Ligue 1Stade Louis II, Monaco16°12 km/h

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    MonacoMonacoLow block & direct
    vs
    LilleLilleCounter-attacks & crosses
    The model's lean: 1 · Monaco (49%)

    Monaco vs Lille · Ligue 1

    1 · Monaco 49%X 26%26% Lille · 2

    Prediction summary

    BetBuilders AI model prediction for Monaco vs Lille (Ligue 1, Sunday, 25 October 2026): Monaco win 49%, draw 26%, Lille win 26%. Expected goals (xG): Monaco 1.63, Lille 1.14. Most likely score: 1-1 (12%). Over 2.5 goals 52%, both teams to score 55%. Double chance: Monaco or draw 74%, Lille or draw 51%. Prediction updated Friday, 16 October 2026.

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    Analysis: Monaco – Lille

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

    TEXT: Monaco enters this clash with a statistical edge, holding a 49% probability of victory against Lille's 26%. However, historical head-to-head figures muddy the waters, as Les Monégasques have failed to win any of their last four encounters with Lille since 2022. Despite this, the model leans toward a home win, supported by a 65% win rate across their all-time home matches (37 played).

    Expected goals (xG) provide a clearer lens to examine this matchup. Monaco is predicted to score 1.63 goals, compared to Lille’s 1.14. The numbers suggest a game that could swing either way, with Monaco's direct style opposing Lille's counter-attacking and crossing approach. With 52% favoring over 2.5 goals and a 55% probability for both teams to find the net, the likelihood of a competitive contest remains high.

    Lille edges Monaco in several advanced metrics, including xPoints (10.6 vs 8.4) and xG per match (1.4 vs 1.1), hinting that they may prove a tougher adversary than the odds suggest. Additionally, Lille’s efficiency in creating xG within eight seconds of winning the ball (0.31 vs 0.22) underscores their threat on the break.

    For punters seeking value, an interesting angle emerges. Three bookmakers offer odds on a Monaco win that present a positive expected value: 2.15 with LeoVegas and 2.12 with both Betsafe and Nordicbet. These odds offer a 3-5% edge over the model’s assessment of Monaco's chances.

    Expect a narrow game, potentially settled by a single goal. A 1-0 or 2-1 scoreline in favor of the hosts seems plausible, aligning with the most likely outcomes. Consider the over 2.5 goals market cautiously, yet the real opportunity lies in backing Monaco at favorable odds, despite their recent struggles against Lille.

    MonacoMonaco
    Form WDWDL
    League ranking xG #17xGA #9xT #14xP/match #13Points #4
    Key players
    • Lamine CamaraCMxG 0.05 · xT 0.04
    • Eric DierCBxG 0.06 · xT 0.05
    • Paris BrunnerFxG 0.57 · xT 0.01
    LilleLille
    Form WWLWD
    League ranking xG #11xGA #7xT #12xP/match #5Points #3
    Key players
    • Tiago Carvalho SantosRWBxG 0.10 · xT 0.21
    • Nabil BentalebCMxG 0.04 · xT 0.07
    • Dilane BakwaRWxG 0.23 · xT 0.10

    Match prediction: Monaco – Lille

    Predicted score matrix

    Lille →
    Monaco →
    0
    1
    2
    3
    4+
    0
    0–06.6%
    0–16.8%
    0–24.1%
    0–31.6%
    0–4+0.6%
    1
    1–09.9%
    1–112.0%
    1–26.7%
    1–32.5%
    1–4+0.9%
    2
    2–08.3%
    2–19.5%
    2–25.4%
    2–32.1%
    2–4+0.8%
    3
    3–04.5%
    3–15.1%
    3–22.9%
    3–31.1%
    3–4+0.4%
    4+
    4+–02.6%
    4+–13.0%
    4+–21.7%
    4+–30.7%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-010%
    3. 3.2-19%
    4. 4.2-08%
    5. 5.0-17%
    Expected goals
    1,63–1,14
    Both teams to score
    55%

    Over/under goals

    Expected goals: 2,8
    Under 2,548%
    @2.16EV+3%
    Over 2,552%
    @1.86

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    01 · 2 legs

    Safe

    • Monaco to win49%
    • Over 1.5 goals77%

    Combined probability

    38%

    Fair odds

    2.61

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

    02 · 3 legs

    Balanced

    • Monaco to win49%
    • Over 2.5 goals52%
    • Anssumane Fati Vieira to score21%

    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 score55%
    • Over 2.5 goals52%
    • Anssumane Fati Vieira to score21%
    • Nabil Bentaleb to be booked22%

    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+).

    • 1 · Monaco49% probability@2.15LeoVegasEV+5%reference odds
    • 1 · Monaco49% probability@2.12PinnacleEV+3%reference odds
    • Under 2.548% probability@2.16PinnacleEV+3%reference odds
    Bookmaker1 · MonacoX2 · Lille
    Betsafe
    EV+ 1%
    2.08
    3.353.55
    LeoVegas
    EV+ 5%
    2.15
    3.403.35
    Nordicbet
    EV+ 1%
    2.08
    3.353.55
    Pinnacle
    EV+ 3%
    2.12
    3.253.63

    Odds updated 22 Oct, 07:37

    Statistics

    Head-to-head

    4 matches
    Monaco 0Draw 1Lille 3
    Goals: 1–4 (⌀ 1,2)

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

    Key facts

    • Monaco win 65% of their home matches all-time (37 played).
    xG & xGA per match — 3-game rolling average

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

    Monaco
    Lille
    When goals are scored and conceded — 2026
    Monaco (10–6)
    Lille (10–5)
    Pass networks

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

    Monaco
    Sadibou Sané: 351 passningar, xT 0.59SanéEric Dier: 331 passningar, xT 0.23DierFlávio Basilua Jacinto Nazinho: 302 passningar, xT 0.35NazinhoLamine Camara: 301 passningar, xT 0.13CamaraVanderson de Oliveira Campos: 233 passningar, xT 0.85CamposDenis Zakaria: 203 passningar, xT -0.03ZakariaAleksandr Golovin: 138 passningar, xT 0.44GolovinLukas Hradecky: 122 passningar, xT 0.07HradeckyMohammed Salisu: 79 passningar, xT 0.12SalisuStanis Idumbo: 73 passningar, xT 0.09IdumboEdan Diop: 59 passningar, xT 0.13Diop
    Lille
    Nathan Ngoy: 312 passningar, xT 0.44NgoyAlexsandro Victor de Souza Ribeiro: 295 passningar, xT 0.06RibeiroRomain Perraud: 206 passningar, xT 0.23PerraudNabil Bentaleb: 205 passningar, xT 0.31BentalebBerke Özer: 130 passningar, xT 0.07ÖzerMaxima Adeagan Goffi: 127 passningar, xT 0.2GoffiDilane Bakwa: 127 passningar, xT 0.45BakwaTanguy-Austin Nianzou Kouassi: 121 passningar, xT 0.07KouassiBenjamin Michel Édouard André: 118 passningar, xT 0.07AndréTiago Carvalho Santos: 118 passningar, xT 0.64SantosHákon Arnar Haraldsson: 116 passningar, xT 0.14Haraldsson
    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.

    Monaco
    Sadibou Sané: 351 passningar, xT 0.59SanéEric Dier: 331 passningar, xT 0.23DierFlávio Basilua Jacinto Nazinho: 302 passningar, xT 0.35NazinhoLamine Camara: 301 passningar, xT 0.13CamaraVanderson de Oliveira Campos: 233 passningar, xT 0.85CamposDenis Zakaria: 203 passningar, xT -0.03ZakariaAleksandr Golovin: 138 passningar, xT 0.44GolovinLukas Hradecky: 122 passningar, xT 0.07HradeckyMohammed Salisu: 79 passningar, xT 0.12SalisuStanis Idumbo: 73 passningar, xT 0.09IdumboEdan Diop: 59 passningar, xT 0.13Diop
    Lille
    Nathan Ngoy: 312 passningar, xT 0.44NgoyAlexsandro Victor de Souza Ribeiro: 295 passningar, xT 0.06RibeiroRomain Perraud: 206 passningar, xT 0.23PerraudNabil Bentaleb: 205 passningar, xT 0.31BentalebBerke Özer: 130 passningar, xT 0.07ÖzerMaxima Adeagan Goffi: 127 passningar, xT 0.2GoffiDilane Bakwa: 127 passningar, xT 0.45BakwaTanguy-Austin Nianzou Kouassi: 121 passningar, xT 0.07KouassiBenjamin Michel Édouard André: 118 passningar, xT 0.07AndréTiago Carvalho Santos: 118 passningar, xT 0.64SantosHákon Arnar Haraldsson: 116 passningar, xT 0.14Haraldsson

    The teams in numbers

    PerformanceMonacoLille
    Points1414
    xPoints8.410.6
    xG per match1.11.4
    xGA per match1.41.4
    xG within 8s of winning the ball0.220.31
    xGA within 8s of losing the ball0.180.23
    Playing styleMonacoLille
    Build-up efficiency0.30.31
    Field tilt0.470.43
    xT per match0.860.97
    xTA per match0.831.1
    Won balls, offensive half3024
    Pressing intensity0.240.24
    Pressing efficiency0.260.24
    Pressing efficiency, offensive half0.220.19
    Entries into the box per match1116
    Entries into the box against1214
    Pass completion %0.820.81
    Pass completion % under pressure0.770.76
    Passes per match446421
    Passes against per match462414
    Switches of play per match26.223.8
    Long balls per match3227
    Set piecesMonacoLille
    xG from free kicks0.040.06
    Corners per match3.73.3
    Corners against per match5.34.9
    xG per corner0.020.03
    xGA per corner against0.020.04
    First touch, offensive corners %0.310.43
    First touch, defensive corners %0.760.56
    OtherMonacoLille
    Throw-in control0.750.61
    The goalkeepersLukas Hradecky (Monaco)Berke Özer (Lille)
    Saves2320
    Save %85%87%
    xG prevented48%91%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Monaco vs Lille according to our model?

    The model gives Monaco a 49% win probability. Full 1X2 picture: Monaco 49%, draw 26%, Lille 26%.

    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 55% according to the model.

    How many goals are expected in Monaco vs Lille?

    The model expects 1.63 goals (xG) for Monaco and 1.14 for Lille, 2.77 in total.

    What does the model say about double chance?

    Monaco or draw (1X) 74%, Lille or draw (X2) 51% and no draw (12) 74%.

    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.