Hellas Verona2-2Virtus Entella

This Coppa Italia round-of-64 tie brings together Hellas Verona and Virtus Entella for the first time on record. With no previous meetings to draw on, the fixture is defined almost entirely by recent form and a statistical model that leans toward the hosts.

The model gives Verona a 47% win probability, with a draw at 36.1% and an Entella win at 16.9%. Yet the projected scoreline is 0-0, an apparent contradiction that reflects just how little goal output the two sides have shown in their respective home and away records. Expected goals are low on both sides, and the most likely individual scorelines are 0-0 and 1-0.

Hellas Verona's recent home record is difficult to read as positive. Across their last 20 matches at the Bentegodi, they have won only two, drawn five, and lost 13, scoring an average of 0.7 goals per game while conceding 1.45. Their win rate at home sits at 10%.

In their last five matches overall, the run reads W-L-D-L-D, with the team averaging 0.8 scored and 1.2 conceded per game. That suggests a slight improvement in scoring compared with the longer home sample, but the defensive numbers remain porous. Verona's last match was on 22 July, giving them 25 days of rest before this cup tie. No league table data is available for either side in this fixture.

Virtus Entella's away form over their last 19 matches shows just one win, five draws, and 13 losses, with a win rate of 5.3%. They average only 0.47 goals scored per away game and concede 1.74, a combination that reflects a very low scoring output and a high concession rate on the road.

Their last five matches — W-L-W-D-D — look better, with an average of one goal scored and one conceded per game. However, those dates are older. Entella's last match was on 8 May, a full 100 days before this tie, and the gap is described as an off-season layoff. This is effectively their season opener, which introduces substantial uncertainty about match sharpness.

There are no prior meetings between Hellas Verona and Virtus Entella on record. That makes this a difficult fixture to assess from a historical standpoint. With a sample that small, any attempt to lean on head-to-head patterns would be meaningless.

The absence of history also means there is no venue-specific record for this pairing. The model therefore relies almost entirely on each side's recent home and away form.

The venue here is the Stadio Marcantonio Bentegodi, where Verona's home record has been poor: 2 wins, 5 draws, and 13 losses in their last 20 home matches. The corresponding away record for Entella is even worse, with one win, five draws, and 13 losses in 19 away games. So while Verona's home numbers are uninspiring, they are still meaningfully better than Entella's road numbers.

When we compare the two splits directly, Verona score more at home (0.7 per game) than Entella manage away (0.47), and they concede less (1.45 vs 1.74). That home advantage, however modest, aligns with the model's decision to make Verona the most likely winner. There is no additional venue history beyond these splits.

Rest and scheduling play a notable role here. Verona arrive with 25 days of rest since their last competitive outing, while Entella have gone 100 days without a match, with the data flagging this as an off-season gap. That makes the away side a season opener and introduces a significant layer of uncertainty.

Both teams have also been low-scoring in their respective splits, which pushes the model toward a very low total-goals projection. The expected combined goal count is approximately 1.41, and the probability of at least two goals being scored is just over 41%. With no prior head-to-head record and no league table data for either side, the model's medium confidence is understandable.

The Poisson model assigns Verona a 47% probability of winning in 90 minutes, with a 36.1% chance of a draw and a 16.9% chance of an Entella win. The projected scoreline is 0-0, based on expected goals of 0.96 for the hosts and 0.45 for the visitors.

The most likely individual scorelines are 0-0 at 24.3%, 1-0 at 23.4%, and 2-0 at 11.3%. It is worth noting that a scoreless draw is the single most common projected outcome, even though the overall probability of a home win (47%) exceeds the draw probability (36.1%). This happens because a home win can arrive by one or more goals, while the draw is a single scoreline category.

The model's total-goals outlook points to a very tight, low-scoring affair: about 1.41 goals combined, with only a 5.5% chance of four or more goals. The winning-margin distribution shows a draw as the most frequent single margin at 36.1%, followed by a one-goal home win at 28.9% and a two-goal-plus home win at 18.2%. An away win by one goal stands at 13.6%, and by two or more at just 3.3%. The model's confidence is medium.

On the numbers provided, the data points to a narrow, low-scoring match in which Hellas Verona are the more likely winner, but without a comfortable margin. The combination of Verona's relatively stronger home record and Entella's very poor away record gives the hosts the edge in the model.

That said, the separation between a home win and a draw is modest. The draw probability of 36.1% is not far from Verona's 47%, and the most likely single scoreline is 0-0. Any projection of a comfortable Verona victory would be overstating what the data supports.

The key uncertainty is Entella's long layoff. A team starting its season after 100 days without competitive football introduces significant uncertainty, and the model treats this as a season opener. If Entella can immediately match the form they showed in parts of their last five matches — two wins and two draws — this could easily end level or even go the other way. But based strictly on the available evidence, a low-scoring Verona win by one goal is the most coherent conclusion, with a draw as the most realistic alternative.