The observation inventory
Who has recorded activity?
460 athletes have stored activities; 455 have Runs. This is the full inventory in our 2024 snapshot—not a census of everyone posting publicly on Strava.
460 matching athletes · page 9 of 10. Sorted for inspection, not a completeness or training-quality ranking.
| Athlete | Assigned event | Recorded sex | Run weeks /52 | Distance weeks /52 | Median km /week | Run records | Warning Run weeks |
|---|---|---|---|---|---|---|---|
| Said Mechaal | 5000m | male | 10 | 9 | 34.4 | 50 | 0 |
| Evan Jager | 3000m Steeplechase | male | 9 | 9 | 113.3 | 99 | 1 |
| Mario García Romo | Unassigned | male | 9 | 9 | 38.9 | 48 | 7 |
| Sarah Billings | 1500m | female | 9 | 9 | 21.5 | 24 | 0 |
| Ziad Audah | 1500m | male | 9 | 9 | 64.4 | 52 | 0 |
| Ahmed Ouhda | Marathon | male | 8 | 8 | 23.6 | 15 | 0 |
| Militsa Mircheva | Marathon | female | 8 | 8 | 10.5 | 9 | 0 |
| Nathan MARTIN | 10 Mile Road | male | 8 | 8 | 6.9 | 10 | 0 |
| Christian Noble | 1500m | male | 7 | 7 | 38.8 | 21 | 1 |
| Isaac Basten | 1500m | male | 7 | 7 | 38.9 | 46 | 0 |
| Jan Badia | 1500m | male | 7 | 7 | 64.3 | 44 | 1 |
| Koen Naert | Half Marathon | male | 7 | 7 | 20.0 | 18 | 0 |
| Rob Napolitano | 1500m | male | 7 | 7 | 70.0 | 26 | 1 |
| Ryu Takaku | Marathon | male | 7 | 7 | 60.0 | 14 | 0 |
| Andrew Coscoran | 5000m | male | 6 | 6 | 36.1 | 36 | 0 |
| Mateusz Borkowski | 800m | male | 6 | 6 | 10.1 | 13 | 0 |
| Zouhair Talbi | Marathon | male | 6 | 6 | 32.9 | 17 | 0 |
| Alex Phillip | 5000m | male | 5 | 5 | 4.9 | 11 | 1 |
| Irvette Van Zyl | Marathon | female | 5 | 5 | 42.4 | 7 | 0 |
| Luke McCann | 1500m | male | 5 | 5 | 87.0 | 62 | 1 |
| Sadie Engelhardt | 1500m | female | 5 | 5 | 13.7 | 12 | 0 |
| Kyle Langford | 800m | male | 5 | 4 | 5.5 | 5 | 0 |
| Craig Engels | 1500m | male | 4 | 4 | 20.0 | 6 | 1 |
| Ermias Girma | 1500m | male | 4 | 4 | 7.7 | 4 | 0 |
| Jonathan Mellor | Marathon | male | 4 | 4 | 2.0 | 4 | 0 |
| Kirami Collin Yego | 5000m | male | 4 | 4 | 14.0 | 6 | 0 |
| Melissa Tanaka | 1500m | female | 4 | 4 | 32.9 | 16 | 0 |
| Naoki Aiba | Marathon | male | 4 | 4 | 32.3 | 7 | 0 |
| sheila chepkirui | Marathon | female | 4 | 4 | 3.1 | 4 | 0 |
| Invida Mauriņa | 800m | female | 4 | 3 | 83.0 | 130 | 0 |
| Amanda Vestri | 10000m | female | 3 | 3 | 5.7 | 5 | 0 |
| Carlee Hansen | 1500m | female | 3 | 3 | 4.9 | 3 | 0 |
| Matt Wisner | 1500m | male | 3 | 3 | 9.7 | 3 | 3 |
| Niels Laros | 1500m | male | 3 | 3 | 9.4 | 3 | 1 |
| Parul Chaudhary | 3000m Steeplechase | female | 3 | 3 | 4.5 | 4 | 0 |
| Sebastian Fernandez | 800m | male | 3 | 3 | 4.2 | 3 | 0 |
| Yolanda Ngarambe | 1500m | female | 3 | 3 | 13.6 | 7 | 0 |
| Brian Fay | 10000m | male | 2 | 2 | 21.5 | 2 | 0 |
| Daniel Simmons | 5000m | male | 2 | 2 | 17.7 | 3 | 0 |
| Mariska Parewyck | 1500m | female | 2 | 2 | 6.6 | 2 | 0 |
| Maël Gouyette | 1500m | male | 2 | 2 | 64.7 | 11 | 0 |
| Parker Wolfe | 5000m | male | 2 | 2 | 12.6 | 2 | 0 |
| Sondre Nordstad Moen | Half Marathon | male | 2 | 2 | 42.4 | 2 | 0 |
| Stephen Evans | 800m | male | 2 | 2 | 38.4 | 17 | 0 |
| Yaseen Abdalla | 5000m | male | 2 | 2 | 31.0 | 2 | 0 |
| joe ewing | 1500m | male | 2 | 2 | 15.3 | 2 | 0 |
| Abdihamid nur | 5000m | male | 1 | 1 | 22.4 | 1 | 1 |
| Andrew Hunter | 1500m | male | 1 | 1 | 4.0 | 1 | 0 |
| Giovanna Epis | Marathon | female | 1 | 1 | 18.0 | 1 | 0 |
| Haftom Welday | Marathon | male | 1 | 1 | 27.9 | 1 | 0 |
Run records include partial December 30–31; weekly medians exclude it. Zero Run weeks here can mean the athlete has only non-running activity.
What counts as publicly recorded?
At least one activity stored in this snapshot. We cannot confirm current account visibility, complete capture, or that every training session was posted. Activity names and descriptions can suggest workouts, but the database has no validated structured-workout label.
Contributing-week counts and source warnings are separate: activity evidence can remain in a week whose collection summary was inconsistent. Neither a year of posts nor a high record count establishes complete training.
Assigned event is a grouping rule, not a declared specialty: the event with the highest stored 2024 World Athletics result points wins. Ties use the number of stored results, then the event name alphabetically. Missing scores sort last. An athlete can race other events; this label does not say which event they trained for. The source’s 1,100-point floor and incomplete result collection can affect the assignment.