Juve Stabia vs Frosinone: match statistics

Frosinone is the favorite based on league position and season output: they sit 2nd with 21 wins versus Juve Stabia’s 11 and have scored 70 goals compared to 43. Recent form confirms the visitors’ edge — 4 wins and 1 draw in the last 5 (PPG 2.6) with 11 goals, while Juve have 2 wins, 2 draws and 1 loss (PPG 1.6) with 8 goals. Chance quality favors Frosinone: on average 5.56 SOT and 15.72 shots per game with a 12% conversion rate and xG 1.7 on the road, versus the home side’s 4.33 SOT, 13.67 shots and xG 1.47. The hosts’ strength is a solid home defense — only 0.78 goals conceded per game and 50% clean sheets, while Frosinone concedes 1.06 away and has 28% clean sheets. In summary, superiority in goals scored (70 vs 43), efficiency and form (PPG 2.6 vs 1.6) leans toward an away win: 55% for the visitors, 25% draw and 20% for the hosts.

I predict BTTS - YES (70% vs 30%). Frosinone have a seasonal BTTS rate of 67% versus 50% for Juve Stabia, and in the last 5 matches both teams recorded BTTS in 60% and 80% of games respectively. Both sides create chances: home xG 2.03 against away xG conceded 1.7, and away xG 1.7 against home xG conceded 1.35, with average shots on target 6.5 vs 5.56 and shot conversion around 11–12%. Hosts fail to score at home in only 6% of matches, visitors don’t score in 11% of appearances, and Frosinone have scored 70 goals this season versus Juve Stabia’s 43, which increases the likelihood of both teams scoring. Counterarguments are Juve’s 44% clean sheets this season and the hosts’ average of 1.2 goals conceded in the last 5 matches, but the offensive indicator advantage and the low frequency of failing to score (6% and 11%) weigh more strongly in favor of BTTS=YES.

I estimate expected goals at 1.87 for Juve Stabia and 1.52 for Frosinone (total 3.39), calculated as the average of home attack xG 2.03 and away defense xG 1.70, and away attack xG 1.70 and home defense xG 1.35. With total λ=3.39 the Poisson distribution gives the probability of at least 2 goals (Over 1.5) at ~85% — P(0)=3.37% and P(1)=11.47%, so 1−(P0+P1)≈85.2%. For the 2.5 line the model forecasts Over at ~66% (1−P(0..2)≈65.8%), and for 3.5 at ~44% (1−P(0..3)≈43.9%), which aligns with seasonal rates: Over 1.5 occurred 89% for home teams and 83% for away teams, while Over 2.5 is 67% (home) vs 56% (away). Additionally, Juve averages 19.17 shots (6.5 on target), Frosinone 15.72 (5.56 on target) with conversion rates 11% vs 12%, and in the last 5 matches teams averaged 1.6 vs 2.2 goals scored and 1.2 vs 0.6 conceded, supporting a higher goal count. Based on this, the strongest signal is Over 1.5 — its probability of ~85% and the high seasonal Over 1.5 rates (89%/83%) provide the greatest margin of confidence.

The strongest signal indicates Frosinone leading at Half-Time with a turnaround by Juve Stabia after the break. The visitors have 27 goals before the break versus 19 for the hosts and a goals-before-the-break average of 1.00 vs 0.78 for Juve Stabia, so HT more often favors the away side. Nonetheless Juve Stabia posts better full-match metrics: seasonal goals average 2.06 vs 1.83, xG 2.03 vs 1.70 and more shots (19.17 vs 15.72), suggesting greater control and quality of chances after the interval. After the break hosts score on average 1.28 goals versus 0.83 for their opponents, they have 10 goals in minutes 46–60 and 72% of second halves feature at least 2 goals vs 44% for Frosinone; therefore the HT: away leading, FT: home win (2/1) scenario I assess as most likely (30%). I also factor in the visitors’ form (4 wins in the last 5 matches, 80%), so alternatives such as draw at Half-Time and home win (X/1 20%) or draw/draw (X/X 12%) receive smaller but meaningful probabilities.