Ligue 1Roazhon Park, Rennes18°0,5 mm15 km/h

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    RennesRennesLow block & direct
    vs
    MarseilleMarseillePossession & high press
    The model's lean: 2 · Marseille (40%)Soft draw

    RennesMarseille · Ligue 1

    1 · Rennes 35%X 25%40% Marseille · 2

    Analysis: RennesMarseille

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

    Marseille's high pressing style will be key as they clash with Rennes, who boast a robust record at home with a 57% win rate in 35 games. Despite this, the visitors come in with a slight edge from the model's predictions, sitting at a 40% chance to claim victory. A major storyline here is Rennes' ability to find the back of the net consistently, having scored in 10 straight league matches. Yet, their offensive prowess meets a formidable Marseille defense that allows just 0.81 expected goals against per match, signaling a possible bottleneck in Rennes’ scoring momentum.

    The head-to-head data, though a small sample size with only four matches since 2022, favors Marseille with three wins to Rennes’ one. While this could suggest a psychological edge, it's vital to weigh it less heavily compared to current form and expected goals. Here, Rennes have a marginal xPoints lead (4.1 vs 3.4), but both teams tally identical xG per match at 1.8. This statistical parity indicates that the match may hinge on execution rather than sheer firepower.

    Given the model’s lean toward Marseille and the generous odds available, there’s notable value in backing an away win at 3.45 with Betsafe, Betsson, and Nordicbet — a 37% edge according to the model. Marseille’s ability to dictate play through possession could exploit Rennes' low defensive stance, potentially neutralizing the home advantage.

    While the most probable scoreline is a 1-1 draw, the numbers lean slightly towards a 1-2 result in favor of the visitors. With a 59% chance for over 2.5 goals and a strong 62% likelihood for both teams to score, bettors might consider the over, despite the natural restraint of Rennes at home. However, the sharper play appears to be the value on Marseille. Their tactical approach and form suggest they are well-positioned to capitalize on any lapses from Rennes, making their odds particularly alluring.

    RennesRennes
    Form WLDWW
    League ranking xG #4xGA #12xT #7xP/match #11Points #4
    Key players
    • Estéban LepaulFxG 0.77 · xT -0.01
    • Mousa Mohammad Mousa Sulaiman Al Ta'mariRWxG 0.13 · xT 0.16
    • Mahdi CamaraCAMxG 0.16 · xT 0.04
    MarseilleMarseille
    Form WWWLL
    League ranking xG #7xGA #2xT #3xP/match #4Points #11
    Key players
    • Amine Ferid GouiriFxG 0.70 · xT 0.18
    • Emerson Palmieri dos SantosLWBxG 0.04 · xT 0.19
    • Pierre Emile HojbjergCDMxG 0.13 · xT 0.21

    Match prediction: RennesMarseille

    Predicted score matrix

    Marseille
    Rennes
    0
    1
    2
    3
    4+
    0
    0–05.0%
    0–17.2%
    0–26.0%
    0–33.2%
    0–4+1.8%
    1
    1–06.5%
    1–111.3%
    1–28.8%
    1–34.7%
    1–4+2.7%
    2
    2–05.0%
    2–18.0%
    2–26.4%
    2–33.4%
    2–4+2.0%
    3
    3–02.4%
    3–13.9%
    3–23.1%
    3–31.7%
    3–4+1.0%
    4+
    4+–01.2%
    4+–12.0%
    4+–21.6%
    4+–30.8%
    4+–4+0.5%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-29%
    3. 3.2-18%
    4. 4.0-17%
    5. 5.1-07%
    Expected goals
    1,461,60
    Both teams to score
    62%

    Over/under goals

    Expected goals: 3,1
    Under 2,541%
    @2.80EV+15%
    Over 2,559%
    @1.45

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Marseille or draw (X2)65%
    • Over 1.5 goals81%

    Combined probability

    53%

    Fair odds

    1.88

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

    02 · 3 legs

    Balanced

    • Double chance Marseille or draw (X2)65%
    • Over 2.5 goals59%
    • Adilson Angel Abreu de Almeida Gomes to score28%

    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 score62%
    • Over 2.5 goals59%
    • Adilson Angel Abreu de Almeida Gomes to score28%
    • Valentin Rongier 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 · Marseille40% probability@3.44PinnacleEV+36%reference odds
    • 2 · Marseille40% probability@3.35BetsafeEV+33%reference odds
    • 2 · Marseille40% probability@3.30BetssonEV+31%reference odds
    Bookmaker1 · RennesX2 · Marseille
    Betsafe2.053.60
    EV+ 33%
    3.35
    Betsson2.003.80
    EV+ 31%
    3.30
    Nordicbet2.003.80
    EV+ 31%
    3.30
    Pinnacle2.073.86
    EV+ 36%
    3.44

    Odds updated 11 Sept, 16:38

    Odds movement

    Market signal

    The market has moved clearly towards a Rennes win since 4 September — the odds have shortened from 2.28 to 2.07 (−9%).

    1-9 %
    50 %40 %

    2.282.07

    X-3 %
    30 %20 %

    3.993.86

    2+26 %
    36 %26 %

    2.733.44

    Pinnacle · 20 recorded price levels · 04/09/2026 → 11/09/2026 · fixed scale 10 percentage points

    Statistics

    Head-to-head

    4 matches
    Rennes 1Draw 0Marseille 3
    Goals: 59 (⌀ 3,5)

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

    Key facts

    • Rennes have scored in 10 consecutive league matches.
    • Rennes win 57% of their home matches all-time (35 played).
    xG & xGA per match — 3-game rolling average

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

    Rennes
    Marseille
    When goals are scored and conceded 2026
    Rennes (75)
    Marseille (65)
    Pass networks

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

    Rennes
    Charlie Cresswell: 158 passningar, xT 0.18CresswellValentin Rongier: 142 passningar, xT 0.22RongierPrzemyslaw Frankowski: 139 passningar, xT 0.54FrankowskiAbdelhamid Aït Boudlal: 86 passningar, xT 0.07BoudlalQuentin Merlin: 85 passningar, xT 0.78MerlinAdrien Thomasson: 83 passningar, xT 0.08ThomassonMahdi Camara: 66 passningar, xT 0.03CamaraBrice Samba: 64 passningar, xT 0.08SambaSebastian Szymański: 60 passningar, xT 0.28SzymańskiEstéban Lepaul: 47 passningar, xT -0.01LepaulLudovic Régis Arsène Blas: 45 passningar, xT 0.08Blas
    Marseille
    Pierre Emile Hojbjerg: 241 passningar, xT 0.59HojbjergCj Egan Riley: 211 passningar, xT 0.13RileyEmerson Palmieri dos Santos: 184 passningar, xT 0.44SantosTimothy Weah: 183 passningar, xT 0.51WeahNayef Aguerd: 142 passningar, xT 0.16AguerdAngel Gomes: 129 passningar, xT 0.12GomesHimad Said Abdelli: 126 passningar, xT 0.1AbdelliGeoffrey Edwin Kondogbia: 117 passningar, xT 0.09KondogbiaJeffrey de Lange: 103 passningar, xT 0.02LangeAmine Harit: 92 passningar, xT 0.42HaritAmine Ferid Gouiri: 73 passningar, xT 0.33Gouiri
    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.

    Rennes
    Charlie Cresswell: 158 passningar, xT 0.18CresswellValentin Rongier: 142 passningar, xT 0.22RongierPrzemyslaw Frankowski: 139 passningar, xT 0.54FrankowskiAbdelhamid Aït Boudlal: 86 passningar, xT 0.07BoudlalQuentin Merlin: 85 passningar, xT 0.78MerlinAdrien Thomasson: 83 passningar, xT 0.08ThomassonMahdi Camara: 66 passningar, xT 0.03CamaraBrice Samba: 64 passningar, xT 0.08SambaSebastian Szymański: 60 passningar, xT 0.28SzymańskiEstéban Lepaul: 47 passningar, xT -0.01LepaulLudovic Régis Arsène Blas: 45 passningar, xT 0.08Blas
    Marseille
    Pierre Emile Hojbjerg: 241 passningar, xT 0.59HojbjergCj Egan Riley: 211 passningar, xT 0.13RileyEmerson Palmieri dos Santos: 184 passningar, xT 0.44SantosTimothy Weah: 183 passningar, xT 0.51WeahNayef Aguerd: 142 passningar, xT 0.16AguerdAngel Gomes: 129 passningar, xT 0.12GomesHimad Said Abdelli: 126 passningar, xT 0.1AbdelliGeoffrey Edwin Kondogbia: 117 passningar, xT 0.09KondogbiaJeffrey de Lange: 103 passningar, xT 0.02LangeAmine Harit: 92 passningar, xT 0.42HaritAmine Ferid Gouiri: 73 passningar, xT 0.33Gouiri

    The teams in numbers

    PerformanceRennesMarseille
    Points73
    xPoints4.13.4
    xG per match1.81.8
    xGA per match1.80.81
    xG within 8s of winning the ball0.510.29
    xGA within 8s of losing the ball0.160.08
    Playing styleRennesMarseille
    Build-up efficiency0.30.3
    Field tilt0.430.74
    xT per match1.21.3
    xTA per match1.10.61
    Won balls, offensive half2326
    Pressing intensity0.230.22
    Pressing efficiency0.30.26
    Pressing efficiency, offensive half0.240.25
    Entries into the box per match1513
    Entries into the box against1210
    Pass completion %0.80.86
    Pass completion % under pressure0.760.79
    Passes per match386621
    Passes against per match401295
    Switches of play per match28.232.5
    Long balls per match3426
    Set piecesRennesMarseille
    xG from free kicks0.020.04
    Corners per match4.65.1
    Corners against per match9.24.6
    xG per corner0.050.01
    xGA per corner against0.020.01
    First touch, offensive corners %0.430.1
    First touch, defensive corners %0.50.67
    OtherRennesMarseille
    Throw-in control0.670.76
    The goalkeepersCharlie Cresswell (Rennes)Jeffrey de Lange (Marseille)
    Saves59
    Save %100%64%
    xG prevented100%43%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Rennes vs Marseille according to our model?

    The model gives Marseille a 40% win probability. Full 1X2 picture: Rennes 35%, draw 25%, Marseille 40%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 59% and under at 41%.

    Will both teams score?

    The probability of both teams scoring is 62% 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.