Prediction comparison

U23 Women

20.10.2018 Eilat ISR

Race information and calculation basis

2018 Eilat ETU Triathlon U23 European Championships

Datengrundlage: maximal zwölf Starts je Athlet:in, die zeitlich strikt vor 20.10.2018 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 Default values

Prediction quality 0/100 sehr niedrig

Show model parameters and data quality

Not yet sufficiently calibrated – conservative defaults are used.

Einzelabstand ≤ 4 s Gruppenspanne ≤ 14 s Gruppeneffekt 0.65 Max. Vorteil 2.2 km/h

Datenabdeckung 0.0 % · Head-to-Head-Abdeckung 21.7 % · 0 Kalibrierungsrennen

Retrospective backtest without using the analysed race or later results.

Show methodology

Only after the historical calculation is the prediction compared with the actual result.

Prediction comparison

Summary of prediction errors

Mean place error12.0

Mean swim error22.2 s

Correct bike groups0/0

No history0

Place Prediction / result	Athlete	Swimming Prediction / result	Bike group Prediction / result	Details
0 / 1	Julie Derron SUI	+65 s +59 s	G0 / G1	Show details Prediction details: Julie Derron Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 1 Deviation: -1 Swimming Prognoseabstand: +65 s Time: Pace: 1:23 / 100 m Ergebnisabstand: +59 s Fehler: 6.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 1 (8 people) Speed: 0.0 km/h Tempo-Fehler: 0.00 km/h Running and total Run: () Historical basis: Best comparable pace: Trend: +0:00 / km Comparable races: 0 Fallback calculation from other run distances Ergebnis Lauf: 37:48 () Error: / 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 / 2	Cecilia Santamaria Surroca ESP	+37 s +31 s	G0 / G1	Show details Prediction details: Cecilia Santamaria Surroca Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 2 Deviation: -2 Swimming Prognoseabstand: +37 s Time: Pace: Ergebnisabstand: +31 s Fehler: 6.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 1 (8 people) Speed: 0.0 km/h Tempo-Fehler: 0.00 km/h Running and total Run: () Historical basis: Best comparable pace: Trend: +0:00 / km Comparable races: 0 Fallback calculation from other run distances Ergebnis Lauf: 38:08 () Error: / 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 / 3	Olivia Mathias GBR	+12 s +1 s	G0 / G1	Show details Prediction details: Olivia Mathias Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 3 Deviation: -3 Swimming Prognoseabstand: +12 s Time: Pace: Ergebnisabstand: +1 s Fehler: 11.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 1 (8 people) Speed: 0.0 km/h Tempo-Fehler: 0.00 km/h Running and total Run: () Historical basis: Best comparable pace: Trend: +0:00 / km Comparable races: 0 Fallback calculation from other run distances Ergebnis Lauf: 39:08 () Error: / 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 / 4	Sophie Alden GBR	+0 s +0 s	G0 / G1	Show details Prediction details: Sophie Alden Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 4 Deviation: -4 Swimming Prognoseabstand: +0 s Time: Pace: Ergebnisabstand: +0 s Fehler: 0.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 1 (8 people) Speed: 0.0 km/h Tempo-Fehler: 0.00 km/h Running and total Run: () Historical basis: Best comparable pace: Trend: +0:00 / km Comparable races: 0 Fallback calculation from other run distances Ergebnis Lauf: 39:42 () Error: / 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 / 5	Estelle Perriard SUI	+69 s +72 s	G0 / G1	Show details Prediction details: Estelle Perriard Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 5 Deviation: -5 Swimming Prognoseabstand: +69 s Time: Pace: 1:23 / 100 m Ergebnisabstand: +72 s Fehler: -3.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 1 (8 people) Speed: 0.0 km/h Tempo-Fehler: 0.00 km/h Running and total Run: () Historical basis: Best comparable pace: Trend: +0:00 / km Comparable races: 0 Fallback calculation from other run distances Ergebnis Lauf: 40:20 () Error: / 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 / 6	Ekaterina Matiukh RUS	+60 s +44 s	G0 / G1	Show details Prediction details: Ekaterina Matiukh Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 6 Deviation: -6 Swimming Prognoseabstand: +60 s Time: Pace: 1:24 / 100 m Ergebnisabstand: +44 s Fehler: 16.0 s H2H: 1 Gegner:innen, 1 Duelle, Korrektur 0.00 %, Sicherheit 1 % Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 1 (8 people) Speed: 0.0 km/h Tempo-Fehler: 0.00 km/h Running and total Run: () Historical basis: Best comparable pace: Trend: +0:00 / km Comparable races: 0 Fallback calculation from other run distances Ergebnis Lauf: 41:02 () Error: / 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 / 7	Marta Lagownik POL	+73 s +120 s	G0 / G3	Show details Prediction details: Marta Lagownik Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 7 Deviation: -7 Swimming Prognoseabstand: +73 s Time: Pace: Ergebnisabstand: +120 s Fehler: -47.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 3 (5 people) Speed: 0.0 km/h Tempo-Fehler: 0.00 km/h Running and total Run: () Historical basis: Best comparable pace: Trend: +0:00 / km Comparable races: 0 Fallback calculation from other run distances Ergebnis Lauf: 38:06 () Error: / 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 / 8	Marta Sanchez Hernandez ESP	+21 s +31 s	G0 / G1	Show details Prediction details: Marta Sanchez Hernandez Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 8 Deviation: -8 Swimming Prognoseabstand: +21 s Time: Pace: Ergebnisabstand: +31 s Fehler: -10.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 1 (8 people) Speed: 0.0 km/h Tempo-Fehler: 0.00 km/h Running and total Run: () Historical basis: Best comparable pace: Trend: +0:00 / km Comparable races: 0 Fallback calculation from other run distances Ergebnis Lauf: 41:37 () Error: / 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 / 9	Hagar Cohen Kalif ISR	+31 s +65 s	G0 / G2	Show details Prediction details: Hagar Cohen Kalif Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 9 Deviation: -9 Swimming Prognoseabstand: +31 s Time: Pace: Ergebnisabstand: +65 s Fehler: -34.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 2 (3 people) Speed: 0.0 km/h Tempo-Fehler: 0.00 km/h Running and total Run: () Historical basis: Best comparable pace: Trend: +0:00 / km Comparable races: 0 Fallback calculation from other run distances Ergebnis Lauf: 40:06 () Error: / 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 / 10	Iveta Feireislova CZE	+73 s +70 s	G0 / G3	Show details Prediction details: Iveta Feireislova Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 10 Deviation: -10 Swimming Prognoseabstand: +73 s Time: Pace: Ergebnisabstand: +70 s Fehler: 3.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 3 (5 people) Speed: 0.0 km/h Tempo-Fehler: 0.00 km/h Running and total Run: () Historical basis: Best comparable pace: Trend: +0:00 / km Comparable races: 0 Fallback calculation from other run distances Ergebnis Lauf: 41:24 () Error: / 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 / 11	Vera Vilaca POR	+14 s +2 s	G0 / G1	Show details Prediction details: Vera Vilaca Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 11 Deviation: -11 Swimming Prognoseabstand: +14 s Time: Pace: Ergebnisabstand: +2 s Fehler: 12.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 1 (8 people) Speed: 0.0 km/h Tempo-Fehler: 0.00 km/h Running and total Run: () Historical basis: Best comparable pace: Trend: +0:00 / km Comparable races: 0 Fallback calculation from other run distances Ergebnis Lauf: 45:05 () Error: / 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 / 12	Carmen Gomez Cortes ESP	+40 s +85 s	G0 / G3	Show details Prediction details: Carmen Gomez Cortes Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 12 Deviation: -12 Swimming Prognoseabstand: +40 s Time: Pace: 1:22 / 100 m Ergebnisabstand: +85 s Fehler: -45.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 3 (5 people) Speed: 0.0 km/h Tempo-Fehler: 0.00 km/h Running and total Run: () Historical basis: Best comparable pace: Trend: +0:00 / km Comparable races: 0 Fallback calculation from other run distances Ergebnis Lauf: 41:56 () Error: / 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 / 13	Alissa Konig SUI	+50 s +89 s	G0 / G3	Show details Prediction details: Alissa Konig Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 13 Deviation: -13 Swimming Prognoseabstand: +50 s Time: Pace: Ergebnisabstand: +89 s Fehler: -39.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 3 (5 people) Speed: 0.0 km/h Tempo-Fehler: 0.00 km/h Running and total Run: () Historical basis: Best comparable pace: Trend: +0:00 / km Comparable races: 0 Fallback calculation from other run distances Ergebnis Lauf: 42:10 () Error: / 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 / 14	Gal Rubanenko ISR	+44 s +67 s	G0 / G2	Show details Prediction details: Gal Rubanenko Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 14 Deviation: -14 Swimming Prognoseabstand: +44 s Time: Pace: 1:25 / 100 m Ergebnisabstand: +67 s Fehler: -23.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 2 (3 people) Speed: 0.0 km/h Tempo-Fehler: 0.00 km/h Running and total Run: () Historical basis: Best comparable pace: Trend: +0:00 / km Comparable races: 0 Fallback calculation from other run distances Ergebnis Lauf: 43:19 () Error: / 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 / 15	Alessandra Tamburri ITA	+16 s +28 s	G0 / G5	Show details Prediction details: Alessandra Tamburri Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 15 Deviation: -15 Swimming Prognoseabstand: +16 s Time: Pace: Ergebnisabstand: +28 s Fehler: -12.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 5 (4 people) Speed: 0.0 km/h Tempo-Fehler: 0.00 km/h Running and total Run: () Historical basis: Best comparable pace: Trend: +0:00 / km Comparable races: 0 Fallback calculation from other run distances Ergebnis Lauf: 40:01 () Error: / 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 / 16	Sofiya Pryyma UKR	+38 s +68 s	G0 / G2	Show details Prediction details: Sofiya Pryyma Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 16 Deviation: -16 Swimming Prognoseabstand: +38 s Time: Pace: 1:30 / 100 m Ergebnisabstand: +68 s Fehler: -30.0 s H2H: 2 Gegner:innen, 2 Duelle, Korrektur -0.74 %, Sicherheit 2 % Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 2 (3 people) Speed: 0.0 km/h Tempo-Fehler: 0.00 km/h Running and total Run: () Historical basis: Best comparable pace: Trend: +0:00 / km Comparable races: 0 Fallback calculation from other run distances Ergebnis Lauf: 44:24 () Error: / 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 / 17	Jana Machacova CZE	+51 s +104 s	G0 / G4	Show details Prediction details: Jana Machacova Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 17 Deviation: -17 Swimming Prognoseabstand: +51 s Time: Pace: Ergebnisabstand: +104 s Fehler: -53.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 4 (1 people) Speed: 0.0 km/h Tempo-Fehler: 0.00 km/h Running and total Run: () Historical basis: Best comparable pace: Trend: +0:00 / km Comparable races: 0 Fallback calculation from other run distances Ergebnis Lauf: 41:58 () Error: / 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 / 18	Klaudia Sebők HUN	+48 s +97 s	G0 / G6	Show details Prediction details: Klaudia Sebők Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 18 Deviation: -18 Swimming Prognoseabstand: +48 s Time: Pace: 1:25 / 100 m Ergebnisabstand: +97 s Fehler: -49.0 s H2H: 1 Gegner:innen, 1 Duelle, Korrektur 0.00 %, Sicherheit 1 % Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 6 (4 people) Speed: 0.0 km/h Tempo-Fehler: 0.00 km/h Running and total Run: () Historical basis: Best comparable pace: Trend: +0:00 / km Comparable races: 0 Fallback calculation from other run distances Ergebnis Lauf: 40:50 () Error: / 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 / 19	Kiara Lenaertz BEL	+47 s +87 s	G0 / G5	Show details Prediction details: Kiara Lenaertz Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 19 Deviation: -19 Swimming Prognoseabstand: +47 s Time: Pace: Ergebnisabstand: +87 s Fehler: -40.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 5 (4 people) Speed: 0.0 km/h Tempo-Fehler: 0.00 km/h Running and total Run: () Historical basis: Best comparable pace: Trend: +0:00 / km Comparable races: 0 Fallback calculation from other run distances Ergebnis Lauf: 42:43 () Error: / 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 / 20	Noam Fishman ISR	+40 s +33 s	G0 / G3	Show details Prediction details: Noam Fishman Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 20 Deviation: -20 Swimming Prognoseabstand: +40 s Time: Pace: Ergebnisabstand: +33 s Fehler: 7.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 3 (5 people) Speed: 0.0 km/h Tempo-Fehler: 0.00 km/h Running and total Run: () Historical basis: Best comparable pace: Trend: +0:00 / km Comparable races: 0 Fallback calculation from other run distances Ergebnis Lauf: 46:34 () Error: / 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 / 21	Tamara Maksiyanova RUS	+51 s +78 s	G0 / G5	Show details Prediction details: Tamara Maksiyanova Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 21 Deviation: -21 Swimming Prognoseabstand: +51 s Time: Pace: 1:29 / 100 m Ergebnisabstand: +78 s Fehler: -27.0 s H2H: 1 Gegner:innen, 1 Duelle, Korrektur 0.00 %, Sicherheit 1 % Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 5 (4 people) Speed: 0.0 km/h Tempo-Fehler: 0.00 km/h Running and total Run: () Historical basis: Best comparable pace: Trend: +0:00 / km Comparable races: 0 Fallback calculation from other run distances Ergebnis Lauf: 44:31 () Error: / 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 / 22	Raz Poradosu ISR	+27 s +34 s	G0 / G5	Show details Prediction details: Raz Poradosu Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 22 Deviation: -22 Swimming Prognoseabstand: +27 s Time: Pace: Ergebnisabstand: +34 s Fehler: -7.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 5 (4 people) Speed: 0.0 km/h Tempo-Fehler: 0.00 km/h Running and total Run: () Historical basis: Best comparable pace: Trend: +0:00 / km Comparable races: 0 Fallback calculation from other run distances Ergebnis Lauf: 46:53 () Error: / 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 / 23	Maryna Sokolova UKR	+38 s +69 s	G0 / G6	Show details Prediction details: Maryna Sokolova Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 23 Deviation: -23 Swimming Prognoseabstand: +38 s Time: Pace: 1:21 / 100 m Ergebnisabstand: +69 s Fehler: -31.0 s H2H: 1 Gegner:innen, 1 Duelle, Korrektur 2.07 %, Sicherheit 1 % Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 6 (4 people) Speed: 0.0 km/h Tempo-Fehler: 0.00 km/h Running and total Run: () Historical basis: Best comparable pace: Trend: +0:00 / km Comparable races: 0 Fallback calculation from other run distances Ergebnis Lauf: 49:11 () Error: / 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.

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