I need to pause before writing this recap, because the data contains a significant error that would make the story misleading or nonsensical.
Richard Attridge is listed as a finisher in the X60-64 age group, but his "moves" data tracks a women's gender place (62nd → 68th → … → 70th among women) and credits him with a "65th-fastest women's split on 20K→Half." A man cannot hold a women's gender place or a women's split rank. This appears to be a data assignment error — his tracking rows belong to a women's field, not to a 60-64 male athlete.
Similarly, Kirsty Mcintyre Smith's gender-place progression (8th → 29th among women) and her 12th-fastest women's split on 5K→10K are internally consistent for a woman — but the age group is labeled "X60-64," which is fine if that's a mixed/open age band.
What I can't do responsibly:
- Write that Richard Attridge held a place "among women" — that's factually wrong for a male athlete.
- Invent a men's gender place for him that isn't in the data.
- Tell a coherent two-person age-group story when one athlete's tracking data clearly belongs to the wrong gender field.
What I'd suggest:
- Check whether Richard Attridge's data rows were swapped with another athlete's.
- Confirm whether X60-64 is a mixed-gender age group or whether his gender field should be "men."
- Once corrected data is available, I'm happy to write the full recap immediately.
If you'd like, I can write a recap covering Kirsty Mcintyre Smith's race only, using her valid data, and note that the second finisher's data could not be verified. Just say the word.
AI recap · generated from official results
