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Performance Workspace
Predicition
Live data
Race prediction

Elite Women

08.08.2026 Silver Palm Spa & Resort KEN
Race information and calculation basis
2026 World Triathlon Development Regional Cup Kilifi

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 81.8 % · 22 Kalibrierungsrennen

Rank Athlete Swimming Bike group Run Total Details
0 Jana Mutschler
NAM
 +215 s Gruppe 0
0 Personen
Show details
Prediction details: Jana Mutschler

Placement

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

Swimming

Prognoseabstand: +215 s
Time:
Pace: 1:55 / 100 m
H2H: 5 Gegner:innen, 6 Duelle, Korrektur -0.24 %, 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: 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 Vânia Viola
MOZ
 – –
Show details
Prediction details: Vânia Viola

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 Faith Mugweru
KEN
 +193 s Gruppe 0
0 Personen
Show details
Prediction details: Faith Mugweru

Placement

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

Swimming

Prognoseabstand: +193 s
Time:
Pace: 2:00 / 100 m
H2H: 5 Gegner:innen, 6 Duelle, Korrektur 1.39 %, 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: 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 Iman Kaiza
KEN
 +204 s Gruppe 0
0 Personen
Show details
Prediction details: Iman Kaiza

Placement

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

Swimming

Prognoseabstand: +204 s
Time:
Pace: 1:59 / 100 m
H2H: 1 Gegner:innen, 5 Duelle, Korrektur -0.52 %, 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: 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 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
H2H: 3 Gegner:innen, 3 Duelle, Korrektur -0.05 %, Sicherheit 8 %

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 Keira Rajabalee
MRI
 +36 s Gruppe 0
0 Personen
Show details
Prediction details: Keira Rajabalee

Placement

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

Swimming

Prognoseabstand: +36 s
Time:
Pace: 1:40 / 100 m
H2H: 6 Gegner:innen, 7 Duelle, Korrektur -0.42 %, 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: 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 Coura Sall
SEN
 +101 s Gruppe 0
0 Personen
Show details
Prediction details: Coura Sall

Placement

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

Swimming

Prognoseabstand: +101 s
Time:
Pace: 2:15 / 100 m
H2H: 1 Gegner:innen, 1 Duelle, Korrektur -2.47 %, Sicherheit 2 %

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 Joudy Fathy
EGY
 +44 s Gruppe 0
0 Personen
Show details
Prediction details: Joudy Fathy

Placement

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

Swimming

Prognoseabstand: +44 s
Time:
Pace: 1:42 / 100 m
H2H: 5 Gegner:innen, 6 Duelle, Korrektur -1.37 %, 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: 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 Ngoné Diop
SEN
 +247 s Gruppe 0
0 Personen
Show details
Prediction details: Ngoné Diop

Placement

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

Swimming

Prognoseabstand: +247 s
Time:
Pace: 2:56 / 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: 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 Megan Irungu
KEN
 +195 s Gruppe 0
0 Personen
Show details
Prediction details: Megan Irungu

Placement

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

Swimming

Prognoseabstand: +195 s
Time:
Pace: 1:45 / 100 m
H2H: 3 Gegner:innen, 7 Duelle, Korrektur 0.00 %, 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: 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 Saleha nerddjes Berrached
ALG
 +95 s Gruppe 0
0 Personen
Show details
Prediction details: Saleha nerddjes Berrached

Placement

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

Swimming

Prognoseabstand: +95 s
Time:
Pace: 1:31 / 100 m
H2H: 5 Gegner:innen, 5 Duelle, Korrektur 1.85 %, 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: 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.