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JK Profile picture
JK
@_JKDS_
Data Scientist - Football data analytics and vis
May 23, 2024 • 17 tweets • 6 min read
BIG THREAD OF DATA VIZ FOR THE PREMIER LEAGUE 23/24 SEASON (1/17) Image Which players created the most threat (xT) from each zone of the pitch? (2/17) Image
Jul 23, 2023 • 7 tweets • 2 min read
📊What are the characteristics of successful Championship teams? And how does this compare to the Premier League?

A look at how strongly a range of team metrics correlate with points accumulated in a season, using data from the last 5 Championship seasons. (1/7) Image Having already completed the same analysis on the Premier League (using data from the previous 5 seasons), we will compare the correlation scores to understand the differences between successful Championship teams and successful EPL teams (2/7)

Jul 19, 2023 • 6 tweets • 2 min read
📊What are the characteristics of successful Premier League teams?

Investigating how strongly a range of team metrics correlate with points accumulated in a season, using data from the last 5 Prem seasons.

Correlation scores indicate strength & direction of correlation (1/5) Image Correlation scores are in the range [-1, 1], with magnitude > 0.4 indicating moderate correlation with points.

We know that goal diff and points will be closely related, and we include it to demonstrate a metric that correlates extremely strongly with points: r =0.97 (2/5) Image
May 29, 2023 • 14 tweets • 5 min read
BIG THREAD OF PREMIER LEAGUE DATA AND VISUALS.

An extensive collection of data visuals, statistics and insight that covers the entirety of the Premier League 22/23 season. (1/14) Image Teams ranked by total threat creation. Liverpool, Leeds & Chelsea significantly underperforming based on threat created.

Forest some way off the rest of the league by this metric, making their survival even more impressive! (2/14) Image
Feb 12, 2023 • 12 tweets • 4 min read
📊🧵Big thread of EFL Championship data and visuals!

Up first, which teams have generated the most "threat" per 90, and from which areas of the pitch? (1/12) Which players have generated the most "threat" per 90 for their respective teams - broken down into threat creation through passes and carries. (2/12)
Jan 10, 2023 • 9 tweets • 2 min read
🆕📊 Premier League - Full Back (FB) interplay

Liverpool FBs have a reputation for combining to switch play and create chances, but which other team's FBs combine well?

Ranking teams by mean threat generated /90 through in-play passes between starting full-backs.

A thread: Image Firstly, let's address how we assess the 'quality' of passes between FBs. We use xT as a statistical measure of the impact that the pass has on a team’s probability of scoring.

However, it does not tell us what actually happens after the pass, which is clearly important.