Ligue 2Stade Auguste-Delaune, Reims18°0,3 mm16 km/h

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    ReimsReims
    vs
    MontpellierMontpellier
    The model's lean: 1 · Reims (42%)

    ReimsMontpellier · Ligue 2

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

    Analysis: ReimsMontpellier

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

    TEXT: Reims' unbeaten streak of 12 league matches is a compelling number that stands out ahead of their clash with Montpellier. The model positions the hosts as favorites, granting them a 42% chance of victory. In contrast, Montpellier holds a mere 30% probability. The expected goals numbers, leaning towards Reims at 1.49 against the visitors' 1.17, reinforce this view, suggesting the home side is well-positioned to capitalize on their current form.

    Despite the small head-to-head sample since 2023, Reims' record against Montpellier reads 1 win and 1 draw, hinting at a psychological edge, albeit a minor one. The most likely scorelines—1-1 and 1-0—reflect a tight encounter, but with Reims' form, a 1-0 win seems plausible. The probability for both teams to score sits at 54%, while the over 2.5 goals probability sits at an even 50%, pointing to a closely balanced game in terms of total goals.

    For bettors eyeing value, a Reims win aligns with the model's lean. Their form and the model's lean make this an intriguing proposition. As the numbers converge, the hosts appear the side to back, with a narrow victory on the cards.

    ReimsReims
    Form DDWWD
    Key players
    • Ange Martial TiaRWxG 0.13 · xT 0.07
    • Daouda GuindoLWBxG 0.04 · xT 0.16
    • Yaya FofanaCAMxG 0.43 · xT 0.09
    MontpellierMontpellier
    Form DWWDL
    Key players
    • Florian TardieuCAMxG 0.26 · xT 0.07
    • Nicolas PaysRWxG 0.15 · xT 0.12
    • Naoufel El HannachRWBxG 0.03 · xT 0.09

    Match prediction: ReimsMontpellier

    Predicted score matrix

    Montpellier
    Reims
    0
    1
    2
    3
    4+
    0
    0–07.4%
    0–17.8%
    0–24.8%
    0–31.9%
    0–4+0.7%
    1
    1–010.1%
    1–112.6%
    1–27.1%
    1–32.8%
    1–4+1.0%
    2
    2–07.8%
    2–19.1%
    2–25.3%
    2–32.1%
    2–4+0.8%
    3
    3–03.9%
    3–14.5%
    3–22.6%
    3–31.0%
    3–4+0.4%
    4+
    4+–02.0%
    4+–12.3%
    4+–21.4%
    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. 5.2-08%
    Expected goals
    1,491,17
    Both teams to score
    54%

    Over/under goals

    Expected goals: 2,7
    Under 2,550%
    Over 2,550%

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Double chance Reims or draw (1X)71%
    • Under 3.5 goals72%

    Combined probability

    51%

    Fair odds

    1.97

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

    02 · 3 legs

    Balanced

    • Double chance Reims or draw (1X)71%
    • Under 2.5 goals50%
    • Chamsedin Kouranfal to score30%

    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 score54%
    • Over 2.5 goals50%
    • Chamsedin Kouranfal to score30%
    • Florian Tardieu to be booked25%

    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

    No odds available yet.

    Statistics

    Head-to-head

    2 matches
    Reims 1Draw 1Montpellier 0
    Goals: 20 (⌀ 1)

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

    Key facts

    • Reims are unbeaten in their last 12 league matches.
    xG & xGA per match — 3-game rolling average

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

    Reims
    Montpellier
    When goals are scored and conceded 2026
    Reims (127)
    Montpellier (44)
    Pass networks

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

    Reims
    Samuel Junior Kotto: 279 passningar, xT 0.32KottoN'Tamon Elie Ahouonon: 265 passningar, xT 0.33AhouononDaouda Guindo: 188 passningar, xT 0.77GuindoJean-Tryfose Mambuku: 158 passningar, xT 0.89MambukuThéo Leoni: 146 passningar, xT 0.37LeoniTom Hulsmann: 145 passningar, xT 0.12HulsmannAnge Martial Tia: 128 passningar, xT -0.05TiaYaya Fofana: 92 passningar, xT 0.28FofanaMohamed Daramy: 81 passningar, xT 0.04DaramyMory Gbane: 62 passningar, xT 0.11GbaneArmel Junior Zohouri: 47 passningar, xT 0.16Zohouri
    Montpellier
    Julien Laporte: 289 passningar, xT 0.31LaporteThéo Sainte-Luce: 217 passningar, xT 0.46Sainte-LuceSimon Ngapandouetnbu: 185 passningar, xT 0.08NgapandouetnbuYael Mouanga: 180 passningar, xT 0.13MouangaDaylam Meddah: 178 passningar, xT 0.15MeddahFlorian Tardieu: 160 passningar, xT 0.25TardieuNaoufel El Hannach: 126 passningar, xT 0.19HannachNicolas Pays: 99 passningar, xT 0.57PaysNordan Mukiele: 78 passningar, xT 0.65MukieleThéo Chennahi: 71 passningar, xT 0.17ChennahiNoah Vidal-Cartoux: 61 passningar, xT 0.32Vidal-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.

    Reims
    Samuel Junior Kotto: 279 passningar, xT 0.32KottoN'Tamon Elie Ahouonon: 265 passningar, xT 0.33AhouononDaouda Guindo: 188 passningar, xT 0.77GuindoJean-Tryfose Mambuku: 158 passningar, xT 0.89MambukuThéo Leoni: 146 passningar, xT 0.37LeoniTom Hulsmann: 145 passningar, xT 0.12HulsmannAnge Martial Tia: 128 passningar, xT -0.05TiaYaya Fofana: 92 passningar, xT 0.28FofanaMohamed Daramy: 81 passningar, xT 0.04DaramyMory Gbane: 62 passningar, xT 0.11GbaneArmel Junior Zohouri: 47 passningar, xT 0.16Zohouri
    Montpellier
    Julien Laporte: 289 passningar, xT 0.31LaporteThéo Sainte-Luce: 217 passningar, xT 0.46Sainte-LuceSimon Ngapandouetnbu: 185 passningar, xT 0.08NgapandouetnbuYael Mouanga: 180 passningar, xT 0.13MouangaDaylam Meddah: 178 passningar, xT 0.15MeddahFlorian Tardieu: 160 passningar, xT 0.25TardieuNaoufel El Hannach: 126 passningar, xT 0.19HannachNicolas Pays: 99 passningar, xT 0.57PaysNordan Mukiele: 78 passningar, xT 0.65MukieleThéo Chennahi: 71 passningar, xT 0.17ChennahiNoah Vidal-Cartoux: 61 passningar, xT 0.32Vidal-Cartoux
    The goalkeepersTom Hulsmann (Reims)Simon Ngapandouetnbu (Montpellier)
    Saves1522
    Save %68%85%
    xG prevented46%74%
    Claims0 (0%)0 (0%)

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    Frequently asked questions

    Who wins Reims vs Montpellier according to our model?

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

    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 50% and under at 50%.

    Will both teams score?

    The probability of both teams scoring is 54% 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.