# Basel vs Juventus > Club Friendlies 1 · Kickoff Sat 18 Jul 2026, 13:30 UTC · [Canonical HTML](https://betsprinter.com/fixtures/37215) **Status:** Finished **Final score:** Basel 0–0 Juventus ## Model verdict - **Basel win:** 13% - **Draw:** 23% - **Juventus win:** 64% - **Source:** model ## Pre-match deep dive ### Clear model lean to the away side after contrasting recent records ## The stage This is a pre-season friendly scheduled for kickoff on Sat 18 Jul 2026, 13:30 UTC[^fact-1]. The contest sits in Club Friendlies 1, meaning match context will be preparation-focused rather than competitive-points-driven[^fact-1]. ## Form & momentum On paper the model makes a large call: Home 10% / Draw 24% / Away 66% — an away-heavy verdict delivered with high confidence (42 percentage-point gap to the runner-up)[^fact-2]. That aligns with a substantive Elo gap: Basel carry an Elo disadvantage of 134 points after home advantage is applied[^fact-3]. Recent results underline the contrast. Basel arrive on a downturn: LLLWL in their last ten and a record of 3 wins, 1 draw, 6 losses; they average 1.00 points per game and score 1.30 while conceding 2.30 per match[^fact-4]. Juventus show a clearer defensive compactness and steadier output: DLWDD in their last ten and a record of 5 wins, 4 draws, 1 loss; they average 1.90 points per game and score 1.10 while conceding only 0.60 per match[^fact-5]. The combination of recent form and the Elo differential explains the model’s heavy lean toward the visitors[^fact-2][^fact-3][^fact-5]. ## Personnel Basel’s primary in-form contributor named in the data is Koba Koindredi, who has registered 1 goal and 1 assist in his last five appearances with an average rating of 6.92[^fact-8]. Basel also face the absence of Bénie Traoré through injury; Traoré logged 757 minutes in the recent run before the absence[^fact-10]. Juventus’s current attacking focal point in the supplied facts is Dušan Vlahović, who has scored 4 goals in his last five appearances and carries an average rating of 7.50 over that span[^fact-9]. Juventus are missing Kenan Yıldız through injury; Yıldız had accumulated 619 minutes in the recent run before his absence[^fact-11]. These listed personnel notes highlight an attacking imbalance in the supplied data: Vlahović’s scoring form vs Koindredi’s more modest returns[^fact-9][^fact-8]. ## Where the model sees value Markets analysed number three in the comparison set provided[^fact-12]. Two specific value signals emerge from the model versus market comparison. First, an Away in Match Winner is a strong model edge: the model places the away win probability at 71% against a market price of 2.00 at bet365, yielding an edge of 21.0 percentage points and labelled with high confidence in the supplied fact set[^fact-6]. Second, the model flags Under 2.5 goals as a smaller, more tentative edge: the model gives Under 2.5 a 50% probability versus a market price of 2.15 at bet365, an edge of 3.7 percentage points and carrying low confidence[^fact-7]. Both comparisons are drawn from three markets analysed in the dataset[^fact-12]. Note how these two edges reflect different strands of the supplied evidence. The Away match-winner edge follows directly from the model probabilities and the Elo gap[^fact-2][^fact-3][^fact-6], while the Under 2.5 signal ties into Juventus’s low conceded-goals figure in recent matches (0.60 per match) and Basel’s mixed scoring/conceding balance (1.30 scored, 2.30 conceded), which together leave open the possibility of a low-scoring but one-sided game[^fact-5][^fact-4][^fact-7]. The model explicitly attaches higher confidence to the away-win signal than to the low-goals call[^fact-6][^fact-7]. ## Verdict The model’s lean is decisively toward the visitors: a 66% match-level probability for an away win with a 71% implied model chance used against market pricing in the Match Winner comparison[^fact-2][^fact-6]. That view is reinforced by a -134 Elo swing against the home side and by Juventus’s superior recent defensive record (conceding 0.60 per match) versus Basel’s porous profile (conceding 2.30 per match)[^fact-3][^fact-5][^fact-4]. Personnel notes reinforce the imbalance: Dušan Vlahović’s recent four-goal run contrasts with Basel’s more modest attacking returns and the absence of Bénie Traoré[^fact-9][^fact-8][^fact-10]. Under 2.5 is a secondary, lower-confidence signal in the model’s output[^fact-7]. The strongest, highest-confidence message from the supplied data is a clear model preference for the away side[^fact-6][^fact-2]. ### Cited facts [^fact-1]: **Kickoff** — Sat 18 Jul 2026, 13:30 UTC — Club Friendlies 1 [^fact-2]: **Model verdict** — Home 10% / Draw 24% / Away 66% (source: model; confidence high, 42 pp gap to runner-up). [^fact-3]: **Elo edge** — BAS vs JUV — Elo differential -134 points (with home advantage applied). [^fact-4]: **BAS recent form** — LLLWL last 10: 3-1-6 (W-D-L), 1.00 PPG, 1.30 goals scored / 2.30 conceded per match. [^fact-5]: **JUV recent form** — DLWDD last 10: 5-4-1 (W-D-L), 1.90 PPG, 1.10 goals scored / 0.60 conceded per match. [^fact-6]: **Value pick #1** — Away in Match Winner — model 71% vs market price 2.00 at bet365, edge 21.0 pp (high confidence). [^fact-7]: **Value pick #2** — Under in Goals O/U 2.5 — model 50% vs market price 2.15 at bet365, edge 3.7 pp (low confidence). [^fact-8]: **BAS in-form player** — Koba Koindredi — 1 goals, 1 assists in last 5 appearances, avg rating 6.92. [^fact-9]: **JUV in-form player** — Dušan Vlahović — 4 goals, 0 assists in last 5 appearances, avg rating 7.50. [^fact-10]: **BAS key absence** — Bénie Traoré out (injury), 757 minutes in recent run. [^fact-11]: **JUV key absence** — Kenan Yıldız out (injury), 619 minutes in recent run. [^fact-12]: **Markets analysed** — 3 market(s) compared against the model. --- Methodology: . Canonical HTML: .