Ligue 1Stade Louis II, Monaco23°17 km/h

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    MonacoMonacoLow block & direct
    vs
    LensLensBalanced & physical
    The model's lean: 1 · Monaco (46%)Best value by the model: Under 2,5 @ 2.41 (+10 %)

    Monaco vs Lens · Ligue 1

    1 · Monaco 46%X 25%29% Lens · 2

    Analysis: MonacoLens

    Anna Karlsson · · A data-driven preview · How the predictions work

    Monaco's 66% win rate at home is an imposing statistic, reflecting their strength at the Stade Louis II. However, Lens comes into this fixture with a distinct advantage in recent head-to-head meetings, having won two out of the last four encounters since 2022. While this sample is relatively small, it suggests that Lens can be competitive despite their current position in the league standings.

    Monaco's direct playing style contrasts with the balanced and physical approach from Lens. This dichotomy sets the stage for a clash where Monaco's scoring prowess could be offset by Lens's ability to absorb pressure and strike efficiently. The expected goals are close, with Monaco slightly ahead at 1.54 compared to Lens's 1.32. This tight margin and the model's probabilities suggest a narrow victory for the hosts, with a 2-1 scoreline appearing plausible.

    Yet, the sharper angle lies in the betting market. Despite a 55% likelihood for over 2.5 goals, the model finds value in the under 2.5 market. Betsafe, Betsson, and Nordicbet offer odds of 2.49, providing a significant 13% edge according to the model's 45% probability. For those seeking a calculated risk, this under offers a compelling opportunity.

    MonacoMonaco
    Form LWWWD
    League ranking xG #17xGA #7xT #15xP/match #10Points #3
    Key players
    • Matthis AblineFxG 0.00 · xT 0.19
    • Paris BrunnerFxG 0.59 · xT 0.01
    • Lamine CamaraCDMxG 0.04 · xT 0.02
    LensLens
    Form WWLLD
    League ranking xG #2xGA #9xT #2xP/match #6Points #11
    Key players
    • Florian Tristán Mariano ThauvinRWxG 0.73 · xT 0.36
    • Ruben AguilarRWxG 0.06 · xT 0.32
    • Abdallah SimaFxG 0.19 · xT 0.03

    Match prediction: MonacoLens

    Predicted score matrix

    Lens
    Monaco
    0
    1
    2
    3
    4+
    0
    0–06.0%
    0–17.2%
    0–25.0%
    0–32.2%
    0–4+1.0%
    1
    1–08.5%
    1–112.0%
    1–27.7%
    1–33.4%
    1–4+1.5%
    2
    2–06.8%
    2–19.0%
    2–25.9%
    2–32.6%
    2–4+1.1%
    3
    3–03.5%
    3–14.6%
    3–23.0%
    3–31.3%
    3–4+0.6%
    4+
    4+–01.9%
    4+–12.5%
    4+–21.7%
    4+–30.7%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.2-19%
    3. 3.1-08%
    4. 4.1-28%
    5. 5.0-17%
    Expected goals
    1,541,32
    Both teams to score
    58%

    Over/under goals

    Expected goals: 2,9
    Under 2,545%
    @2.41EV+10%
    Over 2,555%
    @1.58

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Monaco to win46%
    • Over 1.5 goals78%

    Combined probability

    34%

    Fair odds

    2.96

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

    02 · 3 legs

    Balanced

    • Monaco to win46%
    • Over 2.5 goals55%
    • Maghnes Akliouche to score25%

    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 score58%
    • Over 2.5 goals55%
    • Maghnes Akliouche to score25%
    • Pierre-Ismaëlo Ganiou 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+).

    • Under 2.545% probability@2.41BetsafeEV+10%reference odds
    • Under 2.545% probability@2.41BetssonEV+10%reference odds
    • Under 2.545% probability@2.41NordicbetEV+10%reference odds
    Bookmaker1 · MonacoX2 · Lens
    Betsafe1.983.65
    EV+ 3%
    3.55
    Betsson1.983.65
    EV+ 3%
    3.55
    Nordicbet1.983.65
    EV+ 3%
    3.55
    Pinnacle2.033.80
    EV+ 4%
    3.60

    Odds updated 18 Sept, 10:36

    Odds movement

    Market signal

    The market has moved clearly towards a Monaco win since 12 September — the odds have shortened from 2.29 to 2.03 (−11%).

    1-11 %
    50 %40 %

    2.292.03

    X+4 %
    31 %21 %

    3.653.80

    2+23 %
    35 %25 %

    2.923.60

    Pinnacle · 18 recorded price levels · 12/09/2026 → 18/09/2026 · fixed scale 10 percentage points

    Statistics

    Head-to-head

    4 matches
    Monaco 1Draw 1Lens 2
    Goals: 511 (⌀ 4)

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

    Key facts

    • Monaco win 66% of their home matches all-time (35 played).
    xG & xGA per match — 3-game rolling average

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

    Monaco
    Lens
    When goals are scored and conceded 2026
    Monaco (62)
    Lens (87)
    Pass networks

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

    Monaco
    Lamine Camara: 206 passningar, xT 0.02CamaraEric Dier: 198 passningar, xT 0.18DierSadibou Sané: 183 passningar, xT 0.23SanéFlávio Basilua Jacinto Nazinho: 173 passningar, xT 0.27NazinhoVanderson de Oliveira Campos: 151 passningar, xT 0.64CamposDenis Zakaria: 135 passningar, xT 0.01ZakariaLukas Hradecky: 87 passningar, xT 0.1HradeckyStanis Idumbo: 85 passningar, xT 0.19IdumboAleksandr Golovin: 80 passningar, xT 0.49GolovinMamadou Coulibaly: 71 passningar, xT 0.13CoulibalyParis Brunner: 36 passningar, xT 0.08Brunner
    Lens
    Ismaelo Ganiou: 160 passningar, xT 0.52GaniouYassine Mohammed Titraoui: 147 passningar, xT 0.11TitraouiFlorian Tristán Mariano Thauvin: 140 passningar, xT 1.39ThauvinSouleymane Sagnan: 140 passningar, xT 0.24SagnanRobin Risser: 127 passningar, xT 0.08RisserMichał Krzysztof Skóraś: 115 passningar, xT 0.94SkóraśRuben Aguilar: 111 passningar, xT 0.6AguilarMatthieu Udol: 103 passningar, xT 0.31UdolKyllian Anderson Antonio: 98 passningar, xT 0.14AntonioAndrija Bulatovic: 91 passningar, xT 0.07BulatovicMichaël Bruno Dominique Cuisance: 80 passningar, xT 0Cuisance
    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
    Lamine Camara: 206 passningar, xT 0.02CamaraEric Dier: 198 passningar, xT 0.18DierSadibou Sané: 183 passningar, xT 0.23SanéFlávio Basilua Jacinto Nazinho: 173 passningar, xT 0.27NazinhoVanderson de Oliveira Campos: 151 passningar, xT 0.64CamposDenis Zakaria: 135 passningar, xT 0.01ZakariaLukas Hradecky: 87 passningar, xT 0.1HradeckyStanis Idumbo: 85 passningar, xT 0.19IdumboAleksandr Golovin: 80 passningar, xT 0.49GolovinMamadou Coulibaly: 71 passningar, xT 0.13CoulibalyParis Brunner: 36 passningar, xT 0.08Brunner
    Lens
    Ismaelo Ganiou: 160 passningar, xT 0.52GaniouYassine Mohammed Titraoui: 147 passningar, xT 0.11TitraouiFlorian Tristán Mariano Thauvin: 140 passningar, xT 1.39ThauvinSouleymane Sagnan: 140 passningar, xT 0.24SagnanRobin Risser: 127 passningar, xT 0.08RisserMichał Krzysztof Skóraś: 115 passningar, xT 0.94SkóraśRuben Aguilar: 111 passningar, xT 0.6AguilarMatthieu Udol: 103 passningar, xT 0.31UdolKyllian Anderson Antonio: 98 passningar, xT 0.14AntonioAndrija Bulatovic: 91 passningar, xT 0.07BulatovicMichaël Bruno Dominique Cuisance: 80 passningar, xT 0Cuisance

    The teams in numbers

    PerformanceMonacoLens
    Points104
    xPoints5.16.1
    xG per match1.12.1
    xGA per match1.41.5
    xG within 8s of winning the ball0.190.39
    xGA within 8s of losing the ball0.150.25
    Playing styleMonacoLens
    Build-up efficiency0.30.29
    Field tilt0.360.56
    xT per match0.841.4
    xTA per match1.11
    Won balls, offensive half2624
    Pressing intensity0.240.23
    Pressing efficiency0.230.27
    Pressing efficiency, offensive half0.20.23
    Entries into the box per match1116
    Entries into the box against1514
    Pass completion %0.80.81
    Pass completion % under pressure0.740.75
    Passes per match366415
    Passes against per match492385
    Switches of play per match24.734.1
    Long balls per match3233
    Set piecesMonacoLens
    xG from free kicks0.080
    Corners per match46.7
    Corners against per match5.53.2
    xG per corner0.030.02
    xGA per corner against0.030.01
    First touch, offensive corners %0.380.48
    First touch, defensive corners %0.770.54
    OtherMonacoLens
    Throw-in control0.690.7
    The goalkeepersLukas Hradecky (Monaco)Robin Risser (Lens)
    Saves1612
    Save %94%63%
    xG prevented78%23%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Monaco vs Lens according to our model?

    The model gives Monaco a 46% win probability. Full 1X2 picture: Monaco 46%, draw 25%, Lens 29%.

    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 55% and under at 45%.

    Will both teams score?

    The probability of both teams scoring is 58% 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.