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Race prediction

Junior Women

22.08.2026 LTU
Race information and calculation basis
2026 Europe Triathlon Junior Cup Moletai

Datengrundlage: maximal zwölf Starts je Athlet:in, die zeitlich strikt vor 22.08.2026 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 calibrated
Prediction quality 17/100 sehr niedrig
Show model parameters and data quality

Kalibriert mit 22 früheren Rennen und 122 Athlet:innen. Paarweise Gruppengüte: 5.9 %.

Trainingsdaten ausschließlich vor 18.07.2026.

Einzelabstand ≤ 3 s Gruppenspanne ≤ 10 s Gruppeneffekt 0.45 Max. Vorteil 1.6 km/h

Datenabdeckung 0.0 % · Head-to-Head-Abdeckung 66.7 % · 22 Kalibrierungsrennen

Rank Athlete Swimming Bike group Run Total Details
0 Maja Michna
POL
 +89 s Gruppe 0
0 Personen
Show details
Prediction details: Maja Michna

Placement

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

Swimming

Prognoseabstand: +89 s
Time:
Pace: 1:28 / 100 m
H2H: 7 Gegner:innen, 7 Duelle, Korrektur 0.93 %, Sicherheit 23 %

Cycling

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

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
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 Lieia Bezlepkina
UKR
 +32 s Gruppe 0
0 Personen
Show details
Prediction details: Lieia Bezlepkina

Placement

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

Swimming

Prognoseabstand: +32 s
Time:
Pace: 1:39 / 100 m
H2H: 2 Gegner:innen, 2 Duelle, Korrektur 0.61 %, Sicherheit 3 %

Cycling

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

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
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 Meja Sapsai
LTU
 – –
Show details
Prediction details: Meja Sapsai

Placement

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

Swimming

Prognoseabstand: +0 s
Time:
Pace:

Cycling

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

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
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 Smilte Zasetyte
LTU
 – –
Show details
Prediction details: Smilte Zasetyte

Placement

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

Swimming

Prognoseabstand: +0 s
Time:
Pace:

Cycling

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

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
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 Emilija Vasiljevaite
LTU
 – –
Show details
Prediction details: Emilija Vasiljevaite

Placement

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

Swimming

Prognoseabstand: +0 s
Time:
Pace:

Cycling

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

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
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 Emily Kaseväli
EST
 – –
Show details
Prediction details: Emily Kaseväli

Placement

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

Swimming

Prognoseabstand: +0 s
Time:
Pace:

Cycling

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

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
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 Emma Rohtla
EST
 – –
Show details
Prediction details: Emma Rohtla

Placement

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

Swimming

Prognoseabstand: +0 s
Time:
Pace:

Cycling

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

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
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 Austeja Bakanovaite
LTU
 – –
Show details
Prediction details: Austeja Bakanovaite

Placement

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

Swimming

Prognoseabstand: +0 s
Time:
Pace:

Cycling

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

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
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 Liepa Tamutyte
LTU
 – –
Show details
Prediction details: Liepa Tamutyte

Placement

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

Swimming

Prognoseabstand: +0 s
Time:
Pace:

Cycling

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

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
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 Bette Schwarz
GER
 +45 s Gruppe 0
0 Personen
Show details
Prediction details: Bette Schwarz

Placement

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

Swimming

Prognoseabstand: +45 s
Time:
Pace:

Cycling

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

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
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 Nenna Mäkinen
FIN
 +76 s Gruppe 0
0 Personen
Show details
Prediction details: Nenna Mäkinen

Placement

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

Swimming

Prognoseabstand: +76 s
Time:
Pace: 1:33 / 100 m
H2H: 12 Gegner:innen, 40 Duelle, Korrektur 0.59 %, Sicherheit 44 %

Cycling

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

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
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 Kaisa Keränen
FIN
 +23 s Gruppe 0
0 Personen
Show details
Prediction details: Kaisa Keränen

Placement

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

Swimming

Prognoseabstand: +23 s
Time:
Pace: 1:24 / 100 m
H2H: 15 Gegner:innen, 52 Duelle, Korrektur 0.63 %, Sicherheit 54 %

Cycling

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

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
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 Sofia Hämäläinen
FIN
 +38 s Gruppe 0
0 Personen
Show details
Prediction details: Sofia Hämäläinen

Placement

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

Swimming

Prognoseabstand: +38 s
Time:
Pace: 1:31 / 100 m
H2H: 14 Gegner:innen, 35 Duelle, Korrektur -0.53 %, Sicherheit 53 %

Cycling

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

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
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 Rachel O'Donoghue
ZIM
 +19 s Gruppe 0
0 Personen
Show details
Prediction details: Rachel O'Donoghue

Placement

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

Swimming

Prognoseabstand: +19 s
Time:
Pace: 1:35 / 100 m

Cycling

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

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
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 Beate Jansone
LAT
 +13 s Gruppe 0
0 Personen
Show details
Prediction details: Beate Jansone

Placement

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

Swimming

Prognoseabstand: +13 s
Time:
Pace: 1:25 / 100 m
H2H: 14 Gegner:innen, 84 Duelle, Korrektur -0.13 %, Sicherheit 68 %

Cycling

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

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
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 Julia Sikora
POL
 +36 s Gruppe 0
0 Personen
Show details
Prediction details: Julia Sikora

Placement

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

Swimming

Prognoseabstand: +36 s
Time:
Pace: 1:26 / 100 m
H2H: 12 Gegner:innen, 29 Duelle, Korrektur 0.68 %, Sicherheit 23 %

Cycling

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

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
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 Zofia Rosin
POL
 +27 s Gruppe 0
0 Personen
Show details
Prediction details: Zofia Rosin

Placement

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

Swimming

Prognoseabstand: +27 s
Time:
Pace: 1:21 / 100 m
H2H: 11 Gegner:innen, 21 Duelle, Korrektur 0.92 %, Sicherheit 27 %

Cycling

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

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
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 Anja Škunca
CRO
 +68 s Gruppe 0
0 Personen
Show details
Prediction details: Anja Škunca

Placement

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

Swimming

Prognoseabstand: +68 s
Time:
Pace: 1:43 / 100 m
H2H: 7 Gegner:innen, 11 Duelle, Korrektur -1.16 %, Sicherheit 13 %

Cycling

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

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Overall prediction:
Data basis: 6 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 Martina Buri
SUI
 +26 s Gruppe 0
0 Personen
Show details
Prediction details: Martina Buri

Placement

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

Swimming

Prognoseabstand: +26 s
Time:
Pace: 1:26 / 100 m
H2H: 9 Gegner:innen, 23 Duelle, Korrektur 0.41 %, Sicherheit 33 %

Cycling

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

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
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 Ruth Maley
CAN
 +81 s Gruppe 0
0 Personen
Show details
Prediction details: Ruth Maley

Placement

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

Swimming

Prognoseabstand: +81 s
Time:
Pace: 1:47 / 100 m
H2H: 8 Gegner:innen, 10 Duelle, Korrektur -1.04 %, Sicherheit 27 %

Cycling

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

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Overall prediction:
Data basis: 6 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 Ula Sijaviciute
LTU
 +23 s Gruppe 0
0 Personen
Show details
Prediction details: Ula Sijaviciute

Placement

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

Swimming

Prognoseabstand: +23 s
Time:
Pace: 1:36 / 100 m
H2H: 13 Gegner:innen, 50 Duelle, Korrektur -0.70 %, Sicherheit 30 %

Cycling

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

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
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 Lėja Bubulaitė
LTU
 +45 s Gruppe 0
0 Personen
Show details
Prediction details: Lėja Bubulaitė

Placement

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

Swimming

Prognoseabstand: +45 s
Time:
Pace: 1:29 / 100 m
H2H: 15 Gegner:innen, 38 Duelle, Korrektur -0.09 %, Sicherheit 53 %

Cycling

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

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
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 Vilgustė Gustaitytė
LTU
 +36 s Gruppe 0
0 Personen
Show details
Prediction details: Vilgustė Gustaitytė

Placement

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

Swimming

Prognoseabstand: +36 s
Time:
Pace: 1:36 / 100 m
H2H: 12 Gegner:innen, 43 Duelle, Korrektur -0.39 %, Sicherheit 27 %

Cycling

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

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
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 Anja Bezlaj
SLO
 +31 s Gruppe 0
0 Personen
Show details
Prediction details: Anja Bezlaj

Placement

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

Swimming

Prognoseabstand: +31 s
Time:
Pace: 1:30 / 100 m
H2H: 15 Gegner:innen, 53 Duelle, Korrektur -0.04 %, Sicherheit 58 %

Cycling

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

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
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 Minna Li Mäesepp
EST
 +71 s Gruppe 0
0 Personen
Show details
Prediction details: Minna Li Mäesepp

Placement

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

Swimming

Prognoseabstand: +71 s
Time:
Pace: 1:34 / 100 m
H2H: 9 Gegner:innen, 14 Duelle, Korrektur -0.22 %, Sicherheit 34 %

Cycling

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

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Overall prediction:
Data basis: 6 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 Evamaria Albert
EST
 +17 s Gruppe 0
0 Personen
Show details
Prediction details: Evamaria Albert

Placement

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

Swimming

Prognoseabstand: +17 s
Time:
Pace: 1:27 / 100 m
H2H: 9 Gegner:innen, 22 Duelle, Korrektur -0.29 %, Sicherheit 39 %

Cycling

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

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Overall prediction:
Data basis: 11 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 Nora Lehtme
EST
 +29 s Gruppe 0
0 Personen
Show details
Prediction details: Nora Lehtme

Placement

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

Swimming

Prognoseabstand: +29 s
Time:
Pace: 1:32 / 100 m
H2H: 8 Gegner:innen, 12 Duelle, Korrektur 0.08 %, Sicherheit 18 %

Cycling

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

Running and total

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