# Newcastle United vs West Ham United > Premier League · Kickoff Sun 17 May 2026, 16:30 UTC · [Canonical HTML](https://betsprinter.com/fixtures/972) **Status:** Finished **Final score:** Newcastle United 3–1 West Ham United ## Model verdict - **Newcastle United win:** 75% - **Draw:** 14% - **West Ham United win:** 12% - **Source:** model ## Pre-match deep dive ### Model leans heavily home as defensive questions linger ## The stage This fixture kicks off Sun 17 May 2026 at 16:30 UTC in the Premier League[^fact-1]. The match sits late in the campaign and will be treated as a discrete three-point opportunity by both sides; beyond that, contextual stakes are not supplied here so focus should remain on the immediate contest timing and competition[^fact-1]. ## Form & momentum Newcastle's recent sequence reads D W L L L across the last ten matches, yielding a 3-1-6 record and 1.00 points per game, with an attacking output of 1.30 goals scored and 1.60 conceded per match[^fact-4]. West Ham arrive with a slightly better recent points return: their last ten read L L W D W, a 3-3-4 record and 1.20 points per game, scoring 1.00 and conceding 1.30 per match[^fact-5]. On a raw strength scale the model applies, Newcastle hold an Elo edge of +174 points after home advantage is applied[^fact-3]. That Elo differential feeds directly into the model verdict, which strongly favours the home side — Home 75%, Draw 14%, Away 12% — a 61 percentage-point gap to the runner-up and explicitly described as high confidence in the model output[^fact-2]. The numbers point to Newcastle as the form book favourite despite their modest recent PPG; the Elo margin and model conviction are the dominant signals here[^fact-3][^fact-2]. ## Personnel Newcastle's most noticeable in-form attacking profile is William Osula, who has scored 3 goals and 0 assists across his last five appearances, with an average rating of 6.79 in that span[^fact-9]. That finishing run is a clear positive for the hosts' chance of nicking a goal when it matters[^fact-9]. Defensively, however, Newcastle will be weakened by the absence of Sven Botman through injury; Botman contributed 685 minutes in the recent run before missing this tie[^fact-11]. West Ham's most productive recent contributor in the final third is Jarrod Bowen, who has 0 goals and 4 assists in his last five appearances and carries an average rating of 7.30 in that window[^fact-10]. On the personnel front for the visitors there is a significant availability note: Lukasz Fabianski is out injured and therefore unavailable for selection[^fact-12]. ## Where the model sees value Three market comparisons were analysed against the model[^fact-13], and the model flags clear edges versus the public prices. First, the greatest single discrepancy is the Match Winner market where the model prices a Home win at 69% while the market at 1xbet shows 2.26; that equates to an edge of 25.2 percentage points and is labelled with high confidence by the model[^fact-6]. Second, on goals the model favours Under 2.5 at 49% against a Betfair market price of 2.63, producing a 10.6 percentage-point edge and again high confidence[^fact-7]. Third, the model points to No on Both Teams to Score at 45% versus a Betfair market price of 2.88, giving a 9.8 percentage-point edge with high confidence[^fact-8]. Those three value calls — Home, Under 2.5, and BTTS No — come from the same model set and the market comparison explicitly notes three markets were analysed[^fact-13][^fact-6][^fact-7][^fact-8]. The combination of a sizable Elo advantage for the hosts and a model-implied propensity for fewer goals underpins the twin edges on match winner and lower-scoring outcomes[^fact-3][^fact-7]. Missing defensive personnel and recent attacking form on both sides help explain why the model expects a controlled, low-scoring affair rather than a wide-open shootout[^fact-11][^fact-9][^fact-10][^fact-12]. ## Verdict The model leans decisively to the home side — Home 75% / Draw 14% / Away 12% — driven by a +174 Elo edge and supported by three market edges where Home, Under 2.5 and BTTS No show the clearest discrepancies against public prices[^fact-2][^fact-3][^fact-6][^fact-7][^fact-8][^fact-13]. ### Cited facts [^fact-1]: **Kickoff** — Sun 17 May 2026, 16:30 UTC — Premier League [^fact-2]: **Model verdict** — Home 75% / Draw 14% / Away 12% (source: model; confidence high, 61 pp gap to runner-up). [^fact-3]: **Elo edge** — NEW vs WHU — Elo differential +174 points (with home advantage applied). [^fact-4]: **NEW recent form** — DWLLL last 10: 3-1-6 (W-D-L), 1.00 PPG, 1.30 goals scored / 1.60 conceded per match. [^fact-5]: **WHU recent form** — LLWDW last 10: 3-3-4 (W-D-L), 1.20 PPG, 1.00 goals scored / 1.30 conceded per match. [^fact-6]: **Value pick #1** — Home in Match Winner — model 69% vs market price 2.26 at 1xbet, edge 25.2 pp (high confidence). [^fact-7]: **Value pick #2** — Under in Goals O/U 2.5 — model 49% vs market price 2.63 at Betfair, edge 10.6 pp (high confidence). [^fact-8]: **Value pick #3** — No in Both Teams to Score — model 45% vs market price 2.88 at Betfair, edge 9.8 pp (high confidence). [^fact-9]: **NEW in-form player** — William Osula — 3 goals, 0 assists in last 5 appearances, avg rating 6.79. [^fact-10]: **WHU in-form player** — Jarrod Bowen — 0 goals, 4 assists in last 5 appearances, avg rating 7.30. [^fact-11]: **NEW key absence** — Sven Botman out (injury), 685 minutes in recent run. [^fact-12]: **WHU key absence** — Lukasz Fabianski  out (injury). [^fact-13]: **Markets analysed** — 3 market(s) compared against the model. --- Methodology: . Canonical HTML: .