# Lyngby Boldklub vs Odense BK > Superliga · Kickoff Sun 30 Aug 2026, 12:00 UTC · [Canonical HTML](https://betsprinter.com/fixtures/38307) **Status:** Finished **Final score:** Lyngby Boldklub 1–1 Odense BK ## Model verdict - **Lyngby Boldklub win:** 23% - **Draw:** 17% - **Odense BK win:** 60% - **Source:** model ## Pre-match deep dive ### Away side strongly favoured as low-scoring market pops ## The stage A midweek Superliga fixture kicks off on Sun 30 Aug 2026 at 12:00 UTC, a time that compresses preparation windows and emphasises early match sharpness[^fact-1]. The model gives a clear travelling-side advantage with an away probability of 60%, a draw chance of 17% and a home chance of 23% (high confidence; 37 percentage-point gap to the runner-up) — the market shape here is decisively skewed[^fact-2]. ## Form & momentum Recent sequences suggest neither side is running freely, but the metrics tilt subtly for the visitors. Lyngby Boldklub have a LDLDL run in their last 10 matches, recorded as 2 wins, 3 draws and 5 defeats, producing 0.90 points per game, 1.20 goals scored and 1.80 conceded per match[^fact-4]. Odense BK’s last 10 are DLLWL (2-2-6), yielding 0.80 points per game, 1.10 goals scored and 1.40 conceded per match[^fact-5]. On Elo terms — with home advantage applied — Lyngby hold a narrow 24-point edge over Odense[^fact-3]. That divergence between Elo and the model’s match probability indicates contrasting signals: Elo modestly prefers the home side while the model, with a 37-point confidence cushion, prefers the away team[^fact-2][^fact-3]. The recent form numbers point to low-scoring, fragile defences on both sides, with Lyngby conceding more heavily on average but scoring fractionally more per game than Odense[^fact-4][^fact-5]. ## Personnel Lyngby’s most evident in-form outlet is Simon Colyn, who has contributed 1 goal and 1 assist in his last five appearances and carries an average match rating of 7.46 in that span[^fact-7]. For Odense, Fiete Arp has been the more consistent attacking threat recently, with 2 goals in his last three appearances and an average rating of 7.66[^fact-8]. Odense also face a notable personnel absence: Jona Niemiec is out injured and has logged 349 minutes in the recent run prior to this unavailability[^fact-9]. That minutes total frames Niemiec as a player who had a meaningful share of game time before the injury, and his absence removes a familiar option from Odense’s recent minutes[^fact-9]. ## Where the model sees value The clearest market discrepancy identified is on total goals. The model positions Under 2.5 goals at a 54% probability versus a Betfair market price of 2.45, creating an edge of 13.6 percentage points (high confidence)[^fact-6]. Given the low scoring rates shown by both sides — Lyngby 1.20 goals scored and 1.80 conceded per match; Odense 1.10 scored and 1.40 conceded per match — the model’s tilt toward under 2.5 is consistent with match-level expectations[^fact-4][^fact-5]. Across the markets analysed the model compared three markets against the public prices; the under 2.5 outcome produced the most sizeable and highest-confidence discrepancy[^fact-10][^fact-6]. That alignment between the underlying team scoring profiles and the model’s probability makes the under 2.5 projection the principal quantitative signal from the desk[^fact-4][^fact-5][^fact-6]. ## Verdict The model’s lean is toward the away side (60%) while simultaneously forecasting a low-scoring affair — the away probability sits well above the home and draw probabilities, and the clearest market edge is on under 2.5 goals where the model assigns 54% versus the market price at Betfair, a 13.6pp advantage[^fact-2][^fact-6]. Given recent form, the modest Elo home edge and the personnel notes on Colyn, Arp and Niemiec, the forecast favours an Odense outcome within a tight, low-scoring match context[^fact-3][^fact-4][^fact-5][^fact-7][^fact-8][^fact-9]. ### Cited facts [^fact-1]: **Kickoff** — Sun 30 Aug 2026, 12:00 UTC — Superliga [^fact-2]: **Model verdict** — Home 23% / Draw 17% / Away 60% (source: model; confidence high, 37 pp gap to runner-up). [^fact-3]: **Elo edge** — LBB vs ODE — Elo differential +24 points (with home advantage applied). [^fact-4]: **LBB recent form** — LDLDL last 10: 2-3-5 (W-D-L), 0.90 PPG, 1.20 goals scored / 1.80 conceded per match. [^fact-5]: **ODE recent form** — DLLWL last 10: 2-2-6 (W-D-L), 0.80 PPG, 1.10 goals scored / 1.40 conceded per match. [^fact-6]: **Value pick #1** — Under in Goals O/U 2.5 — model 54% vs market price 2.45 at Betfair, edge 13.6 pp (high confidence). [^fact-7]: **LBB in-form player** — Simon Colyn — 1 goals, 1 assists in last 5 appearances, avg rating 7.46. [^fact-8]: **ODE in-form player** — Fiete Arp — 2 goals, 0 assists in last 3 appearances, avg rating 7.66. [^fact-9]: **ODE key absence** — Jona Niemiec out (injury), 349 minutes in recent run. [^fact-10]: **Markets analysed** — 3 market(s) compared against the model. --- Methodology: . Canonical HTML: .