Prediction comparison

U23 Women

30.04.2011 El Anillo ESP

Race information and calculation basis

2011 Extremadura ITU Cross Triathlon World Championships

Datengrundlage: maximal zwölf Starts je Athlet:in, die zeitlich strikt vor 30.04.2011 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 error3.0

Mean swim error48.6 s

Correct bike groups0/0

No history0

				Details
0 / 1	Brigitta Poór HUN	+0 s +75 s	G0 / G1	Show details Prediction details: Brigitta Poór Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 1 Deviation: -1 Swimming Prognoseabstand: +0 s Time: Pace: Ergebnisabstand: +75 s Fehler: -75.0 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: 26:03 () 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 / 2	Kairi Schmidt EST	+61 s +0 s	G0 / G2	Show details Prediction details: Kairi Schmidt Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 2 Deviation: -2 Swimming Prognoseabstand: +61 s Time: Pace: Ergebnisabstand: +0 s Fehler: 61.0 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: 26:47 () 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 / 3	Baiba Medne LAT	+278 s +301 s	G0 / G3	Show details Prediction details: Baiba Medne Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 3 Deviation: -3 Swimming Prognoseabstand: +278 s Time: Pace: Ergebnisabstand: +301 s Fehler: -23.0 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: 26:39 () 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 / 4	Helen Schmidt EST	+80 s +53 s	G0 / G4	Show details Prediction details: Helen Schmidt Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 4 Deviation: -4 Swimming Prognoseabstand: +80 s Time: Pace: Ergebnisabstand: +53 s Fehler: 27.0 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: 30:41 () 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 / 5	Tamara Gomez Garrido ESP	+80 s +23 s	G0 / G5	Show details Prediction details: Tamara Gomez Garrido Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 5 Deviation: -5 Swimming Prognoseabstand: +80 s Time: Pace: Ergebnisabstand: +23 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 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: 25:22 () 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.

Prediction comparison

Placement

Swimming

Cycling

Running and total

Placement

Swimming

Cycling

Running and total

Placement

Swimming

Cycling

Running and total

Placement

Swimming

Cycling

Running and total

Placement

Swimming

Cycling

Running and total