Data Strikers ⚽📊 | Turning raw football stats into smart insights—one successful transfer at a time. We tackle messy datasets, extract winning patterns, and collaborate like champions. Team spirit, trust, and data-driven storytelling fuel everything we do.

datascience python sports-analytics teamwork
1 Open Issue Need Help Last updated: Jul 7, 2025

Open Issues Need Help

View All on GitHub
Data Science Sports Analytics
Check-in with Evan Meeting about 2 months ago

AI Summary: The task involves preparing for a meeting with Evan to discuss three key aspects of a football data analysis project: 1) defining a success metric for player transfers (using existing platforms or creating a custom threshold), 2) improving the reproducibility of the transfer dataset (by documenting the manual collection process or re-collecting the data), and 3) deciding whether to use per-90 metrics or season averages for analysis, potentially adjusting the research question accordingly.

Complexity: 3/5
help wanted

Data Strikers ⚽📊 | Turning raw football stats into smart insights—one successful transfer at a time. We tackle messy datasets, extract winning patterns, and collaborate like champions. Team spirit, trust, and data-driven storytelling fuel everything we do.

Jupyter Notebook
#datascience#python#sports-analytics#teamwork