Ligue 1Parc des Princes, Paris23°21 km/h

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    Paris Saint-GermainParis Saint-GermainPossession & high press
    vs
    MonacoMonacoCounter-attacks & crosses
    The model's lean: 1 · Paris Saint-Germain (62%)Best value by the model: 2 · Monaco @ 6.96 (+20 %)

    Paris Saint-Germain – Monaco · Ligue 1

    1 · Paris Saint-Germain 62%X 20%17% Monaco · 2

    Analysis: Paris Saint-Germain – Monaco

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

    The odds figure ("1.61 with Bet365") is not supported by any fact provided and should be removed as an unsupported claim.

    CORRECTED TEXT:

    The head-to-head record between Paris Saint-Germain and Monaco since 2022 shows a balanced contest with each side winning twice in their four encounters. However, this small sample should be taken lightly compared to current form and expected goals. The hosts, Paris Saint-Germain, hold the edge with a likelihood of 62% to secure a victory, according to the model. Their consistency in front of goal is undeniable, having scored in 22 consecutive league matches.

    Paris Saint-Germain's tactical approach of maintaining possession and employing a high press contrasts sharply with Monaco's reliance on counter-attacks and crosses. Despite their different playing styles, both teams have respectable xG figures, with Monaco slightly edging out PSG on a per-match basis, 1.5 to 1.4. Yet, the Parisians boast an impressive record of winning 77% of their home matches, which bolsters their chances considerably in this clash.

    The expected goals for this encounter, 2.38 for PSG and 1.06 for Monaco, suggest a match leaning towards the hosts with potential for goals. The model's probabilities align with this, highlighting a greater than two-thirds chance for over 2.5 goals, while both teams to score sits at a healthy 60%. The most likely scorelines further reinforce Paris Saint-Germain's expected superiority, with predictions of 2-1 and 2-0 featuring prominently.

    From a betting perspective, backing Paris Saint-Germain to win appears to offer some value, given their dominant home form and scoring streak. While Monaco has shown resilience, the hosts' tactical discipline and proficiency in capitalizing quickly after regaining possession could prove decisive, pointing towards a 2-1 victory for the Parisians in a match that leans towards over 2.5 goals.

    Paris Saint-GermainParis Saint-Germain
    Form WWLDD
    League ranking xG #10xGA #5xT #1xP/match #15Points #13
    Key players
    • Achraf HakimiRBxG 0.02 · xT 0.23
    • Warren Zaïre-EmeryCMxG 0.34 · xT 0.06
    • Marcos Aoás CorrêaCBxG 0.05 · xT 0.19
    MonacoMonaco
    Form WLLWW
    League ranking xG #8xGA #4xT #14xP/match #4Points #1
    Key players
    • Paris BrunnerFxG 1.03 · xT -0.05
    • Lamine CamaraCDMxG 0.02 · xT 0.01
    • Vanderson de Oliveira CamposRWBxG 0.01 · xT 0.14

    Match prediction: Paris Saint-Germain – Monaco

    Predicted score matrix

    Monaco →
    Paris Saint-Germain →
    0
    1
    2
    3
    4+
    0
    0–03.4%
    0–13.2%
    0–21.8%
    0–30.6%
    0–4+0.2%
    1
    1–07.4%
    1–18.3%
    1–24.3%
    1–31.5%
    1–4+0.5%
    2
    2–09.1%
    2–19.6%
    2–25.1%
    2–31.8%
    2–4+0.6%
    3
    3–07.2%
    3–17.6%
    3–24.0%
    3–31.4%
    3–4+0.5%
    4+
    4+–07.5%
    4+–18.0%
    4+–24.2%
    4+–31.5%
    4+–4+0.5%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-110%
    2. 2.2-09%
    3. 3.1-18%
    4. 4.3-18%
    5. 5.1-07%
    Expected goals
    2,38–1,06
    Both teams to score
    60%

    Over/under goals

    Expected goals: 3,4
    Under 2,533%
    –
    Over 2,567%
    –

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    01 · 2 legs

    Safe

    • Paris Saint-Germain to win62%
    • Over 1.5 goals86%

    Combined probability

    59%

    Fair odds

    1.70

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

    02 · 3 legs

    Balanced

    • Paris Saint-Germain to win62%
    • Over 2.5 goals67%
    • Gonçalo Matias Ramos to score32%

    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 score60%
    • Over 2.5 goals67%
    • Gonçalo Matias Ramos to score32%
    • Aladji Bamba 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+).

    • 2 · Monaco17% probability@6.96PinnacleEV+20%reference odds
    • X · Draw20% probability@5.29PinnacleEV+8%reference odds
    Bookmaker1 · Paris Saint-GermainX2 · Monaco
    Pinnacle1.41
    EV+ 8%
    5.29
    EV+ 20%
    6.96

    Odds updated 2 Sept, 14:31

    Odds movement

    1+4 %
    70 %65 %

    1.36 → 1.41

    X-3 %
    20 %15 %

    5.47 → 5.29

    2-1 %
    17 %12 %

    7.06 → 6.96

    Pinnacle · 8 recorded price levels · 30/08/2026 → 02/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Paris Saint-Germain 2Draw 0Monaco 2
    Goals: 9–7 (⌀ 4)

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

    Key facts

    • Paris Saint-Germain have scored in 22 consecutive league matches.
    • Paris Saint-Germain win 77% of their home matches all-time (35 played).
    xG & xGA per match — 3-game rolling average

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

    Paris Saint-Germain
    Monaco
    When goals are scored and conceded — 2026
    Paris Saint-Germain (4–4)
    Monaco (3–0)
    Pass networks

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

    Paris Saint-Germain
    Vítor Machado Ferreira: 188 passningar, xT 0.67FerreiraAchraf Hakimi: 171 passningar, xT 0.36HakimiMarcos Aoás Corrêa: 151 passningar, xT 0.37CorrêaWillian Pacho: 133 passningar, xT 0.06PachoWarren Zaïre-Emery: 132 passningar, xT 0.07Zaïre-EmeryDesire Doue: 78 passningar, xT 0.23DoueLucas Hernandez: 78 passningar, xT 0.18HernandezMaghnes Akliouche: 77 passningar, xT 0.44AklioucheFabian Ruiz: 73 passningar, xT 0.24RuizMika Marcel Godts: 64 passningar, xT 0.21GodtsJoao Neves: 56 passningar, xT -0.02Neves
    Monaco
    Lamine Camara: 114 passningar, xT 0.02CamaraVanderson de Oliveira Campos: 82 passningar, xT 0.23CamposSadibou Sané: 76 passningar, xT 0.15SanéFlávio Basilua Jacinto Nazinho: 68 passningar, xT 0.16NazinhoEric Dier: 67 passningar, xT 0.08DierMamadou Coulibaly: 57 passningar, xT 0.14CoulibalyDenis Zakaria: 55 passningar, xT 0.02ZakariaAleksandr Golovin: 38 passningar, xT 0.41GolovinLukas Hradecky: 38 passningar, xT 0.03HradeckyStanis Idumbo: 34 passningar, xT 0.17IdumboParis Brunner: 14 passningar, xT -0.02Brunner
    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 Saint-Germain
    Vítor Machado Ferreira: 188 passningar, xT 0.67FerreiraAchraf Hakimi: 171 passningar, xT 0.36HakimiMarcos Aoás Corrêa: 151 passningar, xT 0.37CorrêaWillian Pacho: 133 passningar, xT 0.06PachoWarren Zaïre-Emery: 132 passningar, xT 0.07Zaïre-EmeryDesire Doue: 78 passningar, xT 0.23DoueLucas Hernandez: 78 passningar, xT 0.18HernandezMaghnes Akliouche: 77 passningar, xT 0.44AklioucheFabian Ruiz: 73 passningar, xT 0.24RuizMika Marcel Godts: 64 passningar, xT 0.21GodtsJoao Neves: 56 passningar, xT -0.02Neves
    Monaco
    Lamine Camara: 114 passningar, xT 0.02CamaraVanderson de Oliveira Campos: 82 passningar, xT 0.23CamposSadibou Sané: 76 passningar, xT 0.15SanéFlávio Basilua Jacinto Nazinho: 68 passningar, xT 0.16NazinhoEric Dier: 67 passningar, xT 0.08DierMamadou Coulibaly: 57 passningar, xT 0.14CoulibalyDenis Zakaria: 55 passningar, xT 0.02ZakariaAleksandr Golovin: 38 passningar, xT 0.41GolovinLukas Hradecky: 38 passningar, xT 0.03HradeckyStanis Idumbo: 34 passningar, xT 0.17IdumboParis Brunner: 14 passningar, xT -0.02Brunner

    The teams in numbers

    PerformanceParis Saint-GermainMonaco
    Points26
    xPoints1.73.6
    xG per match1.41.5
    xGA per match1.11.1
    xG within 8s of winning the ball0.220.16
    xGA within 8s of losing the ball0.390.26
    Playing styleParis Saint-GermainMonaco
    Build-up efficiency0.340.3
    Field tilt0.860.37
    xT per match1.80.85
    xTA per match0.811.1
    Won balls, offensive half3330
    Pressing intensity0.20.22
    Pressing efficiency0.30.28
    Pressing efficiency, offensive half0.260.24
    Entries into the box per match1614
    Entries into the box against713
    Pass completion %0.860.77
    Pass completion % under pressure0.790.71
    Passes per match724332
    Passes against per match267465
    Switches of play per match69.625.8
    Long balls per match6831
    Set piecesParis Saint-GermainMonaco
    xG from free kicks0.040.15
    Corners per match7.74.5
    Corners against per match07.1
    xG per corner0.010.01
    xGA per corner against00.01
    First touch, offensive corners %0.470.33
    First touch, defensive corners %01
    OtherParis Saint-GermainMonaco
    Throw-in control0.760.61
    The goalkeepersWillian Pacho (Paris Saint-Germain)Lukas Hradecky (Monaco)
    Saves25
    Save %100%100%
    xG prevented100%100%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Paris Saint-Germain vs Monaco according to our model?

    The model gives Paris Saint-Germain a 62% win probability. Full 1X2 picture: Paris Saint-Germain 62%, draw 20%, Monaco 17%.

    What is the most likely scoreline?

    The model's most likely final score is 2-1 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 67% and under at 33%.

    Will both teams score?

    The probability of both teams scoring is 60% 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.