100H
HJ
SP
200m
LJ
JT
800m
points
final
final
final
final
final
final
final
1.
Susan Coltman
13.62
173
13.02
24.98
607
39.99
2.20.6
5895
+2.3
+2.6
+0.2
CAN
1033
891
729
889
871
667
815
compared to forecast
+20
+96
-14
+1
-6
+45
-44
+98
2.
Remona Fransen
14.02
185
12.47
25.16
610
30.74
2.19.76
5779
+4.2
+2.6
0.0
NED
976
1041
692
872
880
491
827
compared to forecast
+62
+50
-40
+4
-44
-34
-17
-19
3.
Yana Maximava
14.40
185
14.15
25.85
570
36.10
2.19.72
5757
+2.3
+1.2
+0.8
BLR
923
1041
804
810
759
593
827
compared to forecast
-18
+25
+15
-24
-94
-126
-48
-270
4.
Gemma Weetman
14.61
161
10.89
25.60
596
35.40
2.13.49
5392
+4.2
+1.2
+0.8
GBR
894
747
588
833
837
579
914
compared to forecast
+22
-12
+28
+37
+24
+33
+43
+175
5.
Katerina Konvalinková
14.56
173
10.75
25.81
586
31.45
2.21.31
5302
+3.7
+1.2
+0.3
CZE
901
891
579
814
807
504
806
compared to forecast
+59
-112
-42
+5
-83
-85
+18
-240
6.
Lene Myrmel
13.89
164
10.50
25.69
548
38.42
2.21.76
5294
+2.3
+1.2
+1.4
NOR
994
783
562
824
694
637
800
compared to forecast
+58
+59
-44
+13
-116
+58
+3
+31
7.
Babs Egbers
14.16
170
12.13
25.52
574
31.06
2.36.07
5208
+4.2
+2.6
+2.1
NED
956
855
670
840
771
497
619
compared to forecast
+64
-36
+13
+2
-21
-45
-109
-132
8.
Brenda Baar
15.03
173
10.45
25.60
596
28.41
2.22.11
5200
+4.2
+1.2
+2.0
NED
838
891
559
833
837
447
795
compared to forecast
+20
+49
-47
+24
+15
+52
+29
+142
9.
Nicole Berghouwer
15.53
161
11.61
26.51
507
33.57
2.32.08
4697
+3.7
+3.2
+1.0
NED
773
747
635
753
578
544
667
compared to forecast
+28
+69
-2
+22
-76
-17
-20
+4
10.
Laura Molenaar
14.30
143
10.95
26.64
536
35.17
2.35.52
4674
+2.3
+3.2
+0.6
NED
936
544
592
742
660
575
625
compared to forecast
-23
-55
+35
-48
-60
+47
-90
-194
11.
Marta Miro
14.11
155
9.86
26.17
550
29.84
2.43.59
4649
+2.3
+3.2
+1.9
ESP
963
678
520
782
700
474
532
compared to forecast
+18
-140
-74
-6
-110
-57
-108
-477
12.
Tara van Schie
15.87
152
11.09
25.87
531
28.77
2.45.34
4395
+3.7
+2.6
+1.3
NED
730
644
601
809
645
453
513
compared to forecast
-9
-11
-18
-45
-72
-15
-79
-249
13.
Donja Karimlou
18.78
155
7.69
29.72
452
23.30
2.34.79
3387
+3.7
+3.2
+1.4
NED
411
678
379
502
433
350
634
compared to forecast
+411
+678
+379
+502
+433
+350
+634
+3387
14.
Christina Bárcena
14.35
158
8.86
DNS
(603)
(40.20)
(2.19.96)
DNF
+2.3
+3.1
ESP
929
712
455
0
859
671
824
compared to forecast
-75
-179
-246
-902
15.
Suzanne de Sevren Jaquet
14.91
152
DNS
(25.40)
(512)
(38.01)
(2.19.04)
DNF
+4.2
-0.6
+0.9
NED
854
644
0
850
592
629
837
compared to forecast
-70
-127
-633
16.
Oksana Kuzminok
DNS
(169)
(12.55)
(25.01)
(578)
(37.88)
(2.19.12)
DNS
-0.1
+2.4
UKR
0
842
698
886
783
627
835
compared to forecast
-1017
17.
Alexandra Princová
DNS
(164)
(11.19)
(26.52)
(536)
(36.05)
(2.24.6)
DNS
+0.6
+1.3
CZE
0
783
608
752
660
592
762
compared to forecast
-834
18.
Izabela Mikolajczyk
DNS
(164)
(10.44)
(25.84)
(571)
(33.28)
(2.30.56)
DNS
+0.6
+2.1
POL
0
783
558
811
762
539
686
compared to forecast
-856
19.
Karolina Kedzia
DNS
(167)
(10.77)
(26.76)
(569)
(35.91)
(2.31.31)
DNS
0.0
+0.1
POL
0
818
580
732
756
589
677
compared to forecast
-804