Time behind leader Pack running Leg placement Time loss per leg
Time loss and error-free time Performance index Pack index Head to headLink to this page
On this page you have access to bonus content: you can see eight of the tables and graphs that are available in WinSplits Pro. There are two randomly selected modes shown for each event. The rest of the modes are greyed and not available in WinSplits Online.
The Pack Index Table shows pack running, both over the entire course and on each leg. Green cells show a runner being followed by others, while red cells show a runner who is following. The higher the value, the greater the following. Pull index and following index should be interpreted carefully at the leg level, especially in packs where different runners took the lead at different times. The only data used for calculating pull and following indices is information about punching times at each control. What happens in between is unknown. More informtaion about pull index and following index.
PlNameTimePull indexFollowing index12345678910111213141516171819F
Club(33)(35)(37)(38)(39)(41)(44)(46)(47)(48)(46)(65)(54)(67)(51)(56)(60)(62)(100)(F)
1Eliasson Lena13.3914.7%(7)26.4%(2)0%0%0%0%0%0%0%0%0%0%0%0%0%25%100%0%45%100%100%100%EL
SWE0%0%0%0%0%0%0%0%23%50%73%97%100%75%0%0%55%0%0%0%
2Ronning Sund Goril13.460.0%(22)12.9%(8)0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%RSG
NOR0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%23%54%77%92%96%
3Effeney Rachel13.510.0%(22)0.0%(25)0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%ER
AUS0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%
4Gross Julia13.5524.5%(2)12.7%(9)0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%100%100%100%86%62%GJ
SUI0%0%0%0%0%0%0%0%0%0%0%0%50%99%100%0%0%0%0%0%
5Bagger Hagner Stine14.0913.1%(10)9.1%(11)0%0%0%0%0%0%0%75%95%81%69%35%0%0%0%0%0%0%0%0%BHS
DEN0%0%0%0%0%0%99%25%0%0%0%0%0%0%0%0%0%0%0%0%
6Knapova Jana14.100.0%(22)0.0%(25)0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%KJ
CZE0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%
7Hill Tessa14.134.7%(19)6.5%(19)0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%17%100%100%HT
GBR0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%46%80%0%0%
8Narhi Anna14.2016.9%(4)37.0%(1)0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%51%62%81%100%100%NA
FIN0%0%0%0%0%0%0%100%100%100%100%100%76%50%81%47%0%0%0%0%
8Vinogradova Natalia14.209.2%(12)8.3%(12)0%0%0%0%0%0%0%0%0%50%100%85%0%0%0%0%0%0%0%0%VN
RUS0%0%0%0%0%0%0%69%100%50%0%0%0%0%0%0%0%0%0%0%
10Razaityte Gabija14.211.7%(21)7.1%(16)0%0%0%0%0%0%0%0%0%0%0%0%0%0%100%0%0%0%0%0%RG
LTU0%0%0%0%0%0%0%0%0%0%0%0%0%94%0%0%15%0%0%0%
11Guizzardi Michela14.3815.1%(6)7.0%(17)0%0%0%0%0%0%0%0%0%0%0%33%0%0%0%23%54%77%92%96%GM
ITA0%0%0%0%0%0%0%0%0%54%65%64%0%0%0%0%0%0%0%0%
12Arniece Liga14.530.0%(22)0.3%(24)0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%AL
LAT0%0%0%0%15%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%
13Rafols Ona14.5414.6%(8)7.7%(13)0%0%0%0%0%0%0%0%0%0%0%70%50%69%50%0%0%0%0%0%RO
ESP0%0%0%0%0%0%0%0%54%85%99%30%0%0%0%0%0%0%0%0%
14Gyurko Fanni14.572.4%(20)1.8%(23)0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%44%0%0%GF
HUN0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%33%0%0%
15Saeger Samantha15.018.0%(16)6.8%(18)0%0%0%0%0%0%0%0%0%0%20%100%0%0%0%0%15%0%0%0%SS
USA0%0%0%0%0%0%0%0%95%100%80%0%0%0%0%0%0%0%0%0%
16Elstner Elisa15.050.0%(22)0.0%(25)0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%EE
AUT0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%
17Van de Velde Liesbeth15.0712.7%(11)24.5%(3)0%0%0%0%0%0%0%0%0%0%0%0%50%99%100%0%0%0%0%0%VdVL
BEL0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%100%100%100%86%62%
18Alvarez Vera15.167.6%(17)7.4%(15)0%0%0%0%0%0%0%0%0%0%0%58%42%0%0%0%0%0%0%0%AV
POR0%0%0%0%0%0%0%0%46%65%85%39%0%0%0%0%0%0%0%0%
19Sukharevska Alona15.170.0%(22)0.0%(25)0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%SA
UKR0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%
19Rebane Kirti15.170.0%(22)0.0%(25)0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%RK
EST0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%
21O'Boyle Niamh15.2123.8%(3)3.4%(22)0%0%0%0%0%0%0%0%23%50%73%97%100%75%0%0%0%0%0%0%ON
IRL0%0%0%0%0%0%0%0%0%0%0%0%0%25%100%0%0%0%0%0%
21Liu Xiaoyu15.2137.0%(1)16.9%(5)0%0%0%0%0%0%0%100%100%100%100%100%76%50%81%47%0%0%0%0%LX
CHN0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%51%62%81%100%100%
23Knarston Greta15.380.0%(22)0.0%(25)0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%KG
NZL0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%
24Kano Naoko16.178.3%(15)9.2%(10)0%0%0%0%0%0%0%69%100%50%0%0%0%0%0%0%0%0%0%0%KN
JPN0%0%0%0%0%0%0%0%0%50%100%85%0%0%0%0%0%0%0%0%
25Udovic Metka16.219.1%(13)13.1%(7)0%0%0%0%0%0%99%25%0%0%0%0%0%0%0%0%0%0%0%0%UM
SLO0%0%0%0%0%0%0%75%95%81%69%35%0%0%0%0%0%0%0%0%
26Rabediuc Galina17.340.0%(22)5.5%(20)0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%RG
MDA0%0%0%0%0%0%0%0%0%0%0%0%0%69%50%0%0%0%0%0%
27Pope Sarah18.117.4%(18)7.6%(14)0%0%0%0%0%0%0%0%46%65%85%39%0%0%0%0%0%0%0%0%PS
RSA0%0%0%0%0%0%0%0%0%0%0%58%42%0%0%0%0%0%0%0%
28Wai Lan Iris Lui18.2014.3%(9)16.1%(6)0%0%0%0%0%0%0%0%54%85%99%30%0%0%0%0%46%80%0%0%WLIL
HKG0%0%0%0%0%0%0%0%0%0%0%70%50%35%0%0%0%17%100%100%
29Jovanovic Sladjana18.4516.0%(5)20.3%(4)0%0%0%0%15%0%0%0%95%100%80%0%0%94%0%0%55%0%0%0%JS
SRB0%0%0%0%0%0%0%0%0%0%20%100%0%0%100%0%45%100%100%100%
30Wu Szu-Ying19.288.8%(14)4.6%(21)0%0%0%0%0%0%0%0%0%54%65%64%0%0%0%0%0%33%0%0%WSY
TPE0%0%0%0%0%0%0%0%0%0%0%33%0%0%0%0%0%44%0%0%
Basset Isia0.0%(22)0.0%(25)0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%BI
FRA0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%