Ligue 2Stade Marcel Picot, Nancy29°7 km/h

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    NancyNancy
    vs
    MontpellierMontpellier
    The model's lean: 2 · Montpellier (42%)Best value by the model: Under 1,5 @ 3.35 (+16 %)

    NancyMontpellier · Ligue 2

    1 · Nancy 28%X 30%42% Montpellier · 2

    Analysis: NancyMontpellier

    Anna Karlsson · · How the predictions work

    Montpellier have had the upper hand in their two recent encounters with Nancy, both ending in victories for the visitors. Yet, with such a small sample size, the head-to-head record offers only a whisper of insight compared to the louder signal of current form and expected goals.

    Nancy, despite the comfort of playing at home, find themselves grappling with the numbers. Their expected goals sit at a modest 0.99, hinting at a struggle to find the back of the net against a Montpellier side projected at 1.23. The bookmakers, along with the model, lean towards Montpellier with a 42% chance of taking all three points. The most likely outcomes — a 1-1 draw or a narrow 0-1 defeat — echo the cautious tale told by these numbers.

    38%. That's the probability for over 2.5 goals, suggesting that goals could be at a premium. The betting markets have latched onto this potential for a low-scoring affair. Pinnacle is offering under 2.5 goals at odds of 1.9, with a model-backed edge of 18%. For the more adventurous punters, the under 1.5 goals bet holds tantalizing value at 3.35 with both Betsafe and Betsson, presenting a 16% edge.

    Montpellier may have their noses ahead, but the true intrigue of this fixture lies not in the outright result but in its potential scarcity of goals. While Nancy might dream of disrupting the odds, the sharpest angle here is to back a game of few chances, where defenses could just have the final say.

    NancyNancy
    Form LDWWD
    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
    MontpellierMontpellier
    Form WWLDD
    Key players
    • Nicolas PaysRWxG 0.16 · xT 0.14
    • Yael MouangaCBxG 0.21 · xT 0.12
    • Théo Sainte-LuceLBxG 0.42 · xT 0.24

    Match prediction: NancyMontpellier

    Predicted score matrix

    Montpellier
    Nancy
    0
    1
    2
    3
    4+
    0
    0–011.3%
    0–113.0%
    0–28.2%
    0–33.4%
    0–4+1.3%
    1
    1–010.4%
    1–113.6%
    1–28.1%
    1–33.3%
    1–4+1.3%
    2
    2–05.3%
    2–16.5%
    2–24.0%
    2–31.6%
    2–4+0.7%
    3
    3–01.8%
    3–12.2%
    3–21.3%
    3–30.5%
    3–4+0.2%
    4+
    4+–00.5%
    4+–10.7%
    4+–20.4%
    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. 2.0-113%
    3. 3.0-011%
    4. 4.1-010%
    5. 5.0-28%
    Expected goals
    0,991,23
    Both teams to score
    45%

    Over/under goals

    Expected goals: 2,2
    Under 2,562%
    @1.83EV+13%
    Over 2,538%
    @2.00

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Montpellier or draw (X2)71%
    • Under 3.5 goals82%

    Combined probability

    58%

    Fair odds

    1.74

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

    02 · 3 legs

    Balanced

    • Double chance Montpellier or draw (X2)71%
    • Under 2.5 goals62%
    • Nicolas Pays to score25%

    Combined probability

    12%

    Fair odds

    8.54

    Result and goals are priced jointly from the matrix; the scorer is the model's most likely in the picked side.

    03 · 4 legs

    Bold

    • Both teams to score45%
    • Over 2.5 goals38%
    • Nicolas Pays to score25%
    • Julien Laporte to be booked22%

    Combined probability

    2%

    Fair odds

    57.31

    The goal-fest: both teams score with at least three goals — combined with the match's most likely scorer and card candidate.

    Odds & value

    The model's value spots

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

    • Under 1.535% probability@3.35BetsafeEV+16%
    • Under 1.535% probability@3.35BetssonEV+16%
    • Under 1.535% probability@3.35NordicbetEV+16%
    Bookmaker1 · NancyX2 · Montpellier
    Betsafe2.683.25
    EV+ 2%
    2.45
    Betsson2.683.25
    EV+ 2%
    2.45
    Nordicbet2.683.25
    EV+ 2%
    2.45
    Pinnacle2.63
    EV+ 6%
    3.48
    EV+ 6%
    2.55

    Odds updated 13 Aug, 14:12

    Odds movement

    Market signal

    The market has moved clearly towards a Nancy win since 9 August — the odds have shortened from 3.17 to 2.63 (−17%).

    1-17 %
    38 %28 %

    3.172.63

    X+4 %
    32 %22 %

    3.343.48

    2+13 %
    44 %34 %

    2.252.55

    Over 2,5+4 %
    54 %44 %

    1.932.00

    Pinnacle · 5 recorded price levels · 09/08/2026 → 13/08/2026 · fixed scale 10 percentage points

    Statistics

    Head-to-head

    2 matches
    Nancy 0Draw 0Montpellier 2
    Goals: 17 (⌀ 4)

    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).

    Nancy
    Montpellier
    When goals are scored and conceded 2026
    Montpellier (11)
    Pass networks

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

    Nancy
    Nehemiah Fernandez-Veliz: 81 passningar, xT 0.12Fernandez-VelizElydjah Mendy: 66 passningar, xT 0.09MendyJérémy Pierre Sincère Gélin: 42 passningar, xT 0.04GélinLogan Yves Ndenbe: 41 passningar, xT 0.02NdenbeEnzo Tacafred: 37 passningar, xT 0.03TacafredEnzo Basilio: 36 passningar, xT 0.01BasilioWalid Bouabdelli: 33 passningar, xT -0.01BouabdelliKouroufia Kebe: 30 passningar, xT 0.06KebeZakaria Fdaouch: 29 passningar, xT 0.11FdaouchIlyes Housni: 20 passningar, xT -0.02HousniMamadou Fofana: 10 passningar, xT 0.15Fofana
    Montpellier
    Théo Sainte-Luce: 55 passningar, xT 0.24Sainte-LuceYael Mouanga: 50 passningar, xT 0.12MouangaJulien Laporte: 41 passningar, xT 0.01LaporteThéo Chennahi: 35 passningar, xT 0.17ChennahiNaoufel El Hannach: 34 passningar, xT 0.08HannachSimon Ngapandouetnbu: 34 passningar, xT 0.04NgapandouetnbuDaylam Meddah: 29 passningar, xT -0.07MeddahNordan Mukiele: 23 passningar, xT 0.35MukieleNoah Vidal-Cartoux: 18 passningar, xT 0.22Vidal-CartouxNicolas Pays: 16 passningar, xT 0.14PaysGrégory Ayem: 10 passningar, xT 0.06Ayem
    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.

    Nancy
    Nehemiah Fernandez-Veliz: 81 passningar, xT 0.12Fernandez-VelizElydjah Mendy: 66 passningar, xT 0.09MendyJérémy Pierre Sincère Gélin: 42 passningar, xT 0.04GélinLogan Yves Ndenbe: 41 passningar, xT 0.02NdenbeEnzo Tacafred: 37 passningar, xT 0.03TacafredEnzo Basilio: 36 passningar, xT 0.01BasilioWalid Bouabdelli: 33 passningar, xT -0.01BouabdelliKouroufia Kebe: 30 passningar, xT 0.06KebeZakaria Fdaouch: 29 passningar, xT 0.11FdaouchIlyes Housni: 20 passningar, xT -0.02HousniMamadou Fofana: 10 passningar, xT 0.15Fofana
    Montpellier
    Théo Sainte-Luce: 55 passningar, xT 0.24Sainte-LuceYael Mouanga: 50 passningar, xT 0.12MouangaJulien Laporte: 41 passningar, xT 0.01LaporteThéo Chennahi: 35 passningar, xT 0.17ChennahiNaoufel El Hannach: 34 passningar, xT 0.08HannachSimon Ngapandouetnbu: 34 passningar, xT 0.04NgapandouetnbuDaylam Meddah: 29 passningar, xT -0.07MeddahNordan Mukiele: 23 passningar, xT 0.35MukieleNoah Vidal-Cartoux: 18 passningar, xT 0.22Vidal-CartouxNicolas Pays: 16 passningar, xT 0.14PaysGrégory Ayem: 10 passningar, xT 0.06Ayem
    The goalkeepersEnzo Tacafred (Nancy)Simon Ngapandouetnbu (Montpellier)
    Saves13
    Save %100%75%
    xG prevented100%20%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Nancy vs Montpellier according to our model?

    The model gives Montpellier a 42% win probability. Full 1X2 picture: Nancy 28%, draw 30%, Montpellier 42%.

    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 38% and under at 62%.

    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.