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Predicition
Prediction comparison

PTS2 Men

14.09.2024 Valencia ESP
Race information and calculation basis
2024 ESP Para Triathlon National Championships

Datengrundlage: maximal zwölf Starts je Athlet:in, die zeitlich strikt vor 14.09.2024 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 v15 Default values
Prediction quality 13/100 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 25.0 % · Head-to-Head-Abdeckung 0.0 % · 0 Kalibrierungsrennen

Prediction comparison

Summary of prediction errors
Mean place error2.3
Correct bike groups0/0
No history1
Details
0 / 1 Lionel Morales
ESP
+61 s
Bike DNF 20:59
Show details
Prediction details: Lionel Morales

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 1
Deviation: -1

Swimming

Prognoseabstand: +61 s
Time:
Pace: 1:34 / 100 m

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Bike split not completed

Running and total

Run: 20:59 (4:12 / km)
Historical basis: 4:12 / km
Best comparable pace: 4:04 / km
Trend: +0:00 / km
Comparable races: 3

Ergebnis Lauf: ()
Error: /
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming:
To the end of cycling (group time):
Run: 20:59 (4:12 / km)
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 Javier Vergara Rubio
ESP
+0 s
Bike DNF 28:26
Show details
Prediction details: Javier Vergara Rubio

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 2
Deviation: -2

Swimming

Prognoseabstand: +0 s
Time:
Pace: 1:52 / 100 m

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Bike split not completed

Running and total

Run: 28:26 (5:41 / km)
Historical basis: 5:41 / km
Best comparable pace: 5:41 / km
Trend: +0:00 / km
Comparable races: 1

Ergebnis Lauf: ()
Error: /
Overall prediction:
Data basis: 3 Races · Confidence 0.60
Swimming:
To the end of cycling (group time):
Run: 28:26 (5:41 / km)
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 Oskar Garro Antxia
ESP
+0 s
Bike DNF
Show details
Prediction details: Oskar Garro Antxia

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 3
Deviation:

Swimming

Prognoseabstand: +0 s
Time:
Pace:

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Bike split not completed

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances

Ergebnis Lauf: ()
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 Raul Llamazares
ESP
+261 s
Bike DNF
Show details
Prediction details: Raul Llamazares

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 4
Deviation: -4

Swimming

Prognoseabstand: +261 s
Time:
Pace:

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Bike split not completed

Running and total

Run: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances

Ergebnis Lauf: ()
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.