# Genoa vs TBC > Coppa Italia · Kickoff Sun 16 Aug 2026, 16:30 UTC · [Canonical HTML](https://betsprinter.com/fixtures/37883) **Status:** Scheduled ## Model verdict - **Genoa win:** 72% - **Draw:** 21% - **TBC win:** 7% - **Source:** model ## Pre-match deep dive ### Genoa overwhelming favourites at home as Coppa tie looms ## The stage This is a first‑knockout cup fixture in the Coppa Italia with kickoff set for Sun 16 Aug 2026, 16:30 UTC[^fact-1]. The contest reads as a clear home tie on paper: the model grants a very strong probability to the hosts and the Elo differential has already been adjusted to reflect home advantage[^fact-2][^fact-3]. The immediate competitive ask is straightforward — progress in the cup — but the numbers make it plain which side is expected to shoulder most of the responsibility. ## Form & momentum Recent results offer two contrasting pictures. Genoa’s last 10 matches show a sequence recorded as LLDDL, translating to a 3‑2‑5 W‑D‑L split and a modest 1.10 points per game, with 0.70 goals scored and 1.10 conceded per match[^fact-4]. Those numbers argue a side that is struggling for offensive consistency and leaking slightly more than it produces, at least across the most recent run. By contrast, the model’s match verdict gives the home side a commanding 72% chance to win — a 51 percentage‑point gap to the runner‑up outcome and an indicator of high confidence in a home success[^fact-2]. The underlying Elo gap — plus 186 points in Genoa’s favour after home advantage is applied — quantifies that superiority in historic strength terms and reinforces why expectation heavily skews to the hosts[^fact-3]. ## Personnel Two personnel threads stand out for the hosts. First, Johan Vásquez is the most notable in‑form individual on the evidence available: he has 1 goal and 0 assists in his last three appearances and an average rating of 7.18 across those outings[^fact-5]. That contribution is a clear positive amid a side averaging only 0.70 goals per match recently[^fact-4][^fact-5]. Second, Genoa will be missing Tommaso Baldanzi through injury; the facts record him as absent and note he played 251 minutes in the recent run before this absence[^fact-6]. Baldanzi’s absence removes a chunk of minutes from the squad and is the single heaviest personnel loss listed in the data provided[^fact-6]. There is no supplied information on the opposition’s personnel, so the assessment focuses on how these Genoa details alter the hosts’ balance. ## Where the model sees value The model’s probability split is sharply tilted: home 72%, draw 21%, away 7% — a distribution that carries a high confidence signal given the 51 percentage‑point margin to the next outcome[^fact-2]. That projection sits on top of an Elo edge of +186 points for the hosts once home advantage is applied, a quantitative reinforcement of the model’s lean[^fact-3]. Two market points were analysed against this model view, indicating the bookmakers’ prices have been compared to the model on a couple of lines[^fact-7]. The combination of a large model probability for the home result, a sizeable Elo advantage and Genoa’s reliance on a small set of contributors — notably Johan Vásquez’s recent form and the absence of Tommaso Baldanzi — defines where the gap between market and model is likely to appear: on the outright result line and on markets sensitive to a single‑goal margin or low scoring expectations given Genoa’s 0.70 goals per match figure[^fact-2][^fact-3][^fact-4][^fact-5][^fact-6][^fact-7]. No specific market odds are supplied in the facts, so the analytical case is limited to identifying which market types should show divergence from the model rather than pointing to concrete price levels. ## Verdict The numerical story is plain: a 72% model probability for the home win, a +186 Elo differential with home advantage applied, tempered by Genoa’s modest recent scoring rate and the absence of Tommaso Baldanzi — and Juan Vásquez as the clearest current attacking spark[^fact-2][^fact-3][^fact-4][^fact-6][^fact-5]. The model leans decisively toward the hosts, with the biggest market value likely concentrated on the outright home outcome and low‑scoring margins given the available data[^fact-2][^fact-3][^fact-4][^fact-7]. ### Cited facts [^fact-1]: **Kickoff** — Sun 16 Aug 2026, 16:30 UTC — Coppa Italia [^fact-2]: **Model verdict** — Home 72% / Draw 21% / Away 7% (source: model; confidence high, 51 pp gap to runner-up). [^fact-3]: **Elo edge** — GEN vs TBC — Elo differential +186 points (with home advantage applied). [^fact-4]: **GEN recent form** — LLDDL last 10: 3-2-5 (W-D-L), 1.10 PPG, 0.70 goals scored / 1.10 conceded per match. [^fact-5]: **GEN in-form player** — Johan Vásquez  — 1 goals, 0 assists in last 3 appearances, avg rating 7.18. [^fact-6]: **GEN key absence** — Tommaso Baldanzi out (injury), 251 minutes in recent run. [^fact-7]: **Markets analysed** — 2 market(s) compared against the model. --- Methodology: . Canonical HTML: .