# Luzern vs Thun > Super League · Kickoff Sat 25 Jul 2026, 18:30 UTC · [Canonical HTML](https://betsprinter.com/fixtures/37251) **Status:** Finished **Final score:** Luzern 1–3 Thun ## Model verdict - **Luzern win:** 37% - **Draw:** 21% - **Thun win:** 42% - **Source:** model ## Pre-match deep dive ### Luzern favourites on paper, but model tilts toward an away upset ## The stage This is a Super League fixture kicking off Sat 25 Jul 2026 at 18:30 UTC; Luzern are the nominal hosts against Thun[^fact-1][^fact-3]. The match lands early in the season calendar and carries standard league importance: three points that will register straight into each side’s table trajectory for the opening run[^fact-1]. ## Form & momentum Recent form draws a clear contrast. Luzern’s last ten read WWDWW, which equates to a 6-2-2 record (W-D-L) and around 2.00 points per game; that run has produced 2.20 goals scored and 1.30 conceded per match[^fact-4]. Thun arrive in much rougher shape: their last ten show DLLLL, a 3-1-6 record and roughly 1.00 point per game, with 1.60 goals scored and 2.10 conceded per match[^fact-5]. Elo still gives Luzern the edge when home advantage is applied — a +76-point differential — a substantial structural superiority on the ratings board[^fact-3]. Despite that Elo gap, the model probabilities tell a slightly different story: the model gives home 37%, draw 21% and away 42%, with the model signalling a low confidence margin (5 percentage points to the runner-up) on that verdict[^fact-2]. The juxtaposition is clear: historical-strength and current attacking output favour Luzern, while the probabilistic model currently leans toward an away result, albeit with low confidence[^fact-3][^fact-2][^fact-4][^fact-5]. ## Personnel Luzern’s most dangerous recent outlet is Oscar Kabwit, who has four goals and one assist in his last five appearances and carries an average match rating of 7.64 over that span[^fact-8]. That scoring spike explains much of Luzern’s elevated goals-per-game figure[^fact-4][^fact-8]. Luzern will be without Bung Meng Freimann through suspension; Freimann logged 736 minutes in the recent run and his absence removes a regular contributor from the options available to the home side[^fact-10]. Thun’s notable contributor in the supplied facts is Michael Heule, who produced one goal and one assist across his last four appearances with an average rating of 6.89[^fact-9]. Heule is listed as out with injury and had contributed 810 minutes in the recent run; losing that type of minutes and form player shapes Thun’s attacking profile for the match[^fact-11][^fact-9]. Both sides therefore face meaningful personnel shifts: Luzern missing a regular through suspension and Thun missing their recent in-form creator through injury[^fact-10][^fact-11]. ## Where the model sees value Markets were analysed across three lines against the model[^fact-12], and two clear edges stand out with high model confidence. - Over 2.5 goals: the model assigns an 83% probability to more than 2.5 goals, versus the market price shown at 1.44 on bet365, an edge of 13.3 percentage points in the model’s view (high confidence)[^fact-6]. That aligns with Luzern’s 2.20 goals scored per match in the recent run and Thun’s 1.60, which together provide the raw scoring ingredients even if Thun have conceded at 2.10 per match[^fact-4][^fact-5][^fact-6]. - Both teams to score (BTTS): the model gives an 80% chance of both teams finding the net, while the market price at bet365 sits at 1.40 — a 9.1 percentage-point edge for the model (high confidence)[^fact-7]. The recent per-match goals and concessions for both sides support the plausibility of BTTS: Luzern scoring and conceding at healthy rates, and Thun scoring enough to trouble defences despite their poorer results[^fact-4][^fact-5][^fact-7]. These two value observations come with high model confidence and are consistent with the match-level dynamics implied by the supplied attacking and defensive metrics[^fact-6][^fact-7]. The markets compared included three items versus the model’s probabilities[^fact-12]. ## Verdict The model produces a surprising lean toward an away outcome (away 42% vs home 37%) though with low confidence, while Elo and recent form favour Luzern strongly (Elo +76 and superior scoring/points per game), creating a genuine clash between structural ratings and short-term probabilistic forecasting[^fact-2][^fact-3][^fact-4][^fact-5]. The clearest, high-confidence take from the model is not match result but match texture: the game is expected to be open and to produce goals — Over 2.5 and Both Teams to Score register the largest, most reliable edges in the supplied analysis[^fact-6][^fact-7]. ### Cited facts [^fact-1]: **Kickoff** — Sat 25 Jul 2026, 18:30 UTC — Super League [^fact-2]: **Model verdict** — Home 37% / Draw 21% / Away 42% (source: model; confidence low, 5 pp gap to runner-up). [^fact-3]: **Elo edge** — LUZ vs THU — Elo differential +76 points (with home advantage applied). [^fact-4]: **LUZ recent form** — WWDWW last 10: 6-2-2 (W-D-L), 2.00 PPG, 2.20 goals scored / 1.30 conceded per match. [^fact-5]: **THU recent form** — DLLLL last 10: 3-1-6 (W-D-L), 1.00 PPG, 1.60 goals scored / 2.10 conceded per match. [^fact-6]: **Value pick #1** — Over in Goals O/U 2.5 — model 83% vs market price 1.44 at bet365, edge 13.3 pp (high confidence). [^fact-7]: **Value pick #2** — Yes in Both Teams to Score — model 80% vs market price 1.40 at bet365, edge 9.1 pp (high confidence). [^fact-8]: **LUZ in-form player** — Oscar Kabwit — 4 goals, 1 assists in last 5 appearances, avg rating 7.64. [^fact-9]: **THU in-form player** — Michael Heule — 1 goals, 1 assists in last 4 appearances, avg rating 6.89. [^fact-10]: **LUZ key absence** — Bung Meng Freimann out (suspension), 736 minutes in recent run. [^fact-11]: **THU key absence** — Michael Heule out (injury), 810 minutes in recent run. [^fact-12]: **Markets analysed** — 3 market(s) compared against the model. --- Methodology: . Canonical HTML: .