Premier League Players Performance Analysis

Author

Pascal Hermann Kouogang Tafo

INTRODUCTION

This assignment aims to analyze the attacking performance of five elite Premier League players: Haaland, Salah, Palmer, Son, and Saka using the statistics covering goals, assists, and shots split by home and away fixtures at a given period of the season.We seek to identify meaningful patterns in finishing efficiency and goal contribution across different venues(Home/Away).

APPROACH

To conduct the analysis of the dataset, i will implement a structured data science pipeline using the “tidyverse” framework as followed:

  1. Create the data table in R and commit to an existing GitHub repository ensuring its accessibility at anytime.

  2. Reshape the raw data from wide to tidy (long) format using pivot_longer(), separating each statistic by venue (Home/Away)

  3. Shot conversion rate

  1. Compare the players Shot conversion rate by calculating as total goals divided by total shots
  2. visualised as a ranked bar chart using ggplot2 and a group-average reference line.
  3. Interpretation
  1. Goal contribution comparison (Home vs Away)
  1. Compute by summing goals and assists per venue
  2. displayed as a grouped bar chart to expose venue-dependent performance patterns
  3. Interpretation
  1. CONCLUSION