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Predicition
Prediction comparison

45-49 Female AG

30.04.2019 Pontevedra ESP
Race information and calculation basis
2019 Pontevedra ITU Cross Triathlon World Championships

Datengrundlage: maximal zwölf Starts je Athlet:in, die zeitlich strikt vor 30.04.2019 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 error6.5
Mean swim error196.7 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 Aida Garcia Lopez
ESP
+0 s
+192 s
G0 / G1
Show details
Prediction details: Aida Garcia Lopez

Placement

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

Swimming

Prognoseabstand: +0 s
Time:
Pace:
Ergebnisabstand: +192 s
Fehler: -192.0 s

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: 30:57 ()
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 Maria Fernandez Lores
ESP
+0 s
+143 s
G0 / G2
Show details
Prediction details: Maria Fernandez Lores

Placement

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

Swimming

Prognoseabstand: +0 s
Time:
Pace:
Ergebnisabstand: +143 s
Fehler: -143.0 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: 32:42 ()
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 / 3 Lise Sohl Jeppesen
DEN
+0 s
+75 s
G0 / G3
Show details
Prediction details: Lise Sohl Jeppesen

Placement

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

Swimming

Prognoseabstand: +0 s
Time:
Pace:
Ergebnisabstand: +75 s
Fehler: -75.0 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: 38:16 ()
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 / 4 Teresa Pons Munill
ESP
+155 s
+251 s
G0 / G4
Show details
Prediction details: Teresa Pons Munill

Placement

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

Swimming

Prognoseabstand: +155 s
Time:
Pace:
Ergebnisabstand: +251 s
Fehler: -96.0 s

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: 34:59 ()
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 / 5 Cathy Atkinson
GBR
+200 s
+147 s
G0 / G5
Show details
Prediction details: Cathy Atkinson

Placement

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

Swimming

Prognoseabstand: +200 s
Time:
Pace:
Ergebnisabstand: +147 s
Fehler: 53.0 s

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: 36:18 ()
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.
0 / 6 Maria Jose Garcia Alvarez
ESP
+0 s
+0 s
G0 / G6
Show details
Prediction details: Maria Jose Garcia Alvarez

Placement

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

Swimming

Prognoseabstand: +0 s
Time:
Pace:
Ergebnisabstand: +0 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 6 (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: 35:33 ()
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.
0 / 7 Beatríz Molina Garcia
ESP
+257 s
+284 s
G0 / G6
Show details
Prediction details: Beatríz Molina Garcia

Placement

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

Swimming

Prognoseabstand: +257 s
Time:
Pace:
Ergebnisabstand: +284 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 6 (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: 37:52 ()
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.
0 / 8 Renell Brennan
GBR
+311 s
+341 s
G0 / G7
Show details
Prediction details: Renell Brennan

Placement

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

Swimming

Prognoseabstand: +311 s
Time:
Pace:
Ergebnisabstand: +341 s
Fehler: -30.0 s

Cycling

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

Result: Group 7 (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: 36:24 ()
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 / 9 Emmanuelle Massonnat
FRA
+361 s
+510 s
G0 / G9
Show details
Prediction details: Emmanuelle Massonnat

Placement

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

Swimming

Prognoseabstand: +361 s
Time:
Pace:
Ergebnisabstand: +510 s
Fehler: -149.0 s

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: 37:39 ()
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.
0 / 10 Melanie Rodrigue
AUS
+88 s
+206 s
G0 / G8
Show details
Prediction details: Melanie Rodrigue

Placement

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

Swimming

Prognoseabstand: +88 s
Time:
Pace:
Ergebnisabstand: +206 s
Fehler: -118.0 s

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: 42:10 ()
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.
0 / 11 Severine Guerif
FRA
+0 s
+945 s
G0 / G10
Show details
Prediction details: Severine Guerif

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 11
Deviation: -11

Swimming

Prognoseabstand: +0 s
Time:
Pace:
Ergebnisabstand: +945 s
Fehler: -945.0 s

Cycling

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

Result: Group 10 (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: 32:40 ()
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 / 12 Miharu Shinohara
JPN
+261 s
+793 s
G0 / G11
Show details
Prediction details: Miharu Shinohara

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 12
Deviation: -12

Swimming

Prognoseabstand: +261 s
Time:
Pace:
Ergebnisabstand: +793 s
Fehler: -532.0 s

Cycling

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

Result: Group 11 (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: 40:23 ()
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.