Ligue 2Stade Marcel-Tribut, Dunkerque17°6,0 mm17 km/h

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    DunkerqueDunkerque
    vs
    MontpellierMontpellier
    The model's lean: 1 · Dunkerque (42%)

    DunkerqueMontpellier · Ligue 2

    1 · Dunkerque 42%X 27%31% Montpellier · 2

    Analysis: DunkerqueMontpellier

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

    Dunkerque’s 42% chance of winning against Montpellier suggests a tight contest on paper, with the hosts slightly favored by the model. Their expected goals tally of 1.41 versus Montpellier's 1.19 points to a narrow margin, but in a league as unpredictable as Ligue 2, those decimal differences often make all the difference. Dunkerque's razor-thin victory in their last two head-to-head clashes doesn't offer a conclusive advantage, but it hints at a team capable of clinching tight games.

    Montpellier, with their 31% chance of victory, come into this match as the underdogs. While their recent form has been inconsistent, the potential for both teams to score sits at 53%, indicating that the visitors might not be entirely out of the picture. However, the soggy weather conditions—16.7°C and 2.4 mm of rain—could stifle any attacking verve, especially affecting a Montpellier side that might struggle to break down a resolute Dunkerque defense.

    Dunkerque, with a modest 1-1 and 1-0 as the most likely scorelines, appears to have the upper hand. The chance of a low-scoring affair is there, but the model’s inclination towards a Dunkerque win suggests that a 1-0 or 2-1 result could very well be on the cards. With over 2.5 goals happening just 48% of the time, and both teams to score slightly favored, it's a game where tactical discipline might trump adventurous play.

    For those eyeing a shrewd punt, the value lies with Dunkerque at 2.55 with Pinnacle, given their assessed 42% chance of victory. A 7% edge, according to the model, is not to be sneezed at in a market where the margins are slim. If you’re looking for a weekend flutter, backing the home side might just tick all the right boxes.

    DunkerqueDunkerque
    Form WLLWD
    Key players
    • Thomas RobinetFxG 0.63 · xT 0.26
    • Egor PrutsevLWxG 0.85 · xT 0.26
    • Jordan MorelCMxG 0.11 · xT 0.03
    MontpellierMontpellier
    Form WLDDW
    Key players
    • Nordan MukieleLWxG 0.25 · xT 0.27
    • Nicolas PaysRWxG 0.16 · xT 0.14
    • Lacine Megnan PaveFxG 0.34 · xT 0.28

    Match prediction: DunkerqueMontpellier

    Predicted score matrix

    Montpellier
    Dunkerque
    0
    1
    2
    3
    4+
    0
    0–07.8%
    0–18.5%
    0–25.3%
    0–32.1%
    0–4+0.8%
    1
    1–010.1%
    1–112.8%
    1–27.4%
    1–32.9%
    1–4+1.1%
    2
    2–07.4%
    2–18.8%
    2–25.2%
    2–32.1%
    2–4+0.8%
    3
    3–03.5%
    3–14.1%
    3–22.4%
    3–31.0%
    3–4+0.4%
    4+
    4+–01.7%
    4+–12.0%
    4+–21.2%
    4+–30.5%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.1-010%
    3. 3.2-19%
    4. 4.0-18%
    5. 5.0-08%
    Expected goals
    1,411,19
    Both teams to score
    53%

    Over/under goals

    Expected goals: 2,6
    Under 2,552%
    @1.92
    Over 2,548%
    @1.88

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Double chance Dunkerque or draw (1X)69%
    • Under 3.5 goals74%

    Combined probability

    50%

    Fair odds

    1.98

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

    02 · 3 legs

    Balanced

    • Double chance Dunkerque or draw (1X)69%
    • Under 2.5 goals52%
    • Egor Prutsev to score20%

    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 score53%
    • Over 2.5 goals48%
    • Egor Prutsev to score20%
    • Théo Chennahi 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 · Dunkerque42% probability@2.55BetsafeEV+7%reference odds
    • 1 · Dunkerque42% probability@2.55BetssonEV+7%reference odds
    • 1 · Dunkerque42% probability@2.55NordicbetEV+7%reference odds
    Bookmaker1 · DunkerqueX2 · Montpellier
    Betsafe
    EV+ 7%
    2.55
    3.202.55
    Betsson
    EV+ 7%
    2.55
    3.202.55
    Nordicbet
    EV+ 7%
    2.55
    3.202.55
    Pinnacle
    EV+ 7%
    2.55
    3.312.75

    Odds updated 17 Aug, 12:35

    Statistics

    Head-to-head

    2 matches
    Dunkerque 1Draw 0Montpellier 1
    Goals: 32 (⌀ 2,5)

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

    xG & xGA per match — 3-game rolling average

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

    Dunkerque
    Montpellier
    When goals are scored and conceded 2026
    Dunkerque (75)
    Montpellier (21)
    Pass networks

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

    Dunkerque
    Opa Sanganté: 131 passningar, xT 0.25SangantéBram Lagae: 124 passningar, xT 0.21LagaeAllan Linguet: 120 passningar, xT 0.6LinguetJordan Morel: 84 passningar, xT 0.04MorelVictor Mayela: 65 passningar, xT 0.12MayelaAdrien Lebeau: 60 passningar, xT 0.14LebeauAlex Daho: 42 passningar, xT 0.16DahoMaxence André Prévot: 41 passningar, xT 0PrévotThomas Robinet: 32 passningar, xT 0.52RobinetThéna Massock: 26 passningar, xT 0.01MassockMarco Decherf: 24 passningar, xT 0.36Decherf
    Montpellier
    Julien Laporte: 88 passningar, xT 0.08LaporteThéo Sainte-Luce: 85 passningar, xT 0.31Sainte-LuceSimon Ngapandouetnbu: 84 passningar, xT 0.06NgapandouetnbuYael Mouanga: 82 passningar, xT 0.12MouangaThéo Chennahi: 53 passningar, xT 0.18ChennahiDaylam Meddah: 49 passningar, xT 0.01MeddahNordan Mukiele: 36 passningar, xT 0.37MukieleNaoufel El Hannach: 34 passningar, xT 0.08HannachNicolas Pays: 33 passningar, xT 0.27PaysEnzo Tchato: 32 passningar, xT 0.2TchatoNoah Vidal-Cartoux: 24 passningar, xT 0.26Vidal-Cartoux
    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.

    Dunkerque
    Opa Sanganté: 131 passningar, xT 0.25SangantéBram Lagae: 124 passningar, xT 0.21LagaeAllan Linguet: 120 passningar, xT 0.6LinguetJordan Morel: 84 passningar, xT 0.04MorelVictor Mayela: 65 passningar, xT 0.12MayelaAdrien Lebeau: 60 passningar, xT 0.14LebeauAlex Daho: 42 passningar, xT 0.16DahoMaxence André Prévot: 41 passningar, xT 0PrévotThomas Robinet: 32 passningar, xT 0.52RobinetThéna Massock: 26 passningar, xT 0.01MassockMarco Decherf: 24 passningar, xT 0.36Decherf
    Montpellier
    Julien Laporte: 88 passningar, xT 0.08LaporteThéo Sainte-Luce: 85 passningar, xT 0.31Sainte-LuceSimon Ngapandouetnbu: 84 passningar, xT 0.06NgapandouetnbuYael Mouanga: 82 passningar, xT 0.12MouangaThéo Chennahi: 53 passningar, xT 0.18ChennahiDaylam Meddah: 49 passningar, xT 0.01MeddahNordan Mukiele: 36 passningar, xT 0.37MukieleNaoufel El Hannach: 34 passningar, xT 0.08HannachNicolas Pays: 33 passningar, xT 0.27PaysEnzo Tchato: 32 passningar, xT 0.2TchatoNoah Vidal-Cartoux: 24 passningar, xT 0.26Vidal-Cartoux
    The goalkeepersBram Lagae (Dunkerque)Simon Ngapandouetnbu (Montpellier)
    Saves38
    Save %100%89%
    xG prevented100%60%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Dunkerque vs Montpellier according to our model?

    The model gives Dunkerque a 42% win probability. Full 1X2 picture: Dunkerque 42%, draw 27%, Montpellier 31%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 13% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 48% and under at 52%.

    Will both teams score?

    The probability of both teams scoring is 53% 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.