Ligue 2Stade de la Mosson, Montpellier29°15 km/h

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    MontpellierMontpellierPossession control
    11
    DijonDijon
    The model's lean: 1 · Montpellier (42%)Best value by the model: 2 · Dijon @ 4.30 (+33 %)

    Montpellier vs Dijon · Ligue 2

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

    Analysis: MontpellierDijon

    Anna Karlsson · · A data-driven preview · How the predictions work

    Montpellier's 42% chance of clinching victory suggests they're slight favourites, but the narrative is far from straightforward. Both sides are neck and neck in terms of expected goals, with Montpellier at 1.19 and Dijon at 1.17. This razor-thin margin sets the stage for a tightly contested affair, where neither team boasts a significant upper hand. The model points towards a 1-1 draw as the most likely scoreline, with a 14% probability, underscoring the balance in the matchup.

    Montpellier steps onto the pitch with a model-backed nod of superiority, albeit a modest one. Despite this, the expected probability of a draw at 27% looms large, almost equal to Dijon's 31% chance of snatching a win. The 1-0 results both ways (11% each) further highlight the uncertainty. The weather isn't playing a part this time, so we're looking at raw numbers here, unadulterated by rain or wind.

    Dijon, though not the bookmaker's favourite, presents an intriguing betting opportunity. Pinnacle offers value odds of 3.83 for an away win, a figure the model rates with a 31% probability, signaling a substantial 19% edge. While the numbers hint at a potential upset, remember that fewer than six games in the head-to-head data mean this context doesn't weigh heavily against form and expected goals.

    With just a 42% probability for over 2.5 goals and a 48% chance for both teams to find the net, the expectation leans towards a low-scoring clash. The stats suggest defensive tenacity over offensive fireworks, steering the speculative eye towards the under 2.5 goals market.

    In conclusion, while Montpellier edges the probabilities slightly, Dijon's odds present a tantalizing opportunity for the daring punter. At 3.83 with Pinnacle and a 19% edge, those with a taste for risk might find their fortune in the away side.

    MontpellierMontpellier
    Form DWWLD
    League ranking xG #6xGA #12xT #10xP/match #11Points #8
    Key players
    • Nicolas PaysRWxG 0.13 · xT 0.15
    • Alexandre MendyFxG 0.48 · xT 0.03
    • Julien LaporteCBxG 0.11 · xT 0.13
    DijonDijon
    Final score
    11
    The model missed the outcome
    Predicted probabilities: Montpellier 42% · Draw 27% · Dijon 31%

    Match prediction: MontpellierDijon

    Predicted score matrix

    Dijon
    Montpellier
    0
    1
    2
    3
    4+
    0
    0–09.9%
    0–110.7%
    0–26.5%
    0–32.5%
    0–4+0.9%
    1
    1–010.9%
    1–113.5%
    1–27.7%
    1–33.0%
    1–4+1.1%
    2
    2–06.7%
    2–17.8%
    2–24.6%
    2–31.8%
    2–4+0.7%
    3
    3–02.6%
    3–13.1%
    3–21.8%
    3–30.7%
    3–4+0.3%
    4+
    4+–01.0%
    4+–11.2%
    4+–20.7%
    4+–30.3%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-114%
    2. 2.1-011%
    3. 3.0-111%
    4. 4.0-010%
    5. 5.2-18%
    Expected goals
    1,191,17
    Both teams to score
    48%

    Over/under goals

    Expected goals: 2,4
    Under 2,558%
    @1.74EV+1%
    Over 2,542%
    @2.14

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Montpellier or draw (1X)65%
    • Under 3.5 goals79%

    Combined probability

    51%

    Fair odds

    1.94

    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 (1X)65%
    • Under 2.5 goals58%
    • Nicolas Pays 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 score48%
    • Over 2.5 goals42%
    • Júlio Carolino Tavares to score24%
    • Jordan Marié 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

    The model's value spots

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

    • 2 · Dijon31% probability@4.30PinnacleEV+33%reference odds
    • Under 2.558% probability@1.74PinnacleEV+1%reference odds
    Bookmaker1 · MontpellierX2 · Dijon
    Pinnacle1.863.64
    EV+ 33%
    4.30

    Odds updated 8 Aug, 10:09

    Odds movement

    Market signal

    The market has moved clearly towards a Montpellier win since 4 August — the odds have shortened from 1.96 to 1.86 (−5%).

    1-5 %
    52 %47 %

    1.961.86

    X+1 %
    29 %24 %

    3.603.64

    2+17 %
    27 %22 %

    3.664.30

    Over 2,50 %
    47 %42 %

    2.142.14

    Pinnacle · 8 recorded price levels · 04/08/2026 → 08/08/2026 · fixed scale 5 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Montpellier
    When goals are scored and conceded 2025
    Montpellier (4131)
    Pass networks

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

    Montpellier
    Julien Laporte: 316 passningar, xT 0.7LaporteYael Mouanga: 278 passningar, xT 0.09MouangaThéo Sainte-Luce: 207 passningar, xT 0.43Sainte-LuceSimon Ngapandouetnbu: 204 passningar, xT 0.02NgapandouetnbuEnzo Tchato: 161 passningar, xT 1.04TchatoThéo Chennahi: 156 passningar, xT 0.09ChennahiChristopher Jullien: 154 passningar, xT 0.09JullienNicolas Pays: 108 passningar, xT 0.45PaysNathanaël Mbuku: 67 passningar, xT 0.1MbukuTéji Tedy Savanier: 66 passningar, xT 0.56SavanierKhalil Fayad: 58 passningar, xT 0.02Fayad
    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: 316 passningar, xT 0.7LaporteYael Mouanga: 278 passningar, xT 0.09MouangaThéo Sainte-Luce: 207 passningar, xT 0.43Sainte-LuceSimon Ngapandouetnbu: 204 passningar, xT 0.02NgapandouetnbuEnzo Tchato: 161 passningar, xT 1.04TchatoThéo Chennahi: 156 passningar, xT 0.09ChennahiChristopher Jullien: 154 passningar, xT 0.09JullienNicolas Pays: 108 passningar, xT 0.45PaysNathanaël Mbuku: 67 passningar, xT 0.1MbukuTéji Tedy Savanier: 66 passningar, xT 0.56SavanierKhalil Fayad: 58 passningar, xT 0.02Fayad
    The goalkeepersSimon Ngapandouetnbu (Montpellier)Dijon
    Saves101
    Save %80%
    xG prevented60%
    Claims0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Montpellier vs Dijon according to our model?

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

    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 42% and under at 58%.

    Will both teams score?

    The probability of both teams scoring is 48% 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.