Ligue 1Stade Jean-Bouin, Paris8°11 km/h

    Läs på svenska
    Paris FCParis FCBalanced & physical
    vs
    MonacoMonacoPossession & high press
    The model's lean: 1 · Paris FC (43%)

    Paris FC vs Monaco · Ligue 1

    1 · Paris FC 43%X 26%31% Monaco · 2

    Prediction summary

    BetBuilders AI model prediction for Paris FC vs Monaco (Ligue 1, Sunday, 1 November 2026): Paris FC win 43%, draw 26%, Monaco win 31%. Expected goals (xG): Paris FC 1.53, Monaco 1.34. Most likely score: 1-1 (12%). Over 2.5 goals 55%, both teams to score 58%. Double chance: Paris FC or draw 69%, Monaco or draw 57%. Prediction updated Friday, 23 October 2026.

    Bet on this match

    NordicbetVälkommen in i matchen! Skapa ett konto, gör en insättning och hämta ett gratisspel värt 100 kr plus 50 freespins på Pirots 4.Claim the bonus at Nordicbet
    BetsafeHämta ett 100 kr gratisspel + 50 freespins på Pirots 4 när du gör din första insättning hos Betsafe!Claim the bonus at Betsafe
    LeoVegas100 % upp till 600 kr på sport vid första insättningenClaim the bonus at LeoVegas

    18+ · Gamble responsibly · stodlinjen.se · Affiliate links

    Analysis: Paris FC – Monaco

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

    Paris FC have won both meetings with Monaco since 2022: 2W, 0D, 0L. That is a clean historical edge, but the sample is small and weighs less than current form and expected-goals data. It says the hosts have found a way through this opponent before. It does not outweigh the broader performance picture.

    Monaco hold the narrow points edge, 15 to 14, yet the underlying numbers turn the table reading on its head. Paris carry 13.4 xPoints against the visitors’ 10.5, generate 1.6 xG per match to 1.3, and concede only 0.97 xGA per match versus 1.3. That is the colder read: the hosts have performed like the better side even if the points column is one point behind.

    The matchup suits that conclusion. Paris are balanced and physical, while Monaco want possession and press high. The visitors can create pressure, but their defensive numbers leave space for a direct, disciplined home side to exploit. The model gives the hosts a 43% win probability, ahead of Monaco’s 31%, with the draw at 26%. The most likely scoreline is 1-1 at 12%, but the next live home result is 2-1 at 9%, followed by 1-0 at 8%. The analysis points to Paris as the side to trust, with 2-1 the sharper match result call despite 1-1 being the single most frequent scoreline.

    Goals lean over 2.5 at 55%, and both teams to score sits at 58%. Those figures fit a game where Monaco’s press produces chances but does not shut down Paris. The 1.53 to 1.34 expected-goals split is not explosive, yet it clears the line often enough to make Over 2.5 the preferred total angle. Paris FC draw-no-bet is the safer side position; Over 2.5 goals is the sharper one.

    Paris FCParis FC
    Form DWLWL
    League ranking xG #5xGA #1xT #9xP/match #3Points #6
    Key players
    • Adama Mohamed CamaraRWBxG 0.04 · xT 0.10
    • Maxime LopezCMxG 0.13 · xT 0.18
    • Diego CoppolaCBxG 0.00 · xT 0.04
    MonacoMonaco
    Form DWDLD
    League ranking xG #12xGA #7xT #11xP/match #12Points #3
    Key players
    • Vanderson de Oliveira CamposRWBxG 0.08 · xT 0.25
    • Lamine CamaraCMxG 0.05 · xT 0.04
    • Eric DierCBxG 0.06 · xT 0.05

    Match prediction: Paris FC – Monaco

    Predicted score matrix

    Monaco →
    Paris FC →
    0
    1
    2
    3
    4+
    0
    0–06.0%
    0–17.3%
    0–25.1%
    0–32.3%
    0–4+1.0%
    1
    1–08.3%
    1–112.0%
    1–27.8%
    1–33.5%
    1–4+1.6%
    2
    2–06.6%
    2–18.9%
    2–26.0%
    2–32.7%
    2–4+1.2%
    3
    3–03.4%
    3–14.5%
    3–23.0%
    3–31.4%
    3–4+0.6%
    4+
    4+–01.8%
    4+–12.4%
    4+–21.6%
    4+–30.7%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.2-19%
    3. 3.1-08%
    4. 4.1-28%
    5. 5.0-17%
    Expected goals
    1,53–1,34
    Both teams to score
    58%

    Over/under goals

    Expected goals: 2,9
    Under 2,545%
    @2.13
    Over 2,555%
    @1.74

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Paris FC or draw (1X)67%
    • Over 1.5 goals78%

    Combined probability

    53%

    Fair odds

    1.90

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

    02 · 3 legs

    Balanced

    • Double chance Paris FC or draw (1X)67%
    • Over 2.5 goals55%
    • Lassine Fanta Mady Sinayoko to score31%

    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 score58%
    • Over 2.5 goals55%
    • Paris Josua Brunner to score33%
    • Denis Lemi Zakaria Lako Lado 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 FC43% probability@2.32PinnacleEV+0%reference odds
    Bookmaker1 · Paris FCX2 · Monaco
    Betsafe2.223.603.00
    LeoVegas2.253.602.95
    Nordicbet2.223.603.00
    Pinnacle
    EV+ 0%
    2.32
    3.592.91

    Odds updated 26 Oct, 01:36

    Odds movement

    10 %
    44 %39 %

    2.31 → 2.32

    X0 %
    29 %24 %

    3.59 → 3.59

    20 %
    35 %30 %

    2.92 → 2.91

    Over 2,50 %
    57 %52 %

    1.73 → 1.74

    Pinnacle · 2 recorded price levels · 23/10/2026 → 23/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    2 matches
    Paris FC 2Draw 0Monaco 0
    Goals: 5–1 (⌀ 3)

    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
    Monaco
    When goals are scored and conceded — 2026
    Paris FC (13–9)
    Monaco (11–7)
    Pass networks

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

    Paris FC
    Maxime Lopez: 410 passningar, xT 0.73LopezDiego Coppola: 392 passningar, xT 0.19CoppolaPierre Lees-Melou: 245 passningar, xT 0.25Lees-MelouHamari Traoré: 227 passningar, xT 0.43TraoréAdama Mohamed Camara: 199 passningar, xT 0.54CamaraIlan Kebbal: 179 passningar, xT 0.69KebbalSamir Chergui: 135 passningar, xT 0.14CherguiKevin Trapp: 123 passningar, xT 0.01TrappPablo Pagis: 119 passningar, xT 0.15PagisLuca Koleosho: 107 passningar, xT 0.21KoleoshoMoustapha Mbow: 98 passningar, xT 0.11Mbow
    Monaco
    Sadibou Sané: 410 passningar, xT 0.72SanéLamine Camara: 343 passningar, xT 0.21CamaraFlávio Basilua Jacinto Nazinho: 329 passningar, xT 0.99NazinhoEric Dier: 286 passningar, xT 0.16DierVanderson de Oliveira Campos: 277 passningar, xT 1.53CamposDenis Zakaria: 193 passningar, xT -0.02ZakariaAleksandr Golovin: 163 passningar, xT 0.31GolovinLukas Hradecky: 125 passningar, xT 0.01HradeckyJordan Teze: 109 passningar, xT 0.18TezeMohammed Salisu: 79 passningar, xT 0.12SalisuMathys Detourbet: 76 passningar, xT 0.19Detourbet
    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
    Maxime Lopez: 410 passningar, xT 0.73LopezDiego Coppola: 392 passningar, xT 0.19CoppolaPierre Lees-Melou: 245 passningar, xT 0.25Lees-MelouHamari Traoré: 227 passningar, xT 0.43TraoréAdama Mohamed Camara: 199 passningar, xT 0.54CamaraIlan Kebbal: 179 passningar, xT 0.69KebbalSamir Chergui: 135 passningar, xT 0.14CherguiKevin Trapp: 123 passningar, xT 0.01TrappPablo Pagis: 119 passningar, xT 0.15PagisLuca Koleosho: 107 passningar, xT 0.21KoleoshoMoustapha Mbow: 98 passningar, xT 0.11Mbow
    Monaco
    Sadibou Sané: 410 passningar, xT 0.72SanéLamine Camara: 343 passningar, xT 0.21CamaraFlávio Basilua Jacinto Nazinho: 329 passningar, xT 0.99NazinhoEric Dier: 286 passningar, xT 0.16DierVanderson de Oliveira Campos: 277 passningar, xT 1.53CamposDenis Zakaria: 193 passningar, xT -0.02ZakariaAleksandr Golovin: 163 passningar, xT 0.31GolovinLukas Hradecky: 125 passningar, xT 0.01HradeckyJordan Teze: 109 passningar, xT 0.18TezeMohammed Salisu: 79 passningar, xT 0.12SalisuMathys Detourbet: 76 passningar, xT 0.19Detourbet

    The teams in numbers

    PerformanceParis FCMonaco
    Points1415
    xPoints13.410.5
    xG per match1.61.3
    xGA per match0.971.3
    xG within 8s of winning the ball0.460.21
    xGA within 8s of losing the ball0.110.19
    Playing styleParis FCMonaco
    Build-up efficiency0.30.29
    Field tilt0.450.51
    xT per match10.97
    xTA per match0.740.79
    Won balls, offensive half2330
    Pressing intensity0.230.25
    Pressing efficiency0.250.26
    Pressing efficiency, offensive half0.190.23
    Entries into the box per match1112
    Entries into the box against1312
    Pass completion %0.840.82
    Pass completion % under pressure0.790.77
    Passes per match499458
    Passes against per match467438
    Switches of play per match18.528.8
    Long balls per match2333
    Set piecesParis FCMonaco
    xG from free kicks0.010.04
    Corners per match3.54
    Corners against per match3.94.8
    xG per corner0.020.03
    xGA per corner against0.020.02
    First touch, offensive corners %0.290.31
    First touch, defensive corners %0.520.76
    OtherParis FCMonaco
    Throw-in control0.640.76
    The goalkeepersKevin Trapp (Paris FC)Lukas Hradecky (Monaco)
    Saves1724
    Save %74%83%
    xG prevented31%48%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Paris FC vs Monaco according to our model?

    The model gives Paris FC a 43% win probability. Full 1X2 picture: Paris FC 43%, draw 26%, Monaco 31%.

    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 55% and under at 45%.

    Will both teams score?

    The probability of both teams scoring is 58% according to the model.

    How many goals are expected in Paris FC vs Monaco?

    The model expects 1.53 goals (xG) for Paris FC and 1.34 for Monaco, 2.87 in total.

    What does the model say about double chance?

    Paris FC or draw (1X) 69%, Monaco or draw (X2) 57% and no draw (12) 74%.

    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.

    More matches in the league

    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.