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  • Sports Hackdays Lucerne, 27 - 28 November 2021
    • Challenge 1 - Datasport
    • Challenge 2 - Shorttrack Dartfish
    • Challenge 3 - Force8/Swissski
    • Challenge 4 -Swissski
    • Challenge 6 - Vorn Biathlon
    • Challenge 7 - Vorn Battery
    • Challenge 8 - Datahouse/Watson
    • Challenge 9 - Willis Sports Organization
    • Challenge 10 - Swissolympic
    • Challenge 11 - FC Servette
  • Sport Hackdays, Lucerne 26 & 27 Nov 2022
Hackdays Moodboard 1306x420px

Check out the results

Hackdays 27. & 28. November 2021

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  1. Lucerne School of Business Lucerne School of Business
  2. Degree Programmes Degree Programmes
  3. Master's Master's
  4. Applied Information and Data Science Applied Information and Data Science
  5. Sport Hackdays Sport Hackdays
  6. Sports Hackdays Lucerne, 27 - 28 November 2021 Sports Hackdays Lucerne, 27 - 28 November 2021

Sports Hackdays 2021 Challenges & Results

Applied Data Science - on November 27 & 28 2021, our students tackled exciting challenges with challenge owners, data community members, data scientists and ideators.

Below you will find a list of the challenges of the Sports Hackdays.

Check out the results

Hackdays 27. & 28. November 2021

Hackdays Banner Challenges Partners Data Sport_neuneu

Challenge 1: RUN AGAINST YOUR PREDICTED TIME

DATASPORT // Create a betting system for long-distance runners to compete against the clock. To estimate the times to beat, an algorithm for predicting the finish times of the races must be developed based on models from previous races. 

Hackdays Banner Challenges Partners Dartfish_neu

Challenge 2: IN RACE BETTING FOR SHORTTRACK

SHORTTRACK FÖRDERVEREIN / DARTFISH // Calculate the odds of winning for a betting service based on the skaters’ current position and speed.

Hackdays Banner Challenges Partners Swissski_neuneu2

Challenge 3: LOAD AND REGENERATION

FORCE8 & SWISSSKI // Predict performance based on a subjective assessment of strain and regeneration data from swissski athletes.

Hackdays Banner Challenges Partners Swissski_neu

Challenge 4: ALGORITHMIC COURSE SETTING IN ALPINE SKI

SWISSSKI // Understand the critical aspects of downhill skiing and apply them to optimal course setting. 

Hackdays Banner Challenges Partners VORN_neu2

Challenge 6: INSIDE A BIATHLETE

VORN // Understand competitors’ breathing pattern during a biathlon and discover ways to visualize them for spectators. 

Hackdays Banner Challenges Partners VORN_neu

Challenge 7: XC BATTERY MODEL

VORN // Create options for visualizing athletes’ exertion dynamically by using a battery icon.

Hackdays Banner Challenges Partners Watson_Datahouse_neu

Challenge 8: MONEYBALL GOES FOOTBALL

DATA HOUSE & WATSON // Build an interactive analysis tool for publicly available data on football.   

Hackdays Banner Challenges Partners WSO_neu_12

Challenge 9: WSO PROFILE HUNTER RECRUITING TOOL

WSO WILLIS SPORTS ORGANIZATION // Build a dashboard for identifying athletes with similar profiles by considering the features of their profile, such as combination data and physical characteristics such as height, weight, etc.

Hackdays Banner Challenges Partners swiss olympic_neuneu

Challenge 10: WOMEN IN HIGH PERFORMANCE SPORT

WOMEN IN HIGH PERFORMANCE SPORT // Raise awareness for the challenges that women face in elite sports by means of storytelling infographics and interactive data visualizations geared for a general audience.

Hackdays Banner Challenges Partners Servette_neu

Challenge 11: FOOTBALL PROFILING FOR PLAYER PERFORMANCE ANALYSIS

FC SERVETTE //Use the data on players’ physical and tactical performance and develop comprehensive profiles for decision makers.  

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