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Prediction comparison

Final Junior Men

06.07.2025 Tiszaujvaros HUN
Race information and calculation basis
2025 Europe Triathlon Junior Cup Tiszaujvaros

Datengrundlage: maximal zwölf Starts je Athlet:in, die zeitlich strikt vor 06.07.2025 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 100.0 % · 0 Kalibrierungsrennen

Prediction comparison

Summary of prediction errors
Mean place error15.5
Mean swim error5.5 s
Correct bike groups0/0
No history0
Details
0 / 1 Jack Woodberry
AUS
+36 s
+32 s
G0 / G1
Show details
Prediction details: Jack Woodberry

Placement

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

Swimming

Prognoseabstand: +36 s
Time:
Pace: 1:19 / 100 m
Ergebnisabstand: +32 s
Fehler: 4.0 s
H2H: 13 Gegner:innen, 16 Duelle, Korrektur 0.20 %, Sicherheit 51 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (26 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: 10:41 ()
Error: /
Overall prediction:
Data basis: 12 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 / 2 Zalán Trungel-Nagy
HUN
+12 s
+9 s
G0 / G1
Show details
Prediction details: Zalán Trungel-Nagy

Placement

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

Swimming

Prognoseabstand: +12 s
Time:
Pace: 1:16 / 100 m
Ergebnisabstand: +9 s
Fehler: 3.0 s
H2H: 25 Gegner:innen, 116 Duelle, Korrektur -0.18 %, Sicherheit 100 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (26 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: 10:46 ()
Error: /
Overall prediction:
Data basis: 12 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 Zsombor Holba
HUN
+21 s
+13 s
G0 / G1
Show details
Prediction details: Zsombor Holba

Placement

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

Swimming

Prognoseabstand: +21 s
Time:
Pace: 1:16 / 100 m
Ergebnisabstand: +13 s
Fehler: 8.0 s
H2H: 24 Gegner:innen, 89 Duelle, Korrektur 0.25 %, Sicherheit 100 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (26 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: 10:41 ()
Error: /
Overall prediction:
Data basis: 12 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 / 4 Dániel Németh
HUN
+37 s
+16 s
G0 / G1
Show details
Prediction details: Dániel Németh

Placement

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

Swimming

Prognoseabstand: +37 s
Time:
Pace: 1:17 / 100 m
Ergebnisabstand: +16 s
Fehler: 21.0 s
H2H: 21 Gegner:innen, 77 Duelle, Korrektur 0.17 %, Sicherheit 100 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (26 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: 10:56 ()
Error: /
Overall prediction:
Data basis: 12 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 / 5 Jakub Mittner
CZE
+5 s
+0 s
G0 / G1
Show details
Prediction details: Jakub Mittner

Placement

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

Swimming

Prognoseabstand: +5 s
Time:
Pace: 1:17 / 100 m
Ergebnisabstand: +0 s
Fehler: 5.0 s
H2H: 23 Gegner:innen, 45 Duelle, Korrektur -0.68 %, Sicherheit 84 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (26 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: 10:55 ()
Error: /
Overall prediction:
Data basis: 12 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 / 6 Daniel Ubilla Sabada
CHI
+15 s
+14 s
G0 / G1
Show details
Prediction details: Daniel Ubilla Sabada

Placement

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

Swimming

Prognoseabstand: +15 s
Time:
Pace: 1:16 / 100 m
Ergebnisabstand: +14 s
Fehler: 1.0 s
H2H: 14 Gegner:innen, 20 Duelle, Korrektur 0.34 %, Sicherheit 54 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (26 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: 10:59 ()
Error: /
Overall prediction:
Data basis: 12 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 / 7 András Szűcs
HUN
+13 s
+9 s
G0 / G1
Show details
Prediction details: András Szűcs

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 7
Deviation: -7

Swimming

Prognoseabstand: +13 s
Time:
Pace: 1:15 / 100 m
Ergebnisabstand: +9 s
Fehler: 4.0 s
H2H: 27 Gegner:innen, 121 Duelle, Korrektur 0.25 %, Sicherheit 100 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (26 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: 11:04 ()
Error: /
Overall prediction:
Data basis: 12 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 / 8 Sebastian Ziekman
LUX
+7 s
+7 s
G0 / G1
Show details
Prediction details: Sebastian Ziekman

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 8
Deviation: -8

Swimming

Prognoseabstand: +7 s
Time:
Pace: 1:14 / 100 m
Ergebnisabstand: +7 s
Fehler: 0.0 s
H2H: 13 Gegner:innen, 26 Duelle, Korrektur 0.56 %, Sicherheit 65 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (26 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: 11:09 ()
Error: /
Overall prediction:
Data basis: 7 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 / 9 Pablo Joel Calderon Garcia
MEX
+26 s
+12 s
G0 / G1
Show details
Prediction details: Pablo Joel Calderon Garcia

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 9
Deviation: -9

Swimming

Prognoseabstand: +26 s
Time:
Pace: 1:17 / 100 m
Ergebnisabstand: +12 s
Fehler: 14.0 s
H2H: 20 Gegner:innen, 35 Duelle, Korrektur -0.04 %, Sicherheit 70 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (26 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: 11:11 ()
Error: /
Overall prediction:
Data basis: 12 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 / 10 Jakub Marik
CZE
+40 s
+43 s
G0 / G1
Show details
Prediction details: Jakub Marik

Placement

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

Swimming

Prognoseabstand: +40 s
Time:
Pace: 1:26 / 100 m
Ergebnisabstand: +43 s
Fehler: -3.0 s
H2H: 20 Gegner:innen, 37 Duelle, Korrektur -0.56 %, Sicherheit 94 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (26 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: 11:08 ()
Error: /
Overall prediction:
Data basis: 7 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 / 11 Sebestyén Pál Kendeh-Kirchknopf
HUN
+15 s
+5 s
G0 / G1
Show details
Prediction details: Sebestyén Pál Kendeh-Kirchknopf

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 11
Deviation: -11

Swimming

Prognoseabstand: +15 s
Time:
Pace: 1:16 / 100 m
Ergebnisabstand: +5 s
Fehler: 10.0 s
H2H: 24 Gegner:innen, 86 Duelle, Korrektur -0.21 %, Sicherheit 100 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (26 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: 11:17 ()
Error: /
Overall prediction:
Data basis: 12 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 / 12 Sebastian Zurob
CHI
+15 s
+22 s
G0 / G1
Show details
Prediction details: Sebastian Zurob

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 12
Deviation: -12

Swimming

Prognoseabstand: +15 s
Time:
Pace: 1:21 / 100 m
Ergebnisabstand: +22 s
Fehler: -7.0 s
H2H: 14 Gegner:innen, 19 Duelle, Korrektur -1.03 %, Sicherheit 59 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (26 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: 11:21 ()
Error: /
Overall prediction:
Data basis: 10 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 / 13 Finnley Oliver
NZL
+8 s
+10 s
G0 / G1
Show details
Prediction details: Finnley Oliver

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 13
Deviation: -13

Swimming

Prognoseabstand: +8 s
Time:
Pace: 1:13 / 100 m
Ergebnisabstand: +10 s
Fehler: -2.0 s
H2H: 17 Gegner:innen, 20 Duelle, Korrektur 0.59 %, Sicherheit 59 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (26 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: 11:26 ()
Error: /
Overall prediction:
Data basis: 12 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 / 14 Konrád Székely
HUN
+20 s
+20 s
G0 / G1
Show details
Prediction details: Konrád Székely

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 14
Deviation: -14

Swimming

Prognoseabstand: +20 s
Time:
Pace: 1:16 / 100 m
Ergebnisabstand: +20 s
Fehler: 0.0 s
H2H: 26 Gegner:innen, 97 Duelle, Korrektur -0.03 %, Sicherheit 100 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (26 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: 11:37 ()
Error: /
Overall prediction:
Data basis: 12 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 / 15 Zsombor Jakab
HUN
+33 s
+33 s
G0 / G1
Show details
Prediction details: Zsombor Jakab

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 15
Deviation: -15

Swimming

Prognoseabstand: +33 s
Time:
Pace: 1:26 / 100 m
Ergebnisabstand: +33 s
Fehler: 0.0 s
H2H: 24 Gegner:innen, 64 Duelle, Korrektur -0.85 %, Sicherheit 100 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (26 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: 11:32 ()
Error: /
Overall prediction:
Data basis: 12 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 / 16 Szabolcs Mihály
HUN
+24 s
+16 s
G0 / G1
Show details
Prediction details: Szabolcs Mihály

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 16
Deviation: -16

Swimming

Prognoseabstand: +24 s
Time:
Pace: 1:16 / 100 m
Ergebnisabstand: +16 s
Fehler: 8.0 s
H2H: 26 Gegner:innen, 120 Duelle, Korrektur 0.33 %, Sicherheit 100 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (26 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: 11:40 ()
Error: /
Overall prediction:
Data basis: 12 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 / 17 Lehel Hóbor
HUN
+3 s
+2 s
G0 / G1
Show details
Prediction details: Lehel Hóbor

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 17
Deviation: -17

Swimming

Prognoseabstand: +3 s
Time:
Pace: 1:13 / 100 m
Ergebnisabstand: +2 s
Fehler: 1.0 s
H2H: 24 Gegner:innen, 98 Duelle, Korrektur 0.16 %, Sicherheit 100 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (26 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: 11:46 ()
Error: /
Overall prediction:
Data basis: 12 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 / 18 Mihály Márton Szabó
HUN
+32 s
+36 s
G0 / G1
Show details
Prediction details: Mihály Márton Szabó

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 18
Deviation: -18

Swimming

Prognoseabstand: +32 s
Time:
Pace: 1:18 / 100 m
Ergebnisabstand: +36 s
Fehler: -4.0 s
H2H: 23 Gegner:innen, 77 Duelle, Korrektur 0.42 %, Sicherheit 100 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (26 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: 11:42 ()
Error: /
Overall prediction:
Data basis: 12 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 / 19 Dominik Ivančík
SVK
+27 s
+29 s
G0 / G1
Show details
Prediction details: Dominik Ivančík

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 19
Deviation: -19

Swimming

Prognoseabstand: +27 s
Time:
Pace: 1:24 / 100 m
Ergebnisabstand: +29 s
Fehler: -2.0 s
H2H: 23 Gegner:innen, 63 Duelle, Korrektur -1.28 %, Sicherheit 100 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (26 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: 11:45 ()
Error: /
Overall prediction:
Data basis: 12 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 / 20 Liran Pelzman
ISR
+32 s
+21 s
G0 / G1
Show details
Prediction details: Liran Pelzman

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 20
Deviation: -20

Swimming

Prognoseabstand: +32 s
Time:
Pace: 1:18 / 100 m
Ergebnisabstand: +21 s
Fehler: 11.0 s
H2H: 16 Gegner:innen, 19 Duelle, Korrektur 0.47 %, Sicherheit 56 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (26 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: 11:52 ()
Error: /
Overall prediction:
Data basis: 6 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 / 21 András Deli
HUN
+13 s
+13 s
G0 / G2
Show details
Prediction details: András Deli

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 21
Deviation: -21

Swimming

Prognoseabstand: +13 s
Time:
Pace: 1:13 / 100 m
Ergebnisabstand: +13 s
Fehler: 0.0 s
H2H: 12 Gegner:innen, 24 Duelle, Korrektur 0.07 %, Sicherheit 93 %

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: 11:38 ()
Error: /
Overall prediction:
Data basis: 4 Races · Confidence 0.80
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 / 22 Barnabás Gáspár
HUN
+45 s
+29 s
G0 / G1
Show details
Prediction details: Barnabás Gáspár

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 22
Deviation: -22

Swimming

Prognoseabstand: +45 s
Time:
Pace: 1:18 / 100 m
Ergebnisabstand: +29 s
Fehler: 16.0 s
H2H: 22 Gegner:innen, 75 Duelle, Korrektur 0.20 %, Sicherheit 100 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (26 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: 11:52 ()
Error: /
Overall prediction:
Data basis: 12 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 / 23 Botond Monostori
HUN
+38 s
+38 s
G0 / G1
Show details
Prediction details: Botond Monostori

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 23
Deviation: -23

Swimming

Prognoseabstand: +38 s
Time:
Pace: 1:22 / 100 m
Ergebnisabstand: +38 s
Fehler: 0.0 s
H2H: 23 Gegner:innen, 53 Duelle, Korrektur -0.44 %, Sicherheit 90 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (26 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: 12:00 ()
Error: /
Overall prediction:
Data basis: 9 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 / 24 Roy Margalioth
ISR
+7 s
+3 s
G0 / G1
Show details
Prediction details: Roy Margalioth

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 24
Deviation: -24

Swimming

Prognoseabstand: +7 s
Time:
Pace: 1:13 / 100 m
Ergebnisabstand: +3 s
Fehler: 4.0 s
H2H: 24 Gegner:innen, 52 Duelle, Korrektur 0.47 %, Sicherheit 100 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (26 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: 12:17 ()
Error: /
Overall prediction:
Data basis: 12 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 / 25 Michael Stiebel
ISR
+4 s
+19 s
G0 / G1
Show details
Prediction details: Michael Stiebel

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 25
Deviation: -25

Swimming

Prognoseabstand: +4 s
Time:
Pace: 1:16 / 100 m
Ergebnisabstand: +19 s
Fehler: -15.0 s
H2H: 21 Gegner:innen, 48 Duelle, Korrektur -0.05 %, Sicherheit 96 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (26 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: 12:15 ()
Error: /
Overall prediction:
Data basis: 12 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 / 26 Noé Krisztián Rácz
HUN
+35 s
+35 s
G0 / G1
Show details
Prediction details: Noé Krisztián Rácz

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 26
Deviation: -26

Swimming

Prognoseabstand: +35 s
Time:
Pace: 1:16 / 100 m
Ergebnisabstand: +35 s
Fehler: 0.0 s
H2H: 15 Gegner:innen, 24 Duelle, Korrektur 0.36 %, Sicherheit 97 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (26 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: 12:22 ()
Error: /
Overall prediction:
Data basis: 4 Races · Confidence 0.80
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 / 27 András Medvegy
HUN
+35 s
+25 s
G0 / G3
Show details
Prediction details: András Medvegy

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 27
Deviation: -27

Swimming

Prognoseabstand: +35 s
Time:
Pace: 1:20 / 100 m
Ergebnisabstand: +25 s
Fehler: 10.0 s
H2H: 24 Gegner:innen, 85 Duelle, Korrektur -0.01 %, Sicherheit 100 %

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: 12:08 ()
Error: /
Overall prediction:
Data basis: 12 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 / 28 Ondrej Plic
CZE
+23 s
+34 s
G0 / G1
Show details
Prediction details: Ondrej Plic

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 28
Deviation: -28

Swimming

Prognoseabstand: +23 s
Time:
Pace: 1:20 / 100 m
Ergebnisabstand: +34 s
Fehler: -11.0 s
H2H: 17 Gegner:innen, 30 Duelle, Korrektur -0.21 %, Sicherheit 67 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 1 (26 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: 12:51 ()
Error: /
Overall prediction:
Data basis: 6 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 / 29 Levente Szabó
HUN
+41 s
+41 s
G0 / G4
Show details
Prediction details: Levente Szabó

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 29
Deviation: -29

Swimming

Prognoseabstand: +41 s
Time:
Pace: 1:20 / 100 m
Ergebnisabstand: +41 s
Fehler: 0.0 s
H2H: 22 Gegner:innen, 65 Duelle, Korrektur -0.12 %, Sicherheit 100 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 4 (2 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: 11:48 ()
Error: /
Overall prediction:
Data basis: 9 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 / 30 Marat Veratsennikau
BLR
+43 s
+44 s
G0 / G4
Show details
Prediction details: Marat Veratsennikau

Placement

Prediction: 0
80% range: –
Top-10 probability: 0 %
Result: 30
Deviation: -30

Swimming

Prognoseabstand: +43 s
Time:
Pace: 1:21 / 100 m
Ergebnisabstand: +44 s
Fehler: -1.0 s
H2H: 11 Gegner:innen, 11 Duelle, Korrektur 0.60 %, Sicherheit 45 %

Cycling

Prediction: Group 0 (0 people)
Gruppe 1: 0 %
Speed: 0.0 km/h
Gap ahead: –
Gap behind: –
Result: Group 4 (2 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: 12:08 ()
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.