Swiss Super LeagueStadio di Cornaredo, Lugano20°21,9 mm6 km/h

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    LuganoLuganoPossession & high press
    vs
    St. GallenSt. GallenPossession control
    The model's lean: 1 · Lugano (60%)
    Limited dataThe model has thin or uncertain data for this match — the forecast may be unreliable and the match is excluded from our value lists.

    LuganoSt. Gallen · Swiss Super League

    1 · Lugano 60%X 24%16% St. Gallen · 2

    Analysis: LuganoSt. Gallen

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

    FC Lugano's recent form is nothing short of compelling: four straight wins and goals in 14 consecutive league matches. This is a side that exudes confidence, and the model gives them a solid 60% chance to extend this run against St. Gallen. The hosts boast an expected goals tally of 2.06, pointing towards a likely scoreline of 2-0 or 2-1, especially given St. Gallen's expected 0.99 suggests they're unlikely to trouble Lugano's defence too much.

    FC Lugano are riding high, but St. Gallen enters the contest with a sturdy backbone, unbeaten in their last six league encounters. Despite St. Gallen's historical edge in this fixture, with three wins in their last seven meetings, the sample size is too slim to overshadow current form and expected goals. Lugano's high pressing, possession-based style may unsettle St. Gallen, whose own possession control might struggle in the anticipated rainy conditions, which typically suppress goal-scoring opportunities.

    The weather forecast of 22.5°C with 15.3 mm of rain could dampen the attacking quality, but both teams are inclined to score, with a 55% chance of both hitting the back of the net. Still, with an over 2.5 goals probability at 59%, there's a slight lean towards a higher-scoring affair, despite the elements.

    FC Lugano's 9 points versus St. Gallen's 6 indicate a slight edge, but it's the expected points—4.6 to 2.7 in favour of Lugano—that really underline their dominance. While St. Gallen's xG per match at 2.0 is higher, they also leak goals with an xGA of 2.0, which could be exploited by a clinical Lugano outfit.

    The sharpest angle here is the value on FC Lugano at odds of 2.02 with Betsafe, Betsson, and Nordicbet, offering a 21% edge. Given the model rates FC Lugano at a 60% likelihood of victory, this is a betting opportunity not to be overlooked. Expect a 2-1 victory for the home side, with the over 2.5 goal market slightly favoured despite the weather.

    LuganoLugano
    Form DWWWW
    League ranking xG #5xGA #4xT #1xP/match #3Points #1
    Key players
    • Renato SteffenFxG 0.21 · xT 0.44
    • Dereck Alessandro Moncada ArguijoFxG 0.58 · xT 0.09
    • Ezgjan AlioskiLWBxG 0.06 · xT 0.32
    St. GallenSt. Gallen
    Form WDWWD
    League ranking xG #3xGA #9xT #11xP/match #6Points #3
    Key players
    • Lukas GortlerFxG 0.57 · xT 0.25
    • Aliou BaldeLWxG 0.67 · xT -0.02
    • Lukas DaschnerCAMxG 0.38 · xT 0.15

    Match prediction: LuganoSt. Gallen

    Predicted score matrix

    St. Gallen
    Lugano
    0
    1
    2
    3
    4+
    0
    0–05.0%
    0–14.4%
    0–22.3%
    0–30.8%
    0–4+0.2%
    1
    1–09.5%
    1–110.0%
    1–24.8%
    1–31.6%
    1–4+0.5%
    2
    2–010.0%
    2–110.0%
    2–24.9%
    2–31.6%
    2–4+0.5%
    3
    3–06.9%
    3–16.8%
    3–23.4%
    3–31.1%
    3–4+0.3%
    4+
    4+–05.7%
    4+–15.6%
    4+–22.8%
    4+–30.9%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-010%
    2. 2.1-110%
    3. 3.2-110%
    4. 4.1-09%
    5. 5.3-07%
    Expected goals
    2,060,99
    Both teams to score
    55%

    Over/under goals

    Expected goals: 3,0
    Under 2,541%
    @2.58EV+6%
    Over 2,559%
    @1.46

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Lugano to win60%
    • Over 1.5 goals81%

    Combined probability

    52%

    Fair odds

    1.92

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

    02 · 3 legs

    Balanced

    • Lugano to win60%
    • Over 2.5 goals59%
    • Renato Steffen to score30%

    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 score55%
    • Over 2.5 goals59%
    • Renato Steffen to score30%
    • Colin Noah Kleine-Bekel 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+).

    • 1 · Lugano60% probability@2.02BetsafeEV+21%reference odds
    • 1 · Lugano60% probability@2.02BetssonEV+21%reference odds
    • 1 · Lugano60% probability@2.02NordicbetEV+21%reference odds
    Bookmaker1 · LuganoX2 · St. Gallen
    Betsafe
    EV+ 21%
    2.02
    3.703.05
    Betsson
    EV+ 21%
    2.02
    3.703.05
    Nordicbet
    EV+ 21%
    2.02
    3.703.05

    Odds updated 16 Aug, 16:36

    Odds movement

    1+2 %
    48 %43 %

    1.982.02

    X+9 %
    28 %23 %

    3.403.70

    2-10 %
    31 %26 %

    3.403.05

    Over 2,50 %
    66 %61 %

    1.461.46

    Betsson · 2 recorded price levels · 16/08/2026 → 16/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    7 matches
    Lugano 1Draw 3St. Gallen 3
    Goals: 68 (⌀ 2)

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

    Key facts

    • St. Gallen dominate this fixture historically: 3 wins to 1 in 7 meetings.
    • FC Lugano come into this round on 4 straight wins.
    • FC Lugano have scored in 14 consecutive league matches.
    • St. Gallen are unbeaten in their last 6 league matches.
    • FC Lugano win 58% of their home matches all-time (59 played).
    xG & xGA per match — 3-game rolling average

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

    Lugano
    St. Gallen
    When goals are scored and conceded 2026
    Lugano (112)
    St. Gallen (75)
    Pass networks

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

    Lugano
    Uran Bislimi: 195 passningar, xT 0.62BislimiAnto Grgic: 184 passningar, xT 0.61GrgicLukas Mai: 168 passningar, xT 0.39MaiAntonios Papadopoulos: 125 passningar, xT 0.33PapadopoulosEzgjan Alioski: 104 passningar, xT 0.64AlioskiDavid Von Ballmoos: 89 passningar, xT 0.15BallmoosYanis Cimignani: 81 passningar, xT 0.47CimignaniRenato Steffen: 74 passningar, xT 0.65SteffenMattia Zanotti: 69 passningar, xT 0.45ZanottiJoel Bichsel: 68 passningar, xT 0.1BichselHannes Piterson Delcroix: 49 passningar, xT 0.38Delcroix
    St. Gallen
    Lukas Gortler: 87 passningar, xT 0.6GortlerChima Okoroji: 84 passningar, xT 0.34OkorojiLukas Daschner: 70 passningar, xT 0.29DaschnerJozo Stanic: 59 passningar, xT -0.09StanicMihailo Stevanovic: 53 passningar, xT 0.23StevanovicLawrence Ati Zigi: 49 passningar, xT 0.18ZigiChristian Witzig: 49 passningar, xT 0.22WitzigHugo Vandermersch: 45 passningar, xT 0.14VandermerschLeon Frokaj: 43 passningar, xT 0.17FrokajJoel Ruiz: 39 passningar, xT 0.04RuizEnoch Owusu: 36 passningar, xT 0.27Owusu
    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.

    Lugano
    Uran Bislimi: 195 passningar, xT 0.62BislimiAnto Grgic: 184 passningar, xT 0.61GrgicLukas Mai: 168 passningar, xT 0.39MaiAntonios Papadopoulos: 125 passningar, xT 0.33PapadopoulosEzgjan Alioski: 104 passningar, xT 0.64AlioskiDavid Von Ballmoos: 89 passningar, xT 0.15BallmoosYanis Cimignani: 81 passningar, xT 0.47CimignaniRenato Steffen: 74 passningar, xT 0.65SteffenMattia Zanotti: 69 passningar, xT 0.45ZanottiJoel Bichsel: 68 passningar, xT 0.1BichselHannes Piterson Delcroix: 49 passningar, xT 0.38Delcroix
    St. Gallen
    Lukas Gortler: 87 passningar, xT 0.6GortlerChima Okoroji: 84 passningar, xT 0.34OkorojiLukas Daschner: 70 passningar, xT 0.29DaschnerJozo Stanic: 59 passningar, xT -0.09StanicMihailo Stevanovic: 53 passningar, xT 0.23StevanovicLawrence Ati Zigi: 49 passningar, xT 0.18ZigiChristian Witzig: 49 passningar, xT 0.22WitzigHugo Vandermersch: 45 passningar, xT 0.14VandermerschLeon Frokaj: 43 passningar, xT 0.17FrokajJoel Ruiz: 39 passningar, xT 0.04RuizEnoch Owusu: 36 passningar, xT 0.27Owusu

    The teams in numbers

    PerformanceLuganoSt. Gallen
    Points96
    xPoints4.62.7
    xG per match1.82
    xGA per match1.12
    xG within 8s of winning the ball0.180.59
    xGA within 8s of losing the ball0.30.42
    Playing styleLuganoSt. Gallen
    Build-up efficiency0.310.33
    Field tilt0.640.5
    xT per match1.90.57
    xTA per match0.860.41
    Won balls, offensive half3048
    Pressing intensity0.210.23
    Pressing efficiency0.30.3
    Pressing efficiency, offensive half0.280.38
    Entries into the box per match1924
    Entries into the box against816
    Pass completion %0.810.61
    Pass completion % under pressure0.790.61
    Passes per match451273
    Passes against per match326352
    Switches of play per match26.921.1
    Long balls per match3542
    Set piecesLuganoSt. Gallen
    xG from free kicks0.020.14
    Corners per match5.88.1
    Corners against per match2.64.3
    xG per corner0.040.03
    xGA per corner against0.010.01
    First touch, offensive corners %0.50.46
    First touch, defensive corners %0.620.43
    OtherLuganoSt. Gallen
    Throw-in control0.710.6
    The goalkeepersDavid Von Ballmoos (Lugano)Lawrence Ati Zigi (St. Gallen)
    Saves63
    Save %75%50%
    xG prevented54%59%
    Claims0 (0%)0 (0%)

    Frequently asked questions

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

    The model gives Lugano a 60% win probability. Full 1X2 picture: Lugano 60%, draw 24%, St. Gallen 16%.

    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 59% and under at 41%.

    Will both teams score?

    The probability of both teams scoring is 55% 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.