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Elite Women

22.09.2022 Bilbao ESP
Race information and calculation basis
2022 Europe Triathlon Cross Championships Bilbao - Bizkaia

Datengrundlage: maximal zwölf Starts je Athlet:in, die zeitlich strikt vor 22.09.2022 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 43.8 % · 0 Kalibrierungsrennen

Prediction comparison

Summary of prediction errors
Mean place error8.1
Mean swim error54.2 s
Correct bike groups0/0
No history1
Details
0 / 1 Sandra Mairhofer
ITA
+64 s
+85 s
G0 / G1
Show details
Prediction details: Sandra Mairhofer

Placement

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

Swimming

Prognoseabstand: +64 s
Time:
Pace: 1:32 / 100 m
Ergebnisabstand: +85 s
Fehler: -21.0 s
H2H: 6 Gegner:innen, 6 Duelle, Korrektur 0.00 %, Sicherheit 19 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (1 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: 38:23 ()
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 / 2 Margareta Bicanova
SVK
+56 s
+0 s
G0 / G2
Show details
Prediction details: Margareta Bicanova

Placement

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

Swimming

Prognoseabstand: +56 s
Time:
Pace: 1:23 / 100 m
Ergebnisabstand: +0 s
Fehler: 56.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 2 (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: 38:03 ()
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 Marta Borbon Llorente
ESP
+0 s
+42 s
G0 / G2
Show details
Prediction details: Marta Borbon Llorente

Placement

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

Swimming

Prognoseabstand: +0 s
Time:
Pace:
Ergebnisabstand: +42 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 2 (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: 38:16 ()
Error: /
Overall prediction:
Data basis: 2 Races · Confidence 0.40
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 Anna Zehnder
SUI
+0 s
+90 s
G0 / G3
Show details
Prediction details: Anna Zehnder

Placement

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

Swimming

Prognoseabstand: +0 s
Time:
Pace:
Ergebnisabstand: +90 s
Fehler: -90.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 3 (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: 38:33 ()
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 / 5 Marta Menditto
ITA
+100 s
+88 s
G0 / G3
Show details
Prediction details: Marta Menditto

Placement

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

Swimming

Prognoseabstand: +100 s
Time:
Pace: 1:32 / 100 m
Ergebnisabstand: +88 s
Fehler: 12.0 s
H2H: 6 Gegner:innen, 10 Duelle, Korrektur 0.00 %, Sicherheit 32 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 3 (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: 40:10 ()
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 / 6 Morgane Riou
FRA
+203 s
+197 s
G0 / G5
Show details
Prediction details: Morgane Riou

Placement

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

Swimming

Prognoseabstand: +203 s
Time:
Pace:
Ergebnisabstand: +197 s
Fehler: 6.0 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: 39:32 ()
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 / 7 Lydia Zacikova
SVK
+63 s
+39 s
G0 / G4
Show details
Prediction details: Lydia Zacikova

Placement

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

Swimming

Prognoseabstand: +63 s
Time:
Pace: 1:28 / 100 m
Ergebnisabstand: +39 s
Fehler: 24.0 s
H2H: 6 Gegner:innen, 10 Duelle, Korrektur 0.00 %, Sicherheit 32 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 4 (1 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: 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 / 8 Marina Muñoz Hernando
ESP
+68 s
+84 s
G0 / G5
Show details
Prediction details: Marina Muñoz Hernando

Placement

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

Swimming

Prognoseabstand: +68 s
Time:
Pace:
Ergebnisabstand: +84 s
Fehler: -16.0 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: 41:32 ()
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 / 9 Romy Spoelder
NED
+107 s
+85 s
G0 / G7
Show details
Prediction details: Romy Spoelder

Placement

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

Swimming

Prognoseabstand: +107 s
Time:
Pace: 1:31 / 100 m
Ergebnisabstand: +85 s
Fehler: 22.0 s
H2H: 6 Gegner:innen, 10 Duelle, Korrektur 0.00 %, Sicherheit 32 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 7 (1 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: 40:17 ()
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 / 10 Ségolène Leberon
FRA
+195 s
+201 s
G0 / G6
Show details
Prediction details: Ségolène Leberon

Placement

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

Swimming

Prognoseabstand: +195 s
Time:
Pace: 1:42 / 100 m
Ergebnisabstand: +201 s
Fehler: -6.0 s
H2H: 6 Gegner:innen, 6 Duelle, Korrektur 0.00 %, Sicherheit 19 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 6 (3 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: 43:08 ()
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 / 11 Saleta Castro
ESP
+129 s
+91 s
G0 / G6
Show details
Prediction details: Saleta Castro

Placement

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

Swimming

Prognoseabstand: +129 s
Time:
Pace:
Ergebnisabstand: +91 s
Fehler: 38.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 6 (3 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: 46:28 ()
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 / 12 Stepanka Bisova
CZE
+314 s
+200 s
G0 / G6
Show details
Prediction details: Stepanka Bisova

Placement

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

Swimming

Prognoseabstand: +314 s
Time:
Pace: 1:54 / 100 m
Ergebnisabstand: +200 s
Fehler: 114.0 s
H2H: 6 Gegner:innen, 10 Duelle, Korrektur 0.00 %, Sicherheit 32 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 6 (3 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: 47:20 ()
Error: /
Overall prediction:
Data basis: 10 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 Pauline Vie
POR
+240 s
+191 s
G0 / G8
Show details
Prediction details: Pauline Vie

Placement

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

Swimming

Prognoseabstand: +240 s
Time:
Pace:
Ergebnisabstand: +191 s
Fehler: 49.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 8 (1 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: 46:00 ()
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 / 14 Willemijn Fuite
NED
+187 s
+89 s
G0 / G9
Show details
Prediction details: Willemijn Fuite

Placement

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

Swimming

Prognoseabstand: +187 s
Time:
Pace: 1:41 / 100 m
Ergebnisabstand: +89 s
Fehler: 98.0 s
H2H: 6 Gegner:innen, 10 Duelle, Korrektur 0.00 %, Sicherheit 32 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 9 (1 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: 44:53 ()
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 Andrea Trigo Albarran
ESP
+0 s
+85 s
G0 / G10
Show details
Prediction details: Andrea Trigo Albarran

Placement

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

Swimming

Prognoseabstand: +0 s
Time:
Pace:
Ergebnisabstand: +85 s
Fehler: 0.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 10 (1 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: 51:12 ()
Error: /
Overall prediction:
Data basis: 0 Races · Confidence 0.00
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 Constance Dusser
FRA
+0 s
+219 s
G0 / G11
Show details
Prediction details: Constance Dusser

Placement

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

Swimming

Prognoseabstand: +0 s
Time:
Pace:
Ergebnisabstand: +219 s
Fehler: -219.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 11 (1 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: 52:58 ()
Error: /
Overall prediction:
Data basis: 2 Races · Confidence 0.40
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.