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Performance Workspace
Predicition
Prediction comparison

55-59 Female AG

10.02.2019 Asiago ITA
Race information and calculation basis
2019 Asiago ITU Winter Triathlon World Championships

Datengrundlage: maximal zwölf Starts je Athlet:in, die zeitlich strikt vor 10.02.2019 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 error3.8
Correct bike groups0/0
No history1
Details
0 / 1 Sabine Greipel
AUT
+41 s
G0 / G1
Show details
Prediction details: Sabine Greipel

Placement

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

Swimming

Prognoseabstand: +41 s
Time:
Pace:

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –

Result: Group 1 (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: 21:11 ()
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 Giuliana Marten Perolino
ITA
+0 s
G0 / G1
Show details
Prediction details: Giuliana Marten Perolino

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 2
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 1 (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: 21:17 ()
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 / 3 Virna Stavla
ITA
+358 s
G0 / G2
Show details
Prediction details: Virna Stavla

Placement

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

Swimming

Prognoseabstand: +358 s
Time:
Pace:

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: 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 / 4 Angela Boczek
GER
+125 s
G0 / G2
Show details
Prediction details: Angela Boczek

Placement

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

Swimming

Prognoseabstand: +125 s
Time:
Pace:

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: 23:35 ()
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 / 5 Heike Steininger
GER
+614 s
G0 / G3
Show details
Prediction details: Heike Steininger

Placement

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

Swimming

Prognoseabstand: +614 s
Time:
Pace:

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: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances

Ergebnis Lauf: 24:45 ()
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 Cinzia Lovo
ITA
+322 s
G0 / G4
Show details
Prediction details: Cinzia Lovo

Placement

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

Swimming

Prognoseabstand: +322 s
Time:
Pace:

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: 26:41 ()
Error: /
Overall prediction:
Data basis: 1 Races · Confidence 0.20
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.