In recent years, there has been a significant rise in the use of data analytics and machine learning in sports. One individual who stands out as a key contributor to this field is Alan Franco, the head coach of Brazilian football club Flamengo.

Franco has been instrumental in developing a system that uses assist data to improve the team's performance on the pitch. Assist data refers to information that can be used to predict where the ball will land if a player receives a pass from another player. This data can help coaches identify players who have the potential to create opportunities for their teammates by receiving passes and creating scoring chances.

Franco's approach to using assist data has proven to be successful. In his first season with Flamengo, the team finished second in the league and reached the semi-finals of the Copa Libertadores. This success was attributed in part to the use of assist data, which helped the team identify players who had the potential to create goals for their teammates.

One example of how assist data has been used successfully by Flamengo is in the case of striker Gabriel Jesus. Jesus has scored many goals throughout his career, but he often struggled to find the net when he received passes from his teammates. However, with the help of assist data, Jesus' passing ability was identified and he started to receive more accurate passes from his teammates, leading to an increase in his goal-scoring rate.

Overall, Alan Franco's use of assist data has played a crucial role in improving the team's performance at Flamengo. By identifying players who have the potential to create scoring opportunities for their teammates, Franco has helped the team achieve success both domestically and internationally.

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