devinpleuler

@centralwinger.com

Goalkeeper. he/him.

In the wake of FBref's defacto death, I saw a lot of posts suggesting alternate data sources. Unfortunately, many of them focus exclusively on men's soccer. To measure what options remain for woso, I conducted a survey of the most popular FBref alternatives. What I found is disappointing: 🧵

Bar chart
Title: Best sources for women's soccer data
Subtitle: Women's competitions with xG Data | 8 comps surveyed
Chart shows # of comps on y-axis. Only FBref scored 8/8. Next closest is Fotmob at 4.

So if Distance is flat, and Sprints are up, that means ... Walking must also be up? There has to be some sort of reciprocal change to the ensure balance. I'm having a very difficult time believing this data, especially after the inflation of stoppage time added minutes.

John Burn-Murdoch@jburnmurdoch.ft.com · last yr.

NEW with @simonkuper.bsky.social: The prevailing narrative around increased injuries and player workload in elite football is wrong. Players don’t play any more football than in the past. What has changed is a sharp rise in intensity of play. Not more minutes, but each minute exerts more load.

Is there a conceptual issue with performing a bayesian update on xG measurements after a shot? The outcome is pretty useful information, and it's a mathematically valid approach. I assume someone has already tried this?

🏃‍♂️⏪ 🏃‍♀️ 𝐀𝐧 𝐈𝐧𝐭𝐮𝐢𝐭𝐢𝐯𝐞 𝐌𝐞𝐚𝐬𝐮𝐫𝐞 𝐟𝐨𝐫 𝐏𝐫𝐞𝐬𝐬𝐢𝐧𝐠 𝐢𝐧 𝐒𝐨𝐜𝐜𝐞𝐫 It's been over a year now since I was invited to present my 𝐏𝐫𝐞𝐬𝐬𝐢𝐧𝐠 𝐈𝐧𝐭𝐞𝐧𝐬𝐢𝐭𝐲 metric to a small group of people at a SkillCorner event in Dallas, TX. I've finally put some effort into writing a blog on it! unravelsports.github.io/2024/12/12/p...

🔬 An Intuitive Measure for Pressing

For a long time I’ve had the aim to develop an intuitive measure for pressing that can be used by coaches, assistants and (data) analysts to identify and analyze pressing situations, compute advanced ...

unravelsports.github.io