Prediction comparison

60-64 Female AG

24.09.2022 Bilbao ESP

Race information and calculation basis

2022 Europe Triathlon Middle Distance Triathlon Championships Bilbao - Bizkaia

Datengrundlage: maximal zwölf Starts je Athlet:in, die zeitlich strikt vor 24.09.2022 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 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 error3.3

Mean swim error126.0 s

Correct bike groups0/0

No history4

Place Prediction / result	Athlete	Swimming Prediction / result	Bike group Prediction / result	Details
0 / 1	Kerstin Mogull GBR	+52 s +0 s	G0 / G1	Show details Prediction details: Kerstin Mogull Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 1 Deviation: -1 Swimming Prognoseabstand: +52 s Time: Pace: Ergebnisabstand: +0 s Fehler: 52.0 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: 1:42:30 () 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 / 2	Ros Lawson GBR	+579 s +599 s	G0 / G2	Show details Prediction details: Ros Lawson Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 2 Deviation: -2 Swimming Prognoseabstand: +579 s Time: Pace: Ergebnisabstand: +599 s Fehler: -20.0 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: 1:58:47 () 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.
0 / 3	Dana Hylákova CZE	+265 s +517 s	G0 / G3	Show details Prediction details: Dana Hylákova Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 3 Deviation: -3 Swimming Prognoseabstand: +265 s Time: Pace: Ergebnisabstand: +517 s Fehler: -252.0 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: 1:59:49 () 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	Cheryl Hutchins GBR	+0 s +463 s	G0 / G5	Show details Prediction details: Cheryl Hutchins Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 4 Deviation: Swimming Prognoseabstand: +0 s Time: Pace: Ergebnisabstand: +463 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: 2:06:20 () 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 / 5	Kate Sackett GBR	+0 s +675 s	G0 / G7	Show details Prediction details: Kate Sackett Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 5 Deviation: Swimming Prognoseabstand: +0 s Time: Pace: Ergebnisabstand: +675 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 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: 2:00:17 () 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	Elisa Portoles Navarrete ESP	+0 s +261 s	G0 / G4	Show details Prediction details: Elisa Portoles Navarrete Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 6 Deviation: Swimming Prognoseabstand: +0 s Time: Pace: Ergebnisabstand: +261 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: 2:08:35 () 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	Carol Mathews GBR	+1,116 s +936 s	G0 / G6	Show details Prediction details: Carol Mathews Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 7 Deviation: -7 Swimming Prognoseabstand: +1,116 s Time: Pace: Ergebnisabstand: +936 s Fehler: 180.0 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: 2:05:41 () 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	Elaine Nettleton GBR	+0 s +749 s	G0 / G8	Show details Prediction details: Elaine Nettleton Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 8 Deviation: Swimming Prognoseabstand: +0 s Time: Pace: Ergebnisabstand: +749 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 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: 2:02:54 () 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

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