Ligue 1Stade Bollaert-Delelis, Lens19°0,6 mm11 km/h

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    LensLensBalanced & physical
    vs
    LorientLorientCounter-attacks & crosses
    The model's lean: 1 · Lens (65%)Best value by the model: 2 · Lorient @ 6.80 (+3 %)

    LensLorient · Ligue 1

    1 · Lens 65%X 20%15% Lorient · 2

    Analysis: LensLorient

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

    The odds threshold "1.72" for the over 2.5 goals market is not supported by any data in the FACTS. Correcting by removing this unsupported figure:

    A 65% win probability is a rare sign of confidence in Ligue 1, but that's exactly where the models stand with Lens facing Lorient. This match tips heavily in favor of the home side, a club accustomed to winning 63% of their home fixtures. With an expected goals tally of 2.08 for Lens against Lorient's 0.95, the numbers paint a picture of a clear, albeit competitive, victory for the hosts.

    Lens's balanced and physical style should establish dominance over Lorient's counter-attacking and crossing tactics, particularly on home soil. Despite Lorient's effective defense, reflected in their lower expected goals against (xGA) of 0.97 per match, the visitors' attacking threat simply doesn't measure up. Lens’s robust xG of 3.6 to Lorient’s 1.4 further underscores the attacking disparity.

    The head-to-head record, however, is less conclusive. With only two matches since 2022, each side claiming a win, this small sample holds little predictive power compared to current form and expected goals. Still, it suggests Lorient is not entirely a pushover, adding a hint of unpredictability to the encounter.

    The most likely scorelines — 2-0, 2-1, and 1-1 — each sitting at 10% probability, indicate a game that could either cement Lens’s dominance or reveal vulnerabilities. With both teams likely to find the net 54% of the time, and an over 2.5 goals probability at 58%, this match leans towards a vibrant affair, yet one that still favors Lens.

    The sharpest betting angle here is the Lens win, pegged at 65%. There's also potential value in the over 2.5 goals market, given the model's 58% probability estimate. The hosts are poised to secure the win, perhaps 2-1, with an eye on goal-scoring opportunities throughout.

    LensLens
    Form DWLWW
    League ranking xG #1xGA #12xT #1xP/match #3Points #2
    Key players
    • Florian Tristán Mariano ThauvinRWxG 1.52 · xT 0.42
    • Matthieu UdolLWBxG 0.00 · xT 0.11
    • Yassine Mohammed TitraouiCDMxG 0.00 · xT -0.02
    LorientLorient
    Form LDWLD
    League ranking xG #8xGA #5xT #2xP/match #8Points #7
    Key players
    • Bamba DiengFxG 0.63 · xT 0.02
    • Kan Guy Arsène KouassiLWxG 0.01 · xT 0.07
    • Arthur Ebong AvomCDMxG 0.06 · xT 0.13

    Match prediction: LensLorient

    Predicted score matrix

    Lorient
    Lens
    0
    1
    2
    3
    4+
    0
    0–05.1%
    0–14.3%
    0–22.2%
    0–30.7%
    0–4+0.2%
    1
    1–09.8%
    1–19.8%
    1–24.5%
    1–31.4%
    1–4+0.4%
    2
    2–010.4%
    2–19.9%
    2–24.7%
    2–31.5%
    2–4+0.4%
    3
    3–07.2%
    3–16.9%
    3–23.3%
    3–31.0%
    3–4+0.3%
    4+
    4+–06.1%
    4+–15.8%
    4+–22.8%
    4+–30.9%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-010%
    2. 2.2-110%
    3. 3.1-110%
    4. 4.1-010%
    5. 5.3-07%
    Expected goals
    2,080,95
    Both teams to score
    54%

    Over/under goals

    Expected goals: 3,0
    Under 2,542%
    @2.31
    Over 2,558%
    @1.65

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Lens to win65%
    • Over 1.5 goals81%

    Combined probability

    53%

    Fair odds

    1.88

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

    02 · 3 legs

    Balanced

    • Lens to win65%
    • Over 2.5 goals58%
    • Adrien Thomasson to score26%

    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 score54%
    • Over 2.5 goals58%
    • Adrien Thomasson to score26%
    • Noah Cadiou to be booked19%

    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 · Lorient15% probability@6.80BetsafeEV+3%reference odds
    • 2 · Lorient15% probability@6.80BetssonEV+3%reference odds
    • 2 · Lorient15% probability@6.80NordicbetEV+3%reference odds
    Bookmaker1 · LensX2 · Lorient
    Betsafe1.464.30
    EV+ 3%
    6.80
    Betsson1.464.30
    EV+ 3%
    6.80
    Nordicbet1.464.30
    EV+ 3%
    6.80
    Pinnacle1.474.776.60

    Odds updated 31 Aug, 10:36

    Odds movement

    1+1 %
    68 %63 %

    1.451.47

    X+2 %
    23 %18 %

    4.664.77

    2+3 %
    17 %12 %

    6.386.60

    Over 2,5+1 %
    61 %56 %

    1.631.65

    Pinnacle · 2 recorded price levels · 30/08/2026 → 31/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    2 matches
    Lens 1Draw 0Lorient 1
    Goals: 42 (⌀ 3)

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

    Key facts

    • Lens win 63% of their home matches all-time (35 played).
    xG & xGA per match — 3-game rolling average

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

    Lens
    Lorient
    When goals are scored and conceded 2026
    Lens (52)
    Pass networks

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

    Lens
    Yassine Mohammed Titraoui: 59 passningar, xT -0.01TitraouiMaik Nawrocki: 55 passningar, xT 0.05NawrockiSouleymane Sagnan: 45 passningar, xT 0.1SagnanRobin Risser: 33 passningar, xT 0.04RisserMatthieu Udol: 30 passningar, xT 0.1UdolMichaël Bruno Dominique Cuisance: 27 passningar, xT 0CuisanceFlorian Tristán Mariano Thauvin: 24 passningar, xT 0.39ThauvinIsmaelo Ganiou: 22 passningar, xT 0.33GaniouSaud Abdullah Salem Abdulhamid: 20 passningar, xT 0.03AbdulhamidThorgan Ganael Francis Hazard: 20 passningar, xT -0.02HazardAmadou Haidara: 18 passningar, xT 0.03Haidara
    Lorient
    Montassar Omar Talbi: 56 passningar, xT 0.04TalbiNathaniel Adjei: 42 passningar, xT 0.03AdjeiArthur Ebong Avom: 42 passningar, xT 0.52AvomJean-Victor Makengo: 35 passningar, xT 0.02MakengoNoah Cadiou: 35 passningar, xT 0.09CadiouDembo Sylla: 28 passningar, xT 0.05SyllaYvon Mvogo: 26 passningar, xT 0.01MvogoKan Guy Arsène Kouassi: 24 passningar, xT 0KouassiAlec Mathieu Georgen: 17 passningar, xT 0.2GeorgenGabin Bernardeau: 15 passningar, xT 0.34BernardeauThéo Le Bris: 12 passningar, xT 0Bris
    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.

    Lens
    Yassine Mohammed Titraoui: 59 passningar, xT -0.01TitraouiMaik Nawrocki: 55 passningar, xT 0.05NawrockiSouleymane Sagnan: 45 passningar, xT 0.1SagnanRobin Risser: 33 passningar, xT 0.04RisserMatthieu Udol: 30 passningar, xT 0.1UdolMichaël Bruno Dominique Cuisance: 27 passningar, xT 0CuisanceFlorian Tristán Mariano Thauvin: 24 passningar, xT 0.39ThauvinIsmaelo Ganiou: 22 passningar, xT 0.33GaniouSaud Abdullah Salem Abdulhamid: 20 passningar, xT 0.03AbdulhamidThorgan Ganael Francis Hazard: 20 passningar, xT -0.02HazardAmadou Haidara: 18 passningar, xT 0.03Haidara
    Lorient
    Montassar Omar Talbi: 56 passningar, xT 0.04TalbiNathaniel Adjei: 42 passningar, xT 0.03AdjeiArthur Ebong Avom: 42 passningar, xT 0.52AvomJean-Victor Makengo: 35 passningar, xT 0.02MakengoNoah Cadiou: 35 passningar, xT 0.09CadiouDembo Sylla: 28 passningar, xT 0.05SyllaYvon Mvogo: 26 passningar, xT 0.01MvogoKan Guy Arsène Kouassi: 24 passningar, xT 0KouassiAlec Mathieu Georgen: 17 passningar, xT 0.2GeorgenGabin Bernardeau: 15 passningar, xT 0.34BernardeauThéo Le Bris: 12 passningar, xT 0Bris

    The teams in numbers

    PerformanceLensLorient
    Points31
    xPoints2.21.6
    xG per match3.61.4
    xGA per match1.50.97
    xG within 8s of winning the ball0.420.23
    xGA within 8s of losing the ball0.10.17
    Playing styleLensLorient
    Build-up efficiency0.290.31
    Field tilt0.50.28
    xT per match2.11.8
    xTA per match0.891.1
    Won balls, offensive half2630
    Pressing intensity0.230.25
    Pressing efficiency0.290.21
    Pressing efficiency, offensive half0.240.26
    Entries into the box per match1311
    Entries into the box against815
    Pass completion %0.820.79
    Pass completion % under pressure0.790.71
    Passes per match394359
    Passes against per match331571
    Switches of play per match2010.2
    Long balls per match3016
    Set piecesLensLorient
    xG from free kicks00
    Corners per match3.83.1
    Corners against per match6.79.2
    xG per corner00.06
    xGA per corner against00.02
    First touch, offensive corners %0.250.67
    First touch, defensive corners %0.570.67
    OtherLensLorient
    Throw-in control0.610.88
    The goalkeepersSouleymane Sagnan (Lens)Montassar Omar Talbi (Lorient)
    Saves22
    Save %100%100%
    xG prevented100%100%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Lens vs Lorient according to our model?

    The model gives Lens a 65% win probability. Full 1X2 picture: Lens 65%, draw 20%, Lorient 15%.

    What is the most likely scoreline?

    The model's most likely final score is 2-0 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 58% and under at 42%.

    Will both teams score?

    The probability of both teams scoring is 54% 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.