Theses and Dissertations
This collection includes both ASU Theses and Dissertations, submitted by graduate students, and the Barrett, Honors College theses submitted by undergraduate students.
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Description
This paper attempts to introduce analytics and regression techniques into the National Hockey League. Hockey as a sport has been a slow adapter of analytics, and this can be attributed to poor data collection methods. Using data collected for hockeyreference.com, and R statistical software, the number of wins a team experiences will be predicted using Goals For and Goals Against statistics from 2005-2017. The model showed statistical significance and strong normality throughout the data. The number of wins each team was expected to experience in 2016-2017 was predicted using the model and then compared to the actual number of games each team won. To further analyze the validity of the model, the expected playoff outcome for 2016-2017 was compared to the observed playoff outcome. The discussion focused on team's that did not fit the model or traditional analytics and expected forecasts. The possible discrepancies were analyzed using the Las Vegas Golden Knights as a case study. Possible next steps for data analysis are presented and the role of future technology and innovation in hockey analytics is discussed and predicted.
ContributorsVermeer, Brandon Elliot (Author) / Goegan, Brian (Thesis director) / Eaton, John (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
The National Hockey League is the highest league of hockey in the world. They have the highest attendance percentage out of the four major sports in North America (National Football League, National Basketball Association, Major League Baseball). However, the NHL is lacking insurmountably in the media rights revenue space compared to these other three major sports leagues in the United States. This paper is designed to find innovative solutions to remedy this problem, by incorporating the new Puck and Player Tracking technology into the television and streaming broadcasts. We first identified the core values of fans and their consumption habits and behaviors. We obtained an interview with the Senior Hockey Writer for ESPN, Greg Wyshynski, on the development and implementation of Puck and Player Tracking technology. From there, we created a survey to gauge the consumer perception of the Puck and Player Tracking technology, which allowed us to perform analytical tests to determine the best possible implementation strategy for the PPT technology into broadcasts. Using statistical testing methods, we identified that survey respondents found the least invasive augmented broadcast element was a small, gray puck trail displayed on the ice. From these findings, we proposed that the ideal implementation of the Puck and Player Tracking technology into television broadcasts should feature this element in all future traditional NHL television broadcasts and the player statistical broadcast should be offered as a second screen streamed broadcast. This implementation, compounded with other factors in the upcoming NHL media rights negotiations, creates a more valuable television product, which in turn will lead to a more competitive media rights deal.
ContributorsDiluchio, Ryan Patrick (Author) / McIntosh, Daniel (Thesis director) / Eaton, John (Committee member) / Department of Marketing (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05