22 de Julio vs San Antonio: match statistics

San Antonio holds a clear advantage in attacking metrics: 14 goals this season versus 6 for 22 de Julio, and in the last 5 matches the visitors scored 6 goals compared to just 1 from the hosts. The form gap is significant — San Antonio averages 1.6 points per game over the last five, while 22 de Julio has only 0.4 and has not won any of their last 5 (0-2-3). Home factors favour the hosts in possession (60% vs 50%) and higher home xG (1.21 vs 0.94 away xG for the visitors), but 22 de Julio only scores 0.5 goals per home game and fail to score in 67% of home matches. San Antonio register more on-target shots away (2.67 vs 2.0) and show better finishing in recent games, despite failing to score in 50% of their away fixtures; this combination of form and efficiency gives them a tangible offensive edge. Considering 14 vs 6 season goals, 1.6 vs 0.4 points in the last 5, and the hosts’ poor shot efficiency, I tip the visitors to win.

Although 22 de Julio has strong offensive metrics (1.8 goals per game on average and BTTS in 80% of their home matches), San Antonio has only 33% of seasonal matches with both teams scoring and keeps a clean sheet in 50% of games, which weakens the Goal/Goal scenario. In the last 5 matches 22 de Julio scored a total of 1 goal (0.2 per game) and conceded 1.2 goals per game, while San Antonio scored 6 goals in those 5 matches (1.2 per game), indicating better attacking form from the visitors. Chance data shows a home advantage in creating opportunities — xG 1.46 and an average of 5.0 shots on target for 22 de Julio versus xG 0.94 and 2.67 shots on target for San Antonio — however the visitors’ finishing is poor (9% conversion), which limits their real threat. The combination of San Antonio’s high clean sheet rate (50%), the visitors’ low seasonal BTTS share (33%) and the hosts’ poor recent scoring form provides a stronger signal for No Goal. Therefore I assess the probability of No Goal at about 65% versus 35% for BTTS - Yes and recommend a No Goal wager.

Hosts score on average 1.8 goals per game, guests 0.83, which sums to 2.63 goals per game. Average xG is 1.46 for 22 de Julio and 0.94 for San Antonio; comparing offensive xG to opponents’ defensive xG (1.20 and 1.29) yields expected values of 1.49 for the home side and 1.02 for the visitors, total 2.51 goals. A Poisson model with mu=2.51 gives probability of >1.5 around 72%, >2.5 around 46% and >3.5 around 25%, therefore Over 1.5 is the most reliable signal. Additionally, hosts average 12.8 shots (5.0 on target) with a 14% conversion versus visitors’ 8.83 shots (2.67 on target) and 9% conversion, which increases the likelihood of home goals. Considering that at home the hosts have 80% of matches over 1.5 and that the visitors scored 6 goals in the last 5 matches (1.2 avg), I recommend Over 1.5 as the strongest signal.

The strongest half-time signal is a draw: the home team were level at the break in 4 of 5 matches (80%), and the visitors in 4 of 6 matches (67%), so I assess the probability of a draw at half-time at approximately 72%. Over the full match the home side has the offensive edge — averaging 1.8 goals per match versus 0.83 for the away team, xG 1.46 versus 0.94 and 5.0 shots on target versus 2.67 — which increases the hosts’ chances of a win after the break. Nevertheless, final score statistics show a strong tendency toward draws (the home team draw 60% of matches), and by half-time the hosts had scored 7 goals versus 2 for the visitors, which supports a draw remaining the most common scenario. The away side score more often late (2 goals in minutes 61–75 and 3 goals in minutes 76–90), so late turnarounds are possible, but they do not outweigh the hosts’ advantage in xG and shots. On this basis I recommend X/X (draw at Half-Time and draw Full-Time) as the strongest scenario, with X/1 (draw HT, home win) as the second most likely outcome.