Ligue 1Stade Jean-Bouin, Paris21°16 km/h

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    Paris FCParis FCPossession control
    30
    NiceNicePossession & high press
    The model's lean: 1 · Paris FC (50%)

    Paris FCNice · Ligue 1

    1 · Paris FC 50%X 27%22% Nice · 2

    Analysis: Paris FCNice

    Marcus Johansson · · Analysis from the match model · How the predictions work

    Paris FC, with their possession-based control, will be eager to impose their rhythm against a Nice side that relies on possession and a high press. The home team's inclination to dictate the game's tempo is evident in their expected goals (xG) numbers: a solid 1.58 compared to Nice's 1.11. Paris FC's defensive stability, reflected in their lower expected goals against (xGA) of 0.59, could be the foundation upon which they build a victory. This defensive edge is particularly critical against Nice, whose xGA stands at a less convincing 1.4.

    The head-to-head record slightly favors Paris FC, although the sample is small with only two games since 2022. The hosts secured one win and a draw, which, while not overwhelming, are indicative of their potential to edge out Nice again. However, these past encounters carry less weight than the current form and expected goals metrics. The model gives Paris FC a 50% chance of winning, significantly higher than Nice's 22%, hinting that the home side could again find themselves in control come the final whistle.

    With expected goals per match tipping in Paris FC's favor and their superior defensive metrics, the most likely scorelines suggest a narrow margin: a 1-1 draw (12%) or a 1-0 win (10%) for Paris FC. While the probability for over 2.5 goals stands at an even 50%, the model also presents an intriguing value opportunity. Over 3.5 goals, priced at 3.76 with Betsafe, Betsson, and Nordicbet, holds a 6% edge, rated by the model at 28%. Given both teams to score is offered at 53%, there’s a decent chance for multiple goals if the game opens up.

    In this clash of playing styles, expect Paris FC's possession control to assert itself, potentially securing a 2-1 victory. While the over 2.5 goals market sits on the edge, those seeking value might consider the over 3.5 option, albeit with caution due to the defensive prowess of the hosts.

    Paris FCParis FC
    Form LWLWD
    League ranking xG #10xGA #3xT #15xP/match #4Points #9
    Key players
    • Ilan KebbalRWxG 0.26 · xT 0.23
    • Maxime LopezCMxG 0.07 · xT 0.18
    • Moses SimonLWxG 0.14 · xT 0.15
    NiceNice
    Form DDLDD
    League ranking xG #14xGA #11xT #6xP/match #11Points #6
    Key players
    • Jonathan ClaussRWBxG 0.05 · xT 0.24
    • Sepe Elye Delmas WahiFxG 0.30 · xT 0.06
    • Hicham BoudaouiCMxG 0.12 · xT 0.08
    Final score
    30
    The model called the outcome
    Predicted probabilities: Paris FC 50% · Draw 27% · Nice 22%

    How the bookmaker bet builders went

    The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.

    Matchresultat - Paris FCBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 7,59fair 7,99-5 %
    Miss
    Matchresultat - NiceBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 13,50fair 16,00-16 %
    Miss

    Match prediction: Paris FCNice

    Predicted score matrix

    Nice
    Paris FC
    0
    1
    2
    3
    4+
    0
    0–07.2%
    0–17.2%
    0–24.2%
    0–31.5%
    0–4+0.5%
    1
    1–010.4%
    1–112.3%
    1–26.6%
    1–32.4%
    1–4+0.9%
    2
    2–08.5%
    2–19.4%
    2–25.2%
    2–31.9%
    2–4+0.7%
    3
    3–04.5%
    3–14.9%
    3–22.7%
    3–31.0%
    3–4+0.4%
    4+
    4+–02.5%
    4+–12.8%
    4+–21.5%
    4+–30.6%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-010%
    3. 3.2-19%
    4. 4.2-08%
    5. 5.0-17%
    Expected goals
    1,581,11
    Both teams to score
    53%

    Over/under goals

    Expected goals: 2,7
    Under 2,550%
    @1.81
    Over 2,550%
    @2.07EV+1%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Paris FC to win50%
    • Under 3.5 goals72%

    Combined probability

    33%

    Fair odds

    3.05

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

    02 · 3 legs

    Balanced

    • Paris FC to win50%
    • Over 2.5 goals50%
    • Moses Daddy-Ajala Simon to score29%

    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 score53%
    • Over 2.5 goals50%
    • Moses Daddy-Ajala Simon to score29%
    • Kojo Peprah Oppong to be booked22%

    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 · Paris FC50% probability@2.08PinnacleEV+5%reference odds
    • Over 2.550% probability@2.07PinnacleEV+4%reference odds
    • 1 · Paris FC50% probability@2.05BetsafeEV+4%reference odds
    Bookmaker1 · Paris FCX2 · Nice
    Betsafe
    EV+ 4%
    2.05
    3.253.65
    Betsson
    EV+ 4%
    2.05
    3.253.65
    Nordicbet
    EV+ 4%
    2.05
    3.253.65
    Pinnacle
    EV+ 5%
    2.08
    3.403.80

    Odds updated 30 Aug, 05:17

    Odds movement

    Market signal

    The market has moved clearly towards under 2.5 goals since 24 August — the odds have shortened from 1.93 to 1.80 (−6%).

    1-3 %
    48 %43 %

    2.142.08

    X-2 %
    30 %25 %

    3.483.40

    2+10 %
    29 %24 %

    3.463.80

    Over 2,5+8 %
    51 %46 %

    1.932.07

    Pinnacle · 5 recorded price levels · 24/08/2026 → 30/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    2 matches
    Paris FC 1Draw 1Nice 0
    Goals: 21 (⌀ 1,5)

    Head-to-head based on Ligue 1 data since 2022.

    xG & xGA per match — 3-game rolling average

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

    Paris FC
    Nice
    Pass networks

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

    Paris FC
    Moustapha Mbow: 116 passningar, xT 0.01MbowOtávio Ataide da Silva: 87 passningar, xT 0.07SilvaDiego Coppola: 80 passningar, xT 0.07CoppolaPierre Lees-Melou: 63 passningar, xT 0.01Lees-MelouIlan Kebbal: 51 passningar, xT 0.03KebbalAdama Mohamed Camara: 49 passningar, xT 0.01CamaraKevin Trapp: 36 passningar, xT 0.02TrappMaxime Lopez: 29 passningar, xT -0.01LopezMoses Simon: 23 passningar, xT 0.28SimonPablo Pagis: 21 passningar, xT 0PagisLuca Koleosho: 17 passningar, xT 0.01Koleosho
    Nice
    Youssouf Ndayishimiye: 101 passningar, xT 0.04NdayishimiyeAntoine Mendy: 92 passningar, xT 0.12MendyXavier Junior Mandza Tsiendi: 77 passningar, xT 0.1TsiendiGauthier Hein: 71 passningar, xT -0.02HeinJonathan Clauss: 42 passningar, xT 0.23ClaussMelvin Bard: 37 passningar, xT -0.03BardDjibril Coulibaly: 30 passningar, xT -0.04CoulibalySofiane Daouda Diop: 28 passningar, xT 0.42DiopYehvann Diouf: 27 passningar, xT 0.01DioufEverton Pereira da Silva: 24 passningar, xT -0.03SilvaZoumana Diallo: 11 passningar, xT -0.07Diallo
    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.

    Paris FC
    Moustapha Mbow: 116 passningar, xT 0.01MbowOtávio Ataide da Silva: 87 passningar, xT 0.07SilvaDiego Coppola: 80 passningar, xT 0.07CoppolaPierre Lees-Melou: 63 passningar, xT 0.01Lees-MelouIlan Kebbal: 51 passningar, xT 0.03KebbalAdama Mohamed Camara: 49 passningar, xT 0.01CamaraKevin Trapp: 36 passningar, xT 0.02TrappMaxime Lopez: 29 passningar, xT -0.01LopezMoses Simon: 23 passningar, xT 0.28SimonPablo Pagis: 21 passningar, xT 0PagisLuca Koleosho: 17 passningar, xT 0.01Koleosho
    Nice
    Youssouf Ndayishimiye: 101 passningar, xT 0.04NdayishimiyeAntoine Mendy: 92 passningar, xT 0.12MendyXavier Junior Mandza Tsiendi: 77 passningar, xT 0.1TsiendiGauthier Hein: 71 passningar, xT -0.02HeinJonathan Clauss: 42 passningar, xT 0.23ClaussMelvin Bard: 37 passningar, xT -0.03BardDjibril Coulibaly: 30 passningar, xT -0.04CoulibalySofiane Daouda Diop: 28 passningar, xT 0.42DiopYehvann Diouf: 27 passningar, xT 0.01DioufEverton Pereira da Silva: 24 passningar, xT -0.03SilvaZoumana Diallo: 11 passningar, xT -0.07Diallo

    The teams in numbers

    PerformanceParis FCNice
    Points11
    xPoints1.91.1
    xG per match1.30.97
    xGA per match0.591.4
    xG within 8s of winning the ball00.17
    xGA within 8s of losing the ball0.130.23
    Playing styleParis FCNice
    Build-up efficiency0.30.28
    Field tilt0.360.72
    xT per match0.561.1
    xTA per match0.961.8
    Won balls, offensive half2331
    Pressing intensity0.250.2
    Pressing efficiency0.280.29
    Pressing efficiency, offensive half0.220.24
    Entries into the box per match315
    Entries into the box against1811
    Pass completion %0.870.83
    Pass completion % under pressure0.880.79
    Passes per match631571
    Passes against per match400359
    Switches of play per match18.649.1
    Long balls per match3045
    Set piecesParis FCNice
    xG from free kicks00
    Corners per match2.19.2
    Corners against per match6.23.1
    xG per corner00.02
    xGA per corner against0.020.06
    First touch, offensive corners %0.50.33
    First touch, defensive corners %0.50.33
    OtherParis FCNice
    Throw-in control0.640.83
    The goalkeepersKevin Trapp (Paris FC)Yehvann Diouf (Nice)
    Saves22
    Save %100%100%
    xG prevented100%100%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Paris FC vs Nice according to our model?

    The model gives Paris FC a 50% win probability. Full 1X2 picture: Paris FC 50%, draw 27%, Nice 22%.

    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 50% and under at 50%.

    Will both teams score?

    The probability of both teams scoring is 53% 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.