Ligue 1Roazhon Park, Rennes14°10,4 mm44 km/h

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    RennesRennesBalanced & physical
    vs
    StrasbourgStrasbourgBalanced & physical
    The model's lean: 1 · Rennes (63%)

    Rennes vs Strasbourg · Ligue 1

    1 · Rennes 63%X 19%18% Strasbourg · 2

    Prediction summary

    BetBuilders AI model prediction for Rennes vs Strasbourg (Ligue 1, Sunday, 25 October 2026): Rennes win 63%, draw 19%, Strasbourg win 18%. Expected goals (xG): Rennes 2.20, Strasbourg 1.53. Most likely score: 2-1 (9%). Over 2.5 goals 72%, both teams to score 70%. Double chance: Rennes or draw 82%, Strasbourg or draw 37%. Prediction updated Friday, 16 October 2026.

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    Analysis: Rennes – Strasbourg

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

    Rennes enter this matchup with a commanding 63% probability of victory from the model, reflecting their overall form and statistical edge against a Strasbourg side on a three-game losing streak. The hosts have a history of capitalizing on home advantage, winning 58% of their fixtures. Their tactical balance and physicality should help them maintain dominance in possession, likely translating their superior expected goals (2.20 to Strasbourg's 1.53) into actual goals on the scoreboard.

    Despite the small head-to-head sample since 2022, Rennes have clearly dominated with three wins out of four matches. While both teams share a similar playing style, the home side’s efficiency in attack should provide an upper hand. Strasbourg's attacking output is expected to struggle against Rennes’ defense, though the visitors still pose a threat, owning an xGA slightly better than that of the hosts.

    The most probable scoreline, according to the model, is a 2-1 victory for Rennes, with a strong lean towards over 2.5 goals at 72%. For bettors, valuable opportunities lie in backing Rennes at 1.75 with LeoVegas, offering a 10% edge. Another intriguing angle is the over 4.5 goals market at 3.42 with Betsafe and Nordicbet, both reflecting a 9% edge.

    RennesRennes
    Form WWLWL
    League ranking xG #3xGA #17xT #3xP/match #10Points #6
    Key players
    • Abdelhamid Aït BoudlalCBxG 0.00 · xT 0.02
    • Valentin RongierCDMxG 0.06 · xT 0.07
    • Estéban LepaulFxG 0.94 · xT 0.00
    StrasbourgStrasbourg
    Form WDLLL
    League ranking xG #15xGA #14xT #15xP/match #17Points #14
    Key players
    • Ismaël Landry DoukouréCBxG 0.03 · xT 0.02
    • Jeyland Yahir Mitchell BaltodanoCBxG 0.10 · xT 0.05
    • Gessime YassineRWxG 0.17 · xT 0.15

    Match prediction: Rennes – Strasbourg

    Predicted score matrix

    Strasbourg →
    Rennes →
    0
    1
    2
    3
    4+
    0
    0–02.6%
    0–13.4%
    0–22.8%
    0–31.4%
    0–4+0.8%
    1
    1–05.0%
    1–18.3%
    1–26.2%
    1–33.2%
    1–4+1.7%
    2
    2–05.8%
    2–18.9%
    2–26.8%
    2–33.5%
    2–4+1.9%
    3
    3–04.2%
    3–16.5%
    3–25.0%
    3–32.6%
    3–4+1.4%
    4+
    4+–03.9%
    4+–16.0%
    4+–24.6%
    4+–32.4%
    4+–4+1.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-19%
    2. 2.1-18%
    3. 3.2-27%
    4. 4.3-17%
    5. 5.1-26%
    Expected goals
    2,20–1,53
    Both teams to score
    70%

    Over/under goals

    Expected goals: 3,7
    Under 2,528%
    @2.91
    Over 2,572%
    @1.42EV+2%

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    01 · 2 legs

    Safe

    • Rennes to win63%
    • Over 1.5 goals89%

    Combined probability

    47%

    Fair odds

    2.11

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

    02 · 3 legs

    Balanced

    • Rennes to win63%
    • Over 2.5 goals72%
    • Issa Soumaré 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 score70%
    • Over 2.5 goals72%
    • Issa Soumaré to score23%
    • Pape Demba Diop 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 · Rennes63% probability@1.75LeoVegasEV+10%reference odds
    • Over 4.532% probability@3.42BetsafeEV+9%reference odds
    • Over 4.532% probability@3.42NordicbetEV+9%reference odds
    Bookmaker1 · RennesX2 · Strasbourg
    Betsafe
    EV+ 8%
    1.72
    4.204.05
    LeoVegas
    EV+ 10%
    1.75
    4.203.95
    Nordicbet
    EV+ 8%
    1.72
    4.204.05
    Pinnacle
    EV+ 2%
    1.62
    4.494.54

    Odds updated 22 Oct, 07:37

    Statistics

    Head-to-head

    4 matches
    Rennes 3Draw 0Strasbourg 1
    Goals: 9–4 (⌀ 3,2)

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

    Key facts

    • Strasbourg have lost 3 in a row.
    • Rennes win 58% of their home matches all-time (38 played).
    xG & xGA per match — 3-game rolling average

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

    Rennes
    Strasbourg
    When goals are scored and conceded — 2026
    Rennes (15–14)
    Strasbourg (12–15)
    Pass networks

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

    Rennes
    Charlie Cresswell: 292 passningar, xT 0.44CresswellValentin Rongier: 261 passningar, xT 0.33RongierAnthony Rouault: 199 passningar, xT 0.29RouaultMahdi Camara: 173 passningar, xT 0.11CamaraAdrien Thomasson: 162 passningar, xT 0.39ThomassonBrice Samba: 156 passningar, xT 0.05SambaPrzemyslaw Frankowski: 153 passningar, xT 0.5FrankowskiMahamadou Nagida: 153 passningar, xT 1.03NagidaBryan Keith Reynolds Jr.: 102 passningar, xT 0.46Jr.Ludovic Régis Arsène Blas: 76 passningar, xT 0.83BlasMousa Mohammad Mousa Sulaiman Al Ta'mari: 74 passningar, xT 0.51Ta'mari
    Strasbourg
    Jeyland Yahir Mitchell Baltodano: 255 passningar, xT 0.26BaltodanoPape Demba Diop: 230 passningar, xT 0.08DiopJoaquín Martínez Gauna: 205 passningar, xT 0.52GaunaFilip Jørgensen: 198 passningar, xT 0.09JørgensenGenesis Antwi: 188 passningar, xT 0.39AntwiIsmaël Landry Doukouré: 144 passningar, xT 0.08DoukouréGiovanni Alejandro Reyna: 116 passningar, xT 0ReynaKarim Coulibaly: 102 passningar, xT 0.07CoulibalyDiogo Lobão de Sousa: 95 passningar, xT 0.05SousaGessime Yassine: 88 passningar, xT 0.71YassineSebastian Nanasi: 80 passningar, xT 0.5Nanasi
    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: 292 passningar, xT 0.44CresswellValentin Rongier: 261 passningar, xT 0.33RongierAnthony Rouault: 199 passningar, xT 0.29RouaultMahdi Camara: 173 passningar, xT 0.11CamaraAdrien Thomasson: 162 passningar, xT 0.39ThomassonBrice Samba: 156 passningar, xT 0.05SambaPrzemyslaw Frankowski: 153 passningar, xT 0.5FrankowskiMahamadou Nagida: 153 passningar, xT 1.03NagidaBryan Keith Reynolds Jr.: 102 passningar, xT 0.46Jr.Ludovic Régis Arsène Blas: 76 passningar, xT 0.83BlasMousa Mohammad Mousa Sulaiman Al Ta'mari: 74 passningar, xT 0.51Ta'mari
    Strasbourg
    Jeyland Yahir Mitchell Baltodano: 255 passningar, xT 0.26BaltodanoPape Demba Diop: 230 passningar, xT 0.08DiopJoaquín Martínez Gauna: 205 passningar, xT 0.52GaunaFilip Jørgensen: 198 passningar, xT 0.09JørgensenGenesis Antwi: 188 passningar, xT 0.39AntwiIsmaël Landry Doukouré: 144 passningar, xT 0.08DoukouréGiovanni Alejandro Reyna: 116 passningar, xT 0ReynaKarim Coulibaly: 102 passningar, xT 0.07CoulibalyDiogo Lobão de Sousa: 95 passningar, xT 0.05SousaGessime Yassine: 88 passningar, xT 0.71YassineSebastian Nanasi: 80 passningar, xT 0.5Nanasi

    The teams in numbers

    PerformanceRennesStrasbourg
    Points137
    xPoints9.47.7
    xG per match1.91.2
    xGA per match1.91.8
    xG within 8s of winning the ball0.340.21
    xGA within 8s of losing the ball0.320.26
    Playing styleRennesStrasbourg
    Build-up efficiency0.30.29
    Field tilt0.50.4
    xT per match1.20.8
    xTA per match1.11.3
    Won balls, offensive half2319
    Pressing intensity0.250.23
    Pressing efficiency0.290.23
    Pressing efficiency, offensive half0.260.19
    Entries into the box per match1512
    Entries into the box against1315
    Pass completion %0.790.81
    Pass completion % under pressure0.730.77
    Passes per match408374
    Passes against per match393473
    Switches of play per match27.219
    Long balls per match3123
    Set piecesRennesStrasbourg
    xG from free kicks0.020.01
    Corners per match5.82.1
    Corners against per match6.25.4
    xG per corner0.030.03
    xGA per corner against0.020.02
    First touch, offensive corners %0.390.4
    First touch, defensive corners %0.50.42
    OtherRennesStrasbourg
    Throw-in control0.730.76
    The goalkeepersBrice Samba (Rennes)Filip Jørgensen (Strasbourg)
    Saves2329
    Save %66%67%
    xG prevented40%42%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Rennes vs Strasbourg according to our model?

    The model gives Rennes a 63% win probability. Full 1X2 picture: Rennes 63%, draw 19%, Strasbourg 18%.

    What is the most likely scoreline?

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

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 72% and under at 28%.

    Will both teams score?

    The probability of both teams scoring is 70% according to the model.

    How many goals are expected in Rennes vs Strasbourg?

    The model expects 2.20 goals (xG) for Rennes and 1.53 for Strasbourg, 3.74 in total.

    What does the model say about double chance?

    Rennes or draw (1X) 82%, Strasbourg or draw (X2) 37% and no draw (12) 81%.

    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.