Sport Analytics Deep Dive Project Presentation Template

Sport Entity Overview

  • Chosen entity:
  • League / organization:
  • Why this entity is relevant for sport analytics

Analytics Technologies & Data Collection

  • Tracking systems used
  • Hardware (cameras, sensors, wearables, etc.)
  • Types of data collected

On-Field / Competitive Decision Making

  • How analytics informs performance decisions
  • Example(s) from the entity

Off-Field & Business Applications

  • Fan engagement
  • Marketing / revenue / operations
  • Example(s) of business impact

Biases & Ethical Concerns

  • Potential sources of bias
  • Privacy and data ownership issues
  • On-field vs off-field implications

Careers & Skills in Sport Analytics

  • Career path of interest
  • Skills required
  • Tools and technologies used

Future of Analytics in This Entity

  • Emerging technologies or methods
  • Why this trend matters

Key Takeaways

  • What did your group learn?
  • Why sport analytics matters in this entity

Q & A

  • It is your responsibility to deliver an engaged and interesting presentation to encourage audience questions and interactions. A portion of your grade will be evaluated based on Q&A.