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Predicition
Prediction comparison

45-49 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 33/100 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 50.0 % · Head-to-Head-Abdeckung 83.3 % · 11 Kalibrierungsrennen

Prediction comparison

Summary of prediction errors
Mean place error3.5
Mean bike-speed error17.65 km/h
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 Tatiana Sammartano
ITA
+98 s
G0 / G1
30:47
28:49
Show details
Prediction details: Tatiana Sammartano

Placement

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

Swimming

Prognoseabstand: +98 s
Time:
Pace: 1:50 / 100 m
H2H: 4 Gegner:innen, 5 Duelle, Korrektur -0.04 %, Sicherheit 17 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –

Result: Group 1 (1 people)
Speed: 19.7 km/h
Tempo-Fehler: -19.70 km/h

Running and total

Run: 30:47 (4:40 / km)
Historical basis: 4:40 / km
Best comparable pace: 4:40 / km
Trend: +0:00 / km
Comparable races: 2
H2H: 4 Gegner:innen, 5 Duelle, Korrektur -0.03 %, Sicherheit 29 %

Ergebnis Lauf: 28:49 (9:00 / km)
Error: +1:58 / −4:20 / km
Overall prediction:
Data basis: 2 Races · Confidence 0.40
Swimming:
To the end of cycling (group time):
Run: 30:47 (4:40 / 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 Danica Bonello Spiteri
MLT
+0 s
G0 / G2
28:38
26:55
Show details
Prediction details: Danica Bonello Spiteri

Placement

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

Swimming

Prognoseabstand: +0 s
Time:
Pace: 1:40 / 100 m
H2H: 4 Gegner:innen, 4 Duelle, Korrektur 0.14 %, Sicherheit 16 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –

Result: Group 2 (1 people)
Speed: 17.9 km/h
Tempo-Fehler: -17.92 km/h

Running and total

Run: 28:38 (4:20 / km)
Historical basis: 4:20 / km
Best comparable pace: 4:20 / km
Trend: +0:00 / km
Comparable races: 3
H2H: 4 Gegner:innen, 4 Duelle, Korrektur -0.06 %, Sicherheit 30 %

Ergebnis Lauf: 26:55 (8:25 / km)
Error: +1:43 / −4:04 / km
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming:
To the end of cycling (group time):
Run: 28:38 (4:20 / 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 Ana Celia Creus Del Campo
ESP
+145 s
G0 / G3
31:07
30:05
Show details
Prediction details: Ana Celia Creus Del Campo

Placement

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

Swimming

Prognoseabstand: +145 s
Time:
Pace: 1:55 / 100 m
H2H: 4 Gegner:innen, 4 Duelle, Korrektur -0.03 %, Sicherheit 16 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –

Result: Group 3 (1 people)
Speed: 18.6 km/h
Tempo-Fehler: -18.55 km/h

Running and total

Run: 31:07 (4:43 / km)
Historical basis: 4:43 / km
Best comparable pace: 4:43 / km
Trend: +0:00 / km
Comparable races: 1
H2H: 4 Gegner:innen, 4 Duelle, Korrektur -0.06 %, Sicherheit 30 %

Ergebnis Lauf: 30:05 (9:24 / km)
Error: +1:02 / −4:41 / km
Overall prediction:
Data basis: 1 Races · Confidence 0.20
Swimming:
To the end of cycling (group time):
Run: 31:07 (4:43 / 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 / 4 Emma Town
GBR
+0 s
G0 / G4
30:59
27:29
Show details
Prediction details: Emma Town

Placement

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

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 4 (1 people)
Speed: 17.2 km/h
Tempo-Fehler: -17.15 km/h

Running and total

Run: 30:59 (4:42 / km)
Historical basis: 4:42 / km
Best comparable pace: 4:42 / km
Trend: +0:00 / km
Comparable races: 2

Ergebnis Lauf: 27:29 (8:35 / km)
Error: +3:30 / −3:54 / km
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming:
To the end of cycling (group time):
Run: 30:59 (4:42 / 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 / 5 Karina Kaufmann
GBR
+328 s
G0 / G5
35:38
32:04
Show details
Prediction details: Karina Kaufmann

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 5
Deviation: -5

Swimming

Prognoseabstand: +328 s
Time:
Pace: 2:05 / 100 m
H2H: 4 Gegner:innen, 4 Duelle, Korrektur -0.03 %, Sicherheit 16 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –

Result: Group 5 (1 people)
Speed: 16.6 km/h
Tempo-Fehler: -16.62 km/h

Running and total

Run: 35:38 (5:24 / km)
Historical basis: 5:24 / km
Best comparable pace: 5:24 / km
Trend: +0:00 / km
Comparable races: 1
H2H: 4 Gegner:innen, 4 Duelle, Korrektur -0.06 %, Sicherheit 30 %

Ergebnis Lauf: 32:04 (10:01 / km)
Error: +3:34 / −4:37 / km
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming:
To the end of cycling (group time):
Run: 35:38 (5:24 / 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 / 6 Stefanie Annika Wasmundt
GER
+303 s
G0 / G6
37:21
35:48
Show details
Prediction details: Stefanie Annika Wasmundt

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 6
Deviation: -6

Swimming

Prognoseabstand: +303 s
Time:
Pace: 2:11 / 100 m
H2H: 4 Gegner:innen, 5 Duelle, Korrektur -0.02 %, Sicherheit 17 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –

Result: Group 6 (1 people)
Speed: 16.0 km/h
Tempo-Fehler: -15.95 km/h

Running and total

Run: 37:21 (5:40 / km)
Historical basis: 5:45 / km
Best comparable pace: 4:55 / km
Trend: −0:06 / km
Comparable races: 4
H2H: 4 Gegner:innen, 5 Duelle, Korrektur 0.23 %, Sicherheit 29 %

Ergebnis Lauf: 35:48 (11:11 / km)
Error: +1:33 / −5:32 / km
Overall prediction:
Data basis: 12 Races · Confidence 1.00
Swimming:
To the end of cycling (group time):
Run: 37:21 (5:40 / km)
Total: not fully calculable
Target first bike group at the bike finish
Cannot be calculated without a swim distance or historical swim data.