Swiss Super LeagueKybunpark, St. Gallen10°5,4 mm19 km/h

    Läs på svenska
    St. GallenSt. GallenPossession & high press
    vs
    Lausanne SportLausanne SportPossession control
    The model's lean: 1 · St. Gallen (66%)Best value by the model: Under 2,5 @ 2.95 (+9 %)

    St. Gallen vs Lausanne Sport · Swiss Super League

    1 · St. Gallen 66%X 22%12% Lausanne Sport · 2

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    Analysis: St. Gallen – Lausanne Sport

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

    St. Gallen are strong favorites in their clash against Lausanne Sport, with a 66% probability of victory according to the model. This reflects not only their superior current season form but also their dominance in recent head-to-head encounters. Winning four out of the last six meetings since 2023, St. Gallen clearly have the historical edge, despite the small sample size. They are poised to control the game through their possession and high pressing style, which should put the visitors under significant pressure.

    Lausanne Sport's recent form is concerning, having lost their last three matches. Their possession control strategy may struggle against the hosts' aggressive pressing, potentially leading to turnovers in dangerous areas. With an expected goals (xG) figure of just 0.96 compared to St. Gallen's 2.29, Lausanne are likely to find scoring opportunities limited. The model's most likely scorelines of 2-0 and 2-1 in favor of the hosts reflect this discrepancy.

    Weather conditions, including 18.3 mm of rain, could suppress scoring, but the impact is already accounted for in the model's calculations. Despite this, the over 2.5 goals probability stands at 63%, suggesting a match with multiple goals due to the hosts' offensive prowess and the visitors' defensive vulnerabilities.

    St. Gallen's advantage is further highlighted by their xG and xPoints dominance. Their attacking output of 2.0 xG per match starkly contrasts with Lausanne's 0.82, underscoring their ability to create and capitalize on chances. Meanwhile, both teams concede 1.4 xGA per match, slightly favoring Lausanne, but not enough to shift the expected outcome dramatically.

    For bettors, the sharp angle lies with the under 3.5 goals at odds of 1.8 with LeoVegas, offering a 7% edge as rated by the model. Given the weather and Lausanne's scoring struggles, this line presents value for those looking to exploit the nuances of the matchup.

    St. GallenSt. Gallen
    Form LWLLW
    League ranking xG #3xGA #5xT #5xP/match #4Points #8
    Key players
    • Aliou BaldeFxG 0.46 · xT 0.21
    • Lukas GortlerCMxG 0.32 · xT 0.18
    • Leon FrokajFxG 0.30 · xT 0.10
    Lausanne SportLausanne Sport
    Form LDLLL
    League ranking xG #12xGA #4xT #12xP/match #12Points #12
    Key players
    • Kevin MouangaCBxG 0.03 · xT 0.04
    • Jamie RocheCMxG 0.03 · xT -0.01
    • Morgan PoatyLWBxG 0.01 · xT 0.12

    Match prediction: St. Gallen – Lausanne Sport

    Predicted score matrix

    Lausanne Sport →
    St. Gallen →
    0
    1
    2
    3
    4+
    0
    0–04.1%
    0–13.5%
    0–21.8%
    0–30.6%
    0–4+0.2%
    1
    1–08.7%
    1–18.8%
    1–24.1%
    1–31.3%
    1–4+0.4%
    2
    2–010.2%
    2–19.8%
    2–24.7%
    2–31.5%
    2–4+0.4%
    3
    3–07.8%
    3–17.4%
    3–23.6%
    3–31.1%
    3–4+0.3%
    4+
    4+–07.6%
    4+–17.3%
    4+–23.5%
    4+–31.1%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-010%
    2. 2.2-110%
    3. 3.1-19%
    4. 4.1-09%
    5. 5.3-08%
    Expected goals
    2,29–0,96
    Both teams to score
    56%

    Over/under goals

    Expected goals: 3,2
    Under 2,537%
    @2.95EV+9%
    Over 2,563%
    @1.35

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • St. Gallen to win66%
    • Over 1.5 goals84%

    Combined probability

    58%

    Fair odds

    1.72

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

    02 · 3 legs

    Balanced

    • St. Gallen to win66%
    • Over 2.5 goals63%
    • Lukas Stephan Horst Daschner to score28%

    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 score56%
    • Over 2.5 goals63%
    • Lukas Stephan Horst Daschner to score28%
    • Jamie John Roche 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 2.537% probability@2.95BetsafeEV+9%reference odds
    • Under 2.537% probability@2.95LeoVegasEV+9%reference odds
    • Under 2.537% probability@2.95NordicbetEV+9%reference odds
    Bookmaker1 · St. GallenX2 · Lausanne Sport
    Betsafe1.494.505.10
    LeoVegas1.50
    EV+ 1%
    4.60
    4.90
    Nordicbet1.494.505.10

    Odds updated 4 Oct, 16:36

    Odds movement

    1+1 %
    64 %59 %

    1.48 → 1.50

    X+2 %
    23 %18 %

    4.50 → 4.60

    20 %
    21 %16 %

    4.90 → 4.90

    LeoVegas · 2 recorded price levels · 03/10/2026 → 04/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    6 matches
    St. Gallen 4Draw 1Lausanne Sport 1
    Goals: 11–9 (⌀ 3,3)

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

    Key facts

    • St. Gallen dominate this fixture historically: 4 wins to 1 in 6 meetings.
    • A high-scoring fixture: 3.3 goals per meeting on average.
    • Lausanne Sport have lost 3 in a row.
    xG & xGA per match — 3-game rolling average

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

    St. Gallen
    Lausanne Sport
    When goals are scored and conceded — 2026
    St. Gallen (16–19)
    Lausanne Sport (7–15)
    Pass networks

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

    St. Gallen
    Colin Noah Kleine-Bekel: 175 passningar, xT 0.96Kleine-BekelChima Okoroji: 164 passningar, xT 0.83OkorojiJozo Stanic: 143 passningar, xT 0.32StanicLukas Daschner: 131 passningar, xT 0.97DaschnerMihailo Stevanovic: 119 passningar, xT 0.4StevanovicHugo Vandermersch: 103 passningar, xT 0.26VandermerschChristian Witzig: 86 passningar, xT 0.26WitzigLawrence Ati Zigi: 79 passningar, xT 0.15ZigiCarlo Boukhalfa: 63 passningar, xT 0.31BoukhalfaEnoch Owusu: 53 passningar, xT 0.21OwusuJoel Ruiz: 51 passningar, xT 0.09Ruiz
    Lausanne Sport
    Abdou Karim Sow: 197 passningar, xT 0.22SowMorgan Poaty: 146 passningar, xT 0.52PoatyFlorent Mollet: 130 passningar, xT 0.41MolletSékou Koné: 122 passningar, xT 0.27KonéBrandon Soppy: 115 passningar, xT 0.69SoppyOlivier da Costa Custodio: 113 passningar, xT 0.21CustodioMelvin Feyçal Mastil: 110 passningar, xT 0.18MastilNicolas Louis Marcel Cozza: 103 passningar, xT 0.18CozzaTheo Andreas Bergvall: 77 passningar, xT 0.12BergvallÉtienne Ludovic Youté Kinkoué: 71 passningar, xT 0.07KinkouéEnzo Anthony Honoré Molébé: 55 passningar, xT 0.13Molébé
    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
    Colin Noah Kleine-Bekel: 175 passningar, xT 0.96Kleine-BekelChima Okoroji: 164 passningar, xT 0.83OkorojiJozo Stanic: 143 passningar, xT 0.32StanicLukas Daschner: 131 passningar, xT 0.97DaschnerMihailo Stevanovic: 119 passningar, xT 0.4StevanovicHugo Vandermersch: 103 passningar, xT 0.26VandermerschChristian Witzig: 86 passningar, xT 0.26WitzigLawrence Ati Zigi: 79 passningar, xT 0.15ZigiCarlo Boukhalfa: 63 passningar, xT 0.31BoukhalfaEnoch Owusu: 53 passningar, xT 0.21OwusuJoel Ruiz: 51 passningar, xT 0.09Ruiz
    Lausanne Sport
    Abdou Karim Sow: 197 passningar, xT 0.22SowMorgan Poaty: 146 passningar, xT 0.52PoatyFlorent Mollet: 130 passningar, xT 0.41MolletSékou Koné: 122 passningar, xT 0.27KonéBrandon Soppy: 115 passningar, xT 0.69SoppyOlivier da Costa Custodio: 113 passningar, xT 0.21CustodioMelvin Feyçal Mastil: 110 passningar, xT 0.18MastilNicolas Louis Marcel Cozza: 103 passningar, xT 0.18CozzaTheo Andreas Bergvall: 77 passningar, xT 0.12BergvallÉtienne Ludovic Youté Kinkoué: 71 passningar, xT 0.07KinkouéEnzo Anthony Honoré Molébé: 55 passningar, xT 0.13Molébé

    The teams in numbers

    PerformanceSt. GallenLausanne Sport
    Points106
    xPoints11.78.2
    xG per match20.82
    xGA per match1.41.4
    xG within 8s of winning the ball0.440.15
    xGA within 8s of losing the ball0.30.32
    Playing styleSt. GallenLausanne Sport
    Build-up efficiency0.330.33
    Field tilt0.640.52
    xT per match1.40.85
    xTA per match0.631.1
    Won balls, offensive half3521
    Pressing intensity0.220.24
    Pressing efficiency0.360.32
    Pressing efficiency, offensive half0.360.24
    Entries into the box per match219
    Entries into the box against1314
    Pass completion %0.680.74
    Pass completion % under pressure0.630.69
    Passes per match300337
    Passes against per match275328
    Switches of play per match20.239.6
    Long balls per match3344
    Set piecesSt. GallenLausanne Sport
    xG from free kicks0.090.07
    Corners per match7.84.6
    Corners against per match3.84.8
    xG per corner0.020.02
    xGA per corner against0.020.04
    First touch, offensive corners %0.450.41
    First touch, defensive corners %0.520.42
    OtherSt. GallenLausanne Sport
    Throw-in control0.710.72
    The goalkeepersLawrence Ati Zigi (St. Gallen)Melvin Feyçal Mastil (Lausanne Sport)
    Saves2235
    Save %56%71%
    xG prevented34%41%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins St. Gallen vs Lausanne Sport according to our model?

    The model gives St. Gallen a 66% win probability. Full 1X2 picture: St. Gallen 66%, draw 22%, Lausanne Sport 12%.

    What is the most likely scoreline?

    The model's most likely final score is 2-0 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 63% and under at 37%.

    Will both teams score?

    The probability of both teams scoring is 56% 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.