# Gil Vicente vs Arouca > Liga Portugal · Kickoff Mon 11 May 2026, 19:15 UTC · [Canonical HTML](https://betsprinter.com/fixtures/733) **Status:** Finished **Final score:** Gil Vicente 1–3 Arouca ## Pre-match deep dive ### Small Margins and Key Absences Decide Late-Season Tilt ## The stage This fixture arrives on Monday, 11 May 2026 at 19:15 UTC in Liga Portugal — a late-season match with immediate implications for both sides' final positioning[^fact-1]. The timing compresses recovery windows and raises the value of short-term form and availability[^fact-1]. ## Form & momentum Gil Vicente's recent run reads DWLDW across the last ten matches, a sequence that translates to 2 wins, 4 draws and 4 defeats and a points return of 1.00 per game; their attacking output over that period is 1.30 goals scored and they concede 1.40 per match[^fact-2]. Arouca's last ten reads DLWLW — 4 wins, 1 draw and 5 defeats — producing a slightly superior points return of 1.30 per game, while both their goals scored and conceded sit at 1.30 per match[^fact-3]. Those topline measures create a clear, quantifiable framing: Arouca arrives with a small edge in points per game, while both sides have delivered nearly identical attacking returns in recent weeks, and Gil Vicente have slightly worse defensive leakage on average[^fact-2][^fact-3]. Expect a game where marginal differences in efficiency and individual form will decide an otherwise evenly poised contest[^fact-2][^fact-3]. ## Personnel Gil Vicente's short-term focal point is Murilo de Souza Costa, who has netted four goals in his last five appearances and carries an average match rating of 7.57 over that span[^fact-4]. That spike in finishing and output concentrates responsibility through one player for Gil Vicente's attacking fortunes[^fact-4]. Arouca's current in-form fulcrum is Tiago Esgaio, who has contributed two goals and two assists in his last five outings and holds an average rating of 7.39 in the same window[^fact-5]. Esgaio's combined goal involvements suggest a more distributed creative impact relative to Gil Vicente's dependence on Murilo's scoring run[^fact-5]. Availability casts a shadow. Gil Vicente will be without Mohamed Aboubakar Bamba through injury, removing a named option from their matchday planning[^fact-6]. Arouca are missing Hyun-ju Lee to suspension; Lee's recent involvement totals 707 minutes in the run noted, meaning his enforced absence subtracts a significant chunk of recent on-field minutes from Arouca's setup[^fact-7]. Both absences force tactical and personnel adjustments that could shape how each side approaches chance construction and defensive balance[^fact-6][^fact-7]. ## Where the model sees value — top edges vs the market, with odds The model quantifies two principal edges to test against market pricing. First, Arouca's higher points-per-game rate (1.30) versus Gil Vicente's (1.00) presents a measurable baseline advantage to prefer Arouca in outcomes tied to consistency[^fact-2][^fact-3]. Second, the offensive balance differs: Gil Vicente's recent scoring is concentrated in Murilo's four goals in five matches, while Arouca's attacking returns show Esgaio combining goals and assists, indicating Arouca may be less reliant on a single finishing run and therefore less volatile if one player is neutralised[^fact-4][^fact-5]. Conversely, Gil Vicente's slightly worse goals-against figure (1.40 conceded) versus Arouca's 1.30 suggests vulnerability that could be exploited by Arouca's multi-faceted attacking contributions[^fact-2][^fact-3]. Critical contextual offsets: both sides are missing named contributors — Gil Vicente's Mohamed Aboubakar Bamba and Arouca's Hyun-ju Lee — so any market pricing that treats availability as neutral will understate the impact of those absences; the model flags lines that ignore those specific misses as potential inefficiencies[^fact-6][^fact-7]. Because both teams have similar recent goals-for figures and only tiny differences in defensive numbers, the model narrows projected scorelines and focuses value on markets that pay for marginal advantages in consistency and squad depth rather than on extreme outcomes[^fact-2][^fact-3]. The absence of Hyun-ju Lee, who logged 707 minutes in the recent run, is treated as a material subtraction of match minutes for Arouca; the model therefore discounts Arouca's edge slightly when that market fails to account for Lee's suspension[^fact-7]. ## Verdict The model leans marginally toward Arouca based on a superior points-per-game return and a less concentrated attacking profile, but the game is expected to be tight: recent goals and defensive numbers are close and both sides carry notable absences that compress upside for extreme scorelines[^fact-3][^fact-4][^fact-5][^fact-6][^fact-7]. ### Cited facts [^fact-1]: **Kickoff** — Mon 11 May 2026, 19:15 UTC — Liga Portugal [^fact-2]: **GVFC recent form** — DWLDW last 10: 2-4-4 (W-D-L), 1.00 PPG, 1.30 goals scored / 1.40 conceded per match. [^fact-3]: **FCA recent form** — DLWLW last 10: 4-1-5 (W-D-L), 1.30 PPG, 1.30 goals scored / 1.30 conceded per match. [^fact-4]: **GVFC in-form player** — Murilo de Souza Costa — 4 goals, 0 assists in last 5 appearances, avg rating 7.57. [^fact-5]: **FCA in-form player** — Tiago Esgaio — 2 goals, 2 assists in last 5 appearances, avg rating 7.39. [^fact-6]: **GVFC key absence** — Mohamed Aboubakar Bamba out (injury). [^fact-7]: **FCA key absence** — Hyun-ju Lee out (suspension), 707 minutes in recent run. --- Methodology: . Canonical HTML: .