Accessing particular aggressive operating knowledge for a person named Clarence Demar inside a selected marathon occasion includes trying to find data of his efficiency. This would possibly embrace his ending time, general placement, age group rating, and probably break up instances for varied segments of the race. An instance could be discovering data detailing how Clarence Demar carried out within the 2023 Boston Marathon, together with his last time and place amongst all members.
Finding this sort of knowledge 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 knowledge contributes to the broader narrative of aggressive operating, highlighting particular person achievements and the expansion of the game over time.
