Goddard, Adamski Named First Team Academic All-RMAC
Two standout student-athletes from Black Hills State University, Cassidy Goddard and Gretchen Adamski, have been named to the First Team Academic All-RMAC in women's indoor track and field, as announced by the RMAC. Goddard excelled with a fifth-place finish in the weight throw and achieved significant marks throughout the season, while Adamski demonstrated remarkable improvement in pole vaulting, setting new personal records. In total, 197 athletes were recognized in various categories, highlighting academic excellence among competitors. Both Goddard and Adamski are pursuing degrees in exercise science and contributed to the team's success, underlining the dual commitment to athletics and academics.
By the Numbers- 25 individuals recognized as First Team Academic All-RMAC.
- 197 total athletes received RMAC Academic Honor Roll recognition.
- Goddard recorded a career-best weight throw of 16.63m (54' 6.75).
- Adamski achieved a personal best of 3.82m (12' 6.25) in the pole vault, ranking fourth all-time for the Yellow Jackets.
- The RMAC emphasizes both academic and athletic excellence among its student-athletes.
- Goddard and Adamski's achievements reflect the competitive spirit and dedication within the Black Hills State team.
- A total of 13 teammates joined them on the RMAC Academic Honor Roll, showcasing a strong academic performance across the team.
Looking forward, both athletes will continue to compete in upcoming outdoor events, with opportunities to further improve their personal bests and possibly qualify for higher honors. Their continued focus on academics will also be vital as they remain eligible for future athletic recognitions.
Bottom LineThe recognition of Goddard and Adamski demonstrates the successful balance of academics and athletics at Black Hills State University. Their accomplishments inspire both current and future student-athletes to strive for excellence in all areas of their collegiate experience.
Read more at
The summary of the linked article was generated with the assistance of artificial intelligence technology from OpenAI
