Race prediction

Junior Women

15.08.2026 "La Izvor" Arena MDA

Race information and calculation basis

2026 Europe Triathlon Junior Cup Chisinau

Datengrundlage: maximal zwölf Starts je Athlet:in, die zeitlich strikt vor 15.08.2026 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.

Swim distance in metres

Bike distance in metres

Run distance in metres

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 78.6 % · 22 Kalibrierungsrennen

Athlete	Swimming	Bike group	Details
Alice Ventre ITA	+53 s	Gruppe 0 0 Personen	Show details Prediction details: Alice Ventre Placement Prediction: 0 80% range: – Top-10 probability: 0 % Swimming Prognoseabstand: +53 s Time: Pace: 1:32 / 100 m H2H: 18 Gegner:innen, 24 Duelle, Korrektur 0.72 %, 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: 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.
Andra Cinciulescu ROU	+55 s	Gruppe 0 0 Personen	Show details Prediction details: Andra Cinciulescu Placement Prediction: 0 80% range: – Top-10 probability: 0 % Swimming Prognoseabstand: +55 s Time: Pace: 1:38 / 100 m H2H: 12 Gegner:innen, 12 Duelle, Korrektur -0.49 %, Sicherheit 46 % 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.
Ines Petcu ROU	+68 s	Gruppe 0 0 Personen	Show details Prediction details: Ines Petcu Placement Prediction: 0 80% range: – Top-10 probability: 0 % Swimming Prognoseabstand: +68 s Time: Pace: 1:41 / 100 m H2H: 12 Gegner:innen, 17 Duelle, Korrektur -0.39 %, Sicherheit 52 % 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.
Madalina Giorcovici ROU	+93 s	Gruppe 0 0 Personen	Show details Prediction details: Madalina Giorcovici Placement Prediction: 0 80% range: – Top-10 probability: 0 % Swimming Prognoseabstand: +93 s Time: Pace: 1:47 / 100 m H2H: 12 Gegner:innen, 12 Duelle, Korrektur -0.49 %, Sicherheit 46 % 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.
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.
Stefani Mihaylova BUL	+70 s	Gruppe 0 0 Personen	Show details Prediction details: Stefani Mihaylova Placement Prediction: 0 80% range: – Top-10 probability: 0 % Swimming Prognoseabstand: +70 s Time: Pace: 1:41 / 100 m H2H: 12 Gegner:innen, 12 Duelle, Korrektur -0.49 %, Sicherheit 46 % 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.
Andreea-Daniela Paun ROU	+97 s	Gruppe 0 0 Personen	Show details Prediction details: Andreea-Daniela Paun Placement Prediction: 0 80% range: – Top-10 probability: 0 % Swimming Prognoseabstand: +97 s Time: Pace: 1:47 / 100 m H2H: 15 Gegner:innen, 27 Duelle, Korrektur -0.78 %, Sicherheit 69 % 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.
Aisha Batel Essameldin Abouelela ROU	+51 s	Gruppe 0 0 Personen	Show details Prediction details: Aisha Batel Essameldin Abouelela Placement Prediction: 0 80% range: – Top-10 probability: 0 % Swimming Prognoseabstand: +51 s Time: Pace: 1:30 / 100 m H2H: 15 Gegner:innen, 27 Duelle, Korrektur 0.71 %, Sicherheit 65 % 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.
Antonia Madalina Vasian ROU	+35 s	Gruppe 0 0 Personen	Show details Prediction details: Antonia Madalina Vasian Placement Prediction: 0 80% range: – Top-10 probability: 0 % Swimming Prognoseabstand: +35 s Time: Pace: 1:32 / 100 m H2H: 19 Gegner:innen, 31 Duelle, Korrektur -0.57 %, Sicherheit 71 % 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.
Raluca Vilcu ROU	+48 s	Gruppe 0 0 Personen	Show details Prediction details: Raluca Vilcu Placement Prediction: 0 80% range: – Top-10 probability: 0 % Swimming Prognoseabstand: +48 s Time: Pace: 1:34 / 100 m H2H: 20 Gegner:innen, 59 Duelle, Korrektur -0.45 %, Sicherheit 83 % 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.
Tunde Georgiana Crisan ROU	+29 s	Gruppe 0 0 Personen	Show details Prediction details: Tunde Georgiana Crisan Placement Prediction: 0 80% range: – Top-10 probability: 0 % Swimming Prognoseabstand: +29 s Time: Pace: 1:28 / 100 m H2H: 21 Gegner:innen, 45 Duelle, Korrektur 0.17 %, 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.
Giulia Doninelli ITA	–	–	Show details Prediction details: Giulia Doninelli 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.
Emi Accorsi ITA	–	–	Show details Prediction details: Emi Accorsi 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.
Emma Salvini ITA	–	–	Show details Prediction details: Emma Salvini 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.
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: 11 Gegner:innen, 54 Duelle, Korrektur -0.31 %, Sicherheit 64 % 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.
Iris Acri ITA	+25 s	Gruppe 0 0 Personen	Show details Prediction details: Iris Acri Placement Prediction: 0 80% range: – Top-10 probability: 0 % Swimming Prognoseabstand: +25 s Time: Pace: 1:28 / 100 m H2H: 8 Gegner:innen, 15 Duelle, Korrektur -0.15 %, 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: 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.
Vittoria Facco ITA	+12 s	Gruppe 0 0 Personen	Show details Prediction details: Vittoria Facco Placement Prediction: 0 80% range: – Top-10 probability: 0 % Swimming Prognoseabstand: +12 s Time: Pace: 1:22 / 100 m H2H: 9 Gegner:innen, 33 Duelle, Korrektur 0.58 %, 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: 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.
Amina Marchenko UKR	+54 s	Gruppe 0 0 Personen	Show details Prediction details: Amina Marchenko Placement Prediction: 0 80% range: – Top-10 probability: 0 % Swimming Prognoseabstand: +54 s Time: Pace: 1:31 / 100 m H2H: 13 Gegner:innen, 20 Duelle, Korrektur 0.71 %, Sicherheit 36 % 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.
Dana Soroka UKR	+30 s	Gruppe 0 0 Personen	Show details Prediction details: Dana Soroka Placement Prediction: 0 80% range: – Top-10 probability: 0 % Swimming Prognoseabstand: +30 s Time: Pace: 1:21 / 100 m H2H: 9 Gegner:innen, 37 Duelle, Korrektur 0.98 %, 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.
Berra Çolak TUR	–	–	Show details Prediction details: Berra Çolak 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.
Flaviana Panzaru MDA	+90 s	Gruppe 0 0 Personen	Show details Prediction details: Flaviana Panzaru Placement Prediction: 0 80% range: – Top-10 probability: 0 % Swimming Prognoseabstand: +90 s Time: Pace: 1:46 / 100 m H2H: 12 Gegner:innen, 12 Duelle, Korrektur -0.49 %, Sicherheit 46 % 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.
Alice Colombo ITA	–	–	Show details Prediction details: Alice Colombo 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.
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: 13 Gegner:innen, 30 Duelle, Korrektur -0.44 %, Sicherheit 59 % 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.
Naomi Levy ISR	+43 s	Gruppe 0 0 Personen	Show details Prediction details: Naomi Levy Placement Prediction: 0 80% range: – Top-10 probability: 0 % Swimming Prognoseabstand: +43 s Time: Pace: 1:30 / 100 m H2H: 8 Gegner:innen, 8 Duelle, Korrektur 0.88 %, 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: 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.
Ayşe Simay Sahan TUR	+43 s	Gruppe 0 0 Personen	Show details Prediction details: Ayşe Simay Sahan Placement Prediction: 0 80% range: – Top-10 probability: 0 % Swimming Prognoseabstand: +43 s Time: Pace: 1:32 / 100 m H2H: 20 Gegner:innen, 38 Duelle, Korrektur -0.03 %, Sicherheit 85 % 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.
Nisa Cebeci TUR	+34 s	Gruppe 0 0 Personen	Show details Prediction details: Nisa Cebeci Placement Prediction: 0 80% range: – Top-10 probability: 0 % Swimming Prognoseabstand: +34 s Time: Pace: 1:27 / 100 m H2H: 10 Gegner:innen, 18 Duelle, Korrektur 0.82 %, Sicherheit 31 % 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.
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: 11 Gegner:innen, 26 Duelle, Korrektur 0.20 %, 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.
Mirolyuba Nenkova BUL	+63 s	Gruppe 0 0 Personen	Show details Prediction details: Mirolyuba Nenkova Placement Prediction: 0 80% range: – Top-10 probability: 0 % Swimming Prognoseabstand: +63 s Time: Pace: 1:33 / 100 m H2H: 18 Gegner:innen, 39 Duelle, Korrektur 0.68 %, Sicherheit 76 % 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.

Placement

Swimming

Cycling

Running and total

Placement

Swimming

Cycling

Running and total

Placement

Swimming

Cycling

Running and total

Placement

Swimming

Cycling

Running and total

Placement

Swimming

Cycling

Running and total

Placement

Swimming

Cycling

Running and total

Placement

Swimming

Cycling

Running and total

Placement

Swimming

Cycling

Running and total

Placement

Swimming

Cycling

Running and total

Placement

Swimming

Cycling

Running and total

Placement

Swimming

Cycling

Running and total

Placement

Swimming

Cycling

Running and total

Placement

Swimming

Cycling

Running and total

Placement

Swimming

Cycling

Running and total

Placement

Swimming

Cycling

Running and total

Placement

Swimming

Cycling

Running and total

Placement

Swimming

Cycling

Running and total

Placement

Swimming

Cycling

Running and total

Placement

Swimming

Cycling

Running and total

Placement

Swimming

Cycling

Running and total