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How data analytics is making vital steps in game of sports


The 10,000m men’s final at the Sydney 2000 Olympic Games was and still is one of the most memorable races in athletics history; Paul Tergat lost to his fiercest rival Haile Gebrselassie by the smallest of margins in long-distance running – 0.09 second or 90 milliseconds.

Every sports person always looks for the smallest of margins that will make them better than their opponent, and on that 2000 summer night in Sydney, Haile dug deep into his reserves to find that extra margin and deny Tergat the only Olympic gold medal he never won in his illustrious career. Gaining that extra advantage has become a fully-fledged sub-industry known as sports data analytics.

Sports has taken data analytics to another level altogether; in athletics, there are shoes that improve running outcomes by at least 4%.In other sports such as cycling, the British Team Sky adopted analytics in 2010 to aggregate any marginal gains made by their cyclists, and in 2012 it yielded fruit when Sir Bradley Wiggins became the first Briton to win the Tour de France. Using the same data analytics technique in 2013, his teammate Chris Froome – the Kenyan born British rider- triumphed in the same race.

The value of sports data analytics was not always appreciated. It was not until 2002 when Oakland Athletics baseball team using statistical data analytics aced through the season to lift the Major League Baseball trophy with a 20-match unbeaten winning streak. The Oakland A’s were neither wealthy nor highly ranked and they stood no chance of topping the league. But through systematic sports data analytics, they not only reduced the amount of money spent per win but also made efficient playing rosters. From this experience, baseball became an example of how unscientific cultures can respond to scientific methods.

Almost 20 years later, while other countries are moving their sports ahead via data analytics, Kenya still lags in this area. It is common at a Kenyan Premier League match in any sport to see so-called team statisticians taking down the stats manually on a piece of paper. No forward-thinking can come from such data. Better quality data needs to be collected since it is next to impossible to thrive on the international sports stage without a data analyst to crunch match data and give better inferences to the coach.

The desire for individual improvement among those participating in recreational sports has also fueled mass adoption of analytics. Because of this, many mobile applications, wearable devices, sensors and other electronic chips have been developed to collect and transmit personal and competition-specific data.

These devices not only detect the athletes’ speed based on the distance covered; but also display their personal details such as heart rates, fatigue levels, hydration, gait, posture and injury risk.

Collection of such intimate data has not gone undetected by both sports regulators and consumer protection agencies. Sports data – especially the one that is medical in nature – now enjoys the highest security from data protection laws across the globe. So, what are the rights of an athlete when it comes to their personal and intimate data? Sports exercise data is not only the new battleground of sports teams but also of wearable technology manufacturers.

So next time as you install a new sports exercise app, spare a thought to read the fine print of the GDPR  agreement presented to you before you click “I accept”, lest you sign away your private data to be used for things you know little about. Arguably, Kenya’s Data Protection Act (2019) will have far-reaching implications in the sports industry which is exceedingly dependent on the sound health of individuals to perform optimally.

This reality, when pitted against sport analytics, underscores the importance of the collection of the health and fitness data of sportspersons – a compelling reason to import the implementation of the Data Protection Act (2019) into the sports world.

Data on health and fitness is categorised as sensitive information and is subject to strict rules on processing and retention such that pre-informed consents are needed and setting up of measures to duly secure this information. As such we would most likely see a spike in the introduction of contractual clauses on how sports enterprises would wish to continually collect and process sensitive personal data in this new era of data protection.

Finally, we all love listening to a TV or radio sports commentator who from time to time throws in some match statistics and analysis. As we are wowed and mesmerised by the players’ statistics and the little marvels they perform on the playing fields let’s not forget they are humans with rights to privacy and not entertainment robots, this consideration should make us think more about protecting their data.

This article was written by Paul Ochieng and Gerald Lwande.

This article was first published in The Standard

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