Progress against the field
Between London 2024 and London Excel 2025, Emma Deegan lost 11:27 to the field.
The clock says 7:00 slower, but the races themselves got 4:27 quicker for everyone.
How this is worked out ⓘ
A finish time moves for two reasons: the athlete, and the race — its course, its floor, its day. For each pair of races in a row in one category, we take everyone who raced both and use the middle of how much they moved (the median) as "the race". Whatever is left is the athlete. Doubles are compared only when the same two people raced both, and told as the pair's; relays are left out. A pair with fewer than 15 athletes in common is not shown. The summary above covers Individual Open · Women, the one raced most; every comparison is in the list below.
Every race
7 races · 7 events
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London Excel4 Dec 2025Individual Open · Women1:14:48100/1379Beat 93%
↑ 370 days after London 2024 11:27 worse than the field Why ↓Close ↑
11:27 behind the field: 7:00 slower on the clock, against 4:27 faster for everyone.
The fieldCompare these two →4:27 faster This athlete7:00 slower -
London29 Nov 2024Individual Open · Women1:07:48 PB10/590Beat 98%
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Dublin15 Nov 2024Doubles Open · Women1:30:15 PB186/273Beat 32%
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Milan19 Oct 2024Individual Open · Women1:12:5524/673Beat 96%
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London26 Nov 2023Individual Open · Women1:10:0318/961Beat 98%
↑ 302 days after Manchester 2023 10:51 better than the field Why ↓Close ↑
10:51 better than the field: 15:13 faster on the clock, against 4:22 faster for everyone.
The fieldCompare these two →4:22 faster This athlete15:13 faster -
Manchester28 Jan 2023Individual Open · Women1:25:1683/281Beat 71%
↑ 70 days after London 2022 3:59 worse than the field Why ↓Close ↑
5:36 slower on the clock in a race that was 1:37 slower for everyone: 3:59 lost to the field.
The fieldCompare these two →1:37 slower This athlete5:36 slower -
London19 Nov 2022Individual Open · Women1:19:4083/411Beat 80%