# Lommel SK vs Sporting Charleroi > Pro League · Kickoff Sun 16 Aug 2026, 17:15 UTC · [Canonical HTML](https://betsprinter.com/fixtures/37889) **Status:** Scheduled ## Model verdict - **Lommel SK win:** 29% - **Draw:** 52% - **Sporting Charleroi win:** 19% - **Source:** model ## Pre-match deep dive ### Evenly Poised clash with tiny Elo nudge towards Lommel ## The stage This Pro League fixture kicks off on Sun 16 Aug 2026 at 17:15 UTC, a late‑afternoon match that sits early in the domestic calendar[^fact-1]. The schedule places pressure on both sides to start the campaign with momentum; the model treats the three possible results as almost perfectly level coming into kickoff[^fact-2]. ## Form & momentum The model’s bottom line is blunt: Home 33% / Draw 33% / Away 33%, a triadic dead heat with low confidence — no gap to the runner‑up probability[^fact-2]. The only measurable edge in the numbers comes from an Elo differential of +41 points in the home side’s favour once home advantage is applied[^fact-3], which suggests a slight structural edge for the hosts despite the model’s indifference. On the away side, recent form reads LWDLW across the last 10 outings, a sequence that translates to a 5-2-3 W‑D‑L split and 1.70 points per game; Sporting Charleroi are averaging 1.30 goals scored and 0.90 conceded per match in that run[^fact-4]. Those numbers imply a side that is efficient — outscoring opponents by a margin while keeping the goals conceded figure under one — a useful profile in tightly poised matches[^fact-4]. ## Personnel Sporting Charleroi’s in‑form contributor to watch in the available data is Kevin Van Den Kerkhof, who has contributed 1 goal and 1 assist in his last five appearances and holds an average match rating of 6.87 across that period[^fact-5]. That profile is the clearest on‑field indicator in the supplied facts for a player who can move the needle attacking or in transition[^fact-5]. The most consequential absence explicitly noted is Yassine Titraoui, who is out injured after accumulating 447 minutes in the recent run before his absence was recorded[^fact-6]. That missing minute total indicates Titraoui had been a regular in the period under review and his unavailability represents the principal personnel loss identified in the dataset[^fact-6]. No further individual absences or home‑side injuries are supplied in the facts, so rostering questions beyond the two named players remain unspecified in the available model inputs. ## Where the model sees value The model returns an equilibrium pricing: three identical 33% probabilities for home, draw and away, flagged with low confidence and a 0 percentage‑point gap to the next outcome[^fact-2]. The markets compared against the model amount to two distinct markets analysed by the model[^fact-7], but the supplied facts do not include the markets’ quoted prices, so direct price comparisons cannot be precisely reconstructed here[^fact-7]. What can be stated from the facts: the lone systematic advantage in the quantitative inputs is a +41 Elo point tilt toward the hosts once home advantage is applied, which is the model’s only structural nudge away from perfect symmetry[^fact-3]. Sporting Charleroi’s recent statistical profile — 1.70 PPG and a positive goal differential driven by 1.30 goals scored and 0.90 conceded per match — explains why the model refuses to downgrade the visitors despite the Elo tilt[^fact-4]. Given the parity in model probabilities and the limited market data supplied (two markets analysed), the clearest source of potential edge would come from market prices that diverge meaningfully from the model’s flat distribution or that ignore the small Elo advantage for the hosts[^fact-2][^fact-3][^fact-7]. Without the markets’ odds in the supplied facts, assessment of specific market value cannot be certified here[^fact-7]. ## Verdict The model leans toward a completely even outcome set — 33% each — with a low‑confidence signal and a lone analytical nudge: an Elo advantage of +41 points for the home side once home advantage is applied[^fact-2][^fact-3]. Sporting Charleroi’s recent form and tight goals profile keep the matchup balanced despite that Elo edge[^fact-4], while Kevin Van Den Kerkhof’s recent contributions and the absence of Yassine Titraoui are the clearest single‑player facts to factor into match planning[^fact-5][^fact-6]. Market comparisons were limited to two markets in the model’s review, and those market quotes would be the decisive input to convert this dead heat into a betting stance[^fact-7]. ### Cited facts [^fact-1]: **Kickoff** — Sun 16 Aug 2026, 17:15 UTC — Pro League [^fact-2]: **Model verdict** — Home 33% / Draw 33% / Away 33% (source: model; confidence low, 0 pp gap to runner-up). [^fact-3]: **Elo edge** — LSK vs SPC — Elo differential +41 points (with home advantage applied). [^fact-4]: **SPC recent form** — LWDLW last 10: 5-2-3 (W-D-L), 1.70 PPG, 1.30 goals scored / 0.90 conceded per match. [^fact-5]: **SPC in-form player** — Kevin Van Den Kerkhof — 1 goals, 1 assists in last 5 appearances, avg rating 6.87. [^fact-6]: **SPC key absence** — Yassine Titraoui out (injury), 447 minutes in recent run. [^fact-7]: **Markets analysed** — 2 market(s) compared against the model. --- Methodology: . Canonical HTML: .