Objectives

Overview

The Passways Project at JMU is considering ways in which graph-theoretic algorithms and models can be used to analyze "goal-oriented sports" like basketball, hockey (field and ice), lacrosse, and soccer.

Unlike most other efforts in sports analytics, the Passways Project is not focused on the use of machine learning techniques. Instead, it is focused on the use of network optimization models, network equilibrium models, and classical spatial analysis and statistics.


 

Research Areas

 

Support

STATS has generously provided the Passways Project with real-time tracking data from about 45 different soccer matches. This data set contains the location of the ball and every player on the field every 100 milliseconds.

Stats Bomb has generously provided the Passways Project with tagged/categorized events from 260 different soccer matches.