Prediction comparison

20-24 Male AG

25.09.2022 Agadir MAR

Race information and calculation basis

2022 Africa Triathlon Championships Agadir

Datengrundlage: maximal zwölf Starts je Athlet:in, die zeitlich strikt vor 25.09.2022 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 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 error1.5

Mean swim error106.0 s

Correct bike groups0/0

No history3

				Details
0 / 1	Tamim Jamal Al-Kuwari QAT	+151 s +128 s	G0 / G1	Show details Prediction details: Tamim Jamal Al-Kuwari Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 1 Deviation: -1 Swimming Prognoseabstand: +151 s Time: Pace: Ergebnisabstand: +128 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 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: 35:36 () 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 / 2	Youssef Abououlid MAR	+189 s +0 s	G0 / G2	Show details Prediction details: Youssef Abououlid Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 2 Deviation: -2 Swimming Prognoseabstand: +189 s Time: Pace: Ergebnisabstand: +0 s Fehler: 189.0 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: 39:29 () 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 / 3	Aymen Idrissi El Hassani MAR	+0 s +377 s	G0 / G3	Show details Prediction details: Aymen Idrissi El Hassani Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 3 Deviation: Swimming Prognoseabstand: +0 s Time: Pace: Ergebnisabstand: +377 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: 37:50 () 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	Mohamed El Atrassi MAR	+0 s +340 s	G0 / G5	Show details Prediction details: Mohamed El Atrassi Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 4 Deviation: Swimming Prognoseabstand: +0 s Time: Pace: Ergebnisabstand: +340 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: 39:54 () 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.
0 / 5	Adam Bouaddi MAR	+0 s +15 s	G0 / G4	Show details Prediction details: Adam Bouaddi Placement Prediction: 0 80% range: – Top-10 probability: 0 % Result: 5 Deviation: Swimming Prognoseabstand: +0 s Time: Pace: Ergebnisabstand: +15 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: 47:30 () 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