Swiss Super LeagueStade de la Tuilière, Lausanne20°8 km/h

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    Lausanne SportLausanne SportPossession control
    vs
    ServetteServettePossession control
    The model's lean: 2 · Servette (51%)

    Lausanne SportServette · Swiss Super League

    1 · Lausanne Sport 22%X 27%51% Servette · 2

    Analysis: Lausanne SportServette

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

    TEXT: Servette's dominance in this fixture adds a layer of intrigue to their visit to Lausanne Sport. Historically, they have the upper hand with four wins in the last eight meetings, a modest sample that nonetheless suggests a pattern. Yet, it's worth noting that Lausanne have been surprisingly resilient this season, leading on points with six compared to Servette's four. However, the underlying metrics tell a different story.

    Servette's expected goals (xG) of 1.70 per match dwarfs Lausanne's 1.07, pointing to a more potent attacking threat. This disparity aligns with their playing style, both sides favoring possession control, but Servette's execution appears sharper. Defensively, the hosts have a slight edge, conceding fewer expected goals against (xGA) per match compared to their visitors. It suggests Lausanne might have the ability to stifle Servette's advances, but the visitors’ superior attacking metrics could tip the balance.

    The model's most likely scorelines are revealing. A 1-1 draw leads at 12%, but Servette winning 0-1 or 1-2 both come in at 10%. These probabilities underscore the visitors’ potential to edge out a result, even if narrowly. With the model giving Servette a 51% chance of winning, their status as favorites is clear, despite their current lower points tally.

    For those seeking value, the odds for a Servette win with Betsafe, Betsson, and Nordicbet offer a tempting proposition at 2.08. Given the model's 51% confidence, there's a 7% edge, making this an attractive option for the shrewd bettor. While the over 2.5 goals market is finely balanced at 52%, the numbers suggest a slight lean towards over, but it's the away win that's the sharpest play here.

    Lausanne SportLausanne Sport
    Form DLLDL
    League ranking xG #12xGA #3xT #12xP/match #11Points #10
    Key players
    • Beyatt LekoueiryRWxG 0.00 · xT 0.34
    • Kevin MouangaCBxG 0.03 · xT 0.04
    • Jamie RocheCMxG 0.03 · xT -0.01
    ServetteServette
    Form LWDLL
    League ranking xG #8xGA #4xT #6xP/match #6Points #12
    Key players
    • Florian AyéFxG 0.31 · xT 0.03
    • Samuel MrazFxG 0.87 · xT -0.02
    • Tiemoko OuattaraLWxG 0.20 · xT 0.10

    Match prediction: Lausanne SportServette

    Predicted score matrix

    Servette
    Lausanne Sport
    0
    1
    2
    3
    4+
    0
    0–06.6%
    0–110.3%
    0–29.0%
    0–35.1%
    0–4+3.2%
    1
    1–06.4%
    1–111.7%
    1–29.7%
    1–35.5%
    1–4+3.4%
    2
    2–03.6%
    2–16.1%
    2–25.2%
    2–32.9%
    2–4+1.8%
    3
    3–01.3%
    3–12.2%
    3–21.9%
    3–31.1%
    3–4+0.7%
    4+
    4+–00.4%
    4+–10.7%
    4+–20.6%
    4+–30.4%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.0-110%
    3. 3.1-210%
    4. 4.0-29%
    5. 5.0-07%
    Expected goals
    1,071,70
    Both teams to score
    54%

    Over/under goals

    Expected goals: 2,8
    Under 2,548%
    @2.23EV+5%
    Over 2,552%
    @1.66

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Servette to win51%
    • Over 1.5 goals77%

    Combined probability

    41%

    Fair odds

    2.42

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

    02 · 3 legs

    Balanced

    • Servette to win51%
    • Over 2.5 goals52%
    • Samuel Mráz to score26%

    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 score54%
    • Over 2.5 goals52%
    • Samuel Mráz to score26%
    • David Marc Michel Douline to be booked25%

    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 · Servette51% probability@2.08BetsafeEV+7%reference odds
    • 2 · Servette51% probability@2.08BetssonEV+7%reference odds
    • 2 · Servette51% probability@2.08NordicbetEV+7%reference odds
    Bookmaker1 · Lausanne SportX2 · Servette
    Betsafe3.103.45
    EV+ 7%
    2.08
    Betsson3.103.45
    EV+ 7%
    2.08
    Nordicbet3.103.45
    EV+ 7%
    2.08
    Pinnacle3.423.65
    EV+ 5%
    2.05

    Odds updated 11 Sept, 05:04

    Odds movement

    1+5 %
    31 %26 %

    3.253.42

    X-1 %
    28 %23 %

    3.683.65

    2-3 %
    48 %43 %

    2.112.05

    Pinnacle · 5 recorded price levels · 07/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    8 matches
    Lausanne Sport 2Draw 2Servette 4
    Goals: 913 (⌀ 2,8)

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

    Key facts

    • Servette dominate this fixture historically: 4 wins to 2 in 8 meetings.
    xG & xGA per match — 3-game rolling average

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

    Lausanne Sport
    Servette
    When goals are scored and conceded 2026
    Lausanne Sport (710)
    Servette (48)
    Pass networks

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

    Lausanne Sport
    Abdou Karim Sow: 212 passningar, xT 0.26SowOlivier da Costa Custodio: 182 passningar, xT 0.17CustodioMorgan Poaty: 163 passningar, xT 0.17PoatyFlorent Mollet: 155 passningar, xT 0MolletBrandon Soppy: 147 passningar, xT 0.43SoppyMelvin Feyçal Mastil: 128 passningar, xT 0.19MastilSékou Koné: 88 passningar, xT 0.28KonéTheo Andreas Bergvall: 80 passningar, xT 0.14BergvallJamie Roche: 80 passningar, xT -0.03RocheTyler Fredricson: 62 passningar, xT 0.08FredricsonKevin Mouanga: 62 passningar, xT 0.05Mouanga
    Servette
    Marco Burch: 273 passningar, xT 0.38BurchTimothe Cognat: 239 passningar, xT 1.1CognatSteve Rouiller: 239 passningar, xT 0.4RouillerPedro Henrique Naressi Machado: 189 passningar, xT 0.18MachadoBradley Mazikou: 175 passningar, xT 0.27MazikouQuentin Maceiras Pralong: 142 passningar, xT 0.72PralongEdvinas Gertmonas: 116 passningar, xT 0.23GertmonasLilian Njoh: 116 passningar, xT 0.4NjohMiroslav Stevanovic: 93 passningar, xT 0.86StevanovicDavid Douline: 73 passningar, xT 0.08DoulineHouboulang Mendes: 51 passningar, xT 0.11Mendes
    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.

    Lausanne Sport
    Abdou Karim Sow: 212 passningar, xT 0.26SowOlivier da Costa Custodio: 182 passningar, xT 0.17CustodioMorgan Poaty: 163 passningar, xT 0.17PoatyFlorent Mollet: 155 passningar, xT 0MolletBrandon Soppy: 147 passningar, xT 0.43SoppyMelvin Feyçal Mastil: 128 passningar, xT 0.19MastilSékou Koné: 88 passningar, xT 0.28KonéTheo Andreas Bergvall: 80 passningar, xT 0.14BergvallJamie Roche: 80 passningar, xT -0.03RocheTyler Fredricson: 62 passningar, xT 0.08FredricsonKevin Mouanga: 62 passningar, xT 0.05Mouanga
    Servette
    Marco Burch: 273 passningar, xT 0.38BurchTimothe Cognat: 239 passningar, xT 1.1CognatSteve Rouiller: 239 passningar, xT 0.4RouillerPedro Henrique Naressi Machado: 189 passningar, xT 0.18MachadoBradley Mazikou: 175 passningar, xT 0.27MazikouQuentin Maceiras Pralong: 142 passningar, xT 0.72PralongEdvinas Gertmonas: 116 passningar, xT 0.23GertmonasLilian Njoh: 116 passningar, xT 0.4NjohMiroslav Stevanovic: 93 passningar, xT 0.86StevanovicDavid Douline: 73 passningar, xT 0.08DoulineHouboulang Mendes: 51 passningar, xT 0.11Mendes

    The teams in numbers

    PerformanceLausanne SportServette
    Points64
    xPoints7.38.6
    xG per match0.761.5
    xGA per match1.31.4
    xG within 8s of winning the ball0.110.27
    xGA within 8s of losing the ball0.320.17
    Playing styleLausanne SportServette
    Build-up efficiency0.330.32
    Field tilt0.490.53
    xT per match0.721.2
    xTA per match1.11.2
    Won balls, offensive half2031
    Pressing intensity0.240.25
    Pressing efficiency0.320.28
    Pressing efficiency, offensive half0.250.25
    Entries into the box per match719
    Entries into the box against1513
    Pass completion %0.740.76
    Pass completion % under pressure0.690.7
    Passes per match330378
    Passes against per match337307
    Switches of play per match37.323.2
    Long balls per match4233
    Set piecesLausanne SportServette
    xG from free kicks0.070.1
    Corners per match3.56.9
    Corners against per match5.24.9
    xG per corner0.030.01
    xGA per corner against0.040.02
    First touch, offensive corners %0.480.43
    First touch, defensive corners %0.440.6
    OtherLausanne SportServette
    Throw-in control0.720.76
    The goalkeepersMelvin Feyçal Mastil (Lausanne Sport)Edvinas Gertmonas (Servette)
    Saves2913
    Save %74%68%
    xG prevented56%45%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Lausanne Sport vs Servette according to our model?

    The model gives Servette a 51% win probability. Full 1X2 picture: Lausanne Sport 22%, draw 27%, Servette 51%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 12% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 52% and under at 48%.

    Will both teams score?

    The probability of both teams scoring is 54% 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.