Prediction comparison

30-34 Female AG

06.04.2025 Nelson Mandela Bay RSA

Race information and calculation basis

2025 Africa Triathlon Championships Nelson Mandela Bay

Datengrundlage: maximal zwölf Starts je Athlet:in, die zeitlich strikt vor 06.04.2025 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

Correct bike groups0/0

No history5

				Details
0 / 1	Leanda Du Bruyn RSA	+0 s +0 s	G0 / G1	Show details Prediction details: Leanda Du Bruyn Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 1 Deviation: 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: 39:05 () 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	Sandra Cogzell RSA	+0 s +20 s	G0 / G2	Show details Prediction details: Sandra Cogzell Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 2 Deviation: Swimming Prognoseabstand: +0 s Time: Pace: Ergebnisabstand: +20 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: 44:24 () 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	Shannon Kruger RSA	+0 s +6 s	G0 / G3	Show details Prediction details: Shannon Kruger Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 3 Deviation: Swimming Prognoseabstand: +0 s Time: Pace: Ergebnisabstand: +6 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: 46:24 () 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 / 4	Suemari Bezuidenhout RSA	+0 s +24 s	G0 / G4	Show details Prediction details: Suemari Bezuidenhout Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 4 Deviation: Swimming Prognoseabstand: +0 s Time: Pace: Ergebnisabstand: +24 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: 52:29 () 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	Tayla Chin RSA	+0 s +215 s	G0 / G5	Show details Prediction details: Tayla Chin Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 5 Deviation: Swimming Prognoseabstand: +0 s Time: Pace: Ergebnisabstand: +215 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: 50:41 () 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

Placement

Swimming

Cycling

Running and total

Placement

Swimming

Cycling

Running and total