Prediction comparison

Elite Women

03.03.2012 Valsesia, Carcoforo ITA

Race information and calculation basis

2012 Valsesia ETU Winter Triathlon European Championships

Datengrundlage: maximal zwölf Starts je Athlet:in, die zeitlich strikt vor 03.03.2012 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 error5.6

Correct bike groups0/0

No history2

				Details
0 / 1	Helena Karásková CZE	+0 s	G0 / G1	Show details Prediction details: Helena Karásková Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 1 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 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: 27:47 () 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 / 2	Borghild Løvset NOR	+0 s	G0 / G2	Show details Prediction details: Borghild Løvset Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 2 Deviation: -2 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: 29:03 () 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 / 3	Andrea Huser SUI	+0 s	G0 / G3	Show details Prediction details: Andrea Huser Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 3 Deviation: -3 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 (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: 29:18 () 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 / 4	Yuliya Surikova RUS	+0 s	G0 / G4	Show details Prediction details: Yuliya Surikova 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 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: 29:31 () 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 / 5	Simone Steinecker AUT	+0 s	G0 / G5	Show details Prediction details: Simone Steinecker Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 5 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 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: 30:46 () 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 / 6	Tatiana Charochkina RUS	+0 s	G0 / G6	Show details Prediction details: Tatiana Charochkina Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 6 Deviation: -6 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 (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: 31:23 () 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 / 7	Enrica Perico ITA	+0 s	G0 / G8	Show details Prediction details: Enrica Perico Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 7 Deviation: -7 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 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: 32:00 () 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 / 8	Alexandra Borrelly FRA	+0 s	G0 / G7	Show details Prediction details: Alexandra Borrelly 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 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: 31:51 () 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 / 9	Federica Ferrari ITA	+0 s	G0 / G9	Show details Prediction details: Federica Ferrari Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 9 Deviation: -9 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 (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: 34:52 () 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.

Prediction comparison

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