Ligue 2Stade de la Mosson, Montpellier14°19 km/h

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    MontpellierMontpellier
    vs
    GrenobleGrenoble
    The model's lean: 1 · Montpellier (61%)

    Montpellier vs Grenoble · Ligue 2

    1 · Montpellier 61%X 23%16% Grenoble · 2

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    Analysis: Montpellier – Grenoble

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

    TEXT: Montpellier's recent encounters with Grenoble reveal a small yet telling pattern: in their two meetings since 2023, Montpellier has come out on top once and drawn the other. While this sample size is minimal and less significant than current form and expected goals, it does hint at a slight psychological edge for the home side. Digging deeper into the current statistics, it becomes clear that Montpellier holds a stronger position going into this clash.

    The home team's model probability of 61% to secure a victory is underpinned by expected goals tallying 1.85 in their favor, compared to Grenoble's modest 0.72. These numbers suggest a controlled performance from the hosts, potentially dominating possession and crafting more clear-cut opportunities. The most probable scorelines further echo this dominance, with a 1-0 or 2-0 victory standing out at 14% and 13%, respectively. A low-scoring match seems likely, with the model estimating only a 47% chance of more than 2.5 goals and both teams finding the net at just 43%.

    Grenoble face a tough task, not just in terms of form but also when considering the model's lean and expectations. Their meager 16% chance of victory paints a stark picture of the uphill battle ahead. Despite their resilience in recent meetings, they might struggle to breach Montpellier's defenses effectively, especially when the hosts are buoyed by home advantage and historical edge.

    With a clear home advantage and favorable expected goals margin, this match leans towards a controlled victory for the hosts. A 1-0 finish aligns well with both the probabilities and the current form, making it a sensible projection for those looking to capitalize on the data.

    MontpellierMontpellier
    Form WDLWD
    Key players
    • Mamadou CamaraFxG 0.55 · xT -0.03
    • Nicolas PaysRWxG 0.11 · xT 0.09
    • Naoufel El HannachRWBxG 0.02 · xT 0.14
    GrenobleGrenoble
    Form LWLWD
    Key players
    • Samba DibaFxG 0.16 · xT 0.08
    • Baptiste MouazanLWxG 0.16 · xT 0.04
    • Nesta ZahuiRWBxG 0.00 · xT 0.12

    Match prediction: Montpellier – Grenoble

    Predicted score matrix

    Grenoble →
    Montpellier →
    0
    1
    2
    3
    4+
    0
    0–08.0%
    0–15.2%
    0–22.0%
    0–30.5%
    0–4+0.1%
    1
    1–013.9%
    1–110.5%
    1–23.6%
    1–30.9%
    1–4+0.2%
    2
    2–013.1%
    2–19.4%
    2–23.4%
    2–30.8%
    2–4+0.2%
    3
    3–08.1%
    3–15.8%
    3–22.1%
    3–30.5%
    3–4+0.1%
    4+
    4+–05.7%
    4+–14.1%
    4+–21.5%
    4+–30.3%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-014%
    2. 2.2-013%
    3. 3.1-110%
    4. 4.2-19%
    5. 5.3-08%
    Expected goals
    1,85–0,72
    Both teams to score
    43%

    Over/under goals

    Expected goals: 2,6
    Under 2,553%
    @1.72
    Over 2,547%
    @2.00

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    01 · 2 legs

    Safe

    • Montpellier to win61%
    • Under 3.5 goals74%

    Combined probability

    45%

    Fair odds

    2.24

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

    02 · 3 legs

    Balanced

    • Montpellier to win61%
    • Under 2.5 goals53%
    • Daylam Meddah to score33%

    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 score43%
    • Over 2.5 goals47%
    • Daylam Meddah to score33%
    • Yohann Magnin to be booked24%

    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

    Bookmaker1 · MontpellierX2 · Grenoble
    Betsafe1.623.455.30
    LeoVegas1.613.605.00
    Nordicbet1.623.455.30

    Odds updated 1 Oct, 07:36

    Statistics

    Head-to-head

    2 matches
    Montpellier 1Draw 1Grenoble 0
    Goals: 3–2 (⌀ 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).

    Montpellier
    Grenoble
    When goals are scored and conceded — 2026
    Montpellier (6–5)
    Grenoble (8–11)
    Pass networks

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

    Montpellier
    Julien Laporte: 376 passningar, xT 0.44LaporteFlorian Tardieu: 341 passningar, xT 0.85TardieuThéo Sainte-Luce: 307 passningar, xT 0.29Sainte-LuceNaoufel El Hannach: 217 passningar, xT 0.48HannachDaylam Meddah: 207 passningar, xT 0.16MeddahSimon Ngapandouetnbu: 185 passningar, xT 0.02NgapandouetnbuYael Mouanga: 185 passningar, xT 0.02MouangaNicolas Pays: 111 passningar, xT 0.28PaysNordan Mukiele: 98 passningar, xT 0.17MukieleYanis Zouaoui: 74 passningar, xT 0.1ZouaouiThéo Chennahi: 65 passningar, xT 0.33Chennahi
    Grenoble
    Matthéo Xantippe: 198 passningar, xT 0.85XantippeClément Vidal: 191 passningar, xT 0.07VidalYohann Magnin: 160 passningar, xT -0.06MagninLucas Bernadou: 157 passningar, xT 0.16BernadouNesta Zahui: 155 passningar, xT 0.47ZahuiAlexandre Olliero: 142 passningar, xT 0.07OllieroAurélien Pelon: 99 passningar, xT 0.11PelonBaptiste Mouazan: 70 passningar, xT -0.04MouazanSamba Diba: 62 passningar, xT 0.34DibaJean-Guy Akpa Akpro: 47 passningar, xT 0.26AkproEfe Sarıkaya: 40 passningar, xT -0.01Sarıkaya
    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.

    Montpellier
    Julien Laporte: 376 passningar, xT 0.44LaporteFlorian Tardieu: 341 passningar, xT 0.85TardieuThéo Sainte-Luce: 307 passningar, xT 0.29Sainte-LuceNaoufel El Hannach: 217 passningar, xT 0.48HannachDaylam Meddah: 207 passningar, xT 0.16MeddahSimon Ngapandouetnbu: 185 passningar, xT 0.02NgapandouetnbuYael Mouanga: 185 passningar, xT 0.02MouangaNicolas Pays: 111 passningar, xT 0.28PaysNordan Mukiele: 98 passningar, xT 0.17MukieleYanis Zouaoui: 74 passningar, xT 0.1ZouaouiThéo Chennahi: 65 passningar, xT 0.33Chennahi
    Grenoble
    Matthéo Xantippe: 198 passningar, xT 0.85XantippeClément Vidal: 191 passningar, xT 0.07VidalYohann Magnin: 160 passningar, xT -0.06MagninLucas Bernadou: 157 passningar, xT 0.16BernadouNesta Zahui: 155 passningar, xT 0.47ZahuiAlexandre Olliero: 142 passningar, xT 0.07OllieroAurélien Pelon: 99 passningar, xT 0.11PelonBaptiste Mouazan: 70 passningar, xT -0.04MouazanSamba Diba: 62 passningar, xT 0.34DibaJean-Guy Akpa Akpro: 47 passningar, xT 0.26AkproEfe Sarıkaya: 40 passningar, xT -0.01Sarıkaya
    The goalkeepersSimon Ngapandouetnbu (Montpellier)Alexandre Olliero (Grenoble)
    Saves2926
    Save %85%70%
    xG prevented78%39%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Montpellier vs Grenoble according to our model?

    The model gives Montpellier a 61% win probability. Full 1X2 picture: Montpellier 61%, draw 23%, Grenoble 16%.

    What is the most likely scoreline?

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

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 47% and under at 53%.

    Will both teams score?

    The probability of both teams scoring is 43% 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.