Every study below is drawn from millions of observed activities and race results — everyday runners, not elite athletes. Patterns we found, written plainly, with the method in full view.
Descriptive analysis of finish-time consistency across 1,039 parkrun 5K series from 2020 to 2026, using 43,032,659 observed result records in SEL.
This study examines how first recorded finishes in the final 10% of a same-series 5k field relate to being observed again within four weeks.
An analysis of first finishes after a 4+ week break across 5 km events based on 600,422 results from SEL's high-confidence dataset from 2020 to 2026.
Sports Evidence Lab analysed 169,902 valid marathon finish times across 30 event-year groups, comparing finish-time bands and pooled medians for London, Boston and Chicago.
SEL looked at 136,996 observed running journeys from 524,777 public 5k results to find playful patterns like Local Loyalists and Comeback Runners.
Observed evidence from 527,602 non-parkrun race records shows that larger same-club groups were not usually the faster cohort within the same event.
This article examines changes in parkrun participation and demographic composition, revealing observed trends in finish times and field sizes from 2023 to 2025.
Connect your history and we'll surface the evidence drawn from runners whose journey looks like yours.