# Brighton & Hove Albion vs Manchester United > Premier League · Kickoff Sun 24 May 2026, 15:00 UTC · [Canonical HTML](https://betsprinter.com/fixtures/1055) **Status:** Finished **Final score:** Brighton & Hove Albion 0–3 Manchester United ## Model verdict - **Brighton & Hove Albion win:** 44% - **Draw:** 23% - **Manchester United win:** 33% - **Source:** model ## Pre-match deep dive ### Brighton’s slight edge on form meets a stubborn United defence ## The stage This one lands late in the Premier League season with a single Sunday kickoff: 15:00 UTC on 24 May 2026[^fact-1]. The fixture is a straightforward home-vs-away league clash that the model rates as slightly favouring the hosts, but still competitive[^fact-2]. ## Form & momentum Brighton arrive on a run that blends inconsistency with defensive solidity: their last 10 matches read LWLWD, producing 6 wins, 1 draw and 3 defeats, a points-per-game rate of 1.90 and attacking and defensive outputs of 1.60 goals scored and 0.90 conceded per match[^fact-4]. Manchester United’s sequence is marginally stronger on paper: WDWWW in the last 10, translating to 6 wins, 2 draws and 2 defeats, a 2.00 points-per-game return with 1.80 goals scored and 1.30 conceded per match[^fact-5]. The model applies an Elo-based edge to the fixture and still gives the home side a clear technical advantage: Brighton sit +74 Elo points ahead once home advantage is factored in[^fact-3]. That Elo margin helps explain why the model makes Brighton the single most likely outcome, even as United’s recent PPG and goals numbers keep this well within reach[^fact-2]. ## Personnel Brighton’s attacking form has a clear focal point in Jack Hinshelwood, who has netted 3 goals in his last 5 appearances and carries an average match rating of 6.92 over that span[^fact-7]. Hinshelwood’s finishing rhythm is a concrete reason Brighton’s 1.60 goals-per-game figure has stayed respectable despite other changes[^fact-4][^fact-7]. However, a significant structural absentee on the home side is Diego Gómez, who is out injured after contributing 477 minutes in the recent run[^fact-9]. That loss removes a chunk of match minutes from Brighton’s recent baseline but the supplied data does not specify his role, so impact must be inferred only from the minutes figure[^fact-9]. Manchester United’s creative engine in this window has been Bruno Fernandes: 0 goals but 3 assists in his last 5 appearances, and an average rating of 7.64 across those games[^fact-8]. Fernandes’s assist tally underpins some of United’s 1.80 goals-per-match return during the recent sequence[^fact-5][^fact-8]. The visitors are also without Matheus Cunha due to injury; Cunha logged 780 minutes in the team’s recent run before his absence[^fact-10]. As with Brighton, the minutes figure signals a substantive loss of on-field time but stops short of specifying tactical substitution or positional replacement[^fact-10]. ## Where the model sees value Three markets were compared between the model and market prices for this fixture[^fact-11]. The clearest quantitative edge is on under 2.5 goals: the model assigns a 53% probability to under 2.5, while the market price quoted is 2.75 at bet365, producing an edge of 16.4 percentage points and flagged with high confidence[^fact-6][^fact-11]. That projection aligns with both teams’ modest goals-for and goals-against numbers over the recent run — 1.60/0.90 for Brighton and 1.80/1.30 for United — which combine to suggest a match that is not guaranteed to be high-scoring[^fact-4][^fact-5][^fact-6]. No other market edges are provided in the supplied facts; the three-market comparison is noted but only the under-2.5 outcome is quantified with an explicit edge and confidence signal[^fact-11][^fact-6]. ## Verdict The model gives Brighton the narrowest probability lead and an Elo advantage once home effect is applied—home 45%, draw 22%, away 34%—so the contest is modelled as tight but tilted to the hosts[^fact-2][^fact-3]. Personnel disruptions on both sides (Diego Gómez and Matheus Cunha out) reduce the clarity of attacking profiles, while Hinshelwood’s recent goals and Fernandes’s assists provide focal points to watch[^fact-9][^fact-10][^fact-7][^fact-8]. The clearest statistical opportunity from the model is for a low-scoring game: under 2.5 goals carries the stated edge against market pricing[^fact-6]. ### Cited facts [^fact-1]: **Kickoff** — Sun 24 May 2026, 15:00 UTC — Premier League [^fact-2]: **Model verdict** — Home 45% / Draw 22% / Away 34% (source: model; confidence mid, 11 pp gap to runner-up). [^fact-3]: **Elo edge** — BHA vs MUN — Elo differential +74 points (with home advantage applied). [^fact-4]: **BHA recent form** — LWLWD last 10: 6-1-3 (W-D-L), 1.90 PPG, 1.60 goals scored / 0.90 conceded per match. [^fact-5]: **MUN recent form** — WDWWW last 10: 6-2-2 (W-D-L), 2.00 PPG, 1.80 goals scored / 1.30 conceded per match. [^fact-6]: **Value pick #1** — Under in Goals O/U 2.5 — model 53% vs market price 2.75 at bet365, edge 16.4 pp (high confidence). [^fact-7]: **BHA in-form player** — Jack Hinshelwood — 3 goals, 0 assists in last 5 appearances, avg rating 6.92. [^fact-8]: **MUN in-form player** — Bruno Fernandes — 0 goals, 3 assists in last 5 appearances, avg rating 7.64. [^fact-9]: **BHA key absence** — Diego Gómez out (injury), 477 minutes in recent run. [^fact-10]: **MUN key absence** — Matheus Cunha out (injury), 780 minutes in recent run. [^fact-11]: **Markets analysed** — 3 market(s) compared against the model. --- Methodology: . Canonical HTML: .