A clearer app
Keep refining navigation, readability, and visual stats so the information is easier to find and understand.
OUR COMMITMENT TO THE GAME
BUILT BY ATHLETES.
ALWAYS IMPROVING.
We are athletes building for people who care about sports. We bring that perspective to Viqtory: study the details, listen to feedback, and keep working to get better.
ATHLETE-LEDRespect for the game and its details
PLAYER-TESTEDTesting by NBA and NCAA alumni
CONTINUOUS WORKImproving the app and model methods
OPEN TO FEEDBACKLearning from the people using Viqtory
THE STANDARD WE HOLD OURSELVES TO
THE WORK DOESN’T
STOP AT LAUNCH.
A better sports app comes from attention to the details: how clearly a chart reads, how easily you find a game, and how carefully a model is evaluated. We are committed to improving each of those experiences.
Better data quality
Investigate missing stats, incorrect mappings, and delayed updates. Treat a reported issue as something to understand and address.
Thoughtful model development
Review inputs, assumptions, and historical results. Evaluate changes instead of assuming a more complicated model is a better one.
Feedback that matters
Listen to athletes and everyday users. Their questions and experiences help identify what deserves attention next.
SPORTS EXPERIENCE. DATA DISCIPLINE.
KNOW THE NUMBERS.
RESPECT THE GAME.
A box score captures a result. Watching the game reveals the possessions, decisions, and situations behind it. Our athlete perspective keeps that connection at the center of Viqtory.
Player experience helps us ask better questions about the product. Statistical evaluation answers a different question: how a model performs. Both deserve care.
WHAT WE KEEP ASKING
- Is the information clear?
- Does the matchup context help?
- Are the data and timeframe explained?
- What do the results actually support?
- What can we make better next?
OUR COMMITMENT TO MODEL IMPROVEMENT
TEST THE IDEAS.
LEARN FROM THE RESULTS.
Our development work includes historical audits and walk-forward evaluation tools. We are committed to reviewing performance by league, checking data quality, and being clear about what the evidence supports.
No model gets every game right. Changes should be judged with suitable samples and pregame information, not selected wins or hindsight. Athlete testing and model validation serve different purposes.
HELP US KEEP GETTING BETTER
YOUR EXPERIENCE
MATTERS.
Tell us what works, what is confusing, or what needs attention. Use Ask Viq in the app or contact our support team.
SHARE YOUR FEEDBACK