The dataset comprises participant-level data collected to investigate the relationship between the menstrual cycle and athletic performance, with a specific focus on balance, coordination, and perceived performance fluctuations across various menstrual phases. The data are organised across multiple categorical, ordinal, and continuous variables, allowing for a multifaceted examination of the potential effects of menstrual cycle dynamics on physical performance indicators and subjective experiences. Each participant was assigned a unique identifier, and their age was recorded. Participants were also asked to report their menstrual cycle status over the preceding three months. This status was classified into six categories: (1) natural regular menstrual cycle with a normal cycle length, (2) natural irregular cycle, (3) abnormal cycle, (4) absent menstrual cycle, (5) use of hormonal contraceptives with regular bleeding, and (6) hormonal contraceptives without regular bleeding. In addition, data were collected regarding contraceptive use, including whether contraceptives were used to control the menstrual cycle and the reasons for such use. The dataset further includes information on pre-menstrual symptom frequency, categorised as 'Always', 'Most of the time', 'Sometimes', or 'Never'. Pain intensity experienced during menstruation was self-reported using a numerical rating scale ranging from 1 to 10. Participants were also asked to indicate the phases of the menstrual cycle during which they perceived their athletic performance to be at its worst and best. Options included: during the period, seven days after the period, two weeks before the next period, seven days before the next period, one to two days before the period, or no noticeable difference. Athletes were surveyed regarding communication with team staff about menstrual cycle-related training or performance issues. This variable captures whether such discussions occurred, and the data are disaggregated by the gender and gender identity of the support staff, including coaches, trainers, and managers. The dataset also explores athletes’ perceptions of being benched during any phase of the menstrual cycle, particularly if a perceived decline in performance occurred at that time. Cycle tracking data were collected, encompassing both historical and actual cycle lengths. These data include prior cycle lengths, along with actual and average menstrual cycle durations across six to eight cycles, presented as raw values and rounded averages. This tracking facilitates longitudinal analysis of menstrual patterns in relation to performance metrics. Performance testing outcomes were recorded in detail. Each testing day was linked to the corresponding menstrual cycle phase. Several physical performance tests were conducted, including the Eye-Hand Coordination Test, Stork Balance Stand Test, and Y Balance Test. Additionally, the number of dropped during the Eye-Hand Coordination Test and the number of failed attempts in the Y Balance Test were documented. This comprehensive dataset offers substantial potential for exploring the nuanced interactions between menstrual cycle phases and athletic performance variables, thereby contributing to a more informed understanding of female athlete physiology and related support strategies.