<p>Elite athletes regularly perform under intense pressure and high-stakes conditions, making emotion regulation a critical component of sport performance. In recent years, affective computing (AC) technologies—that is, systems designed to recognize, interpret, and influence human emotions—have been adapted as novel tools for emotion regulation in sport. While these AI-based technologies present new possibilities for performance enhancement, they also raise ethical concerns across two distinct domains: those inherent to affective computing technology itself, such as the risk of emotion surveillance and manipulation, and those specific to the sporting context, such as threats to competitive fairness and the misuse of emotion data for performance-related decisions. We argue that when AC is deployed in sport, these two domains intersect in ways that can amplify risks or generate new ethical issues that neither domain sufficiently addresses on its own. To address this, we develop an evaluation framework that integrates four elements: affective computing ethics (ACE) and sport AI ethics (SAIE) themes as the substantive problem space; the ACE-SAIE intersection as the analytical focus; a normative position grounded in competition integrity and the fundamental rights of the athlete; and five ethical principles—beneficence, non-maleficence, autonomy, justice, and explicability—as the evaluative lenses. The framework is applied to a nuanced, hypothetical example case. We conclude that the ethically sound use of AC for emotion regulation in sport requires consideration of both the technology-inherent and context-specific dimensions of the problem, and specifically, their intersection.</p>