# Horsens vs Brøndby IF > Superliga · Kickoff Sun 9 Aug 2026, 16:00 UTC · [Canonical HTML](https://betsprinter.com/fixtures/37721) **Status:** Scheduled ## Model verdict - **Horsens win:** 11% - **Draw:** 18% - **Brøndby IF win:** 70% - **Source:** model ## Top published picks | Market | Selection | Best odds | Bookmaker | Model % | Edge | | --- | --- | ---: | --- | ---: | ---: | | h2h | Away | 1.76 | Pinnacle | 70% | +13.6 pp | | totals | Under | 2.02 | Unibet | 54% | +4.9 pp | ## Pre-match deep dive ### Model leans heavily to the visitors as odds underprice Brøndby ## The stage A Superliga fixture scheduled for Sun 9 Aug 2026, 16:00 UTC sets Horsens at home against Brøndby IF[^fact-1]. On paper this is a straightforward top-versus-bottom evaluation for the model, which assigns a clear probability split to the three-way outcome[^fact-2]. ## Form & momentum Recent results draw a sharp contrast. Horsens arrive on a run of LDDLL across their last 10 matches — 0 wins, 3 draws, 7 losses — producing 0.30 points per game and averaging 0.70 goals scored while conceding 1.90 per match[^fact-4]. Brøndby’s recent sequence reads WDLWL in their last 10 — 4 wins, 2 draws, 4 losses — with 1.40 points per game, 1.50 goals scored and 1.40 conceded per match[^fact-5]. Quantitatively the underlying strength gap is sizeable: the Elo differential after applying home advantage sits at -139 points for Horsens versus Brøndby, signalling a measurable superiority for the visitors in head-to-head rating terms[^fact-3]. The model’s posterior mirrors that gap strongly — Home 11%, Draw 18%, Away 70% — and the model flags a high-confidence margin of 52 percentage points to the nearest runner-up, underlining how decisive the projection is[^fact-2]. On form alone, Brøndby’s better points-per-game and healthier goal balance point to more consistent outcomes; Horsens’ numbers expose both scoring shortfalls and defensive leakage that the visitors are likely to test[^fact-4][^fact-5]. The Elo gap corroborates the trend-based evidence rather than contradicting it[^fact-3]. ## Personnel Horsens’ most notable in-form player identified in the supplied facts is Anders Jacobsen, who has contributed 0 goals and 1 assist across his last 3 appearances and carries an average rating of 7.04 in that period[^fact-8]. Brøndby’s current form spotlight lands on Luis Binks, who has 1 goal and 1 assist in his last 5 appearances and an average rating of 7.08[^fact-9]. Both profiles suggest useful recent contributions, but neither indicates a single individual should be expected to carry a struggling side alone[^fact-8][^fact-9]. In availability terms, Horsens will be without Omar Jarju due to injury, a named absence from their matchday considerations[^fact-10]. Brøndby also face a key injury absence with Marko Divkovic out; the facts note his recent involvement totalled 576 minutes in the run prior to this absence, which contextualises the scale of the loss for the visitors[^fact-11]. Neither injury detail changes the broad model stance, but they are the heaviest confirmed personnel notes for each side[^fact-10][^fact-11]. ## Where the model sees value Three markets were analysed against the model in the supplied comparison set, and two clear edges emerge from those comparisons[^fact-12]. - Match winner — Away: The model assigns a 70% probability to an away victory while the market price at Pinnacle sits at 1.76, producing an implied mismatch of roughly 13.6 percentage points in favour of the model’s projection (high confidence)[^fact-6]. That gap is the largest single edge flagged by the model versus the markets in the supplied facts[^fact-6]. - Goals O/U 2.5 — Under: The model gives the under 2.5 goals a 54% probability while Unibet shows odds translating to an implied probability around the 49–50% band (market price 2.02), yielding a 4.9 percentage-point edge (mid confidence)[^fact-7]. Given the contrasting defensive and attacking numbers — Horsens’ low scoring and Brøndby’s moderate defensive record — the model’s slight preference for under aligns with the raw per-game averages provided in the form lines[^fact-4][^fact-5][^fact-7]. Those are the two value flags called out by the model within the three markets compared in the facts set; the away win is the dominant discrepancy by a material margin[^fact-12][^fact-6][^fact-7]. ## Verdict The model leans decisively toward an away win: 70% probability for Brøndby versus 11% for Horsens and 18% for a draw, supported by a -139 Elo gap with home advantage applied and by contrasting form metrics that show Horsens struggling both to score and to keep opponents out[^fact-2][^fact-3][^fact-4][^fact-5]. The clearest market inefficiency identified in the supplied analysis is the away match-winner price at Pinnacle, where the model records its largest edge against the market, while a smaller edge exists for under 2.5 goals at Unibet[^fact-6][^fact-7][^fact-12]. ### Cited facts [^fact-1]: **Kickoff** — Sun 9 Aug 2026, 16:00 UTC — Superliga [^fact-2]: **Model verdict** — Home 11% / Draw 18% / Away 70% (source: model; confidence high, 52 pp gap to runner-up). [^fact-3]: **Elo edge** — ACH vs BIF — Elo differential -139 points (with home advantage applied). [^fact-4]: **ACH recent form** — LDDLL last 10: 0-3-7 (W-D-L), 0.30 PPG, 0.70 goals scored / 1.90 conceded per match. [^fact-5]: **BIF recent form** — WDLWL last 10: 4-2-4 (W-D-L), 1.40 PPG, 1.50 goals scored / 1.40 conceded per match. [^fact-6]: **Value pick #1** — Away in Match Winner — model 70% vs market price 1.76 at Pinnacle, edge 13.6 pp (high confidence). [^fact-7]: **Value pick #2** — Under in Goals O/U 2.5 — model 54% vs market price 2.02 at Unibet, edge 4.9 pp (mid confidence). [^fact-8]: **ACH in-form player** — Anders Jacobsen — 0 goals, 1 assists in last 3 appearances, avg rating 7.04. [^fact-9]: **BIF in-form player** — Luis Binks — 1 goals, 1 assists in last 5 appearances, avg rating 7.08. [^fact-10]: **ACH key absence** — Omar Jarju out (injury). [^fact-11]: **BIF key absence** — Marko Divkovic out (injury), 576 minutes in recent run. [^fact-12]: **Markets analysed** — 3 market(s) compared against the model. --- Methodology: . Canonical HTML: .