Prediction comparison

60-64 Female AG

14.09.2019 Esplanade 10, ALMERE, The Netherlands NED

Race information and calculation basis

2019 Almere-Amsterdam ETU Challenge Long Distance Triathlon European Championships

Datengrundlage: maximal zwölf Starts je Athlet:in, die zeitlich strikt vor 14.09.2019 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 error1.0

Mean swim error0.0 s

Correct bike groups0/0

No history2

				Details
0 / 1	Gerda Sollie NED	+0 s +0 s	G0 / G1	Show details Prediction details: Gerda Sollie Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 1 Deviation: -1 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 (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: 4:38:46 () 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	Brigitta Commandeur NED	+0 s +713 s	G0 / G2	Show details Prediction details: Brigitta Commandeur Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 2 Deviation: Swimming Prognoseabstand: +0 s Time: Pace: Ergebnisabstand: +713 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 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: 4:40:20 () 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	Ger Wood GBR	+0 s +1616 s	G0 / G3	Show details Prediction details: Ger Wood Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 3 Deviation: Swimming Prognoseabstand: +0 s Time: Pace: Ergebnisabstand: +1616 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 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: 5:51:31 () 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.

Prediction comparison

Placement

Swimming

Cycling

Running and total

Placement

Swimming

Cycling

Running and total

Placement

Swimming

Cycling

Running and total