Канал: Friends of Tracking

Voronoi Diagrams

Voronoi Diagrams

Distance In R2

Distance In R2

Soccer Fields And The Euclidean Plane

Soccer Fields And The Euclidean Plane

Euclidean (also called the Coordinate) Plane

Euclidean (also called the Coordinate) Plane

Making heat maps of actions

Making heat maps of actions

Maram AlBaharna: Visualising and clustering passes

Maram AlBaharna: Visualising and clustering passes

Tom Worville: how data is reshaping football journalism

Tom Worville: how data is reshaping football journalism

The future of possession value models

The future of possession value models

What do data analysts and data scientists do at a football club?

What do data analysts and data scientists do at a football club?

Trailer for part two of Vosse de Boode (Ajax)

Trailer for part two of Vosse de Boode (Ajax)

Measuring Defensive Roles and Contribution Using Tracking Data

Measuring Defensive Roles and Contribution Using Tracking Data

Pattern matching in football event data

Pattern matching in football event data

Paul Power: neural networks for understanding defending

Paul Power: neural networks for understanding defending

John Burn-Murdoch: data visualisation is about words

John Burn-Murdoch: data visualisation is about words

Data driven video analysis

Data driven video analysis

Friends of Tracking Is Back!

Friends of Tracking Is Back!

Friends of Tracking Live Stream

Friends of Tracking Live Stream

Analysing defensive positioning and attacking runs

Analysing defensive positioning and attacking runs

Exporting your pass flow map to Tableau.

Exporting your pass flow map to Tableau.

Creating a pass flow graph in R

Creating a pass flow graph in R

Presentation by the PSG group.

Presentation by the PSG group.

Inter Milan Club, Player & Fitness

Inter Milan Club, Player & Fitness

Football's Fundamental Equation

Football's Fundamental Equation

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

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

Combining data science and sports science, with Benfica's head of data science. (Part 2)

Combining data science and sports science, with Benfica's head of data science. (Part 2)

Skillcorner present a new set of freely available broadcast tracking data from top leagues

Skillcorner present a new set of freely available broadcast tracking data from top leagues

Models for evaluating players part 4: Possession chain models

Models for evaluating players part 4: Possession chain models

Models for evaluating players part 3: Markov models

Models for evaluating players part 3: Markov models

Models for evaluating players part 2: Player radars

Models for evaluating players part 2: Player radars

Models for evaluating players part 1: Plus/minus and EA player ratings

Models for evaluating players part 1: Plus/minus and EA player ratings

Valuing actions 4: Analysing models and results

Valuing actions 4: Analysing models and results

Introduction to tracking data in football.

Introduction to tracking data in football.

How IT is used within Clubs

How IT is used within Clubs

Randomness and prediction of matches

Randomness and prediction of matches

Evaluating players using match result and event data

Evaluating players using match result and event data

Statistical models of football

Statistical models of football

Good practice in data visualisation

Good practice in data visualisation

Lecture 1: Mathematical Modelling of Football

Lecture 1: Mathematical Modelling of Football

Valuing actions 3: training machine learning models

Valuing actions 3: training machine learning models

Measuring Style of Play in Football Using Statistics and Machine Learning

Measuring Style of Play in Football Using Statistics and Machine Learning

Live: Reports from the Liverpool Challenge

Live: Reports from the Liverpool Challenge

Player rank: performance evaluation for soccer players

Player rank: performance evaluation for soccer players

Beyond pitch control: valuing player actions and passing options.

Beyond pitch control: valuing player actions and passing options.

Exploring football match events in Python

Exploring football match events in Python

Valuing actions 2: generating features

Valuing actions 2: generating features

Live: Comparing player rating systems

Live: Comparing player rating systems

Valuing actions 1: from Wyscout data to rating players.

Valuing actions 1: from Wyscout data to rating players.

Valuing actions intro: The principles of valuing actions

Valuing actions intro: The principles of valuing actions

The Ultimate Guide to Expected Goals

The Ultimate Guide to Expected Goals

Live: How to discover the next Frenkie de Jong using data

Live: How to discover the next Frenkie de Jong using data

How to Build An Expected Goals Model 2: Statistical fitting

How to Build An Expected Goals Model 2: Statistical fitting

How to Build An Expected Goals Model 1: Data and Model

How to Build An Expected Goals Model 1: Data and Model

Creating an Interactive Shot Map (Part 2)

Creating an Interactive Shot Map (Part 2)

Liverpool Analytics Challenge

Liverpool Analytics Challenge

Creating passing networks with Barcelona data scientist Sergio Llana

Creating passing networks with Barcelona data scientist Sergio Llana

Friends of Tracking Live: MLS Masterclass

Friends of Tracking Live: MLS Masterclass

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

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

Seeing in to the future: modelling football player movements

Seeing in to the future: modelling football player movements

Seeing in to the future: modelling football player movements

Seeing in to the future: modelling football player movements

Friends of Tracking Live: Homework and more

Friends of Tracking Live: Homework and more

Friends of Tracking Live: Homework and more (part 2)

Friends of Tracking Live: Homework and more (part 2)

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

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

Liverpool FC data scientist William Spearman's masterclass in pitch control

Liverpool FC data scientist William Spearman's masterclass in pitch control

Creating an Interactive Shot Map (Intro to R Shiny 1/3)

Creating an Interactive Shot Map (Intro to R Shiny 1/3)

How Tracking Data is Used in Football and What are the Future Challenges

How Tracking Data is Used in Football and What are the Future Challenges

Introduction to football analysis with tracking data in python.

Introduction to football analysis with tracking data in python.

How to create the mathematically perfect press using pitch control.

How to create the mathematically perfect press using pitch control.

Making Your Own Shot and Pass Maps

Making Your Own Shot and Pass Maps

Loading in and investigating World Cup data in Python

Loading in and investigating World Cup data in Python

Tools for getting started in football analytics.

Tools for getting started in football analytics.

Tools for getting started in football analytics. (Summary of discussions)

Tools for getting started in football analytics. (Summary of discussions)

Setting Up to do Data Science

Setting Up to do Data Science

Getting Started with R + StatsBomb | Analyzing Squad Rotation & Clustering Passes

Getting Started with R + StatsBomb | Analyzing Squad Rotation & Clustering Passes

How to explain expected goals to a football player.

How to explain expected goals to a football player.

Advice for anyone who wants to become a football data scientist

Advice for anyone who wants to become a football data scientist

How to become a football data scientist.

How to become a football data scientist.