Vicenza vs Pergolettese: match statistics

Vicenza is the clear favorite: they have 26 wins this season and sit 1st, and at home they win 78% of matches, averaging 1.94 goals scored and 0.67 conceded per game (home goal difference +23). Pergolettese are 17th with 9 wins this season and win only 17% of away matches, averaging 0.89 goals scored and 1.44 conceded per game with an away goal difference of -10. In terms of quality of chances Vicenza generate 1.78 xG at home while conceding 0.97 xG, whereas Pergolettese have 1.30 xG away and concede 1.41 xG, giving the hosts an advantage of about 0.81 xG. In attack the hosts average 15.17 shots with 5.33 on target per game (conversion 13%), while the visitors average 9.83 shots and 3.11 on target (conversion 9%); additionally Pergolettese fail to score in 44% of away matches versus just 11% for the hosts, and the hosts keep a clean sheet in 44% of home games compared to 11% for the visitors. Looking at form, Vicenza scored 9 goals in the last 5 matches and average 2.0 points in that period (3-1-1), while Pergolettese have only 4 goals and 0.8 points (1-1-3); therefore I predict a home win.

I back BTTS - Yes primarily due to low clean sheet rates: Vicenza have only 17% of matches without conceding, and Pergolettese 11%, meaning they conceded in 83% and 89% of games respectively. In their last 5 matches Vicenza had BTTS in 80% and averaged 1.8 scored and 1.2 conceded, while Pergolettese had BTTS in 40% and averaged 0.8 scored and 1.8 conceded, indicating the hosts are more often involved in Goal/Goal games. xG analysis supports this direction: Vicenza’s recent average xG is 1.52 against Pergolettese’s average xG against of 1.47, and Pergolettese’s recent xG is 1.47 against Vicenza’s average xG against of 1.18 — both teams are creating sufficiently quality chances to score. Seasonal tallies (Vicenza 63 scored/25 conceded vs Pergolettese 34 scored/50 conceded) further suggest the hosts should score, and Pergolettese’s weak defense increases the visitors’ likelihood of scoring, so I assess BTTS at 62% versus 38% for No Goal.

The model projects a combined total of approximately 2.78 expected goals (xG Vicenza 1.43 vs Pergolettese 1.35), making the 2.5 line a natural reference point. Both teams have a season rate of matches with over 1.5 goals at 72%, and Vicenza averages 1.8 goals in the last 5 matches versus Pergolettese’s 0.8, which increases the likelihood of goals. Season Over 2.5 percentages are 50% for Vicenza and 39% for Pergolettese, but in the last 5 matches both teams are at 60% Over 2.5, pushing the probability of Over 2.5 to roughly 58%. Additionally, both sides average about 3 on-target shots (3.06 and 3.11), and the combined xG profile and recent form favor the over on the 2.5 line.

I favor the 1/1 scenario (Vicenza leading at half-time and winning) with a probability of 42%: Vicenza have won 60% of their last five matches and average 2.0 points per game in that period, whereas Pergolettese have a 20% win rate and average 0.8 points. The home side lead at the break more often in their last five fixtures — 40% vs 20% for the visitors — and score on average 0.8 goals by half-time compared to 0.2 for Pergolettese. Additionally, Vicenza generate higher xG (1.45 vs 1.30) and more shots (11.5 vs 9.83), and collect on average 1.28 points in second halves versus 0.72 for their opponent, which supports maintaining the lead. On this basis I assigned 42% to 1/1, 20% to X/1 and 14% to X/X; the remaining scenarios (turnarounds or an away win) are considered less likely.