Prediction comparison

Elite Women

23.09.2018 Madrid ESP

Race information and calculation basis

2018 Madrid ETU Challenge Long Distance Triathlon European Championships

Datengrundlage: maximal zwölf Starts je Athlet:in, die zeitlich strikt vor 23.09.2018 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 v15 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 error4.8

Mean swim error231.3 s

Correct bike groups0/0

No history3

				Details
0 / 1	Laura Siddall GBR	+54 s +289 s	G0 / G1	Show details Prediction details: Laura Siddall Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 1 Deviation: -1 Swimming Prognoseabstand: +54 s Time: Pace: Ergebnisabstand: +289 s Fehler: -235.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 1 (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: 3:08:15 () 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 / 2	Alexandra Tondeur BEL	+364 s +293 s	G0 / G2	Show details Prediction details: Alexandra Tondeur Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 2 Deviation: -2 Swimming Prognoseabstand: +364 s Time: Pace: Ergebnisabstand: +293 s Fehler: 71.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 2 (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: 3:04:23 () 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	Lisa Roberts USA	+0 s +565 s	G0 / G4	Show details Prediction details: Lisa Roberts Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 3 Deviation: Swimming Prognoseabstand: +0 s Time: Pace: Ergebnisabstand: +565 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 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: 3:02:11 () 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 / 4	Eva Wutti AUT	+222 s +287 s	G0 / G2	Show details Prediction details: Eva Wutti Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 4 Deviation: -4 Swimming Prognoseabstand: +222 s Time: Pace: Ergebnisabstand: +287 s Fehler: -65.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 2 (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: 3:22:47 () 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 / 5	Margie Santimaria ITA	+5 s +0 s	G0 / G3	Show details Prediction details: Margie Santimaria Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 5 Deviation: -5 Swimming Prognoseabstand: +5 s Time: Pace: Ergebnisabstand: +0 s Fehler: 5.0 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: 3:42:02 () 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 / 6	Helena Kotopulu CZE	+0 s +1073 s	G0 / G6	Show details Prediction details: Helena Kotopulu Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 6 Deviation: Swimming Prognoseabstand: +0 s Time: Pace: Ergebnisabstand: +1073 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 6 (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: 3:23:04 () 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 / 7	Silvia Felt-Balbach GER	+0 s +1008 s	G0 / G5	Show details Prediction details: Silvia Felt-Balbach Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 7 Deviation: Swimming Prognoseabstand: +0 s Time: Pace: Ergebnisabstand: +1008 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 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: 3:44:27 () 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 / 8	Miriam Van Reijen NED	+0 s +918 s	G0 / G8	Show details Prediction details: Miriam Van Reijen Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 8 Deviation: -8 Swimming Prognoseabstand: +0 s Time: Pace: Ergebnisabstand: +918 s Fehler: -918.0 s 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: 3:30:25 () 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 / 9	Vanessa Pereira POR	+788 s +694 s	G0 / G7	Show details Prediction details: Vanessa Pereira Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 9 Deviation: -9 Swimming Prognoseabstand: +788 s Time: Pace: Ergebnisabstand: +694 s Fehler: 94.0 s 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: 3:56:03 () 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.

Prediction comparison

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