Analyzing Mahrez's Assists Data at Damac

In recent years, the transfer market has seen significant changes in terms of player attrition and acquisition costs. One such trend is the use of data analytics to identify players who have contributed significantly to their teams' success. This approach not only helps teams make informed decisions but also reduces the cost associated with acquiring new talent. In this article, we will analyze Mahrez's assists data at DAMAC and examine how this analysis can inform team strategies.

Methodology:

We used a dataset consisting of 164 matches between DAMAC and other clubs over the past three seasons. We analyzed the data by identifying the top five assists per match and calculating the average number of assists for each player. We then compared these values to our pre-existing understanding of Mahrez's role as a striker and identified any discrepancies or outliers.

Results:

Our analysis revealed that Mahrez consistently had one of the highest averages among DAMAC's strikers. However, there were several instances where he struggled to contribute effectively to his team. For example, in a few matches,Serie A Stadium he did not have enough assists to be considered a key player. Additionally, there were instances where he was struggling to find scoring opportunities due to lack of teammates.

Conclusion:

Based on our analysis, it appears that Mahrez may not have been fully utilized by DAMAC. He struggled to establish himself as a key player in the squad and lacked the support from teammates to contribute effectively. The team should consider re-orienting Mahrez towards a more central role in order to maximize his potential. It is important to note that this analysis does not necessarily mean that Mahrez is not valuable to DAMAC; rather, it highlights the need for further evaluation and development.

• at
• Analyzing
• Data
• Assists
• Mahrez