Swiss Super LeagueStade de Tourbillon, Sion22°0,1 mm9 km/h

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    SionSionCounter-attacks & crosses
    vs
    LuganoLuganoPossession & high press
    The model's lean: 2 · Lugano (40%)

    SionLugano · Swiss Super League

    1 · Sion 31%X 29%40% Lugano · 2

    Analysis: SionLugano

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

    TEXT holds except for one error: the 1-1 scoreline probability is misstated.

    Four straight wins make Lugano a team to fear, and the model backs them with a 40% win probability against Sion’s 31%. They bring a high press and possession game to a fixture known for averaging 3.0 goals, where both sides have consistently found the net in their last 14 league outings. This sets the stage for a dynamic clash.

    Despite a small head-to-head sample of seven matches since 2023, which shows an even balance, the real story is in the numbers this season. Sion’s counter-attacking style shines in their higher xG per match at 2.1 compared to Lugano’s 1.9. Yet, it’s Lugano’s defense, conceding just 1.1 xGA per match, that might prove decisive against Sion’s leaky backline, letting in 2.0 xGA per match.

    The visitors' superior form and defensive solidity tilt the scales in their favor, despite the hosts’ impressive scoring run. A 1-1 draw (12%) is the most likely scoreline, followed by 0-1 and 1-2 away wins, both at 9% probability. The expected goals hint at a close contest, with Lugano slightly ahead at 1.49 over Sion’s 1.28. The over 2.5 goals probability of 52% and a 56% chance for both teams to score further underline the offensive potential.

    For those eyeing value, the away win at odds of 2.95 with Betsafe, Betsson, and Nordicbet presents a 19% edge according to the model’s 40% win probability for Lugano. In a match poised on a knife-edge, backing Lugano seems the shrewd move.

    SionSion
    Form DDLWW
    League ranking xG #3xGA #9xT #2xP/match #7Points #5
    Key players
    • Winsley BoteliFxG 1.17 · xT -0.05
    • Numa LavanchyRWBxG 0.05 · xT 0.42
    • Donat RrudhaniLWxG 0.24 · xT 0.26
    LuganoLugano
    Form DWWWW
    League ranking xG #5xGA #3xT #1xP/match #3Points #2
    Key players
    • Renato SteffenFxG 0.21 · xT 0.44
    • Dereck Alessandro Moncada ArguijoFxG 0.58 · xT 0.09
    • Ezgjan AlioskiLWBxG 0.06 · xT 0.32

    Match prediction: SionLugano

    Predicted score matrix

    Lugano
    Sion
    0
    1
    2
    3
    4+
    0
    0–06.6%
    0–19.0%
    0–26.9%
    0–33.4%
    0–4+1.8%
    1
    1–07.7%
    1–112.3%
    1–28.9%
    1–34.4%
    1–4+2.3%
    2
    2–05.2%
    2–17.7%
    2–25.7%
    2–32.8%
    2–4+1.5%
    3
    3–02.2%
    3–13.3%
    3–22.4%
    3–31.2%
    3–4+0.6%
    4+
    4+–00.9%
    4+–11.4%
    4+–21.0%
    4+–30.5%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.0-19%
    3. 3.1-29%
    4. 4.1-08%
    5. 5.2-18%
    Expected goals
    1,281,49
    Both teams to score
    56%

    Over/under goals

    Expected goals: 2,8
    Under 2,548%
    @2.40EV+15%
    Over 2,552%
    @1.50

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Lugano or draw (X2)68%
    • Over 1.5 goals77%

    Combined probability

    52%

    Fair odds

    1.92

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

    02 · 3 legs

    Balanced

    • Double chance Lugano or draw (X2)68%
    • Over 2.5 goals52%
    • Kevin Behrens to score32%

    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 score56%
    • Over 2.5 goals52%
    • Kevin Behrens to score32%
    • Anto Grgic 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+).

    • 2 · Lugano40% probability@3.34PinnacleEV+35%reference odds
    • 2 · Lugano40% probability@3.05BetsafeEV+23%reference odds
    • 2 · Lugano40% probability@3.05BetssonEV+23%reference odds
    Bookmaker1 · SionX2 · Lugano
    Betsafe2.103.45
    EV+ 23%
    3.05
    Betsson2.103.45
    EV+ 23%
    3.05
    Nordicbet2.103.45
    EV+ 23%
    3.05
    Pinnacle2.213.31
    EV+ 35%
    3.34

    Odds updated 26 Aug, 16:37

    Odds movement

    10 %
    45 %40 %

    2.212.21

    X0 %
    31 %26 %

    3.313.31

    20 %
    31 %26 %

    3.343.34

    Pinnacle · 2 recorded price levels · 23/08/2026 → 26/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    7 matches
    Sion 2Draw 3Lugano 2
    Goals: 129 (⌀ 3)

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

    Key facts

    • A high-scoring fixture: 3.0 goals per meeting on average.
    • Sion have scored in 14 consecutive league matches.
    • FC Lugano come into this round on 4 straight wins.
    • FC Lugano have scored in 14 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    Sion
    Lugano
    When goals are scored and conceded 2026
    Sion (86)
    Lugano (112)
    Pass networks

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

    Sion
    Ali Kabacalman: 170 passningar, xT 0.31KabacalmanJan Kronig: 167 passningar, xT 0.23KronigBaltazar Costa Rodrigues de Oliveira: 156 passningar, xT 0.51OliveiraNuma Lavanchy: 155 passningar, xT 1.1LavanchyNoe Sow: 129 passningar, xT 0.16SowNias Hefti: 76 passningar, xT 0.42HeftiAnthony Racioppi: 67 passningar, xT 0.04RacioppiIlyas Chouaref: 66 passningar, xT 0.91ChouarefDonat Rrudhani: 64 passningar, xT 0.38RrudhaniMarquinhos Cipriano: 51 passningar, xT 0.55CiprianoFode Sanassy Sylla: 49 passningar, xT 0.02Sylla
    Lugano
    Uran Bislimi: 195 passningar, xT 0.62BislimiAnto Grgic: 184 passningar, xT 0.61GrgicLukas Mai: 168 passningar, xT 0.39MaiAntonios Papadopoulos: 125 passningar, xT 0.33PapadopoulosEzgjan Alioski: 104 passningar, xT 0.64AlioskiDavid Von Ballmoos: 89 passningar, xT 0.15BallmoosYanis Cimignani: 81 passningar, xT 0.47CimignaniRenato Steffen: 74 passningar, xT 0.65SteffenMattia Zanotti: 69 passningar, xT 0.45ZanottiJoel Bichsel: 68 passningar, xT 0.1BichselHannes Piterson Delcroix: 49 passningar, xT 0.38Delcroix
    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.

    Sion
    Ali Kabacalman: 170 passningar, xT 0.31KabacalmanJan Kronig: 167 passningar, xT 0.23KronigBaltazar Costa Rodrigues de Oliveira: 156 passningar, xT 0.51OliveiraNuma Lavanchy: 155 passningar, xT 1.1LavanchyNoe Sow: 129 passningar, xT 0.16SowNias Hefti: 76 passningar, xT 0.42HeftiAnthony Racioppi: 67 passningar, xT 0.04RacioppiIlyas Chouaref: 66 passningar, xT 0.91ChouarefDonat Rrudhani: 64 passningar, xT 0.38RrudhaniMarquinhos Cipriano: 51 passningar, xT 0.55CiprianoFode Sanassy Sylla: 49 passningar, xT 0.02Sylla
    Lugano
    Uran Bislimi: 195 passningar, xT 0.62BislimiAnto Grgic: 184 passningar, xT 0.61GrgicLukas Mai: 168 passningar, xT 0.39MaiAntonios Papadopoulos: 125 passningar, xT 0.33PapadopoulosEzgjan Alioski: 104 passningar, xT 0.64AlioskiDavid Von Ballmoos: 89 passningar, xT 0.15BallmoosYanis Cimignani: 81 passningar, xT 0.47CimignaniRenato Steffen: 74 passningar, xT 0.65SteffenMattia Zanotti: 69 passningar, xT 0.45ZanottiJoel Bichsel: 68 passningar, xT 0.1BichselHannes Piterson Delcroix: 49 passningar, xT 0.38Delcroix

    The teams in numbers

    PerformanceSionLugano
    Points69
    xPoints44.6
    xG per match2.11.9
    xGA per match21.1
    xG within 8s of winning the ball0.450.18
    xGA within 8s of losing the ball0.480.3
    Playing styleSionLugano
    Build-up efficiency0.330.31
    Field tilt0.60.64
    xT per match1.91.9
    xTA per match1.30.87
    Won balls, offensive half2530
    Pressing intensity0.220.21
    Pressing efficiency0.340.3
    Pressing efficiency, offensive half0.310.28
    Entries into the box per match1819
    Entries into the box against168
    Pass completion %0.80.81
    Pass completion % under pressure0.760.79
    Passes per match419456
    Passes against per match290330
    Switches of play per match29.827.2
    Long balls per match3035
    Set piecesSionLugano
    xG from free kicks0.030.02
    Corners per match4.35.9
    Corners against per match3.92.6
    xG per corner0.030.04
    xGA per corner against0.010.01
    First touch, offensive corners %0.690.5
    First touch, defensive corners %0.330.62
    OtherSionLugano
    Throw-in control0.740.71
    The goalkeepersAnthony Racioppi (Sion)David Von Ballmoos (Lugano)
    Saves106
    Save %63%75%
    xG prevented31%54%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Sion vs Lugano according to our model?

    The model gives Lugano a 40% win probability. Full 1X2 picture: Sion 31%, draw 29%, Lugano 40%.

    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 56% 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.