Prediction comparison

Elite Women

01.04.2017 Quarteira POR

Race information and calculation basis

2017 Quarteira ETU Triathlon European Cup

Datengrundlage: maximal zwölf Starts je Athlet:in, die zeitlich strikt vor 01.04.2017 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 47.2 % · 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 error18.5

Mean swim error24.3 s

Correct bike groups0/0

No history0

Place Prediction / result	Athlete	Swimming Prediction / result	Bike group Prediction / result	Details
0 / 1	Sophie Evans GBR	+3 s +2 s	G0 / G1	Show details Prediction details: Sophie Evans Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 1 Deviation: -1 Swimming Prognoseabstand: +3 s Time: Pace: 1:19 / 100 m Ergebnisabstand: +2 s Fehler: 1.0 s H2H: 2 Gegner:innen, 3 Duelle, Korrektur -0.47 %, Sicherheit 4 % Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 1 (13 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: 35:55 () 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	Georgia Taylor-Brown GBR	+19 s +17 s	G0 / G1	Show details Prediction details: Georgia Taylor-Brown Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 2 Deviation: -2 Swimming Prognoseabstand: +19 s Time: Pace: Ergebnisabstand: +17 s Fehler: 2.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 1 (13 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: 36:27 () 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	Anastasia Abrosimova RUS	+3 s +3 s	G0 / G1	Show details Prediction details: Anastasia Abrosimova Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 3 Deviation: -3 Swimming Prognoseabstand: +3 s Time: Pace: 1:14 / 100 m Ergebnisabstand: +3 s Fehler: 0.0 s H2H: 7 Gegner:innen, 18 Duelle, Korrektur 0.09 %, Sicherheit 25 % Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 1 (13 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: 37:05 () 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	Anna Godoy Contreras ESP	+23 s +7 s	G0 / G1	Show details Prediction details: Anna Godoy Contreras Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 4 Deviation: -4 Swimming Prognoseabstand: +23 s Time: Pace: 1:17 / 100 m Ergebnisabstand: +7 s Fehler: 16.0 s H2H: 11 Gegner:innen, 21 Duelle, Korrektur -0.10 %, Sicherheit 35 % Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 1 (13 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: 37:32 () 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	Michelle Flipo MEX	+26 s +11 s	G0 / G1	Show details Prediction details: Michelle Flipo Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 5 Deviation: -5 Swimming Prognoseabstand: +26 s Time: Pace: 1:21 / 100 m Ergebnisabstand: +11 s Fehler: 15.0 s H2H: 10 Gegner:innen, 17 Duelle, Korrektur -0.18 %, Sicherheit 33 % Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 1 (13 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: 37:33 () 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	Sara Papais ITA	+31 s +22 s	G0 / G1	Show details Prediction details: Sara Papais Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 6 Deviation: -6 Swimming Prognoseabstand: +31 s Time: Pace: 1:13 / 100 m Ergebnisabstand: +22 s Fehler: 9.0 s H2H: 3 Gegner:innen, 3 Duelle, Korrektur 0.51 %, Sicherheit 6 % Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 1 (13 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: 37:50 () 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 / 7	Justine Guerard FRA	+48 s +20 s	G0 / G1	Show details Prediction details: Justine Guerard Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 7 Deviation: -7 Swimming Prognoseabstand: +48 s Time: Pace: 1:20 / 100 m Ergebnisabstand: +20 s Fehler: 28.0 s H2H: 5 Gegner:innen, 5 Duelle, Korrektur 0.06 %, Sicherheit 11 % Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 1 (13 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: 38:04 () 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 / 8	Melanie Santos POR	+27 s +0 s	G0 / G1	Show details Prediction details: Melanie Santos Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 8 Deviation: -8 Swimming Prognoseabstand: +27 s Time: Pace: 1:14 / 100 m Ergebnisabstand: +0 s Fehler: 27.0 s H2H: 6 Gegner:innen, 10 Duelle, Korrektur 0.42 %, Sicherheit 13 % Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 1 (13 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: 38:15 () 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	Mathilde Gautier FRA	+61 s +18 s	G0 / G1	Show details Prediction details: Mathilde Gautier Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 9 Deviation: -9 Swimming Prognoseabstand: +61 s Time: Pace: Ergebnisabstand: +18 s Fehler: 43.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 1 (13 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: 39:13 () Error: / 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.
0 / 10	Ilaria Zane ITA	+31 s +19 s	G0 / G1	Show details Prediction details: Ilaria Zane Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 10 Deviation: -10 Swimming Prognoseabstand: +31 s Time: Pace: 1:20 / 100 m Ergebnisabstand: +19 s Fehler: 12.0 s H2H: 5 Gegner:innen, 10 Duelle, Korrektur -0.24 %, Sicherheit 22 % Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 1 (13 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: 39:24 () 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 / 11	Ekaterina Matiukh RUS	+44 s +16 s	G0 / G1	Show details Prediction details: Ekaterina Matiukh Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 11 Deviation: -11 Swimming Prognoseabstand: +44 s Time: Pace: Ergebnisabstand: +16 s Fehler: 28.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 1 (13 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: 39:49 () 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 / 12	Jenny Manners GBR	+2 s +18 s	G0 / G1	Show details Prediction details: Jenny Manners Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 12 Deviation: -12 Swimming Prognoseabstand: +2 s Time: Pace: 1:18 / 100 m Ergebnisabstand: +18 s Fehler: -16.0 s H2H: 6 Gegner:innen, 6 Duelle, Korrektur 0.10 %, Sicherheit 12 % Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 1 (13 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: 40:53 () 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 / 13	Vanessa Fernandes POR	+105 s +72 s	G0 / G3	Show details Prediction details: Vanessa Fernandes Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 13 Deviation: -13 Swimming Prognoseabstand: +105 s Time: Pace: Ergebnisabstand: +72 s Fehler: 33.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 3 (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: 37:50 () Error: / 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 / 14	Sandra Dodet FRA	+33 s	Bike DNF	Show details Prediction details: Sandra Dodet Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 14 Deviation: -14 Swimming Prognoseabstand: +33 s Time: Pace: 1:19 / 100 m H2H: 11 Gegner:innen, 18 Duelle, Korrektur -0.06 %, Sicherheit 34 % Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Bike split not completed Running and total Run: () Historical basis: Best comparable pace: Trend: +0:00 / km Comparable races: 0 Fallback calculation from other run distances Ergebnis Lauf: () 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	Margot Garabedian CAM	+25 s +9 s	G0 / G2	Show details Prediction details: Margot Garabedian Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 15 Deviation: -15 Swimming Prognoseabstand: +25 s Time: Pace: 1:18 / 100 m Ergebnisabstand: +9 s Fehler: 16.0 s H2H: 8 Gegner:innen, 16 Duelle, Korrektur 0.13 %, Sicherheit 28 % Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 2 (16 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: 38:24 () 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 / 16	Kaidi Kivioja EST	+65 s +84 s	G0 / G2	Show details Prediction details: Kaidi Kivioja Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 16 Deviation: -16 Swimming Prognoseabstand: +65 s Time: Pace: 1:22 / 100 m Ergebnisabstand: +84 s Fehler: -19.0 s H2H: 5 Gegner:innen, 10 Duelle, Korrektur 0.36 %, Sicherheit 13 % Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 2 (16 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: 38:43 () 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 / 17	Emilie Morier FRA	+27 s +74 s	G0 / G2	Show details Prediction details: Emilie Morier Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 17 Deviation: -17 Swimming Prognoseabstand: +27 s Time: Pace: 1:21 / 100 m Ergebnisabstand: +74 s Fehler: -47.0 s H2H: 7 Gegner:innen, 7 Duelle, Korrektur -0.18 %, Sicherheit 16 % Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 2 (16 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: 39:18 () 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	Yuliya Golofeeva RUS	+51 s +90 s	G0 / G4	Show details Prediction details: Yuliya Golofeeva Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 18 Deviation: -18 Swimming Prognoseabstand: +51 s Time: Pace: 1:24 / 100 m Ergebnisabstand: +90 s Fehler: -39.0 s H2H: 2 Gegner:innen, 2 Duelle, Korrektur -0.27 %, Sicherheit 5 % Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 4 (2 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: 37:29 () Error: / Overall prediction: Data basis: 10 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	Andreia Ferrum POR	+65 s +17 s	G0 / G1	Show details Prediction details: Andreia Ferrum Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 19 Deviation: -19 Swimming Prognoseabstand: +65 s Time: Pace: 1:17 / 100 m Ergebnisabstand: +17 s Fehler: 48.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 1 (13 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: 42:58 () 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 / 20	Magdalena Mielnik POL	+51 s +28 s	G0 / G2	Show details Prediction details: Magdalena Mielnik Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 20 Deviation: -20 Swimming Prognoseabstand: +51 s Time: Pace: 1:20 / 100 m Ergebnisabstand: +28 s Fehler: 23.0 s H2H: 5 Gegner:innen, 5 Duelle, Korrektur 0.06 %, Sicherheit 11 % Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 2 (16 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: 40:00 () 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	Daryna Moskalenko UKR	+16 s +73 s	G0 / G2	Show details Prediction details: Daryna Moskalenko Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 21 Deviation: -21 Swimming Prognoseabstand: +16 s Time: Pace: Ergebnisabstand: +73 s Fehler: -57.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 2 (16 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: 40:44 () 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 / 22	Luisa Iogna-Prat ITA	+46 s +72 s	G0 / G2	Show details Prediction details: Luisa Iogna-Prat Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 22 Deviation: -22 Swimming Prognoseabstand: +46 s Time: Pace: Ergebnisabstand: +72 s Fehler: -26.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 2 (16 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: 40:47 () 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	Marion Kim Mangrobang PHI	+39 s +73 s	G0 / G2	Show details Prediction details: Marion Kim Mangrobang Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 23 Deviation: -23 Swimming Prognoseabstand: +39 s Time: Pace: Ergebnisabstand: +73 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 (16 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: 41:18 () 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 / 24	Sinem Francisca Tous Servera TUR	+43 s +24 s	G0 / G2	Show details Prediction details: Sinem Francisca Tous Servera Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 24 Deviation: -24 Swimming Prognoseabstand: +43 s Time: Pace: Ergebnisabstand: +24 s Fehler: 19.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 2 (16 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: 41:25 () Error: / 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.
0 / 25	Estelle Perriard SUI	+62 s +72 s	G0 / G2	Show details Prediction details: Estelle Perriard Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 25 Deviation: -25 Swimming Prognoseabstand: +62 s Time: Pace: Ergebnisabstand: +72 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 2 (16 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: 41:48 () 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 / 26	Zoe Thomas GBR	+38 s +22 s	G0 / G2	Show details Prediction details: Zoe Thomas Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 26 Deviation: -26 Swimming Prognoseabstand: +38 s Time: Pace: Ergebnisabstand: +22 s Fehler: 16.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 2 (16 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: 42:35 () 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 / 27	Liliana Alexandre POR	+64 s	Bike DNF	Show details Prediction details: Liliana Alexandre Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 27 Deviation: -27 Swimming Prognoseabstand: +64 s Time: Pace: 1:25 / 100 m Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Bike split not completed Running and total Run: () Historical basis: Best comparable pace: Trend: +0:00 / km Comparable races: 0 Fallback calculation from other run distances Ergebnis Lauf: () Error: / 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 / 28	Fenella Langridge GBR	+25 s +23 s	G0 / G2	Show details Prediction details: Fenella Langridge Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 28 Deviation: -28 Swimming Prognoseabstand: +25 s Time: Pace: 1:20 / 100 m Ergebnisabstand: +23 s Fehler: 2.0 s H2H: 5 Gegner:innen, 5 Duelle, Korrektur 0.06 %, Sicherheit 11 % Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 2 (16 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: 44:02 () Error: / 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 / 29	Katrin Zaitseva EST	+45 s +80 s	G0 / G2	Show details Prediction details: Katrin Zaitseva Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 29 Deviation: -29 Swimming Prognoseabstand: +45 s Time: Pace: Ergebnisabstand: +80 s Fehler: -35.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 2 (16 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: 44:14 () Error: / 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 / 30	Kim Kilgroe PHI	+155 s +91 s	G0 / G4	Show details Prediction details: Kim Kilgroe Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 30 Deviation: -30 Swimming Prognoseabstand: +155 s Time: Pace: Ergebnisabstand: +91 s Fehler: 64.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 4 (2 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: 43:02 () Error: / 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.
0 / 31	Helena Carvalho POR	+21 s +20 s	G0 / G2	Show details Prediction details: Helena Carvalho Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 31 Deviation: -31 Swimming Prognoseabstand: +21 s Time: Pace: Ergebnisabstand: +20 s Fehler: 1.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 2 (16 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: 45:20 () Error: / 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 / 32	Megan McDonald GBR	+5 s +72 s	G0 / G2	Show details Prediction details: Megan McDonald Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 32 Deviation: -32 Swimming Prognoseabstand: +5 s Time: Pace: Ergebnisabstand: +72 s Fehler: -67.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 2 (16 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: 45:30 () Error: / Overall prediction: Data basis: 10 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 / 33	Noam Fishman ISR	+49 s +90 s	G0 / G2	Show details Prediction details: Noam Fishman Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 33 Deviation: -33 Swimming Prognoseabstand: +49 s Time: Pace: Ergebnisabstand: +90 s Fehler: -41.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 2 (16 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: 45:32 () Error: / Overall prediction: Data basis: 10 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 / 34	Ana Ramos POR	+76 s +73 s	G0 / G2	Show details Prediction details: Ana Ramos Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 34 Deviation: -34 Swimming Prognoseabstand: +76 s Time: Pace: 1:18 / 100 m Ergebnisabstand: +73 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 2 (16 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: 48:15 () 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 / 35	Meritxell Velasco ESP	+113 s +100 s	G0 / G5	Show details Prediction details: Meritxell Velasco Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 35 Deviation: -35 Swimming Prognoseabstand: +113 s Time: Pace: Ergebnisabstand: +100 s Fehler: 13.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 5 (2 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: 42:29 () Error: / 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 / 36	Anna Flaquer ESP	+68 s +83 s	G0 / G5	Show details Prediction details: Anna Flaquer Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 36 Deviation: -36 Swimming Prognoseabstand: +68 s Time: Pace: 1:21 / 100 m Ergebnisabstand: +83 s Fehler: -15.0 s H2H: 2 Gegner:innen, 2 Duelle, Korrektur 0.23 %, Sicherheit 5 % Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 5 (2 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: 45:07 () 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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