Analyzing the Performance of Premier League's Top 10 Midfielders with Radar Charts

2024-02-12 07:25:04

Recently, I have been compiling player data from Wyscout and using radar charts to analyze their performances. Previously, I compared midfielders like Havertz, Grealish, and Maddison. This time, I wanted to directly compare the top 10 midfielders from the Premier League using radar charts.

Before we proceed, there are a few points that need to be emphasized:

- The top 10 Premier League teams include Arsenal, Aston Villa, Brighton, Chelsea, Liverpool, Manchester City, Manchester United, Newcastle, Tottenham, and West Ham.

- The selection of midfielders is based on players who have played in the midfield position according to Wyscout's definition. Additionally, players must have played at least 900 minutes and be considered regular starters based on specific team criteria.

- The data is based on Wyscout's statistics, but I have made further calculations based on my own understanding.

- Due to the limit of discussing only five teams at a time, I will split the analysis into two parts. This article will focus on Manchester City, Manchester United, Newcastle, Tottenham, and West Ham.

- The data dimensions include shooting, ball control, passing 1, passing 2, and defense. Why are passing indicators split into two groups? It is because Wyscout's passing data is extensive and cannot be captured in a single radar chart.

- The data is compared to players who have played at least 900 minutes in the top five leagues this season and have played in the midfield position.

- All data is ranked as a percentage. For example, if a player's shooting attempts reach the 90% mark, it means their performance surpasses 90% of the comparison group.

- Some negative data, such as fouls committed, have been ranked in reverse order.

1. Shooting Data

Shooting data includes:

- Shots per 90 minutes

- Expected Goals (xG) per shot

- True shooting percentage

- Touches in opposition penalty area/received passes ratio

- Touches in the opposition penalty area.

Some key explanations for certain data:

1) Expected Goals (xG) per shot: This metric measures the quality of a player's shooting opportunities. It is influenced by both subjective and objective factors. Subjective factors refer to a player's ability to make well-timed runs, while objective factors include the player's tactical positioning and positioning within the formation.

2) True shooting percentage: This metric measures a player's shooting accuracy, calculated as "(Goals scored - Expected Goals) / Shot attempts." While this data is useful, it requires specific analysis depending on the context. One major factor that can influence this metric is the number of shot attempts. If a player has a low number of shot attempts, this metric may not accurately reflect their shooting ability. For example, if a player scores a spectacular goal but rarely takes shots afterward, their shooting percentage may appear high, even if their overall shooting ability is questionable.