# Torino vs Carrarese > Coppa Italia · Kickoff Sat 15 Aug 2026, 19:15 UTC · [Canonical HTML](https://betsprinter.com/fixtures/37802) **Status:** Scheduled ## Model verdict - **Torino win:** 83% - **Draw:** 10% - **Carrarese win:** 6% - **Source:** model ## Pre-match deep dive ### Heavy Elo edge points to routine home progression ## The stage This is a one-off Coppa Italia tie, scheduled for kickoff at 19:15 UTC on Saturday 15 August 2026[^fact-1]. The fixture operates as a knockout assignment where a single performance determines progression; the timing and format concentrate importance on immediate selection and match-day planning rather than long-term league management[^fact-1]. ## Form & momentum The quantitative picture heavily favours the hosts. The model assigns the home side an 83% chance, with draws and away wins at 10% and 6% respectively; the model reports high confidence with a 73 percentage-point gap to the next-favoured outcome[^fact-2]. That aligns with an Elo differential of +292 points in favour of the home side once home advantage is applied[^fact-3]. Recent form in raw results is less extreme but still tilted towards the hosts. The home team’s sequence across the last 10 competitive outings is D-L-W-L-D, amounting to 4 wins, 3 draws and 3 defeats in that span, producing 1.50 points per game and an attacking/defensive profile of 1.60 goals scored and 1.40 conceded per match[^fact-4]. The visitors carry a LDLDL sequence over their last 10, recorded as 3 wins, 3 draws and 4 defeats, translating to 1.20 points per game and a balanced 1.20 goals scored and 1.20 conceded per match[^fact-5]. Put plainly: the model’s overwhelming probability is driven more by structural superiority (Elo) than by a gulf in recent scoring form, since both sides average around one to one-and-two-tenths goals per match in their recent runs[^fact-4][^fact-5]. ## Personnel Two players stand out in recent output. Giovanni Simeone has two goals and no assists in his last five appearances with an average rating of 6.74, signalling a reliable scoring presence in the short term[^fact-6]. On the visiting side, Simone Zanon has one goal in his last four appearances and carries a higher average rating of 7.18 across those games[^fact-7]. Those are the clearest recent individual signals available for the match. The hosts will also be missing Marcus Pedersen due to injury; he logged 620 minutes in the recent run before his absence, so his unavailability removes a sizeable chunk of recent playing time from selection options[^fact-8]. That absence must be managed within selection choices, though the supplied information does not detail who replaces him or how tactics will shift[^fact-8]. ## Where the model sees value The model’s primary edges are straightforward and numerically clear. It places the home outcome at 83% probability, implying a strong lean to progression from the hosts[^fact-2]. That sits alongside an Elo cushion of +292 points after home advantage, which is the structural backbone of the model’s forecast[^fact-3]. Two markets were compared against the model’s outputs when assessing market mispricing and angle size[^fact-9]. The model’s distribution — heavily favouring the home side and assigning low probability to an away success — creates a concentrated edge on home progression and, by extension, on outcomes that require a home win rather than a draw or penalty-decider result[^fact-2][^fact-3]. The available facts do not include decimal odds, so explicit price comparisons cannot be stated here; the markets were simply cross-referenced in two instances against the model’s probabilities[^fact-9]. Given the hosts’ higher goal rate in recent games (1.60) versus the visitors’ 1.20, and the visitors’ symmetrical goals conceded rate of 1.20, the model’s view favours scenarios where the home side can produce the marginal scoring advantage expected from the Elo gap[^fact-4][^fact-5][^fact-3]. The model’s confidence metric — described as high with a 73-point gap to the runner-up output — reinforces that the projection is not a marginal call but a dominant one inside the model’s framework[^fact-2]. ## Verdict The quantitative picture is convergent: a large Elo advantage and an 83% model probability for the home side underpin a clear lean to home progression, with recent domestic form and individual form notes (Simeone’s goals and Pedersen’s absence) offering context to how that outcome could be achieved on the night[^fact-3][^fact-2][^fact-6][^fact-8]. Markets were checked in two places against this projection[^fact-9]. ### Cited facts [^fact-1]: **Kickoff** — Sat 15 Aug 2026, 19:15 UTC — Coppa Italia [^fact-2]: **Model verdict** — Home 83% / Draw 10% / Away 6% (source: model; confidence high, 73 pp gap to runner-up). [^fact-3]: **Elo edge** — TOR vs CAR — Elo differential +292 points (with home advantage applied). [^fact-4]: **TOR recent form** — DLWLD last 10: 4-3-3 (W-D-L), 1.50 PPG, 1.60 goals scored / 1.40 conceded per match. [^fact-5]: **CAR recent form** — LDLDL last 10: 3-3-4 (W-D-L), 1.20 PPG, 1.20 goals scored / 1.20 conceded per match. [^fact-6]: **TOR in-form player** — Giovanni Simeone — 2 goals, 0 assists in last 5 appearances, avg rating 6.74. [^fact-7]: **CAR in-form player** — Simone Zanon — 1 goals, 0 assists in last 4 appearances, avg rating 7.18. [^fact-8]: **TOR key absence** — Marcus Pedersen out (injury), 620 minutes in recent run. [^fact-9]: **Markets analysed** — 2 market(s) compared against the model. --- Methodology: . Canonical HTML: .