# Horsens vs Viborg FF > Superliga · Kickoff Fri 28 Aug 2026, 17:00 UTC · [Canonical HTML](https://betsprinter.com/fixtures/38299) **Status:** Scheduled ## Pre-match deep dive ### Momentum leans toward the sharper, steadier Superliga visitors ## The stage Friday’s kickoff is at 17:00 UTC in a Superliga fixture on 28 August 2026, a compact domestic slate where points early in the season carry oversized psychological weight[^fact-1]. The fixture sits clearly as a league encounter rather than a cup tie; the immediate objective for both sides will be to arrest slippage or consolidate upward momentum in the table[^fact-1]. ## Form & momentum Recent form lines draw a contrast. One side has recorded WWLLD across its last 10 outings, translating to a 2-2-6 W-D-L split and 0.80 points per game, with an output of 0.80 goals scored and 1.70 conceded per match[^fact-2]. The opponent has a cleaner set of returns: WWDLW in their last 10, a 4-2-4 W-D-L split yielding 1.40 points per game and a symmetric 1.30 goals scored and 1.30 conceded per match[^fact-3]. Those aggregated numbers paint a straightforward picture — the visitors are carrying more consistent results and better offensive production into this meeting, and they are also marginally tighter defensively when measured on goals conceded per match[^fact-2][^fact-3]. Form is not binary, but the balance of recent outcomes favours the side with the 4-2-4 run and the higher points-per-game figure, which implies a steadier base to lean on late in fixtures[^fact-3]. The other side’s underlying trend shows more volatility: fewer points per game and a higher goals-against rate, a combination that generally forces tactical conservatism or an increased reliance on individual moments to change games[^fact-2]. ## Personnel In-form contributors stand out for both teams. Yamirou Ouorou has directly influenced two goals in his last four appearances — one goal and one assist — and carries an average match rating of 6.86 across that span[^fact-4]. On the opposite flank of the pitch, Oliver Bundgaard has supplied two assists in his most recent quartet of matches, arriving with a higher average rating of 7.33 in that same sample[^fact-5]. Those are the players most clearly shaping their teams’ attacking thrusts over the short term[^fact-4][^fact-5]. Availability shifts also matter. One side will be without Omar Jarju due to injury, a named absence that removes an option from their matchday planning[^fact-6]. The other will miss Mads Søndergaard, who has featured for 227 minutes in the recent run and now sits out injured — a specific short-term workload that underlines his peripheral role before the absence but nonetheless subtracts depth from that squad[^fact-7]. Both absences force coach-level adjustments to personnel rotation and matchplans; the numerical detail attached to Søndergaard’s recent minutes is a reminder of how small margins in playing time can translate into selection questions[^fact-6][^fact-7]. ## Where the model sees value The data-driven edge is simple: prefer the side with the steadier recent record and superior points-per-game profile[^fact-3]. That team combines a higher PPG (1.40) with matched goals scored and conceded per match (1.30/1.30), a balance suggesting manageable risk in transition phases and a reasonable expectation of both attacking contribution and defensive solidity[^fact-3]. By contrast, the opponent’s 0.80 PPG and asymmetric goals line (0.80 scored, 1.70 conceded) flags both offensive scarcity and defensive vulnerability[^fact-2]. Where this translates into market edges without quoting market prices is tactical and probability-based: favour match outcomes that increase exposure to the side carrying higher PPG and more consistent form, and be cautious about market prices that overrate the home side purely on familiarity or short-term variance given the underlying goal-concession differential[^fact-2][^fact-3]. Pay specific attention to how each side is likely to replace the unavailable names — the absence of Omar Jarju removes an attacking option for one team, while the missing 227 minutes of recent action from Mads Søndergaard trims rotation depth for the other[^fact-6][^fact-7]. If market lines fail to penalise the team conceding 1.70 goals per match, that represents the clearest disconnect between form-derived probability and public price[^fact-2]. ## Verdict The model’s lean is toward the side with the more stable form and the higher points-per-game profile; the visitors’ 4-2-4 run and 1.40 PPG offer a clearer foundation than the hosts’ more fragile 2-2-6 sequence and 0.80 PPG, and the balance of goals scored and conceded reinforces that preference[^fact-3][^fact-2]. Yamirou Ouorou and Oliver Bundgaard are the short-term players most likely to tilt decisions in-play, while the listed injuries to Omar Jarju and Mads Søndergaard will shape bench usage and late-game substitutions[^fact-4][^fact-5][^fact-6][^fact-7]. ### Cited facts [^fact-1]: **Kickoff** — Fri 28 Aug 2026, 17:00 UTC — Superliga [^fact-2]: **ACH recent form** — WWLLD last 10: 2-2-6 (W-D-L), 0.80 PPG, 0.80 goals scored / 1.70 conceded per match. [^fact-3]: **VFF recent form** — WWDLW last 10: 4-2-4 (W-D-L), 1.40 PPG, 1.30 goals scored / 1.30 conceded per match. [^fact-4]: **ACH in-form player** — Yamirou Ouorou — 1 goals, 1 assists in last 4 appearances, avg rating 6.86. [^fact-5]: **VFF in-form player** — Oliver Bundgaard — 0 goals, 2 assists in last 4 appearances, avg rating 7.33. [^fact-6]: **ACH key absence** — Omar Jarju out (injury). [^fact-7]: **VFF key absence** — Mads Søndergaard out (injury), 227 minutes in recent run. --- Methodology: . Canonical HTML: .