Skip to main navigation
Skip to search
Skip to main content
Experts@Minnesota Home
Home
Profiles
Research units
University Assets
Projects and Grants
Research output
Datasets
Press/Media
Activities
Fellowships, Honors, and Prizes
Impacts
Search by expertise, name or affiliation
A method for using player tracking data in basketball to learn player skills and predict team performance
Brian Skinner
,
Stephen J. Guy
Computer Science and Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
23
Scopus citations
Overview
Fingerprint
Projects and Grants
(1)
Fingerprint
Dive into the research topics of 'A method for using player tracking data in basketball to learn player skills and predict team performance'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Analysis Procedure
25%
Basketball
100%
Basketball Analysis
25%
Game Interaction
25%
Inference Scheme
25%
Limited Datasets
25%
Memphis
25%
Network Model
25%
New Data Sources
25%
Oklahoma City
25%
Play Skills
100%
Player Performance
25%
Player Tracking Data
100%
Playoffs
25%
Public Domain
25%
Simplified Network
25%
Statistical Inference
25%
Team Performance
100%
Team Success
25%
Thunder
25%
Mathematics
Data Source
100%
Inferential Statistics
100%
Network Model
100%
Simulated Data
100%
Computer Science
Data Source
33%
Simulated Data
33%
Team Performance
100%
Tracking Data
100%