Not clustered: 7. Rory Duncan — only 8 of 16 metrics available (needs ≥ 60%); 10. Rob de Groot — only 7 of 16 metrics available (needs ≥ 60%); 11. Hossain Tefaili — only 3 of 16 metrics available (needs ≥ 60%); 12. James Atkinson — only 2 of 16 metrics available (needs ≥ 60%); 13. Bradley Elliott — only 3 of 16 metrics available (needs ≥ 60%); 14. Justin Gilmour — only 2 of 16 metrics available (needs ≥ 60%); 15. Brett Gilmour — only 1 of 16 metrics available (needs ≥ 60%); 16. John Greenwood — only 2 of 16 metrics available (needs ≥ 60%); 17. Ward Gunn — only 1 of 16 metrics available (needs ≥ 60%); 18. James Morgan — only 1 of 16 metrics available (needs ≥ 60%); 19. Howard Taylor — only 1 of 16 metrics available (needs ≥ 60%); 20. Nariyuki Watabe — only 1 of 16 metrics available (needs ≥ 60%).
GlideComp groups the pilots by flying style, and not by score. It transforms the rank of every behavioural metric to a percentile inside the field. It then compares two pilots by the mean percentile gap over the metrics that both pilots have, and never fills in a missing value. Ward-linkage agglomeration forms the groups, and the best mean silhouette selects the number of groups. Each group carries the spread of the GAP ranks of its members, which shows where a style paid and where it did not.
k was searched from 2 to 2. The mean silhouette is 0.23 — a value near 0 means soft group boundaries, and a value near 1 means tight, well-separated groups.