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Prediction comparison

35-39 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 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 error2.0
Correct bike groups0/0
No history0
Place
Prediction / result		 Athlete Swimming
Prediction / result		 Bike group
Prediction / result		 Run
Prediction / result		 Overall prediction Details
0 / 1 Katharina Feuchtner
AUT
+0 s
G0 / G1
Show details
Prediction details: Katharina Feuchtner

Placement

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

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: 19:40 ()
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 / 2 Christina Herbst
AUT
+291 s
G0 / G1
Show details
Prediction details: Christina Herbst

Placement

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

Swimming

Prognoseabstand: +291 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: 19:40 ()
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 / 3 Oya Gritskova
RUS
+1,707 s
G0 / G2
Show details
Prediction details: Oya Gritskova

Placement

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

Swimming

Prognoseabstand: +1,707 s
Time:
Pace:

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: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 23:19 ()
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.