Zum Inhalt springen
Performance Workspace
Predicition
Live data
Prediction comparison

U23 Women

25.08.2023 Menen BEL
Race information and calculation basis
2023 Europe Triathlon Aquathlon Championships Menen

Datengrundlage: maximal zwölf Starts je Athlet:in, die zeitlich strikt vor 25.08.2023 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 40/100 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 80.0 % · Head-to-Head-Abdeckung 80.0 % · 0 Kalibrierungsrennen

Prediction comparison

Summary of prediction errors
Mean place error3.0
Mean swim error34.6 s
Correct bike groups0/0
No history0
Details
0 / 1 Giada Stegani
ITA
+22 s
+0 s
 Bike DNF 17:50
18:28
Show details
Prediction details: Giada Stegani

Placement

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

Swimming

Prognoseabstand: +22 s
Time: 14:00
Pace: 1:24 / 100 m
Ergebnisabstand: +0 s
Fehler: 22.3 s
H2H: 1 Gegner:innen, 2 Duelle, Korrektur 0.00 %, Sicherheit 12 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Bike split not completed

Running and total

Run: 17:50 (3:34 / km)
Historical basis: 3:34 / km
Best comparable pace: 3:34 / km
Trend: +0:00 / km
Comparable races: 3
H2H: 1 Gegner:innen, 2 Duelle, Korrektur 0.00 %, Sicherheit 12 %
Ergebnis Lauf: 18:28 (3:42 / km)
Error: −0:38 / −0:08 / km
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming: 14:00 (1:24 / 100 m)
To the end of cycling (group time): –
Run: 17:50 (3:34 / km)
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 Isabella Hayes
GBR
+3 s
+3 s
 Bike DNF 19:39
19:05
Show details
Prediction details: Isabella Hayes

Placement

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

Swimming

Prognoseabstand: +3 s
Time: 13:41
Pace: 1:22 / 100 m
Ergebnisabstand: +3 s
Fehler: 0.0 s

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Bike split not completed

Running and total

Run: 19:39 (3:56 / km)
Historical basis: 3:56 / km
Best comparable pace: 3:56 / km
Trend: +0:00 / km
Comparable races: 1
Ergebnis Lauf: 19:05 (3:49 / km)
Error: +0:34 / +0:07 / km
Overall prediction:
Data basis: 5 Races · Confidence 1.00
Swimming: 13:41 (1:22 / 100 m)
To the end of cycling (group time): –
Run: 19:39 (3:56 / km)
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 Silke De Wolde
NED
+67 s
+35 s
 Bike DNF 18:25
19:06
Show details
Prediction details: Silke De Wolde

Placement

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

Swimming

Prognoseabstand: +67 s
Time: 14:45
Pace: 1:29 / 100 m
Ergebnisabstand: +35 s
Fehler: 31.9 s
H2H: 1 Gegner:innen, 2 Duelle, Korrektur 0.00 %, Sicherheit 12 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Bike split not completed

Running and total

Run: 18:25 (3:41 / km)
Historical basis: 3:41 / km
Best comparable pace: 3:34 / km
Trend: +0:00 / km
Comparable races: 5
H2H: 1 Gegner:innen, 2 Duelle, Korrektur 0.00 %, Sicherheit 12 %
Ergebnis Lauf: 19:06 (3:49 / km)
Error: −0:41 / −0:08 / km
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming: 14:45 (1:29 / 100 m)
To the end of cycling (group time): –
Run: 18:25 (3:41 / km)
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 Maja Wąsik
POL
+63 s
+159 s
 Bike DNF 18:25
18:19
Show details
Prediction details: Maja Wąsik

Placement

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

Swimming

Prognoseabstand: +63 s
Time: 14:41
Pace: 1:28 / 100 m
Ergebnisabstand: +159 s
Fehler: -96.4 s
H2H: 1 Gegner:innen, 1 Duelle, Korrektur -1.08 %, Sicherheit 5 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Bike split not completed

Running and total

Run: 18:25 (3:41 / km)
Historical basis: 3:43 / km
Best comparable pace: 3:35 / km
Trend: +0:00 / km
Comparable races: 2
H2H: 1 Gegner:innen, 2 Duelle, Korrektur -0.81 %, Sicherheit 6 %
Ergebnis Lauf: 18:19 (3:40 / km)
Error: +0:06 / +0:01 / km
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming: 14:41 (1:28 / 100 m)
To the end of cycling (group time): –
Run: 18:25 (3:41 / km)
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 Merel Veltman
NED
+21 s
+44 s
 Bike DNF 20:36
20:27
Show details
Prediction details: Merel Veltman

Placement

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

Swimming

Prognoseabstand: +21 s
Time: 13:59
Pace: 1:24 / 100 m
Ergebnisabstand: +44 s
Fehler: -22.6 s
H2H: 1 Gegner:innen, 1 Duelle, Korrektur 1.09 %, Sicherheit 5 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Bike split not completed

Running and total

Run: 20:36 (4:07 / km)
Historical basis: 4:05 / km
Best comparable pace: 4:05 / km
Trend: +0:00 / km
Comparable races: 2
H2H: 1 Gegner:innen, 2 Duelle, Korrektur 0.81 %, Sicherheit 6 %
Ergebnis Lauf: 20:27 (4:05 / km)
Error: +0:09 / +0:02 / km
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming: 13:59 (1:24 / 100 m)
To the end of cycling (group time): –
Run: 20:36 (4:07 / km)
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.