Swiss Super LeagueSt. Jakob-Park, Basel25°0,4 mm31 km/h

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    BaselBaselPossession control
    42
    ThunThunCounter-attacks & crosses
    The model's lean: 1 · Basel (45%)Best value by the model: 2 · Thun @ 4.09 (+22 %)

    BaselThun · Swiss Super League

    1 · Basel 45%X 25%30% Thun · 2

    Analysis: BaselThun

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

    Forty-five percent. That's the slender probability margin Basel clings to as they prepare to host Thun in the Swiss Super League. A number that, while favoring the home side, doesn’t scream dominance. Basel’s possession-based style will clash with Thun’s penchant for counter-attacks and crosses, setting the stage for a fascinating tactical battle. But the numbers hint at a more balanced affair than one might initially assume.

    Basel has seen mixed results in this fixture recently, with the head-to-head record since 2023 showing equal wins and losses in just four encounters. A small sample size, which, frankly, doesn’t weigh as heavily as current form and expected goals. Basel's xPoints advantage (3.3 vs 1.5) suggests they should have the upper hand, yet Thun’s higher xG per match (1.5 vs 1.3) indicates they might not be content to just sit back.

    Thun has been leaking goals with an xGA of 3.2 per match, a glaring defensive vulnerability Basel will aim to exploit. However, Thun's knack for creating chances quickly (xG within 8 seconds of winning the ball at 0.47) could catch Basel off guard, exploiting any complacency from the home side’s methodical buildup.

    Expect goals, with the model leaning 58% towards over 2.5. But the sharper angle is on the under 3.5 goals at 1.775 with Pinnacle, offering a juicy 13% edge. This aligns with Basel's control approach potentially stifling open play. While both teams are likely to find the net (61% both to score), a 1-1 or 2-1 scoreline seems plausible.

    For the more adventurous, the value on a Thun away win at 3.65 glimmers tantalizingly. At a 9% edge, it’s a bold punt, but one that acknowledges the fine margins and unpredictability inherent in this matchup.

    BaselBasel
    Form LLLWL
    League ranking xG #10xGA #1xT #8xP/match #2Points #7
    Key players
    • Nicolas VouillozLBxG 0.00 · xT 0.10
    • Philip OteleLWxG 0.34 · xT 0.16
    • Flavius David DaniliucCBxG 0.08 · xT 0.10
    ThunThun
    Form LLDWL
    League ranking xG #6xGA #12xT #9xP/match #12Points #8
    Key players
    • Marc GutbubFxG 0.59 · xT 0.04
    • Dorian DerbaciCAMxG 0.05 · xT 0.04
    • Lucien DahlerRWBxG 0.14 · xT 0.14
    Final score
    42
    The model called the outcome
    Predicted probabilities: Basel 45% · Draw 25% · Thun 30%

    Match prediction: BaselThun

    Predicted score matrix

    Thun
    Basel
    0
    1
    2
    3
    4+
    0
    0–05.1%
    0–16.7%
    0–25.1%
    0–32.5%
    0–4+1.2%
    1
    1–07.3%
    1–111.4%
    1–28.0%
    1–33.9%
    1–4+2.0%
    2
    2–06.0%
    2–18.7%
    2–26.4%
    2–33.1%
    2–4+1.5%
    3
    3–03.2%
    3–14.6%
    3–23.3%
    3–31.6%
    3–4+0.8%
    4+
    4+–01.8%
    4+–12.6%
    4+–21.9%
    4+–30.9%
    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. 3.1-28%
    4. 4.1-07%
    5. 5.0-17%
    Expected goals
    1,581,46
    Both teams to score
    61%

    Over/under goals

    Expected goals: 3,0
    Under 2,542%
    Over 2,558%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Basel or draw (1X)65%
    • Over 1.5 goals81%

    Combined probability

    53%

    Fair odds

    1.89

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

    02 · 3 legs

    Balanced

    • Double chance Basel or draw (1X)65%
    • Over 2.5 goals58%
    • Žan Celar to score26%

    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%
    • Žan Celar to score26%
    • Fabio Saiz Pennarossa 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 · Thun30% probability@4.09PinnacleEV+22%reference odds
    • Under 3.564% probability@1.82PinnacleEV+16%reference odds
    • X · Draw25% probability@4.35PinnacleEV+10%reference odds
    Bookmaker1 · BaselX2 · Thun
    Pinnacle1.78
    EV+ 10%
    4.35
    EV+ 22%
    4.09

    Odds updated 9 Aug, 04:51

    Odds movement

    Market signal

    The market has moved clearly towards a Basel win since 2 August — the odds have shortened from 1.94 to 1.78 (−8%).

    1-8 %
    56 %46 %

    1.941.78

    X+13 %
    28 %18 %

    3.864.35

    2+20 %
    31 %21 %

    3.414.09

    Pinnacle · 8 recorded price levels · 02/08/2026 → 09/08/2026 · fixed scale 10 percentage points

    Statistics

    Head-to-head

    4 matches
    Basel 2Draw 0Thun 2
    Goals: 87 (⌀ 3,8)

    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).

    Basel
    Thun
    When goals are scored and conceded 2026
    Basel (11)
    Thun (37)
    Pass networks

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

    Basel
    Akpe Victory Maduabuchukwu: 116 passningar, xT 0.08MaduabuchukwuFlavius David Daniliuc: 93 passningar, xT 0.17DaniliucKeigo Tsunemoto: 71 passningar, xT 0.35TsunemotoAbemly Silu Metinho: 64 passningar, xT -0.04MetinhoNicolas Vouilloz: 45 passningar, xT 0.09VouillozXherdan Shaqiri: 45 passningar, xT 0.25ShaqiriLudwig Simon Małachowski Thorell: 43 passningar, xT 0.43ThorellJonas Omlin: 28 passningar, xT 0.01OmlinPhilip Otele: 27 passningar, xT 0.21OteleColeen Louis: 27 passningar, xT 0LouisMirko Salvi: 25 passningar, xT -0.01Salvi
    Thun
    Jan Bamert: 76 passningar, xT 0.12BamertNicolas Sandro Bürgy: 74 passningar, xT 0.16BürgyNiklas Steffen: 46 passningar, xT -0.02SteffenLucien Dahler: 46 passningar, xT 0.28DahlerFabio Saiz Pennarossa: 43 passningar, xT 0.15PennarossaNassim-Othmane Zoukit: 36 passningar, xT 0.07ZoukitNico Maier: 32 passningar, xT 0.42MaierAshvin Balaruban: 30 passningar, xT 0.18BalarubanJustin Roth: 28 passningar, xT 0.01RothMichael Heule: 23 passningar, xT 0.05HeuleDorian Derbaci: 19 passningar, xT 0.03Derbaci
    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.

    Basel
    Akpe Victory Maduabuchukwu: 116 passningar, xT 0.08MaduabuchukwuFlavius David Daniliuc: 93 passningar, xT 0.17DaniliucKeigo Tsunemoto: 71 passningar, xT 0.35TsunemotoAbemly Silu Metinho: 64 passningar, xT -0.04MetinhoNicolas Vouilloz: 45 passningar, xT 0.09VouillozXherdan Shaqiri: 45 passningar, xT 0.25ShaqiriLudwig Simon Małachowski Thorell: 43 passningar, xT 0.43ThorellJonas Omlin: 28 passningar, xT 0.01OmlinPhilip Otele: 27 passningar, xT 0.21OteleColeen Louis: 27 passningar, xT 0LouisMirko Salvi: 25 passningar, xT -0.01Salvi
    Thun
    Jan Bamert: 76 passningar, xT 0.12BamertNicolas Sandro Bürgy: 74 passningar, xT 0.16BürgyNiklas Steffen: 46 passningar, xT -0.02SteffenLucien Dahler: 46 passningar, xT 0.28DahlerFabio Saiz Pennarossa: 43 passningar, xT 0.15PennarossaNassim-Othmane Zoukit: 36 passningar, xT 0.07ZoukitNico Maier: 32 passningar, xT 0.42MaierAshvin Balaruban: 30 passningar, xT 0.18BalarubanJustin Roth: 28 passningar, xT 0.01RothMichael Heule: 23 passningar, xT 0.05HeuleDorian Derbaci: 19 passningar, xT 0.03Derbaci

    The teams in numbers

    PerformanceBaselThun
    Points33
    xPoints3.31.5
    xG per match1.31.5
    xGA per match0.83.2
    xG within 8s of winning the ball0.360.47
    xGA within 8s of losing the ball0.090.4
    Playing styleBaselThun
    Build-up efficiency0.320.33
    Field tilt0.380.32
    xT per match10.95
    xTA per match0.962
    Won balls, offensive half2019
    Pressing intensity0.240.25
    Pressing efficiency0.280.33
    Pressing efficiency, offensive half0.340.35
    Entries into the box per match1413
    Entries into the box against1619
    Pass completion %0.750.7
    Pass completion % under pressure0.670.59
    Passes per match319250
    Passes against per match360354
    Switches of play per match3516.2
    Long balls per match2624
    Set piecesBaselThun
    xG from free kicks0.030.22
    Corners per match5.74.9
    Corners against per match7.18.4
    xG per corner0.030.01
    xGA per corner against0.010.02
    First touch, offensive corners %0.580.5
    First touch, defensive corners %0.470.53
    OtherBaselThun
    Throw-in control0.620.64
    The goalkeepersMirko Salvi (Basel)Niklas Steffen (Thun)
    Saves412
    Save %100%63%
    xG prevented100%39%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Basel vs Thun according to our model?

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

    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.