Monza vs Modena: match statistics

Monza holds a clear home advantage: they win 76% of home matches, score an average of 1.82 goals and concede only 0.59 goals per game, yielding a +21 goal differential at their stadium. In the last 5 fixtures Monza scored 7 and conceded 2, averaging 1.8 points per game, while Modena also scored 7 in those five matches but conceded 9 and average just 1.0 point per game. Monza is also more efficient in finishing: shot conversion rate 12% versus Modena’s 7%, and an average of 5.12 shots on target per game compared to 4.71 for the visitors, with a shutout rate of only 6% versus 29% for Modena. Although the xG figures are similar (Monza xG 1.7 at home vs Modena xG 1.79 away), Monza concedes a lower xG against (1.11 vs 1.28), which, combined with better defensive metrics and higher finishing efficiency, supports a home win.

Seasonal and league metrics favor BTTS: Monza has a seasonal BTTS of 56%, Modena 47%, and the league average is 55%, providing a baseline in favor of "both teams to score". In the last 5 matches the picture is mixed: Modena had BTTS in 100% (5/5) and conceded on average 1.8 goals (9 goals in 5 matches), while Monza had BTTS 40% (2/5) and conceded on average 0.4 goals (2 goals in 5 matches), which increases the likelihood of Modena scoring but highlights Monza's solid defense. xG analysis indicates similar scoring potential for both sides: estimated xG is ~1.45 for Monza (xG_for 1.63 vs opponent xG_against 1.28) and ~1.43 for Modena (xG_for 1.79 vs opponent xG_against 1.06), so both teams have realistic potential to score. Monza has higher shot conversion (10% with an average of 14.5 shots ≈1.45 goals) and more clean sheets this season (44%), but Modena takes more shots (17) and its xG 1.79 shows the quality of chances; this combination leans me toward BTTS "Yes". As a result, weighing seasonal 56%/47%, league 55%, recent xG ~1.4–1.5 and divergent form in the last 5 matches, I assess BTTS at 62% for 'yes' and 38% for 'no'.

Comparison of xG and defensive metrics yields expected goals of 1.46 for Monza (attacking xG 1.63 vs xG conceded 1.28) and 1.43 for Modena (attacking xG 1.79 vs xG conceded 1.06), totaling ~2.89 goals. Seasonal percentages show a strong trend above 1.5 goals: Monza 83% and Modena 76%, therefore I estimate the probability of Over 1.5 at around 80%. The 2.5 line is more balanced — season Over 2.5 is 67% for Monza and 35% for Modena (average 51%), but the projected 2.89 goals and the fact that Modena has 80% Over 2.5 in the last 5 matches give a slight edge to Over 2.5 (~58%). Over 3.5 looks unlikely: Monza has 0% season Over 3.5 and Modena 24% (average 12%), and the projected total of 2.89 is clearly below 3.5. In summary, the strongest and most conclusive signal is Over 1.5, so I recommend backing Over at the 1.5 line.

Monza more frequently leads at the break — the home side were leading in 44% of matches versus Modena’s 35%, and Monza concedes on average 0.28 goals by half-time compared to Modena’s 0.65. Monza keeps a clean sheet at half-time in 78% of games and scores on average 0.5 goals before the break, suggesting first halves often finish 1:0 or 0:0 with the hosts holding the lead. After the interval Monza averages 1.56 goals and 1.67 points in the second half, while Modena records only 0.88 goals after the break and a 1.47 second-half points average, so Monza has a greater chance of maintaining and extending a lead. Additionally, Monza converts chances more efficiently (conversion rate 10% versus 7%), even though Modena’s xG is slightly higher (1.79 versus 1.63), hence the scenario of Monza leading at half-time and winning the match (HT/FT 1/1) appears the strongest signal.