Robyn Ritchie is a PhD candidate at Simon Fraser University outside of Vancouver, Canada. Her current research focuses on advancing curling analytics with statistical learning to inform decision making in the game. She completed her Masters in statistics at the University of Manitoba where she looked to estimate the scoring rates of various teams in the English Premier League, as well as comparing home and away performances and scoring patterns throughout additional time. In the past year, Robyn and her team won the NFL’s Big Data Bowl competition with their project which looked to determine the optimal path to get the punt returner to the end zone. Her team was the first college entry to win the competition and she was the first ever female grand champion. After this, Robyn put together another team to enter and win the Big Data Cup. Her team used women’s ice hockey power play data from the 2022 Olympics to gain insight into passing.
About The Conference
Now in its sixth year, the Carnegie Mellon Sports Analytics Conference is dedicated to highlighting the latest sports research from the statistics and data science community.
Interested in presenting your research at CMSAC? Then submit an abstract to present a poster at the conference using the form below!
You can register to attend #CMSAC22 in-person or virtual. Virtual attendees will be able to attend the workshop and speaker events (excluding the mock interview) via a zoom webinar. While virtual attendees will able to ask questions, priority will be given to in-person attendees. Additionally, in-person attendees will have access to the poster session and networking opportunities throughout the conference. Click the button above to register and see below for pricing.
Virtual Attendance Registration (limited access to networking opportunities)
- High School / Undergrad / Grad student Conference + Workshop: FREE (with school ID)
- Non-student conference: $25
- Non-student workshop: $10
- Non-students Conference + Workshop: $30
In-Person Early Bird Registration (until Oct 14th)
- High School / Undergrad / Grad students Conference: $15 (with school ID)
- High School / Undergrad / Grad students Workshop: $10 (with school ID)
- High School / Undergrad/ Grad students Conference + Workshop: $20 (with school ID)
- Non-students Conference: $50
- Non-students Workshop: $20
- Non-students Conference + Workshop: $60
In-Person Regular Registration (Oct 15th - Oct 29th)
- High School / Undergrad / Grad students Conference: $25 (with school ID)
- High School / Undergrad / Grad students Workshop: $10 (with school ID)
- High School / Undergrad/ Grad students Conference + Workshop: $30 (with school ID)
- Non-students Conference: $75
- Non-students Workshop: $20
- Non-students Conference + Workshop: $90
Registering indicates agreement to abide by the Code of Conduct .
Hotel informationWe have a room block with Hilton Garden Inn (reserve now with this link).
Carnegie Mellon University
Giant Eagle Auditorium
4909 Frew St, Pittsburgh, PA 15213
From PIT Airport
1. Head northeast on Airport Blvd
2. Keep left to stay on Airport Blvd - 0.6 mi
3. Keep left to stay on Airport Blvd - 0.7 mi
4. Continue straight to stay on Airport Blvd - 0.2 mi
5. Keep left at the fork, follow signs for
I-376 E/I-79 E/Pittsburgh/Pennsylvania Turnpike E and
merge onto I-376 E - 0.6 mi
6. Merge onto I-376 E - 16.4 mi
7. Keep right to stay on I-376 E - 2.1 mi
8. Take exit 72A to merge onto Forbes Ave toward Oakland - 0.3 mi
9. Merge onto Forbes Ave - 1.0 mi
10. Turn right onto Schenley Drive Extension - 449 ft
11. Turn left onto Schenley Drive - 0.2 mi
12. Turn left onto Frew St 0.2 mi
13. Destination will be on the left
Big Data Bowl Workshop in Giant Eagle Auditorium, led by Ron Yurko
Getting started with player-tracking data
Deep dive into methods
Break for food (pizza to be provided)
7 to 7:30 PM
Q&A with Big Data Bowl Winners
Conference sessions in Giant Eagle Auditorium
Welcome and Opening RemarksCMU Statistics & Data Science>
Keynote Address: Doug FearingZelus Analytics>
Women’s Olympic Hockey - Developing a better Power PlayRobyn Ritchie>
Mock Interview SessionSam Ventura>
SCORE SpotlightRebecca Nugent>
Poster PreviewsPoster Presenters>
Lunch and Poster Session
CMSACamp student speakersTBA>
Reproducible Research Competition Presenters and Awards
Closing RemarksRebecca Nugent>
5:30 to 6:30 PM
Conference Keynote Speaker
Doug Fearing is the Co-Founder & CEO of Zelus Analytics. Over the past three years, Zelus has built one of the largest analytics teams in sports, serving pro teams in the MLB, NBA, NFL, NHL, IPL, and European soccer. Prior to Zelus, Doug founded the LA Dodgers Baseball R&D department and served as its Director for four seasons. Through his role, he helped integrate data science, performance technologies, and software engineering into all functions of Baseball Operations. His Dodgers experience culminated with World Series appearances in 2017 and 2018. Doug received his B.S. in Computer Science from CMU and his Ph.D. in Operations Research from MIT. After MIT, he spent five years in academia, teaching at Harvard Business School and the UT Austin McCombs School of Business. During that time, he consulted for the Tampa Bay Rays as a Senior Advisor to the Baseball R&D department.
Women’s Olympic Hockey - Developing a better Power Play
Historically, tracking data in hockey is not publicly available. Even less available is data on women’s professional sports. This year’s Big Data Cup allowed researchers to dive into unknown territory and advance both the game of hockey and the women’s competition. Using event and tracking data from the elimination round games during the 2022 Winter Olympics, we evaluated passes in order to assess players’ risk-reward behaviors in these high intensity moments. We developed a physics- and motion-based model for both the puck and the players to determine potential targets for any pass and assessed interception chances. In addition, we incorporated rink control and scoring probability to better understand the factors that go into the decision to attempt an action, the likelihood of success and striving for the desired end result – a goal. After developing a multitude of novel metrics, we evaluated passes made throughout the available power plays and compared them to the optimal options at that time. This can be used to identify the risky players from the conservative players and advise a coach on who should be on the power play to target their desired result. Additionally, this can be used from a player development standpoint to improve a player's passing ability and to develop better passing strategies on the power play.
Jacob Goldstein is beginning his third year as a Research Analyst at Monumental Sports & Entertainment, supporting the NBA's Wizards, WNBA's Mystics, G-League's Go-Go and 2K League’s Wizards District Gaming. His research aids decision making across many aspects of basketball operations including the front office, coaching, and player performance. Prior to joining MSE, Jacob was a co-founder of BBall Index where he built a database of unique basketball evaluation metrics including Player Impact Plus-Minus. He received a degree in Mechanical Engineering from Lehigh University.
Data in the W
With more talent across the WNBA than ever before, teams are turning to data analysis to find new competitive advantages. From the unique position of supporting multiple teams across multiple leagues, Jacob compares the availability and accessibility of data across leagues, explores what it takes to support a modern WNBA team, and looks at how the rise in analytics is changing how teams operate.
Stay tuned for more!
CMSACamp 2022 Student Speakers
Reproducible Research Competition
ENTER THE COMPETITION
In an effort to foster reproducible research in the sports analytics community, we are hosting the fourth annual CMSAC Reproducible Research Competition! In this year's competition, there there are two tracks: (1) methodology development and (2) data / software contribution. The data / software contribution track is geared towards rewarding individuals that create resources and tools that provide the public with easy access to sports data (e.g., a new R package to access data that was previously not readily available).
- August 5th: Abstract submission deadline.
- August 8th: Selected abstracts will be notified and invited to submit papers (max of 10 pages).
- September 2nd: Paper submissions deadline for selected abstracts.
- October 29th: The top papers will present at CMSAC, in addition to being awarded cash prizes! Separate prizes will be awarded for: (1) high school / undergraduate students and (2) graduate students / non-students.
Your submission must follow the rules:
- For both competition tracks, your submissions must be based entirely on data that is freely available to the public (no paywall).
- All code, analysis steps, and / or software tools must be available for anyone to view. Using GitHub and completing all analysis in RMarkdown, Jupyter Notebooks, or some similar service is ideal, but not required.
- One co-author must be willing/able to present work at CMSAC!
For the methodology development track, papers are judged not just on the research/contributions, but also on the reproducibility of your analysis and code. For the data / software contribution track, more emphasis will be placed on documentation and easy access to new datasets.
CALL FOR POSTER ABSTRACTS
In an effort to foster intellectual growth and discovery among the statistics and data science community, we gladly welcome research submissions from the public.
Submit your research project to present your work as a poster using the form by September 16th. Note that there are limited spaces available, and abstracts for posters will be accepted on a rolling basis until slots are filled. Final acceptance notifications will be sent out by early-October.
Here's a recap of important dates and requirements to remember:
- September 16th: Abstract submission deadline.
- Abstracts will be selected on a rolling basis, final notification by early-October.
NOTE: This research submission form is not considered for entry into the reproducible research competition, meaning it does not require publicly available data and sharing of code.
The Carnegie Mellon Sports Analytics Conference is proudly hosted by the Department of Statistics & Data Science
and the Carnegie Mellon Sports Analytics club.
Questions can be directed to email@example.com.
CMSAC Activities Conduct Policy
(modeled on the ASA Activities Conduct Policy approved November 30, 2018 by American Statistical Association Board of Directors)
The Carnegie Mellon Sports Analytics Conference (CMSAC) is committed to providing an atmosphere in which personal respect and intellectual growth are valued and the free expression and exchange of ideas are encouraged. Consistent with this commitment, it is CMSAC policy that all participants in CMSAC activities enjoy a welcoming environment free from unlawful discrimination, harassment, and retaliation. We strive to be a community that welcomes and supports people of all backgrounds and identities. This includes, but is not limited to, members of any race, ethnicity, culture, national origin, color, immigration status, social and economic class, educational level, sex, sexual orientation, gender identity and expression, age, size, family status, political belief, religion, and mental and physical ability.
All CMSAC participants —including, but not limited to, attendees, statisticians, data scientists, sports analysts, students, registered guests, staff, contractors, sponsors, exhibitors, and volunteers —in the conference or any other related activity—whether official or unofficial—agree to comply with all rules and conditions of the activities. Your registration for or attendance at the 2020 Carnegie Mellon Sports Analytics Conference indicates your agreement to abide by this policy and its terms.
- Model and support the norms of professional respect necessary to promote the conditions for healthy exchange of scientific ideas.
- Speak and conduct yourself professionally; do not insult or disparage other participants.
- Be conscious of hierarchical structures in the sports analytics and/or broader statistics/data science community, specifically the existence of stark power differentials among students, junior analysts/statisticians, and senior analysts/statisticians—noting that fear of retaliation from those in senior-level positions can make it difficult for students or those in junior level positions to express discomfort, rebuff unwelcome advances, and report violations of the conduct policy.
- Be sensitive to body language and other non-verbal signals and respond respectfully.
- Violent threats or language directed against another person
- Discriminatory jokes and language
- Inclusion of unnecessary sexually explicit, violent, or otherwise sensitive materials in presentations
- Posting (or threatening to post), without permission, other people’s personally identifying information online, including on social networking sites
- Personal insults including, but not limited to, those using racist, sexist, homophobic, or xenophobic terms
- Unwelcome solicitation of emotional or physical intimacy such as sexual advances; propositions; sexual flirtations; sexually-related touching; and graphic gestures or comments about sex or another person’s dress, body, or sexual activities
- Advocating for, encouraging, or dismissing the severity of any of the above behaviors.
Consequences of Unacceptable Behavior
At the sole discretion of the CMSAC Program Committee, unacceptable behavior may result in removal from or denial of access to meeting facilities or activities, without refund of any applicable registration fees or costs. In addition, the CMSAC reserves the right to report violations to an individual’s employer or institution or to a law-enforcement agency. Those engaging in unacceptable behavior may also be banned from future CMSAC activities or face additional penalties.
What to Do if You Witness or Are Subject to Unacceptable Behavior
If you are being harassed, notice that someone else is being harassed, or have any other concerns relating to harassment, please contact a member of the CMSAC program committee either in person or at firstname.lastname@example.org. If you witness potential harm to a conference participant, be proactive in helping to mitigate or avoid that harm; if you see or hear something that concerns you, please say something.
Process for Adjudicating Reports of Misconduct
The CMSAC will contract with an independent entity to manage and adjudicate reported violations of the conduct policy.
Note: This Code of Conduct may be revised at any time by the Carnegie Mellon Sports Analytics Conference. Questions, concerns, or comments should be directed to email@example.com.