U. San Martin vs Comerciantes Unidos Prediction

In an upcoming match in the Peru Liga 2, Universidad San Martin will take on Comerciantes Unidos. Universidad San Martin currently sits in 9th place in the league standings with 15 points, while Comerciantes Unidos holds the top spot with an impressive 31 points.

Universidad San Martin enters the match on the back of a winless streak in their last three games, including two consecutive draws. Their home form has been mixed, with one draw, two wins, and two losses in their recent matches. Hosts, on the other hand, remain unbeaten in their last eight league games.

On the other hand, Comerciantes Unidos has been in excellent form, especially on the road. They have secured victories in their recent matches, scoring multiple goals, including impressive results like 5-0 and 5-1. This indicates their ability to find the back of the net consistently.

In their previous meeting in 2018, Comerciantes Unidos emerged victorious with a 3-1 scoreline. However, it’s important to note that this was several years ago, and both teams have likely undergone changes since then.

Considering recent performances, Universidad San Martin has shown the ability to score goals, finding the back of the net in their last eight games. Comerciantes Unidos, on the other hand, has demonstrated their attacking prowess with high-scoring victories in their recent matches.

Taking all these factors into account, we predict that Comerciantes Unidos will win this match. Furthermore, we anticipate a high-scoring encounter, with over 3.5 goals expected. Additionally, both teams have shown their ability to score goals, so we predict that both teams will find the back of the net.

U. San Martin have scored 7 goals and conceded 7 goals in their last 5 games.

Comerciantes Unidos have scored 18 goals and conceded 3 goals in their last 5 games.

The match prediction for the football match between U. San Martin and Comerciantes Unidos in the Segunda División uses several algorithms including team form comparison, head-to-head (h2h), and other important statistics.

We use these advanced statistical models in combination with the most recent news and expert opinions to analyze data and come up with the most accurate predictions possible.