Purpose: The datafication of teaching and learning settings continues to be of broad interest to the learning sciences. In response, this study aims to explore a non-traditional learning setting, specifically two Golf Teaching and Research Programs, to investigate how athletes and coaches capture, analyze and use performance data to improve their practice. Athletic settings are well known for spurring the proliferation of personal data about performance across a range of contexts and ability levels. In these contexts, interest in athletes' experiences with data has often been overshadowed by a focus on the technologies capturing the data and their capabilities. Design/methodology/approach: This ethnographic research focuses on the data-rich experiences of golf coaches and students during two pedagogical encounters. Using Balka and Star's (2015) concept of shadow bodies, this article explores how golfing bodies can become infused with data, creating partial representations of a lived experience that can be augmented and manipulated for pedagogical purposes, depending on the context and the individuals involved. Findings: Interaction analysis helps the authors to examine the embodied and interactional nature of coach-golfer pedagogical encounters across two sites, a local Professional Golf Association golf course and a Swing Analysis Lab. The authors also split these encounters into two episodes to identify how coaches and golfers use partial representations of their bodies to analyze performance and interpret data. Originality/value: This research suggests that as data-driven practices continue to engulf athletic settings, and teaching and learning settings broadly, emphasis needs to be placed on ensuring that athletes (learners) -- from the most recreational to elite users -- have an embodied understanding of their performance to improve their ability. Furthermore, this article raises questions about what data gets shared between instructors and athletes and how that data is used.