
    Points75
    xPoints5.99.2
    xG per match1.41.7
    xGA per match2.31.5
    xG within 8s of winning the ball0.320.37
    xGA within 8s of losing the ball0.290.29
    Playing styleThunGrasshopper
    Build-up efficiency0.320.28
    Field tilt0.460.51
    xT per match0.941.2
    xTA per match1.41.4
    Won balls, offensive half2630
    Pressing intensity0.240.24
    Pressing efficiency0.350.32
    Pressing efficiency, offensive half0.310.29
    Entries into the box per match1616
    Entries into the box against1515
    Pass completion %0.710.66
    Pass completion % under pressure0.660.6
    Passes per match277260
    Passes against per match320342
    Switches of play per match26.613.7
    Long balls per match3826
    Set piecesThunGrasshopper
    xG from free kicks0.140.18
    Corners per match4.35.6
    Corners against per match6.16.3
    xG per corner0.030.06
    xGA per corner against0.050.02
    First touch, offensive corners %0.540.47
    First touch, defensive corners %0.540.63
    OtherThunGrasshopper
    Throw-in control0.690.64
    The goalkeepersNiklas Steffen (Thun)Justin Hammel (Grasshopper)
    Saves2611
    Save %61%48%
    xG prevented31%24%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Thun vs Grasshopper according to our model?

    The model gives Thun a 51% win probability. Full 1X2 picture: Thun 51%, draw 25%, Grasshopper 24%.

    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 62% 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.