SSAC 2022 Research Papers & Authors

Review our SSAC 2022 research papers and go to our voting page to cast your vote for your favorite open source research paper!

Decoding MLB Pitch Sequencing Strategies via Directed Graph Embeddings
Description:

This paper presents a novel analysis of pitch sequencing in MajorLeague Baseball (MLB). By leveraging high-resolution pitch tracking data from ~3.5million pitches across the 2015-2019 seasons, this work introduces graph embeddings that successfully map short- and long-term patterns in pitch sequences. This quantitative approach to pitch sequencing captures the intuition that pitchers exhibit a sense of memory when on the mound that is not adequately represented by individual pitch selection or simple pitch-to-pitch correlation.

GitHub Link (Open Source):
http://GitHub.com
Author(s):

Arnav Prasad

Bio 1 Text
Bio 2 Text
Bio 3 Text
Bio 4 Text
Risk of Collusion: Will Groups of 3 Ruin the FIFA World Cup?
Description:

GitHub Link (Open Source):
Author(s):

Julien Guyon

Using Mobile Location Data to Assess Sponsorship Effectiveness
Description:

GitHub Link (Open Source):
Author(s):

David Schweidel
Kyeongbin Kim
Michelle Andrews

Routine Inspection: A playbook for corner kicks
Description:

GitHub Link (Open Source):
Author(s):

Laurie Shaw, Harvard University
Sudarshan Gopaladesikan, SL Benfica

Predicting NBA Talent from Enormous Amounts of College Basketball Tracking Data
Description:

GitHub Link (Open Source):
Author(s):

Andrew Patton, Matt Scott, Nathan Walker, Alex Ottenwess, Paul Power, Aditya Cherukumudi, and Patrick Lucey (Stats Perform)

MAYFIELD: Machine Learning Algorithm for Yearly Forecasting Indicators and Estimation of Long-Run Player Development
Description:

GitHub Link (Open Source):
Author(s):

Alexander Williams, The Ohio State University
Sethward Brugler, General Motors
Benjamin Clarke, The Ohio State University

I Think We'll Go to Boston - Marathon Performance Prediction
Description:

GitHub Link (Open Source):
Author(s):

Varun Pemmaraju, Strava
Dave Hoch, Strava