Forlì vs Perugia: match statistics

I predict a home win (1). Forlì averages 1.29 goals per home match with an average xG of 1.67, while Perugia scores 1.12 on the road with an xG of 1.4. The hosts register 13.18 shots and 4.71 on target per game versus Perugia’s 11.82 and 3.59, and the conversion rate is 10% vs 9%, indicating higher-quality chances for Forlì. Defensively Forlì concedes 1.18 goals at home with a 29% clean sheet rate, whereas Perugia concedes 1.47 away and has only a 12% clean sheet rate, giving the hosts a defensive edge. Although Perugia have scored more in their last 5 matches (6 vs 2) and average 1.2 PPG compared to Forlì’s 0.8 PPG, the season-long xG, shot metrics and goal differential favor Forlì, hence the 55%/25%/20% assessment.

Perugia gives a strong BTTS signal: 65% of matches this season and 60% in the last 5, while Forlì has 50% this season but only 20% in the last 5 matches. Forlì averages 1.0 goals scored and 1.0 conceded season-to-date, while Perugia has 1.12 scored and 1.47 conceded; Perugia’s low number of clean sheets (12% on the road) increases the likelihood both teams will find the net. At home Forlì generates xG 1.76 with 14.94 shots and 4.22 shots on target, despite a shooting accuracy of only 7% versus Perugia’s 9%, which suggests chance creation despite weaker finishing. In the last 5 matches Forlì averages 0.4 goals scored and 1.4 conceded, and Perugia 1.2 scored and 1.2 conceded; Perugia’s high seasonal and recent BTTS rate offsets the hosts’ short-term regression. Overall, the stronger signal from Perugia (65%/60%) and the fact Forlì produces xG 1.76 and 4.22 shots on target lead me to favor BTTS — I rate “Yes” at 65% versus 35% for “No”.

The xG-based model projects expected goals of 1.63 for Forlì and 1.34 for Perugia (total 2.97), calculated as the average of a team’s attacking xG and the opponent’s conceded xG: (1.76+1.50)/2 and (1.40+1.27)/2. Assuming a Poisson distribution for the total with λ≈2.97, the probability of at least 2 goals (>1.5) is ~79.5% (rounded to 80%), at least 3 goals (>2.5) ≈56.9% (57%), and at least 4 goals (>3.5) ≈34.4% (34%). Seasonal statistics also favor the overs: over 1.5 occurred in 67% of Forlì’s matches and 76% of Perugia’s, while over 0.5 is 89% for Forlì and 100% for Perugia. Additionally, Forlì averages 14.94 shots and 4.22 on target, while Perugia averages 11.82 shots and 3.59 on target, supporting the likelihood of goal-scoring opportunities. Given that actual mean goals are lower (Forlì 1.00, Perugia 1.12) than xG, I recommend Over 1.5 as the strongest signal (Over 1.5 ≈80%), while Over 2.5 is moderate (57%) and Over 3.5 has low probability (34%).

I expect a draw at half-time because Forlì averages 0.5 goals before the break and keeps a clean sheet in 61% of HT matches, while Perugia scores only 0.41 goals before the break and has just 35% clean sheets at HT; additionally Forlì draws HT in 50% of games versus Perugia’s 29%. In the second half I favor Perugia: the percentage of matches with goals after the break is 72% for Forlì and 76% for Perugia, and in the last 5 away matches Perugia has averaged 2.0 points in second halves and won 60% of second halves. Forlì have weaker second halves in their last 5 games (only 0.4 points and 0% second-half wins), so despite the higher home xG for Forlì (1.76 versus Perugia’s 1.4) the visitors more often stage a turnaround after the break. Therefore the strongest signal is a Half-Time draw with Perugia winning after 90 minutes (X/2).