It involves a Week 1 of 4 weeks lecture series by Vinay to cover the basics of application of Analytics in Sports.

1. INTRODUCTION:
SPORTS
ANALYTICS
WEEK 1
This Photo by Unknown Author is licensed under CC BY-SA
VINAY SINGH: Sports Enthusiast
https://www.simscale.com/blog/2017/07/cycling-aerodynamics/
https://www.youtube.com/watch?v=3Iz7ZMALaCY

2. Current
Landscape:
Major Sports
https://sportsshow.net/top-10-most-popular-sports-in-the-world/

3. Major Sports
in America
https://sportsshow.net/most-popular-sports-in-america/

4. Professional
League by
Revenue
https://howmuch.net/articles/sports-leagues-by-revenue

5. Professional Teams by Revenue
https://www.forbes.com/sites/kurtbadenhausen/2019/07/22/the-worlds-50-most-valuable-sports-teams-2019/#8603fb4283da

6. What is Sports Analytics?
Data Mangement, Analytical
Model and Information
System for Decision maker is
Sports Analytics

7. Dimensions of
Sports Analytics
Fan Engagement, Player Performance, Ticket
Sales, Sports Niche( Baseball Analytics, Cricket
Analytics)
This Photo by Unknown Author is licensed under CC BY-SA

8. On Field Analytics
• Scouting and Team Selection
• Predictive Models
• Player Performance
Metrics
• Player Training
• Data Insights about
improving performance
• Game Strategy
• Automated Video
Analysis
• 3D Depth Camera
• Wearable Technology

9. Fan Engagement
• Analysis of Digital Engagement
• Sentiment in Social Media
• Analysis of Fan Behavior in Stadium
• Wireless Internet and Phone Apps
• Apps Supply Game Analytics, Parking
Information, Promotions, and Traffic
Information to the Fans (NFL)
https://www.forbes.com/sites/forbestechcouncil/2019/01/31/how-data-analysis-in-sports-is-changing-the-game/#338c456d3f7b

10. Sports Betting
• Improvement of Gambling Products
• Data Aggregation and Visualization for
Bettors
• Develop Daily Fantasy Sports
• Worth Over $5B According to Nevada
Gaming Control Board (NGCB)

11. Revenue Generation
• Ticket Sales Analytics
• Marketing and
Promotions
• Team Promotions
• Selling Merchandize for
Team
• Sponsorships
• Sports Channel
Analytics

12. Conferences
• MIT Sloan Sports Analytics Conference
• Carnegie Mellon Sports Analytics Conference in
Pittsburgh, PA
• Ottawa Hockey Analytics at Carleton in Ottawa
• Midwest Sports Analytics Meeting in Pelle, IA
• United Kingdom Sports Analytics Conference in
London
• Texas Sports Analytics Conference in Dallas
• Uconn Sports Analytics Conference in Storrs, CT
• Japan Sports Analytics Conference in Tokyo
https://vimeo.com/286826883

13. University Courses
• Masters Associated with Sports Analytics
• Adelphi University (Online)
• American University (Online)
• California University of Pennsylvania (Online)
• Indiana University Purdue University
Indianapolis
• Marquette University (Hybrid)
• Northwestern University
• University of North Texas
• Certificates for Sports Analytics
• Columbia University
• Northwestern University
• Wilmington University
https://sps.columbia.edu/academics/masters/sports-management/full-time-master-science/courses

14. Blogs and Websites
• Action Network
• Agile Sports Analytics
• Harvard College Sports Analysis
• iSports Analysis
• Team Sports Analysis
• Stat Sheet Stuffer
• Analysis Pro
• MIT Sloan Experts
• Five Thirty Eight
• Spiideo
https://youtu.be/0WUrYlndbaA

15. Majors Startups
• STATS
• World Leader Sports Data and
Technology
• Covers 80k+ Events Annually
• Opta
• Based on London, UK (1996)
• Covers 30 sports in 70 countries
• Prozone
• Domain expert in Sports Performance
Analysis(1995)
• Acquired by STATS

16. Journals to explore
• Journal of Quantitative Analysis in Sports (JQAS)
• Journal of Sports Analytics
• Statistical Analysis and Data Mining: The ASA Data
Science Journal –Volume 9, Issue 5, 2016
• Data Mining and Knowledge Discovery–Volume 31,
Issue 6, 2017
• Electronic Journal of Applied Statistical Analysis –
Volume 10, Issue 3, 2017
• Machine Learning–2018
• International Journal of Forecasting -2018

17. Job Roles and
Expectation
• Data Scientist/Analyst
• Data Engineer
• Sports Analytics Consultant
• Business Intelligence
Sports Team
Average Pay : ~ 60k -70k per year

18. Project
Expectations
from the class
Prepare case Studies for Real
Life Application of Analytics in
Sports(3-5 Slider Presentation)
Working prototype of the
Application is not necessary but
appreciated

19. Feedback and
Questions