Ligue 2Stade Saint-Symphorien, Metz17°12 km/h

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    MetzMetz
    vs
    Saint-ÉtienneSaint-Étienne
    The model's lean: 2 · Saint-Étienne (46%)Best value by the model: Under 2,5 @ 2.15 (+6 %)

    Metz vs Saint-Étienne · Ligue 2

    1 · Metz 28%X 26%46% Saint-Étienne · 2

    Analysis: MetzSaint-Étienne

    Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work

    TEXT (corrected):

    Saint-Étienne's 46% probability of victory overshadows Metz's 28% in the upcoming clash, signaling a likely edge for the visitors. Despite Metz's solid 60% home win rate in their historical sample, the current form leans towards Saint-Étienne. The model suggests that a 1-1 draw is the most probable outcome at 12%, followed closely by a 0-1 Saint-Étienne win at 10%.

    The expected goals further clarify the situation: 1.61 for Saint-Étienne against Metz's 1.10. This discrepancy underscores the visitors' stronger offensive potential. The over 2.5 goals probability sits at 51%, slightly favoring a more open scoring match, with both teams likely finding the net at 54%. However, given the tight expected goal margins and the model's predictions, a scoreline of 0-1 or 1-2 feels plausible.

    For punters searching for value, the under 3.5 goals market offers a solid proposition. Available at odds of 1.41 across Betsafe, Betsson, and Nordicbet, this angle aligns with the model's 71% rating. While the edge is effectively neutral at 0%, it's the sharpest play in a matchup where the numbers suggest controlled scoring.

    MetzMetz
    Form DDDWL
    Key players
    • Jahyann PandoreFxG 0.02 · xT 0.18
    • Pape Moussa FallFxG 0.75 · xT -0.03
    • Idris MohamedCMxG 0.05 · xT 0.05
    Saint-ÉtienneSaint-Étienne
    Form WWWWL
    Key players
    • Augustine BoakyeRWxG 0.12 · xT 0.13
    • Zuriko DavitashviliLWxG 0.16 · xT 0.27
    • Irvin Charly Jose CardonaRWxG 0.28 · xT 0.25

    Match prediction: MetzSaint-Étienne

    Predicted score matrix

    Saint-Étienne
    Metz
    0
    1
    2
    3
    4+
    0
    0–07.0%
    0–110.4%
    0–28.7%
    0–34.7%
    0–4+2.7%
    1
    1–07.0%
    1–112.1%
    1–29.5%
    1–35.1%
    1–4+2.9%
    2
    2–04.0%
    2–16.5%
    2–25.2%
    2–32.8%
    2–4+1.6%
    3
    3–01.5%
    3–12.4%
    3–21.9%
    3–31.0%
    3–4+0.6%
    4+
    4+–00.5%
    4+–10.8%
    4+–20.7%
    4+–30.4%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.0-110%
    3. 3.1-29%
    4. 4.0-29%
    5. 5.0-07%
    Expected goals
    1,101,61
    Both teams to score
    54%

    Over/under goals

    Expected goals: 2,7
    Under 2,549%
    @2.15EV+6%
    Over 2,551%
    @1.75

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Saint-Étienne to win46%
    • Over 1.5 goals76%

    Combined probability

    39%

    Fair odds

    2.59

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

    02 · 3 legs

    Balanced

    • Saint-Étienne to win46%
    • Over 2.5 goals51%
    • Jakob Breum Martinsen to score26%

    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 goals51%
    • Jakob Breum Martinsen to score26%
    • 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+).

    • Under 2.549% probability@2.15PinnacleEV+6%reference odds
    • 1 · Metz28% probability@3.72PinnacleEV+4%reference odds
    • 2 · Saint-Étienne46% probability@2.20Paddy PowerEV+1%reference odds
    Bookmaker1 · MetzX2 · Saint-Étienne
    Betsafe3.503.401.98
    Betsson3.503.401.98
    Nordicbet3.503.401.98
    Paddy Power2.803.25
    EV+ 1%
    2.20
    Pinnacle
    EV+ 4%
    3.72
    3.711.97

    Odds updated 19 Sept, 10:16

    Odds movement

    1+4 %
    28 %23 %

    3.583.72

    X+4 %
    29 %24 %

    3.573.71

    2-1 %
    50 %45 %

    1.991.97

    Over 2,5-1 %
    57 %52 %

    1.751.74

    Pinnacle · 11 recorded price levels · 15/09/2026 → 19/09/2026 · fixed scale 5 percentage points

    Statistics

    Key facts

    • Metz win 60% of their home matches all-time (20 played).
    xG & xGA per match — 3-game rolling average

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

    Metz
    Saint-Étienne
    When goals are scored and conceded 2026
    Metz (85)
    Saint-Étienne (176)
    Pass networks

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

    Metz
    Cristian David Castro Devenish: 269 passningar, xT 0.35DevenishJessy Deminguet: 175 passningar, xT 0.98DeminguetBouna Junior Sarr: 163 passningar, xT 0.19SarrJean Ruiz: 146 passningar, xT 0.14RuizJonathan Fischer: 145 passningar, xT 0.15FischerBelieve Munongo: 139 passningar, xT 0.3MunongoFlorian Jérémie Miguel: 128 passningar, xT 0.79MiguelTéji Tedy Savanier: 103 passningar, xT 0.61SavanierIdris Mohamed: 86 passningar, xT 0.13MohamedGiorgi Abuashvili: 85 passningar, xT 0.65AbuashviliMichel Mboula: 80 passningar, xT 0.14Mboula
    Saint-Étienne
    Áron Csongvai: 379 passningar, xT 0.45CsongvaiMaxime Bernauer: 331 passningar, xT 0.52BernauerSohaib Nair: 317 passningar, xT 0.37NairJulien Le Cardinal: 271 passningar, xT 0.4CardinalTamar Svetlin: 230 passningar, xT 0.01SvetlinKévin Pedro: 162 passningar, xT 0.22PedroZuriko Davitashvili: 161 passningar, xT 0.58DavitashviliAugustine Boakye: 107 passningar, xT 0.46BoakyeGautier Larsonneur: 96 passningar, xT 0.08LarsonneurJakob Breum Martinsen: 86 passningar, xT 0.04MartinsenIrvin Charly Jose Cardona: 75 passningar, xT 0.87Cardona
    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.

    Metz
    Cristian David Castro Devenish: 269 passningar, xT 0.35DevenishJessy Deminguet: 175 passningar, xT 0.98DeminguetBouna Junior Sarr: 163 passningar, xT 0.19SarrJean Ruiz: 146 passningar, xT 0.14RuizJonathan Fischer: 145 passningar, xT 0.15FischerBelieve Munongo: 139 passningar, xT 0.3MunongoFlorian Jérémie Miguel: 128 passningar, xT 0.79MiguelTéji Tedy Savanier: 103 passningar, xT 0.61SavanierIdris Mohamed: 86 passningar, xT 0.13MohamedGiorgi Abuashvili: 85 passningar, xT 0.65AbuashviliMichel Mboula: 80 passningar, xT 0.14Mboula
    Saint-Étienne
    Áron Csongvai: 379 passningar, xT 0.45CsongvaiMaxime Bernauer: 331 passningar, xT 0.52BernauerSohaib Nair: 317 passningar, xT 0.37NairJulien Le Cardinal: 271 passningar, xT 0.4CardinalTamar Svetlin: 230 passningar, xT 0.01SvetlinKévin Pedro: 162 passningar, xT 0.22PedroZuriko Davitashvili: 161 passningar, xT 0.58DavitashviliAugustine Boakye: 107 passningar, xT 0.46BoakyeGautier Larsonneur: 96 passningar, xT 0.08LarsonneurJakob Breum Martinsen: 86 passningar, xT 0.04MartinsenIrvin Charly Jose Cardona: 75 passningar, xT 0.87Cardona
    The goalkeepersJonathan Fischer (Metz)Gautier Larsonneur (Saint-Étienne)
    Saves2210
    Save %85%63%
    xG prevented57%32%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Metz vs Saint-Étienne according to our model?

    The model gives Saint-Étienne a 46% win probability. Full 1X2 picture: Metz 28%, draw 26%, Saint-Étienne 46%.

    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 51% and under at 49%.

    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.