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    ConcarneauConcarneauPossession control
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    The model's lean: 2 · Orléans (37%)
    OrléansOrléansPossession control

    ConcarneauOrléans · National 1

    1 · Concarneau 33%X 31%37% Orléans · 2
    ConcarneauConcarneau
    Form DWDDD
    League ranking xG #10xGA #4xT #10xP/match #4Points #10
    Key players
    • Sohan BaldoniFxG 0.28 · xT 0.13
    • Flavio da SilvaLWxG 0.25 · xT 0.15
    • Jordan Jessy TellFxG 0.23 · xT 0.03
    OrléansOrléans
    Form WLDWL
    League ranking xG #4xGA #6xT #1xP/match #5Points #6
    Key players
    • Fahd El KhoumistiFxG 0.56 · xT 0.11
    • Guillaume KhousRWxG 0.1 · xT 0.16
    • Jimmy GiraudonCBxG 0.02 · xT 0.07

    Match prediction: ConcarneauOrléans

    Predicted score matrix

    Orléans
    Concarneau
    0
    1
    2
    3
    4+
    0
    0–09.1%
    0–111.2%
    0–27.6%
    0–33.3%
    0–4+1.5%
    1
    1–09.4%
    1–113.2%
    1–28.5%
    1–33.7%
    1–4+1.6%
    2
    2–05.5%
    2–17.2%
    2–24.8%
    2–32.1%
    2–4+0.9%
    3
    3–02.0%
    3–12.7%
    3–21.8%
    3–30.8%
    3–4+0.3%
    4+
    4+–00.7%
    4+–11.0%
    4+–20.6%
    4+–30.3%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.0-111%
    3. 3.1-09%
    4. 4.0-09%
    5. 5.1-28%
    Expected goals
    1,121,32
    Both teams to score
    50%

    Over/under goals

    Expected goals: 2,4
    Under 2,556%
    Over 2,544%

    Odds & value

    No odds available yet.

    Analysis: ConcarneauOrléans

    Marcus Johansson · · How the predictions work

    Orleans might have the upper hand if you trust the model probabilities, pegging them at 37% to take the spoils against Concarneau's 33%. Yet, these numbers mask the intricate dance of data and form that underscore this National 1 clash. Concarneau have been a tough nut to crack recently, boasting an undefeated streak over their last six league fixtures. This resilience, paired with the historical head-to-head advantage of two wins out of four since 2024, raises eyebrows against the model's lean towards Orleans.

    Concarneau open play with a possession-focused style that often suffocates opponents, matching Orleans' own tactical preference. This mirroring sets the stage for a battle of attrition rather than a goal-fest. The expected goals (xG) figures lean slightly towards Orleans at 1.32 against Concarneau's 1.12, hinting at a narrow margin. Yet, when xPoints are considered, Concarneau's 49.8 suggests an underestimation, as they outperform Orleans' 45.1. In essence, while Orleans might lead in raw points (51 vs 38), Concarneau's xPoints narrative suggests they've been more effective than the table implies.

    Concarneau's defensive solidity is reinforced by an identical xGA per match at 1.1, matching Orleans. This further nudges the fixture towards a low-scoring prediction, with the over 2.5 goals probability at a modest 44%. The most likely stalemate at 1-1, predicted at 13%, fits snugly within this framework, although a sneaky 0-1 to Orleans at 11% looms just behind.

    As for the betting angle, Bet365 offers Orleans to win at odds of 11/8, presenting a value opportunity given their edge in the win probability model. However, the safest punt in this contested affair could be backing the under 2.5 goals market, influenced by both teams' controlled pace and defensive metrics.

    Statistics

    Head-to-head

    4 matches
    Concarneau 2Draw 1Orléans 1
    Goals: 85 (⌀ 3,2)

    Head-to-head based on National 1 data since 2024.

    Key facts

    • Concarneau are unbeaten in their last 6 league matches.
    xG & xGA per match — 3-game rolling average

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

    Concarneau
    Orléans
    When goals are scored and conceded 2025
    Concarneau (3237)
    Orléans (4242)
    Pass networks

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

    Concarneau
    Guillaume Jannez: 219 passningar, xT 0.13JannezJimmy Halby Toure: 175 passningar, xT 0.37ToureThibault Sinquin: 142 passningar, xT 0.21SinquinDjessine Seba: 135 passningar, xT 0.3SebaLoic Goujon: 118 passningar, xT 0.65GoujonGarland Gbellé: 113 passningar, xT 0.27GbelléFlavio da Silva: 101 passningar, xT 0.62SilvaSacha Inquel: 81 passningar, xT 0.17InquelBaptiste Etcheverria: 80 passningar, xT 0.63EtcheverriaJordan Jessy Tell: 73 passningar, xT 0.32TellVincent Viot: 71 passningar, xT 0.03Viot
    Orléans
    Esteban Mouton: 235 passningar, xT 0.91MoutonJohann Serge Obiang: 201 passningar, xT 0.51ObiangMamadou Sylla: 192 passningar, xT 0.13SyllaMarius Le Maître: 166 passningar, xT 0.24MaîtreFei-Hong Faham: 141 passningar, xT 0.06FahamSteven Luyambula: 125 passningar, xT 0.95LuyambulaGregory Berthier: 116 passningar, xT 0.13BerthierGuillaume Khous: 106 passningar, xT 1KhousMamadou Diako: 103 passningar, xT 0.28DiakoKouroufia Kebe: 95 passningar, xT 0.59KebeJordan Morel: 84 passningar, xT 0Morel
    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.

    Concarneau
    Guillaume Jannez: 219 passningar, xT 0.13JannezJimmy Halby Toure: 175 passningar, xT 0.37ToureThibault Sinquin: 142 passningar, xT 0.21SinquinDjessine Seba: 135 passningar, xT 0.3SebaLoic Goujon: 118 passningar, xT 0.65GoujonGarland Gbellé: 113 passningar, xT 0.27GbelléFlavio da Silva: 101 passningar, xT 0.62SilvaSacha Inquel: 81 passningar, xT 0.17InquelBaptiste Etcheverria: 80 passningar, xT 0.63EtcheverriaJordan Jessy Tell: 73 passningar, xT 0.32TellVincent Viot: 71 passningar, xT 0.03Viot
    Orléans
    Esteban Mouton: 235 passningar, xT 0.91MoutonJohann Serge Obiang: 201 passningar, xT 0.51ObiangMamadou Sylla: 192 passningar, xT 0.13SyllaMarius Le Maître: 166 passningar, xT 0.24MaîtreFei-Hong Faham: 141 passningar, xT 0.06FahamSteven Luyambula: 125 passningar, xT 0.95LuyambulaGregory Berthier: 116 passningar, xT 0.13BerthierGuillaume Khous: 106 passningar, xT 1KhousMamadou Diako: 103 passningar, xT 0.28DiakoKouroufia Kebe: 95 passningar, xT 0.59KebeJordan Morel: 84 passningar, xT 0Morel

    The teams in numbers

    PerformanceConcarneauOrléans
    Points3851
    xPoints49.845.1
    xG per match1.11.4
    xGA per match1.11.1
    xG within 8s of winning the ball0.210.24
    xGA within 8s of losing the ball0.110.2
    Playing styleConcarneauOrléans
    Build-up efficiency0.320.32
    Field tilt0.450.57
    xT per match0.871.2
    xTA per match0.840.82
    Won balls, offensive half2527
    Pressing intensity0.210.21
    Pressing efficiency0.30.31
    Pressing efficiency, offensive half0.370.37
    Entries into the box per match913
    Entries into the box against1011
    Pass completion %0.730.76
    Pass completion % under pressure0.710.72
    Passes per match304385
    Passes against per match383325
    Switches of play per match2831.9
    Long balls per match3834
    Set piecesConcarneauOrléans
    xG from free kicks0.050.04
    Corners per match3.75.3
    Corners against per match4.53.7
    xG per corner0.040.04
    xGA per corner against0.060.05
    First touch, offensive corners %0.320.43
    First touch, defensive corners %0.590.6
    OtherConcarneauOrléans
    Throw-in control0.680.67
    The goalkeepersVincent Viot (Concarneau)Fei-Hong Faham (Orléans)
    Saves4638
    Save %67%72%
    xG prevented40%61%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Concarneau vs Orléans according to our model?

    The model gives Orléans a 37% win probability. Full 1X2 picture: Concarneau 33%, draw 31%, Orléans 37%.

    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 44% and under at 56%.

    Will both teams score?

    The probability of both teams scoring is 50% 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.