Ligue 2Stade Bauer, Saint-Ouen

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    Red StarRed Star
    vs
    MetzMetz
    The model's lean: 1 · Red Star (51%)

    Red StarMetz · Ligue 2

    1 · Red Star 51%X 28%21% Metz · 2

    Analysis: Red StarMetz

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

    TEXT:

    51% marks the model's confidence in Red Star's ability to secure a victory at home against Metz. This edge in probability is supported by Red Star's expected goals tally of 1.63 compared to Metz's 1.01, suggesting a higher likelihood of the hosts finding the net more frequently. Despite this, the most probable scoreline remains a 1-1 draw at 12%, reflecting Metz’s recent resilience with a seven-game unbeaten streak in the league.

    The small head-to-head sample since 2023 should not overshadow the form dynamics, as Red Star's single win and draw against Metz offer limited predictive value. The model's lean towards a 1-0 or 2-1 result underscores a tight match-up, where Red Star's attacking potential may edge out Metz's defense. With the over 2.5 goals probability at just 49%, the match leans slightly towards a more conservative scoreline, yet both teams to score is a marginally likelier scenario at 52%.

    This assessment hinges on the belief that Metz's unbeaten run may face a stern test against a numerically superior Red Star side.

    Red StarRed Star
    Form WDDLW
    Key players
    • Kévin CabralFxG 0.28 · xT 0.03
    • Damien DurandLWxG 0.41 · xT 0.26
    • Samuel RenelCDMxG 0.07 · xT 0.17
    MetzMetz
    Form WDDDW
    Key players
    • Pape Moussa FallFxG 0.90 · xT -0.04
    • Jahyann PandoreCAMxG 0.02 · xT 0.22
    • Idris MohamedCMxG 0.05 · xT 0.05

    Match prediction: Red StarMetz

    Predicted score matrix

    Metz
    Red Star
    0
    1
    2
    3
    4+
    0
    0–07.4%
    0–16.9%
    0–23.7%
    0–31.2%
    0–4+0.4%
    1
    1–011.2%
    1–112.1%
    1–26.0%
    1–32.0%
    1–4+0.6%
    2
    2–09.4%
    2–19.6%
    2–24.9%
    2–31.6%
    2–4+0.5%
    3
    3–05.1%
    3–15.2%
    3–22.6%
    3–30.9%
    3–4+0.3%
    4+
    4+–03.0%
    4+–13.1%
    4+–21.6%
    4+–30.5%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-011%
    3. 3.2-110%
    4. 4.2-09%
    5. 5.0-07%
    Expected goals
    1,631,01
    Both teams to score
    52%

    Over/under goals

    Expected goals: 2,6
    Under 2,551%
    @1.86
    Over 2,549%
    @1.96

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Red Star to win51%
    • Under 3.5 goals73%

    Combined probability

    35%

    Fair odds

    2.83

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

    02 · 3 legs

    Balanced

    • Red Star to win51%
    • Under 2.5 goals51%
    • Kévin Cabral to score27%

    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 score52%
    • Over 2.5 goals49%
    • Kévin Cabral to score27%
    • Jessy Deminguet 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

    The model's value spots

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

    • 1 · Red Star51% probability@2.66PinnacleEV+35%reference odds
    Bookmaker1 · Red StarX2 · Metz
    Pinnacle
    EV+ 35%
    2.66
    3.252.70

    Odds updated 11 Sept, 16:13

    Odds movement

    1-2 %
    38 %33 %

    2.712.66

    X0 %
    32 %27 %

    3.243.25

    2+3 %
    38 %33 %

    2.632.70

    Over 2,50 %
    51 %46 %

    1.951.96

    Pinnacle · 6 recorded price levels · 08/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    2 matches
    Red Star 1Draw 1Metz 0
    Goals: 32 (⌀ 2,5)

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

    Key facts

    • Metz are unbeaten in their last 7 league matches.
    xG & xGA per match — 3-game rolling average

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

    Red Star
    Metz
    When goals are scored and conceded 2026
    Red Star (56)
    Metz (84)
    Pass networks

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

    Red Star
    Dylan Durivaux: 322 passningar, xT 0.9DurivauxElyaz Zidane Fernández: 232 passningar, xT 0.38FernándezThéo Magnin: 190 passningar, xT 0.9MagninMatthieu Huard: 165 passningar, xT 0.33HuardIslamdine Halifa: 151 passningar, xT 0.61HalifaGaetan Poussin: 131 passningar, xT 0.14PoussinDamien Durand: 94 passningar, xT 1.24DurandKémo Cissé: 89 passningar, xT 0.06CisséSamuel Renel: 85 passningar, xT 0.19RenelKévin Cabral: 62 passningar, xT 0.11CabralRyad Hachem: 53 passningar, xT 0.22Hachem
    Metz
    Cristian David Castro Devenish: 253 passningar, xT 0.34DevenishJean Ruiz: 197 passningar, xT 0.18RuizJessy Deminguet: 189 passningar, xT 0.98DeminguetFlorian Jérémie Miguel: 148 passningar, xT 0.96MiguelBelieve Munongo: 129 passningar, xT 0.37MunongoBouna Junior Sarr: 128 passningar, xT 0.13SarrJonathan Fischer: 127 passningar, xT 0.17FischerIdris Mohamed: 122 passningar, xT 0.15MohamedGiorgi Abuashvili: 84 passningar, xT 0.75AbuashviliTéji Tedy Savanier: 72 passningar, xT 0.6SavanierJahyann Pandore: 61 passningar, xT 0.58Pandore
    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.

    Red Star
    Dylan Durivaux: 322 passningar, xT 0.9DurivauxElyaz Zidane Fernández: 232 passningar, xT 0.38FernándezThéo Magnin: 190 passningar, xT 0.9MagninMatthieu Huard: 165 passningar, xT 0.33HuardIslamdine Halifa: 151 passningar, xT 0.61HalifaGaetan Poussin: 131 passningar, xT 0.14PoussinDamien Durand: 94 passningar, xT 1.24DurandKémo Cissé: 89 passningar, xT 0.06CisséSamuel Renel: 85 passningar, xT 0.19RenelKévin Cabral: 62 passningar, xT 0.11CabralRyad Hachem: 53 passningar, xT 0.22Hachem
    Metz
    Cristian David Castro Devenish: 253 passningar, xT 0.34DevenishJean Ruiz: 197 passningar, xT 0.18RuizJessy Deminguet: 189 passningar, xT 0.98DeminguetFlorian Jérémie Miguel: 148 passningar, xT 0.96MiguelBelieve Munongo: 129 passningar, xT 0.37MunongoBouna Junior Sarr: 128 passningar, xT 0.13SarrJonathan Fischer: 127 passningar, xT 0.17FischerIdris Mohamed: 122 passningar, xT 0.15MohamedGiorgi Abuashvili: 84 passningar, xT 0.75AbuashviliTéji Tedy Savanier: 72 passningar, xT 0.6SavanierJahyann Pandore: 61 passningar, xT 0.58Pandore
    The goalkeepersGaetan Poussin (Red Star)Jonathan Fischer (Metz)
    Saves1815
    Save %75%83%
    xG prevented47%63%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Red Star vs Metz according to our model?

    The model gives Red Star a 51% win probability. Full 1X2 picture: Red Star 51%, draw 28%, Metz 21%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 12% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 49% and under at 51%.

    Will both teams score?

    The probability of both teams scoring is 52% 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.