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Race prediction

Elite Women

31.07.2026 POL
Race information and calculation basis
2026 Europe Triathlon Sprint and Relay Championships Elblag

Datengrundlage: maximal zwölf Starts je Athlet:in, die zeitlich strikt vor 31.07.2026 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 95.8 % · 22 Kalibrierungsrennen

Rank Athlete Swimming Bike group Run Total Details
0 Roksana Slupek
POL
 +29 s Gruppe 0
0 Personen
Show details
Prediction details: Roksana Slupek

Placement

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

Swimming

Prognoseabstand: +29 s
Time:
Pace: 1:19 / 100 m
H2H: 21 Gegner:innen, 84 Duelle, Korrektur -0.20 %, Sicherheit 100 %

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 Annika Koch
GER
 +31 s Gruppe 0
0 Personen
Show details
Prediction details: Annika Koch

Placement

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

Swimming

Prognoseabstand: +31 s
Time:
Pace: 1:20 / 100 m
H2H: 20 Gegner:innen, 109 Duelle, Korrektur -0.12 %, Sicherheit 97 %

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 Barbara De Koning
NED
 +34 s Gruppe 0
0 Personen
Show details
Prediction details: Barbara De Koning

Placement

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

Swimming

Prognoseabstand: +34 s
Time:
Pace: 1:20 / 100 m
H2H: 22 Gegner:innen, 202 Duelle, Korrektur -0.13 %, Sicherheit 100 %

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 Selina Klamt
GER
 +7 s Gruppe 0
0 Personen
Show details
Prediction details: Selina Klamt

Placement

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

Swimming

Prognoseabstand: +7 s
Time:
Pace: 1:17 / 100 m
H2H: 22 Gegner:innen, 178 Duelle, Korrektur 0.12 %, Sicherheit 100 %

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 Ilaria Zane
ITA
 +24 s Gruppe 0
0 Personen
Show details
Prediction details: Ilaria Zane

Placement

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

Swimming

Prognoseabstand: +24 s
Time:
Pace: 1:17 / 100 m
H2H: 20 Gegner:innen, 110 Duelle, Korrektur 0.29 %, Sicherheit 100 %

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 Carlotta Missaglia
ITA
 +34 s Gruppe 0
0 Personen
Show details
Prediction details: Carlotta Missaglia

Placement

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

Swimming

Prognoseabstand: +34 s
Time:
Pace: 1:20 / 100 m
H2H: 21 Gegner:innen, 135 Duelle, Korrektur -0.07 %, Sicherheit 100 %

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 Nora Gmür
SUI
 +19 s Gruppe 0
0 Personen
Show details
Prediction details: Nora Gmür

Placement

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

Swimming

Prognoseabstand: +19 s
Time:
Pace: 1:18 / 100 m
H2H: 22 Gegner:innen, 136 Duelle, Korrektur 0.27 %, Sicherheit 87 %

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 Heidi Juránková
CZE
 +29 s Gruppe 0
0 Personen
Show details
Prediction details: Heidi Juránková

Placement

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

Swimming

Prognoseabstand: +29 s
Time:
Pace: 1:21 / 100 m
H2H: 19 Gegner:innen, 55 Duelle, Korrektur -0.16 %, 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 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: 18 Gegner:innen, 58 Duelle, Korrektur 0.14 %, Sicherheit 100 %

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 Rebecca Beti
SUI
 +33 s Gruppe 0
0 Personen
Show details
Prediction details: Rebecca Beti

Placement

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

Swimming

Prognoseabstand: +33 s
Time:
Pace: 1:23 / 100 m
H2H: 22 Gegner:innen, 111 Duelle, Korrektur -0.31 %, Sicherheit 100 %

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 Katrien Maes
BEL
 +35 s Gruppe 0
0 Personen
Show details
Prediction details: Katrien Maes

Placement

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

Swimming

Prognoseabstand: +35 s
Time:
Pace: 1:20 / 100 m
H2H: 22 Gegner:innen, 95 Duelle, Korrektur 0.07 %, Sicherheit 100 %

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 Zuzanna Sudak
POL
 +30 s Gruppe 0
0 Personen
Show details
Prediction details: Zuzanna Sudak

Placement

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

Swimming

Prognoseabstand: +30 s
Time:
Pace: 1:20 / 100 m
H2H: 22 Gegner:innen, 93 Duelle, Korrektur 0.07 %, Sicherheit 100 %

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 Madalena Amaral Almeida
POR
 +49 s Gruppe 0
0 Personen
Show details
Prediction details: Madalena Amaral Almeida

Placement

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

Swimming

Prognoseabstand: +49 s
Time:
Pace: 1:24 / 100 m
H2H: 21 Gegner:innen, 97 Duelle, Korrektur -0.27 %, Sicherheit 100 %

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 Romana Gajdošová
SVK
 +42 s Gruppe 0
0 Personen
Show details
Prediction details: Romana Gajdošová

Placement

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

Swimming

Prognoseabstand: +42 s
Time:
Pace: 1:21 / 100 m
H2H: 20 Gegner:innen, 101 Duelle, Korrektur 0.02 %, Sicherheit 100 %

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 Magdalena Sudak
POL
 +21 s Gruppe 0
0 Personen
Show details
Prediction details: Magdalena Sudak

Placement

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

Swimming

Prognoseabstand: +21 s
Time:
Pace: 1:20 / 100 m
H2H: 22 Gegner:innen, 114 Duelle, Korrektur 0.00 %, Sicherheit 100 %

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 Karolina Helga Horváth
HUN
 +23 s Gruppe 0
0 Personen
Show details
Prediction details: Karolina Helga Horváth

Placement

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

Swimming

Prognoseabstand: +23 s
Time:
Pace: 1:18 / 100 m
H2H: 21 Gegner:innen, 78 Duelle, Korrektur 0.08 %, Sicherheit 100 %

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 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: 1:27 / 100 m
H2H: 21 Gegner:innen, 67 Duelle, Korrektur -0.55 %, 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 Helena Knaapi
FIN
 +50 s Gruppe 0
0 Personen
Show details
Prediction details: Helena Knaapi

Placement

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

Swimming

Prognoseabstand: +50 s
Time:
Pace: 1:20 / 100 m
H2H: 21 Gegner:innen, 61 Duelle, Korrektur 0.26 %, Sicherheit 100 %

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 Sofya Kryvetskaya
BLR
 +59 s Gruppe 0
0 Personen
Show details
Prediction details: Sofya Kryvetskaya

Placement

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

Swimming

Prognoseabstand: +59 s
Time:
Pace: 1:28 / 100 m
H2H: 14 Gegner:innen, 31 Duelle, Korrektur -0.28 %, Sicherheit 57 %

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 Zsanett Kuttor-Bragmayer
HUN
 +29 s Gruppe 0
0 Personen
Show details
Prediction details: Zsanett Kuttor-Bragmayer

Placement

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

Swimming

Prognoseabstand: +29 s
Time:
Pace: 1:19 / 100 m
H2H: 17 Gegner:innen, 91 Duelle, Korrektur -0.26 %, Sicherheit 55 %

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 Silke De Wolde
NED
 +31 s Gruppe 0
0 Personen
Show details
Prediction details: Silke De Wolde

Placement

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

Swimming

Prognoseabstand: +31 s
Time:
Pace: 1:23 / 100 m
H2H: 18 Gegner:innen, 34 Duelle, Korrektur -0.03 %, Sicherheit 49 %

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: 1:20 / 100 m
H2H: 18 Gegner:innen, 52 Duelle, Korrektur 0.28 %, 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 Inês Rico
POR
 +25 s Gruppe 0
0 Personen
Show details
Prediction details: Inês Rico

Placement

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

Swimming

Prognoseabstand: +25 s
Time:
Pace: 1:18 / 100 m
H2H: 16 Gegner:innen, 40 Duelle, Korrektur 0.69 %, 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 Anna Harbo
DEN
 +0 s Gruppe 0
0 Personen
Show details
Prediction details: Anna Harbo

Placement

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

Swimming

Prognoseabstand: +0 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: 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.