Will Football be Taken Over by Big Data?

7

October

2022

No ratings yet.

Brentford football club have seen a quick rise through the ranks of English football over the past 10 years. The team has seen a lot of success over the past years, both in terms of footballing results and financially. The team has risen from the 4th tier of English football to the top tier in less than 15 years and made 151 million profits on player sales in the last 5 years (Pisa, 2022).

The defining moment was the investment of Matthew Benham in 2009, leading to his full takeover in 2012. Benham was a boyhood fan of the club, he found success in using data to be able to predict football games, used by gambling firms to set their odds for football games. He then took over the club in 2009 and applied the same logic he used in his sports betting career to run his football club (Pompliano, 2021).

Benham instructed the club to find undervalued players. Using big data on all football leagues across Europe Brentford managed to target players whose statistics indicated that they were good football players but were used in the wrong position or were undervalued by the club. A good example of this is Neal Maupay, a French player, made his debut in the French first league at 16 showing strong potential, but through injuries and poor transfers ended up playing in the second league of France. Even here, people thought he was too aggressive and too angry. Brentford bought Maupay for 1.6 million as they could see his potential and his ability through statistics, he became their top scorer, helping them secure promotion and was sold 2 and a half years later for 19.8 million, so 18.2 million profits (O’Brien, 2020). Brentford did this multiple different times, through finding players whom they thought were undervalued, buying and developing them to lead Brentford to success and eventually sell the player to a larger club for a generous profit.

Brentfords business model leads to a more fundamental question, can data replace humans as football scouts? This is an interesting question as a lot of people still believe that for a football player, or any team-sports player for that matter, there are features or attributes that cannot be measured by statistics. There is a belief among football fans that things like leadership, ability to perform in important games and uplifting teammates are attributes that you can only see or feel, not measure. Brentford have challenged this view with their data driven approach to recruitment, but could it work for every club? Brentfords ethos is to make do with the little resources they have, they don’t have the resources to buy very expensive players and so they need to buy cheap and make them better.

My opinion is that this is a great business model and an illustration that money does not need to rule football, something all football fans are fearful of accepting. However, I find it hard to believe that for the big clubs, to win a premier league or a champions league that this business model would work. For the Real Madrid’s, the Liverpool’s, and the Manchester city’s, they need to spend a lot of money to create super teams that are capable of contending at the pinnacle of football.

References:

O’Brien, S. (2020, January 24). How brentford flipped the script to become England’s smartest club. talkSPORT. Retrieved October 2, 2022, from https://talksport.com/football/fa-cup/659667/brentford-data-revolution-england-smartest-club-championship-leicester-fa-cup/

Pisa, G. (2022, January 21). How brentford have made £151m profit from transfer sales like Watkins & Benrahma. The Sun. Retrieved October 2, 2022, from https://www.thesun.co.uk/sport/17388873/brentford-transfer-profit-watkins-benrahma/#:~:text=A%20selected%20number%20of%20player,mammoth%20%C2%A3173.7m%20altogether.&text=It%20works%20out%20at%20a,151.2m%20from%20player%20sales

Pompliano, J. (2021, June 1). The sports gambler who turned $700K into $300M. The Sports Gambler Who Turned $700k Into $300M. Retrieved October 2, 2022, from https://huddleup.substack.com/p/the-sports-gambler-who-turned-700k

Please rate this

The far-reaching implications of the Formula 1 business model

7

October

2022

No ratings yet.

The far-reaching implications of the Formula 1 business model

Formula 1 is one of the most technical and innovative industries in the world. Due to the highly competitive and rapidly changing nature of the sport, the formula 1 teams have become well equipped at quickly imagining, testing, developing, and implementing new innovations to be fitted on their cars to gain milliseconds on the racetrack. This makes the business models of formula 1 teams highly responsive and very inventive. Over the years these race cars have developed from very light, frail, powerful machines to extremely high-tech digital systems with over 300 sensors, which measure approximately 1.1 million telemetry data points per second, with a car producing over 3 terabytes of data over the course of a 1.5-hour race (Miller, 2022).

The teams obviously develop technology to improve the race cars performance, but it turns out that many of these technologies can have applications elsewhere. Most obviously, many technologies developed for F1 have ended up in road cars, things like energy recover, regenerative braking and hybrid powertrains all started life in a formula 1 car and later found useful application in road cars (Ahmad, 2022). More surprisingly, F1 derived tech is used in a variety of unrelated applications worldwide. F1 derived is also used in developing a 5G infrastructure for roads and public transport in large cities for example. The servers specifically made for F1 have also proved useful in hospitals as they have been made very durable to travel around the world every other weekend and be resistant to high volumes of carbon fiber dust (Kanal, 2019). Formula 1 tech has also proven to be lifesaving, as McLarens data collection systems are now used in UK hospitals. The first trial of this was in Birmingham Hospital in 2012, traditional medical devices included paper charts, 4 checkups an hour where vitals were checked but not continuously tracked and monitered. McLarens data services however were designed to be able to handle a constant inflow of large amounts of data coming from the formula 1 car during a race. When it came to Damian Singh, a 4 your old who had just suffered cardiac arrest, the Birmingham Children’s Hospital consulted McLaren and together designed an F1 derived data system that would consistently track all Damian’s vitals through different sensors. This allowed doctors to more accurately track Damian’s health and allow for a better recovery (Wakefield, 2012).

The responsive and inventive nature of F1 teams is best illustrated through ‘Project Pitlane’, one of the most ambitious and impressive projects Formula 1 teams have undertaken. Project pitlane was a project where different F1 teams collaborated with each other and with different health institutions. This was to aid in the creation of new breathing apparatuses and help in the scaling production of said apparatus at the beginning of the COVID-19 pandemic. The flexibility and inventiveness of F1 teams employees and facilities were used to turn a CPAP machine into something closer to the complex breathing apparatuses needed at hospital. Not only was this developed but was also brought to Technology Readiness Level 9 (fully qualified & deployed in an operational environment) within 4 weeks, something that usually takes 2 years. Many different teams also put in different efforts, such as Williams Racing reverse-engineering and 3D modelled smiths ventilators to speed up the production of these ventilators. There are many more things F1 teams did during this period that significantly aided the global fight against the pandemic (n.d. 2020).

It is incredible to see an industry that has nothing to do with health care, but the innovative nature and technical capabilities of these F1 teams to aid in such a crucial time. Proving that the unique business model of F1 teams is ready to take up almost any technological challenge, and they also have some of the most advanced technology and information systems to deliver quick results.

References:

Ahmad, K. (2022, June 23). 7 times F1 Tech ended up in your road car. MUO. Retrieved October 4, 2022, from https://www.makeuseof.com/f1-tech-in-road-car/

n.d. (2020, November 12). F1 expertise provides life-saving breathing devices in covid-19 fight as teams united for Project Pitlane. Formula 1. Retrieved October 4, 2022, from https://corp.formula1.com/f1-expertise-provides-life-saving-support-in-covid-19-fight-as-teams-united-for-project-pitlane/

Kanal, S. (2019, November 7). How F1 technology has supercharged the world: Formula 1®. Formula 1. Retrieved October 4, 2022, from https://www.formula1.com/en/latest/article.how-f1-technology-has-supercharged-the-world.6Gtk3hBxGyUGbNH0q8vDQK.html

Miller, R. (2022, March 2). How cloud data-crunching accelerates the F1 racing experience. Data Center Frontier. Retrieved October 2, 2022, from https://datacenterfrontier.com/how-cloud-data-crunching-power-accelerates-the-f1-racing-experience/

Wakefield, J. (2012, July 29). Formula 1 technology used in hospital. BBC News. Retrieved October 4, 2022, from https://www.bbc.com/news/technology-18982474

Please rate this