Accessing particular aggressive working information for a person named Clarence Demar inside a selected marathon occasion entails trying to find data of his efficiency. This would possibly embody his ending time, general placement, age group rating, and doubtlessly cut up occasions for varied segments of the race. An instance can be discovering data detailing how Clarence Demar carried out within the 2023 Boston Marathon, together with his remaining time and place amongst all contributors.
Finding such a information presents beneficial insights for varied stakeholders. For runners, it offers benchmarks for private progress, permits comparability with friends, and informs coaching methods. Coaches can make the most of this data to evaluate athlete efficiency and tailor coaching plans. Race organizers profit from detailed data for official outcomes, statistical evaluation, and historic documentation. Furthermore, the supply of such information contributes to the broader narrative of aggressive working, highlighting particular person achievements and the expansion of the game over time.
