Swiss Super LeagueStade de Tourbillon, Sion23°17 km/h

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    SionSionCounter-attacks & crosses
    32
    ThunThunLow block & direct
    The model's lean: 1 · Sion (50%)Best value by the model: 2 · Thun @ 4.52 (+10 %)

    SionThun · Swiss Super League

    1 · Sion 50%X 26%24% Thun · 2

    Analysis: SionThun

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

    FAKTA: Model probabilities: Sion 50%, draw 26%, Thun 24%. Model lean: Sion. Most likely scorelines: 1-1 (10%), 2-1 (9%), 2-0 (7%). Expected goals: Sion 2.00, Thun 1.37. Over 2.5 goals: 65%. Both teams to score: 65%. Playing style: Sion profiles as counter attack & crosses, Thun as low defence & direct. Sion have scored in 16 consecutive league matches. Head-to-head since 2023: 4 matches, Sion 1W 0D 3L. Points: Sion 9 vs Thun 7 (edge Sion) xPoints: Sion 7.5 vs Thun 5.1 (edge Sion) xG per match: Sion 2.0 vs Thun 1.3 (edge Sion) xGA per match: Sion 1.6 vs Thun 2.3 (edge Sion) Value (EV+): draw at odds 4.05 with Betsafe — the model rates it 26% (4% edge). Value (EV+): draw at odds 4.05 with Betsson — the model rates it 26% (4% edge). Value (EV+): draw at odds 4.05 with Nordicbet — the model rates it 26% (4% edge).

    Corrected TEXT: Sion's knack for finding the net in 16 consecutive league outings makes them a challenging prospect for any opponent, and their defensive solidity gives Thun little to work with. With expected goals heavily favoring the hosts at 2.00 to Thun's 1.37, and a consistent edge across points and expected points, Sion seems poised to dictate terms at home. However, the recent head-to-head record paints a different picture: Thun have triumphed in three of their last four meetings, albeit from a small sample.

    Sion's attacking prowess is matched by defensive solidity, as reflected by an average of 1.6 expected goals against per match, better than Thun's 2.3. Thun's more direct approach, coupled with a low defensive block, will need to work hard to find openings against that. Yet, with Thun's expected goals per match sitting at just 1.3, breaking down Sion's defense remains a challenging proposition.

    The model suggests a keen tilt towards Sion, particularly with a 50% win probability compared to Thun's 24%. The most likely scorelines, 1-1 and 2-1, echo the precarious balance between Sion's attack and Thun's resilience. Additionally, the over 2.5 goals probability at 65% suggests an open affair, despite Thun's typically reserved stance.

    Betting angles favoring a draw are intriguing, with Betsafe, Betsson, and Nordicbet offering odds of 4.05, presenting a 4% edge according to the model's 26% draw probability. While these odds provide value, the lean towards Sion suggests they might just edge it, potentially in a 2-1 fashion.

    In a match where Sion's attacking intent meets Thun's disciplined defense, the standout betting angle remains the value on a draw at 4.05 across multiple bookmakers. It might not be the most thrilling play, but it's the kind of calculated risk that could reward the patient bettor.

    SionSion
    Form LWWLW
    League ranking xG #3xGA #8xT #1xP/match #4Points #4
    Key players
    • Winsley BoteliFxG 0.87 · xT 0.08
    • Numa LavanchyRWBxG 0.04 · xT 0.41
    • Ali KabacalmanCDMxG 0.00 · xT 0.23
    ThunThun
    Form WLLWD
    League ranking xG #10xGA #12xT #10xP/match #12Points #7
    Key players
    • Marc GutbubFxG 0.47 · xT 0.00
    • Brighton LabeauFxG 0.30 · xT 0.12
    • Lucien DahlerRWBxG 0.11 · xT 0.19
    Final score
    32
    The model called the outcome
    Predicted probabilities: Sion 50% · Draw 26% · Thun 24%

    How the bookmaker bet builders went

    The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.

    Matchresultat - ThunBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 8,58fair 10,46-18 %
    Miss
    Matchresultat - SionBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 3,54fair 4,88-27 %
    Hit

    Match prediction: SionThun

    Predicted score matrix

    Thun
    Sion
    0
    1
    2
    3
    4+
    0
    0–03.7%
    0–14.4%
    0–23.2%
    0–31.5%
    0–4+0.7%
    1
    1–06.6%
    1–19.7%
    1–26.5%
    1–33.0%
    1–4+1.4%
    2
    2–06.9%
    2–19.4%
    2–26.5%
    2–33.0%
    2–4+1.4%
    3
    3–04.6%
    3–16.3%
    3–24.3%
    3–32.0%
    3–4+0.9%
    4+
    4+–03.6%
    4+–15.0%
    4+–23.4%
    4+–31.6%
    4+–4+0.7%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.2-19%
    3. 3.2-07%
    4. 4.1-07%
    5. 5.1-26%
    Expected goals
    2,001,37
    Both teams to score
    65%

    Over/under goals

    Expected goals: 3,4
    Under 2,535%
    @2.88
    Over 2,565%
    @1.37

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Sion to win50%
    • Over 1.5 goals85%

    Combined probability

    45%

    Fair odds

    2.22

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

    02 · 3 legs

    Balanced

    • Sion to win50%
    • Over 2.5 goals65%
    • Rilind Nivokazi 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 score65%
    • Over 2.5 goals65%
    • Rilind Nivokazi to score31%
    • Justin Roth to be booked23%

    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 · Thun24% probability@4.52PinnacleEV+10%reference odds
    • X · Draw26% probability@4.28PinnacleEV+10%reference odds
    • X · Draw26% probability@4.20Paddy PowerEV+8%reference odds
    Bookmaker1 · SionX2 · Thun
    Betfair Exchange1.571.111.11
    Betsafe1.65
    EV+ 1%
    3.95
    EV+ 2%
    4.20
    Betsson1.65
    EV+ 1%
    3.95
    EV+ 2%
    4.20
    Nordicbet1.65
    EV+ 1%
    3.95
    EV+ 2%
    4.20
    Paddy Power1.60
    EV+ 8%
    4.20
    EV+ 2%
    4.20
    Pinnacle1.71
    EV+ 10%
    4.28
    EV+ 10%
    4.52

    Odds updated 6 Sept, 11:36

    Odds movement

    1+2 %
    58 %53 %

    1.681.71

    X+3 %
    26 %21 %

    4.164.28

    20 %
    24 %19 %

    4.524.52

    Pinnacle · 14 recorded price levels · 04/09/2026 → 06/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Sion 1Draw 0Thun 3
    Goals: 34 (⌀ 1,8)

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

    Key facts

    • Sion have scored in 16 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    Sion
    Thun
    When goals are scored and conceded 2026
    Sion (119)
    Thun (914)
    Pass networks

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

    Sion
    Ali Kabacalman: 343 passningar, xT 0.71KabacalmanJan Kronig: 290 passningar, xT 0.42KronigNuma Lavanchy: 259 passningar, xT 1.77LavanchyNoe Sow: 230 passningar, xT 0.59SowBaltazar Costa Rodrigues de Oliveira: 221 passningar, xT 0.88OliveiraMarquinhos Cipriano: 141 passningar, xT 0.87CiprianoAnthony Racioppi: 124 passningar, xT 0.09RacioppiDonat Rrudhani: 123 passningar, xT 0.75RrudhaniFode Sanassy Sylla: 108 passningar, xT -0.07SyllaNias Hefti: 76 passningar, xT 0.42HeftiIlyas Chouaref: 66 passningar, xT 0.91Chouaref
    Thun
    Nicolas Sandro Bürgy: 208 passningar, xT 0.51BürgyJan Bamert: 199 passningar, xT 0.55BamertNiklas Steffen: 129 passningar, xT 0.16SteffenNassim-Othmane Zoukit: 121 passningar, xT 0.28ZoukitLucien Dahler: 113 passningar, xT 0.72DahlerFabio Saiz Pennarossa: 100 passningar, xT 0.2PennarossaJustin Roth: 99 passningar, xT 0.04RothNico Maier: 62 passningar, xT 0.66MaierFabio Fehr: 54 passningar, xT -0.22FehrNils Reichmuth: 37 passningar, xT -0.25ReichmuthDorian Derbaci: 33 passningar, xT 0.21Derbaci
    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.

    Sion
    Ali Kabacalman: 343 passningar, xT 0.71KabacalmanJan Kronig: 290 passningar, xT 0.42KronigNuma Lavanchy: 259 passningar, xT 1.77LavanchyNoe Sow: 230 passningar, xT 0.59SowBaltazar Costa Rodrigues de Oliveira: 221 passningar, xT 0.88OliveiraMarquinhos Cipriano: 141 passningar, xT 0.87CiprianoAnthony Racioppi: 124 passningar, xT 0.09RacioppiDonat Rrudhani: 123 passningar, xT 0.75RrudhaniFode Sanassy Sylla: 108 passningar, xT -0.07SyllaNias Hefti: 76 passningar, xT 0.42HeftiIlyas Chouaref: 66 passningar, xT 0.91Chouaref
    Thun
    Nicolas Sandro Bürgy: 208 passningar, xT 0.51BürgyJan Bamert: 199 passningar, xT 0.55BamertNiklas Steffen: 129 passningar, xT 0.16SteffenNassim-Othmane Zoukit: 121 passningar, xT 0.28ZoukitLucien Dahler: 113 passningar, xT 0.72DahlerFabio Saiz Pennarossa: 100 passningar, xT 0.2PennarossaJustin Roth: 99 passningar, xT 0.04RothNico Maier: 62 passningar, xT 0.66MaierFabio Fehr: 54 passningar, xT -0.22FehrNils Reichmuth: 37 passningar, xT -0.25ReichmuthDorian Derbaci: 33 passningar, xT 0.21Derbaci

    The teams in numbers

    PerformanceSionThun
    Points97
    xPoints7.55.1
    xG per match21.3
    xGA per match1.62.3
    xG within 8s of winning the ball0.420.36
    xGA within 8s of losing the ball0.340.34
    Playing styleSionThun
    Build-up efficiency0.330.32
    Field tilt0.580.42
    xT per match1.90.84
    xTA per match1.11.5
    Won balls, offensive half2724
    Pressing intensity0.230.24
    Pressing efficiency0.310.34
    Pressing efficiency, offensive half0.280.31
    Entries into the box per match2114
    Entries into the box against1515
    Pass completion %0.80.7
    Pass completion % under pressure0.750.64
    Passes per match436268
    Passes against per match328328
    Switches of play per match32.324.9
    Long balls per match3138
    Set piecesSionThun
    xG from free kicks0.030.1
    Corners per match5.64.3
    Corners against per match45.1
    xG per corner0.020.03
    xGA per corner against0.020.02
    First touch, offensive corners %0.610.45
    First touch, defensive corners %0.450.5
    OtherSionThun
    Throw-in control0.750.69
    The goalkeepersAnthony Racioppi (Sion)Niklas Steffen (Thun)
    Saves1423
    Save %61%62%
    xG prevented35%38%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Sion vs Thun according to our model?

    The model gives Sion a 50% win probability. Full 1X2 picture: Sion 50%, draw 26%, Thun 24%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 65% and under at 35%.

    Will both teams score?

    The probability of both teams scoring is 65% 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.