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How Data Is Changing the 2026 Winter Olympics — Level B2 — An olympus camera is featured up close.

How Data Is Changing the 2026 Winter OlympicsCEFR B2

16 Feb 2026

Adapted from Daryl Lovell-Syracuse, Futurity CC BY 4.0

Photo by Thiago Zanutigh, Unsplash

Level B2 – Upper-intermediate
4 min
208 words

The 2026 Winter Olympics are arriving with a wider range of data and technology than in past Games. Teams, researchers and broadcasters increasingly use data science, computer vision and wearable tech to study movement, measure performance and present results. These tools identify fine-grained patterns in motion and help coaches use information from many events to design training and race strategies.

Analytics now perform a dual role: they support preparation and performance improvements, and they shape how the competition is told and shown. Clear visuals and data-driven commentary make it easier for viewers to understand the differences between athletes. Commentators and media outlets are relying more on analytic insights to explain results and records.

Hassan Rafique, an assistant professor of sport analytics at the David B. Falk College of Sport at Syracuse University, studies how these changes affect athletes and audiences. The same technologies that push athletes toward higher achievements—sometimes described as turning super athletes into record-breakers—also raise questions about fairness, access and the rules that should govern their use. It remains unclear how quickly every team or broadcaster will adopt every tool, and observers expect further change as experts, teams and media decide which data and methods will matter most at future Games.

Difficult words

  • data scienceStudy of methods to analyze large amounts of information
  • computer visionComputers' methods to interpret visual images
  • wearable techElectronic devices worn on the body
  • analyticsAnalysis of information to find useful patterns
  • fine-grainedShowing very small or detailed differences
  • commentarySpoken or written explanation of events
    data-driven commentary

Tip: hover, focus or tap highlighted words in the article to see quick definitions while you read or listen.

Discussion questions

  • Should all teams and broadcasters have the same access to these technologies? Why or why not?
  • How might data-driven commentary change how viewers understand sports events?
  • Which data or methods do you think should be limited by rules, and what reasons support those limits?

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