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Injury Analysis of Soccer Players with Python
- The analysis focused on the injury trends of seven English Premier League teams during the 2023/24 season to understand the impact on player performance and recovery likelihood.
- Data was gathered from the 'Player Injuries and Team Performance Dataset' on Kaggle, covering teams like Tottenham, Arsenal, Aston Villa, Newcastle, Burnley, Brentford, and Everton.
- Key questions included the impact of injuries on player form and whether data could aid in managerial decisions regarding player futures.
- Newcastle had the most injuries, while Tottenham had relatively fewer, showing a correlation between average age of injured players and number of injuries.
- Ankle, knee, and hamstring injuries were the most common, with noticeable differences in recovery rates and impact on player ratings.
- The analysis indicated that players under 27 with one injury were more likely to return to form, while those with multiple injuries faced challenges in recovery.
- Players with knee injuries had difficulties returning to form, with knee injuries having a more significant negative impact compared to ankle or hamstring injuries.
- Exploring the data further revealed insights into the types of injuries per team, average player ratings before and after injuries, and the influence of injuries on final team standings.
- Recommendations included considering player age, injury type, and number of injuries when making decisions on team selection and player retention.
- Future work includes incorporating full team information, severity of injuries, and comparison of team performance before, during, and after injuries for more comprehensive analysis.
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