Prediction comparison

75-79 Female AG Sprint

04.06.2023 Madrid ESP

Race information and calculation basis

2023 Europe Triathlon Championships Madrid

Datengrundlage: maximal zwölf Starts je Athlet:in, die zeitlich strikt vor 04.06.2023 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.

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 error2.5

Mean bike-speed error25.13 km/h

Correct bike groups0/0

No history0

Place Prediction / result	Athlete	Swimming Prediction / result	Bike group Prediction / result	Run Prediction / result	Details
0 / 1	Inge Stettner GER	+0 s	G0 / G1		Show details Prediction details: Inge Stettner Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 1 Deviation: -1 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: 28.7 km/h Tempo-Fehler: -28.69 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: 27:23 () 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 / 2	Mª Consuelo Alonso Alonso ESP	+166 s	G0 / G2		Show details Prediction details: Mª Consuelo Alonso Alonso Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 2 Deviation: -2 Swimming Prognoseabstand: +166 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: 24.2 km/h Tempo-Fehler: -24.17 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: 25:18 () 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 / 3	Anne Fish GBR	+101 s	G0 / G3		Show details Prediction details: Anne Fish Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 3 Deviation: -3 Swimming Prognoseabstand: +101 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: 25.5 km/h Tempo-Fehler: -25.49 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: 31:52 () 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	Jenny Peel GBR	+110 s	G0 / G4	32:06	Show details Prediction details: Jenny Peel Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 4 Deviation: -4 Swimming Prognoseabstand: +110 s Time: Pace: 2:29 / 100 m Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 4 (1 people) Speed: 22.2 km/h Tempo-Fehler: -22.17 km/h Running and total Run: 32:06 (7:37 / km) Historical basis: 7:37 / km Best comparable pace: 7:37 / km Trend: +0:00 / km Comparable races: 1 Ergebnis Lauf: 32:07 () Error: / Overall prediction: Data basis: 10 Races · Confidence 1.00 Swimming: – To the end of cycling (group time): – Run: 32:06 (7:37 / km) 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