Swiss Super LeagueStade de la Tuilière, Lausanne8°12 km/h

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    Lausanne SportLausanne SportPossession control
    vs
    ThunThunLow block & direct
    The model's lean: 2 · Thun (42%)Best value by the model: Under 2,5 @ 2.40 (+6 %)

    Lausanne Sport vs Thun · Swiss Super League

    1 · Lausanne Sport 30%X 28%42% Thun · 2

    Prediction summary

    BetBuilders AI model prediction for Lausanne Sport vs Thun (Swiss Super League, Sunday, 1 November 2026): Lausanne Sport win 30%, draw 28%, Thun win 42%. Expected goals (xG): Lausanne Sport 1.30, Thun 1.62. Most likely score: 1-1 (12%). Over 2.5 goals 56%, both teams to score 59%. Double chance: Lausanne Sport or draw 58%, Thun or draw 70%. Prediction updated Friday, 23 October 2026.

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    Analysis: Lausanne Sport – Thun

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

    Across four meetings since 2023, Lausanne Sport have one win, one draw and two losses against Thun. That is a visitor edge, but the sample is small and weighs less than current form and expected goals. The hosts arrive on five straight defeats; the head-to-head does not explain that run, but it sits neatly beside it. Thun hold the stronger model probability at 42%, against 30% for Lausanne and 28% for the draw.

    The season numbers are not subtle. The visitors lead 10 points to 6 and xPoints 12.2 to 10.7, while their 1.6 xG per match dwarfs the hosts’ 0.85. Lausanne’s defensive xGA is better, 1.6 against 2.2, yet that does not erase the attacking gap. Possession control from the home side meets a low-defence, direct Thun approach: a matchup that can leave the ball with Lausanne but the cleaner chances with the visitors.

    The analysis points to Thun, not because the league table says so but because the chance creation does. Still, the single most likely scoreline is 1-1 at 12%, ahead of 1-2 at 9% and 0-1 at 8%. That tension matters. The model sees Thun as the likelier winner across the full range of outcomes, but it also sees a draw as a live result. Expected goals of 1.30 and 1.62 support both teams scoring at 59%.

    Over 2.5 goals gets the model’s marginal lean at 56%, so the game profile is not naturally an under call. The price changes the verdict. Under 2.5 at 2.4 is assessed as EV+ by the model at 44%, a 6% edge, available with Betsafe and LeoVegas. The cleaner angle is under 3.5 at 1.6 with LeoVegas: model probability 66%, again a 6% edge.

    Lausanne SportLausanne Sport
    Form LLLLL
    League ranking xG #12xGA #6xT #12xP/match #12Points #12
    Key players
    • Kevin MouangaCBxG 0.03 · xT 0.04
    • Jamie RocheCMxG 0.03 · xT -0.01
    • Abdou Karim SowCBxG 0.09 · xT 0.05
    ThunThun
    Form LLWLL
    League ranking xG #9xGA #12xT #7xP/match #11Points #9
    Key players
    • Fabio FehrRWBxG 0.12 · xT 0.25
    • Brighton LabeauFxG 0.28 · xT 0.15
    • Justin RothFxG 0.03 · xT 0.03

    Match prediction: Lausanne Sport – Thun

    Predicted score matrix

    Thun →
    Lausanne Sport →
    0
    1
    2
    3
    4+
    0
    0–05.7%
    0–18.4%
    0–27.1%
    0–33.8%
    0–4+2.2%
    1
    1–06.7%
    1–111.7%
    1–29.2%
    1–35.0%
    1–4+2.9%
    2
    2–04.6%
    2–17.4%
    2–26.0%
    2–33.2%
    2–4+1.9%
    3
    3–02.0%
    3–13.2%
    3–22.6%
    3–31.4%
    3–4+0.8%
    4+
    4+–00.9%
    4+–11.4%
    4+–21.1%
    4+–30.6%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-29%
    3. 3.0-18%
    4. 4.2-17%
    5. 5.0-27%
    Expected goals
    1,30–1,62
    Both teams to score
    59%

    Over/under goals

    Expected goals: 2,9
    Under 2,544%
    @2.40EV+6%
    Over 2,556%
    @1.50

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Thun or draw (X2)70%
    • Over 1.5 goals79%

    Combined probability

    56%

    Fair odds

    1.80

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

    02 · 3 legs

    Balanced

    • Double chance Thun or draw (X2)70%
    • Over 2.5 goals56%
    • Brighton Andy Labeau Melchior 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 score59%
    • Over 2.5 goals56%
    • Brighton Andy Labeau Melchior to score24%
    • Sékou Koné 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+).

    • Under 2.544% probability@2.40BetsafeEV+6%reference odds
    • Under 2.544% probability@2.40LeoVegasEV+6%reference odds
    • Under 2.544% probability@2.40NordicbetEV+6%reference odds
    Bookmaker1 · Lausanne SportX2 · Thun
    Betsafe2.42
    EV+ 0%
    3.55
    EV+ 5%
    2.52
    LeoVegas2.40
    EV+ 3%
    3.65
    EV+ 4%
    2.50
    Nordicbet2.42
    EV+ 0%
    3.55
    EV+ 5%
    2.52

    Odds updated 27 Oct, 13:36

    Odds movement

    1-4 %
    40 %35 %

    2.50 → 2.40

    X+4 %
    28 %23 %

    3.50 → 3.65

    2+2 %
    40 %35 %

    2.45 → 2.50

    Over 2,5+2 %
    65 %60 %

    1.47 → 1.50

    LeoVegas · 6 recorded price levels · 25/10/2026 → 27/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Lausanne Sport 1Draw 1Thun 2
    Goals: 4–8 (⌀ 3)

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

    Key facts

    • Lausanne Sport have lost 5 in a row.
    xG & xGA per match — 3-game rolling average

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

    Lausanne Sport
    Thun
    When goals are scored and conceded — 2026
    Lausanne Sport (7–17)
    Thun (19–30)
    Pass networks

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

    Lausanne Sport
    Morgan Poaty: 163 passningar, xT 0.59PoatyNicolas Louis Marcel Cozza: 162 passningar, xT 0.36CozzaÉtienne Ludovic Youté Kinkoué: 155 passningar, xT 0.21KinkouéAbdou Karim Sow: 131 passningar, xT 0.15SowMelvin Feyçal Mastil: 120 passningar, xT 0.2MastilBrandon Soppy: 109 passningar, xT 0.49SoppyFlorent Mollet: 107 passningar, xT 0.4MolletSékou Koné: 72 passningar, xT 0.18KonéAlexis Blin: 69 passningar, xT 0.01BlinOlivier da Costa Custodio: 69 passningar, xT 0.25CustodioDircssi Ngonzo: 58 passningar, xT 0.09Ngonzo
    Thun
    Nassim-Othmane Zoukit: 169 passningar, xT 0.27ZoukitJustin Roth: 165 passningar, xT 0.12RothJan Bamert: 147 passningar, xT 0.31BamertFabio Fehr: 137 passningar, xT 1.44FehrNicolas Sandro Bürgy: 130 passningar, xT 0.42BürgyNiklas Steffen: 123 passningar, xT 0.13SteffenTom Henning Strannegård: 108 passningar, xT 0.61StrannegårdMattias Kait: 74 passningar, xT -0.02KaitNils Reichmuth: 67 passningar, xT 1.02ReichmuthFabio Saiz Pennarossa: 53 passningar, xT 0.07PennarossaBrighton Labeau: 46 passningar, xT 0.48Labeau
    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
    Morgan Poaty: 163 passningar, xT 0.59PoatyNicolas Louis Marcel Cozza: 162 passningar, xT 0.36CozzaÉtienne Ludovic Youté Kinkoué: 155 passningar, xT 0.21KinkouéAbdou Karim Sow: 131 passningar, xT 0.15SowMelvin Feyçal Mastil: 120 passningar, xT 0.2MastilBrandon Soppy: 109 passningar, xT 0.49SoppyFlorent Mollet: 107 passningar, xT 0.4MolletSékou Koné: 72 passningar, xT 0.18KonéAlexis Blin: 69 passningar, xT 0.01BlinOlivier da Costa Custodio: 69 passningar, xT 0.25CustodioDircssi Ngonzo: 58 passningar, xT 0.09Ngonzo
    Thun
    Nassim-Othmane Zoukit: 169 passningar, xT 0.27ZoukitJustin Roth: 165 passningar, xT 0.12RothJan Bamert: 147 passningar, xT 0.31BamertFabio Fehr: 137 passningar, xT 1.44FehrNicolas Sandro Bürgy: 130 passningar, xT 0.42BürgyNiklas Steffen: 123 passningar, xT 0.13SteffenTom Henning Strannegård: 108 passningar, xT 0.61StrannegårdMattias Kait: 74 passningar, xT -0.02KaitNils Reichmuth: 67 passningar, xT 1.02ReichmuthFabio Saiz Pennarossa: 53 passningar, xT 0.07PennarossaBrighton Labeau: 46 passningar, xT 0.48Labeau

    The teams in numbers

    PerformanceLausanne SportThun
    Points610
    xPoints10.712.2
    xG per match0.851.6
    xGA per match1.62.2
    xG within 8s of winning the ball0.140.28
    xGA within 8s of losing the ball0.290.39
    Playing styleLausanne SportThun
    Build-up efficiency0.330.33
    Field tilt0.470.46
    xT per match0.81.1
    xTA per match1.11.3
    Won balls, offensive half2429
    Pressing intensity0.240.24
    Pressing efficiency0.30.32
    Pressing efficiency, offensive half0.240.29
    Entries into the box per match915
    Entries into the box against1414
    Pass completion %0.740.7
    Pass completion % under pressure0.670.64
    Passes per match328279
    Passes against per match366312
    Switches of play per match36.925.7
    Long balls per match4237
    Set piecesLausanne SportThun
    xG from free kicks0.060.09
    Corners per match4.85.6
    Corners against per match5.25.1
    xG per corner0.020.03
    xGA per corner against0.050.06
    First touch, offensive corners %0.420.39
    First touch, defensive corners %0.410.47
    OtherLausanne SportThun
    Throw-in control0.730.7
    The goalkeepersMelvin Feyçal Mastil (Lausanne Sport)Niklas Steffen (Thun)
    Saves4035
    Save %71%54%
    xG prevented40%30%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Lausanne Sport vs Thun according to our model?

    The model gives Thun a 42% win probability. Full 1X2 picture: Lausanne Sport 30%, draw 28%, Thun 42%.

    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 56% and under at 44%.

    Will both teams score?

    The probability of both teams scoring is 59% according to the model.

    How many goals are expected in Lausanne Sport vs Thun?

    The model expects 1.30 goals (xG) for Lausanne Sport and 1.62 for Thun, 2.92 in total.

    What does the model say about double chance?

    Lausanne Sport or draw (1X) 58%, Thun or draw (X2) 70% and no draw (12) 72%.

    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.