Swiss Super League: Predictions, Odds & Tips

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    Model-based predictions for the Swiss Super League — Basel, Young Boys, Servette and the rest of the division, analysed by the same match model behind PlaymakerAI. Ahead of every round you get 1X2 probabilities, a full score matrix, expected goals and over/under lines, built from hundreds of data points per team.

    The predictions are compared against live odds, with positive expected value (EV+) flagged where the model’s probability beats the implied odds. Played matches are graded openly — hit or miss — and everything updates continuously until kickoff.

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    League table2026/27

    PosTeamPSW–D–LGF–GAxPxGxGAxGDFTStyle
    1Lugano2287–1–023711,613,311,0+2,354 %Possession control
    2Sion1886–0–2221312,516,112,5+3,650 %Counter-attacks & crosses
    3Young Boys1684–4–0281614,618,711,5+7,254 %Possession control
    4Basel1384–1–316149,39,011,0−2,045 %Balanced & physical
    5Servette1083–1–491012,212,511,4+1,148 %Possession control
    6St. Gallen1083–1–4131811,716,211,1+5,164 %Possession & high press
    7FC Zürich1083–1–4131910,79,713,0−3,342 %Counter-attacks & crosses
    8Luzern982–3–3121710,513,016,3−3,344 %Counter-attacks & crosses
    9Grasshopper882–2–4121912,414,213,2+1,051 %Possession control
    10Thun782–1–513227,612,018,4−6,449 %Possession control
    11Vaduz682–0–6171910,814,014,5−0,547 %Counter-attacks & crosses
    12Lausanne Sport681–3–47118,26,611,0−4,452 %Possession control

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    How the predictions work

    Every prediction comes from PlaymakerAI's match model — the same data platform professional clubs use for scouting and match analysis. The model is trained on event data from hundreds of thousands of matches and weighs over 200 factors per team: strength ratings, current form, playing style, squad player profiles, fixture congestion, travel and even matchday weather.

    For each fixture the model produces a full goal distribution. From it we derive the 1X2 probabilities, the score matrix, expected goals, over/under lines and both-teams-to-score. Predictions are frozen before kickoff and never changed afterwards — once a match finishes we grade it openly, hit or miss.

    Odds are collected continuously from several bookmakers. When the model's probability for an outcome exceeds what the odds imply, we flag it as value (EV+). That is the model's assessment, not a guarantee: even positive-EV bets lose often. Gamble responsibly.

    Swiss Super League FAQ

    Where do I find Swiss Super League predictions?

    Right here: every match in the Swiss Super League has its own analysis with 1X2 probabilities, most likely scoreline, over/under and value against current odds. Pick a match from the upcoming list — predictions are refreshed before every round and graded openly afterwards.

    How are the Swiss Super League predictions made?

    Each match is replayed thousands of times in the model using hundreds of metrics per team — expected goals, pressing, expected threat, field tilt, form and squad. The output is a probability for every scoreline, which is then compared with bookmaker odds to find value.

    What is the xP table?

    xP means expected points: how many points each team should have taken given the quality of chances created and conceded. The gap between xP and the real table shows which the Swiss Super League teams are over- and underrated right now.

    Which teams play in Swiss Super League 2026/27?

    Swiss Super League 2026/27 has 12 teams: Lugano, Sion, Young Boys, Basel, Servette, St. Gallen, FC Zürich, Luzern, Grasshopper, Thun, Vaduz, Lausanne Sport.

    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.