# Udinese vs Calcio Padova > Coppa Italia · Kickoff Sat 15 Aug 2026, 16:30 UTC · [Canonical HTML](https://betsprinter.com/fixtures/37789) **Status:** Scheduled ## Model verdict - **Udinese win:** 33% - **Draw:** 33% - **Calcio Padova win:** 33% - **Source:** model ## Pre-match deep dive ### Clear-cut favourites: heavy model edge points to one-sided tie ## The stage This is a single-match Coppa Italia tie with immediate consequence: a knockout fixture on Sat 15 Aug 2026, 16:30 UTC[^fact-1]. The scheduling and format magnify the value of an early-season form picture; there is no margin for error over 90 minutes. ## Form & momentum The model paints a highly asymmetric picture. It assigns the home side an 83% win probability, with the draw at 11% and the away win at 6% — a large favourite signal from the model and a 72 percentage-point gap to the runner-up confidence band[^fact-2]. That superiority is reflected in an Elo differential of +364 in favour of the hosts once home advantage is applied[^fact-3]. Recent competitive runs add context. The home team’s last-10 string reads LLWWD, logged as a 4-2-4 (W‑D‑L) split, yielding 1.40 points per game and an average of 1.20 goals scored while conceding 0.70 per match[^fact-4]. The visitors arrive on a sequence shown as WWLWW — a 4-0-6 (W‑D‑L) split — producing 1.20 points per game with 0.90 goals scored and 1.40 conceded per match[^fact-5]. The raw numbers show the hosts are both scoring slightly more and, crucially, conceding markedly less than their opponents across recent games, which helps explain the model’s large home probability and Elo advantage[^fact-4][^fact-5][^fact-3]. ## Personnel Two in-form individuals stand out in the last five appearances. Arthur Atta has delivered 2 goals and no assists in that span, with an average match rating of 7.05[^fact-6]. On the opposing side, Christian Pastina has contributed 1 goal and no assists across his last five appearances, carrying a higher average rating of 7.37[^fact-7]. Those package the immediate attacking threats and recent influence to watch, without projecting tactical changes not present in the supplied facts. Availability questions are straightforward and asymmetric. The hosts will be missing Jesper Karlström through injury; he has accumulated 675 minutes in the recent run referenced by the dataset[^fact-8]. The visitors’ notable absence is Francesco Belli, also out injured, and recorded with 444 minutes in the same recent window[^fact-9]. The differential in minutes lost — and the identities involved — are supplied facts; they factor into squad continuity and midfield/defensive rhythm even if the specific replacements are not detailed here. ## Where the model sees value The model was explicitly benchmarked against two market streams in the analysis[^fact-10]. Converting the model probabilities into implied decimal odds gives a clear sense of the scale of conviction: the home win equates to ~1.20 implied odds (83% → 1.20), the draw to ~9.09 (11% → 9.09), and the away win to ~16.67 (6% → 16.67)[^fact-2]. These model-implied prices frame where market prices would need to sit to be considered weak or strong relative to the model’s view. Given the Elo gap of +364 points for the hosts[^fact-3] and the hosts’ superior defensive ledger in recent matches (0.70 conceded versus the visitors’ 1.40)[^fact-4][^fact-5], the principal edge the model identifies is on a home-leaning outcome priced materially higher than ~1.20 in market lines. The two markets compared were used to check for such mispricings, though the supplied facts do not list their market decimals; the presence of that comparison is acknowledged here as part of the model review process[^fact-10]. ## Verdict The model’s lean is emphatic: overwhelming probability for the hosts (83%), a sizable Elo advantage (+364) and clearer defensive profiles in recent form combine into a straightforward pre-match conclusion that the home side should be expected to progress[^fact-2][^fact-3][^fact-4]. The absence of Jesper Karlström and Francesco Belli is relevant but does little to overturn the scale of the quantitative gap shown in the supplied data[^fact-8][^fact-9]. ### Cited facts [^fact-1]: **Kickoff** — Sat 15 Aug 2026, 16:30 UTC — Coppa Italia [^fact-2]: **Model verdict** — Home 83% / Draw 11% / Away 6% (source: model; confidence high, 72 pp gap to runner-up). [^fact-3]: **Elo edge** — UDI vs PAD — Elo differential +364 points (with home advantage applied). [^fact-4]: **UDI recent form** — LLWWD last 10: 4-2-4 (W-D-L), 1.40 PPG, 1.20 goals scored / 0.70 conceded per match. [^fact-5]: **PAD recent form** — WWLWW last 10: 4-0-6 (W-D-L), 1.20 PPG, 0.90 goals scored / 1.40 conceded per match. [^fact-6]: **UDI in-form player** — Arthur Atta — 2 goals, 0 assists in last 5 appearances, avg rating 7.05. [^fact-7]: **PAD in-form player** — Christian Pastina — 1 goals, 0 assists in last 5 appearances, avg rating 7.37. [^fact-8]: **UDI key absence** — Jesper Karlström  out (injury), 675 minutes in recent run. [^fact-9]: **PAD key absence** — Francesco Belli out (injury), 444 minutes in recent run. [^fact-10]: **Markets analysed** — 2 market(s) compared against the model. --- Methodology: . Canonical HTML: .