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Elite Women

24.02.2024 Pragelato - Sestriere ITA
Race information and calculation basis
2024 World Triathlon Winter Championships Pragelato - Sestriere

Datengrundlage: maximal zwölf Starts je Athlet:in, die zeitlich strikt vor 24.02.2024 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 5/100 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 10.0 % · Head-to-Head-Abdeckung 0.0 % · 0 Kalibrierungsrennen

Prediction comparison

Summary of prediction errors
Mean place error5.0
Correct bike groups0/0
No history1
Details
0 / 1 Sandra Mairhofer
ITA
+64 s
G0 / G2
 17:05
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: 1:23 / 100 m

Cycling

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

Running and total

Run: 17:05 (4:16 / km)
Historical basis: 4:16 / km
Best comparable pace: 4:16 / km
Trend: +0:00 / km
Comparable races: 2
Fallback calculation from other run distances
Ergebnis Lauf: 18:15 ()
Error: /
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: 17:05 (4:16 / km)
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 Aneta Grabmuller Soldati
CZE
+0 s
G0 / G3
 15:13
Show details
Prediction details: Aneta Grabmuller Soldati

Placement

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

Swimming

Prognoseabstand: +0 s
Time:
Pace: 1:22 / 100 m

Cycling

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

Running and total

Run: 15:13 (3:48 / km)
Historical basis: 3:48 / km
Best comparable pace: 3:48 / km
Trend: +0:00 / km
Comparable races: 1
Fallback calculation from other run distances
Ergebnis Lauf: 19:15 ()
Error: /
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: 15:13 (3:48 / km)
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 Julie Meinicke
NOR
+0 s
G0 / G4
Show details
Prediction details: Julie Meinicke

Placement

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

Swimming

Prognoseabstand: +0 s
Time:
Pace:

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: 19:38 ()
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 / 4 Stina Meinicke
NOR
+0 s
G0 / G6
Show details
Prediction details: Stina Meinicke

Placement

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

Swimming

Prognoseabstand: +0 s
Time:
Pace:

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 6 (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: 19:22 ()
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 / 5 Kristina Lapinova
SVK
+404 s
G0 / G4
 28:08
Show details
Prediction details: Kristina Lapinova

Placement

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

Swimming

Prognoseabstand: +404 s
Time:
Pace:

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: 28:08 (7:02 / km)
Historical basis: 7:02 / km
Best comparable pace: 7:02 / km
Trend: +0:00 / km
Comparable races: 1
Fallback calculation from other run distances
Ergebnis Lauf: 19:31 ()
Error: /
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: 28:08 (7:02 / km)
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 Bianca Morvillo
ITA
+221 s
G0 / G5
Show details
Prediction details: Bianca Morvillo

Placement

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

Swimming

Prognoseabstand: +221 s
Time:
Pace:

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 5 (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: 20:03 ()
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 / 7 Ine Skjellum
NOR
+0 s
G0 / G7
Show details
Prediction details: Ine Skjellum

Placement

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

Swimming

Prognoseabstand: +0 s
Time:
Pace:

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 7 (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: 19:19 ()
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 / 8 Margareta Bicanova
SVK
+58 s
G0 / G7
 14:39
Show details
Prediction details: Margareta Bicanova

Placement

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

Swimming

Prognoseabstand: +58 s
Time:
Pace: 1:21 / 100 m

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 7 (2 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h

Running and total

Run: 14:39 (3:40 / km)
Historical basis: 3:40 / km
Best comparable pace: 3:28 / km
Trend: −0:00 / km
Comparable races: 7
Fallback calculation from other run distances
Ergebnis Lauf: 18:52 ()
Error: /
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming: –
To the end of cycling (group time): –
Run: 14:39 (3:40 / km)
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 Lorena Erl
GER
+0 s
G0 / G8
Show details
Prediction details: Lorena Erl

Placement

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

Swimming

Prognoseabstand: +0 s
Time:
Pace:

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: 21:36 ()
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 / 10 Elisa Sordello
ITA
+0 s
G0 / G9
Show details
Prediction details: Elisa Sordello

Placement

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

Swimming

Prognoseabstand: +0 s
Time:
Pace:

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: 25:04 ()
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.