Swiss Super LeagueRheinpark Stadion, Vaduz21°9 km/h

    Läs på svenska
    VaduzVaduzCounter-attacks & crosses
    31
    Lausanne SportLausanne SportPossession control
    The model's lean: 1 · Vaduz (51%)

    VaduzLausanne Sport · Swiss Super League

    1 · Vaduz 51%X 23%26% Lausanne Sport · 2

    Analysis: VaduzLausanne Sport

    Erik Lindberg · · Written from the model's numbers · How the predictions work

    Vaduz's defensive vulnerabilities, seen in their 2.2 expected goals against (xGA) per match, could shape this match against Lausanne Sport. Despite this, the hosts' attacking prowess, reflected by their 1.8 expected goals (xG) per match, suggests they can exploit the visitors' relative defensive stability. Lausanne, boasting just 1.2 xGA, will likely focus on retaining possession to neutralize Vaduz's counter-attacking style. This interplay will define the game’s rhythm, with Vaduz aiming to capitalize on their offensive opportunities.

    Lausanne Sport's edge in points, 6 compared to Vaduz's 3, contrasts with the underlying metrics that favor the hosts. While Lausanne Sport holds a slight points lead, Vaduz's superior xPoints of 7.5 to Lausanne's 6.6 positions them as the more effective team despite what the league table suggests. The model backs this up by assigning a 51% win probability to Vaduz, which aligns with their higher scoring potential. However, Lausanne's better defensive record means they could stifle Vaduz's efforts, turning this into a tight contest.

    With 63% probability for over 2.5 goals and 64% for both teams to score, goals seem likely. Yet, the prediction leans towards 1-1 as the most probable outcome (10%), which would fit the mold of a competitive but controlled match. Vaduz's attacking advantage might push this towards a 2-1 win (9% likelihood), given their higher xG and the model’s lean towards the home side. Despite Vaduz’s defensive gaps, their potential on the counter and through crosses could tilt the scales slightly in their favor.

    For those seeking value, the odds for a Vaduz victory at 2.35 with Betsafe, Betsson, and Nordicbet present a 20% edge according to model ratings. This makes backing the home side a shrewd bet, especially given their offensive capabilities against a possession-dominant Lausanne. While not a guarantee, the numbers suggest that the hosts are undervalued and could well deliver a solid result on home soil.

    VaduzVaduz
    Form LLLWL
    League ranking xG #4xGA #11xT #12xP/match #9Points #12
    Key players
    • Juan Ignacio CabreraLWxG 0.42 · xT 0.07
    • Julian StarkRWxG 0.28 · xT 0.06
    • Lutfi DalipiCAMxG 0.11 · xT 0.23
    Lausanne SportLausanne Sport
    Form WDLLD
    League ranking xG #12xGA #2xT #11xP/match #11Points #8
    Key players
    • Beyatt LekoueiryRWxG 0.00 · xT 0.34
    • Kevin MouangaCBxG 0.03 · xT 0.04
    • Jamie RocheCMxG 0.03 · xT -0.01
    Final score
    31
    The model called the outcome
    Predicted probabilities: Vaduz 51% · Draw 23% · Lausanne Sport 26%

    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 5,80fair 5,67+2 %
    Hit
    Matchresultat - LausanneBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 5,73fair 9,57-40 %
    Miss

    Match prediction: VaduzLausanne Sport

    Predicted score matrix

    Lausanne Sport
    Vaduz
    0
    1
    2
    3
    4+
    0
    0–04.2%
    0–15.2%
    0–23.9%
    0–31.8%
    0–4+0.9%
    1
    1–06.8%
    1–110.4%
    1–27.1%
    1–33.4%
    1–4+1.6%
    2
    2–06.5%
    2–19.2%
    2–26.5%
    2–33.1%
    2–4+1.5%
    3
    3–04.0%
    3–15.6%
    3–24.0%
    3–31.9%
    3–4+0.9%
    4+
    4+–02.8%
    4+–13.9%
    4+–22.8%
    4+–31.3%
    4+–4+0.6%
    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. 4.1-07%
    5. 5.2-07%
    Expected goals
    1,831,41
    Both teams to score
    64%

    Over/under goals

    Expected goals: 3,2
    Under 2,537%
    @2.42
    Over 2,563%
    @1.49

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Vaduz to win51%
    • Over 1.5 goals84%

    Combined probability

    40%

    Fair odds

    2.49

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

    02 · 3 legs

    Balanced

    • Vaduz to win51%
    • Over 2.5 goals63%
    • Marcel Michael Monsberger to score24%

    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 score64%
    • Over 2.5 goals63%
    • Marcel Michael Monsberger to score24%
    • Olivier da Costa Custodio to be booked24%

    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 · Vaduz51% probability@2.45BetsafeEV+25%reference odds
    • 1 · Vaduz51% probability@2.45BetssonEV+25%reference odds
    • 1 · Vaduz51% probability@2.45NordicbetEV+25%reference odds
    Bookmaker1 · VaduzX2 · Lausanne Sport
    Betfair Exchange1.101.101.10
    Betsafe
    EV+ 25%
    2.45
    3.552.45
    Betsson
    EV+ 25%
    2.45
    3.552.45
    Nordicbet
    EV+ 25%
    2.45
    3.552.45
    Pinnacle
    EV+ 13%
    2.23
    3.863.03

    Odds updated 5 Sept, 10:32

    Odds movement

    Market signal

    The market has moved clearly towards a Vaduz win since 3 September — the odds have shortened from 2.49 to 2.23 (−10%).

    1-10 %
    45 %35 %

    2.492.23

    X+4 %
    30 %20 %

    3.713.86

    2+16 %
    40 %30 %

    2.623.03

    Pinnacle · 12 recorded price levels · 03/09/2026 → 05/09/2026 · fixed scale 10 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Vaduz
    Lausanne Sport
    When goals are scored and conceded 2026
    Vaduz (1316)
    Lausanne Sport (67)
    Pass networks

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

    Vaduz
    Luca Mack: 252 passningar, xT 0.5MackLiridon Berisha: 217 passningar, xT 0.66BerishaDenis Simani: 202 passningar, xT 0.41SimaniNicolas Hasler: 185 passningar, xT 0.57HaslerJulian Stark: 148 passningar, xT 0.21StarkMalik Sawadogo: 141 passningar, xT 0.76SawadogoLeon Schaffran: 127 passningar, xT 0.06SchaffranLutfi Dalipi: 124 passningar, xT 0.98DalipiJuan Ignacio Cabrera: 103 passningar, xT 0.31CabreraDominik Schwizer: 81 passningar, xT 0.03SchwizerMiloš Ćoćić: 56 passningar, xT 0.02Ćoćić
    Lausanne Sport
    Abdou Karim Sow: 233 passningar, xT 0.27SowBrandon Soppy: 178 passningar, xT 0.48SoppyOlivier da Costa Custodio: 177 passningar, xT 0.01CustodioMorgan Poaty: 157 passningar, xT 0.24PoatyFlorent Mollet: 143 passningar, xT -0.09MolletJamie Roche: 124 passningar, xT -0.04RocheMelvin Feyçal Mastil: 121 passningar, xT 0.17MastilKevin Mouanga: 108 passningar, xT 0.06MouangaSékou Koné: 87 passningar, xT 0.28KonéNathan Jerome Chatoyer Butler-Oyedeji: 73 passningar, xT 0.19Butler-OyedejiTyler Fredricson: 62 passningar, xT 0.08Fredricson
    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.

    Vaduz
    Luca Mack: 252 passningar, xT 0.5MackLiridon Berisha: 217 passningar, xT 0.66BerishaDenis Simani: 202 passningar, xT 0.41SimaniNicolas Hasler: 185 passningar, xT 0.57HaslerJulian Stark: 148 passningar, xT 0.21StarkMalik Sawadogo: 141 passningar, xT 0.76SawadogoLeon Schaffran: 127 passningar, xT 0.06SchaffranLutfi Dalipi: 124 passningar, xT 0.98DalipiJuan Ignacio Cabrera: 103 passningar, xT 0.31CabreraDominik Schwizer: 81 passningar, xT 0.03SchwizerMiloš Ćoćić: 56 passningar, xT 0.02Ćoćić
    Lausanne Sport
    Abdou Karim Sow: 233 passningar, xT 0.27SowBrandon Soppy: 178 passningar, xT 0.48SoppyOlivier da Costa Custodio: 177 passningar, xT 0.01CustodioMorgan Poaty: 157 passningar, xT 0.24PoatyFlorent Mollet: 143 passningar, xT -0.09MolletJamie Roche: 124 passningar, xT -0.04RocheMelvin Feyçal Mastil: 121 passningar, xT 0.17MastilKevin Mouanga: 108 passningar, xT 0.06MouangaSékou Koné: 87 passningar, xT 0.28KonéNathan Jerome Chatoyer Butler-Oyedeji: 73 passningar, xT 0.19Butler-OyedejiTyler Fredricson: 62 passningar, xT 0.08Fredricson

    The teams in numbers

    PerformanceVaduzLausanne Sport
    Points36
    xPoints7.56.6
    xG per match1.80.8
    xGA per match2.21.2
    xG within 8s of winning the ball0.220.12
    xGA within 8s of losing the ball0.50.31
    Playing styleVaduzLausanne Sport
    Build-up efficiency0.30.33
    Field tilt0.420.52
    xT per match0.670.72
    xTA per match1.61.1
    Won balls, offensive half2721
    Pressing intensity0.280.24
    Pressing efficiency0.350.35
    Pressing efficiency, offensive half0.320.27
    Entries into the box per match138
    Entries into the box against2014
    Pass completion %0.740.74
    Pass completion % under pressure0.680.68
    Passes per match383337
    Passes against per match316313
    Switches of play per match23.435.7
    Long balls per match3738
    Set piecesVaduzLausanne Sport
    xG from free kicks0.050.08
    Corners per match4.13.6
    Corners against per match7.54.9
    xG per corner0.020.03
    xGA per corner against0.060.04
    First touch, offensive corners %0.480.5
    First touch, defensive corners %0.520.41
    OtherVaduzLausanne Sport
    Throw-in control0.690.73
    The goalkeepersLeon Schaffran (Vaduz)Melvin Feyçal Mastil (Lausanne Sport)
    Saves2122
    Save %62%76%
    xG prevented47%56%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Vaduz vs Lausanne Sport according to our model?

    The model gives Vaduz a 51% win probability. Full 1X2 picture: Vaduz 51%, draw 23%, Lausanne Sport 26%.

    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 63% and under at 37%.

    Will both teams score?

    The probability of both teams scoring is 64% 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.

    More matches in the league

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