Exploratory Data Analysis for Predicting Injury in Soccer Players

Authors

  • Durgansh Sharma
  • Akhilesh Tiwari
  • Vaibhava Sharma

DOI:

https://doi.org/10.55487/ijcih.v1i2.10

Keywords:

Sports Injury, Lifestyle injuries, Soccer player injuries, Data Scraping.

Abstract

This research work proposes the model foranalysing the outcome for sports injury amongst soccer players.
The most important part is to keep the player motivated towards the game while keeping the player away from
the game for that instance. In this work, we are keeping injury as a dependent variable along with multiple
independent variables affecting the injury. The decision-making model using R is adapted for generating the
model for predicting sports injury. The inclusion of predictive analytics transforms the soccer player’s moves,
which after processed using the proposed framework predicts the injury in advance depending upon the life
styles of the respective soccer player. The majority of the injuries like Cruciate Ligament Rupture, Hamstring
Injury, Ankle Injury are taken under consideration towards this research work.

Author Biographies

Durgansh Sharma

Associate Professor, School of Business and Management, Christ (Deemed to be University), Delhi-NCR, Ghaziabad,U.P.-201003

Akhilesh Tiwari

Associate Professor, School of Business and Management, Christ (Deemed to be University), Delhi-
NCR, Ghaziabad, U.P.-201003

Vaibhava Sharma

Senior Executive, NLB Services, Noida, U.P.-201301

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Published

2021-08-31