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Prediction comparison

Elite Women

04.03.2018 Valparaiso CHI
Race information and calculation basis
2018 Valparaiso CAMTRI Sprint Triathlon American Cup

Datengrundlage: maximal zwölf Starts je Athlet:in, die zeitlich strikt vor 04.03.2018 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 error3.0
Mean swim error26.4 s
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 Paula Jara
ECU
+81 s
+42 s
G0 / G1
Show details
Prediction details: Paula Jara

Placement

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

Swimming

Prognoseabstand: +81 s
Time:
Pace:
Ergebnisabstand: +42 s
Fehler: 39.0 s

Cycling

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

Result: Group 1 (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: 18:13 ()
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 Catalina Salazar
CHI
+63 s
+14 s
G0 / G1
Show details
Prediction details: Catalina Salazar

Placement

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

Swimming

Prognoseabstand: +63 s
Time:
Pace:
Ergebnisabstand: +14 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 1 (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: 18:25 ()
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 Valentina Carvallo
CHI
+79 s
+62 s
G0 / G2
Show details
Prediction details: Valentina Carvallo

Placement

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

Swimming

Prognoseabstand: +79 s
Time:
Pace: 1:22 / 100 m
Ergebnisabstand: +62 s
Fehler: 17.0 s

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: 17:39 ()
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 Macarena Salazar
CHI
+27 s
+0 s
G0 / G1
Show details
Prediction details: Macarena Salazar

Placement

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

Swimming

Prognoseabstand: +27 s
Time:
Pace:
Ergebnisabstand: +0 s
Fehler: 27.0 s

Cycling

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

Result: Group 1 (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: 20:22 ()
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 / 5 Maria Inti Guzman
ARG
+68 s
+68 s
G0 / G3
Show details
Prediction details: Maria Inti Guzman

Placement

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

Swimming

Prognoseabstand: +68 s
Time:
Pace:
Ergebnisabstand: +68 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 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: 18:37 ()
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.