Conference League

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    NS
    NSILow block & direct
    22
    LuganoLuganoPossession & high press
    The model's lean: 2 · Lugano (77%)Best value by the model: Over 4,5 @ 3.55 (+18 %)

    NSILugano · Conference League

    1 · NSI 10%X 13%77% Lugano · 2

    Analysis: NSILugano

    Anna Karlsson · · How the predictions work

    Four straight wins tell you everything you need to know about FC Lugano's current form, and the numbers back it up. With an impressive expected goals tally of 2.78 compared to NSI's modest 1.02, it's clear who the bookmakers are favouring. The model gives Lugano a commanding 77% chance of victory, with NSI's slim 10% chance feeling more like a nod to the unpredictable nature of football than any real probability.

    FC Lugano stands tall with nine points and an xPoints margin of 5.3, compared to NSI's zeroes across the board. In their sole head-to-head since 2023, Lugano came out on top, but with just one match as a sample, these stats carry less weight than the commanding form Lugano currently boasts. NSI's defensive frailties are glaring; with an xGA of 3.1 per match, they are unlikely to keep Lugano's high-pressing attack at bay for long.

    The game is shaping up to be a high-scoring affair, with the over 2.5 goals probability standing at a hefty 73%. Both teams are predicted to score, with a 60% chance. While most likely scorelines suggest a 1-2 or 0-2 result, don't overlook the potential for a goal-fest. The over 4.5 goals market offers notable value here. With odds of 3.95 on Betsafe, Betsson, and Nordicbet, the model identifies a 31% edge, suggesting this could be a lucrative angle for the bold bettor.

    FC Lugano, with their possession-focused, high-pressure style, are primed to exploit NSI's weaknesses. Expect them to win comfortably, likely by a scoreline of 3-1, with the probability of a shot-stopping deluge already factored in. Keep an eye on that over 4.5 market; the value is undeniable.

    NSI
    Form L
    League ranking xG #31xGA #34xT #28xP/match #34Points #31
    LuganoLugano
    Form LWWWW
    League ranking xG #4xGA #9xT #4xP/match #9Points #2
    Key players
    • Renato SteffenFxG 0.34 · xT 0.27
    • Kevin BehrensFxG 1.15 · xT 0.11
    • Yanis CimignaniCMxG 0.15 · xT 0.20
    Final score
    22
    The model missed the outcome
    Predicted probabilities: NSI 10% · Draw 13% · Lugano 77%

    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 - LuganoBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 3,51fair 3,21+9 %
    Miss
    Matchresultat - NSÍ RunavíkBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 18,44fair 25,48-28 %
    Miss

    Match prediction: NSILugano

    Predicted score matrix

    Lugano
    NSI
    0
    1
    2
    3
    4+
    0
    0–02.4%
    0–16.0%
    0–28.6%
    0–38.0%
    0–4+10.9%
    1
    1–02.1%
    1–16.5%
    1–28.8%
    1–38.2%
    1–4+11.2%
    2
    2–01.2%
    2–13.2%
    2–24.5%
    2–34.2%
    2–4+5.7%
    3
    3–00.4%
    3–11.1%
    3–21.5%
    3–31.4%
    3–4+1.9%
    4+
    4+–00.1%
    4+–10.4%
    4+–20.5%
    4+–30.5%
    4+–4+0.6%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-29%
    2. 2.0-29%
    3. 3.1-38%
    4. 4.0-38%
    5. 5.1-17%
    Expected goals
    1,022,78
    Both teams to score
    60%

    Over/under goals

    Expected goals: 3,8
    Under 2,527%
    @2.58
    Over 2,573%
    @1.46EV+7%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Lugano to win77%
    • Over 1.5 goals89%

    Combined probability

    68%

    Fair odds

    1.48

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

    02 · 2 legs

    Balanced

    • Lugano to win77%
    • Over 2.5 goals73%

    Combined probability

    59%

    Fair odds

    1.70

    Result and goals are priced jointly from the matrix; the scorer is the model's most likely in the picked side.

    03 · 2 legs

    Bold

    • Both teams to score60%
    • Over 2.5 goals73%

    Combined probability

    54%

    Fair odds

    1.86

    The goal-fest: both teams score with at least three goals — combined with the match's most likely scorer and card candidate.

    Odds & value

    The model's value spots

    Bets where the model's probability beats what the odds imply (EV+).

    • Over 4.533% probability@3.55BetsafeEV+18%
    • Over 4.533% probability@3.55BetssonEV+18%
    • Over 4.533% probability@3.55NordicbetEV+18%
    Bookmaker1 · NSIX2 · Lugano
    Betsafe6.404.60
    EV+ 8%
    1.41
    Betsson6.404.60
    EV+ 8%
    1.41
    Nordicbet6.404.60
    EV+ 8%
    1.41
    Pinnacle8.065.281.28

    Odds updated 13 Aug, 11:35

    Odds movement

    1-1 %
    14 %9 %

    8.138.06

    X-1 %
    20 %15 %

    5.315.28

    20 %
    74 %69 %

    1.281.28

    Pinnacle · 2 recorded price levels · 09/08/2026 → 10/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    1 matches
    NSI 0Draw 0Lugano 1
    Goals: 02 (⌀ 2)

    Head-to-head based on Conference League data since 2023.

    Key facts

    • FC Lugano come into this round on 4 straight wins.
    xG & xGA per match — 3-game rolling average

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

    NSI
    Lugano
    When goals are scored and conceded 2026
    NSI (02)
    Lugano (81)
    Pass networks

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

    NSI
    Viljormur í Heiðunum Davidsen: 33 passningar, xT 0.06DavidsenDaniel Obbekjær: 30 passningar, xT 0.26ObbekjærFilip Drinic: 28 passningar, xT 0.02DrinicEmil Weihe Joensen: 26 passningar, xT -0.02JoensenTom Shiran Amos: 24 passningar, xT 0.04AmosAlex Freyr Elísson: 17 passningar, xT 0ElíssonBeinir Nolsøe: 16 passningar, xT -0.02NolsøeMarius Kryger Lindh: 15 passningar, xT -0.02LindhJann Julin Benjaminsen: 11 passningar, xT 0.17BenjaminsenSammy Solitaire Siddharta Skytte: 4 passningar, xT -0.01SkytteMichal Damian Przybylski: 3 passningar, xT 0.04Przybylski
    Lugano
    Uran Bislimi: 232 passningar, xT 0.84BislimiAnto Grgic: 195 passningar, xT 0.74GrgicMattia Zanotti: 145 passningar, xT 1.01ZanottiAntonios Papadopoulos: 125 passningar, xT 0.34PapadopoulosYanis Cimignani: 124 passningar, xT 0.54CimignaniRenato Steffen: 109 passningar, xT 0.62SteffenLukas Mai: 107 passningar, xT 0.19MaiDavid Von Ballmoos: 83 passningar, xT 0.02BallmoosDamian Kelvin: 80 passningar, xT 0.13KelvinDaniel Dos Santos: 74 passningar, xT -0.02SantosHannes Piterson Delcroix: 67 passningar, xT 0.35Delcroix
    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.

    NSI
    Viljormur í Heiðunum Davidsen: 33 passningar, xT 0.06DavidsenDaniel Obbekjær: 30 passningar, xT 0.26ObbekjærFilip Drinic: 28 passningar, xT 0.02DrinicEmil Weihe Joensen: 26 passningar, xT -0.02JoensenTom Shiran Amos: 24 passningar, xT 0.04AmosAlex Freyr Elísson: 17 passningar, xT 0ElíssonBeinir Nolsøe: 16 passningar, xT -0.02NolsøeMarius Kryger Lindh: 15 passningar, xT -0.02LindhJann Julin Benjaminsen: 11 passningar, xT 0.17BenjaminsenSammy Solitaire Siddharta Skytte: 4 passningar, xT -0.01SkytteMichal Damian Przybylski: 3 passningar, xT 0.04Przybylski
    Lugano
    Uran Bislimi: 232 passningar, xT 0.84BislimiAnto Grgic: 195 passningar, xT 0.74GrgicMattia Zanotti: 145 passningar, xT 1.01ZanottiAntonios Papadopoulos: 125 passningar, xT 0.34PapadopoulosYanis Cimignani: 124 passningar, xT 0.54CimignaniRenato Steffen: 109 passningar, xT 0.62SteffenLukas Mai: 107 passningar, xT 0.19MaiDavid Von Ballmoos: 83 passningar, xT 0.02BallmoosDamian Kelvin: 80 passningar, xT 0.13KelvinDaniel Dos Santos: 74 passningar, xT -0.02SantosHannes Piterson Delcroix: 67 passningar, xT 0.35Delcroix

    The teams in numbers

    PerformanceNSILugano
    Points09
    xPoints0.75.3
    xG per match0.672.8
    xGA per match3.10.92
    xG within 8s of winning the ball0.070.57
    xGA within 8s of losing the ball0.650.1
    Playing styleNSILugano
    Build-up efficiency0.190.31
    Field tilt0.070.91
    xT per match0.622.1
    xTA per match30.51
    Won balls, offensive half1530
    Pressing intensity0.310.2
    Pressing efficiency0.220.27
    Pressing efficiency, offensive half0.180.25
    Entries into the box per match422
    Entries into the box against345
    Pass completion %0.690.85
    Pass completion % under pressure0.740.8
    Passes per match213532
    Passes against per match565212
    Switches of play per match23.334.5
    Long balls per match2732
    Set piecesNSILugano
    xG from free kicks0.290.03
    Corners per match39
    Corners against per match15.22.3
    xG per corner00.05
    xGA per corner against0.070.09
    First touch, offensive corners %0.330.59
    First touch, defensive corners %0.330.57
    OtherNSILugano
    Throw-in control0.770.81
    The goalkeepersTom Shiran Amos (NSI)David Von Ballmoos (Lugano)
    Saves67
    Save %75%88%
    xG prevented69%32%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins NSI vs Lugano according to our model?

    The model gives Lugano a 77% win probability. Full 1X2 picture: NSI 10%, draw 13%, Lugano 77%.

    What is the most likely scoreline?

    The model's most likely final score is 1-2 at 9% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 73% and under at 27%.

    Will both teams score?

    The probability of both teams scoring is 60% 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.