Introduction to football analysis with tracking data in python.
This is the fourth lecture in our series on football data analysis in Python. Laurie Shaw gives an introduction to working with player tracking data, and shows how to create shot maps with both tracking and event data. The sample data used in this video was kindly provided by Metrica Sports and can be found here: https://github.com/metrica-sports/sam... The code covered in this video can be found here: https://github.com/Friends-of-Trackin...

▶︎
Delving deeper into the tracking data with python: measuring the physical performance of players.

▶︎
Football AI Tutorial: From Basics to Advanced Stats with Python

▶︎
Predict Football Match Winners With Machine Learning And Python

▶︎
Solving real world data science tasks with Python Pandas!

▶︎
How I Would Learn Sports Analytics (If I Could Start Over)

▶︎
How to Make Graphs Like The Athletic in Python

▶︎
How to get started in football data analytics (Tableau, Python, R) - Create Data Visualisations!

▶︎
Spotify Top Pop Hits 2026 🎧 Bruno Mars, Lady Gaga, Taylor Swift, Charlie Puth, Ed Sheeran,The Weeknd

▶︎
Technical and Tactical Football Analysis Through Data

▶︎
What Football Analytics can Teach Successful Organisations | Rasmus Ankersen | TEDxManchester

▶︎
Deep House Mix 2026 | Emotional Night Drive, Vocal House, Nu Disco | Chill Mood

▶︎
Advanced football analytics: building and applying a pitch control model in python.

▶︎
40Hz Binaural Gamma Waves - Ultra Deep Concentration

▶︎
Combining data science and sports science, with Benfica's head of data science. (Part 1)

▶︎
2026 Relaxing Piano & Birdsong 🕊️ Calm Mind, Deep Sleep, Stress Relief & Peaceful Nature Ambience

▶︎
Loading in and investigating World Cup data in Python

▶︎
Belgien – Senegal Highlights | Sechzehntelfinale, FIFA WM 2026 | sportstudio

▶︎
Adobe Illustrator for Beginners | FREE COURSE

▶︎
Exploring football match events in Python

▶︎
