# Le Havre vs Olympique Marseille > Ligue 1 · Kickoff Sun 10 May 2026, 19:00 UTC · [Canonical HTML](https://betsprinter.com/fixtures/797) **Status:** Finished **Final score:** Le Havre 0–1 Olympique Marseille ## Model verdict - **Le Havre win:** 9% - **Draw:** 60% - **Olympique Marseille win:** 31% - **Source:** model ## Pre-match deep dive ### Model leans to the draw as goals market splits expectations ## The stage This Ligue 1 fixture kicks off Sun 10 May 2026, 19:00 UTC and pits Le Havre against Olympique Marseille on a matchday that matters for both sides' runs of form[^fact-1][^fact-1]. The model assigns a distinct probability split: Home 9%, Draw 60%, Away 31% — a clear nod toward parity and the draw as the single most likely result[^fact-2]. The Elo comparison, with home advantage applied, still gives Le Havre a slight deficit of 29 points versus Marseille, signalling a narrow underlying quality edge to the visitors despite the home setting[^fact-3]. ## Form & momentum Le Havre arrive in a stagnant run: DDDDD in their last 10 with a W-D-L record of 0-6-4, averaging 0.60 points per game and scoring 1.00 while conceding 1.60 goals per match[^fact-4]. Marseille's recent string reads LDLWL with a 4-1-5 record in ten, averaging 1.30 points per game and posting 1.10 goals for and 1.50 against per match[^fact-5]. Those numbers frame Marseille as the marginally better side across results and points per game, even if both teams show defensive vulnerability and inconsistent attacking returns[^fact-4][^fact-5]. The model’s probabilities reflect this balance: a heavy tilt toward a draw rather than a convincing away favourite or home win, reinforced by the 29-point Elo differential that favours Marseille but not overwhelmingly so[^fact-2][^fact-3]. ## Personnel Le Havre’s most notable in-form contributor is Issa Soumaré, who has 1 goal and 3 assists in his last 5 appearances and an average rating of 7.01 across that run[^fact-9]. His influence on Le Havre’s chance creation and finishing will be a primary source of offense for the home side[^fact-9]. Marseille’s form player called out by the data is Mason Greenwood, with 0 goals, 2 assists in his last 4 appearances and an average rating of 7.43 during that spell[^fact-10]. That assists-heavy contribution suggests a creator-type influence rather than a prolific scoring burst in recent matches[^fact-10]. Key absences matter: Le Havre will be without Stephan Zagadou due to injury, who logged 169 minutes in the recent run and whose absence subtracts a defensive piece from the rotation[^fact-11]. Marseille are missing Leonardo Balerdi through injury, with Balerdi having played 641 minutes in the recent run, removing a familiar defensive presence from the visitors’ setup[^fact-12]. Both sides losing defensive minutes in the run-up to the game helps explain why each has conceded roughly 1.5 goals per match in recent form, and why the model remains cautious rather than extreme in its outcome probabilities[^fact-4][^fact-5][^fact-11][^fact-12]. ## Where the model sees value Three markets were compared between the model and market prices[^fact-13]. The clearest discrepancy is in the Over 2.5 goals market: the model shows a 58% chance of Over 2.5 while the market price on Paddy Power implies a much higher traded probability at 67.00, producing an edge of 56.1 percentage points for the model’s stance (high confidence)[^fact-6][^fact-6]. The model also flags value on the Draw in Match Winner: model probability 60% versus Betfair Exchange pricing at 3.85, yielding an edge of 34.0 percentage points (high confidence)[^fact-7][^fact-7]. Interestingly, the model simultaneously finds an edge for Under 2.5 goals at 54% against Unibet’s 2.90 price for that market, with a smaller but still notable edge of 19.9 percentage points (high confidence)[^fact-8][^fact-8]. Those two opposing goals-market signals underline model sensitivity to outcome paths: match states that create scoring opportunities versus compact periods that suppress them can both be plausible given the personnel and recent defensive turnover[^fact-6][^fact-8][^fact-11][^fact-12]. ## Verdict The model’s lean is emphatic on one count: the draw is the single likeliest result at 60% in its distribution, with a 9% chance for a Le Havre win and 31% for Marseille[^fact-2]. Defensive absences on both sides, modest scoring rates, and a narrow Elo advantage for Marseille produce a cautious outlook that privileges parity and low-to-medium-scoring scenarios, which is reflected in divergent but high-confidence edges across the goals and match-winner markets[^fact-3][^fact-4][^fact-5][^fact-6][^fact-7][^fact-8]. ### Cited facts [^fact-1]: **Kickoff** — Sun 10 May 2026, 19:00 UTC — Ligue 1 [^fact-2]: **Model verdict** — Home 9% / Draw 60% / Away 31% (source: model; confidence high, 29 pp gap to runner-up). [^fact-3]: **Elo edge** — LEH vs OM — Elo differential -29 points (with home advantage applied). [^fact-4]: **LEH recent form** — DDDDD last 10: 0-6-4 (W-D-L), 0.60 PPG, 1.00 goals scored / 1.60 conceded per match. [^fact-5]: **OM recent form** — LDLWL last 10: 4-1-5 (W-D-L), 1.30 PPG, 1.10 goals scored / 1.50 conceded per match. [^fact-6]: **Value pick #1** — Over in Goals O/U 2.5 — model 58% vs market price 67.00 at Paddy Power, edge 56.1 pp (high confidence). [^fact-7]: **Value pick #2** — Draw in Match Winner — model 60% vs market price 3.85 at Betfair Exchange, edge 34.0 pp (high confidence). [^fact-8]: **Value pick #3** — Under in Goals O/U 2.5 — model 54% vs market price 2.90 at Unibet, edge 19.9 pp (high confidence). [^fact-9]: **LEH in-form player** — Issa Soumaré — 1 goals, 3 assists in last 5 appearances, avg rating 7.01. [^fact-10]: **OM in-form player** — Mason Greenwood — 0 goals, 2 assists in last 4 appearances, avg rating 7.43. [^fact-11]: **LEH key absence** — Stephan Zagadou out (injury), 169 minutes in recent run. [^fact-12]: **OM key absence** — Leonardo Balerdi out (injury), 641 minutes in recent run. [^fact-13]: **Markets analysed** — 3 market(s) compared against the model. --- Methodology: . Canonical HTML: .