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Performance Workspace
Predicition
Prediction comparison

50-54 Female AG

09.02.2020 Asiago ITA
Race information and calculation basis
2020 Asiago ITU Winter Triathlon World Championships

Datengrundlage: maximal zwölf Starts je Athlet:in, die zeitlich strikt vor 09.02.2020 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 v14 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 error3.6
Correct bike groups0/0
No history3
Place
Prediction / result
Athlete Swimming
Prediction / result
Bike group
Prediction / result
Run
Prediction / result
Overall prediction Details
0 / 1 Sarka Grabmullerova
CZE
+235 s
G0 / G1
Show details
Prediction details: Sarka Grabmullerova

Placement

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

Swimming

Prognoseabstand: +235 s
Time:
Pace:

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: 17:52 ()
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 / 2 Claudia Bregulla-Linke
GER
+320 s
G0 / G2
Show details
Prediction details: Claudia Bregulla-Linke

Placement

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

Swimming

Prognoseabstand: +320 s
Time:
Pace:

Cycling

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

Result: Group 2 (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: 22:01 ()
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 Yoshiko Arai
JPN
+0 s
G0 / G2
Show details
Prediction details: Yoshiko Arai

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 3
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 2 (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: 20:01 ()
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 / 4 Beate Pelani
GER
+0 s
G0 / G2
Show details
Prediction details: Beate Pelani

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 2 (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: 20:28 ()
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 / 5 Roberta Peron
ITA
+0 s
G0 / G3
Show details
Prediction details: Roberta Peron

Placement

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

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 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: 23:45 ()
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.
0 / 6 Laura Sala
ITA
+166 s
G0 / G6
Show details
Prediction details: Laura Sala

Placement

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

Swimming

Prognoseabstand: +166 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: 31:22 ()
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 / 7 Simona Scarrone
ITA
+0 s
G0 / G4
Show details
Prediction details: Simona Scarrone

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 7
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 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: 22:03 ()
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 / 8 Daniela Zanga
ITA
+0 s
G0 / G5
Show details
Prediction details: Daniela Zanga

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 8
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 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: 27:43 ()
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.