Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

What could be the next frontier in data analytics for rugby? How about "off the ball" data? Here is a sample of an animation generated from player GPS data - this was done to investigate defensive connectivity originating from a lineout.

124,447 görüntüleme • 2 yıl önce •via X (Twitter)

10 Yorum

@rugbykino.bsky.social profil fotoğrafı
@rugbykino.bsky.social2 yıl önce

This is *exactly* what I've been thinking about since starting on my thesis early this year. So much off the ball movement shapes the game both sides of the ball, it feels like there's an awful lot of context to be mined there.

Theunis Stofberg profil fotoğrafı
Theunis Stofberg2 yıl önce

The smsrt mouth guards giving realtime info on how many body punishment a player takes during a game

Simon Chi profil fotoğrafı
Simon Chi2 yıl önce

Lots of awesome work done with those mouthguards here in Calgary @SIPRC_ @SHRedConcussio1

Andrew Evans profil fotoğrafı
Andrew Evans2 yıl önce

Confident off ball movement is what separates the best.

Simon Chi profil fotoğrafı
Simon Chi2 yıl önce

See you in January Andy! 👍

Peter Martin profil fotoğrafı
Peter Martin2 yıl önce

Out of possession rather than Off the ball ought to be a benchmark for workrate in defence and in attack

Geoff Parkes profil fotoğrafı
Geoff Parkes2 yıl önce

Massive potential with this stuff. You can tell players so much but this is a visual they can easily understand

kenton profil fotoğrafı
kenton2 yıl önce

Training support vector machine (SVM) or Convoluted Neural Networks (CNN) to make the call on red card head contact tackles. AI can probably do it as well as human beings.

Ryszard Chadwick profil fotoğrafı
Ryszard Chadwick2 yıl önce

This is a game changer for coaches & player learning .

Walt profil fotoğrafı
Walt2 yıl önce

Some sort of analysis of where it would be optimal to place the ball, and by what means

Benzer Videolar

Major program launch: Data Analytics Professional Certificate! This large, five-course sequence takes you all the way to being job-ready as a data analyst, and shows how to use Generative AI as a thought partner to enhance your work in this role. Offered by on Coursera, this is taught by Sean Barnes, Ph.D., a Data Science & Engineering Leader at Netflix. Analyzing data remains one of the most important skills in where the world is going with AI. This comprehensive certificate takes you all the way to being job-ready. Each course comes with practical projects demonstrated in real-world contexts, such as analyzing sales data for a Korean bakery, video game sales trends across different regions, or identifying factors impacting customer retention for a communications company. You'll also work on estimating fire distribution for forest fire prevention, analyzing how a diamond's properties affect its market value, and developing predictive models for retail sales analysis, carbon emissions, and coral reef conservation. Here's some of what you'll learn: - How to define data and categorize it into its many types such as discrete & continuous numerical, structured & unstructured, time series, categorical, and know what insights can be derived from the different types of data categories. - How to differentiate between data-related job roles and their responsibilities, and how data flows through an organization from the moment of capture to decision-making. - How to perform data processing functions and apply conditional formatting in spreadsheets to extract business value from your data using statistical calculations and best practices for visualizing and interpreting data. - How to use LLMs for stakeholder analysis, data exploration, and data visualization. - Best practices for using LLMs for as a thought partner to data analysis work By the end of this professional certificate program, you will have learned core statistical concepts, analysis techniques, and visualization methodologies that will serve as the foundation for working as a data analyst. The world needs more data analysts, especially ones who know how to use modern generative AI. With data science roles projected to grow 36% by 2033, the skills taught in this program create new professional opportunities in data. Sign up here!

Andrew Ng

84,686 görüntüleme • 1 yıl önce