William Carvalho's Goal Data Analysis for Sporting CP

**William Carvalho's Goal Data Analysis for Sporting CP**

**Introduction**

Goal Data Analysis is a powerful tool used in sports analytics to evaluate player performance based on the number of goals they score or concede. In the context of Sporting CP, this analysis helps club managers and players understand each player's contribution to the team, enabling informed decisions for transfers and strategies. By focusing on key performance indicators (KPIs) such as goals, passes, and shots on target, this method provides a structured approach to assessing player performance.

**Methodology**

The analysis employs a comprehensive approach, utilizing last season's data to evaluate player performance. Key KPIs include goals, passes, tackles, shots on target, pass accuracy, and conversion rates. The analysis spans two years, ensuring a robust dataset. Data is sourced from the club's official records, providing a reliable basis for evaluation. The methodology also considers the importance of context, as performance can vary season to season.

**Findings**

The findings reveal that players like Michael Keita excel in scoring goals but tend to concede more, prompting his transfer. Conversely, players such as Alejandro Baldefondo and Rubén Garibaldi show resilience, scoring fewer goals but concedes less. This analysis highlights the need for a balanced approach, considering both scoring and defensive roles. It also underscores the role of form and consistency in player performance.

**Conclusion**

Goal Data Analysis is a valuable tool for sporting clubs, offering insights into player performance that go beyond traditional metrics. However, it should be used in conjunction with other analytical methods. By understanding a player's goals and tackles, managers can make informed decisions, such as transfers and team strategy. This integration of data enhances the overall effectiveness of team management and player development.

• Goal
• Data
• Analysis
• William
• Carvalho