Overview
Goal
Offer detailed statistics and historical data to help users in their research prior to placing a bet.
Process
Gather data & research competitors
Decide what data is best to show, research how competitors display to see how users are used to viewing sports stats
Group & sort
Group and sort data to match user expectation
Wireframes
Draw simple wireframes to understand layout and hierarchy
Basic lo-fi designs
Hand draw each screen to get a sense of what kind of visuals we can use to portray different information
Feedback
Get feedback from multiple internal stakeholders and some external users
Iterate on lo-fi designs
Hi-fi designs
Finalize UI elements and get screens ready for development
Design Challenges
1 - Balancing data density and clarity. Sports stats contain large amounts of complex data which can overwhelm users if not presented clearly.
Solutions:
- Progressive disclosures
- Organize, chunk, and separate data into different tabs/pages
2 - Visualizing complex data.
Solutions:
- Charts and graphs to make things more digestible
- Visual cues (colors, highlights)
3 - Avoid information overload.
Solutions:
- Use whitespace and clear categorization
- Limit stats shown to most important ones
- Highlight relevant data
Background
What is Rithmm?
Rithmm is a mobile app giving its users the ability to personalize sports betting models.
A sports betting model utilizes predictive analytics and historical data to predict the outcome of upcoming games. You input what you think is important to the outcome of a game and from there, Rithmm's algorithm builds a unique model. This model is then able to tell you what bet to take based on win probability and risk to reward ratio. All of this makes for a smarter, better bettor.
Grouping and Categorization
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Sketches
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Final Design
Roster
The Roster page shows the players on the team, their position, along with the player's stats.
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Standings
The Standings page shows how this team stacks up against others in the league or conferences. User can select different seasons and sort by different stats like win/loss, against the spread, last 10 games, and more.
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Completed Game / Boxscore
A screen dedicated to a past, completed game.
Accessed from the 'Schedule' page on the Research tab.
This page shows users the final score, a comparison between the 2 teams that played, and the box score (stats from the game per player).
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