# Brøndby IF vs Viborg FF > Superliga · Kickoff Sun 2 Aug 2026, 14:00 UTC · [Canonical HTML](https://betsprinter.com/fixtures/37319) **Status:** Scheduled ## Model verdict - **Brøndby IF win:** 49% - **Draw:** 23% - **Viborg FF win:** 29% - **Source:** model ## Top published picks | Market | Selection | Best odds | Bookmaker | Model % | Edge | | --- | --- | ---: | --- | ---: | ---: | | totals | Under | 2.25 | Betfair | 69% | +24.9 pp | | btts | No | 2.38 | Betfair | 61% | +18.8 pp | ## Pre-match deep dive ### Tight, low-scoring game expected after big Elo edge ## The stage Sunday's Superliga fixture kicks off at 14:00 UTC on 2 August 2026 and brings a standard-season league meeting to the calendar[^fact-1]. The model ranks the home side as the favourite but sees a close game: home 49% / draw 23% / away 29%[^fact-2]. ## Form & momentum Recent form for both sides looks near-identical on paper. Brøndby IF have the sequence DLWLD across their last ten matches — a 3-2-5 (W-D-L) split yielding 1.10 points per game, with 1.50 goals scored and 1.60 conceded per match[^fact-4]. Viborg FF arrive with WLLDW across ten — also 3-2-5 (W-D-L), 1.10 points per game, but with 1.20 goals scored and 1.60 conceded per match[^fact-5]. The quantitative edge tilts to the home side when Elo and home advantage are combined: Brøndby carry a +101 Elo differential over Viborg in the model's accounting[^fact-3]. That Elo cushion appears to explain why the model favours the hosts despite near-identical recent raw form numbers[^fact-4][^fact-5]. ## Personnel Brøndby’s most notable in-form contributor in recent games is Bartosz Slisz, who has 1 goal and 1 assist in his last five appearances and an average rating of 7.14 in that span[^fact-8]. Viborg’s leading short-term attacking influence is Thomas Jørgensen, with 2 goals and a 7.59 average rating across his last five matches[^fact-9]. Availability questions matter: Brøndby will be without Rasmus Lauritsen due to injury; Lauritsen has 1 minute in the recent run before that absence is recorded[^fact-10]. Viborg are missing Mads Søndergaard to injury as well; Søndergaard logged 342 minutes in the recent run prior to being ruled out[^fact-11]. These absences remove familiar minutes but the supplied facts do not specify positional replacements, so the analytical focus stays on the observed output of the teams rather than guessed tactical shifts[^fact-10][^fact-11]. ## Where the model sees value Three market lines were compared against the model in this analysis[^fact-12]. Two standout edges are both focused on a low-scoring profile: - Under 2.5 goals is the top value proposition: the model assigns a 69% probability to under 2.5 goals versus a market-implied price at Betfair of 2.25, producing an edge of 24.9 percentage points (high confidence)[^fact-6][^fact-12]. - No on Both Teams to Score (BTTS No) is the second value angle: the model gives BTTS No a 61% probability against a Betfair market price of 2.38, an edge of 18.8 percentage points (high confidence)[^fact-7][^fact-12]. Both edges are consistent with the teams' recent goals data: Brøndby average 1.50 goals scored and 1.60 conceded per match over the last ten[^fact-4], while Viborg average 1.20 scored and 1.60 conceded per match over the same span[^fact-5]. Those goal rates combine with the model’s strong probabilities to favour a match that stays under the 2.5 threshold and where one side fails to score. The Elo differential favouring the home side (+101) frames the contest as one where the hosts are more likely to control the match without necessarily turning that control into an open, high-scoring affair[^fact-3]. ## Verdict The model leans to the home side but expects a tight game: home 49% / draw 23% / away 29%[^fact-2]. The clearest quantitative signals point to a lower-scoring outcome — Under 2.5 goals (69%) and BTTS No (61%) — supported by similar recent defensive concession rates for both teams and the model's market edges on these lines[^fact-6][^fact-7][^fact-4][^fact-5][^fact-12]. ### Cited facts [^fact-1]: **Kickoff** — Sun 2 Aug 2026, 14:00 UTC — Superliga [^fact-2]: **Model verdict** — Home 49% / Draw 23% / Away 29% (source: model; confidence high, 20 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: .