Prediction comparison

Elite Women

08.02.2020 Asiago ITA

Race information and calculation basis

2020 Asiago ITU Winter Triathlon World Championships

Datengrundlage: maximal zwölf Starts je Athlet:in, die zeitlich strikt vor 08.02.2020 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 0.0 % · 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 error10.1

Correct bike groups0/0

No history6

Place Prediction / result	Athlete	Swimming Prediction / result	Bike group Prediction / result	Details
0 / 1	Daria Rogozina RUS	+409 s	G0 / G1	Show details Prediction details: Daria Rogozina Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 1 Deviation: -1 Swimming Prognoseabstand: +409 s Time: Pace: Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 1 (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: 31:09 () 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	Anna Medvedeva RUS	+0 s	G0 / G3	Show details Prediction details: Anna Medvedeva Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 2 Deviation: Swimming Prognoseabstand: +0 s Time: Pace: Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 3 (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: 30:42 () Error: / 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 / 3	Yuliya Surikova RUS	+403 s	G0 / G1	Show details Prediction details: Yuliya Surikova Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 3 Deviation: -3 Swimming Prognoseabstand: +403 s Time: Pace: Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 1 (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: 31:01 () 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 / 4	Svetlana Sokolova AIN	+0 s	G0 / G2	Show details Prediction details: Svetlana Sokolova Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 4 Deviation: -4 Swimming Prognoseabstand: +0 s Time: Pace: Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 2 (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: 31:09 () Error: / 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 / 5	Sandra Mairhofer ITA	+158 s	G0 / G3	Show details Prediction details: Sandra Mairhofer Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 5 Deviation: -5 Swimming Prognoseabstand: +158 s Time: Pace: Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 3 (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: 31:22 () 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 / 6	Carina Wasle AUT	+106 s	G0 / G3	Show details Prediction details: Carina Wasle Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 6 Deviation: -6 Swimming Prognoseabstand: +106 s Time: Pace: Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 3 (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: 31:40 () 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	Romana Slavinec AUT	+111 s	G0 / G5	Show details Prediction details: Romana Slavinec Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 7 Deviation: -7 Swimming Prognoseabstand: +111 s Time: Pace: Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 5 (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: 32:53 () 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 / 8	Maria Luisa Rasina ROU	+0 s	G0 / G6	Show details Prediction details: Maria Luisa Rasina Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 8 Deviation: -8 Swimming Prognoseabstand: +0 s Time: Pace: Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 6 (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: 31:47 () Error: / 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.
0 / 9	Aneta Grabmuller Soldati CZE	+32 s	G0 / G4	Show details Prediction details: Aneta Grabmuller Soldati Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 9 Deviation: -9 Swimming Prognoseabstand: +32 s Time: Pace: 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: 34:30 () 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	Nadezhda Belkina RUS	+0 s	G0 / G6	Show details Prediction details: Nadezhda Belkina Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 10 Deviation: -10 Swimming Prognoseabstand: +0 s Time: Pace: Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 6 (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: 31:43 () 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 / 11	Marte Katrine Myhre NOR	+0 s	G0 / G7	Show details Prediction details: Marte Katrine Myhre Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 11 Deviation: -11 Swimming Prognoseabstand: +0 s Time: Pace: Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 7 (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: 30:37 () 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 / 12	Marina Ladiashkina RUS	+0 s	G0 / G10	Show details Prediction details: Marina Ladiashkina Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 12 Deviation: -12 Swimming Prognoseabstand: +0 s Time: Pace: Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 10 (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: 33:46 () Error: / 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.
0 / 13	Sanna El Kott Helander SWE	+0 s	G0 / G9	Show details Prediction details: Sanna El Kott Helander Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 13 Deviation: Swimming Prognoseabstand: +0 s Time: Pace: Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 9 (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: 31:36 () Error: / 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 / 14	Valeria Kuznetsova RUS	+0 s	G0 / G12	Show details Prediction details: Valeria Kuznetsova Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 14 Deviation: Swimming Prognoseabstand: +0 s Time: Pace: Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 12 (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: 34:44 () Error: / 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 / 15	Lina El Kott Helander SWE	+0 s	G0 / G9	Show details Prediction details: Lina El Kott Helander Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 15 Deviation: Swimming Prognoseabstand: +0 s Time: Pace: Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 9 (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: 31:33 () Error: / 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 / 16	Gina Bin AUT	+0 s	G0 / G12	Show details Prediction details: Gina Bin Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 16 Deviation: Swimming Prognoseabstand: +0 s Time: Pace: Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 12 (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: 36:32 () Error: / 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 / 17	Lydia Zacikova SVK	+41 s	G0 / G8	Show details Prediction details: Lydia Zacikova Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 17 Deviation: -17 Swimming Prognoseabstand: +41 s Time: Pace: Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 8 (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: 34:57 () 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	Ekaterina Karpova RUS	+0 s	G0 / G13	Show details Prediction details: Ekaterina Karpova Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 18 Deviation: -18 Swimming Prognoseabstand: +0 s Time: Pace: Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 13 (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: 36:09 () Error: / 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 / 19	Pavlina Vargova CZE	+121 s	G0 / G11	Show details Prediction details: Pavlina Vargova Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 19 Deviation: -19 Swimming Prognoseabstand: +121 s Time: Pace: Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 11 (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: 36:32 () 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 / 20	Timea Lorincz ROU	+0 s	G0 / G15	Show details Prediction details: Timea Lorincz Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 20 Deviation: Swimming Prognoseabstand: +0 s Time: Pace: Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 15 (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: 41:54 () Error: / 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 / 21	Anna Swoboda AUT	+136 s	G0 / G14	Show details Prediction details: Anna Swoboda Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 21 Deviation: -21 Swimming Prognoseabstand: +136 s Time: Pace: Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 14 (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: 39:20 () 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.

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