F40-44 at the B.A.A. 10K: Marchant dominates in the heat
- Lanni Marchant, 41, wins F40-44 in 34:15 (5:31/mi), finishing 17th among all women in a 374-woman age group.
- Gap from 1st to 2nd: 4 minutes, 40 seconds — Marchant was in a different race entirely.
- Shannon Kinney runs 38:55 (6:16/mi) to claim 2nd, posting the 30th-fastest women's split on the 5K–8K segment.
- Tracy Schultz makes the day's boldest move in the group, climbing from 114th to 98th among women between the start and the finish line.
Ninety-three degrees in Boston, a 15 mph wind, and 374 women aged 40–44 lining up — that's the backdrop for what turned out to be one of the least suspenseful age-group victories of the morning. Lanni Marchant ran 34:15 at 5:31 per mile, a pace that put her 17th among all women in the field and left the rest of F40-44 in a different zip code. She moved from 18th to 17th among women in the back half of the race, and her 12th-fastest women's split on the 8K-to-finish stretch showed she wasn't coasting to the tape — she was still pressing in the heat.
Shannon Kinney of Louisville, CO held a steady 29th-place position among women throughout the race, crossing in 38:55 to claim 2nd in the age group by a comfortable margin. Her 30th-fastest women's split on the 5K–8K segment confirmed she ran a controlled, consistent effort in the conditions. Kimberly Tillotson of Barre, VT rounded out the podium in 42:40, though she slipped slightly in the women's standings over the final stretch — from 47th to 59th — suggesting the heat took something out of her legs late.
The most entertaining subplot deeper in the field belonged to Tracy Schultz of South Waltham, MA. She stood 114th among women at 5K, climbed to 106th by 8K, and finished 98th — a steady, disciplined negative-split effort on a brutal day that netted her 5th in the age group at 44:22. Maggie Brice (4th, 43:13) and Anne Shaw (6th, 45:50) filled out a competitive mid-pack, with places 6 through 10 separated by just 38 seconds across a span of five runners. In 93-degree heat, that kind of clustering tells its own story about how hard everyone was working just to hold on.
AI recap · generated from official results
