How Big Data Analytics is Changing Sports

tomrobertson
Analytics Vidhya
Published in
4 min readJan 31, 2022

Analytics and big data have enormous promise in many industries, but they are about to score significant points in sports. Sports analytics can help coaches and players, as well as front offices and corporations, score touchdowns, sign contracts, prevent injuries, and improve fan and sponsorship involvement.

The professional sports sector is worth more than $90 billion globally, providing a significant opportunity for big data. Data from sports analytics may be shared and used at the most granular level, improving the experience of professional sports for all parties involved. Instead of relying on intuition, experience, and stories, sports participants and fans may review data that reveals the true storey to assist with every element of the game — from player development to audience engagement.

Wearables

Wearables can assist in the monitoring of players on the field and are growing more advanced as time passes, with some even being integrated into players’ jerseys. Coaches may currently monitor the tiredness and hydration levels of their athletes. Player safety and performance will be recorded, analysed, and enhanced as these gadgets grow smarter.

Electronic Performance and Tracking System (EPTS) devices with GPS, magnetometers, gyroscopes, and accelerometers are now worn by players at all levels. Some systems may collect 1,000+ data points per second, tracking speed, power, body temperature, heart rate, distance travelled, and other important performance metrics.

Assume you’re a point guard who has just stepped off the court. Your team has been defeated. You may dismiss it as a failure and go on, or you could see it as a chance to grow. How? Sensors embedded in your jersey have monitored your every move, and the data contained within them will assist you in making the next game distinct.

Wearable technology allows you to assess and monitor every granular development on the field, as well as analyse data in real-time to optimise training regimens, attract new players, prevent injuries, and even improve the spectator experience. Many semi-pro and amateur teams will be hot on their tails.

Fan Engagement

Analytics in sports, notably fan engagement analytics, have the potential to improve the live game experience while still maintaining fan and sponsor participation.

As teams and ticket providers compete with the at-home experience, they can improve the sports fan experience — the better they know their followers, the better they can cater to them. Today’s sports fans enter stadiums with smartphones, which alters the in-person experience. Fans anticipate that technology will improve game days. In response, big athletic event organisers and venue owners are turning to new cloud, mobile, and analytics technology to provide a better spectator experience.

Fan data will continue to affect marketing efforts and athletic event decisions, such as when to schedule games and how to appeal to fan preferences.

On Field Performance

Athletes at the ultra-competitive Olympics, where training is a full-time job, seek any advantage they can acquire along the road. Coaches are starting to collect training data on young athletes in the hopes of gaining some insight into what makes elite athletes thrive in the Olympics and which elements are most important. This information is also assisting Olympic athletes in learning more about the obstacles they confront while training, such as the conflict between strength and endurance training for rowers.

Data may assist coaches and players in making better educated decisions that can affect the outcome of a game. Coaches can choose the greatest players, field the most effective teams, and make better judgments on the field or court, giving the team the competitive edge that we all seek in this day and age.

Summary

Data is currently being gathered in sports all around the world to help teams win. Whether you’re a basketball enthusiast in the United States, a football lover in Europe, or a rugby fan in Australia, big data will continue to have an impact on this vast sector.

For the time being, we’ve barely scratched the surface with sports analytics applications, and that’s the most exciting part about the future. With many apps still in their early phases, every bit of data collected today might be useful in the future. The athletic world might be reinforced further with the correct data analytics tools and experts, yielding superior outcomes in every area.

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Thank You 🙏

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tomrobertson
Analytics Vidhya

Interested in finance, data and business. Writing a mix of research and opinion!