# Nordsjælland vs Randers FC > Superliga · Kickoff Sun 2 Aug 2026, 12:00 UTC · [Canonical HTML](https://betsprinter.com/fixtures/37312) **Status:** Finished **Final score:** Nordsjælland 1–0 Randers FC ## Model verdict - **Nordsjælland win:** 63% - **Draw:** 24% - **Randers FC win:** 13% - **Source:** model ## Pre-match deep dive ### Clear home advantage, low-scoring profile expected at kickoff ## The stage Sunday’s midday kick-off shapes as a chance for the home side to consolidate an early advantage in the Superliga, with the match scheduled for Sun 2 Aug 2026, 12:00 UTC. [^fact-1] ## Form & momentum Recent trends and ratings put the home team well ahead. The model gives the home side a 63% chance, a 24% probability of a draw and a 13% chance for the visitors — a wide margin that the model describes as high confidence and notes a 39 percentage-point gap to the runner-up outcome. [^fact-2] That sentiment is reflected in Elo: the home side carries a +276-point edge after home advantage is applied, a clear quality gulf on a rating scale where such a differential is meaningful. [^fact-3] Form snapshots underline the same story. The home side’s last 10 results read DWDDL (4-5-1), yielding 1.70 points per game with an average of 1.40 goals scored and 0.80 conceded per match — a profile of decent offensive output coupled with relative defensive solidity. [^fact-4] The visitors arrive on a poorer run: DLDWL (1-4-5) over 10, generating just 0.70 points per game and averaging 0.90 goals scored while conceding 2.10 per match — numbers that point to both scoring struggles and defensive fragility. [^fact-5] Taken together, model, Elo and form all tilt heavily toward a controlled home performance rather than an open, high-scoring contest. [^fact-2][^fact-3][^fact-4][^fact-5] ## Personnel The home side’s most noticeable in-form contributor is Runar Norheim, who has 2 goals and 1 assist in his last five appearances, posting an average rating of 6.90 across that span. [^fact-8] For the visitors, Elies Mahmoud stands out with 1 goal and 1 assist in his last five matches and an average rating of 7.12, a solitary bright spot in an otherwise struggling run. [^fact-9] Availability issues temper both squads. The home side will be without Alexander Lind due to injury; he logged 392 minutes in the recent run before missing out. [^fact-10] The visitors are also short-handed with Frederik Lauenborg sidelined through injury after contributing 156 minutes in the recent sequence. [^fact-11] Those absences reduce squad depth for each side, but the numerical context of the form and Elo gap suggests the home side is better placed to absorb its loss. [^fact-3][^fact-4][^fact-5][^fact-10][^fact-11] ## Where the model sees value The model identifies specific market edges where probability and price diverge. - No in Both Teams to Score: the model prices No BTTS at 66% versus a market price of 2.20 on Betfair — an edge of 20.7 percentage points flagged with high confidence. This aligns with the home side’s defensive concession rate (0.80 per match) and the visitors’ low scoring rate (0.90 per match), suggesting a single-team shutout is a likelier outcome than market odds imply. [^fact-6][^fact-4][^fact-5] - Under 2.5 goals: the model gives Under 2.5 goals a 52% probability versus a market price of 2.32 on Unibet, an 8.8 percentage-point edge noted with high confidence. The home side’s averages of 1.40 goals scored and 0.80 conceded per match, combined with the visitors’ 0.90 scored and 2.10 conceded, produce an expectation for a lower aggregate-scoring match than many markets anticipate. [^fact-7][^fact-4][^fact-5] Three market comparisons were analysed against the model to arrive at these conclusions; the two highlighted edges are the clearest divergences. [^fact-12][^fact-6][^fact-7] ## Verdict The model leans decisively to the home side: a 63% win probability framed by a +276 Elo edge and superior recent form points to a controlled home performance, with the clearest market value sitting on a lower-scoring profile — No BTTS and Under 2.5 goals — where the model’s probabilities materially outstrip quoted prices. [^fact-2][^fact-3][^fact-4][^fact-5][^fact-6][^fact-7] ### Cited facts [^fact-1]: **Kickoff** — Sun 2 Aug 2026, 12:00 UTC — Superliga [^fact-2]: **Model verdict** — Home 63% / Draw 24% / Away 13% (source: model; confidence high, 39 pp gap to runner-up). [^fact-3]: **Elo edge** — FCN vs RDF — Elo differential +276 points (with home advantage applied). [^fact-4]: **FCN recent form** — DWDDL last 10: 4-5-1 (W-D-L), 1.70 PPG, 1.40 goals scored / 0.80 conceded per match. [^fact-5]: **RDF recent form** — DLDWL last 10: 1-4-5 (W-D-L), 0.70 PPG, 0.90 goals scored / 2.10 conceded per match. [^fact-6]: **Value pick #1** — No in Both Teams to Score — model 66% vs market price 2.20 at Betfair, edge 20.7 pp (high confidence). [^fact-7]: **Value pick #2** — Under in Goals O/U 2.5 — model 52% vs market price 2.32 at Unibet, edge 8.8 pp (high confidence). [^fact-8]: **FCN in-form player** — Runar Norheim — 2 goals, 1 assists in last 5 appearances, avg rating 6.90. [^fact-9]: **RDF in-form player** — Elies Mahmoud — 1 goals, 1 assists in last 5 appearances, avg rating 7.12. [^fact-10]: **FCN key absence** — Alexander Lind out (injury), 392 minutes in recent run. [^fact-11]: **RDF key absence** — Frederik Lauenborg out (injury), 156 minutes in recent run. [^fact-12]: **Markets analysed** — 3 market(s) compared against the model. --- Methodology: . Canonical HTML: .