Sports fans love to show off their fandom with data and personalised stats which summarise their commitment, knowledge and enjoyment of sport!
They want to brag about their dedication to their team, that awesome goal they saw, and when they watched their team win the league on penalties!
InCrowd Sports are holding a competition to find the most innovative and engaging ways in which students could turn fan viewing/attendance data into creative, exciting, visual, brag-worthy personalised stats and infographics for fans of any sport.
By combining personalised viewing and attendance data for app users (such as when, where and how they were watching) with official match statistics (such as goals scored, who was playing, etc), we can derive and visualise interesting insights and statistics, personalised for each user based on their viewing/attendance habits and the great moments they’ve seen!
We want to see engaging new ways to display and aggregate data from these sources to produce a personal sports profile which fans will love to show off.
We are looking for submissions which use and combine the data in unique ways to produce a new, appealing set of infographic statistics for fans, which offers insight into the users fandom beyond the face-value of the constituent statistics.
There are two prizes on offer:
The best design and visual presentation of personalised stats
The best and most innovative aggregation of the available data
Prize winners will each receive a £50 Amazon gift voucher
The focus of all submissions should be around deriving new, insightful stats from the list of existing data sets, and/or visualise these stats in a way which is exciting to users.
Our competition is open to any University of Sussex student, sports fan or not.
You must be a student at the University of Sussex to qualify for a prize.
Any good submissions may be used as part of an exciting new app for sports fans!
Please note that all intellectual property that results from this competition including but not limited to designs or data insights is the solely owned by InCrowd Sports Ltd.
TO GET STARTED…
Assume you know which matches any given fan has watched or attended.
Each match was a wealth of statistics from every moment in play. Below are some high-level examples of these moments.
Each match event breaks down into the granular components too. Take a tackle for example. This event consists of: time of event, location of event relative to pitch, players involved, whether possession was retained etc.
A more detailed list of stats available can be found here.
Data sets to use include:
Fan viewing/attending data:
The match they were watching
Time, location that they were watching
Who they were watching with (friends, other app users)
How user was watching/attending (TV, Pub, Online, Stadium)
User favourite team, player(s)
Whether they agree or disagree with moments in the match
Sports Statistics (from Opta):
Match attendance, location, time/date,
Match events (goals, passes, tackles, corners, kicks, free-kicks, interceptions… everything)
…and essentially any other match data you can think of!
…also includes stats specific to other sports
You may also include other relevant data sets as you see fit.
Some examples of derived stats:
Take the user’s attendance check-in history and combine it with the statistics for each match they have attended. Outcome: Number of goals the user has ever seen when in attendance at a stadium
Using the user’s attendance… Outcome: Checklist for every football stadium in the country. Each check-in to a unique stadium checks-off a stadium in the list. Fans can also see how many times they’ve visited each stadium.
Take the user’s attendance check-in history and combine it with the injury, foul, yellow/red card, statistics for each match they have attended. Outcome: A graph which plots injuries, bookings, fouls, goals etc against the user’s attendance so that they know how “lucky” they are for their team when they attend a match. They can also see their win-rate when attending. Further, they can see how unfortunate their team is (with respect to injuries, bookings, successful interceptions etc) compared to their attendance.
Guidance and considerations:
As a sports fan, what personal viewing/attendance based stats would YOU want to see?
What stats would spark great conversations in the pub or on match day?
How can these complicated stats be visualised with engaging design and get users interested?
How can you build up a personal infographic for each user based on the matches they’ve seen and the events within those matches?