Monza vs Juve Stabia: match statistics

The favorite is Monza (1): the team sits 3rd, has 22 wins this season, and wins 74% of home matches. Offensively Monza scored 63 goals this season and averages 1.79 goals per home game with xG of 1.69, while Juve Stabia has 47 goals this season and records only 1.0 goals per away game with xG 1.10. Defensively Monza’s advantage is clear — hosts concede 0.63 goals per home game on average and keep a clean sheet in 47% of matches, while Juve concede 1.50 goals on average away, have only 15% clean sheets and an away goal difference of -10. Monza also creates more opportunities: 15.26 average shots and 5.21 shots on target at home (conversion 12%) versus 9.85 shots and 3.45 on target for Juve (conversion 10%) and 30% of away games in which Juve fail to score. Considering form over the last 5 matches (Monza 2-2-1 with 10 goals scored vs Juve 1-3-1 with 5 goals), superior xG and the hosts’ defensive edge, I estimate probabilities: Monza 68%, draw 20%, Juve 12%.

Both teams show a propensity for BTTS. Monza has 50% BTTS on the season and 60% in the last 5 matches, while Juve Stabia records 60% on the season and 60% in the last 5; the league average is 54% BTTS. The xG profile supports goals at both ends — Monza xG_for 1.49 vs Juve xG_against 1.48, and Juve xG_for 1.10 vs Monza xG_against 1.06, meaning both sides have expected goal outputs in the ~1.1–1.5 range. Monza’s attack is stronger (63 goals scored this season, 13.95 shots and 4.3 on target per match) versus Juve (47 goals, 9.85 shots and 3.45 on target), and with a similar conversion rate of 10% both teams have the tools to score. Counter signals include Monza’s 45% home clean sheets, but in the last 5 Monza conceded 1.4 goals on average and had last5 xG_against 1.66, whereas Juve away keep only 15% clean sheets and concedes 1.5 goals seasonally. Combining 50–60% seasonal BTTS, 60% in the last 5 for both, xG profiles and Juve’s low away clean sheet rate, the stronger signal is BTTS - Yes (approx. 70% vs 30%).

Based on attacking and defensive data I estimate expected goals: Monza has xG_for 1.49 and a seasonal scoring average of 1.35, while Juve Stabia concedes 1.50 on average and has xG_against 1.48 — this yields roughly 1.46 goals for Monza. The visitors have xG_for 1.10 and a seasonal average of 1.00 goal, against a Monza defense that concedes 0.85 and has xG_against 1.06, translating to ~1.00 goal for Juve Stabia; total expected goals ≈2.46. With a mean of 2.46 (assuming a Poisson distribution) the probability of at least 2 goals (Over 1.5) is about 70%, Over 2.5 ≈45%, and Over 3.5 ≈23%. Additionally, seasonal indicators support Over 1.5: Monza has 65% of matches >1.5, Juve Stabia 80%, and Monza scored 10 goals in the last 5 matches (2.0 avg), which increases offensive pressure. In light of these figures the strongest and most valuable signal from the data is Over 1.5 (line 1.5).

Monza holds the halftime advantage: the home side led at the break in 45% of home matches, averaging 0.65 goals scored and only 0.25 conceded by half-time, whereas Juve Stabia led at the break in 30% of away games and average 0.6 scored and 0.55 conceded by half-time. Monza produces higher xG (1.49 vs 1.10) and more shots on target (4.3 vs 3.45), confirming the hosts’ offensive superiority and a greater likelihood of a goal before the break. Juve Stabia have only a 20% win rate away and recorded 80% half-time draws in their last five matches, which increases the probability that Monza will retain a lead or that the match will finish level. Considering Monza’s vulnerability to late goals (9 conceded in minutes 76–90), the most probable scenario is 1/1 (34%), with significant weight on X/X (20%) and a lower risk of a guest turnaround (2/2 — 9%).