Swiss Super LeagueStadio di Cornaredo, Lugano19°11 km/h

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    LuganoLuganoBalanced & physical
    vs
    Young BoysYoung BoysPossession control
    The model's lean: 1 · Lugano (50%)

    LuganoYoung Boys · Swiss Super League

    1 · Lugano 50%X 26%24% Young Boys · 2

    Analysis: LuganoYoung Boys

    Anna Karlsson · · A data-driven preview · How the predictions work

    TEXT: With FC Lugano riding a seven-match winning streak, they meet a Young Boys side unbeaten in their last ten league encounters. This match-up suggests a clash of form and strategy, with Lugano's balanced, physical approach facing off against the possession-heavy play of the visitors. The model gives the hosts a 50% chance of victory, a significant nod given the tight margins in their recent head-to-head record, which stands evenly at 3 wins each from eight matches since 2023.

    Both teams have been consistent in front of goal — Lugano have scored in 17 consecutive league matches, while Young Boys have scored in 10 consecutive league matches. This aligns with the model's 65% probability for both teams to score and a 65% chance of over 2.5 total goals. Lugano's expected goals edge of 1.92 to Young Boys' 1.41 hints at a slight advantage, potentially pointing towards a narrow home victory. The most likely scorelines reflect this, with 1-1 and 2-1 emerging as the top outcomes, though the match could easily swing in favor of either side.

    Yet, when we delve into expected points and xG metrics, Young Boys exhibit a stronger statistical profile with 12.7 xPoints against Lugano's 8.7, and a superior xG per match of 2.3 compared to Lugano’s 1.7. The defense, however, is where the hosts might find some comfort, boasting a slightly better xGA at 1.2 compared to Young Boys' 1.4, suggesting that they could withstand the visitors' offensive pressure more effectively.

    For bettors, the standout angle is the value on a home win, with odds at 2.42 on Betsafe, Betsson, and Nordicbet. The model sees a 50% chance of this result, presenting a substantial 22% value edge. In a tightly contested fixture, Lugano at home, capitalizing on their current form, could just edge it 2-1, with goals likely on both ends.

    LuganoLugano
    Form WWWWW
    League ranking xG #6xGA #1xT #2xP/match #5Points #1
    Key players
    • Ezgjan AlioskiLWBxG 0.06 · xT 0.32
    • Uran BislimiCMxG 0.11 · xT 0.32
    • Yanis CimignaniLWBxG 0.20 · xT 0.28
    Young BoysYoung Boys
    Form DWDWD
    League ranking xG #1xGA #5xT #3xP/match #1Points #2
    Key players
    • Samuel Emmanuel Essende MbonguFxG 0.82 · xT 0.06
    • Alvyn SanchesCAMxG 0.34 · xT 0.34
    • Kaly SeneFxG 0.79 · xT 0.09

    Match prediction: LuganoYoung Boys

    Predicted score matrix

    Young Boys
    Lugano
    0
    1
    2
    3
    4+
    0
    0–03.9%
    0–14.8%
    0–23.6%
    0–31.7%
    0–4+0.8%
    1
    1–06.6%
    1–110.0%
    1–26.8%
    1–33.2%
    1–4+1.5%
    2
    2–06.6%
    2–19.3%
    2–26.6%
    2–33.1%
    2–4+1.5%
    3
    3–04.2%
    3–16.0%
    3–24.2%
    3–32.0%
    3–4+0.9%
    4+
    4+–03.1%
    4+–14.4%
    4+–23.1%
    4+–31.5%
    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. 3.1-27%
    4. 4.2-07%
    5. 5.1-07%
    Expected goals
    1,921,41
    Both teams to score
    65%

    Over/under goals

    Expected goals: 3,3
    Under 2,535%
    @3.05EV+8%
    Over 2,565%
    @1.33

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Lugano to win50%
    • Over 1.5 goals85%

    Combined probability

    42%

    Fair odds

    2.36

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

    02 · 3 legs

    Balanced

    • Lugano to win50%
    • Over 2.5 goals65%
    • Renato Steffen to score23%

    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%
    • Renato Steffen to score23%
    • Edimilson Fernandes Ribeiro to be booked21%

    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 · Lugano50% probability@2.52BetsafeEV+27%reference odds
    • 1 · Lugano50% probability@2.52BetssonEV+27%reference odds
    • 1 · Lugano50% probability@2.52NordicbetEV+27%reference odds
    Bookmaker1 · LuganoX2 · Young Boys
    Betsafe
    EV+ 27%
    2.52
    3.752.35
    Betsson
    EV+ 27%
    2.52
    3.752.35
    Nordicbet
    EV+ 27%
    2.52
    3.752.35
    Pinnacle
    EV+ 26%
    2.51
    EV+ 5%
    4.05
    2.44

    Odds updated 11 Sept, 14:39

    Odds movement

    10 %
    41 %36 %

    2.502.51

    X+1 %
    26 %21 %

    4.034.05

    2-1 %
    40 %35 %

    2.462.44

    Pinnacle · 9 recorded price levels · 06/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    8 matches
    Lugano 3Draw 2Young Boys 3
    Goals: 108 (⌀ 2,2)

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

    Key facts

    • FC Lugano come into this round on 7 straight wins.
    • FC Lugano have scored in 17 consecutive league matches.
    • Young Boys are unbeaten in their last 10 league matches.
    • Young Boys have scored in 10 consecutive league matches.
    • FC Lugano win 58% of their home matches all-time (60 played).
    xG & xGA per match — 3-game rolling average

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

    Lugano
    Young Boys
    When goals are scored and conceded 2026
    Lugano (174)
    Young Boys (2614)
    Pass networks

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

    Lugano
    Uran Bislimi: 317 passningar, xT 1.28BislimiAnto Grgic: 285 passningar, xT 0.84GrgicAntonios Papadopoulos: 245 passningar, xT 0.53PapadopoulosLukas Mai: 238 passningar, xT 0.4MaiYanis Cimignani: 198 passningar, xT 1.19CimignaniHannes Piterson Delcroix: 196 passningar, xT 0.57DelcroixDavid Von Ballmoos: 158 passningar, xT 0.17BallmoosRenato Steffen: 132 passningar, xT 1.44SteffenMattia Zanotti: 102 passningar, xT 0.4ZanottiDaniel Dos Santos: 101 passningar, xT -0.04SantosDamian Kelvin: 86 passningar, xT 0.03Kelvin
    Young Boys
    Loris Benito: 228 passningar, xT 0.32BenitoSandro Lauper: 158 passningar, xT 0.59LauperAlvyn Sanches: 155 passningar, xT 1.25SanchesEdimilson Fernandes: 155 passningar, xT 0.1FernandesArmin Gigović: 149 passningar, xT 0.64GigovićMarvin Keller: 132 passningar, xT 0.11KellerStefan Bukinac: 121 passningar, xT 0.49BukinacLewin Blum: 113 passningar, xT 1.38BlumIsaac Schmidt: 76 passningar, xT 0.4SchmidtDominik Pech: 75 passningar, xT -0.07PechGregory Wuthrich: 65 passningar, xT 0.11Wuthrich
    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: 317 passningar, xT 1.28BislimiAnto Grgic: 285 passningar, xT 0.84GrgicAntonios Papadopoulos: 245 passningar, xT 0.53PapadopoulosLukas Mai: 238 passningar, xT 0.4MaiYanis Cimignani: 198 passningar, xT 1.19CimignaniHannes Piterson Delcroix: 196 passningar, xT 0.57DelcroixDavid Von Ballmoos: 158 passningar, xT 0.17BallmoosRenato Steffen: 132 passningar, xT 1.44SteffenMattia Zanotti: 102 passningar, xT 0.4ZanottiDaniel Dos Santos: 101 passningar, xT -0.04SantosDamian Kelvin: 86 passningar, xT 0.03Kelvin
    Young Boys
    Loris Benito: 228 passningar, xT 0.32BenitoSandro Lauper: 158 passningar, xT 0.59LauperAlvyn Sanches: 155 passningar, xT 1.25SanchesEdimilson Fernandes: 155 passningar, xT 0.1FernandesArmin Gigović: 149 passningar, xT 0.64GigovićMarvin Keller: 132 passningar, xT 0.11KellerStefan Bukinac: 121 passningar, xT 0.49BukinacLewin Blum: 113 passningar, xT 1.38BlumIsaac Schmidt: 76 passningar, xT 0.4SchmidtDominik Pech: 75 passningar, xT -0.07PechGregory Wuthrich: 65 passningar, xT 0.11Wuthrich

    The teams in numbers

    PerformanceLuganoYoung Boys
    Points1815
    xPoints8.712.7
    xG per match1.72.3
    xGA per match1.21.4
    xG within 8s of winning the ball0.190.56
    xGA within 8s of losing the ball0.290.24
    Playing styleLuganoYoung Boys
    Build-up efficiency0.310.36
    Field tilt0.580.56
    xT per match1.81.6
    xTA per match0.991
    Won balls, offensive half2821
    Pressing intensity0.220.24
    Pressing efficiency0.270.3
    Pressing efficiency, offensive half0.230.24
    Entries into the box per match1817
    Entries into the box against1112
    Pass completion %0.820.77
    Pass completion % under pressure0.790.72
    Passes per match461342
    Passes against per match352357
    Switches of play per match35.130.3
    Long balls per match4038
    Set piecesLuganoYoung Boys
    xG from free kicks0.070.04
    Corners per match6.65.5
    Corners against per match3.33.3
    xG per corner0.030.02
    xGA per corner against0.020
    First touch, offensive corners %0.50.5
    First touch, defensive corners %0.60.61
    OtherLuganoYoung Boys
    Throw-in control0.720.7
    The goalkeepersDavid Von Ballmoos (Lugano)Marvin Keller (Young Boys)
    Saves1319
    Save %77%61%
    xG prevented54%40%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Lugano vs Young Boys according to our model?

    The model gives Lugano a 50% win probability. Full 1X2 picture: Lugano 50%, draw 26%, Young Boys 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.