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U23 Women

01.09.2012 Aguilas ESP
Race information and calculation basis
2012 Aguilas ETU Triathlon U23 and Youth European Championships

Datengrundlage: maximal zwölf Starts je Athlet:in, die zeitlich strikt vor 01.09.2012 liegen. Neuere Leistungen und direkte Duelle werden mit einer Halbwertszeit von 300 Tagen stärker gewichtet.

Add missing course distances

The API does not provide every distance. Values are stored in metres for the race.

Prediction model used
Modell v15 Default values
Prediction quality 0/100 sehr niedrig
Show model parameters and data quality

Not yet sufficiently calibrated – conservative defaults are used.

Einzelabstand ≤ 4 s Gruppenspanne ≤ 14 s Gruppeneffekt 0.65 Max. Vorteil 2.2 km/h

Datenabdeckung 0.0 % · Head-to-Head-Abdeckung 0.0 % · 0 Kalibrierungsrennen

Prediction comparison

Summary of prediction errors
Mean place error17.5
Mean swim error98.9 s
Correct bike groups0/0
No history0
Details
0 / 1 Alexandra Cassan Ferrier
FRA
+126 s
+80 s
G0 / G1
Show details
Prediction details: Alexandra Cassan Ferrier

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 1
Deviation: -1

Swimming

Prognoseabstand: +126 s
Time:
Pace:
Ergebnisabstand: +80 s
Fehler: 46.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (19 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 35:27 ()
Error: /
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: –
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.
0 / 2 Alexandra Razarenova
ROC
+21 s
+57 s
G0 / G1
Show details
Prediction details: Alexandra Razarenova

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 2
Deviation: -2

Swimming

Prognoseabstand: +21 s
Time:
Pace:
Ergebnisabstand: +57 s
Fehler: -36.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (19 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 35:50 ()
Error: /
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: –
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.
0 / 3 Elena Danilova
RUS
+58 s
+86 s
G0 / G1
Show details
Prediction details: Elena Danilova

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 3
Deviation: -3

Swimming

Prognoseabstand: +58 s
Time:
Pace:
Ergebnisabstand: +86 s
Fehler: -28.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (19 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 36:10 ()
Error: /
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: –
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.
0 / 4 Arina Shulgina
KAZ
+85 s
 Bike DNF
Show details
Prediction details: Arina Shulgina

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 4
Deviation: -4

Swimming

Prognoseabstand: +85 s
Time:
Pace:

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Bike split not completed

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 36:10 ()
Error: /
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: –
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.
0 / 5 Non Stanford
GBR
+24 s
+44 s
G0 / G1
Show details
Prediction details: Non Stanford

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 5
Deviation: -5

Swimming

Prognoseabstand: +24 s
Time:
Pace:
Ergebnisabstand: +44 s
Fehler: -20.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (19 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 36:40 ()
Error: /
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: –
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.
0 / 6 Lois Rosindale
GBR
+63 s
+85 s
G0 / G1
Show details
Prediction details: Lois Rosindale

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 6
Deviation: -6

Swimming

Prognoseabstand: +63 s
Time:
Pace:
Ergebnisabstand: +85 s
Fehler: -22.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (19 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 36:47 ()
Error: /
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: –
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.
0 / 7 Petra Kurikova
CZE
+47 s
+82 s
G0 / G2
Show details
Prediction details: Petra Kurikova

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 7
Deviation: -7

Swimming

Prognoseabstand: +47 s
Time:
Pace:
Ergebnisabstand: +82 s
Fehler: -35.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 2 (5 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 36:55 ()
Error: /
Overall prediction:
Data basis: 11 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: –
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.
0 / 8 Sara Vilic
AUT
+25 s
+5 s
G0 / G1
Show details
Prediction details: Sara Vilic

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 8
Deviation: -8

Swimming

Prognoseabstand: +25 s
Time:
Pace:
Ergebnisabstand: +5 s
Fehler: 20.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (19 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 37:17 ()
Error: /
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: –
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.
0 / 9 Elena Maria Petrini
ITA
+50 s
+76 s
G0 / G1
Show details
Prediction details: Elena Maria Petrini

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 9
Deviation: -9

Swimming

Prognoseabstand: +50 s
Time:
Pace:
Ergebnisabstand: +76 s
Fehler: -26.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (19 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 37:23 ()
Error: /
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: –
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.
0 / 10 Kseniia Levkovska
UKR
+41 s
+81 s
G0 / G1
Show details
Prediction details: Kseniia Levkovska

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 10
Deviation: -10

Swimming

Prognoseabstand: +41 s
Time:
Pace:
Ergebnisabstand: +81 s
Fehler: -40.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (19 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 37:23 ()
Error: /
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: –
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.
0 / 11 Mariya Shorets
RUS
+39 s
+79 s
G0 / G1
Show details
Prediction details: Mariya Shorets

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 11
Deviation: -11

Swimming

Prognoseabstand: +39 s
Time:
Pace:
Ergebnisabstand: +79 s
Fehler: -40.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (19 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 37:30 ()
Error: /
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: –
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.
0 / 12 Sarissa De Vries
NED
+24 s
+82 s
G0 / G1
Show details
Prediction details: Sarissa De Vries

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 12
Deviation: -12

Swimming

Prognoseabstand: +24 s
Time:
Pace:
Ergebnisabstand: +82 s
Fehler: -58.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (19 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 37:29 ()
Error: /
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: –
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.
0 / 13 Malgorzata Otworowska
POL
+1,180 s
+63 s
G0 / G1
Show details
Prediction details: Malgorzata Otworowska

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 13
Deviation: -13

Swimming

Prognoseabstand: +1,180 s
Time:
Pace:
Ergebnisabstand: +63 s
Fehler: 1,117.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (19 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 38:05 ()
Error: /
Overall prediction:
Data basis: 3 Races · Confidence 0.60
Swimming: –
To the end of cycling (group time): –
Run: –
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.
0 / 14 Sofie Hooghe
BEL
+40 s
+82 s
G0 / G1
Show details
Prediction details: Sofie Hooghe

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 14
Deviation: -14

Swimming

Prognoseabstand: +40 s
Time:
Pace:
Ergebnisabstand: +82 s
Fehler: -42.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (19 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 38:32 ()
Error: /
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: –
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.
0 / 15 Eszter Dudás
HUN
+67 s
+84 s
G0 / G2
Show details
Prediction details: Eszter Dudás

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 15
Deviation: -15

Swimming

Prognoseabstand: +67 s
Time:
Pace:
Ergebnisabstand: +84 s
Fehler: -17.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 2 (5 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 38:36 ()
Error: /
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: –
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.
0 / 16 Liubov Polyanskaya
RUS
+29 s
+76 s
G0 / G1
Show details
Prediction details: Liubov Polyanskaya

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 16
Deviation: -16

Swimming

Prognoseabstand: +29 s
Time:
Pace:
Ergebnisabstand: +76 s
Fehler: -47.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (19 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 38:52 ()
Error: /
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: –
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.
0 / 17 Carolina Routier
ESP
+2 s
+0 s
G0 / G2
Show details
Prediction details: Carolina Routier

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 17
Deviation: -17

Swimming

Prognoseabstand: +2 s
Time:
Pace:
Ergebnisabstand: +0 s
Fehler: 2.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 2 (5 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 39:06 ()
Error: /
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: –
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.
0 / 18 Anna Godoy Contreras
ESP
+19 s
+42 s
G0 / G2
Show details
Prediction details: Anna Godoy Contreras

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 18
Deviation: -18

Swimming

Prognoseabstand: +19 s
Time:
Pace:
Ergebnisabstand: +42 s
Fehler: -23.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 2 (5 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 39:06 ()
Error: /
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: –
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.
0 / 19 Anastasiya Chernenko
UKR
+85 s
+84 s
G0 / G1
Show details
Prediction details: Anastasiya Chernenko

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 19
Deviation: -19

Swimming

Prognoseabstand: +85 s
Time:
Pace:
Ergebnisabstand: +84 s
Fehler: 1.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (19 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 39:43 ()
Error: /
Overall prediction:
Data basis: 9 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: –
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.
0 / 20 Anastasia Abrosimova
RUS
+993 s
+7 s
G0 / G2
Show details
Prediction details: Anastasia Abrosimova

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 20
Deviation: -20

Swimming

Prognoseabstand: +993 s
Time:
Pace:
Ergebnisabstand: +7 s
Fehler: 986.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 2 (5 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 40:05 ()
Error: /
Overall prediction:
Data basis: 5 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: –
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.
0 / 21 María Ortega De Miguel
ESP
+76 s
+81 s
G0 / G1
Show details
Prediction details: María Ortega De Miguel

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 21
Deviation: -21

Swimming

Prognoseabstand: +76 s
Time:
Pace:
Ergebnisabstand: +81 s
Fehler: -5.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (19 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 40:28 ()
Error: /
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: –
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.
0 / 22 Giorgia Priarone
ITA
+89 s
+180 s
G0 / G3
Show details
Prediction details: Giorgia Priarone

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 22
Deviation: -22

Swimming

Prognoseabstand: +89 s
Time:
Pace:
Ergebnisabstand: +180 s
Fehler: -91.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 3 (5 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 38:38 ()
Error: /
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: –
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.
0 / 23 Monika Orazem
SLO
+9 s
+44 s
G0 / G1
Show details
Prediction details: Monika Orazem

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 23
Deviation: -23

Swimming

Prognoseabstand: +9 s
Time:
Pace:
Ergebnisabstand: +44 s
Fehler: -35.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (19 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 40:58 ()
Error: /
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: –
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.
0 / 24 Anais Verguet-Moniz
POR
+36 s
+80 s
G0 / G1
Show details
Prediction details: Anais Verguet-Moniz

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 24
Deviation: -24

Swimming

Prognoseabstand: +36 s
Time:
Pace:
Ergebnisabstand: +80 s
Fehler: -44.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (19 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 41:19 ()
Error: /
Overall prediction:
Data basis: 9 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: –
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.
0 / 25 Line Thams
DEN
+33 s
+83 s
G0 / G1
Show details
Prediction details: Line Thams

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 25
Deviation: -25

Swimming

Prognoseabstand: +33 s
Time:
Pace:
Ergebnisabstand: +83 s
Fehler: -50.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (19 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 41:24 ()
Error: /
Overall prediction:
Data basis: 7 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: –
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.
0 / 26 Celine Schaerer
SUI
+20 s
+3 s
G0 / G1
Show details
Prediction details: Celine Schaerer

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 26
Deviation: -26

Swimming

Prognoseabstand: +20 s
Time:
Pace:
Ergebnisabstand: +3 s
Fehler: 17.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (19 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 42:08 ()
Error: /
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: –
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.
0 / 27 Miriam Casillas García
ESP
+133 s
+183 s
G0 / G3
Show details
Prediction details: Miriam Casillas García

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 27
Deviation: -27

Swimming

Prognoseabstand: +133 s
Time:
Pace:
Ergebnisabstand: +183 s
Fehler: -50.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 3 (5 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 40:42 ()
Error: /
Overall prediction:
Data basis: 8 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: –
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.
0 / 28 Tamara Gomez Garrido
ESP
+65 s
+91 s
G0 / G4
Show details
Prediction details: Tamara Gomez Garrido

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 28
Deviation: -28

Swimming

Prognoseabstand: +65 s
Time:
Pace:
Ergebnisabstand: +91 s
Fehler: -26.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 4 (2 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 40:14 ()
Error: /
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: –
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.
0 / 29 Magdalena Mielnik
POL
+131 s
+87 s
G0 / G3
Show details
Prediction details: Magdalena Mielnik

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 29
Deviation: -29

Swimming

Prognoseabstand: +131 s
Time:
Pace:
Ergebnisabstand: +87 s
Fehler: 44.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 3 (5 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 41:38 ()
Error: /
Overall prediction:
Data basis: 7 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: –
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.
0 / 30 Aneta Grabmuller Soldati
CZE
+33 s
+78 s
G0 / G3
Show details
Prediction details: Aneta Grabmuller Soldati

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 30
Deviation: -30

Swimming

Prognoseabstand: +33 s
Time:
Pace:
Ergebnisabstand: +78 s
Fehler: -45.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 3 (5 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 42:55 ()
Error: /
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: –
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.
0 / 31 Fanny Beisaron
ISR
+77 s
+94 s
G0 / G3
Show details
Prediction details: Fanny Beisaron

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 31
Deviation: -31

Swimming

Prognoseabstand: +77 s
Time:
Pace:
Ergebnisabstand: +94 s
Fehler: -17.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 3 (5 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 43:14 ()
Error: /
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: –
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.
0 / 32 Tanelle Berard
USA
+29 s
+84 s
G0 / G4
Show details
Prediction details: Tanelle Berard

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 32
Deviation: -32

Swimming

Prognoseabstand: +29 s
Time:
Pace:
Ergebnisabstand: +84 s
Fehler: -55.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 4 (2 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 43:46 ()
Error: /
Overall prediction:
Data basis: 4 Races · Confidence 0.80
Swimming: –
To the end of cycling (group time): –
Run: –
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.
0 / 33 Kairi Schmidt
EST
+12 s
+85 s
G0 / G5
Show details
Prediction details: Kairi Schmidt

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 33
Deviation: -33

Swimming

Prognoseabstand: +12 s
Time:
Pace:
Ergebnisabstand: +85 s
Fehler: -73.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 5 (2 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 47:31 ()
Error: /
Overall prediction:
Data basis: 11 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: –
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.
0 / 34 Ece Calp
TUR
+70 s
+177 s
G0 / G5
Show details
Prediction details: Ece Calp

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 34
Deviation: -34

Swimming

Prognoseabstand: +70 s
Time:
Pace:
Ergebnisabstand: +177 s
Fehler: -107.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 5 (2 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 50:48 ()
Error: /
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: –
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.