Knowledge generated from the annual 13.1-mile footrace via Brooklyn gives a wealth of data. This knowledge sometimes contains ending occasions for every participant, categorized by gender, age group, and typically location. Typically, it additionally incorporates particulars like tempo, total placement, and age group rating. Instance knowledge factors would possibly embrace the profitable time, common ending time, and variety of finishers.
Entry to this info gives vital worth for numerous stakeholders. Runners can analyze their efficiency, observe progress over time, and evaluate themselves to others. Coaches can make the most of the information to evaluate coaching effectiveness and establish areas for enchancment. Race organizers profit from the information by understanding participant demographics and enhancing future occasions. Moreover, the historic document of those outcomes gives a captivating perspective on the evolution of the race and the general developments in long-distance operating.
