Swiss Super LeagueKybunpark, St. Gallen13°10 km/h

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    St. GallenSt. GallenPossession control
    vs
    SionSionCounter-attacks & crosses
    The model's lean: 1 · St. Gallen (45%)Best value by the model: Under 3,5 @ 1.88 (+14 %)

    St. GallenSion · Swiss Super League

    1 · St. Gallen 45%X 26%29% Sion · 2

    Analysis: St. GallenSion

    Sofia Andersson · · The model's read on the match · How the predictions work

    Eight matches inform the head-to-head narrative between St. Gallen and Sion since 2023, with both sides claiming two victories and sharing four draws. While this historical balance paints no clear picture, the game promises to be tightly contested given the evenly split outcomes. However, focusing on the current form and expected metrics, the hosts have a slight advantage. St. Gallen's style of possession control contrasts with Sion's counter-attacking play, setting the stage for an intriguing tactical battle.

    In terms of season form, Sion holds a narrow points edge over their rivals, 12 to 10. But delve into the xG numbers, and the story shifts. St. Gallen edges their adversaries with superior xPoints and a marginally better xG and xGA per match. These statistics suggest that the hosts have been more efficient in creating and limiting chances, even if the points table doesn't reflect it. The model supports this, giving St. Gallen a 45% probability of victory compared to Sion's 29%.

    Sion's knack for finding the back of the net in 17 consecutive league matches is a testament to their attacking potency, bolstering the likelihood of both teams scoring. The expected goals tally leans towards an active encounter with St. Gallen at 1.72 and Sion at 1.46, which aligns with the over 2.5 goals probability standing at 62%.

    For bettors seeking value, the under 3.5 goals market offers a solid opportunity. Betsafe, Betsson, and Nordicbet all list this option at 1.82, with the model rating it at a 61% probability, translating to a notable 10% edge. The most likely scorelines of 1-1 (11%), 2-1 (9%), and 1-2 (8%) all suggest a competitive affair largely staying within these goal boundaries. Thus, a 2-1 victory for St. Gallen emerges as the conclusion, with the betting angle pointing firmly towards the unders.

    St. GallenSt. Gallen
    Form WDLLW
    League ranking xG #2xGA #6xT #7xP/match #2Points #4
    Key players
    • Aliou BaldeFxG 0.54 · xT 0.18
    • Leon FrokajFxG 0.34 · xT 0.11
    • Lukas DaschnerCAMxG 0.39 · xT 0.18
    SionSion
    Form WWLWW
    League ranking xG #3xGA #8xT #1xP/match #3Points #3
    Key players
    • Winsley BoteliFxG 0.71 · xT 0.07
    • Donat RrudhaniFxG 0.42 · xT 0.32
    • Ali KabacalmanCDMxG 0.02 · xT 0.21

    Match prediction: St. GallenSion

    Predicted score matrix

    Sion
    St. Gallen
    0
    1
    2
    3
    4+
    0
    0–04.4%
    0–15.7%
    0–24.4%
    0–32.2%
    0–4+1.1%
    1
    1–06.8%
    1–110.7%
    1–27.6%
    1–33.7%
    1–4+1.9%
    2
    2–06.1%
    2–19.0%
    2–26.6%
    2–33.2%
    2–4+1.6%
    3
    3–03.5%
    3–15.2%
    3–23.8%
    3–31.8%
    3–4+0.9%
    4+
    4+–02.2%
    4+–13.3%
    4+–22.4%
    4+–31.2%
    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. 4.1-07%
    5. 5.2-27%
    Expected goals
    1,721,46
    Both teams to score
    63%

    Over/under goals

    Expected goals: 3,2
    Under 2,538%
    @2.85EV+9%
    Over 2,562%
    @1.37

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • St. Gallen to win45%
    • Over 1.5 goals83%

    Combined probability

    37%

    Fair odds

    2.73

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

    02 · 3 legs

    Balanced

    • St. Gallen to win45%
    • Over 2.5 goals62%
    • Aliou Badara Balde to score19%

    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 goals62%
    • Aliou Badara Balde to score19%
    • Lukas Maria Görtler 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+).

    • Under 3.561% probability@1.88PinnacleEV+14%reference odds
    • Under 3.561% probability@1.82BetsafeEV+10%reference odds
    • Under 3.561% probability@1.82BetssonEV+10%reference odds
    Bookmaker1 · St. GallenX2 · Sion
    Betsafe2.083.603.00
    Betsson2.083.603.00
    Nordicbet2.083.603.00
    Pinnacle2.143.573.27

    Odds updated 11 Sept, 14:29

    Odds movement

    10 %
    47 %42 %

    2.142.14

    X+1 %
    29 %24 %

    3.543.57

    20 %
    31 %26 %

    3.283.27

    Pinnacle · 9 recorded price levels · 07/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    8 matches
    St. Gallen 2Draw 4Sion 2
    Goals: 1112 (⌀ 2,9)

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

    Key facts

    • Sion have scored in 17 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    St. Gallen
    Sion
    When goals are scored and conceded 2026
    St. Gallen (1211)
    Sion (1411)
    Pass networks

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

    St. Gallen
    Lukas Gortler: 153 passningar, xT 0.55GortlerChima Okoroji: 152 passningar, xT 0.7OkorojiJozo Stanic: 139 passningar, xT 0.04StanicLukas Daschner: 112 passningar, xT 0.53DaschnerHugo Vandermersch: 106 passningar, xT 0.34VandermerschLawrence Ati Zigi: 95 passningar, xT 0.13ZigiJoel Ruiz: 95 passningar, xT 0.08RuizChristian Witzig: 87 passningar, xT 0.42WitzigMihailo Stevanovic: 87 passningar, xT 0.22StevanovicColin Noah Kleine-Bekel: 74 passningar, xT 0.45Kleine-BekelEnoch Owusu: 57 passningar, xT 0.26Owusu
    Sion
    Ali Kabacalman: 354 passningar, xT 0.81KabacalmanJan Kronig: 262 passningar, xT 0.37KronigNuma Lavanchy: 239 passningar, xT 1.21LavanchyNoe Sow: 214 passningar, xT 0.63SowBaltazar Costa Rodrigues de Oliveira: 186 passningar, xT 0.7OliveiraMarquinhos Cipriano: 171 passningar, xT 1.2CiprianoDonat Rrudhani: 133 passningar, xT 0.9RrudhaniAnthony Racioppi: 119 passningar, xT 0.14RacioppiFode Sanassy Sylla: 95 passningar, xT -0.08SyllaIlyas Chouaref: 47 passningar, xT 0.73ChouarefTheo Berdayes: 39 passningar, xT 0.02Berdayes
    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.

    St. Gallen
    Lukas Gortler: 153 passningar, xT 0.55GortlerChima Okoroji: 152 passningar, xT 0.7OkorojiJozo Stanic: 139 passningar, xT 0.04StanicLukas Daschner: 112 passningar, xT 0.53DaschnerHugo Vandermersch: 106 passningar, xT 0.34VandermerschLawrence Ati Zigi: 95 passningar, xT 0.13ZigiJoel Ruiz: 95 passningar, xT 0.08RuizChristian Witzig: 87 passningar, xT 0.42WitzigMihailo Stevanovic: 87 passningar, xT 0.22StevanovicColin Noah Kleine-Bekel: 74 passningar, xT 0.45Kleine-BekelEnoch Owusu: 57 passningar, xT 0.26Owusu
    Sion
    Ali Kabacalman: 354 passningar, xT 0.81KabacalmanJan Kronig: 262 passningar, xT 0.37KronigNuma Lavanchy: 239 passningar, xT 1.21LavanchyNoe Sow: 214 passningar, xT 0.63SowBaltazar Costa Rodrigues de Oliveira: 186 passningar, xT 0.7OliveiraMarquinhos Cipriano: 171 passningar, xT 1.2CiprianoDonat Rrudhani: 133 passningar, xT 0.9RrudhaniAnthony Racioppi: 119 passningar, xT 0.14RacioppiFode Sanassy Sylla: 95 passningar, xT -0.08SyllaIlyas Chouaref: 47 passningar, xT 0.73ChouarefTheo Berdayes: 39 passningar, xT 0.02Berdayes

    The teams in numbers

    PerformanceSt. GallenSion
    Points1012
    xPoints9.79.4
    xG per match2.22.1
    xGA per match1.41.6
    xG within 8s of winning the ball0.530.35
    xGA within 8s of losing the ball0.340.3
    Playing styleSt. GallenSion
    Build-up efficiency0.330.33
    Field tilt0.580.55
    xT per match1.11.8
    xTA per match0.661.2
    Won balls, offensive half3526
    Pressing intensity0.230.24
    Pressing efficiency0.380.3
    Pressing efficiency, offensive half0.380.27
    Entries into the box per match2020
    Entries into the box against1516
    Pass completion %0.650.79
    Pass completion % under pressure0.630.74
    Passes per match277410
    Passes against per match260326
    Switches of play per match17.631.4
    Long balls per match3332
    Set piecesSt. GallenSion
    xG from free kicks0.120.02
    Corners per match7.36.5
    Corners against per match4.44
    xG per corner0.030.05
    xGA per corner against0.020.02
    First touch, offensive corners %0.450.54
    First touch, defensive corners %0.520.38
    OtherSt. GallenSion
    Throw-in control0.670.71
    The goalkeepersLawrence Ati Zigi (St. Gallen)Anthony Racioppi (Sion)
    Saves1216
    Save %57%59%
    xG prevented50%40%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins St. Gallen vs Sion according to our model?

    The model gives St. Gallen a 45% win probability. Full 1X2 picture: St. Gallen 45%, draw 26%, Sion 29%.

    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 62% and under at 38%.

    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.