A statistical investigation of data from the NHL Combine

Date created: 
2019-05-22
Identifier: 
etd20350
Keywords: 
Central Scouting Service
Hockey
NHL Combine
Sports analytics
Abstract: 

This project seeks to discover useful information from the NHL Combine results by comparing NHL Central Scouting Service rankings, NHL Draft results and measures of player evaluation. Data management is central to this project and we describe the details of handling datasets including the large and proprietary Combine dataset. Many data management decisions are made based on knowledge from the sport of hockey. The investigation of three questions of interest are carried out utilizing modern machine learning techniques such as random forests. Investigation 1 determines whether the Combine serves any purpose in terms of modifying the opinion of Central Scouting. Investigation 2 focuses on which test results of the Combine are important in predicting prospects’ future development. Investigation 3 considers how the Combine results revise Central Scouting’s beliefs.

Document type: 
Graduating extended essay / Research project
Rights: 
This thesis may be printed or downloaded for non-commercial research and scholarly purposes. Copyright remains with the author.
File(s): 
Supervisor(s): 
Tim Swartz
Department: 
Science: Department of Statistics and Actuarial Science
Thesis type: 
(Project) M.Sc.
Statistics: