**Cengiz Ünder's Attacking Efficiency for Marseille: A Comprehensive Analysis**

Cengiz Ünder, the newly appointed manager at Marseille, has been closely monitoring his team's attacking efficiency to improve their performance. Understanding and assessing this is crucial for a team's success, as attacking efficiency directly impacts the number of goals scored and the overall game outcome.

Attacking efficiency is measured by the quality of the attack a team conveys and the number of chances they create. A higher attack efficiency percentage indicates a more effective attack. For Marseille, the average attack efficiency is 65.9%, which is a solid figure. This percentage reflects the team's ability to create chances and score goals.

**Expected Goals Against (xGA)**

xGA is a key metric used to gauge the quality of an attack. It represents the number of expected goals against per attack. For Marseille, xGA is 61.2, which shows they create more chances than their opponents. This metric is crucial in understanding the quality of the attack and how effective it is in converting chances into goals.

**Expected Goals Against (xG)**

xG stands for expected goals against per attack, calculated using a statistical model like PLS. It measures the number of goals the team is expected to concede. For Marseille, xG is 29.4, indicating they score more goals than their opponents. This metric is essential in assessing the team's goal-scoring ability.

**Passing Quality**

Passing quality is another critical metric. For Marseille, 47.8% of their passes result in a goal, and 38.1% of their tackles lead to a goal. This shows their attacking quality, as these metrics indicate how many passes and tackles are used to score. A higher percentage of passes and tackles leading to goals suggests a strong attacking style.

**Tackling Quality**

Tackling quality is measured by the number of tackles that lead to goals. For Marseille, 38.1% of their tackles result in a goal, highlighting their ability to create winning chances. This metric is vital in understanding how well they can create pressure in the opposing team.

**Conclusion**

Cengiz Ünder's team has a strong attack efficiency, with an average of 65.9%. This metric reflects the quality of their attack and their ability to create chances. Understanding these metrics is crucial for assessing a team's attacking performance and improving their game. By focusing on these statistics, Marseille can enhance their attacking efficiency and increase their chances of winning matches.

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