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Performance Workspace
Predicition
Live data
Race prediction

Junior Women

09.08.2026 Rowing Canal KAZ
Race information and calculation basis
2026 Asia Triathlon Junior Cup Turkestan

Datengrundlage: maximal zwölf Starts je Athlet:in, die zeitlich strikt vor 09.08.2026 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 63.6 % · 22 Kalibrierungsrennen

Rank Athlete Swimming Bike group Run Total Details
0 Dayana Lukienko
UZB
 +123 s Gruppe 0
0 Personen
Show details
Prediction details: Dayana Lukienko

Placement

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

Swimming

Prognoseabstand: +123 s
Time:
Pace: 1:41 / 100 m
H2H: 12 Gegner:innen, 28 Duelle, Korrektur 0.47 %, Sicherheit 50 %

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 Aizhan Bolotbekova
KGZ
 – –
Show details
Prediction details: Aizhan Bolotbekova

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 Uliana Polarush
AIN
 – –
Show details
Prediction details: Uliana Polarush

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 Nadezhda Dudina
KGZ
 – –
Show details
Prediction details: Nadezhda Dudina

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 Altynai Satymbekova
KGZ
 +215 s Gruppe 0
0 Personen
Show details
Prediction details: Altynai Satymbekova

Placement

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

Swimming

Prognoseabstand: +215 s
Time:
Pace: 2:05 / 100 m
H2H: 3 Gegner:innen, 3 Duelle, Korrektur 0.29 %, Sicherheit 6 %

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 Daria Chigakova
KGZ
 +205 s Gruppe 0
0 Personen
Show details
Prediction details: Daria Chigakova

Placement

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

Swimming

Prognoseabstand: +205 s
Time:
Pace: 1:58 / 100 m
H2H: 4 Gegner:innen, 4 Duelle, Korrektur -0.43 %, Sicherheit 15 %

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 Tatiana Andreevna Kokina
KGZ
 +88 s Gruppe 0
0 Personen
Show details
Prediction details: Tatiana Andreevna Kokina

Placement

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

Swimming

Prognoseabstand: +88 s
Time:
Pace: 1:38 / 100 m
H2H: 8 Gegner:innen, 10 Duelle, Korrektur -0.01 %, Sicherheit 29 %

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: 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 Kramarenko Anna
KGZ
 +203 s Gruppe 0
0 Personen
Show details
Prediction details: Kramarenko Anna

Placement

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

Swimming

Prognoseabstand: +203 s
Time:
Pace: 1:58 / 100 m
H2H: 7 Gegner:innen, 13 Duelle, Korrektur -0.61 %, Sicherheit 20 %

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: 4 Races · Confidence 0.80
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 Angelina Blindul
KGZ
 +159 s Gruppe 0
0 Personen
Show details
Prediction details: Angelina Blindul

Placement

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

Swimming

Prognoseabstand: +159 s
Time:
Pace: 1:52 / 100 m
H2H: 7 Gegner:innen, 15 Duelle, Korrektur -0.44 %, Sicherheit 25 %

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: 8 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 Vera Kavaliova
BLR
 – –
Show details
Prediction details: Vera Kavaliova

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 Palina Abrazhevich
BLR
 – –
Show details
Prediction details: Palina Abrazhevich

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 Aida Kim
KAZ
 +57 s Gruppe 0
0 Personen
Show details
Prediction details: Aida Kim

Placement

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

Swimming

Prognoseabstand: +57 s
Time:
Pace: 1:37 / 100 m
H2H: 12 Gegner:innen, 23 Duelle, Korrektur -0.15 %, Sicherheit 48 %

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.
0 Alena Lopatina
AIN
 – –
Show details
Prediction details: Alena Lopatina

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 Anhelina Shkuleva
BLR
 +44 s Gruppe 0
0 Personen
Show details
Prediction details: Anhelina Shkuleva

Placement

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

Swimming

Prognoseabstand: +44 s
Time:
Pace: 1:29 / 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: 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 Ruslana Drazdova
BLR
 +48 s Gruppe 0
0 Personen
Show details
Prediction details: Ruslana Drazdova

Placement

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

Swimming

Prognoseabstand: +48 s
Time:
Pace: 1:33 / 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: 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 Ssu Hui Wu
TPE
 +84 s Gruppe 0
0 Personen
Show details
Prediction details: Ssu Hui Wu

Placement

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

Swimming

Prognoseabstand: +84 s
Time:
Pace: 1:36 / 100 m
H2H: 5 Gegner:innen, 7 Duelle, Korrektur 0.85 %, 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: 4 Races · Confidence 0.80
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 Sofya Kolyuka
KAZ
 +113 s Gruppe 0
0 Personen
Show details
Prediction details: Sofya Kolyuka

Placement

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

Swimming

Prognoseabstand: +113 s
Time:
Pace: 1:42 / 100 m
H2H: 6 Gegner:innen, 6 Duelle, Korrektur -0.01 %, Sicherheit 22 %

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 Dayana Karim
KAZ
 +89 s Gruppe 0
0 Personen
Show details
Prediction details: Dayana Karim

Placement

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

Swimming

Prognoseabstand: +89 s
Time:
Pace: 1:35 / 100 m
H2H: 4 Gegner:innen, 6 Duelle, Korrektur 0.54 %, Sicherheit 9 %

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: 4 Races · Confidence 0.80
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 Sara Maralbekova
KAZ
 +120 s Gruppe 0
0 Personen
Show details
Prediction details: Sara Maralbekova

Placement

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

Swimming

Prognoseabstand: +120 s
Time:
Pace: 1:43 / 100 m
H2H: 6 Gegner:innen, 6 Duelle, Korrektur -0.01 %, Sicherheit 22 %

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 Medina Makulzhanova
KAZ
 +130 s Gruppe 0
0 Personen
Show details
Prediction details: Medina Makulzhanova

Placement

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

Swimming

Prognoseabstand: +130 s
Time:
Pace: 1:45 / 100 m
H2H: 6 Gegner:innen, 6 Duelle, Korrektur -0.01 %, Sicherheit 22 %

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 Alua Nurmuhamet
KAZ
 +21 s Gruppe 0
0 Personen
Show details
Prediction details: Alua Nurmuhamet

Placement

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

Swimming

Prognoseabstand: +21 s
Time:
Pace: 1:29 / 100 m
H2H: 9 Gegner:innen, 19 Duelle, Korrektur 0.32 %, Sicherheit 47 %

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: 9 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 Kaleriya Shneider
KAZ
 +34 s Gruppe 0
0 Personen
Show details
Prediction details: Kaleriya Shneider

Placement

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

Swimming

Prognoseabstand: +34 s
Time:
Pace: 1:34 / 100 m
H2H: 7 Gegner:innen, 14 Duelle, Korrektur -0.47 %, Sicherheit 37 %

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.