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Performance Workspace
Predicition
Simulation

Elite Women

Official results form the baseline. Only explicitly changed disciplines are replaced; additionally inserted athletes receive a complete prediction.

Avg. T1: 0:34 Avg. T2: 0:24

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Simulation
1 Aisha Nasser Baksh
KEN
15:40
2:05 / 100 m
G2
40:39
22:04
4:25 / km
1:19:21
Simulation for Aisha Nasser Baksh
/100 m
/km
These values apply only to the current simulation and are not saved.
2 Megan Irungu
KEN
15:25
2:03 / 100 m
G1
40:38
22:58
4:36 / km
1:19:59
Simulation for Megan Irungu
/100 m
/km
These values apply only to the current simulation and are not saved.
3 Achouak Terki
ALG
15:10
2:01 / 100 m
G2
41:12
24:17
4:51 / km
1:21:37
Simulation for Achouak Terki
/100 m
/km
These values apply only to the current simulation and are not saved.
4 Vivian Wairimu Hillier
KEN
18:19
2:27 / 100 m
G3
41:43
26:18
5:16 / km
1:27:18
Simulation for Vivian Wairimu Hillier
/100 m
/km
These values apply only to the current simulation and are not saved.
5 Iman Kaiza
KEN
16:47
2:14 / 100 m
G3
43:31
39:38
7:56 / km
1:40:54
Simulation for Iman Kaiza
/100 m
/km
These values apply only to the current simulation and are not saved.
6 Uwizeye Valentine
RWA
28:01
3:44 / 100 m
G5
49:44
24:06
4:49 / km
1:42:49
Simulation for Uwizeye Valentine
/100 m
/km
These values apply only to the current simulation and are not saved.
7 Tanya Bravo
MOZ
19:48
2:38 / 100 m
G4
53:41
35:31
7:06 / km
1:49:58
Simulation for Tanya Bravo
/100 m
/km
These values apply only to the current simulation and are not saved.
8 Salma Rajab
TAN
23:54
3:11 / 100 m
G6
56:42
36:56
7:23 / km
1:58:30
Simulation for Salma Rajab
/100 m
/km
These values apply only to the current simulation and are not saved.
9 Asha Kombo Khamis
TAN
32:24
4:19 / 100 m
G7
55:24
45:30
9:06 / km
2:14:16
Simulation for Asha Kombo Khamis
/100 m
/km
These values apply only to the current simulation and are not saved.