Ligue 2Stade de la Mosson, Montpellier27°18 km/hUpdated

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    MontpellierMontpellierPossession control
    vs
    The model's lean: 1 · Montpellier (42%)
    DijonDijonPossession control

    MontpellierDijon · Ligue 2

    1 · Montpellier 42%X 27%31% Dijon · 2
    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
    League ranking xG #18xGA #19xT #11xP/match #18Points #18
    Key players
    • Teddy AverlantFxG 0.28 · xT 0.16
    • Yvan Ikia DimiFxG 0.13 · xT 0.05
    • Nordine KandilRWxG 0.15 · xT 0.18

    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%
    @1.70
    Over 2,542%
    @2.14

    Odds & value

    The model's value spots

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

    • 2 · Dijon31% probability@3.66PinnacleEV+14%
    Bookmaker1 · MontpellierX2 · Dijon
    Pinnacle1.963.60
    EV+ 14%
    3.66

    Odds updated 4 Aug, 09:04

    Analysis: MontpellierDijon

    Anna Karlsson · · How the predictions work

    42% isn't just a percentage; it's a decisive nudge from the model, whispering that Montpellier has the edge over Dijon in their Ligue 2 clash. Despite the narrow expected goals separating them — Montpellier at 1.19 and Dijon at 1.17 — it's the points tally and xG stats that tell the more compelling story. With 51 points to Dijon's 24, Montpellier's dominance is clear. Their ability to generate 1.3 xG per game compared to Dijon's 0.9 further tilts the scales towards the home side.

    Montpellier exudes control, a team that thrives on possession and dictates the pace, much like their opponents. Yet, the difference lies in execution. While Dijon mirrors this style, they falter at the defensive end, leaking 1.8 xGA per match. Montpellier, with a more respectable 1.2 xGA, appears more balanced and poised to capitalize on any slip-ups from their visitors.

    Dijon, however, isn't stepping into this match without a glimmer of value. A 31% chance to win, coupled with Pinnacle offering odds of 3.66, translates to a tantalizing 14% edge for those willing to back the underdog. It's the kind of opportunity that sharp bettors live for, where the numbers whisper that a surprise might just be on the cards.

    Bookmakers and punters alike may lean towards a tight affair, with a 1-1 scoreline priced at 14% and a 42% chance of the match staying under 2.5 goals. But the game could tilt either way, with Montpellier's 1-0 win and Dijon's mirror result both equally plausible at 11%. The tight margins tease a draw, yet the value on Dijon cannot go unnoticed.

    So, while Montpellier emerges as the statistical favorite, the sharp angle beckons from the away side. A punt on Dijon at those generous odds with Pinnacle just might be the play for those chasing value in a finely balanced Ligue 2 matchup.

    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 teams in numbers

    PerformanceMontpellierDijon
    Points5124
    xPoints45.930.5
    xG per match1.30.9
    xGA per match1.21.8
    xG within 8s of winning the ball0.260.11
    xGA within 8s of losing the ball0.20.36
    Playing styleMontpellierDijon
    Build-up efficiency0.310.3
    Field tilt0.50.4
    xT per match0.910.82
    xTA per match0.891.2
    Won balls, offensive half2818
    Pressing intensity0.220.23
    Pressing efficiency0.290.25
    Pressing efficiency, offensive half0.360.32
    Entries into the box per match128
    Entries into the box against1115
    Pass completion %0.780.76
    Pass completion % under pressure0.730.71
    Passes per match366327
    Passes against per match323385
    Switches of play per match18.925.7
    Long balls per match2531
    Set piecesMontpellierDijon
    xG from free kicks0.10.06
    Corners per match5.44.6
    Corners against per match4.75.8
    xG per corner0.050.04
    xGA per corner against0.050.06
    First touch, offensive corners %0.380.41
    First touch, defensive corners %0.530.56
    OtherMontpellierDijon
    Throw-in control0.660.68
    The goalkeepersSimon Ngapandouetnbu (Montpellier)Dijon
    Saves101
    Save %80%
    xG prevented60%
    Claims0 (0%)

    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.