Swiss Super LeagueStade de Genève, Genève20°16 km/h

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    ServetteServettePossession control
    11
    LuzernLuzernCounter-attacks & crosses
    The model's lean: 1 · Servette (53%)Best value by the model: Under 3,5 @ 1.73 (+6 %)

    ServetteLuzern · Swiss Super League

    1 · Servette 53%X 25%22% Luzern · 2

    Analysis: ServetteLuzern

    Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work

    The numbers suggest Servette should edge this contest, but not without a struggle. Despite the hosts' historical dominance over Luzern, leading the head-to-head with 4 wins and 4 draws in their last 8 matches, recent form and expected goal metrics paint a more balanced picture. Servette's possession-focused style contrasts sharply with Luzern's counter-attacking approach, which might lead to a tighter game than historical averages suggest.

    With Servette boasting a 53% win probability and a slight edge in expected goals (1.81 to Luzern's 1.35), the home team is favored. Yet, the most likely scoreline according to the model is a 1-1 draw at 11%, indicating a competitive match. While the 2-1 scoreline for the hosts follows closely behind at 9%, Servette's lack of recent wins in terms of points (3 compared to Luzern's 4) and their comparable xPoints (4.5 vs 4.6) underline the visitors' potential to disrupt expectations.

    The clash of styles could limit the scoring opportunities, despite the model's suggestion of a 61% likelihood for over 2.5 goals and a high both teams to score probability at 62%. Servette's ability to control possession might stifle Luzern's counter-attacks, causing fewer goals than the 4.2 per game average seen historically in this fixture.

    Where the betting market seems to offer value is in the under 3.5 goals line, available at odds of 1.65 with Betsafe, Betsson, and Nordicbet. This is rated at 61% by the model, presenting a 1% edge. Given the recent data and tactical matchup, a cautious approach might be prudent, with a 2-1 victory for Servette looking plausible but far from certain.

    ServetteServette
    Form WWLLW
    League ranking xG #6xGA #5xT #3xP/match #4Points #8
    Key players
    • Tiemoko OuattaraFxG 0.26 · xT 0.13
    • Florian AyéFxG 0.31 · xT 0.03
    • Samuel MrazFxG 0.66 · xT 0.02
    LuzernLuzern
    Form WLLDW
    League ranking xG #7xGA #10xT #5xP/match #10Points #7
    Key players
    • Lars VilligerFxG 0.32 · xT 0.29
    • Matteo Di GiustoLWxG 0.21 · xT 0.15
    • Daniel MikołajewskiLWxG 0.32 · xT 0.34
    Final score
    11
    The model missed the outcome
    Predicted probabilities: Servette 53% · Draw 25% · Luzern 22%

    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 - LuzernBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 8,40fair 10,48-20 %
    Miss
    Matchresultat - ServetteBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 4,47fair 5,83-23 %
    Miss

    Match prediction: ServetteLuzern

    Predicted score matrix

    Luzern
    Servette
    0
    1
    2
    3
    4+
    0
    0–04.5%
    0–15.4%
    0–23.9%
    0–31.7%
    0–4+0.8%
    1
    1–07.3%
    1–110.7%
    1–27.0%
    1–33.2%
    1–4+1.4%
    2
    2–06.9%
    2–19.4%
    2–26.3%
    2–32.9%
    2–4+1.3%
    3
    3–04.2%
    3–15.7%
    3–23.8%
    3–31.7%
    3–4+0.8%
    4+
    4+–02.9%
    4+–13.9%
    4+–22.6%
    4+–31.2%
    4+–4+0.5%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-19%
    3. 3.1-07%
    4. 4.1-27%
    5. 5.2-07%
    Expected goals
    1,811,35
    Both teams to score
    62%

    Over/under goals

    Expected goals: 3,2
    Under 2,539%
    @2.42
    Over 2,561%
    @1.50

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Servette to win53%
    • Over 1.5 goals83%

    Combined probability

    41%

    Fair odds

    2.47

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

    02 · 3 legs

    Balanced

    • Servette to win53%
    • Over 2.5 goals61%
    • Jérémy Bruno Guillemenot 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 score62%
    • Over 2.5 goals61%
    • Jérémy Bruno Guillemenot to score23%
    • David Marc Michel Douline 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+).

    • Under 3.561% probability@1.73PinnacleEV+6%reference odds
    • X · Draw25% probability@4.08PinnacleEV+2%reference odds
    • 1 · Servette53% probability@1.88PinnacleEV+0%reference odds
    Bookmaker1 · ServetteX2 · Luzern
    Betsafe1.853.753.50
    Betsson1.853.753.50
    Nordicbet1.853.753.50
    Pinnacle
    EV+ 0%
    1.88
    EV+ 2%
    4.08
    3.82

    Odds updated 29 Aug, 11:36

    Odds movement

    10 %
    53 %48 %

    1.881.88

    X+2 %
    26 %21 %

    4.004.08

    2+6 %
    28 %23 %

    3.623.82

    Pinnacle · 11 recorded price levels · 23/08/2026 → 29/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    8 matches
    Servette 4Draw 4Luzern 0
    Goals: 2014 (⌀ 4,2)

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

    Key facts

    • Servette dominate this fixture historically: 4 wins to 0 in 8 meetings.
    • A high-scoring fixture: 4.2 goals per meeting on average.
    xG & xGA per match — 3-game rolling average

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

    Servette
    Luzern
    When goals are scored and conceded 2026
    Servette (34)
    Luzern (48)
    Pass networks

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

    Servette
    Timothe Cognat: 180 passningar, xT 0.58CognatMarco Burch: 144 passningar, xT 0.26BurchSteve Rouiller: 136 passningar, xT 0.28RouillerPedro Henrique Naressi Machado: 116 passningar, xT 0.18MachadoBradley Mazikou: 103 passningar, xT 0.19MazikouQuentin Maceiras Pralong: 70 passningar, xT 0.5PralongMiroslav Stevanovic: 67 passningar, xT 0.61StevanovicLilian Njoh: 66 passningar, xT 0.52NjohEdvinas Gertmonas: 56 passningar, xT 0.13GertmonasMathis Lambourde Frontier: 54 passningar, xT 0.23FrontierHouboulang Mendes: 39 passningar, xT 0.01Mendes
    Luzern
    Leonardo Bertone: 107 passningar, xT 0.23BertonePius Dorn: 105 passningar, xT 0.19DornMatteo Di Giusto: 96 passningar, xT 0.6GiustoStefan Knezevic: 87 passningar, xT 0.12KnezevicSimon Simoni: 84 passningar, xT 0.12SimoniRuben Dantas Fernandes: 76 passningar, xT 0.8FernandesLoic Luthi: 75 passningar, xT 0.02LuthiAndrejs Ciganiks: 67 passningar, xT 0.11CiganiksLucas Ferreira: 53 passningar, xT 0.03FerreiraBung Meng Freimann: 51 passningar, xT 0.18FreimannTyron Owusu: 51 passningar, xT 0.08Owusu
    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.

    Servette
    Timothe Cognat: 180 passningar, xT 0.58CognatMarco Burch: 144 passningar, xT 0.26BurchSteve Rouiller: 136 passningar, xT 0.28RouillerPedro Henrique Naressi Machado: 116 passningar, xT 0.18MachadoBradley Mazikou: 103 passningar, xT 0.19MazikouQuentin Maceiras Pralong: 70 passningar, xT 0.5PralongMiroslav Stevanovic: 67 passningar, xT 0.61StevanovicLilian Njoh: 66 passningar, xT 0.52NjohEdvinas Gertmonas: 56 passningar, xT 0.13GertmonasMathis Lambourde Frontier: 54 passningar, xT 0.23FrontierHouboulang Mendes: 39 passningar, xT 0.01Mendes
    Luzern
    Leonardo Bertone: 107 passningar, xT 0.23BertonePius Dorn: 105 passningar, xT 0.19DornMatteo Di Giusto: 96 passningar, xT 0.6GiustoStefan Knezevic: 87 passningar, xT 0.12KnezevicSimon Simoni: 84 passningar, xT 0.12SimoniRuben Dantas Fernandes: 76 passningar, xT 0.8FernandesLoic Luthi: 75 passningar, xT 0.02LuthiAndrejs Ciganiks: 67 passningar, xT 0.11CiganiksLucas Ferreira: 53 passningar, xT 0.03FerreiraBung Meng Freimann: 51 passningar, xT 0.18FreimannTyron Owusu: 51 passningar, xT 0.08Owusu

    The teams in numbers

    PerformanceServetteLuzern
    Points34
    xPoints4.54.6
    xG per match1.61.5
    xGA per match1.32.1
    xG within 8s of winning the ball0.350.17
    xGA within 8s of losing the ball0.190.45
    Playing styleServetteLuzern
    Build-up efficiency0.320.34
    Field tilt0.560.46
    xT per match1.41.2
    xTA per match1.11.1
    Won balls, offensive half3720
    Pressing intensity0.250.25
    Pressing efficiency0.310.3
    Pressing efficiency, offensive half0.260.22
    Entries into the box per match2315
    Entries into the box against1315
    Pass completion %0.760.69
    Pass completion % under pressure0.70.58
    Passes per match369259
    Passes against per match282333
    Switches of play per match19.522.8
    Long balls per match3131
    Set piecesServetteLuzern
    xG from free kicks0.010.04
    Corners per match8.17.3
    Corners against per match4.54.1
    xG per corner0.010.02
    xGA per corner against0.030.04
    First touch, offensive corners %0.440.37
    First touch, defensive corners %0.570.35
    OtherServetteLuzern
    Throw-in control0.730.72
    The goalkeepersEdvinas Gertmonas (Servette)Simon Simoni (Luzern)
    Saves516
    Save %63%67%
    xG prevented26%37%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Servette vs Luzern according to our model?

    The model gives Servette a 53% win probability. Full 1X2 picture: Servette 53%, draw 25%, Luzern 22%.

    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 61% and under at 39%.

    Will both teams score?

    The probability of both teams scoring is 62% 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.