Ligue 2Stade de la Libération, Boulogne-sur-Mer22°17 km/hUpdated

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    BoulogneBoulognePossession control
    vs
    The model's lean: 2 · Nancy (38%)
    NancyNancyLow block & direct

    BoulogneNancy · Ligue 2

    1 · Boulogne 32%X 29%38% Nancy · 2
    BoulogneBoulogne
    Form DLLLL
    League ranking xG #17xGA #13xT #15xP/match #14Points #17
    Key players
    • Corentin FatouFxG 0.3 · xT 0.05
    • Aurélien PlatretRWxG 0.08 · xT 0.09
    • Julien BoyerLWBxG 0.05 · xT 0.13
    NancyNancy
    Form DLDWW
    League ranking xG #13xGA #14xT #14xP/match #10Points #14
    Key players
    • Patrick OuotroFxG 0.14 · xT 0.03
    • Zakaria FdaouchLWxG 0.14 · xT 0.14
    • Jérémy Pierre Sincère GélinCMxG 0.07 · xT 0.11

    Match prediction: BoulogneNancy

    Predicted score matrix

    Nancy
    Boulogne
    0
    1
    2
    3
    4+
    0
    0–011.9%
    0–111.4%
    0–26.1%
    0–32.1%
    0–4+0.7%
    1
    1–012.7%
    1–113.8%
    1–26.9%
    1–32.4%
    1–4+0.8%
    2
    2–07.4%
    2–17.6%
    2–23.9%
    2–31.3%
    2–4+0.4%
    3
    3–02.8%
    3–12.9%
    3–21.5%
    3–30.5%
    3–4+0.2%
    4+
    4+–01.0%
    4+–11.0%
    4+–20.5%
    4+–30.2%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-114%
    2. 2.1-013%
    3. 3.0-012%
    4. 4.0-111%
    5. 5.2-18%
    Expected goals
    1,141,03
    Both teams to score
    44%

    Over/under goals

    Expected goals: 2,2
    Under 2,563%
    @1.70EV+8%
    Over 2,537%
    @2.10

    Odds & value

    The model's value spots

    Bets where the model's probability beats what the odds imply (EV+).

    • Under 1.536% probability@3.00Bet365EV+8%
    • Under 2.563% probability@1.70Bet365EV+8%
    • 2 · Nancy38% probability@2.75Bet365EV+6%
    Bookmaker1 · BoulogneX2 · Nancy
    Bet3652.403.20
    EV+ 6%
    2.75

    Odds updated 4 Aug, 09:04

    Analysis: BoulogneNancy

    Oscar Nilsson · · How the predictions work

    Four consecutive losses cast a long shadow over Boulogne’s prospects as they brace for a clash against Nancy, a side edging them in nearly every metric. Boulogne have been in freefall, their recent form painting an ominous picture against Nancy's more composed, if not spectacular, campaign. Both teams have been rather modest in front of goal, with Boulogne averaging 0.92 xG per match compared to Nancy’s slightly better 1.1. Given the expected goals tally of 1.14 for Boulogne and 1.03 for Nancy, a low-scoring affair seems to be on the cards.

    Nancy's playing style, defined by low defence and direct play, contrasts sharply with Boulogne’s possession-oriented approach. While this stylistic clash might make for an intriguing tactical battle, it doesn't promise a flurry of goals. The probabilities back this up, with a mere 37% chance of the match producing more than 2.5 goals. The most likely scorelines—1-1, 1-0, and 0-0—are further testament to the anticipated scarcity of goals.

    Boulogne's head-to-head record against Nancy offers little solace, failing to secure a win in their last two encounters, drawing once and losing the other. This history, combined with their current form, leans the scales towards Nancy despite Boulogne's home advantage. With Nancy’s 38% likelihood of taking the win and an attractive odds of 2.75 on offer from Bet365, this represents a plausible punt for the value-seeking bettor.

    But the sharpest angle lies in the under 2.5 goals market. Bet365’s odds of 1.7 provide an 8% edge according to model predictions—an enticing prospect given the match’s defensive predispositions and pedestrian goal-scoring form. As Boulogne and Nancy prepare to lock horns, the numbers hint at a tight contest unlikely to breach the goal line too often.

    Statistics

    Head-to-head

    2 matches
    Boulogne 0Draw 1Nancy 1
    Goals: 01 (⌀ 0,5)

    Head-to-head based on Ligue 2 data since 2023.

    Key facts

    • Boulogne have lost 4 in a row.
    xG & xGA per match — 3-game rolling average

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

    Boulogne
    Nancy
    When goals are scored and conceded 2025
    Boulogne (3148)
    Nancy (3450)
    Pass networks

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

    Boulogne
    Siad Gourville: 194 passningar, xT 0.19GourvilleJonas Serge Martin: 189 passningar, xT 0.01MartinGuede Nathan Zohore: 178 passningar, xT 0.33ZohoreJulien Boyer: 155 passningar, xT 0.11BoyerBlondy Rudolph Nna Noukeu: 122 passningar, xT 0.25NoukeuAdrien Pinot: 110 passningar, xT 0.1PinotSonny Duflos: 88 passningar, xT 0.18DuflosDemba Thiam: 81 passningar, xT 0.14ThiamJoffrey Bultel: 75 passningar, xT 0.11BultelNolan Binet: 75 passningar, xT 0.04BinetNoah Fatar: 71 passningar, xT 0.48Fatar
    Nancy
    Walid Bouabdelli: 109 passningar, xT 0.11BouabdelliNehemiah Fernandez-Veliz: 108 passningar, xT 0.12Fernandez-VelizZakaria Fdaouch: 88 passningar, xT 0.15FdaouchTeddy Bouriaud: 81 passningar, xT 0.06BouriaudElydjah Mendy: 80 passningar, xT 0.17MendyEnzo Tacafred: 74 passningar, xT 0.14TacafredEnzo Basilio: 72 passningar, xT 0.42BasilioFaitout Maouassa: 70 passningar, xT 0.24MaouassaBrandon Bokangou: 65 passningar, xT 0.03BokangouCazim Suljic: 56 passningar, xT -0.01SuljicNicolas Saint-Ruf: 55 passningar, xT 0.1Saint-Ruf
    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.

    Boulogne
    Siad Gourville: 194 passningar, xT 0.19GourvilleJonas Serge Martin: 189 passningar, xT 0.01MartinGuede Nathan Zohore: 178 passningar, xT 0.33ZohoreJulien Boyer: 155 passningar, xT 0.11BoyerBlondy Rudolph Nna Noukeu: 122 passningar, xT 0.25NoukeuAdrien Pinot: 110 passningar, xT 0.1PinotSonny Duflos: 88 passningar, xT 0.18DuflosDemba Thiam: 81 passningar, xT 0.14ThiamJoffrey Bultel: 75 passningar, xT 0.11BultelNolan Binet: 75 passningar, xT 0.04BinetNoah Fatar: 71 passningar, xT 0.48Fatar
    Nancy
    Walid Bouabdelli: 109 passningar, xT 0.11BouabdelliNehemiah Fernandez-Veliz: 108 passningar, xT 0.12Fernandez-VelizZakaria Fdaouch: 88 passningar, xT 0.15FdaouchTeddy Bouriaud: 81 passningar, xT 0.06BouriaudElydjah Mendy: 80 passningar, xT 0.17MendyEnzo Tacafred: 74 passningar, xT 0.14TacafredEnzo Basilio: 72 passningar, xT 0.42BasilioFaitout Maouassa: 70 passningar, xT 0.24MaouassaBrandon Bokangou: 65 passningar, xT 0.03BokangouCazim Suljic: 56 passningar, xT -0.01SuljicNicolas Saint-Ruf: 55 passningar, xT 0.1Saint-Ruf

    The teams in numbers

    PerformanceBoulogneNancy
    Points3037
    xPoints39.345.4
    xG per match0.921.1
    xGA per match1.21.2
    xG within 8s of winning the ball0.130.22
    xGA within 8s of losing the ball0.160.15
    Playing styleBoulogneNancy
    Build-up efficiency0.330.35
    Field tilt0.470.43
    xT per match0.790.79
    xTA per match0.821
    Won balls, offensive half2726
    Pressing intensity0.210.21
    Pressing efficiency0.280.25
    Pressing efficiency, offensive half0.350.31
    Entries into the box per match810
    Entries into the box against1011
    Pass completion %0.720.71
    Pass completion % under pressure0.670.67
    Passes per match301271
    Passes against per match369417
    Switches of play per match1716.3
    Long balls per match2530
    Set piecesBoulogneNancy
    xG from free kicks0.060.14
    Corners per match44.5
    Corners against per match4.94.6
    xG per corner0.020.05
    xGA per corner against0.060.05
    First touch, offensive corners %0.420.41
    First touch, defensive corners %0.630.57
    OtherBoulogneNancy
    Throw-in control0.70.65
    The goalkeepersBlondy Rudolph Nna Noukeu (Boulogne)Enzo Basilio (Nancy)
    Saves3086
    Save %64%66%
    xG prevented33%40%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Boulogne vs Nancy according to our model?

    The model gives Nancy a 38% win probability. Full 1X2 picture: Boulogne 32%, draw 29%, Nancy 38%.

    What is the most likely scoreline?

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

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 37% and under at 63%.

    Will both teams score?

    The probability of both teams scoring is 44% 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.