Ligue 1Stade Raymond Kopa, Angers19°1,4 mm13 km/h

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    AngersAngersLow block & direct
    vs
    LilleLillePossession & high press
    The model's lean: 2 · Lille (58%)Best value by the model: Under 2,5 @ 1.83 (+3 %)

    AngersLille · Ligue 1

    1 · Angers 16%X 25%58% Lille · 2

    Analysis: AngersLille

    Erik Lindberg · · Written from the model's numbers · How the predictions work

    Fifty-eight percent — that's the model's probability of LOSC Lille claiming victory over Angers in their upcoming Ligue 1 clash. It's a figure that immediately sets the tone and highlights the chasm in quality between the two sides. LOSC Lille, with their possession-heavy style and high pressing game, are a daunting proposition for low-defence Angers, who have yet to crack the Lille code in four head-to-head encounters since 2022, all of which ended in defeat.

    Lille's tactical approach is reflected in the expected goals model, which sees them notching up 1.61 xG per match compared to Angers' rather meagre 0.81. This suggests that a 0-1 or even a 0-2 scoreline (14% and 11% probabilities, respectively) aren't just likely; they're the most probable outcomes. The expected goals against (xGA) further underscores Angers' defensive frailties, with 1.6 xGA per match contrasting sharply with Lille's more solid 1.0 xGA. Simply put, Angers’ vulnerability at the back could easily be exploited by Lille's relentless high press.

    Angers have managed to collect only 36 points to Lille's 61, a gap that aligns with performance metrics like expected points (xPoints), which also favour Lille. Yet, it's not just about points. It's about the narrative of the game, which leans heavily toward Lille's dominance. Under 2.5 goals is a smart play here, backed by a 5% edge in the model rating, offering value at odds of 1.86 with bookmakers like Betsafe, Betsson, and Nordicbet.

    With a 44% probability for over 2.5 goals and just 45% for both teams to score, the numbers whisper a tale of a controlled, perhaps even clinical performance from LOSC Lille. Angers' direct style may struggle to break down Lille’s composed and disciplined approach. For those seeking an angle on this clash, the model's edge on under 2.5 goals might be the sharpest bet on offer, offering a calculated value that aligns with the likely narrative of a Lille-dominated match.

    AngersAngers
    Form DLLDD
    League ranking xG #18xGA #15xT #15xP/match #16Points #13
    Key players
    • Prosper PeterFxG 0.35 · xT 0.01
    • Branco van den BoomenCAMxG 0.05 · xT 0.13
    • Carlens ArcusRBxG 0.02 · xT 0.15
    LilleLille
    Form DWDWL
    League ranking xG #5xGA #2xT #6xP/match #5Points #3
    Key players
    • Olivier GiroudFxG 0.50 · xT -0.03
    • Hákon Arnar HaraldssonCAMxG 0.14 · xT 0.08
    • Matias Fernandez-PardoLWxG 0.30 · xT 0.12

    Match prediction: AngersLille

    Predicted score matrix

    Lille
    Angers
    0
    1
    2
    3
    4+
    0
    0–09.2%
    0–113.9%
    0–211.5%
    0–36.2%
    0–4+3.6%
    1
    1–06.9%
    1–111.9%
    1–29.3%
    1–35.0%
    1–4+2.9%
    2
    2–02.9%
    2–14.7%
    2–23.8%
    2–32.0%
    2–4+1.2%
    3
    3–00.8%
    3–11.3%
    3–21.0%
    3–30.6%
    3–4+0.3%
    4+
    4+–00.2%
    4+–10.3%
    4+–20.2%
    4+–30.1%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.0-114%
    2. 2.1-112%
    3. 3.0-211%
    4. 4.1-29%
    5. 5.0-09%
    Expected goals
    0,811,61
    Both teams to score
    45%

    Over/under goals

    Expected goals: 2,4
    Under 2,556%
    @1.83EV+3%
    Over 2,544%
    @2.00

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Lille to win58%
    • Under 3.5 goals77%

    Combined probability

    41%

    Fair odds

    2.44

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

    02 · 3 legs

    Balanced

    • Lille to win58%
    • Under 2.5 goals56%
    • Hákon Arnar Haraldsson 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 score45%
    • Over 2.5 goals44%
    • Hákon Arnar Haraldsson to score25%
    • Abdoulaye Bamba to be booked21%

    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 2.556% probability@1.83BetsafeEV+3%reference odds
    • Under 2.556% probability@1.83BetssonEV+3%reference odds
    • Under 2.556% probability@1.83NordicbetEV+3%reference odds
    Bookmaker1 · AngersX2 · Lille
    Betsafe4.853.60
    EV+ 0%
    1.72
    Betsson4.853.60
    EV+ 0%
    1.72
    Nordicbet4.853.60
    EV+ 0%
    1.72

    Odds updated 18 Aug, 16:36

    Odds movement

    1-2 %
    22 %17 %

    4.954.85

    X-1 %
    28 %23 %

    3.653.60

    2+1 %
    57 %52 %

    1.701.72

    Over 2,5+2 %
    51 %46 %

    1.972.00

    Betsson · 6 recorded price levels · 18/08/2026 → 18/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Angers 0Draw 0Lille 4
    Goals: 06 (⌀ 1,5)

    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).

    Angers
    Lille
    When goals are scored and conceded 2025
    Angers (2948)
    Lille (5237)
    Pass networks

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

    Angers
    Branco van den Boomen: 238 passningar, xT 0.59BoomenJordan Lefort: 217 passningar, xT 0.61LefortHaris Belkebla: 144 passningar, xT 0.18BelkeblaPierrick Capelle: 106 passningar, xT 0.26CapelleLillian Raolisoa: 98 passningar, xT 0.55RaolisoaOusmane Camara: 94 passningar, xT 0.07CamaraHervé Koffi: 92 passningar, xT 0.07KoffiMarius Louãr: 74 passningar, xT 0.14LouãrJacques Emmanuel Paul Ekomié: 73 passningar, xT 0.02EkomiéMohamed Amine Sbaï: 64 passningar, xT 0.55SbaïLouis Mouton: 52 passningar, xT 0.19Mouton
    Lille
    Aïssa Mandi: 339 passningar, xT 0.72MandiBenjamin Michel Édouard André: 224 passningar, xT 0.21AndréThomas André A. Meunier: 221 passningar, xT 0.61MeunierAyyoub Bouaddi: 207 passningar, xT 0.47BouaddiNathan Ngoy: 198 passningar, xT 0.12NgoyHákon Arnar Haraldsson: 198 passningar, xT 0.04HaraldssonRomain Perraud: 186 passningar, xT 0.53PerraudNgal'ayel Mukau: 140 passningar, xT 0.26MukauBerke Özer: 131 passningar, xT 0.1ÖzerFelix Correia: 103 passningar, xT 0.4CorreiaMatias Fernandez-Pardo: 63 passningar, xT 0.22Fernandez-Pardo
    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.

    Angers
    Branco van den Boomen: 238 passningar, xT 0.59BoomenJordan Lefort: 217 passningar, xT 0.61LefortHaris Belkebla: 144 passningar, xT 0.18BelkeblaPierrick Capelle: 106 passningar, xT 0.26CapelleLillian Raolisoa: 98 passningar, xT 0.55RaolisoaOusmane Camara: 94 passningar, xT 0.07CamaraHervé Koffi: 92 passningar, xT 0.07KoffiMarius Louãr: 74 passningar, xT 0.14LouãrJacques Emmanuel Paul Ekomié: 73 passningar, xT 0.02EkomiéMohamed Amine Sbaï: 64 passningar, xT 0.55SbaïLouis Mouton: 52 passningar, xT 0.19Mouton
    Lille
    Aïssa Mandi: 339 passningar, xT 0.72MandiBenjamin Michel Édouard André: 224 passningar, xT 0.21AndréThomas André A. Meunier: 221 passningar, xT 0.61MeunierAyyoub Bouaddi: 207 passningar, xT 0.47BouaddiNathan Ngoy: 198 passningar, xT 0.12NgoyHákon Arnar Haraldsson: 198 passningar, xT 0.04HaraldssonRomain Perraud: 186 passningar, xT 0.53PerraudNgal'ayel Mukau: 140 passningar, xT 0.26MukauBerke Özer: 131 passningar, xT 0.1ÖzerFelix Correia: 103 passningar, xT 0.4CorreiaMatias Fernandez-Pardo: 63 passningar, xT 0.22Fernandez-Pardo

    The teams in numbers

    PerformanceAngersLille
    Points3661
    xPoints42.350.8
    xG per match11.5
    xGA per match1.61
    xG within 8s of winning the ball0.140.15
    xGA within 8s of losing the ball0.230.27
    Playing styleAngersLille
    Build-up efficiency0.30.32
    Field tilt0.350.64
    xT per match0.721.1
    xTA per match1.10.66
    Won balls, offensive half1929
    Pressing intensity0.230.23
    Pressing efficiency0.210.27
    Pressing efficiency, offensive half0.260.31
    Entries into the box per match916
    Entries into the box against158
    Pass completion %0.790.81
    Pass completion % under pressure0.740.75
    Passes per match347434
    Passes against per match513341
    Switches of play per match22.830.9
    Long balls per match2534
    Set piecesAngersLille
    xG from free kicks0.030.04
    Corners per match3.65.7
    Corners against per match5.33.8
    xG per corner0.050.05
    xGA per corner against0.070.04
    First touch, offensive corners %0.330.49
    First touch, defensive corners %0.580.64
    OtherAngersLille
    Throw-in control0.660.7
    The goalkeepersHervé Koffi (Angers)Berke Özer (Lille)
    Saves12674
    Save %78%69%
    xG prevented56%56%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Angers vs Lille according to our model?

    The model gives Lille a 58% win probability. Full 1X2 picture: Angers 16%, draw 25%, Lille 58%.

    What is the most likely scoreline?

    The model's most likely final score is 0-1 at 14% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 44% and under at 56%.

    Will both teams score?

    The probability of both teams scoring is 45% 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.