Marquinhos' Pass Success Rate in São Paulo: A Key Factor for Midfield Performance


Updated:2025-07-23 08:30    Views:159

Marquinhos is one of the most talented Brazilian footballers of all time. He was born on February 11, 1992, in Rio de Janeiro, Brazil, and started his professional career with Flamengo FC before moving to Paris Saint-Germain (PSG) in 2014.

One of Marquinhos' most impressive skills is his passing ability. In the early stages of his career, he demonstrated exceptional vision and creativity, which allowed him to create scoring opportunities for himself and his teammates. However, as he has progressed through the ranks at PSG, his pass success rate has become even more remarkable.

According to data from Transfermarkt,Football New Track Marquinhos has averaged a pass success rate of 88.7% over the past two seasons. This figure is significantly higher than the average pass success rate of top-level players across all sports, and it is one of the highest in the world. In fact, only Lionel Messi (95.4%) and Cristiano Ronaldo (88.6%) have higher pass success rates than Marquinhos.

The key factor behind Marquinhos' incredible pass success rate is his exceptional vision and decision-making abilities. He is able to see the game from multiple angles and anticipate his opponents' movements, allowing him to make precise passes that often result in goals or assists. His skillful passing also helps to set up attacking plays, which can be crucial in modern football where possession is so important.

In addition to his passing ability, Marquinhos is also known for his work rate and defensive contributions. He is always willing to put himself in harm's way to win the ball back and help his team defend. His hard work and dedication to the sport have earned him the respect and admiration of fans and fellow professionals alike.

Overall, Marquinhos' pass success rate is a testament to his exceptional talent and commitment to the game. As he continues to perform at the highest level, it will be interesting to see how this statistic evolves in the future.