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Prediction comparison

30-34 Female AG

16.07.2026 ESP
Race information and calculation basis
2026 Europe Triathlon Cross Duathlon Championships Banyoles

Datengrundlage: maximal zwölf Starts je Athlet:in, die zeitlich strikt vor 16.07.2026 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.

Prediction model used
Modell v14 calibrated
Prediction quality 8/100 sehr niedrig
Show model parameters and data quality

Kalibriert mit 11 früheren Rennen und 66 Athlet:innen. Paarweise Gruppengüte: 0.0 %.

Trainingsdaten ausschließlich vor 16.07.2026.

Einzelabstand ≤ 3 s Gruppenspanne ≤ 10 s Gruppeneffekt 0.45 Max. Vorteil 1.6 km/h

Datenabdeckung 0.0 % · Head-to-Head-Abdeckung 0.0 % · 11 Kalibrierungsrennen

Prediction comparison

Summary of prediction errors
Mean place error1.0
Mean bike-speed error19.99 km/h
Correct bike groups0/0
No history2
Place
Prediction / result		 Athlete Swimming
Prediction / result		 Bike group
Prediction / result		 Run
Prediction / result		 Overall prediction Details
0 / 1 Camille Jobard
FRA
+0 s
G0 / G1
 29:12
27:15
Show details
Prediction details: Camille Jobard

Placement

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

Swimming

Prognoseabstand: +0 s
Time:
Pace: 1:49 / 100 m

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (1 people)
Speed: 20.0 km/h
Tempo-Fehler: -19.99 km/h

Running and total

Run: 29:12 (4:25 / km)
Historical basis: 4:25 / km
Best comparable pace: 4:25 / km
Trend: +0:00 / km
Comparable races: 1
Ergebnis Lauf: 27:15 (8:31 / km)
Error: +1:57 / −4:05 / km
Overall prediction:
Data basis: 1 Races · Confidence 0.20
Swimming: –
To the end of cycling (group time): –
Run: 29:12 (4:25 / 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 Marina Albesa Burgués
ESP
+0 s
G0 / G2
27:11
Show details
Prediction details: Marina Albesa Burgués

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 2
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: –
Result: Group 2 (1 people)
Speed: 17.6 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: 27:11 (8:30 / km)
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 Laura Rigby
GBR
+0 s
G0 / G3
32:53
Show details
Prediction details: Laura Rigby

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: –
Result: Group 3 (1 people)
Speed: 13.9 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: 32:53 (10:17 / km)
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.