# Brøndby IF vs FC København > Superliga · Kickoff Thu 21 May 2026, 16:30 UTC · [Canonical HTML](https://betsprinter.com/fixtures/36959) **Status:** Finished **Final score:** Brøndby IF 1–3 FC København ## Model verdict - **Brøndby IF win:** 59% - **Draw:** 24% - **FC København win:** 16% - **Source:** model ## Pre-match deep dive ### Model leans home as Copenhagen’s firepower meets Brøndby resilience ## The stage This is a Superliga fixture kicking off Thu 21 May 2026 at 16:30 UTC[^fact-1]. The game sits as a standard domestic league match with clear implications for the table, and timing means both sides arrive with recent form lines that demand close scrutiny[^fact-1]. ## Form & momentum The model gives the home side the clear edge: Home 59% / Draw 24% / Away 16%[^fact-2]. That assessment comes with an applied Elo advantage for the hosts, a +25-point differential after home advantage is accounted for[^fact-3]. Recent outputs underline a contrast in trajectories. Brøndby’s last 10 matches read WLDLW — 3 wins, 2 draws, 5 defeats — producing 1.10 points per game, scoring 1.30 and conceding 1.30 on average per match[^fact-4]. Copenhagen’s recent run is markedly hotter: WWDWW — 7 wins, 1 draw, 2 defeats over 10 — delivering 2.20 points per game, averaging 3.20 goals scored and 1.00 conceded per match[^fact-5]. The numbers frame this as a clash between a side on the ascendancy in attack and a home team whose season-level output has been pedestrian. ## Personnel Focus players sit on opposite trends. Brøndby’s Mayckel Lahdo arrives with tangible attacking form: 1 goal and 2 assists in his last 3 appearances, and an average match rating of 7.25[^fact-9]. For Copenhagen, Jordan Larsson is driving the red-hot offensive numbers — 5 goals and 3 assists in his last 5 appearances, average rating 8.02[^fact-10]. Availability issues matter: Brøndby will be without Ben Godfrey through injury, a player who accounted for 557 minutes in the recent run[^fact-11]. Copenhagen are missing Mohamed Elyounoussi to injury as well, a player who logged 764 minutes in the recent sequence[^fact-12]. Those absences remove minutes and specific profiles from each side’s setup, and they should factor into how both managers balance risk and structure on matchday[^fact-11][^fact-12]. ## Where the model sees value Three edges stand out when the model is compared to market quotes across the analysed markets[^fact-13]. First, the clearest discrepancy is the Match Winner market where the model allocates Home 47% against a market price of 3.35 at Unibet — an implied market probability materially lower than the model’s; the stated edge is 17.5 percentage points (high confidence)[^fact-6]. Second, the model prefers fewer goals: Under 2.5 goals is 59% by the model versus a market quote of 2.04 at Unibet, giving an edge of 10.1 percentage points (high confidence)[^fact-7]. Third, the model favours “No” on Both Teams to Score at 52% versus a market price of 2.23 at Unibet, representing a 7.0 pp edge (mid confidence)[^fact-8]. These three value calls are coherent with one another. The home-match probability edge combines with a compact defensive profile from the hosts (1.30 conceded per match in the recent run) to justify the model’s tilt toward low-scoring outcomes[^fact-4]. Copenhagen’s high goal output (3.20 per match in the recent run) complicates that picture, but the model still sees under 2.5 and BTTS=No edges materializing despite Copenhagen’s scoring form[^fact-5][^fact-7][^fact-8]. The market comparison covers three markets, and these are the lines where the model’s probabilities and bookmakers’ odds diverge most strongly[^fact-13]. ## Verdict The model’s lean is toward the hosts: a Home probability of 59% sits well ahead of Draw and Away at 24% and 16% respectively, with a 35-percentage-point gap to the runner-up and the highest-confidence signal in the forecast[^fact-2]. Given the Elo tilt in Brøndby’s favour and the specific market edges identified, the cleanest narrative is a tight game where Brøndby’s situational edge and departures on both sides push outcomes toward a low-scoring home result[^fact-3][^fact-4][^fact-5][^fact-6][^fact-7][^fact-8]. ### Cited facts [^fact-1]: **Kickoff** — Thu 21 May 2026, 16:30 UTC — Superliga [^fact-2]: **Model verdict** — Home 59% / Draw 24% / Away 16% (source: model; confidence high, 35 pp gap to runner-up). [^fact-3]: **Elo edge** — BIF vs COP — Elo differential +25 points (with home advantage applied). [^fact-4]: **BIF recent form** — WLDLW last 10: 3-2-5 (W-D-L), 1.10 PPG, 1.30 goals scored / 1.30 conceded per match. [^fact-5]: **COP recent form** — WWDWW last 10: 7-1-2 (W-D-L), 2.20 PPG, 3.20 goals scored / 1.00 conceded per match. [^fact-6]: **Value pick #1** — Home in Match Winner — model 47% vs market price 3.35 at Unibet, edge 17.5 pp (high confidence). [^fact-7]: **Value pick #2** — Under in Goals O/U 2.5 — model 59% vs market price 2.04 at Unibet, edge 10.1 pp (high confidence). [^fact-8]: **Value pick #3** — No in Both Teams to Score — model 52% vs market price 2.23 at Unibet, edge 7.0 pp (mid confidence). [^fact-9]: **BIF in-form player** — Mayckel Lahdo — 1 goals, 2 assists in last 3 appearances, avg rating 7.25. [^fact-10]: **COP in-form player** — Jordan Larsson — 5 goals, 3 assists in last 5 appearances, avg rating 8.02. [^fact-11]: **BIF key absence** — Ben Godfrey out (injury), 557 minutes in recent run. [^fact-12]: **COP key absence** — Mohamed Elyounoussi out (injury), 764 minutes in recent run. [^fact-13]: **Markets analysed** — 3 market(s) compared against the model. --- Methodology: . Canonical HTML: .