PREDICTING INJURY IN FOOTBALL USING PITCH QUALITY, PLAYER’S FUNCTION, PLAYER’S AGE AND MATCH INTENSITY: A CASE STUDY OF THE 2017 AFRICAN CUP OF NATIONS

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  • Department: Management
  • Project ID: MGT0110
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  • Pages: 59 Pages
  • Format: Microsoft Word
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Abstract Football is the most popular sport in the world, and many individuals have taken advantage of it to earn a living and improve upon their standards of living. Injuries are also unfortunate incidents that occur in daily life and in sports, which affect an individual’s ability to make good use of his sporting talent to earn a living for himself and his family. In this project, modifiable risk factors that affect a player’s likelihood of getting an injury are identified, and their individual contributions to injury of a player is assessed. A predictive model for determining important risk factors for determining injuries in football is generated using the identified risk factors: pitch quality, match intensity, player function and player age

PREDICTING INJURY IN FOOTBALL USING PITCH QUALITY, PLAYER’S FUNCTION, PLAYER’S AGE AND MATCH INTENSITY: A CASE STUDY OF THE 2017 AFRICAN CUP OF NATIONS
For more Info, call us on
+234 8130 686 500
or
+234 8093 423 853

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  • Type: Project
  • Department: Management
  • Project ID: MGT0110
  • Access Fee: ₦5,000 ($14)
  • Pages: 59 Pages
  • Format: Microsoft Word
  • Views: 500
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    Details

    Type Project
    Department Management
    Project ID MGT0110
    Fee ₦5,000 ($14)
    No of Pages 59 Pages
    Format Microsoft Word

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