Statistical Analysis: How Guémardi's Playing Time at Marseille Analyzed

### Statistical Analysis: How Guémardi's Playing Time at Marseille Analyzed

In the world of football analytics, understanding player performance is crucial for both teams and scouts alike. One such statistic that has gained significant attention in recent years is playing time. This metric provides valuable insights into a player’s contribution to their team’s success on the field. Let’s delve deeper into how Guémardi’s playing time was analyzed within the context of his time with Marseille.

#### Context of the Analysis

Guémardi, a midfielder known for his defensive prowess and creativity, played a pivotal role in Marseille’s midfield during his tenure from 2019 to 2022. His playing time data was meticulously tracked across various matches, providing a comprehensive view of his impact on the pitch.

#### Key Metrics Used

To analyze Guémardi’s playing time effectively, several key metrics were employed:

- **Minutes Played**: The total number of minutes spent on the field per match.

- **Assists**: Number of assists contributed to the team.

- **Goals Conceded**: Number of goals conceded while under his control.

- **Yellow Cards**: Number of yellow cards issued against him.

- **Red Cards**: Number of red cards received while under his charge.

- **Substitutions**: Total number of times he came off the bench.

#### Data Collection Process

The analysis involved collecting detailed statistics from multiple sources, including official club records, sports news outlets, and statistical databases like Opta Sports or Transfermarkt. Each game report provided minute-by-minute details about the actions taken by players, allowing for precise tracking of playing time.

#### Visualization Techniques

Graphs and charts were used to visually represent the data,Serie A Observation making it easier to understand trends over time. For example, bar graphs could show the average minutes played each season, highlighting periods where he was more active than others.

#### Insights Derived

From this analysis, some notable insights emerged:

- **Peak Performance Periods**: There were specific seasons when Guémardi performed exceptionally well, often highlighted by high assist numbers and low goal conceding rates.

- **Seasonal Patterns**: Certain months or games saw him play significantly more minutes due to tactical decisions made by the manager.

- **Impact on Team Goals**: He consistently contributed positively to scoring opportunities, often leading to important goals or assists.

#### Future Prospects

While the focus was primarily on past performances, this type of statistical analysis can also be useful for predicting future contributions. Understanding his playing style and identifying areas of improvement can help in formulating strategies for his development and integration into other teams.

In conclusion, analyzing Guémardi’s playing time at Marseille through meticulous data collection and visualization techniques offers a rich tapestry of information about his career trajectory. It not only highlights his strengths but also points towards potential areas for growth, making it a valuable tool for both clubs and fans alike.

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