Prediction comparison

Regional Championships Women

07.02.2026 Kompleks Sukan Air Putrajaya Presint 6 MAS

Race information and calculation basis

2026 Asia Triathlon Cup and Southeast Asia Championships Putrajaya

Datengrundlage: maximal zwölf Starts je Athlet:in, die zeitlich strikt vor 07.02.2026 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 100.0 % · 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 error1.5

Mean swim error16.5 s

Correct bike groups0/0

No history0

Place Prediction / result	Athlete	Swimming Prediction / result	Bike group Prediction / result	Run Prediction / result	Overall prediction	Details
0 / 1	Martina Ayu Pratiwi INA	+31 s +9 s	G0 / G1			Show details Prediction details: Martina Ayu Pratiwi Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 1 Deviation: -1 Swimming Prognoseabstand: +31 s Time: Pace: 1:26 / 100 m Ergebnisabstand: +9 s Fehler: 22.0 s H2H: 1 Gegner:innen, 10 Duelle, Korrektur -0.23 %, Sicherheit 11 % 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: 18:57 () 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	Binta Erlen Salsabela INA	+11 s +0 s	G0 / G2			Show details Prediction details: Binta Erlen Salsabela Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 2 Deviation: -2 Swimming Prognoseabstand: +11 s Time: Pace: 1:24 / 100 m Ergebnisabstand: +0 s Fehler: 11.0 s H2H: 1 Gegner:innen, 10 Duelle, Korrektur 0.23 %, Sicherheit 11 % 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: 19:47 () 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.

Prediction comparison

Placement

Swimming

Cycling

Running and total

Placement

Swimming

Cycling

Running and total