# Brøndby IF vs Viborg FF > Superliga · Kickoff Sun 2 Aug 2026, 14:00 UTC · [Canonical HTML](https://betsprinter.com/fixtures/37319) **Status:** Finished **Final score:** Brøndby IF 1–0 Viborg FF ## Model verdict - **Brøndby IF win:** 61% - **Draw:** 23% - **Viborg FF win:** 16% - **Source:** model ## Pre-match deep dive ### Home edge and low-scoring profile set the match tone ## The stage This Superliga fixture kicks off on Sun 2 Aug 2026 at 14:00 UTC, a midday slot that usually compresses play into two intense 45‑minute blocks[^fact-1]. The model gives the home side the narrow overall advantage: Home 53% / Draw 25% / Away 22%[^fact-2]. That market‑style split frames the game as close but tilted toward the hosts rather than a one‑sided affair[^fact-2]. ## Form & momentum Form lines for both teams are remarkably similar over the last 10 matches: Brøndby IF register DLWLD, 3 wins, 2 draws, 5 defeats, yielding 1.10 points per game with 1.50 goals scored and 1.60 conceded per match[^fact-4]; Viborg FF show WLLDW, the same 3-2-5 record and 1.10 PPG, but with 1.20 goals scored and the identical 1.60 conceded per match[^fact-5]. Those numbers describe two midtable outfits trading inconsistent runs rather than one side on a long ascendancy[^fact-4][^fact-5]. Elo paints a clearer home tilt: with home advantage applied Brøndby hold a +101‑point edge on Viborg[^fact-3]. That magnitude of Elo gap usually translates into a single‑goal expected difference on a neutral scale and explains why the model’s probabilities still favour the hosts despite near‑identical recent results[^fact-2][^fact-3]. ## Personnel Brøndby’s most in‑form attacking contributor in the short sample is Bartosz Slisz, who has 1 goal and 1 assist in his last five appearances and an average rating of 7.14[^fact-8]. That productive patch helps cover for the defensive blow of Rasmus Lauritsen being unavailable through injury; Lauritsen has 1 minute in the recent run before the absence was recorded[^fact-10]. The tiny minute total suggests he has been absent for the stretch described in the form numbers[^fact-10][^fact-4]. Viborg’s standout individual in the same window is Thomas Jørgensen: 2 goals in his last five matches and an average rating of 7.59[^fact-9]. Viborg will also be missing Mads Søndergaard to injury; Søndergaard featured for 342 minutes in the recent run before his absence took effect[^fact-11]. That literal minutes figure shows Søndergaard was a regular contributor until he was ruled out[^fact-11][^fact-5]. No claim is made here about tactical changes because the supplied facts do not include manager plans or formations; the personnel items above are the only confirmed availability and recent‑form inputs[^fact-8][^fact-9][^fact-10][^fact-11]. ## Where the model sees value The model identifies two clear market edges when compared with the available betting prices across three markets analysed[^fact-12]. First, the model strongly favours the Under 2.5 goals market: it assigns Under 2.5 a 69% probability versus the Betfair market price of 2.25, an edge of 24.9 percentage points (high confidence)[^fact-6]. Second, the model ranks “No” on Both Teams to Score at 61% probability against a Betfair price of 2.38, an 18.8‑point edge (also high confidence)[^fact-7]. Those two stances are consistent with the teams’ goal metrics: both sides sit on a identical 1.60 goals conceded per match in the recent sample, while Brøndby average 1.50 scored and Viborg 1.20 scored per game over the same window[^fact-4][^fact-5]. Combining modest scoring rates with identical concessions helps explain why the model tilts heavily toward a low‑scoring outcome and a significant chance that one side keeps a clean sheet[^fact-6][^fact-7]. ## Verdict The model leans to the home side but treats this as a narrow advantage: Home 53% / Draw 25% / Away 22%[^fact-2], with an underlying Elo edge of +101 points for Brøndby after accounting for home advantage[^fact-3]. The clearest quantitative signals are for a low‑scoring contest: Under 2.5 and No on Both Teams to Score carry the largest model‑market divergences and are presented with high confidence[^fact-6][^fact-7][^fact-12]. ### Cited facts [^fact-1]: **Kickoff** — Sun 2 Aug 2026, 14:00 UTC — Superliga [^fact-2]: **Model verdict** — Home 53% / Draw 25% / Away 22% (source: model; confidence high, 28 pp gap to runner-up). [^fact-3]: **Elo edge** — BIF vs VFF — Elo differential +101 points (with home advantage applied). [^fact-4]: **BIF recent form** — DLWLD last 10: 3-2-5 (W-D-L), 1.10 PPG, 1.50 goals scored / 1.60 conceded per match. [^fact-5]: **VFF recent form** — WLLDW last 10: 3-2-5 (W-D-L), 1.10 PPG, 1.20 goals scored / 1.60 conceded per match. [^fact-6]: **Value pick #1** — Under in Goals O/U 2.5 — model 69% vs market price 2.25 at Betfair, edge 24.9 pp (high confidence). [^fact-7]: **Value pick #2** — No in Both Teams to Score — model 61% vs market price 2.38 at Betfair, edge 18.8 pp (high confidence). [^fact-8]: **BIF in-form player** — Bartosz Slisz — 1 goals, 1 assists in last 5 appearances, avg rating 7.14. [^fact-9]: **VFF in-form player** — Thomas Jørgensen — 2 goals, 0 assists in last 5 appearances, avg rating 7.59. [^fact-10]: **BIF key absence** — Rasmus Lauritsen out (injury), 1 minutes in recent run. [^fact-11]: **VFF key absence** — Mads Søndergaard out (injury), 342 minutes in recent run. [^fact-12]: **Markets analysed** — 3 market(s) compared against the model. --- Methodology: . Canonical HTML: .