Data Science and AI

The (Winter) Olympics by numbers: for people who love data and sports (but mainly data)

Close-up of speed skaters' legs and skates mid-race on an ice rink, showing powerful strides and reflections on the ice surface.

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The 2026 Winter Olympics are officially underway! And while everyone else is debating scores and standings, actuaries are here for the real main event: the statistics. If you’ve ever wondered if you’re built for the luge or just the couch, these graphs have the answers.

In this article we answer your biggest questions. Do people even care about the Winter Olympics? Which Olympic athlete are you? Is Cool Runnings real?

Taking the temperature

Australia prides itself on being a premier sporting nation and the medal counts usually back that up. Well... the Summer Olympics medal counts, anyway.

Slope chart comparing Olympic medal rankings: Summer (1996–2020) versus Winter (1994–2022). Australia highlighted in red ranks 6th in summer (43.6 average medals) but drops to 22nd in winter (2.4). USA leads summer; Germany tops winter. Featured countries in black include China, Russia, Great Britain, Canada, and New Zealand.

While Australia’s drop from Summer #6 to Winter #22 is a tough pill to swallow, we can’t even see Austria’s full plummet from Winter #6 to Summer #51.

But, it turns out there are plenty of nations (like Norway) that have way more interest in the Winter Olympics than we’re used to here in Australia.

Line chart comparing Google search interest for "Olympics" (2007–2025) in Australia versus Norway. Australia peaks during Summer Olympics; Norway peaks during Winter Olympics. Both spike highest at Paris 2024.

Australians Google search for “Olympics” with a higher spike in Summer years (green line), while Norweigans tend to be searching for “Olympics” content more consistently (red line)

To understand the context of the winter specialists, we can look at where these countries sit on the globe. By plotting nations on a log-log scale of summer vs. winter medals, and overlay latitude using colour, the role of geography starts to emerge.

Scatter plot of Summer versus Winter Olympic medals, coloured by latitude. Higher-latitude countries (blue) win more winter medals; Australia (red) excels in summer but not winter.

Latitude here is based on the population-weighted centroid of each country (because dirt doesn’t win medals)

There is a strong bluish tilt toward the upper-left, suggesting that those countries that outperform in winter sports are more likely to be further from the equator. There is also a string of near-equatorial countries along the bottom which have struggled to break into the winter medal tallies.

However, location is far from destiny. The map has plenty of outliers that defy their coordinates. Australia and Great Britain, for instance, match each other almost exactly in medal counts despite sitting at completely different latitudes. Australia may be the most unusual country on the picture due to a high winter tally despite an equatorial tilt.

(And a quick note for the purists: We know "Total Medal Count" is a bit of an arbitrary metric - it treats gold and bronze identically and ignores population size. But we’ve been down that aggregation method rabbit-hole before and for this analysis, simple counts give us the clearest picture of national winter vs summer specialisation.)

Four charts comparing Olympic medal ranking methods. Traditional counts favour USA and China; per capita favours small nations like San Marino; a satirical formula adjusting for unrelated factors places Australia first.

How to overcomplicate medal tally comparisons, from our analysis of the Tokyo Olympic games: https://www.actuaries.asn.au/research-analysis/faster-higher-stronger-the-models-medals-and-medallists-of-the-olympics

Your winter getaway

Closing the gap between our #6 summer rank and our #22 winter rank isn't just about having everyone start training harder. For each event, Australia must send their strongest winter warriors. To be part of the solution, we need to start looking in the mirror and figuring out which winter niche matches our particular size and shapes. Not sure where to start? We’ve got you covered.

Scatter plots of average height versus weight by Olympic sport (1994–2022) for male and female athletes. Orange = summer, blue = winter. Basketball and volleyball athletes are tallest; artistic gymnastics shortest. Winter sports cluster in mid-range.

Check the graph to find the best sport for your unique physique!

Lucky for us, the Winter Olympics are at more achievable heights for the average person, whereas summer athletes are much more widely distributed, stretching up to the summer giants playing basketball. Are you a 6’5” man? You have effectively outgrown the Winter Games but if you are a short queen, lace up those figure skates!

However, while the height range is tight, the "density" is where the data gets weird. You have ski jumpers, essentially "human paper planes", who are tall enough to be average but maintain a feather-light weight to catch the wind, and bobsledders, the "gravity hogs" who break every weight rule to ensure mass equals momentum.

Was Cool Runnings right?

The outlier status of the bobsleigh raises a fascinating question. Could a summer athlete actually pivot to the ice without a genetic miracle?

Hollywood famously claimed that a group of Jamaican sprinters could transform into a world-class bobsleigh team, but does the physiology actually track?

Scatter plots comparing 100m sprinters (orange) versus bobsledders (green) by height and weight (1994–2022). Bobsledders are heavier and taller on average than sprinters, for both male and female athletes.

Comparison of 30 years of Olympic athlete data for 100m sprinters against bobsledders to see if the "Cool Runnings" holds up

As the data shows, the transition doesn't require a growth spurt. It requires a buffet. Sprinters and bobsledders share a similar range of heights at its core, but the bobsledders live in a much higher weight class. To make the jump from the orange "summer" cluster to the green "winter" peak, those sprinters didn't need to defy their DNA; they just had to gain roughly 20kg of explosive mass to push off and then let gravity do its job.

And it turns out that this transition from athletics to bobsleigh has happened before for our own Olympians! Australian athlete Jana Pittman is more famous for her performances in the 400m hurdles in the 2000 Sydney and 2004 Athens Summer Olympics, but she later changed focus to compete in the two-person bobsleigh event at the 2014 Sochi Winter Olympics.

So we know now it's possible to go from summer to winter… but what sports match up best? We crunched the numbers on 126 years of Olympic athlete data from Olympedia via Kaggle to find out.

Scatter plot showing the nine closest winter-summer sport pairs for male athletes by average height and weight. Paired sports include Rugby Sevens–Bobsleigh, Canoe Sprint–Skeleton, Cycling BMX–Luge, and Surfing–Snowboarding, among others.

To get the most possible sport pairings to look at, we expanded the range to every Olympics… including the 1904/1932 demonstrations of American Football.

And as it turns out, the bobsleigh is primed for all of our Aussie rugby players to join! And BMX cyclists, you can now reach higher speeds in the skeleton! Table tennis rockstars, trade in those paddles for ski poles, cross country is waiting for you. The least surprising result of this analysis is that surfers are particularly suited to snowboard (see fresh powder waves above).

Scatter plot showing the nine closest winter-summer sport pairs for female athletes by average height and weight. Paired sports include water polo–bobsleigh, softball–luge, karate–figure skating, and trampolining–ski jumping, among others.

... what I do have are a very particular set of skills…” - Some speed skating archer, probably

Ladies, we’ve got you covered as well. We know you also love putting some spin on the table tennis ball, how about spinning yourself through the air with freestyle skiing? If you spend your weekends high kicking in karate, put those high kicks to use on the figure skating rink!

Of course, smaller sample sizes in some sports mean these matches are suggestive rather than definitive - but they're a fascinating starting point for understanding physiological transferability.

Every four years, we get a fresh chance to see the human story rewritten on snow

Whether it's an underdog story or a record-breaking run, the next few weeks are about more than just points on a graph; they're a testament to the fact that we are all capable of being part of something extraordinary (but we will still enjoy the points on the graphs).

So, as you watch the 2026 Olympics, enjoy the spectacle for what it is - a beautiful, chaotic and occasionally freezing display of what happens when the right person puts in the time to achieve something incredible. And if you find yourself looking at the screen and thinking, "I wonder what their centre of gravity is," don't worry… you're exactly where you need to be.

Enjoy the Games!

Love the intersection of data and sport?

Dive into our Olympic analytics series:

About the authors
Ean Chan headshot
Ean Chan
Ean is a Senior Manager within EY's Actuarial Services team, with experience in Life Insurance, Data Analytics and AI, primarily concentrating on Health and Human Services clients. As chair of the Institute's Young Data Analytics Working Group and member of the Data Science and AI Practice Committee, Ean is dedicated to driving progress in the actuarial field by augmenting our expertise with the latest data science, AI and machine learning methodologies.
Justin McGee Odger
Justin is a seasoned leader specialising in data, AI, and alternative investments. He has been recognised with top accolades from The Big Issue, Deloitte, LinkedIn, CSIRO, and Google for his international contributions to innovation. His expertise lies in bridging the gap between traditional actuarial methods and cutting-edge, data-driven solutions, with a passion for communicating these concepts simply in order to drive economic value.
Andrew Zheng
Andrew is an actuary working in General Insurance at Insurance Australia Group (IAG), with experience in reserving and data analytics. He has a strong interest in applying data science techniques to solve real-world actuarial problems and enjoys exploring how emerging technologies are reshaping the profession.

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Two people climbing a snowy mountain