Carnegie Mellon University

Sports Analytics Conference

October 28th. Carnegie Mellon University.

Baker Hall A51, Giant Eagle Auditorium.

Sponsored By

Speakers

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Brian Burke

Senior Sports Analytics
Specialist at ESPN

The Analytic Kill Chain

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Christine Baugh

Harvard University

Current Evidence on
Football and Brain Trauma

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Ben Baumer

Smith College

How often does the best team win?
 

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Luke Bornn

Sacramento Kings

Possession Sketches:
Mapping NBA Strategies

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Peter Carr

Disney Research

Data Driven Ghosting using
Deep Imitation Learning

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Buddy Clark

Diamond Kinetics

Pittsburgh Sports Analytics Panel


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Bob Cook

Pittsburgh Pirates

Pittsburgh Sports Analytics Panel


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Rob Engel

MLB Advanced Media

Augmenting Baseball with Statcast


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Maksim Horowitz

Guest Speaker

Beginning a Career in Sports Analytics: At Your School and Beyond

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Karim Kassam

Pittsburgh Steelers

Pittsburgh Sports Analytics Panel
 

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Brian Macdonald

Florida Panthers

Realignment in Professional Sports
 

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Gregory Matthews

Loyola University Chicago

Are hot streaks in baseball
pitchers real? Mhmm.

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Priya Narasimhan

YinzCam

The Data-Driven
Mobile Fan Experience

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Kostas Pelechrinis

University of Pittsburgh

Evaluating Lineups Using
Network Embeddings

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Sam Ventura

Pittsburgh Penguins

Pittsburgh Sports Analytics Panel


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Sandy Weil

Kroenke, Sports & Entertainment

What You Won't Learn About Sports Analytics in School


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Ron Yurko

Carnegie Mellon University

nflWAR: A Reproducible Method For
Offensive Player Evaluation in Football

Schedule


Saturday, October 28th

Carnegie Mellon University, Baker Hall A51, Giant Eagle Auditorium

Time
8:00am      Registration
9:00am      Welcome      Rebecca Nugent & Jeffrey Phillips
9:15am      Keynote Address      Brian Burke, ESPN      The Analytic Kill Chain
                       
10:00am      Break
                       
10:15am      Talk      Sandy Weil, Kroenke Sports & Entertainment      What You Won't Learn about Sports Analytics in School
10:35am      Talk      Ron Yurko, Carnegie Mellon University      nflWAR: A Reproducible Method For Offensive Player Evaluation in Football
10:55am      Talk      Christine Baugh, Harvard University      Current Evidence on Football and Brain Trauma
                       
11:15am      Break
                       
11:30am      Talk      Kostas Pelechrinis, University of Pittsburgh      Evaluating Lineups Using Network Embeddings
11:50am      Talk      Luke Bornn, Sacramento Kings      Possession Sketches: Mapping NBA Strategies
12:10pm      Talk      Peter Carr, Disney Research      Data Driven Ghosting using Deep Imitation Learning
                       
12:30pm      Lunch & Poster Session
                       
1:30pm      Pittsburgh Sports Q&A Panel      Buddy Clark (Diamond Kinetics), Bob Cook (Pirates),      
                 Karim Kassam (Steelers), & Sam Ventura (Penguins)      
                       
2:30pm      Break
                       
2:45pm      Talk      Gregory Matthews, Loyola University Chicago      Are Hot Streaks in Baseball Pitchers Real? Mhmm.
3:05pm      Talk      Rob Engel, MLB Advanced Media      Augmenting Baseball with Statcast
3:25pm      Talk      Ben Baumer, Smith College      How Often does the Best Team Win?
                       
3:45pm      Break
                       
4:00pm      Talk      Maksim Horowitz      Beginning a Career in Sports Analytics: At Your School and Beyond
4:20pm      Talk      Brian Macdonald, Florida Panthers      Realignment in Professional Sports
4:40pm      Talk      Priya Narasimhan, YinzCam      The Data-Driven Mobile Fan Experience
                       
5:00pm      Closing Remarks      Rebecca Nugent & Jeffrey Phillips
                       
5:15pm      R Demo:      Carnegie Mellon Sports Analytics Club      
           A walkthrough of the types of data and advanced metrics that are accessible using the 'nflscrapR' package in R. Demo will utilize 'tidyverse' packages for manipulating and visualizing data. Principles covered can be easily extended to other publicly available sports data. Please bring your laptops and have R and R Studio installed prior to attending. Demonstration files can be downloaded here.            
                       
                       
                       
6:30pm      Farewell Mixer      Bridges Lounge at Wyndham Pittsburgh University Center      Come join us for a drink after the conference!


Sunday, October 29th

Carnegie Mellon University, Baker Hall A51, Giant Eagle Auditorium

Tartan Data Science Cup

Conference Location: Carnegie Mellon University

Baker Hall (A51, Giant Eagle Auditorum), 4909 Frew St, Pittsburgh, PA 15213


Hotel Location: Wyndham Pittsburgh University Center

100 Lytton Ave, Pittsburgh, PA 15213
Contact [email protected] for group discount code.
Group discount code expires on October 17th.

Hotel Registration


Directions to Conference

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

From Wyndham Pittsburgh University Center

1. Head southeast on Lytton Ave toward Fifth Ave - 0.1 mi
2. Turn right onto Fifth Ave - 0.1 mi
3. Use the 2nd from the left lane to turn left at the 1st cross street onto Bigelow Blvd - 0.1 mi
4. Continue onto Schenley Drive - 0.1 mi
5. Turn left to stay on Schenley Drive - 0.3 mi
6. Turn left onto Frew St - 0.2 mi
7. Destination will be on the left