Ligue 1Stade Vélodrome, Marseille23°14 km/h

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    MarseilleMarseillePossession & high press
    vs
    Paris Saint-GermainParis Saint-GermainPossession & high press
    The model's lean: 2 · Paris Saint-Germain (51%)Best value by the model: 1 · Marseille @ 7.24 (+103 %)

    Marseille vs Paris Saint-Germain · Ligue 1

    1 · Marseille 28%X 21%51% Paris Saint-Germain · 2

    Analysis: MarseilleParis Saint-Germain

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

    The TEXT contains two factual issues: it invents betting odds/EV information not present in the FACTS, and it misrepresents the most likely scorelines by omitting 1-1 (9%), which is tied with 1-2 (9%) and more likely than 0-2 (7%).

    Corrected TEXT:

    Paris Saint-Germain's visit to Marseille arrives at a time when the hosts are struggling to find their footing. With Marseille on a three-match losing streak, the pressure is mounting. Their high-pressing, possession-based approach has been undermined by defensive frailties, as evidenced by their expected goals against (xGA) of 1.6 per match. This vulnerability in defense could be costly against a PSG side that has consistently found the net in 24 consecutive league matches.

    The numbers suggest a clear advantage for the visitors. Paris Saint-Germain not only holds a superior xPoints tally (5.3 versus Marseille's 4.4) but also boasts a meaner defensive record, conceding an average of just 0.89 xGA per match. The head-to-head record since 2022 is a small sample of four matches, but it tilts heavily in favor of PSG with three victories, further indicating their recent dominance over Marseille.

    Both teams' preference for possession and high pressing sets up a potentially fast-paced encounter. While Marseille traditionally performs well at home with a 58% win rate, their current form and the visitors' firepower suggest a different outcome this time. The model suggests a 67% probability for over 2.5 goals, and the most likely scorelines — 1-2 and 1-1 (both 9%), followed by 0-2 (7%) — reinforce the expectation of a tight, high-scoring contest with an edge for PSG.

    Given these dynamics, a Paris Saint-Germain win seems probable, with a 1-2 scoreline emerging as the most likely outcome. While nothing is certain, the numbers strongly back the visitors to capitalize on Marseille's defensive inconsistencies and extend their scoring streak.

    MarseilleMarseille
    Form WWLLL
    League ranking xG #8xGA #12xT #4xP/match #16Points #12
    Key players
    • Amine Ferid GouiriFxG 0.57 · xT 0.15
    • Emerson Palmieri dos SantosLWBxG 0.04 · xT 0.25
    • Pierre Emile HojbjergCDMxG 0.14 · xT 0.20
    Paris Saint-GermainParis Saint-Germain
    Form LDDLW
    League ranking xG #6xGA #2xT #1xP/match #9Points #8
    Key players
    • Achraf HakimiRWBxG 0.09 · xT 0.17
    • Marcos Aoás CorrêaCBxG 0.13 · xT 0.16
    • Ousmane DembeleFxG 0.44 · xT 0.35

    Match prediction: MarseilleParis Saint-Germain

    Predicted score matrix

    Paris Saint-Germain
    Marseille
    0
    1
    2
    3
    4+
    0
    0–03.4%
    0–16.3%
    0–26.9%
    0–34.8%
    0–4+4.2%
    1
    1–04.0%
    1–19.2%
    1–29.4%
    1–36.6%
    1–4+5.7%
    2
    2–02.9%
    2–16.1%
    2–26.4%
    2–34.5%
    2–4+3.9%
    3
    3–01.3%
    3–12.8%
    3–22.9%
    3–32.1%
    3–4+1.8%
    4+
    4+–00.6%
    4+–11.3%
    4+–21.4%
    4+–31.0%
    4+–4+0.8%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-29%
    2. 2.1-19%
    3. 3.0-27%
    4. 4.1-37%
    5. 5.2-26%
    Expected goals
    1,372,11
    Both teams to score
    66%

    Over/under goals

    Expected goals: 3,5
    Under 2,533%
    Over 2,567%

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Paris Saint-Germain to win51%
    • Over 1.5 goals86%

    Combined probability

    48%

    Fair odds

    2.10

    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 win51%
    • Over 2.5 goals67%
    • Gonçalo Matias Ramos to score23%

    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 score66%
    • Over 2.5 goals67%
    • Amine Ferid Gouiri to score45%
    • Vítor Machado Ferreira to be booked23%

    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 · Marseille28% probability@7.24PinnacleEV+103%reference odds
    • X · Draw21% probability@5.33PinnacleEV+11%reference odds
    • Under 3.554% probability@1.90PinnacleEV+3%reference odds
    Bookmaker1 · MarseilleX2 · Paris Saint-Germain
    Pinnacle
    EV+ 103%
    7.24
    EV+ 11%
    5.33
    1.40

    Odds updated 18 Sept, 12:20

    Odds movement

    Market signal

    The market has moved clearly towards an Paris Saint-Germain win since 12 September — the odds have shortened from 1.48 to 1.40 (−6%).

    1+30 %
    20 %10 %

    5.597.24

    X+10 %
    24 %14 %

    4.845.33

    2-6 %
    72 %62 %

    1.481.40

    Pinnacle · 11 recorded price levels · 12/09/2026 → 18/09/2026 · fixed scale 10 percentage points

    Statistics

    Head-to-head

    4 matches
    Marseille 1Draw 0Paris Saint-Germain 3
    Goals: 211 (⌀ 3,2)

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

    Key facts

    • Marseille have lost 3 in a row.
    • Paris Saint-Germain have scored in 24 consecutive league matches.
    • Marseille win 58% of their home matches all-time (36 played).
    xG & xGA per match — 3-game rolling average

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

    Marseille
    Paris Saint-Germain
    When goals are scored and conceded 2026
    Marseille (66)
    Paris Saint-Germain (66)
    Pass networks

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

    Marseille
    Pierre Emile Hojbjerg: 300 passningar, xT 0.73HojbjergCj Egan Riley: 255 passningar, xT 0.17RileyEmerson Palmieri dos Santos: 244 passningar, xT 0.83SantosTimothy Weah: 226 passningar, xT 0.61WeahNayef Aguerd: 204 passningar, xT 0.21AguerdHimad Said Abdelli: 162 passningar, xT 0.13AbdelliAngel Gomes: 149 passningar, xT 0.11GomesAmine Harit: 125 passningar, xT 0.43HaritJeffrey de Lange: 123 passningar, xT 0.02LangeGeoffrey Edwin Kondogbia: 117 passningar, xT 0.09KondogbiaIgor Paixao: 93 passningar, xT -0.01Paixao
    Paris Saint-Germain
    Vítor Machado Ferreira: 354 passningar, xT 1FerreiraMarcos Aoás Corrêa: 310 passningar, xT 0.65CorrêaAchraf Hakimi: 259 passningar, xT 0.37HakimiWillian Pacho: 252 passningar, xT 0.05PachoWarren Zaïre-Emery: 235 passningar, xT 0.13Zaïre-EmeryFabian Ruiz: 172 passningar, xT 0.4RuizJoao Neves: 169 passningar, xT -0.15NevesMaghnes Akliouche: 125 passningar, xT 0.47AklioucheDesire Doue: 123 passningar, xT 0.29DoueKhvicha Kvaratskhelia: 109 passningar, xT 0.38KvaratskheliaLucas Hernandez: 107 passningar, xT 0.19Hernandez
    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.

    Marseille
    Pierre Emile Hojbjerg: 300 passningar, xT 0.73HojbjergCj Egan Riley: 255 passningar, xT 0.17RileyEmerson Palmieri dos Santos: 244 passningar, xT 0.83SantosTimothy Weah: 226 passningar, xT 0.61WeahNayef Aguerd: 204 passningar, xT 0.21AguerdHimad Said Abdelli: 162 passningar, xT 0.13AbdelliAngel Gomes: 149 passningar, xT 0.11GomesAmine Harit: 125 passningar, xT 0.43HaritJeffrey de Lange: 123 passningar, xT 0.02LangeGeoffrey Edwin Kondogbia: 117 passningar, xT 0.09KondogbiaIgor Paixao: 93 passningar, xT -0.01Paixao
    Paris Saint-Germain
    Vítor Machado Ferreira: 354 passningar, xT 1FerreiraMarcos Aoás Corrêa: 310 passningar, xT 0.65CorrêaAchraf Hakimi: 259 passningar, xT 0.37HakimiWillian Pacho: 252 passningar, xT 0.05PachoWarren Zaïre-Emery: 235 passningar, xT 0.13Zaïre-EmeryFabian Ruiz: 172 passningar, xT 0.4RuizJoao Neves: 169 passningar, xT -0.15NevesMaghnes Akliouche: 125 passningar, xT 0.47AklioucheDesire Doue: 123 passningar, xT 0.29DoueKhvicha Kvaratskhelia: 109 passningar, xT 0.38KvaratskheliaLucas Hernandez: 107 passningar, xT 0.19Hernandez

    The teams in numbers

    PerformanceMarseilleParis Saint-Germain
    Points35
    xPoints4.45.3
    xG per match1.41.6
    xGA per match1.60.89
    xG within 8s of winning the ball0.220.25
    xGA within 8s of losing the ball0.350.32
    Playing styleMarseilleParis Saint-Germain
    Build-up efficiency0.30.35
    Field tilt0.690.82
    xT per match1.21.5
    xTA per match1.10.79
    Won balls, offensive half2731
    Pressing intensity0.230.21
    Pressing efficiency0.280.31
    Pressing efficiency, offensive half0.290.24
    Entries into the box per match1519
    Entries into the box against128
    Pass completion %0.850.86
    Pass completion % under pressure0.770.8
    Passes per match571678
    Passes against per match344300
    Switches of play per match30.463.1
    Long balls per match2862
    Set piecesMarseilleParis Saint-Germain
    xG from free kicks0.020.08
    Corners per match5.15.8
    Corners against per match40.76
    xG per corner0.010.03
    xGA per corner against0.010.04
    First touch, offensive corners %0.350.57
    First touch, defensive corners %0.750.67
    OtherMarseilleParis Saint-Germain
    Throw-in control0.80.77
    The goalkeepersJeffrey de Lange (Marseille)Matvey Safonov (Paris Saint-Germain)
    Saves158
    Save %71%57%
    xG prevented43%45%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

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

    The model gives Paris Saint-Germain a 51% win probability. Full 1X2 picture: Marseille 28%, draw 21%, Paris Saint-Germain 51%.

    What is the most likely scoreline?

    The model's most likely final score is 1-2 at 9% 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 66% 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.