# Lyngby Boldklub vs Sønderjyske Fodbold > Superliga · Kickoff Sun 13 Sep 2026, 12:00 UTC · [Canonical HTML](https://betsprinter.com/fixtures/38333) **Status:** Scheduled ## Pre-match deep dive ### Home advantage and a 92‑point Elo edge set clear expectations ## The stage Kickoff is scheduled for Sun 13 Sep 2026 at 12:00 UTC in a Superliga fixture that pits home routine against away despair[^fact-1]. The timing and competition matter: this is a domestic league match where marginal differences in form and personnel can swing outcomes quickly[^fact-1]. ## Form & momentum Lyngby arrive with a mixed run: WDLDL in their last 10 games, recorded as 2 wins, 3 draws and 5 defeats, producing 0.90 points per game and an output of 1.30 goals scored while conceding 1.90 per match[^fact-4]. Sønderjyske’s recent sequence reads LLLLD over the same window — 1 win, 1 draw and 8 losses — delivering only 0.40 points per game, with 1.00 goals scored and a leakier 2.40 conceded per match[^fact-5]. The simple arithmetic of results and goal returns points to Lyngby carrying a clearer edge in form; that is reinforced by the Elo differential, where Lyngby sit +92 Elo points with home advantage applied[^fact-3]. Those two signals — form metrics and Elo — both tilt the expectation toward the hosts[^fact-3][^fact-4][^fact-5]. ## Personnel Lyngby’s most notable recent attacking influence is Ísak Snær Thorvaldsson, who has 2 goals and 1 assist in his last 4 appearances and an average match rating of 7.28 across those games[^fact-6]. Sønderjyske’s most in-form listed contributor is Maxime Soulas, who has provided 1 assist in his last 4 appearances with an average rating of 7.17 in that span[^fact-7]. The single heavy absence explicitly reported is Sønderjyske defender Daníel Leó Grétarsson, sidelined by injury after contributing 500 minutes in the recent run — his absence removes a familiar defensive minute load for the visitors[^fact-8]. Those personnel signals combine into a straightforward read: Lyngby possess the sharper recent attacking performer, while Sønderjyske must adjust defensively for a player who logged significant minutes before his injury[^fact-6][^fact-7][^fact-8]. ## Where the model sees value The model-derived market verdict gives Lyngby a 55% probability, a draw 24% and Sønderjyske 21%[^fact-2]. That distribution carries a 31 percentage-point gap between the model pick and the nearest runner-up, a margin the model describes with high confidence[^fact-2]. Three external markets were compared against this model to find divergence opportunities[^fact-9]. The clearest structural edge is the difference between the model’s 55% home probability and market-implied backing in at least one of the surveyed markets — the model’s high-confidence home lean sits against multiple market lines in the analysed set[^fact-2][^fact-9]. Another systematic observation is that the model’s alignment with a substantial Elo advantage (+92) amplifies the home-side signal, particularly when market prices underweight that Elo gap[^fact-3][^fact-2][^fact-9]. Finally, personnel context matters for market evaluation: Lyngby’s in-form forward with two goals and an assist in four and Sønderjyske’s absence of a 500‑minute defender create an expectation of marginally higher attacking returns for the hosts that the model already prices in[^fact-6][^fact-8][^fact-2]. These are the primary edges highlighted when the model was run against the three markets analysed[^fact-9][^fact-2]. ## Verdict The model leans to the home side: Lyngby 55% / Draw 24% / Sønderjyske 21% — a clear, confidence-backed home preference reinforced by a +92 Elo edge, cleaner recent form, an in-form attacking outlet for Lyngby, and a significant defensive absence for Sønderjyske[^fact-2][^fact-3][^fact-4][^fact-6][^fact-8]. ### Cited facts [^fact-1]: **Kickoff** — Sun 13 Sep 2026, 12:00 UTC — Superliga [^fact-2]: **Model verdict** — Home 55% / Draw 24% / Away 21% (source: odds; confidence high, 31 pp gap to runner-up). [^fact-3]: **Elo edge** — LBB vs SON — Elo differential +92 points (with home advantage applied). [^fact-4]: **LBB recent form** — WDLDL last 10: 2-3-5 (W-D-L), 0.90 PPG, 1.30 goals scored / 1.90 conceded per match. [^fact-5]: **SON recent form** — LLLLD last 10: 1-1-8 (W-D-L), 0.40 PPG, 1.00 goals scored / 2.40 conceded per match. [^fact-6]: **LBB in-form player** — Ísak Snær Thorvaldsson — 2 goals, 1 assists in last 4 appearances, avg rating 7.28. [^fact-7]: **SON in-form player** — Maxime Soulas — 0 goals, 1 assists in last 4 appearances, avg rating 7.17. [^fact-8]: **SON key absence** — Daníel Leó Grétarsson  out (injury), 500 minutes in recent run. [^fact-9]: **Markets analysed** — 3 market(s) compared against the model. --- Methodology: . Canonical HTML: .