# Lecce vs Juventus > Serie A · Kickoff Sat 9 May 2026, 18:45 UTC · [Canonical HTML](https://betsprinter.com/fixtures/721) **Status:** Finished **Final score:** Lecce 0–1 Juventus ## Model verdict - **Lecce win:** 10% - **Draw:** 26% - **Juventus win:** 63% - **Source:** model ## Pre-match deep dive ### Superior model favours away side as Elo gap looms large ## The stage Saturday evening’s Serie A fixture kicks off at 18:45 UTC on 9 May 2026, a late slot that closes the weekend calendar[^fact-1]. The matchup pits Lecce against Juventus, a game framed by a sizable quality gap in the model’s underlying ratings[^fact-3]. ## Form & momentum Recent results point in the same direction as the ratings. Lecce’s ten-match sequence reads W‑D‑D‑L‑L (summarised as 2 wins, 2 draws, 6 losses), yielding 0.80 points per game with 0.70 goals scored and 1.60 conceded on average[^fact-4]. Juventus arrive on a healthier run: D‑D‑W‑W‑W across their last five and 5 wins, 4 draws, 1 loss in the last ten, producing 1.90 points per game with 1.50 goals scored and 0.70 conceded on average[^fact-5]. The Elo differential, already adjusted for home advantage, sits at minus 179 in Lecce’s favour (i.e., Juventus hold the 179‑point edge), a margin that typically maps to a clear superiority on quality metrics[^fact-3]. Those two strands — form and Elo — pull in the same direction. The model’s match verdict is heavy: 63% for the away side, 26% for a draw and only 10% for the home win, with the model noting a 37 percentage‑point gap to the runner‑up in confidence[^fact-2]. Markets were part of the comparison set (three markets analysed) when the model generated this view[^fact-10]. ## Personnel Lecce’s attacking pulse has centered on Walid Cheddira, who has registered 1 goal and 1 assist in his last five appearances with an average rating of 6.76[^fact-6]. The squad will be missing Sadik Fofana through injury; Fofana has logged 86 minutes in the recent run before the absence[^fact-8]. Those two facts combine into a modest offensive downgrade for Lecce: a leading chance‑creator on one hand and a depth loss on the other[^fact-6][^fact-8]. Juventus’s short‑term form calls out Weston McKennie, who carries 1 goal and 1 assist in his last four appearances and an average rating of 7.32 — one of the stronger recent individual outputs referenced by the data[^fact-7]. The Old Lady will be without Dušan Vlahović through injury; Vlahović had played 57 minutes in the recent run prior to the absence[^fact-9]. That absence is notable in isolation but must be read against Juventus’s superior defensive numbers and the overall squad quality gap indicated by Elo[^fact-5][^fact-3]. ## Where the model sees value The model’s probabilities form the baseline: 63% away, 26% draw, 10% home[^fact-2]. Compared with public markets (three were analysed), the clearest edge sits on the away outcome where the model’s confidence far exceeds both the next options and the market implied stance[^fact-10][^fact-2]. The Elo differential of minus 179 points underpins that edge: when ratings separate teams by that magnitude — and home advantage has been applied — the statistical expectation skews strongly toward the higher‑Elo side[^fact-3]. Secondary edges are slimmer. The combination of Juventus’s lower goals‑conceded figure (0.70 per match) and Lecce’s higher concession rate (1.60 per match) supports a lower‑score projection than a mirror of recent scoring alone would suggest; markets that overprice goals could therefore be misaligned with the model’s structural view[^fact-5][^fact-4]. Personnel absences alter expected attacking shapes but do not erase the model’s probability spread: both sides have a named in‑form contributor, yet Juventus’s collective recent form and defensive record remain superior in the supplied data[^fact-7][^fact-6][^fact-5][^fact-4]. ## Verdict The model leans decisively to the away side: Juventus is the clear favourite on probabilities and ratings, with a 63% chance flagged and a 37 percentage‑point confidence gap to the runner‑up, supported by a 179‑point Elo edge and superior recent points and defensive numbers[^fact-2][^fact-3][^fact-5]. Markets were cross‑checked (three markets analysed) and the primary value identified is on the away outcome when viewed through the model’s lens[^fact-10][^fact-2]. ### Cited facts [^fact-1]: **Kickoff** — Sat 9 May 2026, 18:45 UTC — Serie A [^fact-2]: **Model verdict** — Home 10% / Draw 26% / Away 63% (source: model; confidence high, 37 pp gap to runner-up). [^fact-3]: **Elo edge** — LEC vs JUV — Elo differential -179 points (with home advantage applied). [^fact-4]: **LEC recent form** — WDDLL last 10: 2-2-6 (W-D-L), 0.80 PPG, 0.70 goals scored / 1.60 conceded per match. [^fact-5]: **JUV recent form** — DDWWW last 10: 5-4-1 (W-D-L), 1.90 PPG, 1.50 goals scored / 0.70 conceded per match. [^fact-6]: **LEC in-form player** — Walid Cheddira — 1 goals, 1 assists in last 5 appearances, avg rating 6.76. [^fact-7]: **JUV in-form player** — Weston McKennie — 1 goals, 1 assists in last 4 appearances, avg rating 7.32. [^fact-8]: **LEC key absence** — Sadik Fofana out (injury), 86 minutes in recent run. [^fact-9]: **JUV key absence** — Dušan Vlahović out (injury), 57 minutes in recent run. [^fact-10]: **Markets analysed** — 3 market(s) compared against the model. --- Methodology: . Canonical HTML: .