# Gent vs Union Saint-Gilloise > Pro League · Kickoff Thu 21 May 2026, 18:30 UTC · [Canonical HTML](https://betsprinter.com/fixtures/1003) **Status:** Finished **Final score:** Gent 0–0 Union Saint-Gilloise ## Model verdict - **Gent win:** 9% - **Draw:** 31% - **Union Saint-Gilloise win:** 60% - **Source:** model ## Pre-match deep dive ### Model Favors the Visitors as Goalless Edge Looms Large ## The stage This fixture is scheduled for Thu 21 May 2026, 18:30 UTC in the Pro League[^fact-1]. The basic competitive stakes are straightforward: league points in a late-season setting with a clear timeslot and organising competition[^fact-1]. ## Form & momentum There is a stark form and quality gap between the two sides. Gent have scraped together a two wins, five draws and three defeats record in their last 10 matches (2-5-3), averaging 1.10 points per game, with 0.90 goals scored and 1.00 conceded per match[^fact-4]. By contrast Union Saint-Gilloise have a seven wins, one draw and two defeats return in their last 10 (7-1-2), averaging 2.20 points per game, with 1.60 goals scored and 1.00 conceded per match[^fact-5]. The model’s probabilistic assessment heavily favours the visitors: Home 9% / Draw 31% / Away 60%, a gap of 29 percentage points between the model’s top pick and the runner-up (model confidence high)[^fact-2]. That sentiment is mirrored in underlying quality: the Elo differential, after applying home advantage, sits at minus 197 in Gent’s favour versus Union Saint-Gilloise — indicating a substantial expected quality edge to the away side[^fact-3]. Taken together, the recent results and the Elo gap point to clear momentum for the away team, while Gent’s recent run reads as stagnation rather than ascendancy[^fact-4][^fact-5][^fact-3]. ## Personnel Gent’s most-noted in-form figure in the sample is Wilfried Kanga: one goal, zero assists and an average rating of 6.69 across his last five appearances[^fact-9]. Union Saint-Gilloise’s recent spark is Anouar Ait El Hadj: one goal, two assists and an average rating of 7.17 across his last five appearances[^fact-10]. Availability issues alter the matchup. Gent will be missing Matties Volckaert through injury; he contributed 810 minutes in the recent run and his absence removes a chunk of continuity[^fact-11]. Union Saint-Gilloise will be without Ross Sykes due to suspension; Sykes accounted for 900 minutes in the recent sequence, representing a major defensive unavailability[^fact-12]. Those absences change squad balance for both sides but do not, on the numbers provided, erase Union Saint-Gilloise’s overarching quality advantage[^fact-3][^fact-5][^fact-11][^fact-12]. ## Where the model sees value Three market comparisons were analysed against the model[^fact-13], and the clearest edges are in lower-scoring outcomes and the outright away selection. - Under 2.5 goals: the model assigns an 81% probability to Under 2.5, versus a market price of 1.90 at bet365, producing an edge of 27.9 percentage points (high confidence)[^fact-6]. - Both Teams to Score — No: the model gives a 76% probability to BTTS No, versus a market price of 1.95 at bet365, yielding a 24.4 percentage point edge (high confidence)[^fact-7]. - Match winner — Away: the model gives 69% to the away win, versus a market price of 1.82 at Dafabet, an edge of 13.7 percentage points (high confidence)[^fact-8]. These three value notes are the exact markets compared to the model across the analysed markets[^fact-13]. The model’s heavy lean to an away result sits alongside strong expectations for a low-scoring game and a reasonable chance that one side will keep a clean sheet, per the BTTS No projection[^fact-6][^fact-7][^fact-8]. ## Verdict The model’s verdict is unambiguous: Union Saint-Gilloise are the clear pick with a 60% probability of winning and a 29 percentage-point confidence gap to the runner-up[^fact-2], supported by a large Elo advantage of -197 after home adjustment[^fact-3] and markedly superior recent form (2.20 PPG vs 1.10 PPG)[^fact-5][^fact-4]. Simultaneously, Under 2.5 goals and BTTS No are the strongest edges versus the market, suggesting a compact game where the away side’s quality matters more than open, high-scoring exchanges[^fact-6][^fact-7][^fact-8]. ### Cited facts [^fact-1]: **Kickoff** — Thu 21 May 2026, 18:30 UTC — Pro League [^fact-2]: **Model verdict** — Home 9% / Draw 31% / Away 60% (source: model; confidence high, 29 pp gap to runner-up). [^fact-3]: **Elo edge** — GNT vs USG — Elo differential -197 points (with home advantage applied). [^fact-4]: **GNT recent form** — DDLLD last 10: 2-5-3 (W-D-L), 1.10 PPG, 0.90 goals scored / 1.00 conceded per match. [^fact-5]: **USG recent form** — LWLWD last 10: 7-1-2 (W-D-L), 2.20 PPG, 1.60 goals scored / 1.00 conceded per match. [^fact-6]: **Value pick #1** — Under in Goals O/U 2.5 — model 81% vs market price 1.90 at bet365, edge 27.9 pp (high confidence). [^fact-7]: **Value pick #2** — No in Both Teams to Score — model 76% vs market price 1.95 at bet365, edge 24.4 pp (high confidence). [^fact-8]: **Value pick #3** — Away in Match Winner — model 69% vs market price 1.82 at Dafabet, edge 13.7 pp (high confidence). [^fact-9]: **GNT in-form player** — Wilfried Kanga — 1 goals, 0 assists in last 5 appearances, avg rating 6.69. [^fact-10]: **USG in-form player** — Anouar Ait El Hadj — 1 goals, 2 assists in last 5 appearances, avg rating 7.17. [^fact-11]: **GNT key absence** — Matties Volckaert out (injury), 810 minutes in recent run. [^fact-12]: **USG key absence** — Ross Sykes out (suspension), 900 minutes in recent run. [^fact-13]: **Markets analysed** — 3 market(s) compared against the model. --- Methodology: . Canonical HTML: .