Turn statistics into something people can do.
What makes someone want to click, play, guess, build, predict or compare rather than simply scroll past another table of numbers?
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🎓 Challenge étudiant (copy) (copy)
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The challenge · SIC Data-hack 2026
Turn hockey data into an experience people want to explore.
Design a simple, interactive and genuinely fun web experience that helps hockey experts and complete newcomers understand what is really happening on the ice through its data.
Real data Insight Fan experience
1.3M+Unique visits to the Spengler Cup website during the five-day event.
Real match dataPlayer-level statistics, full-detail events and match footage.
One goalGive people a reason to stay, learn, play and explore.
The problem
Great performances deserve more than a number.
Ice hockey is one of the fastest team sports on the planet, but its statistics do not always tell a story on their own. For newcomers, casual fans and even experienced supporters, performance data can feel technical and disconnected from what is actually happening on the ice.
As a result, many decisive individual performances go unnoticed and unappreciated. The Spengler Cup's results and statistics pages already attract strong interest, but visitors often check the score and leave. The opportunity is to turn that brief visit into active discovery.
How can we turn real ice hockey performance data into an experience people actually want to explore?
Create an interactive web experience that works equally well for someone who has watched a thousand hockey games and someone watching their first. It should make the data enjoyable to use while revealing why a player's performance mattered - not only what the number says.
Make people participate.
Help them understand.
Turn performance data into a story people remember.
How will your experience help users understand why a player's contribution mattered and connect the metrics to what happened on the ice?
Expected output
Show how your idea works in the real world.
Your submission should demonstrate both the user experience and how the concept could fit naturally into the Spengler Cup's digital ecosystem.
A working prototype or clickable demo
Show your interactive, gamified way of explaining, learning about and engaging with hockey performance data.
A lightweight activation concept
Explain how the experience could live across the Spengler Cup website, communications, social media and/or streaming environment.
A successful solution could help
Build a stronger connection between data and fans.
The strongest ideas will balance accessibility, learning value, entertainment and a realistic place within the Spengler Cup's digital experience.
Make ice hockey more accessible to new audiences.
Help fans learn and remember what performance numbers mean.
Increase engagement and time-on-site during an iconic event.
Strengthen the value of digital and streaming products.
Five sparks to get your team moving.
These are starting points, not requirements. You are encouraged to explore a different direction if it creates a clearer, more playful or more memorable experience.
What just happened?
A quiz about zone entries, hardest hits, key moments or the game's hardest-working player.
What happens next?
Invite users to predict the next outcome and then compare their answer with the real statistics.
Create your dream line.
Build a penalty-killing or powerplay unit using real performance metrics and tactical trade-offs.
Reconstruct a decisive moment through data.
Turn a goal or key play into a visual replay told entirely through the performance and event data behind it.
Make two players' statistics tell a story.
Create a head-to-head experience that reveals playing styles, strengths and impact rather than displaying another spreadsheet.
Start exploring real Wisehockey match data.
The sample pack is based on the HC Davos vs. U.S. Collegiate Selects match played on 31 December 2025. It includes player-level aggregated statistics, detailed event data and supporting documentation.
Confidential data
Challenge use onlyPlease treat the supplied match data as confidential. Do not redistribute, publish or share the files outside your registered challenge team.
A first look at the data structure
Explore real player-level match statistics and event data from an actual Spengler Cup match so your team can become familiar with the files before building.
The complete data and video package
Teams receive the complete match for aggregated statistics across all periods and approximately 97 metrics, the complete game event export with all 114 columns, and high-resolution match video.
Game footage · Data referenceHC Davos vs. U.S. Collegiate Selects · 31 December 2025