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Performance Workspace
Predicition
Live data
Race prediction

Elite Women

08.08.2026 Rowing Canal KAZ
Race information and calculation basis
2026 Asia Triathlon Cup Turkestan

Datengrundlage: maximal zwölf Starts je Athlet:in, die zeitlich strikt vor 08.08.2026 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 100.0 % · 22 Kalibrierungsrennen

Rank Athlete Swimming Bike group Run Total Details
0 Sofiya Pryyma
UKR
 +48 s Gruppe 0
0 Personen
Show details
Prediction details: Sofiya Pryyma

Placement

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

Swimming

Prognoseabstand: +48 s
Time:
Pace: 1:28 / 100 m
H2H: 9 Gegner:innen, 25 Duelle, Korrektur -0.18 %, 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 Henrika Parviainen
FIN
 +46 s Gruppe 0
0 Personen
Show details
Prediction details: Henrika Parviainen

Placement

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

Swimming

Prognoseabstand: +46 s
Time:
Pace: 1:25 / 100 m
H2H: 12 Gegner:innen, 18 Duelle, Korrektur -0.16 %, Sicherheit 42 %

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 Hanna Maksimava
BLR
 +43 s Gruppe 0
0 Personen
Show details
Prediction details: Hanna Maksimava

Placement

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

Swimming

Prognoseabstand: +43 s
Time:
Pace: 1:24 / 100 m
H2H: 8 Gegner:innen, 29 Duelle, Korrektur 0.21 %, 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 Raven Alcoseba
PHI
 +20 s Gruppe 0
0 Personen
Show details
Prediction details: Raven Alcoseba

Placement

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

Swimming

Prognoseabstand: +20 s
Time:
Pace: 1:24 / 100 m
H2H: 9 Gegner:innen, 28 Duelle, Korrektur 0.05 %, Sicherheit 40 %

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 Alina Sinevich
BLR
 +31 s Gruppe 0
0 Personen
Show details
Prediction details: Alina Sinevich

Placement

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

Swimming

Prognoseabstand: +31 s
Time:
Pace: 1:22 / 100 m
H2H: 5 Gegner:innen, 13 Duelle, Korrektur 0.20 %, Sicherheit 17 %

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 Veronika Ivanyuk
KAZ
 +105 s Gruppe 0
0 Personen
Show details
Prediction details: Veronika Ivanyuk

Placement

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

Swimming

Prognoseabstand: +105 s
Time:
Pace: 1:37 / 100 m
H2H: 7 Gegner:innen, 12 Duelle, Korrektur 0.10 %, 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: 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 Ramina Agabayeva
KAZ
 +99 s Gruppe 0
0 Personen
Show details
Prediction details: Ramina Agabayeva

Placement

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

Swimming

Prognoseabstand: +99 s
Time:
Pace: 1:36 / 100 m
H2H: 7 Gegner:innen, 12 Duelle, Korrektur -0.14 %, Sicherheit 26 %

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 Arina Shulgina
KAZ
 +94 s Gruppe 0
0 Personen
Show details
Prediction details: Arina Shulgina

Placement

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

Swimming

Prognoseabstand: +94 s
Time:
Pace: 1:35 / 100 m
H2H: 7 Gegner:innen, 8 Duelle, Korrektur -0.06 %, 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: 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 Gayeon Park
KOR
 +6 s Gruppe 0
0 Personen
Show details
Prediction details: Gayeon Park

Placement

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

Swimming

Prognoseabstand: +6 s
Time:
Pace: 1:24 / 100 m
H2H: 8 Gegner:innen, 27 Duelle, Korrektur 0.06 %, Sicherheit 26 %

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 Hinaka Masuda
JPN
 +13 s Gruppe 0
0 Personen
Show details
Prediction details: Hinaka Masuda

Placement

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

Swimming

Prognoseabstand: +13 s
Time:
Pace: 1:23 / 100 m
H2H: 7 Gegner:innen, 26 Duelle, Korrektur 0.15 %, 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: 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 Daryna Moskalenko
UKR
 +36 s Gruppe 0
0 Personen
Show details
Prediction details: Daryna Moskalenko

Placement

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

Swimming

Prognoseabstand: +36 s
Time:
Pace: 1:21 / 100 m
H2H: 3 Gegner:innen, 9 Duelle, Korrektur 0.88 %, Sicherheit 4 %

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 Diana Biktimirova
UZB
 +12 s Gruppe 0
0 Personen
Show details
Prediction details: Diana Biktimirova

Placement

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

Swimming

Prognoseabstand: +12 s
Time:
Pace: 1:24 / 100 m
H2H: 12 Gegner:innen, 34 Duelle, Korrektur 0.21 %, Sicherheit 74 %

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 Alina Khakimova
UZB
 +54 s Gruppe 0
0 Personen
Show details
Prediction details: Alina Khakimova

Placement

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

Swimming

Prognoseabstand: +54 s
Time:
Pace: 1:28 / 100 m
H2H: 16 Gegner:innen, 49 Duelle, Korrektur -0.04 %, Sicherheit 77 %

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 Yuki Sugihara
JPN
 +34 s Gruppe 0
0 Personen
Show details
Prediction details: Yuki Sugihara

Placement

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

Swimming

Prognoseabstand: +34 s
Time:
Pace: 1:26 / 100 m
H2H: 9 Gegner:innen, 20 Duelle, Korrektur -0.11 %, Sicherheit 40 %

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 Himeka Sato
JPN
 +23 s Gruppe 0
0 Personen
Show details
Prediction details: Himeka Sato

Placement

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

Swimming

Prognoseabstand: +23 s
Time:
Pace: 1:22 / 100 m
H2H: 10 Gegner:innen, 58 Duelle, Korrektur 0.25 %, Sicherheit 75 %

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 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: 5 Gegner:innen, 13 Duelle, Korrektur -0.14 %, Sicherheit 21 %

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 Diana Yerzhanova
KAZ
 +46 s Gruppe 0
0 Personen
Show details
Prediction details: Diana Yerzhanova

Placement

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

Swimming

Prognoseabstand: +46 s
Time:
Pace: 1:32 / 100 m
H2H: 15 Gegner:innen, 38 Duelle, Korrektur -0.44 %, Sicherheit 70 %

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 Dolly Devidas Patil
IND
 +42 s Gruppe 0
0 Personen
Show details
Prediction details: Dolly Devidas Patil

Placement

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

Swimming

Prognoseabstand: +42 s
Time:
Pace: 1:29 / 100 m
H2H: 5 Gegner:innen, 9 Duelle, Korrektur -0.09 %, Sicherheit 14 %

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.