Prediction comparison

Junior Women

13.06.2026 Universiti Tunku Abdul Rahman (UTAR) MAS

Race information and calculation basis

2026 Asia Triathlon Junior Cup Kampar

Datengrundlage: maximal zwölf Starts je Athlet:in, die zeitlich strikt vor 13.06.2026 liegen. Neuere Leistungen und direkte Duelle werden mit einer Halbwertszeit von 300 Tagen stärker gewichtet.

Prediction model used

Modell v14 calibrated

Prediction quality 76/100 mittel

Show model parameters and data quality

Kalibriert mit 52 früheren Rennen und 1074 Athlet:innen. Paarweise Gruppengüte: 42.5 %.

Trainingsdaten ausschließlich vor 13.06.2026.

Einzelabstand ≤ 5 s Gruppenspanne ≤ 22 s Gruppeneffekt 0.85 Max. Vorteil 2.8 km/h

Datenabdeckung 52.6 % · Head-to-Head-Abdeckung 68.4 % · 52 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 error3.1

Mean swim error27.8 s

Mean bike-speed error1.24 km/h

Correct bike groups9/15

No history4

Within the 80% range21.1 %

Place Prediction / result	Athlete	Swimming Prediction / result	Bike group Prediction / result	Run Prediction / result	Overall prediction	Details
1 / 1	Elizaveta Polianskaia RUS	+8 s +0 s	G1 / G1 correct	18:32 19:23	51:57	Show details Prediction details: Elizaveta Polianskaia Placement Prediction: 1 80% range: 2–3 Top-10 probability: 100 % Result: 1 Deviation: 0 Swimming Prognoseabstand: +8 s Time: 11:00 Pace: 1:28 / 100 m Ergebnisabstand: +0 s Fehler: 8.0 s Cycling Prediction: Group 1 (3 people) Gruppe 1: 71 % Speed: 36.1 km/h Gap ahead: 3.0 s Gap behind: 5.0 s Result: Group 1 (4 people) Speed: 35.5 km/h Tempo-Fehler: 0.67 km/h Running and total Run: 18:32 (3:42 / km) Historical basis: 3:42 / km Best comparable pace: 3:36 / km Trend: +0:00 / km Comparable races: 3 Ergebnis Lauf: 19:23 (3:53 / km) Error: −0:51 / −0:10 / km Overall prediction: 51:57 Data basis: 12 Races · Confidence 1.00 Swimming: 11:00 (1:28 / 100 m) To the end of cycling (group time): 33:12 (36.1 km/h) Run: 18:32 (3:42 / km) Total: 51:57
2 / 4	Seoeun Park KOR	+5 s +2 s	G1 / G1 correct	19:44 20:52	53:09	Show details Prediction details: Seoeun Park Placement Prediction: 2 80% range: 2–3 Top-10 probability: 100 % Result: 4 Deviation: -2 Swimming Prognoseabstand: +5 s Time: 10:57 Pace: 1:28 / 100 m Ergebnisabstand: +2 s Fehler: 3.0 s H2H: 9 Gegner:innen, 16 Duelle, Korrektur 0.12 %, Sicherheit 59 % Cycling Prediction: Group 1 (3 people) Gruppe 1: 80 % Speed: 36.1 km/h Gap ahead: – Gap behind: 3.0 s Result: Group 1 (4 people) Speed: 35.4 km/h Tempo-Fehler: 0.71 km/h Running and total Run: 19:44 (3:57 / km) Historical basis: 3:58 / km Best comparable pace: 3:47 / km Trend: +0:00 / km Comparable races: 6 H2H: 9 Gegner:innen, 16 Duelle, Korrektur -0.59 %, Sicherheit 47 % Ergebnis Lauf: 20:52 (4:10 / km) Error: −1:08 / −0:14 / km Overall prediction: 53:09 Data basis: 8 Races · Confidence 1.00 Swimming: 10:57 (1:28 / 100 m) To the end of cycling (group time): 33:12 (36.1 km/h) Run: 19:44 (3:57 / km) Total: 53:09
3 / 3	Anastasiia Romanenko RUS	+13 s +4 s	G1 / G1 correct	21:27 20:13	54:52	Show details Prediction details: Anastasiia Romanenko Placement Prediction: 3 80% range: 4–9 Top-10 probability: 100 % Result: 3 Deviation: 0 Swimming Prognoseabstand: +13 s Time: 11:05 Pace: 1:29 / 100 m Ergebnisabstand: +4 s Fehler: 9.0 s H2H: 1 Gegner:innen, 1 Duelle, Korrektur 0.00 %, Sicherheit 7 % Cycling Prediction: Group 1 (3 people) Gruppe 1: 31 % Speed: 36.1 km/h Gap ahead: 5.0 s Gap behind: 29.3 s Result: Group 1 (4 people) Speed: 35.5 km/h Tempo-Fehler: 0.69 km/h Running and total Run: 21:27 (4:17 / km) Historical basis: 4:17 / km Best comparable pace: 4:17 / km Trend: +0:00 / km Comparable races: 1 H2H: 1 Gegner:innen, 1 Duelle, Korrektur 0.00 %, Sicherheit 7 % Ergebnis Lauf: 20:13 (4:03 / km) Error: +1:14 / +0:15 / km Overall prediction: 54:52 Data basis: 1 Races · Confidence 0.20 Swimming: 11:05 (1:29 / 100 m) To the end of cycling (group time): 33:12 (36.1 km/h) Run: 21:27 (4:17 / km) Total: 54:52
4 / 2	Maurizka Nur Azizah INA	+77 s +6 s	G2 / G1	19:46 19:41	57:36	Show details Prediction details: Maurizka Nur Azizah Placement Prediction: 4 80% range: 4–5 Top-10 probability: 100 % Result: 2 Deviation: 2 Swimming Prognoseabstand: +77 s Time: 12:09 Pace: 1:37 / 100 m Ergebnisabstand: +6 s Fehler: 70.5 s H2H: 9 Gegner:innen, 10 Duelle, Korrektur 0.47 %, Sicherheit 41 % Cycling Prediction: Group 2 (7 people) Gruppe 1: 1 % Speed: 33.4 km/h Initial Gruppe 4, später eingeholt/vereinigt Gap ahead: 10.5 s Gap behind: 5.3 s Result: Group 1 (4 people) Speed: 35.4 km/h Tempo-Fehler: -2.02 km/h Running and total Run: 19:46 (3:57 / km) Historical basis: 3:57 / km Best comparable pace: 3:57 / km Trend: +0:00 / km Comparable races: 1 H2H: 9 Gegner:innen, 10 Duelle, Korrektur -0.06 %, Sicherheit 41 % Ergebnis Lauf: 19:41 (3:56 / km) Error: +0:05 / +0:01 / km Overall prediction: 57:36 Data basis: 4 Races · Confidence 0.80 Swimming: 12:09 (1:37 / 100 m) To the end of cycling (group time): 36:03 (33.4 km/h) Run: 19:46 (3:57 / km) Total: 57:36 Target first bike group at the bike finish Goal: finish the bike split with the first bike group. Estimated requirement: Swim time: 11:10 Pace: 1:29 / 100 m About 58.6 s faster in the swim Maximum predicted gap after the swim: +17.9 s The complete bike-group simulation, including catches and group mergers, is recalculated through the end of the bike split.
5 / 6	Anisha Eunice Caluya PHI	+42 s +65 s	G2 / G2 correct	20:21 20:53	58:11	Show details Prediction details: Anisha Eunice Caluya Placement Prediction: 5 80% range: 5–7 Top-10 probability: 100 % Result: 6 Deviation: -1 Swimming Prognoseabstand: +42 s Time: 11:34 Pace: 1:33 / 100 m Ergebnisabstand: +65 s Fehler: -22.7 s H2H: 7 Gegner:innen, 8 Duelle, Korrektur -0.52 %, Sicherheit 43 % Cycling Prediction: Group 2 (7 people) Gruppe 1: 1 % Speed: 33.4 km/h Initial Gruppe 2, später eingeholt/vereinigt Gap ahead: 29.3 s Gap behind: 18.9 s Result: Group 2 (9 people) Speed: 32.2 km/h Tempo-Fehler: 1.21 km/h Running and total Run: 20:21 (4:04 / km) Historical basis: 4:03 / km Best comparable pace: 4:03 / km Trend: +0:00 / km Comparable races: 2 H2H: 7 Gegner:innen, 8 Duelle, Korrektur 0.56 %, Sicherheit 46 % Ergebnis Lauf: 20:53 (4:11 / km) Error: −0:32 / −0:06 / km Overall prediction: 58:11 Data basis: 2 Races · Confidence 0.40 Swimming: 11:34 (1:33 / 100 m) To the end of cycling (group time): 36:03 (33.4 km/h) Run: 20:21 (4:04 / km) Total: 58:11 Target first bike group at the bike finish Goal: finish the bike split with the first bike group. Estimated requirement: Swim time: 11:10 Pace: 1:29 / 100 m About 24.4 s faster in the swim Maximum predicted gap after the swim: +17.9 s The complete bike-group simulation, including catches and group mergers, is recalculated through the end of the bike split.
6 / 11	Dayana Lukienko UZB	+107 s +123 s	G2 / G2 correct	20:25 23:48	58:15	Show details Prediction details: Dayana Lukienko Placement Prediction: 6 80% range: 4–9 Top-10 probability: 99 % Result: 11 Deviation: -5 Swimming Prognoseabstand: +107 s Time: 12:39 Pace: 1:41 / 100 m Ergebnisabstand: +123 s Fehler: -15.8 s H2H: 9 Gegner:innen, 20 Duelle, Korrektur 0.26 %, Sicherheit 56 % Cycling Prediction: Group 2 (7 people) Gruppe 1: 1 % Speed: 33.4 km/h Initial Gruppe 7, später eingeholt/vereinigt Gap ahead: 5.7 s Gap behind: 41.5 s Result: Group 2 (9 people) Speed: 32.9 km/h Tempo-Fehler: 0.50 km/h Running and total Run: 20:25 (4:05 / km) Historical basis: 4:11 / km Best comparable pace: 3:55 / km Trend: −0:05 / km Comparable races: 8 H2H: 9 Gegner:innen, 20 Duelle, Korrektur -0.58 %, Sicherheit 53 % Ergebnis Lauf: 23:48 (4:46 / km) Error: −3:23 / −0:41 / km Overall prediction: 58:15 Data basis: 12 Races · Confidence 1.00 Swimming: 12:39 (1:41 / 100 m) To the end of cycling (group time): 36:03 (33.4 km/h) Run: 20:25 (4:05 / km) Total: 58:15 Target first bike group at the bike finish Goal: finish the bike split with the first bike group. Estimated requirement: Swim time: 11:10 Pace: 1:29 / 100 m About 89.3 s faster in the swim Maximum predicted gap after the swim: +17.9 s The complete bike-group simulation, including catches and group mergers, is recalculated through the end of the bike split.
7 / 5	Keerthi Sakthivel IND	+102 s +88 s	G2 / G2 correct	20:45 19:52	58:35	Show details Prediction details: Keerthi Sakthivel Placement Prediction: 7 80% range: 6–9 Top-10 probability: 100 % Result: 5 Deviation: 2 Swimming Prognoseabstand: +102 s Time: 12:34 Pace: 1:41 / 100 m Ergebnisabstand: +88 s Fehler: 13.5 s H2H: 7 Gegner:innen, 9 Duelle, Korrektur 0.47 %, Sicherheit 40 % Cycling Prediction: Group 2 (7 people) Gruppe 1: 0 % Speed: 33.4 km/h Initial Gruppe 6, später eingeholt/vereinigt Gap ahead: 19.7 s Gap behind: 5.7 s Result: Group 2 (9 people) Speed: 32.2 km/h Tempo-Fehler: 1.17 km/h Running and total Run: 20:45 (4:09 / km) Historical basis: 4:09 / km Best comparable pace: 4:09 / km Trend: +0:00 / km Comparable races: 3 H2H: 7 Gegner:innen, 9 Duelle, Korrektur 0.02 %, Sicherheit 39 % Ergebnis Lauf: 19:52 (3:58 / km) Error: +0:53 / +0:11 / km Overall prediction: 58:35 Data basis: 5 Races · Confidence 1.00 Swimming: 12:34 (1:41 / 100 m) To the end of cycling (group time): 36:03 (33.4 km/h) Run: 20:45 (4:09 / km) Total: 58:35 Target first bike group at the bike finish Goal: finish the bike split with the first bike group. Estimated requirement: Swim time: 11:10 Pace: 1:29 / 100 m About 83.6 s faster in the swim Maximum predicted gap after the swim: +17.9 s The complete bike-group simulation, including catches and group mergers, is recalculated through the end of the bike split.
8 / 8	Tatiana Andreevna Kokina KGZ	+82 s +88 s	G2 / G2 correct	20:50 22:01	58:40	Show details Prediction details: Tatiana Andreevna Kokina Placement Prediction: 8 80% range: 6–9 Top-10 probability: 100 % Result: 8 Deviation: 0 Swimming Prognoseabstand: +82 s Time: 12:14 Pace: 1:38 / 100 m Ergebnisabstand: +88 s Fehler: -6.2 s H2H: 6 Gegner:innen, 6 Duelle, Korrektur 0.55 %, Sicherheit 37 % Cycling Prediction: Group 2 (7 people) Gruppe 1: 1 % Speed: 33.4 km/h Initial Gruppe 5, später eingeholt/vereinigt Gap ahead: 5.3 s Gap behind: 19.7 s Result: Group 2 (9 people) Speed: 32.3 km/h Tempo-Fehler: 1.05 km/h Running and total Run: 20:50 (4:10 / km) Historical basis: 4:10 / km Best comparable pace: 4:10 / km Trend: +0:00 / km Comparable races: 1 H2H: 6 Gegner:innen, 6 Duelle, Korrektur -0.05 %, Sicherheit 37 % Ergebnis Lauf: 22:01 (4:24 / km) Error: −1:11 / −0:14 / km Overall prediction: 58:40 Data basis: 2 Races · Confidence 0.40 Swimming: 12:14 (1:38 / 100 m) To the end of cycling (group time): 36:03 (33.4 km/h) Run: 20:50 (4:10 / km) Total: 58:40 Target first bike group at the bike finish Goal: finish the bike split with the first bike group. Estimated requirement: Swim time: 11:10 Pace: 1:29 / 100 m About 63.9 s faster in the swim Maximum predicted gap after the swim: +17.9 s The complete bike-group simulation, including catches and group mergers, is recalculated through the end of the bike split.
9 / 14	Sofiia Karpova RUS	+61 s +81 s	G2 / G2 correct	22:35 27:08	1:00:25	Show details Prediction details: Sofiia Karpova Placement Prediction: 9 80% range: 10–11 Top-10 probability: 81 % Result: 14 Deviation: -5 Swimming Prognoseabstand: +61 s Time: 11:53 Pace: 1:35 / 100 m Ergebnisabstand: +81 s Fehler: -19.8 s H2H: 3 Gegner:innen, 3 Duelle, Korrektur 1.49 %, Sicherheit 21 % Cycling Prediction: Group 2 (7 people) Gruppe 1: 1 % Speed: 33.4 km/h Initial Gruppe 3, später eingeholt/vereinigt Gap ahead: 18.9 s Gap behind: 4.8 s Result: Group 2 (9 people) Speed: 32.5 km/h Tempo-Fehler: 0.93 km/h Running and total Run: 22:35 (4:31 / km) Historical basis: 4:26 / km Best comparable pace: 4:26 / km Trend: +0:00 / km Comparable races: 2 H2H: 3 Gegner:innen, 3 Duelle, Korrektur 1.95 %, Sicherheit 21 % Ergebnis Lauf: 27:08 (5:26 / km) Error: −4:33 / −0:55 / km Overall prediction: 1:00:25 Data basis: 2 Races · Confidence 0.40 Swimming: 11:53 (1:35 / 100 m) To the end of cycling (group time): 36:03 (33.4 km/h) Run: 22:35 (4:31 / km) Total: 1:00:25 Target first bike group at the bike finish Goal: finish the bike split with the first bike group. Estimated requirement: Swim time: 11:10 Pace: 1:29 / 100 m About 43.3 s faster in the swim Maximum predicted gap after the swim: +17.9 s The complete bike-group simulation, including catches and group mergers, is recalculated through the end of the bike split.
10 / 10	Angelina Blindul KGZ	+163 s +159 s	G3 / G2	21:31 22:53	1:01:52	Show details Prediction details: Angelina Blindul Placement Prediction: 10 80% range: 10–13 Top-10 probability: 20 % Result: 10 Deviation: 0 Swimming Prognoseabstand: +163 s Time: 13:35 Pace: 1:49 / 100 m Ergebnisabstand: +159 s Fehler: 4.4 s H2H: 6 Gegner:innen, 11 Duelle, Korrektur 0.48 %, Sicherheit 26 % Cycling Prediction: Group 3 (2 people) Gruppe 1: 0 % Speed: 31.7 km/h Initial Gruppe 9, später eingeholt/vereinigt Gap ahead: 14.7 s Gap behind: 10.1 s Result: Group 2 (9 people) Speed: 33.4 km/h Tempo-Fehler: -1.67 km/h Running and total Run: 21:31 (4:18 / km) Historical basis: 4:23 / km Best comparable pace: 4:11 / km Trend: −0:05 / km Comparable races: 4 H2H: 6 Gegner:innen, 11 Duelle, Korrektur 0.17 %, Sicherheit 22 % Ergebnis Lauf: 22:53 (4:35 / km) Error: −1:22 / −0:16 / km Overall prediction: 1:01:52 Data basis: 7 Races · Confidence 1.00 Swimming: 13:35 (1:49 / 100 m) To the end of cycling (group time): 37:38 (31.7 km/h) Run: 21:31 (4:18 / km) Total: 1:01:52 Target first bike group at the bike finish Goal: finish the bike split with the first bike group. Estimated requirement: Swim time: 11:10 Pace: 1:29 / 100 m About 145.5 s faster in the swim Maximum predicted gap after the swim: +17.9 s The complete bike-group simulation, including catches and group mergers, is recalculated through the end of the bike split.
11 / 9	Christy Ann Perez PHI	+149 s +127 s	G3 / G2	22:27 22:06	1:02:48	Show details Prediction details: Christy Ann Perez Placement Prediction: 11 80% range: 11–12 Top-10 probability: 0 % Result: 9 Deviation: 2 Swimming Prognoseabstand: +149 s Time: 13:21 Pace: 1:47 / 100 m Ergebnisabstand: +127 s Fehler: 21.7 s H2H: 7 Gegner:innen, 8 Duelle, Korrektur -1.83 %, Sicherheit 43 % Cycling Prediction: Group 3 (2 people) Gruppe 1: 0 % Speed: 31.7 km/h Initial Gruppe 8, später eingeholt/vereinigt Gap ahead: 41.5 s Gap behind: 14.7 s Result: Group 2 (9 people) Speed: 32.8 km/h Tempo-Fehler: -1.13 km/h Running and total Run: 22:27 (4:29 / km) Historical basis: 4:30 / km Best comparable pace: 4:30 / km Trend: +0:00 / km Comparable races: 2 H2H: 7 Gegner:innen, 8 Duelle, Korrektur -0.22 %, Sicherheit 46 % Ergebnis Lauf: 22:06 (4:25 / km) Error: +0:21 / +0:04 / km Overall prediction: 1:02:48 Data basis: 2 Races · Confidence 0.40 Swimming: 13:21 (1:47 / 100 m) To the end of cycling (group time): 37:38 (31.7 km/h) Run: 22:27 (4:29 / km) Total: 1:02:48 Target first bike group at the bike finish Goal: finish the bike split with the first bike group. Estimated requirement: Swim time: 11:10 Pace: 1:29 / 100 m About 130.8 s faster in the swim Maximum predicted gap after the swim: +17.9 s The complete bike-group simulation, including catches and group mergers, is recalculated through the end of the bike split.
12 / 17	Gabrielle Widjaya AUS	+66 s +212 s	G2 / G5	26:42 26:48	1:04:32	Show details Prediction details: Gabrielle Widjaya Placement Prediction: 12 80% range: 12–13 Top-10 probability: 0 % Result: 17 Deviation: -5 Swimming Prognoseabstand: +66 s Time: 11:58 Pace: 1:36 / 100 m Ergebnisabstand: +212 s Fehler: -146.0 s H2H: 2 Gegner:innen, 2 Duelle, Korrektur 2.25 %, Sicherheit 4 % Cycling Prediction: Group 2 (7 people) Gruppe 1: 1 % Speed: 33.4 km/h Initial Gruppe 3, später eingeholt/vereinigt Gap ahead: 4.8 s Gap behind: 10.5 s Result: Group 5 (1 people) Speed: 30.7 km/h Tempo-Fehler: 2.72 km/h Running and total Run: 26:42 (5:20 / km) Historical basis: 5:23 / km Best comparable pace: 5:23 / km Trend: +0:00 / km Comparable races: 1 Fallback calculation from other run distances H2H: 2 Gegner:innen, 2 Duelle, Korrektur -0.73 %, Sicherheit 4 % Ergebnis Lauf: 26:48 (5:22 / km) Error: −0:06 / −0:01 / km Overall prediction: 1:04:32 Data basis: 1 Races · Confidence 0.20 Swimming: 11:58 (1:36 / 100 m) To the end of cycling (group time): 36:03 (33.4 km/h) Run: 26:42 (5:20 / km) Total: 1:04:32 Target first bike group at the bike finish Goal: finish the bike split with the first bike group. Estimated requirement: Swim time: 11:10 Pace: 1:29 / 100 m About 48.1 s faster in the swim Maximum predicted gap after the swim: +17.9 s The complete bike-group simulation, including catches and group mergers, is recalculated through the end of the bike split.
13 / 16	Kramarenko Anna KGZ	+186 s +203 s	G4 / G6	23:13 23:55	1:08:06	Show details Prediction details: Kramarenko Anna Placement Prediction: 13 80% range: 13–14 Top-10 probability: 0 % Result: 16 Deviation: -3 Swimming Prognoseabstand: +186 s Time: 13:58 Pace: 1:52 / 100 m Ergebnisabstand: +203 s Fehler: -17.5 s H2H: 4 Gegner:innen, 6 Duelle, Korrektur -0.58 %, Sicherheit 17 % Cycling Prediction: Group 4 (3 people) Gruppe 1: 0 % Speed: 29.5 km/h Initial Gruppe 11, später eingeholt/vereinigt Gap ahead: 12.0 s Gap behind: 66.4 s Result: Group 6 (2 people) Speed: 29.8 km/h Tempo-Fehler: -0.31 km/h Running and total Run: 23:13 (4:39 / km) Historical basis: 4:38 / km Best comparable pace: 4:30 / km Trend: +0:00 / km Comparable races: 3 H2H: 4 Gegner:innen, 6 Duelle, Korrektur 0.29 %, Sicherheit 17 % Ergebnis Lauf: 23:55 (4:47 / km) Error: −0:42 / −0:08 / km Overall prediction: 1:08:06 Data basis: 3 Races · Confidence 0.60 Swimming: 13:58 (1:52 / 100 m) To the end of cycling (group time): 40:41 (29.5 km/h) Run: 23:13 (4:39 / km) Total: 1:08:06 Target first bike group at the bike finish Goal: finish the bike split with the first bike group. Estimated requirement: Swim time: 11:10 Pace: 1:29 / 100 m About 167.6 s faster in the swim Maximum predicted gap after the swim: +17.9 s The complete bike-group simulation, including catches and group mergers, is recalculated through the end of the bike split.
14 / 15	Michaella Concetta Alexandra Widjaya AUS	+252 s +238 s	G4 / G4 correct	25:58 25:45	1:10:51	Show details Prediction details: Michaella Concetta Alexandra Widjaya Placement Prediction: 14 80% range: 15–15 Top-10 probability: 0 % Result: 15 Deviation: -1 Swimming Prognoseabstand: +252 s Time: 15:04 Pace: 2:01 / 100 m Ergebnisabstand: +238 s Fehler: 13.9 s H2H: 6 Gegner:innen, 8 Duelle, Korrektur -0.99 %, Sicherheit 20 % Cycling Prediction: Group 4 (3 people) Gruppe 1: 0 % Speed: 29.5 km/h Initial Gruppe 12, später eingeholt/vereinigt Gap ahead: 66.4 s Gap behind: – Result: Group 4 (1 people) Speed: 31.9 km/h Tempo-Fehler: -2.46 km/h Running and total Run: 25:58 (5:12 / km) Historical basis: 5:12 / km Best comparable pace: 4:53 / km Trend: +0:00 / km Comparable races: 4 H2H: 6 Gegner:innen, 8 Duelle, Korrektur 0.00 %, Sicherheit 15 % Ergebnis Lauf: 25:45 (5:09 / km) Error: +0:13 / +0:03 / km Overall prediction: 1:10:51 Data basis: 5 Races · Confidence 1.00 Swimming: 15:04 (2:01 / 100 m) To the end of cycling (group time): 40:41 (29.5 km/h) Run: 25:58 (5:12 / km) Total: 1:10:51 Target first bike group at the bike finish Goal: finish the bike split with the first bike group. Estimated requirement: Swim time: 11:10 Pace: 1:29 / 100 m About 234 s faster in the swim Maximum predicted gap after the swim: +17.9 s The complete bike-group simulation, including catches and group mergers, is recalculated through the end of the bike split.
0 / 7	Rena Maresch KSA	+0 s +4 s	G0 / G2	21:36		Show details Prediction details: Rena Maresch Placement Prediction: 0 80% range: 16–16 Top-10 probability: 0 % Result: 7 Deviation: Swimming Prognoseabstand: +0 s Time: 10:52 Pace: 1:27 / 100 m Ergebnisabstand: +4 s Fehler: 0.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 2 (9 people) Speed: 31.2 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: 21:36 (4:19 / km) Error: / Overall prediction: Data basis: 0 Races · Confidence 0.00 Swimming: 10:52 (1:27 / 100 m) 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	Klara Maresch KSA	+0 s +76 s	G0 / G2	25:27		Show details Prediction details: Klara Maresch Placement Prediction: 0 80% range: 17–17 Top-10 probability: 0 % Result: 12 Deviation: Swimming Prognoseabstand: +0 s Time: 10:52 Pace: 1:27 / 100 m Ergebnisabstand: +76 s Fehler: 0.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 2 (9 people) Speed: 32.4 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: 25:27 (5:05 / km) Error: / Overall prediction: Data basis: 0 Races · Confidence 0.00 Swimming: 10:52 (1:27 / 100 m) 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	May Yan Chan MAS	+0 s +123 s	G0 / G3	24:23		Show details Prediction details: May Yan Chan Placement Prediction: 0 80% range: 18–18 Top-10 probability: 0 % Result: 13 Deviation: Swimming Prognoseabstand: +0 s Time: 10:52 Pace: 1:27 / 100 m Ergebnisabstand: +123 s Fehler: 0.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 3 (1 people) Speed: 32.1 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: 24:23 (4:53 / km) Error: / Overall prediction: Data basis: 0 Races · Confidence 0.00 Swimming: 10:52 (1:27 / 100 m) 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	Daria Chigakova KGZ	+0 s +205 s	G0 / G6	28:07		Show details Prediction details: Daria Chigakova Placement Prediction: 0 80% range: 19–19 Top-10 probability: 0 % Result: 18 Deviation: Swimming Prognoseabstand: +0 s Time: 10:52 Pace: 1:27 / 100 m Ergebnisabstand: +205 s Fehler: 0.0 s Cycling Prediction: Group 0 (0 people) Gruppe 1: 0 % Speed: 0.0 km/h Gap ahead: – Gap behind: – Result: Group 6 (2 people) Speed: 29.8 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: 28:07 (5:37 / km) Error: / Overall prediction: Data basis: 0 Races · Confidence 0.00 Swimming: 10:52 (1:27 / 100 m) 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	Azra Nabihah Ahmad Humaizi MAS	+174 s +128 s	G4 / G7	26:59		Show details Prediction details: Azra Nabihah Ahmad Humaizi Placement Prediction: 0 80% range: 1–1 Top-10 probability: 100 % Result: 19 Deviation: -19 Swimming Prognoseabstand: +174 s Time: 13:46 Pace: 1:50 / 100 m Ergebnisabstand: +128 s Fehler: 45.5 s Cycling Prediction: Group 4 (3 people) Gruppe 1: 0 % Speed: 29.5 km/h Initial Gruppe 10, später eingeholt/vereinigt Gap ahead: 10.1 s Gap behind: 12.0 s Result: Group 7 (1 people) Speed: 28.1 km/h Tempo-Fehler: 1.32 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: 26:59 (5:24 / km) Error: / Overall prediction: Data basis: 3 Races · Confidence 0.60 Swimming: 13:46 (1:50 / 100 m) To the end of cycling (group time): 40:41 (29.5 km/h) Run: – Total: not fully calculable Target first bike group at the bike finish Goal: finish the bike split with the first bike group. Estimated requirement: Swim time: 11:10 Pace: 1:29 / 100 m About 155.6 s faster in the swim Maximum predicted gap after the swim: +17.9 s The complete bike-group simulation, including catches and group mergers, is recalculated through the end of the bike split.

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