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AQX Sports Analytics Hackathon

devpostHosted on Devpost

Fetched about 5 hours ago

Wednesday, June 10, 2026

to Friday, June 26, 2026

•

2 weeks long

Data ScienceWeb DevelopmentOpen Source
Student only
This hackathons is only open to students. Double check the event page for more information as this may mean only those from a particular university/country are eligible.

Event Type

online

61

Participants

USD23

Prize Pool

5

Est. Projects

WELCOME TO THE AQX SPORTS ANALYTICS HACKATHON! The AQX Sports Analytics Hackathon is a 100% free, fully virtual, open-source hackathon designed for those interested in sports analytics, programming, and data science. Whether you want to predict the next NBA MVP, build an algorithm to optimize fantasy football success, or analyze MLB swing mechanics using statcast, this is the opportunity to do so. No experience is required! Ready to change the game? What are you waiting for? Let's get to it!

Judge Accessibility

Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10

Top signals

Organizer email available
Student-run event
Actively looking for judges

Organizers

Alex Johnson

alex@example.org

Jamie Rivera

jamie@example.org

Sam Chen

sam@example.org

Estimated Audience

Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech

Technical Focus

AI95%
Web80%
Mobile25%

Industries

Healthcare
Education
Climate

Technologies

Python
React
OpenAI

Why this estimate

  • • Hosted by a university
  • • Open to students
  • • MLH member event

Estimate inferred from event metadata, not actual attendee data.

Quality Score

Quality Score

72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Operations12/15

Why this score

Strong organiser track record
Returning event
Well-sponsored

Missing data

Prize details
Code of conduct