UTC Cajamarca vs UCV Moquegua: match statistics

UTC Cajamarca has a statistical edge: at home they score on average 1.13 goals per match and have xG 1.30 with an average of 3.88 shots on target, while UCV Moquegua away scores only 0.44 goals on average and has xG 0.99 and 2.89 shots on target. Visitors failed to score in 67% of away games, whereas hosts failed to score at home in only 25% of matches, which significantly reduces UCV’s realistic chances of finding the net. Defensively UCV concedes on average 1.67 goals away with xG against 1.70 and has only 11% clean sheets, while UTC at home concedes 1.00 goal with xG against 1.23 and keeps a clean sheet in 38% of fixtures. Both teams are in poor form: in the last 5 matches UTC scored 4 and conceded 9 with an average of 0.4 points per game, and UCV scored 4 and conceded 6 with an average of 0.6 points per game, suggesting the contest may be balanced in quality. Considering higher finishing efficiency (conversion rate 10% vs 5%), greater home possession (49% vs 37%) and the advantage in xG and shots on target, I favor a UTC victory.

The 'no' scenario is more likely because UCV Moquegua scores only 0.44 goals per match on average and fails to score in 67% of their games this season. UTC Cajamarca creates significantly more chances — 1.67 goals per match, 11.44 shots and a 15% conversion rate — and their xG is 1.27 versus the 1.7 xG that the visitors typically concede, which favors goals for the hosts. The visitors have low efficiency (2.89 shots on target and a 5% conversion) and UCV’s season BTTS is only 33% compared to the hosts’ 67%, so the likelihood of both teams scoring is reduced. Although UCV have averaged 0.8 goals in their last 5 matches (an improvement over the season 0.44), this is still hard to offset given their 67% of games without a goal. Based on this I assess BTTS at 30% for 'yes' and 70% for 'no', selecting 'no' as the stronger signal.

The model combining xG and actual averages yields 1.58 goals for UTC Cajamarca and 1.01 for UCV Moquegua, totaling 2.59 goals. The home side scores on average 1.67 goals per match with an xG of 1.27 and a higher conversion rate of 15% versus the visitors' 5%; they also register 4.33 shots on target per game versus UCV's 2.89, which increases the likelihood of them scoring. UCV posts only 0.44 goals per match despite an xG of 0.99 and concedes on average 1.67 goals (xG against 1.70), indicating issues finishing chances and defensive fragility. Seasonally, the home team’s matches finish over 1.5 goals in 78% of cases, and a Poisson distribution at the expected 2.59 goals gives about a 73% chance of at least 2 goals; therefore Over 1.5 is the strongest signal. Over 2.5 is more balanced (~48%), and Over 3.5 falls to ~26%, hence the recommendation: play Over 1.5.

Hosts dominate statistically: on average 1.67 goals scored per match versus 0.44 for the visitors, xG 1.27 vs 0.99, more shots on target 4.33 vs 2.89 and higher conversion rate 15% vs 5%. At half-time hosts average 0.56 goals (conceding 0.44), while visitors only 0.22; hosts led at the break in 3 matches (33%) versus 2 (22%) for the visitors, so a lead at the break for the hosts is more likely. Over the full match hosts won 44% of games and visitors only 11%, and with average goals 1.67 vs 0.44 and xG against 1.7 (visitors) versus 1.38 (hosts) the visitors’ defense looks weaker. The second half also favors the hosts — average second-half goals for hosts is 1.89, and the seasonal percentage of hosts’ matches with both teams scoring is 67%, suggesting they can close out results. Based on this I select the HT/FT 1/1 as the strongest scenario and assign it a 28% probability.