# Club Brugge vs Gent > Pro League · Kickoff Sun 24 May 2026, 16:30 UTC · [Canonical HTML](https://betsprinter.com/fixtures/1068) **Status:** Live ## Model verdict - **Club Brugge win:** 66% - **Draw:** 23% - **Gent win:** 11% - **Source:** model ## Pre-match deep dive ### Clear-cut home advantage as form and Elo stack the deck ## The stage This match is scheduled for Sun 24 May 2026, 16:30 UTC in the Pro League[^fact-1]. The timing anchors what should be a decisive domestic fixture with a high-profile finish to the week. ## Form & momentum Club Brugge enters on a run that reads DWWWW over the last 10 results, recorded as 8-1-1 (W-D-L) and delivering 2.50 points per game, while scoring 3.10 goals and conceding 1.00 per match in that span[^fact-4]. Gent, by contrast, have drifted to DDDLL in their last 10, a 1-6-3 record worth 0.90 points per game, with just 0.70 goals scored and 1.00 conceded per match[^fact-5]. Those on-pitch trajectories are amplified by a very large Elo gap: Club Brugge carry an Elo differential of +414 points after home advantage is applied[^fact-3]. The model quantifies that superiority into a clearest-of-clears match verdict — Home 67% / Draw 22% / Away 11% — a separation described by the model as high confidence and a 45 percentage-point gap to the nearest runner-up[^fact-2]. All signals point to Brugge having both the form and the underlying quality edge. ## Personnel Club Brugge’s attacking rhythm is currently driven by Christos Tzolis, who has contributed 4 goals and 6 assists in his last five appearances while posting an average rating of 8.54[^fact-6]. That level of direct goal involvement — ten goal contributions in five games — explains much of Brugge’s goalscoring spike in recent weeks[^fact-4][^fact-6]. Brugge will, however, be missing Raphael Onyedika through injury; he has logged 399 minutes in the recent run and his absence removes a midfield presence that has been part of that sequence[^fact-8]. Gent arrive with far less attacking punch; Wilfried Kanga’s last five appearances have produced 1 goal and 0 assists with an average rating of 6.63, reflecting the team’s bluntness in the final third[^fact-7][^fact-5]. Gent also lose Matties Volckaert to injury, a player who featured for 726 minutes in the recent run — his absence will matter given Gent’s limited goal output and reliance on cohesion to fashion chances[^fact-9]. ## Where the model sees value — top edges vs the market, with odds The model’s raw probability split is Home 67% / Draw 22% / Away 11%[^fact-2]. Markets analysed numbered 3 when comparing those model probabilities against traded prices[^fact-10]. That combination — a large Elo cushion of +414 at home, dominant recent attacking numbers for Brugge and an opponent producing 0.70 goals per game in form — is the core source of the model’s edge[^fact-3][^fact-4][^fact-5]. Because exact traded odds from the three markets are not embedded in the supplied facts, the clearest observable takeaway is directional: the model is substantially more bullish on a home outcome than the market universe examined, and it registers a material gap between Brugge and Gent across three independent market checks[^fact-2][^fact-10]. Use the model probabilities as the benchmark (67/22/11) when weighing market prices. ## Verdict The model leans decisively to the home side: Club Brugge are the clear favourites on form, underlying quality and recent attacking output, while Gent arrive blunt and depleted; the model’s 67% home probability reflects that multi-layered advantage[^fact-2][^fact-3][^fact-4][^fact-5][^fact-6]. ### Cited facts [^fact-1]: **Kickoff** — Sun 24 May 2026, 16:30 UTC — Pro League [^fact-2]: **Model verdict** — Home 67% / Draw 22% / Away 11% (source: model; confidence high, 45 pp gap to runner-up). [^fact-3]: **Elo edge** — BRU vs GNT — Elo differential +414 points (with home advantage applied). [^fact-4]: **BRU recent form** — DWWWW last 10: 8-1-1 (W-D-L), 2.50 PPG, 3.10 goals scored / 1.00 conceded per match. [^fact-5]: **GNT recent form** — DDDLL last 10: 1-6-3 (W-D-L), 0.90 PPG, 0.70 goals scored / 1.00 conceded per match. [^fact-6]: **BRU in-form player** — Christos Tzolis — 4 goals, 6 assists in last 5 appearances, avg rating 8.54. [^fact-7]: **GNT in-form player** — Wilfried Kanga — 1 goals, 0 assists in last 5 appearances, avg rating 6.63. [^fact-8]: **BRU key absence** — Raphael Onyedika out (injury), 399 minutes in recent run. [^fact-9]: **GNT key absence** — Matties Volckaert out (injury), 726 minutes in recent run. [^fact-10]: **Markets analysed** — 3 market(s) compared against the model. --- Methodology: . Canonical HTML: .