Ligue 1Allianz Riviera, Nice22°15 km/h

    Läs på svenska
    NiceNiceBalanced & physical
    vs
    LilleLilleBalanced & physical
    The model's lean: 2 · Lille (47%)Best value by the model: Under 2,5 @ 1.91 (+3 %)

    NiceLille · Ligue 1

    1 · Nice 27%X 26%47% Lille · 2

    Analysis: NiceLille

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

    TEXT: With a 47% win probability, the model clearly favors Lille to triumph over Nice, hinting at a likely visitors' edge in this Ligue 1 clash. The most probable scorelines also lean towards Lille, with a 0-1 or 1-2 outcome looking plausible. This aligns with Lille's recent form, as they've amassed seven points compared to Nice's two, highlighting a consistent performance advantage.

    Digging deeper into expected goals, Lille again has the upper hand, generating 1.49 xG per match versus Nice's 1.04. While both teams adopt a balanced and physical style, it's Lille's ability to produce more scoring opportunities that could tilt the match in their favor. Despite Nice's slightly better defensive record in terms of expected goals against (xGA), Lille's offensive prowess remains formidable.

    The head-to-head record since 2022 is balanced, with each team winning once and drawing twice. However, the small sample size of four games makes this less indicative of future outcomes than the current season's form and underlying metrics. Lille's xPoints also surpass Nice's, further underlining their potential to control the match.

    The over/under goal line sits at a tight 46% for over 2.5 goals, reinforcing the expectation for a potentially low-scoring affair given each side's defensive tendencies. Both teams to score is a coin flip at 50%, suggesting that a narrow victory might be on the cards.

    Considering the analysis, Lille appears to offer value based on the model's lean toward the visitors. While no guarantee, this reflects Lille's superior form and offensive metrics. Savvy bettors might find this an appealing angle in a match where the visitors seem poised to capitalize.

    NiceNice
    Form LDDLD
    League ranking xG #18xGA #10xT #10xP/match #18Points #15
    Key players
    • Sepe Elye Delmas WahiFxG 0.16 · xT -0.07
    • Jonathan ClaussRWxG 0.19 · xT 0.48
    • Mohamed AbdelmonemRWxG 0.07 · xT 0.21
    LilleLille
    Form WLWDW
    League ranking xG #12xGA #15xT #16xP/match #9Points #3
    Key players
    • Ethan MbappeFxG 0.33 · xT 0.14
    • Hákon Arnar HaraldssonCMxG 0.23 · xT 0.15
    • Tiago Carvalho SantosRWBxG 0.12 · xT 0.13

    Match prediction: NiceLille

    Predicted score matrix

    Lille
    Nice
    0
    1
    2
    3
    4+
    0
    0–08.4%
    0–111.6%
    0–28.9%
    0–34.4%
    0–4+2.3%
    1
    1–07.9%
    1–112.7%
    1–29.2%
    1–34.6%
    1–4+2.4%
    2
    2–04.3%
    2–16.4%
    2–24.8%
    2–32.4%
    2–4+1.2%
    3
    3–01.5%
    3–12.2%
    3–21.6%
    3–30.8%
    3–4+0.4%
    4+
    4+–00.5%
    4+–10.7%
    4+–20.5%
    4+–30.3%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.0-112%
    3. 3.1-29%
    4. 4.0-29%
    5. 5.0-08%
    Expected goals
    1,041,49
    Both teams to score
    50%

    Over/under goals

    Expected goals: 2,5
    Under 2,554%
    @1.91EV+3%
    Over 2,546%
    @1.91

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Lille to win47%
    • Under 3.5 goals75%

    Combined probability

    34%

    Fair odds

    2.94

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

    02 · 3 legs

    Balanced

    • Lille to win47%
    • Under 2.5 goals54%
    • Soriba Diaoune to score27%

    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 score50%
    • Over 2.5 goals46%
    • Soriba Diaoune to score27%
    • Antoine Mendy to be booked18%

    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 2.554% probability@1.91BetsafeEV+3%reference odds
    • Under 2.554% probability@1.91BetssonEV+3%reference odds
    • Under 2.554% probability@1.91NordicbetEV+3%reference odds
    Bookmaker1 · NiceX2 · Lille
    Betsafe3.453.402.08
    Betsson3.453.402.08
    Nordicbet3.453.402.08

    Odds updated 11 Sept, 07:38

    Statistics

    Head-to-head

    4 matches
    Nice 1Draw 2Lille 1
    Goals: 54 (⌀ 2,2)

    Head-to-head based on Ligue 1 data since 2022.

    xG & xGA per match — 3-game rolling average

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

    Nice
    Lille
    When goals are scored and conceded 2026
    Nice (14)
    Lille (52)
    Pass networks

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

    Nice
    Youssouf Ndayishimiye: 290 passningar, xT 0.19NdayishimiyeXavier Junior Mandza Tsiendi: 235 passningar, xT 0.18TsiendiMohamed Abdelmonem: 160 passningar, xT 0.31AbdelmonemGauthier Hein: 143 passningar, xT 0.15HeinJonathan Clauss: 122 passningar, xT 1.03ClaussYehvann Diouf: 121 passningar, xT 0.08DioufAntoine Mendy: 114 passningar, xT 0.16MendySofiane Daouda Diop: 94 passningar, xT 0.45DiopDjibril Coulibaly: 88 passningar, xT 0.01CoulibalyAxel Laurent Angel Lambert Witsel: 80 passningar, xT -0.05WitselMelvin Bard: 71 passningar, xT 0.02Bard
    Lille
    Alexsandro Victor de Souza Ribeiro: 124 passningar, xT 0.15RibeiroNathan Ngoy: 119 passningar, xT 0.07NgoyNabil Bentaleb: 105 passningar, xT 0.15BentalebBerke Özer: 102 passningar, xT 0.02ÖzerHákon Arnar Haraldsson: 76 passningar, xT 0.13HaraldssonTiago Carvalho Santos: 73 passningar, xT 0.24SantosRomain Perraud: 63 passningar, xT 0.15PerraudBenjamin Michel Édouard André: 57 passningar, xT -0.02AndréNgal'ayel Mukau: 48 passningar, xT 0.03MukauEthan Mbappe: 47 passningar, xT 0.18MbappeCalvin Verdonk: 27 passningar, xT 0.05Verdonk
    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.

    Nice
    Youssouf Ndayishimiye: 290 passningar, xT 0.19NdayishimiyeXavier Junior Mandza Tsiendi: 235 passningar, xT 0.18TsiendiMohamed Abdelmonem: 160 passningar, xT 0.31AbdelmonemGauthier Hein: 143 passningar, xT 0.15HeinJonathan Clauss: 122 passningar, xT 1.03ClaussYehvann Diouf: 121 passningar, xT 0.08DioufAntoine Mendy: 114 passningar, xT 0.16MendySofiane Daouda Diop: 94 passningar, xT 0.45DiopDjibril Coulibaly: 88 passningar, xT 0.01CoulibalyAxel Laurent Angel Lambert Witsel: 80 passningar, xT -0.05WitselMelvin Bard: 71 passningar, xT 0.02Bard
    Lille
    Alexsandro Victor de Souza Ribeiro: 124 passningar, xT 0.15RibeiroNathan Ngoy: 119 passningar, xT 0.07NgoyNabil Bentaleb: 105 passningar, xT 0.15BentalebBerke Özer: 102 passningar, xT 0.02ÖzerHákon Arnar Haraldsson: 76 passningar, xT 0.13HaraldssonTiago Carvalho Santos: 73 passningar, xT 0.24SantosRomain Perraud: 63 passningar, xT 0.15PerraudBenjamin Michel Édouard André: 57 passningar, xT -0.02AndréNgal'ayel Mukau: 48 passningar, xT 0.03MukauEthan Mbappe: 47 passningar, xT 0.18MbappeCalvin Verdonk: 27 passningar, xT 0.05Verdonk

    The teams in numbers

    PerformanceNiceLille
    Points27
    xPoints2.64.2
    xG per match0.811.3
    xGA per match1.52.1
    xG within 8s of winning the ball0.10.5
    xGA within 8s of losing the ball0.510.4
    Playing styleNiceLille
    Build-up efficiency0.280.32
    Field tilt0.680.27
    xT per match1.10.71
    xTA per match11.7
    Won balls, offensive half3321
    Pressing intensity0.240.26
    Pressing efficiency0.230.22
    Pressing efficiency, offensive half0.190.19
    Entries into the box per match1611
    Entries into the box against920
    Pass completion %0.840.79
    Pass completion % under pressure0.80.76
    Passes per match567328
    Passes against per match406544
    Switches of play per match35.118.4
    Long balls per match3927
    Set piecesNiceLille
    xG from free kicks00
    Corners per match6.11.7
    Corners against per match2.46.5
    xG per corner0.030
    xGA per corner against0.060.04
    First touch, offensive corners %0.440.2
    First touch, defensive corners %0.290.42
    OtherNiceLille
    Throw-in control0.80.48
    The goalkeepersYehvann Diouf (Nice)Berke Özer (Lille)
    Saves613
    Save %60%87%
    xG prevented31%92%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Nice vs Lille according to our model?

    The model gives Lille a 47% win probability. Full 1X2 picture: Nice 27%, draw 26%, Lille 47%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 13% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 46% and under at 54%.

    Will both teams score?

    The probability of both teams scoring is 50% 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.