22 de Julio vs Cuniburo: match statistics

I forecast a draw. Cuniburo, 6th place, has scored 20 goals this season versus 8 for 22 de Julio (11th); in the last 5 matches the visitors have scored 8 goals and average 1.4 points per game, while the hosts have only 2 goals and 0.6 points per game. At home 22 de Julio creates many chances — on average 12 shots and 5.5 on target per match with xG 1.21 and xG against 0.92 — but conversion is low (about 0.63 goals per match, finishing rate ~8%) and they fail to score in 63% of home games. Cuniburo is more efficient in chance completion (conversion 17%) and averages 0.71 goals away, however they rarely win on the road (14% wins) and keep a clean sheet in only 14% of away fixtures. Considering the hosts’ 50% clean sheets at home and Cuniburo’s 43% draw rate away, a low-scoring draw is the most probable outcome.

Seasonally 22 de Julio has BTTS at 38% versus Cuniburo’s 57%, with the league average at 41%. In the last 5 matches the home side has BTTS 0%, scoring on average 0.4 goals and conceding 1.8 per game, while Cuniburo has BTTS 80%, scores 1.6 and has recent xG 1.42. The seasonal profile shows 22 de Julio averages 1.88 goals for with xG 1.52 and concedes 0.75 with 50% of matches as clean sheet expected, whereas Cuniburo seasonally scores 0.71 with xG 0.74 and concedes 1.00. Despite Cuniburo’s recent offensive form, the dominant signal is the high proportion of clean sheets for the home side (50%) and the overall high number of clean sheets in the league (74%), which reduces the likelihood of BTTS. On this basis I assign a higher probability to the 'No' scenario — 62% versus 38% for 'Yes' (BTTS - Yes).

I calculated expected goals as the average of the home team’s offensive xG and the opponent’s defensive xG: 22 de Julio ≈(1.52+0.67)/2 = 1.10 xG, Cuniburo ≈(0.74+0.95)/2 = 0.85 xG, total ≈1.95 goals. Using a Poisson distribution with λ=1.95, the probability of ≥2 goals (Over 1.5) is ~58%, ≥3 goals (Over 2.5) ≈31%, and ≥4 goals (Over 3.5) ≈13%. Season stats indicate a moderately low tempo: the home side scores 1.88 and concedes 0.75 goals per match, the away side 0.71 and concedes 1.00; the home team has 50% clean sheets, and Over 1.5 occurred in 88% of their matches versus 57% for Cuniburo. The home team generates more shots (12.38 avg, 4.88 on target) than the visitors (4.83 and 2.33), but last-5 form shows a decline for the home team (0.4 goals and xG 0.35) while the away team has 1.6 goals and xG 1.42 in their last 5. As a result the strongest signal is on the Under — the safest line is Under 3.5 (≈87% chance), Under 2.5 also offers an edge (~69%); although Over 1.5 has a moderate chance (~58%), the combined xG 1.95 and the high share of home clean sheets favor fewer than 4 goals.

The home side holds a clear seasonal advantage: averaging 1.88 goals per match vs. Cuniburo’s 0.71 and xG 1.52 vs. 0.74, with 12.38 shots compared to the opponent’s 4.83, indicating offensive dominance. At half-time the hosts led in 63% of matches (5 instances), scoring on average 0.88 and conceding only 0.25, whereas the visitors average 0.29 scored and 0.43 conceded by the break — a strong signal for the home side to lead at the break. However, the last 5 matches must be considered: the hosts have only 0.4 goals per game and a 20% rate of leading at half-time, while Cuniburo posts 1.6 goals/game and a 60% half-time lead rate, which weakens overall certainty. Additionally, the home team is strong after the break (on average 1.5 goals in the second half and goals in 100% of matches after half-time), increasing the likelihood of maintaining or extending a lead; therefore the most secure scenario is HT/FT 1/1, with an alternative of a draw at half-time and a home win (x/1).