Swiss Super LeagueSwissporarena, Luzern19°12 km/h

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    LuzernLuzernCounter-attacks & crosses
    21
    VaduzVaduzCounter-attacks & crosses
    The model's lean: 1 · Luzern (40%)Best value by the model: 2 · Vaduz @ 4.70 (+63 %)

    LuzernVaduz · Swiss Super League

    1 · Luzern 40%X 25%35% Vaduz · 2

    Analysis: LuzernVaduz

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

    The 40% win probability for Luzern stands out in a tightly matched contest. Their slight model favoring comes despite Vaduz's edge in expected goals per match, leading to a compelling clash of styles. Both teams lean heavily on counter attacks and crosses, suggesting a tactical mirror that may cancel out distinct advantages. With Luzern having a slight points advantage, Vaduz's higher expected points and superior xG per match suggest a possible underestimation of their threat.

    The numbers indicate a close affair, with a 1-1 draw emerging as the most probable scoreline at 11%. However, the model sees potential for a sneaky 2-1 victory either way at 8%. The expected goals for Luzern (1.54) and Vaduz (1.58) suggest an open game, aligning with the 60% probability for over 2.5 goals and 63% for both teams scoring. Luzern's marginally better defensive record (xGA 2.1 vs. Vaduz's 2.2) might just tip the balance in a match likely defined by fine margins.

    For those searching for value, the away win for Vaduz is enticingly priced at 4.5 with Betsafe, Betsson, and Nordicbet. The model's 35% estimation of a Vaduz win offers a 56% edge, positioning it as the sharpest angle to exploit.

    LuzernLuzern
    Form LLDWD
    League ranking xG #8xGA #10xT #6xP/match #10Points #9
    Key players
    • Matteo Di GiustoLWxG 0.18 · xT 0.12
    • Daniel MikołajewskiFxG 0.26 · xT 0.29
    • Bung Meng FreimannCBxG 0.32 · xT 0.13
    VaduzVaduz
    Form LLLLW
    League ranking xG #4xGA #11xT #11xP/match #7Points #11
    Key players
    • Juan Ignacio CabreraLWxG 0.51 · xT 0.07
    • Lutfi DalipiCAMxG 0.11 · xT 0.21
    • Liridon BerishaCBxG 0.00 · xT 0.12
    Final score
    21
    The model called the outcome
    Predicted probabilities: Luzern 40% · Draw 25% · Vaduz 35%

    How the bookmaker bet builders went

    The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.

    Matchresultat - VaduzBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 7,47fair 7,46+0 %
    Miss
    Matchresultat - LuzernBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 3,20fair 7,85-59 %
    Miss

    Match prediction: LuzernVaduz

    Predicted score matrix

    Vaduz
    Luzern
    0
    1
    2
    3
    4+
    0
    0–04.7%
    0–16.6%
    0–25.5%
    0–32.9%
    0–4+1.6%
    1
    1–06.5%
    1–111.0%
    1–28.5%
    1–34.5%
    1–4+2.5%
    2
    2–05.2%
    2–18.3%
    2–26.5%
    2–33.5%
    2–4+1.9%
    3
    3–02.7%
    3–14.3%
    3–23.4%
    3–31.8%
    3–4+1.0%
    4+
    4+–01.5%
    4+–12.3%
    4+–21.8%
    4+–31.0%
    4+–4+0.5%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-28%
    3. 3.2-18%
    4. 4.0-17%
    5. 5.2-27%
    Expected goals
    1,541,58
    Both teams to score
    63%

    Over/under goals

    Expected goals: 3,1
    Under 2,540%
    @3.25EV+14%
    Over 2,560%
    @1.32

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Luzern or draw (1X)61%
    • Over 1.5 goals82%

    Combined probability

    50%

    Fair odds

    1.99

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

    02 · 3 legs

    Balanced

    • Double chance Luzern or draw (1X)61%
    • Over 2.5 goals60%
    • Lucas Manuel Silva Ferreira to score15%

    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 goals60%
    • Marcel Michael Monsberger to score23%
    • Leonardo Fabrizio Bertone to be booked22%

    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+).

    • 2 · Vaduz35% probability@4.70Betfair ExchangeEV+63%reference odds
    • 2 · Vaduz35% probability@4.52PinnacleEV+56%reference odds
    • 2 · Vaduz35% probability@4.10BetsafeEV+42%reference odds
    Bookmaker1 · LuzernX2 · Vaduz
    Betfair Exchange1.47
    EV+ 1%
    3.95
    EV+ 63%
    4.70
    Betsafe1.65
    EV+ 3%
    4.05
    EV+ 42%
    4.10
    Betsson1.65
    EV+ 3%
    4.05
    EV+ 42%
    4.10
    Nordicbet1.65
    EV+ 3%
    4.05
    EV+ 42%
    4.10
    Pinnacle1.70
    EV+ 11%
    4.34
    EV+ 56%
    4.52

    Odds updated 2 Sept, 10:36

    Odds movement

    Market signal

    The market has moved clearly towards an Vaduz win since 31 August — the odds have shortened from 5.24 to 4.52 (−14%).

    1+7 %
    60 %55 %

    1.591.70

    X+4 %
    25 %20 %

    4.164.34

    2-14 %
    23 %18 %

    5.244.52

    Pinnacle · 17 recorded price levels · 31/08/2026 → 02/09/2026 · fixed scale 5 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Luzern
    Vaduz
    When goals are scored and conceded 2026
    Luzern (59)
    Vaduz (1214)
    Pass networks

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

    Luzern
    Pius Dorn: 141 passningar, xT 0.33DornLeonardo Bertone: 139 passningar, xT 0.27BertoneMatteo Di Giusto: 111 passningar, xT 0.6GiustoBung Meng Freimann: 90 passningar, xT 0.25FreimannAndrejs Ciganiks: 90 passningar, xT 0.17CiganiksStefan Knezevic: 87 passningar, xT 0.12KnezevicSimon Simoni: 84 passningar, xT 0.12SimoniRuben Dantas Fernandes: 76 passningar, xT 0.8FernandesLoic Luthi: 75 passningar, xT 0.02LuthiBung Hua Freimann: 72 passningar, xT 0.06FreimannMio Zimmermann: 68 passningar, xT 0.03Zimmermann
    Vaduz
    Luca Mack: 246 passningar, xT 0.5MackLiridon Berisha: 220 passningar, xT 0.58BerishaMalik Sawadogo: 167 passningar, xT 0.77SawadogoNicolas Hasler: 164 passningar, xT 0.55HaslerDenis Simani: 148 passningar, xT 0.31SimaniLeon Schaffran: 130 passningar, xT 0.05SchaffranLutfi Dalipi: 129 passningar, xT 0.79DalipiJulian Stark: 126 passningar, xT 0.16StarkJuan Ignacio Cabrera: 94 passningar, xT 0.25CabreraDominik Schwizer: 57 passningar, xT 0.02SchwizerNiklas Lang: 54 passningar, xT 0.2Lang
    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.

    Luzern
    Pius Dorn: 141 passningar, xT 0.33DornLeonardo Bertone: 139 passningar, xT 0.27BertoneMatteo Di Giusto: 111 passningar, xT 0.6GiustoBung Meng Freimann: 90 passningar, xT 0.25FreimannAndrejs Ciganiks: 90 passningar, xT 0.17CiganiksStefan Knezevic: 87 passningar, xT 0.12KnezevicSimon Simoni: 84 passningar, xT 0.12SimoniRuben Dantas Fernandes: 76 passningar, xT 0.8FernandesLoic Luthi: 75 passningar, xT 0.02LuthiBung Hua Freimann: 72 passningar, xT 0.06FreimannMio Zimmermann: 68 passningar, xT 0.03Zimmermann
    Vaduz
    Luca Mack: 246 passningar, xT 0.5MackLiridon Berisha: 220 passningar, xT 0.58BerishaMalik Sawadogo: 167 passningar, xT 0.77SawadogoNicolas Hasler: 164 passningar, xT 0.55HaslerDenis Simani: 148 passningar, xT 0.31SimaniLeon Schaffran: 130 passningar, xT 0.05SchaffranLutfi Dalipi: 129 passningar, xT 0.79DalipiJulian Stark: 126 passningar, xT 0.16StarkJuan Ignacio Cabrera: 94 passningar, xT 0.25CabreraDominik Schwizer: 57 passningar, xT 0.02SchwizerNiklas Lang: 54 passningar, xT 0.2Lang

    The teams in numbers

    PerformanceLuzernVaduz
    Points53
    xPoints5.76.8
    xG per match1.42
    xGA per match2.12.2
    xG within 8s of winning the ball0.140.21
    xGA within 8s of losing the ball0.370.58
    Playing styleLuzernVaduz
    Build-up efficiency0.340.29
    Field tilt0.410.41
    xT per match1.10.68
    xTA per match1.21.6
    Won balls, offensive half2029
    Pressing intensity0.240.29
    Pressing efficiency0.310.33
    Pressing efficiency, offensive half0.220.3
    Entries into the box per match1313
    Entries into the box against1721
    Pass completion %0.70.74
    Pass completion % under pressure0.60.7
    Passes per match259383
    Passes against per match366324
    Switches of play per match22.121.9
    Long balls per match3036
    Set piecesLuzernVaduz
    xG from free kicks0.170.06
    Corners per match6.14.1
    Corners against per match5.98.5
    xG per corner0.020
    xGA per corner against0.030.05
    First touch, offensive corners %0.350.42
    First touch, defensive corners %0.470.51
    OtherLuzernVaduz
    Throw-in control0.710.69
    The goalkeepersSimon Simoni (Luzern)Leon Schaffran (Vaduz)
    Saves1615
    Save %67%58%
    xG prevented37%37%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Luzern vs Vaduz according to our model?

    The model gives Luzern a 40% win probability. Full 1X2 picture: Luzern 40%, draw 25%, Vaduz 35%.

    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 60% and under at 40%.

    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.