Prediction comparison
20-24 Female AG
21.07.2018
Tartu
EST
Race information and calculation basis
2018 Tartu ETU Triathlon European Championships
Datengrundlage: maximal zwölf Starts je Athlet:in, die zeitlich strikt vor 21.07.2018 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
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 error3.3
Mean swim error90.7 s
Correct bike groups0/0
No history3
| Details | ||||||
|---|---|---|---|---|---|---|
| 0 / 1 |
Lucy Davies
GBR
|
+0 s
+220 s
|
G0 / G2
|
Show detailsPlacementPrediction: 0
80% range: –
Top-10 probability: 0 %
Result: 1
Deviation:
SwimmingPrognoseabstand: +0 s
Time:
Pace:
Ergebnisabstand: +220 s
Fehler: 0.0 s
CyclingPrediction: 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 totalRun: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 38:04 ()
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 / 2 |
Rosie Weston
GBR
|
+19 s
+32 s
|
G0 / G1
|
Show detailsPlacementPrediction: 0
80% range: –
Top-10 probability: 0 %
Result: 2
Deviation: -2
SwimmingPrognoseabstand: +19 s
Time:
Pace:
Ergebnisabstand: +32 s
Fehler: -13.0 s
CyclingPrediction: 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 totalRun: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 41:21 ()
Error: /
Overall prediction:
Data basis: 5 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 / 3 |
Anna Moitzi
AUT
|
+0 s
+0 s
|
G0 / G3
|
Show detailsPlacementPrediction: 0
80% range: –
Top-10 probability: 0 %
Result: 3
Deviation: -3
SwimmingPrognoseabstand: +0 s
Time:
Pace:
Ergebnisabstand: +0 s
Fehler: 0.0 s
CyclingPrediction: 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 totalRun: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 43:21 ()
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.
|
||
| 0 / 4 |
Mélie Subervie
FRA
|
+0 s
+219 s
|
G0 / G5
|
Show detailsPlacementPrediction: 0
80% range: –
Top-10 probability: 0 %
Result: 4
Deviation:
SwimmingPrognoseabstand: +0 s
Time:
Pace:
Ergebnisabstand: +219 s
Fehler: 0.0 s
CyclingPrediction: 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 totalRun: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 44:50 ()
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 / 5 |
Aveli Tättar
EST
|
+0 s
+259 s
|
G0 / G4
|
Show detailsPlacementPrediction: 0
80% range: –
Top-10 probability: 0 %
Result: 5
Deviation: -5
SwimmingPrognoseabstand: +0 s
Time:
Pace:
Ergebnisabstand: +259 s
Fehler: -259.0 s
CyclingPrediction: 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 totalRun: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 50:27 ()
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 / 6 |
Anjelika Ruggier
MLT
|
+0 s
+104 s
|
G0 / G6
|
Show detailsPlacementPrediction: 0
80% range: –
Top-10 probability: 0 %
Result: 6
Deviation:
SwimmingPrognoseabstand: +0 s
Time:
Pace:
Ergebnisabstand: +104 s
Fehler: 0.0 s
CyclingPrediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead:
–
Gap behind:
–
Result: Group 6 (1 people)
Speed: 0.0 km/h
Tempo-Fehler: 0.00 km/h
Running and totalRun: ()
Historical basis:
Best comparable pace:
Trend: +0:00 / km
Comparable races: 0
Fallback calculation from other run distances
Ergebnis Lauf: 42:07 ()
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.
|