# Sassuolo vs Cesena > Coppa Italia · Kickoff Mon 17 Aug 2026, 16:30 UTC · [Canonical HTML](https://betsprinter.com/fixtures/37905) **Status:** Scheduled ## Model verdict - **Sassuolo win:** 33% - **Draw:** 33% - **Cesena win:** 33% - **Source:** model ## Pre-match deep dive ### Clear model lean as Sassuolo carry heavy edge into cup tie ## The stage This is a Coppa Italia tie scheduled for Mon 17 Aug 2026, 16:30 UTC[^fact-1]. The competition context is knockout by nature, and the single-match format magnifies short-term form swings and turnover risk[^fact-1]. Venue details beyond kickoff are not provided in the supplied facts; commentary will therefore focus on measurable edges in form and ratings[^fact-1]. ## Form & momentum On the numbers, Sassuolo arrive with a materially stronger profile. The model gives the home side an 82% chance, with a draw at 12% and the away win at 7%[^fact-2]. That projection sits on top of a substantive Elo advantage: Sassuolo hold a +348-point Elo differential over Cesena (home advantage already applied)[^fact-3]. Recent match returns tell a consistent story. Sassuolo’s last-10 record reads LLLWD, summarised as 3 wins, 2 draws and 5 losses, producing 1.10 points per game and averaging 1.10 goals scored and 1.20 conceded per match[^fact-4]. Cesena’s last-10 reads LDDLL — 1 win, 5 draws and 4 losses — yielding 0.80 points per game and averages of 0.90 goals scored and 1.50 conceded per match[^fact-5]. Those per-game figures underline why the Elo gap and the model both favour the hosts: Sassuolo are producing marginally more goals and conceding fewer on the supplied recent-run metrics[^fact-4][^fact-5]. ## Personnel Two clear in-form attacking profiles are supplied. For Sassuolo, Armand Laurienté has contributed 2 goals and 1 assist in his last 5 appearances and carries an average match rating of 7.41 across that spell[^fact-6]. For Cesena, Cristian Shpendi has also delivered 2 goals and 1 assist in his last 5 appearances, with a 7.12 average rating in the same window[^fact-7]. These numbers suggest both players are focal points in attack, but the wider team outputs in the recent runs favour Sassuolo[^fact-4][^fact-5][^fact-6][^fact-7]. The most consequential absence documented is Sebastian Walukiewicz, listed out injured after accumulating 697 minutes in the recent run before his unavailability[^fact-8]. That loss hits defensive continuity for the side he represents and must be weighed when projecting defensive shape and set-piece organisation[^fact-8]. No other absences or starting-lineup notes are available in the supplied facts, so assessment is limited to the provided attendance impact[^fact-8]. ## Where the model sees value The model’s probabilities are stark: an 82% home probability versus a 7% away probability, with a 70 percentage-point gap between the model’s top pick and the runner-up confidence noted in the verdict[^fact-2]. The underlying Elo differential of +348 points to the hosts corroborates a heavy structural edge[^fact-3]. Markets were explicitly compared against the model on two occasions in the analysis set supplied[^fact-9]. Specific quoted market odds are not part of the supplied facts, so market-versus-model comparisons here are directional: both the model probability split and the Elo gap point to a large discrepancy between the home outcome and the alternatives[^fact-2][^fact-3][^fact-9]. The two in-form attacking players identified — Armand Laurienté for Sassuolo and Cristian Shpendi for Cesena — are reasonable focal points for match-impact forecasts, but only the Laurienté profile sits within a team context that has the higher goal-average and points-per-game numbers supplied[^fact-6][^fact-7][^fact-4][^fact-5]. Given the documented absence of Sebastian Walukiewicz and his 697 recent minutes, defensive stability questions magnify the model’s lean in favour of the team with the deeper underlying ratings and recent offensive output[^fact-8][^fact-3][^fact-4]. ## Verdict The model’s lean is decisive: a heavy home probability at 82% with a clear Elo edge of +348 points and supporting recent-run metrics, while Cesena’s recent numbers show fewer goals and fewer points per game[^fact-2][^fact-3][^fact-4][^fact-5]. Absent additional lineup or market odds data beyond the two markets analysed, the supplied facts point strongly toward the home side as the dominant side on paper; key player form and a notable defensive absence sharpen that inference[^fact-6][^fact-7][^fact-8][^fact-9]. ### Cited facts [^fact-1]: **Kickoff** — Mon 17 Aug 2026, 16:30 UTC — Coppa Italia [^fact-2]: **Model verdict** — Home 82% / Draw 12% / Away 7% (source: model; confidence high, 70 pp gap to runner-up). [^fact-3]: **Elo edge** — SAS vs CES — Elo differential +348 points (with home advantage applied). [^fact-4]: **SAS recent form** — LLLWD last 10: 3-2-5 (W-D-L), 1.10 PPG, 1.10 goals scored / 1.20 conceded per match. [^fact-5]: **CES recent form** — LDDLL last 10: 1-5-4 (W-D-L), 0.80 PPG, 0.90 goals scored / 1.50 conceded per match. [^fact-6]: **SAS in-form player** — Armand Laurienté — 2 goals, 1 assists in last 5 appearances, avg rating 7.41. [^fact-7]: **CES in-form player** — Cristian Shpendi — 2 goals, 1 assists in last 5 appearances, avg rating 7.12. [^fact-8]: **SAS key absence** — Sebastian Walukiewicz out (injury), 697 minutes in recent run. [^fact-9]: **Markets analysed** — 2 market(s) compared against the model. --- Methodology: . Canonical HTML: .