GET FIT TECH
Sign up for the FREE digital edition of Fit Tech magazine and also get the Fit Tech ezine and breaking news email alerts.
Not right now, thanksclose this window
Technogym
Technogym
Technogym
Get Fit Tech
digital magazine
features

Fit Tech People: Patrick Lucey

VP of AI, Stats Perform

We can capture tracking data from historical videos, enabling us to do large scale comparisons of players, such as Michael Jordan, across eras

Published in Fit Tech 2020 issue 2

How does AI assist the sports industry?
Many of us rely on AI-based technology without even knowing it. For example, when we use Google Maps, it gives us an estimate of a route and time it takes to get to a destination by using AI. Or when we order an Uber or Lyft, it connects us to a driver and calculates the fare.

These are examples of assistive technology – enabling people to make easier/better/quicker decisions, and they not only emulate but sometimes surpass what humans can do.

The reason these companies are able to achieve this ‘super human’ capability, is that they’ve utilised an enormous amount of data. The more data you have, the better your AI technology will be - simple as that.

When it comes to the sheer volume of data in the sports industry – both historically in terms of capturing all games played, and also in terms of granularity (details of locations and times of games played) – no other company has the volume of sports data we have at Stats Perform.

We cover all sports and we capture details of them at a depth no other company does, which positions us as the best sports AI company.

The goal of our AI technology is to help all segments of the sports industry to make better and quicker decisions, as well as to do things they couldn’t beforehand.

Can you give us an example?
Football (soccer) is a hard sport to analyse because it’s low-scoring, continuous and strategic. For these reasons, the current statistics used, such as possession percentage, number of passes, corners and tackles, don’t correlate with goals scored and who won the match.

Our AI-based metrics, such as expected goals, quality of passes and playing styles, correlate far more accurately with the number of goals scored when compared with standard statistics. Our AI metrics measure performance better.

Using these AI tools, we were able to show how UK team Leicester City won the 2015-16 English Premier League title. Basically, it wasn’t the goal-scoring exploits of players Jamie Vardy or Riyad Mahrez that won the game, the result was down to goalkeeper, Kasper Schmeichel, who saved five more goals than the average Premier League goalkeeper, and their defenders who intercepted the most 50-50 balls – especially midfielder Ngolo Kante.

What else can your software do?
There are things in football that can’t be measured reliably by humans, such as a team’s formation.

Using our AI techniques – most notably our unsupervised clustering method – we can automatically find a team’s formation at every frame of a match. We’re very proud of this, as we’re the first group to be able to do this and it’s a central feature of our Edge football software.

Outside football, we‘ve also recently launched a couple of new AI-based products for analysing NFL and NBA, called VQ and Insights.

The VQ (victory quotient) system, uses our wealth of data in both the NBA and NFL, as well as our deep learning models to provide predictions of performance of every player in every match. That’s the power of AI, as we can scale our models to provide these predictions for every match being played.

Additionally, we’ve launched our Insights Live product, which provides notable information during every match using our deep data, in tandem with our natural language generation platform, which is another great example of using AI to scale and provide information where it wasn’t previously available.

How is AI changing the world of sports for consumers and competitors?
The reason sport is so compelling is that it’s played and coached by humans who are constantly making decisions in the heat of the moment – often the wrong decision.

Every single decision that a coach or player makes can be broken down, analysed and debated and at Stats Perform, we have the data on every decision coaches and players make, which means that by using our AI technology, we can provide objective analysis on each decision.

This is compelling for front-offices as we now have a better measure of performance.

It’s the same for audiences at home. Every sports event is now a talking point and we can make it even more compelling by providing a reliable prediction service for consumers.

Our AI technology is also the ultimate decision analysis tool, enabling everyone associated with the sports world to make better decisions.

Sports are increasingly being broadcast and consumed via mobile and the internet and this means raw and AI-based metrics are required to make more interactive and compelling experiences.

How can AI maximise old data?
We have the most sports data on the planet. To continually improve, we want to collect even more, with a granularity that a human could not do manually. That’s how our AutoStats functionality works.

This utilises computer vision, which captures a player’s skeleton from a broadcast video frame and then provides player tracking and event data.

Our goal is to collect tracking data from every sports video that has ever existed – which essentially enables us to travel back in time.

Take basketball as an example: tracking systems were not available in the 80s or 90s, so capturing the performance of Michael Jordan has not been possible... until now.

Using AutoStat, we can capture data from historical videos, enabling us to do comparisons of players across eras.

Will AI take the magic out of sport?
I get asked that question often. My honest belief is that we’re making sports better. Instead of it being a mere athletic endeavour (ie, the fastest and strongest prevail), we’re adding a cognitive dimension to the equation, where players and coaches have to also hone and perfect their cognitive function to best prepare for (and predict) the strengths and weakness of opponents.

How will AI change sport?
Currently top professional athletes receive the best analysis and coaching. AI technology will democratise this to the point that everyone, whether amateur or professional, kid or adult, can receive the best analysis and coaching for free.

More: StatsPerform.com

About Stats Perform
Based in Chicago
Founded in 1981 by John Dewan
Collects the world’s largest amount of sports data
Clients include media outlets, sports leagues and teams, fantasy sports and sports betting services
Pioneers in the computer vision tracking space, using it since 1999
Provide immediate insight on gameplay from more than 45 different sports
Sign up here to get Fit Tech's weekly ezine and every issue of Fit Tech magazine free on digital.
Gallery
More features
people

Patrick Lucey

VP of AI, Stats Perform
We can capture tracking data from historical videos, enabling us to do large scale comparisons of players, such as Michael Jordan, across eras
interview

Lindsay Cook, FitOn

Not everyone can afford an expensive piece of fitness equipment or a personal trainer, but everyone has a smartphone
interview

Paul Bowman, Wexer

The future of fitness is hybrid, says the CEO of Wexer. He shares his thoughts on why and how the industry should embrace this change
Editor's letter

Monetising digital

Having made a lightening fast pivot to digital during lockdown, gym operators are now figuring out how to optimise the assets they’ve invested in – it’s time to monetise digital and find ways to create hybrid models
people

Richard Hanbury

Founder and CEO, Sana
I was in Yemen, close to the capital, Sana’a, when I had the accident that put me in a wheelchair and gave me a chronic nerve damage pain problem. This led me to develop the underlying technology of Sana
interview

Sharon Hegarty, Samsung

We’ve worked with ecosystem partners, such as Calm and Fitplan, to bring their expertise to our devices
interview

Forme Life: Trent Ward & Yves Béhar

The screen is effectively a six foot tablet, so developing the product from scratch took time, lots of testing and millions of cycles
interview

PureGym

We’ve been ranked number two on the App Store for health and fitness, second only to Fitbit

Fighting COVID-19

In the aftermath of the pandemic, people will be more aware of the importance of their health and the strength of their immune system. Can fit tech alert users to potential immunodeficiencies or symptoms? And might these products assist governments? We asked industry leaders for their predictions
interview

Digital ecosystem

The digitisation of the sector was going to happen anyway. COVID-19 has simply accelerated the digital transformation
interview

Will Ahmed, Whoop

Whoop is taking wearable technology to the next level, providing deeper insights into individuals’ physiology and enabling optimised training. Founder and CEO Will Ahmed talks to Steph Eaves about the importance of personalised feedback
interview

Daniel Sobhani, Freeletics

People are set up for failure by the fitness industry with false promises and unrealistic expectations. We’ve always wanted to put a stop to this, and with Mindset Coaching we’re taking the next step

Create your own energy

A breakthrough in technology means wearable devices and other health and fitness products could soon be self-powered. Steph Eaves talks to Dr Ishara Dharmasena to find out how this could impact health and fitness

Functional wearables

A new ultra-thin, stretchable electronic material could be a game changer for wearable tech
people

Ian Mullane

Founder, Keepme
Using predictive and machine learning models, operators can hyper-personalise engagement
interview

Lauren Foundos, FORTË

We give data reports showing the most popular instructors, so they can get credit for driving users
people

Markos Kern

Founder & CEO, Fun With Balls
Like gaming, it’s very addictive, but this time in a good way. Imagine shooting space invaders on a squash court or kicking a soccer ball to kill some monsters

Class action

Jean-Michel Fournier, CEO of digital fitness outfit Les Mills on Demand, envisions the future of group fitness tech
people

Motosumo

Kresten Juel Jensen, CEO and co-founder and Nick Coutts, incoming chair
Everyone’s on their smartphones, so we saw this as a massive opportunity to gamify group fitness

Get smart

A new, smart exercise mask will analyse breath for a wide range of performance-related indicators, as Tom Walker explains
interview

Christopher Ruddock, INCUS

The NOVA is the first triathlon wearable worn on the upper spine. This allows unique measurement of the left and right sides and unlocks new understanding of body balance
interview

Krissy Cela

I’ve never tried to cover up my imperfections, I’ve been as authentic as I can be throughout my influencer journey
people

Sri Peruvemba

BeBop Sensors: VP of strategy
Our gloves allow users to have digital hands in virtual reality, and to manipulate objects as though they existed in real life
interview

Toni Knowlson, Amazon Web Services

We see this technology as an enabler in ensuring sporting organisations remain relevant
Featured supplier: Carbon Trainer raises the bar in strength training with next-generation AI Fitness Mirror
Carbon, creators of the first AI-powered at-home fitness mirror that tracks workouts announces the launch of Carbon Trainer.
Featured supplier: Myzone kicks off #WorkOutToHelpOut campaign
In response to the UK government’s Eat Out To Help Out scheme, Myzone has launched the Work Out To Help Out campaign.
Freemotion FUSION Team Training
FreeMotion Fitness
The High-Intensity Cardio-Strength Training. Read more
Company profile: Book4Time Inc.
Founded in 2004 by Roger Sholanki, Book4Time is a global provider of a cloud-based management ...
Company profile: Volution
Volution uses data to connect the digital with the physical and partners with health and ...
Red Light Therapy
 Red Light Rising: Red Light Therapy
Lockers/interior design
Safe Space Lockers Ltd: Lockers/interior design
Fitness Software
FunXtion International BV: Fitness Software
Fitness equipment
TRX Training: Fitness equipment
Software
Volution.fit: Software
30 Sep 2020
Exhibition Centre Cologne, Cologne, Germany
01-04 Oct 2020
Online,
07 Oct 2020
Palais Brongniart, Paris, France
Featured supplier: Carbon Trainer raises the bar in strength training with next-generation AI Fitness Mirror
Carbon, creators of the first AI-powered at-home fitness mirror that tracks workouts announces the launch of Carbon Trainer.
Featured supplier: Myzone kicks off #WorkOutToHelpOut campaign
In response to the UK government’s Eat Out To Help Out scheme, Myzone has launched the Work Out To Help Out campaign.
Company profile: Book4Time Inc.
Founded in 2004 by Roger Sholanki, Book4Time is a global provider of a cloud-based management ...
Company profile: Volution
Volution uses data to connect the digital with the physical and partners with health and ...
Freemotion FUSION Team Training
FreeMotion Fitness
The High-Intensity Cardio-Strength Training. Read more
Get Fit Tech
Sign up for the free digital edition of Fit Tech magazine and the free weekly Fit Tech ezine
Sign up
Red Light Therapy
 Red Light Rising: Red Light Therapy
Lockers/interior design
Safe Space Lockers Ltd: Lockers/interior design
Fitness Software
FunXtion International BV: Fitness Software
Fitness equipment
TRX Training: Fitness equipment
Software
Volution.fit: Software
30 Sep 2020
Exhibition Centre Cologne, Cologne, Germany
01-04 Oct 2020
Online,
07 Oct 2020
Palais Brongniart, Paris, France

latest news

Electronics giant LG has entered the fitness and wellness market with the launch of a new 15-inch touchscreen display created ...
A breakthrough in technology means wearable devices and other fitness products could soon be self-powered. Scientists from Loughborough University and ...
Apple has unveiled two new versions of its smartwatch at a digital event on 15 September – Apple Watch Series ...
Wearable tech firm Formsense has secured a technology partnership with an inter-interdisciplinary team of researchers looking to help stroke survivors ...
Les Mills has launched a trio of digital solutions to help fitness operators shift towards a hybrid model. Designed to ...
Keepme has launched its new V2 platform, which uses artificial intelligence (AI) to help operators monitor their members' entire customer ...
Be Military Fit (BMF), the outdoor fitness operator which is co-owned by Bear Grylls and NM Capital, has chosen Glofox ...
Indoor cycling giant Peloton has cut the price of its popular Bike, while launching two entirely new products for the ...
The Global Wellness Summit (GWS), has announced that a “Call for Wellness Innovations” contest, as well as a dedicated Tech ...
Wattbike has secured £11.5m worth of new funding from Piper, a specialist investor in branded consumer businesses. The indoor bike ...
Withings has announced the European availability of ScanWatch – a smartwatch that combines medical-grade electrocardiogram (ECG) and sleep breathing disturbance ...
Immersive equipment specialist Echelon Fitness has launched a new smart rower for the at-home fitness market. Echelon Rower features a ...
More news
features

Fit Tech People: Patrick Lucey

VP of AI, Stats Perform

We can capture tracking data from historical videos, enabling us to do large scale comparisons of players, such as Michael Jordan, across eras

Published in Fit Tech 2020 issue 2

How does AI assist the sports industry?
Many of us rely on AI-based technology without even knowing it. For example, when we use Google Maps, it gives us an estimate of a route and time it takes to get to a destination by using AI. Or when we order an Uber or Lyft, it connects us to a driver and calculates the fare.

These are examples of assistive technology – enabling people to make easier/better/quicker decisions, and they not only emulate but sometimes surpass what humans can do.

The reason these companies are able to achieve this ‘super human’ capability, is that they’ve utilised an enormous amount of data. The more data you have, the better your AI technology will be - simple as that.

When it comes to the sheer volume of data in the sports industry – both historically in terms of capturing all games played, and also in terms of granularity (details of locations and times of games played) – no other company has the volume of sports data we have at Stats Perform.

We cover all sports and we capture details of them at a depth no other company does, which positions us as the best sports AI company.

The goal of our AI technology is to help all segments of the sports industry to make better and quicker decisions, as well as to do things they couldn’t beforehand.

Can you give us an example?
Football (soccer) is a hard sport to analyse because it’s low-scoring, continuous and strategic. For these reasons, the current statistics used, such as possession percentage, number of passes, corners and tackles, don’t correlate with goals scored and who won the match.

Our AI-based metrics, such as expected goals, quality of passes and playing styles, correlate far more accurately with the number of goals scored when compared with standard statistics. Our AI metrics measure performance better.

Using these AI tools, we were able to show how UK team Leicester City won the 2015-16 English Premier League title. Basically, it wasn’t the goal-scoring exploits of players Jamie Vardy or Riyad Mahrez that won the game, the result was down to goalkeeper, Kasper Schmeichel, who saved five more goals than the average Premier League goalkeeper, and their defenders who intercepted the most 50-50 balls – especially midfielder Ngolo Kante.

What else can your software do?
There are things in football that can’t be measured reliably by humans, such as a team’s formation.

Using our AI techniques – most notably our unsupervised clustering method – we can automatically find a team’s formation at every frame of a match. We’re very proud of this, as we’re the first group to be able to do this and it’s a central feature of our Edge football software.

Outside football, we‘ve also recently launched a couple of new AI-based products for analysing NFL and NBA, called VQ and Insights.

The VQ (victory quotient) system, uses our wealth of data in both the NBA and NFL, as well as our deep learning models to provide predictions of performance of every player in every match. That’s the power of AI, as we can scale our models to provide these predictions for every match being played.

Additionally, we’ve launched our Insights Live product, which provides notable information during every match using our deep data, in tandem with our natural language generation platform, which is another great example of using AI to scale and provide information where it wasn’t previously available.

How is AI changing the world of sports for consumers and competitors?
The reason sport is so compelling is that it’s played and coached by humans who are constantly making decisions in the heat of the moment – often the wrong decision.

Every single decision that a coach or player makes can be broken down, analysed and debated and at Stats Perform, we have the data on every decision coaches and players make, which means that by using our AI technology, we can provide objective analysis on each decision.

This is compelling for front-offices as we now have a better measure of performance.

It’s the same for audiences at home. Every sports event is now a talking point and we can make it even more compelling by providing a reliable prediction service for consumers.

Our AI technology is also the ultimate decision analysis tool, enabling everyone associated with the sports world to make better decisions.

Sports are increasingly being broadcast and consumed via mobile and the internet and this means raw and AI-based metrics are required to make more interactive and compelling experiences.

How can AI maximise old data?
We have the most sports data on the planet. To continually improve, we want to collect even more, with a granularity that a human could not do manually. That’s how our AutoStats functionality works.

This utilises computer vision, which captures a player’s skeleton from a broadcast video frame and then provides player tracking and event data.

Our goal is to collect tracking data from every sports video that has ever existed – which essentially enables us to travel back in time.

Take basketball as an example: tracking systems were not available in the 80s or 90s, so capturing the performance of Michael Jordan has not been possible... until now.

Using AutoStat, we can capture data from historical videos, enabling us to do comparisons of players across eras.

Will AI take the magic out of sport?
I get asked that question often. My honest belief is that we’re making sports better. Instead of it being a mere athletic endeavour (ie, the fastest and strongest prevail), we’re adding a cognitive dimension to the equation, where players and coaches have to also hone and perfect their cognitive function to best prepare for (and predict) the strengths and weakness of opponents.

How will AI change sport?
Currently top professional athletes receive the best analysis and coaching. AI technology will democratise this to the point that everyone, whether amateur or professional, kid or adult, can receive the best analysis and coaching for free.

More: StatsPerform.com

About Stats Perform
Based in Chicago
Founded in 1981 by John Dewan
Collects the world’s largest amount of sports data
Clients include media outlets, sports leagues and teams, fantasy sports and sports betting services
Pioneers in the computer vision tracking space, using it since 1999
Provide immediate insight on gameplay from more than 45 different sports
Sign up here to get Fit Tech's weekly ezine and every issue of Fit Tech magazine free on digital.
Gallery
More features
people

Patrick Lucey

VP of AI, Stats Perform
We can capture tracking data from historical videos, enabling us to do large scale comparisons of players, such as Michael Jordan, across eras
interview

Lindsay Cook, FitOn

Today FitOn is a totally different experience. That’s the beauty of software – it’s so easy to improve and change to meet your members’ needs
interview

Paul Bowman, Wexer

The future of fitness is hybrid, says the CEO of Wexer. He shares his thoughts on why and how the industry should embrace this change
Editor's letter

Monetising digital

Having made a lightening fast pivot to digital during lockdown, gym operators are now figuring out how to optimise the assets they’ve invested in – it’s time to monetise digital and find ways to create hybrid models
people

Richard Hanbury

Founder and CEO, Sana
I was in Yemen, close to the capital, Sana’a, when I had the accident that put me in a wheelchair and gave me a chronic nerve damage pain problem. This led me to develop the underlying technology of Sana
interview

Sharon Hegarty, Samsung

We envisage a world where someone’s smart home can support their fitness regime
interview

Forme Life: Trent Ward & Yves Béhar

I think the big ‘a-ha’ moment was when we had the idea that a mirror would be the best way for somebody to learn
interview

PureGym

We’ve been ranked number two on the App Store for health and fitness, second only to Fitbit

Fighting COVID-19

In the aftermath of the pandemic, people will be more aware of the importance of their health and the strength of their immune system. Can fit tech alert users to potential immunodeficiencies or symptoms? And might these products assist governments? We asked industry leaders for their predictions
interview

Digital ecosystem

The digitisation of the sector was going to happen anyway. COVID-19 has simply accelerated the digital transformation
interview

Will Ahmed, Whoop

Whoop is taking wearable technology to the next level, providing deeper insights into individuals’ physiology and enabling optimised training. Founder and CEO Will Ahmed talks to Steph Eaves about the importance of personalised feedback
interview

Daniel Sobhani, Freeletics

People are set up for failure by the fitness industry with false promises and unrealistic expectations. We’ve always wanted to put a stop to this, and with Mindset Coaching we’re taking the next step
Technogym
Technogym