Ligue 1Stade Louis II, Monaco26°9 km/h

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    MonacoMonacoCounter-attacks & crosses
    20
    MarseilleMarseillePossession & high press
    The model's lean: 1 · Monaco (41%)Best value by the model: Under 2,5 @ 2.41 (+9 %)

    MonacoMarseille · Ligue 1

    1 · Monaco 41%X 24%35% Marseille · 2

    Analysis: MonacoMarseille

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

    TEXT: Monaco and Marseille have split their last four encounters evenly, with two wins apiece. This head-to-head sample is limited, making it less impactful than their current form and expected goals data. Monaco boasts a dominant 65% win rate in home matches all-time, but the model leans slightly towards them with a 41% chance of victory. The most probable scorelines suggest a close contest, with 1-1 and 2-1 as the top scenarios, pointing to a balanced matchup.

    Marseille arrives with momentum, having notched three consecutive victories. They possess an edge in xPoints (2.5 to Monaco's 1.7) and outpace Monaco in xG per match (2.0 vs. 1.6) and xGA per match (0.21 vs. 0.72), reflecting a more robust all-around performance recently. This suggests the visitors have the potential to disrupt Monaco's home advantage, especially with their high pressing play style that could unsettle the hosts' counter-attacking approach.

    The expected goals tally stands at Monaco 1.51 and Marseille 1.36, hinting at a tight affair with a slight inclination towards more than two goals overall. However, the over 2.5 goals probability is a mere 55%, and both teams to score stands at 58%, indicating that while goals are likely, a high-scoring game isn't guaranteed.

    The sharpest betting angle emerges with the under 2.5 goals market, where significant value exists. Betsafe, Betsson, and Nordicbet offer odds of 2.41 for under 2.5 goals, creating a 9% edge as the model rates this outcome at 45%. For those looking to capitalize on a strategic wager, this presents an intriguing opportunity to consider the possibility of a more controlled, lower-scoring match.

    MonacoMonaco
    Form DWLLW
    League ranking xG #6xGA #4xT #12xP/match #6Points #5
    Key players
    • Lamine CamaraCDMxG 0.04 · xT -0.03
    • Vanderson de Oliveira CamposRWBxG 0.02 · xT 0.27
    • Aleksandr GolovinCAMxG 0.28 · xT 0.08
    MarseilleMarseille
    Form DLWWW
    League ranking xG #4xGA #1xT #7xP/match #1Points #1
    Key players
    • Mason GreenwoodRWxG 0.48 · xT 0.18
    • Amine Ferid GouiriFxG 0.30 · xT 0.08
    • Pierre Emerick AubameyangFxG 0.37 · xT 0.09
    Final score
    20
    The model called the outcome
    Predicted probabilities: Monaco 41% · Draw 24% · Marseille 35%

    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 - MonacoBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 6,03fair 8,25-27 %
    Miss
    Matchresultat - MarseilleBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 6,57fair 10,13-35 %
    Miss

    Match prediction: MonacoMarseille

    Predicted score matrix

    Marseille
    Monaco
    0
    1
    2
    3
    4+
    0
    0–06.0%
    0–17.3%
    0–25.2%
    0–32.4%
    0–4+1.1%
    1
    1–08.2%
    1–112.0%
    1–27.9%
    1–33.6%
    1–4+1.7%
    2
    2–06.4%
    2–18.8%
    2–26.0%
    2–32.7%
    2–4+1.3%
    3
    3–03.2%
    3–14.4%
    3–23.0%
    3–31.4%
    3–4+0.6%
    4+
    4+–01.7%
    4+–12.3%
    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
    1,511,36
    Both teams to score
    58%

    Over/under goals

    Expected goals: 2,9
    Under 2,545%
    @2.41EV+9%
    Over 2,555%
    @1.58

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Monaco or draw (1X)66%
    • Over 1.5 goals79%

    Combined probability

    52%

    Fair odds

    1.92

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

    02 · 3 legs

    Balanced

    • Double chance Monaco or draw (1X)66%
    • Over 2.5 goals55%
    • Maghnes Akliouche to score25%

    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%
    • Adilson Angel Abreu de Almeida Gomes to score28%
    • Geoffrey Edwin Kondogbia 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+).

    • Under 2.545% probability@2.41BetsafeEV+9%reference odds
    • Under 2.545% probability@2.41BetssonEV+9%reference odds
    • Under 2.545% probability@2.41NordicbetEV+9%reference odds
    Bookmaker1 · MonacoX2 · Marseille
    Betsafe
    EV+ 1%
    2.45
    3.452.70
    Betsson
    EV+ 1%
    2.45
    3.452.70
    Nordicbet
    EV+ 1%
    2.45
    3.452.70
    Pinnacle
    EV+ 2%
    2.47
    3.622.81

    Odds updated 30 Aug, 05:17

    Odds movement

    1-6 %
    41 %36 %

    2.622.47

    X-2 %
    29 %24 %

    3.713.62

    2+10 %
    38 %33 %

    2.552.81

    Pinnacle · 14 recorded price levels · 24/08/2026 → 30/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Monaco 2Draw 0Marseille 2
    Goals: 64 (⌀ 2,5)

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

    Key facts

    • Marseille come into this round on 3 straight wins.
    • Monaco win 65% of their home matches all-time (34 played).
    xG & xGA per match — 3-game rolling average

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

    Monaco
    Marseille
    When goals are scored and conceded 2026
    Monaco (10)
    Marseille (40)
    Pass networks

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

    Monaco
    Lamine Camara: 66 passningar, xT -0.03CamaraVanderson de Oliveira Campos: 48 passningar, xT 0.22CamposFlávio Basilua Jacinto Nazinho: 39 passningar, xT 0.17NazinhoSadibou Sané: 37 passningar, xT 0.09SanéEric Dier: 33 passningar, xT 0.04DierMamadou Coulibaly: 30 passningar, xT -0.02CoulibalyAleksandr Golovin: 25 passningar, xT 0.06GolovinDenis Zakaria: 22 passningar, xT 0.05ZakariaLukas Hradecky: 20 passningar, xT 0.01HradeckyStanis Idumbo: 19 passningar, xT 0.13IdumboParis Brunner: 3 passningar, xT -0.01Brunner
    Marseille
    Pierre Emile Hojbjerg: 81 passningar, xT 0.16HojbjergGeoffrey Edwin Kondogbia: 72 passningar, xT 0.05KondogbiaCj Egan Riley: 68 passningar, xT 0.04RileyTimothy Weah: 61 passningar, xT 0.04WeahEmerson Palmieri dos Santos: 56 passningar, xT 0.09SantosHimad Said Abdelli: 52 passningar, xT 0.08AbdelliAngel Gomes: 45 passningar, xT 0.07GomesIgor Paixao: 34 passningar, xT -0.01PaixaoJeffrey de Lange: 34 passningar, xT 0.01LangeAmine Ferid Gouiri: 25 passningar, xT 0.33GouiriNayef Aguerd: 25 passningar, xT 0.01Aguerd
    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.

    Monaco
    Lamine Camara: 66 passningar, xT -0.03CamaraVanderson de Oliveira Campos: 48 passningar, xT 0.22CamposFlávio Basilua Jacinto Nazinho: 39 passningar, xT 0.17NazinhoSadibou Sané: 37 passningar, xT 0.09SanéEric Dier: 33 passningar, xT 0.04DierMamadou Coulibaly: 30 passningar, xT -0.02CoulibalyAleksandr Golovin: 25 passningar, xT 0.06GolovinDenis Zakaria: 22 passningar, xT 0.05ZakariaLukas Hradecky: 20 passningar, xT 0.01HradeckyStanis Idumbo: 19 passningar, xT 0.13IdumboParis Brunner: 3 passningar, xT -0.01Brunner
    Marseille
    Pierre Emile Hojbjerg: 81 passningar, xT 0.16HojbjergGeoffrey Edwin Kondogbia: 72 passningar, xT 0.05KondogbiaCj Egan Riley: 68 passningar, xT 0.04RileyTimothy Weah: 61 passningar, xT 0.04WeahEmerson Palmieri dos Santos: 56 passningar, xT 0.09SantosHimad Said Abdelli: 52 passningar, xT 0.08AbdelliAngel Gomes: 45 passningar, xT 0.07GomesIgor Paixao: 34 passningar, xT -0.01PaixaoJeffrey de Lange: 34 passningar, xT 0.01LangeAmine Ferid Gouiri: 25 passningar, xT 0.33GouiriNayef Aguerd: 25 passningar, xT 0.01Aguerd

    The teams in numbers

    PerformanceMonacoMarseille
    Points33
    xPoints1.72.5
    xG per match1.62
    xGA per match0.720.21
    xG within 8s of winning the ball0.150.17
    xGA within 8s of losing the ball0.10
    Playing styleMonacoMarseille
    Build-up efficiency0.30.3
    Field tilt0.530.75
    xT per match0.871.1
    xTA per match0.670.38
    Won balls, offensive half3833
    Pressing intensity0.240.21
    Pressing efficiency0.320.25
    Pressing efficiency, offensive half0.280.21
    Entries into the box per match1611
    Entries into the box against108
    Pass completion %0.750.87
    Pass completion % under pressure0.680.82
    Passes per match348633
    Passes against per match327275
    Switches of play per match26.833
    Long balls per match3326
    Set piecesMonacoMarseille
    xG from free kicks0.060.03
    Corners per match43
    Corners against per match6.94
    xG per corner0.030.01
    xGA per corner against0.010.02
    First touch, offensive corners %0.250.33
    First touch, defensive corners %10.75
    OtherMonacoMarseille
    Throw-in control0.520.67
    The goalkeepersLukas Hradecky (Monaco)Jeffrey de Lange (Marseille)
    Saves32
    Save %100%100%
    xG prevented100%100%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Monaco vs Marseille according to our model?

    The model gives Monaco a 41% win probability. Full 1X2 picture: Monaco 41%, draw 24%, Marseille 35%.

    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.

    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.