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On demand: An introduction to football modelling: Can we predict the future?

No Charge
Available
All Locations
Data Analytics
Sep
22
Wed
14:00
-
15:00 BST
Schedule Type Title: Weekdays
Sessions: 1
Session Hours: 1.00
Zoom Link: https://icaew.zoom.us/rec/play/hM98wooAd0le8nsuBqiBbDPX56tJRjwpaYg_55T8Klic9T4moLibJE3p7wmCjGJ_JxVz3OAn_rHzhXoI.4_8FYirSOBGWxkEZ
On demand
Anytime
Description
Book here
  • Description

Plan your year of data analytics training with our 2021 series of free webinars.

Date and time Location
22/09/2021 14:00 - 15:00 On demand

Event Information

In this webinar, Rob Mastrodomenico will look at the fundamental principles behind the beautiful game, specifically how you can characterise what is important and not important in a match between two sides.

Rob will introduce a machine learning approach applied to football. The method assumes goals scored by each team can be modelled allowing us to obtain ability parameters for each team. The method will be demonstrated via a first principles approach building up from a very simple model to the final model. Rob will demonstrate how the output can be used to make predictions of upcoming games via a number of real life examples including the English Premier League.

Key benefits

  • Introduction to how machine learning can be applied to real life problems
  • Understanding of the application of machine learning models

Speaker

Robert Mastrodomenico, Owner, Global Sports Statistics
Robs background is in Data Science and Machine Learning (ML) having completed a degree in Mathematics and Statistics and a PhD in Applied Statistics. His research interests are in the application of ML techniques to sports applications. He is also a keen Python programmer and has been teaching the subject for a number of years and will have his first book on the subject in 2021. Rob runs his own consultancy company specialising in Data Science applications and has also taken on CTO roles in various companies. Outside of work Rob has done lots in the area of communicating data driven stories and has made appearances of BBC TV, as well as other major print media and radio.

Costs

RateCost
Community Member - Entertainment, Sport & MediaNo Charge
Community Subscriber - Entertainment, Sport & MediNo Charge
Community Member - Data AnalyticsNo Charge
Community Subscriber - Data AnalyticsNo Charge

ICAEW members and non-members are welcome to join. To attend the webinar, you must join the community. Please click here to join the Data Analytics community and click here to join the Entertainment, Sports & Media community.

FAQs

Should you experience any difficulties booking onto the event, please go to our events support page - how to book.

Disclaimer

The opinions expressed by external guest speakers in interviews or other publications included on this website are, by their nature, those of the speaker. They are not necessarily fully endorsed by the ICAEW or purport to reflect the official policies and views of the ICAEW or its members.

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