Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 19 of 19 for “"Sports Analytics"”.
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Sports analytics and optimization for team formation problems
… integrate the growing sub-domain of OR known as Analytics with the Team Formation Problem, specifically in the context of sports. To begin, we develop a novel weighted network clustering algorithm to classify players in the National Basketball Association (NBA) into archetypes. Next, drawing upon …
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Methods for imbalanced data in sports analytics: improving injury prediction models
With the unprecedented growth of sports streaming and the increasing use of machine learning insports analytics, a more in-depth understanding of real-world datasets has become essential, along with methods that can handle noisy data that degrade predictive accuracy. Sports injuries are a central …
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Sports Analytics: Exploring Data and Technology in Women’s University Hockey in Canada
… study is to explore stakeholder perspectives on sports analytics in women’s inter-university hockey in Canada. The study looks at how sports analytics is being incorporated at this level while also looking at the advantages and challenges that arise. Keeping the concept of mediatization in mind, …
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MOVING BLACK-BOXING TOWARDS STATISTICS: CASE STUDIES FROM AMERICAN FOOTBALL
… This paradigm is especially prevalent in sports analytics. While the modern ML pipeline excels in data-rich environments, it struggles with challenges that statisticians traditionally consider, such as limited data, selection bias, strong dependency structures, and the need for uncertainty …
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Motion tracking problems in Internet of Things (IoT) and wireless networking
… failures and crashes. In another application in sports analytics, we embed sensors and radios inside baseballs and cricket balls and compute their 3D trajectory and spin patterns, even when they move at extremely high speeds. In a third application for wireless networks, we explore the …
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Building an on-ball screen dataset using supervised and unsupervised learning
… of statistics and machine learning in sports analytics have made significant advances since the early days of Bill James' publication, Baseball Analyst. In the publication, analysts and researchers would investigate matters such as how often a batter would reach first base to determine …
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Quantifying Grit in MLB Batters
… batters, a crucial yet underexplored area in sports analytics traditionally gauged through qualitative assessment. Utilizing 2023 game data from the top 160 most utilized MLB batters, this study develops a Grit Score for each player based on the number of at-bats required to return to average …
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Using machine learning to derive insights from sports location data
Historically, much of sports analytics has aimed to find relationships between discrete events and outcomes. The availability of high-resolution event location and tracking data has led to many new opportunities in sports research. However, it is often challenging to apply machine learning to …
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An enhanced Bayesian Network prediction model for football matches based on player performance
In sports analytics, existing researches have showed that the Bayesian networks (BN) approach has greatly contributed to predicting football match results with considerably high accuracy as compared to other classical statistical and machine learning approaches. However, existing prediction models …
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Battery-free wireless sensing and beyond
… motion is also essential, especially in sports analytics (e.g., tracking ball movement), yet has been under-explored. Motivated by the need, we use RFID tags to sense a ball’s speed, direction, spin, and rotation axis. In particular, we exploit the polarization in RFID to enable motion …
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Design principles of multi-axis, large magnitude force sensors based on stress fields for use in human and robotic locomotion
… in various fields such as healthcare, sports analytics, virtual reality, and robotics.
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A Visual Analytics Approach to Comparing Cohorts of Event Sequences
… generated across nearly every domain of data analytics, from e-commerce web logging to electronic health records used by doctors and medical researchers. Every day, this data type is reviewed by humans who apply statistical tests, hoping to learn everything they can about how these processes …
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Injury risk and performance: Towards a better understanding of the complexities and intricacies of load monitoring within an elite football club
… has emerged as a pivotal aspect of contemporary sports science, particularly in the context of athlete training and competition. This thesis delves into the dynamic landscape of load monitoring with a particular focus on soccer, a sport of unparalleled global popularity, boasting 200,000 …
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When Moneyball Meets the Beautiful Game: A Predictive Analytics Approach to Exploring Key Drivers for Soccer Player Valuation
… provides very theoretical pricing frameworks. Sports science literature uncovers numerous pertinent attributes and skills but gives limited insights into valuation practice. The overarching research question of this work is: what are the key drivers of player valuation in the soccer transfer …
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Identifying and Validating Momentum Shifts in the NFL A Data-Driven Approach to Predicting Short-Term Team Success
<p>This thesis aims to demonstrate that momentum in professional NFL games is real, measurable, and leads to short-term success. Using play-by-play data from over ten NFL seasons, a custom momentum score system was developed by combining engineered features and changes in win probability for key …
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Markov model methods for discrete sequences and soccer analysis
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-20 without embargo terms
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A Low-Cost Computer Vision Approach for Objectively Evaluating Triple Jump Technique: Proof of Concept
The triple jump is a track and field event comprising an approach run followed by three phases – hop, step, and jump – culminating in a sand pit landing. Typically, triple jump technique is evaluated subjectively by coaches, with quantitative assessments often relying on high-cost multi-camera …
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Wireless sensing: Material identification and localization
The student, Ashutosh Dhekne, submitted this Dissertation for approval on 2019-07-11 at 14:58.