Onalyst

AKSS - Central 3 · Year 9 Girls · 6/03/2024

Event Type: Unknown

Planner: unknown

Controller: unknown

Organising Club: Lactic Turkey

Country: New Zealand

Competitors: 36

Unique Clubs: 9

Competitiveness: not ready

Difficulty: not ready

Rating 1:

Rating 2:

🏔️ Toughest controls

Control 1-2 (231) 0.918
Control 12-13 (207) 0.854
Control 16-17 (204) 0.789
Control 11-12 (216) 0.606
Control S-1 (224) 0.596
Control 10-11 (226) 0.582

🏃 Easiest controls

Control 5-6 (215) 0.204
Control 18-F 0.21
Control 7-8 (210) 0.217
Control 6-7 (211) 0.256
Control 4-5 (225) 0.393
Control 17-18 (200) 0.428

🏆 Best control performances

Hanife Atamer 15-16 1m 1s gain
Arene Kong 1-2 39s gain
Miya Zhang 7-8 38s gain
Stella Ou 1-2 36s gain
Chloe Morton 7-8 35s gain
Amy MacRae 1-2 32s gain

🚨 Worst control performances

Hanife Atamer 9-10 8m 4s loss
Keira Treagus 1-2 3m 32s loss
Arene Kong 2-3 3m 30s loss
Miya Zhang 12-13 3m 21s loss
Chloe Morton 12-13 3m 19s loss
Florence Twose 1-2 3m 3s loss

Primary row:

Secondary row:

  Pos Name Finish Time Time Diff Consistency Navigation Pace Control 1 Control 2 Control 3 Control 4 Control 5 Control 6 Control 7 Control 8 Control 9 Control 10 Control 11 Control 12 Control 13 Control 14 Control 15 Control 16 Control 17 Control 18 Finish Name
1 1.0 Maggie Bauzon 9.55 +0.00 0.963 2.004 1.975 0.17 0.48 0.28 0.27 0.33 0.36 0.19 0.46 0.31 0.43 0.26 0.32 0.26 0.30 0.31 0.48 0.52 0.17 0.05 Maggie Bauzon
2 BARA 0.17 1.05 1.33 2.00 2.33 3.09 3.28 4.14 4.45 5.28 5.54 6.26 6.52 7.22 7.53 8.41 9.33 9.50 9.55 BARA
3 2.0 Josie Hua 10.46 +0.51 0.810 1.841 1.932 0.20 0.55 0.27 0.27 0.34 0.37 0.20 0.45 0.32 0.44 0.22 0.56 0.39 0.30 0.27 0.53 0.48 0.22 0.08 Josie Hua
4 STCU 0.20 1.15 1.42 2.09 2.43 3.20 3.40 4.25 4.57 5.41 6.03 6.59 7.38 8.08 8.35 9.28 10.16 10.38 10.46 STCU
5 3.0 Emily Reeves 11.44 +1.49 0.712 1.699 1.838 0.19 0.52 0.31 0.31 0.33 0.41 0.23 0.50 0.37 0.46 0.24 0.29 0.24 0.54 0.31 0.56 1.39 0.18 0.06 Emily Reeves
6 BARA 0.19 1.11 1.42 2.13 2.46 3.27 3.50 4.40 5.17 6.03 6.27 6.56 7.20 8.14 8.45 9.41 11.20 11.38 11.44 BARA
7 4.0 Sarah Williams 12.30 +2.35 0.745 1.56 1.715 0.20 0.58 0.31 0.35 1.02 0.39 0.24 0.52 0.40 0.45 0.29 1.09 0.33 0.40 0.37 0.54 0.58 0.18 0.06 Sarah Williams
8 BARA 0.20 1.18 1.49 2.24 3.26 4.05 4.29 5.21 6.01 6.46 7.15 8.24 8.57 9.37 10.14 11.08 12.06 12.24 12.30 BARA
9 5.0 Cate Wheeler 12.56 +3.01 0.821 1.557 1.66 0.22 0.54 0.39 0.35 0.36 0.43 0.49 0.49 0.41 1.07 0.37 0.39 0.33 0.43 0.52 0.52 0.57 0.23 0.05 Cate Wheeler
10 STCU 0.22 1.16 1.55 2.30 3.06 3.49 4.38 5.27 6.08 7.15 7.52 8.31 9.04 9.47 10.39 11.31 12.28 12.51 12.56 STCU
11 6.0 Petra Slavich 13.30 +3.35 0.805 1.51 1.479 0.26 1.11 0.31 0.36 0.41 0.44 0.28 0.55 0.44 0.57 0.25 0.43 0.33 1.13 0.34 1.07 1.15 0.20 0.07 Petra Slavich
12 BARA 0.26 1.37 2.08 2.44 3.25 4.09 4.37 5.32 6.16 7.13 7.38 8.21 8.54 10.07 10.41 11.48 13.03 13.23 13.30 BARA
13 7.0 Zoe Sekula 13.45 +3.50 0.798 1.512 1.53 0.58 1.03 0.32 0.37 0.41 0.45 0.26 0.55 1.07 0.55 0.29 0.38 0.37 0.41 0.39 1.03 0.58 0.35 0.06 Zoe Sekula
14 BARA 0.58 2.01 2.33 3.10 3.51 4.36 5.02 5.57 7.04 7.59 8.28 9.06 9.43 10.24 11.03 12.06 13.04 13.39 13.45 BARA
15 8.0 Julia Wolski 13.53 +3.58 0.653 1.523 1.561 0.23 1.24 0.33 0.33 0.46 0.43 0.26 0.52 0.40 1.59 0.30 0.45 0.33 0.32 0.36 1.08 0.56 0.28 0.06 Julia Wolski
16 BARA 0.23 1.47 2.20 2.53 3.39 4.22 4.48 5.40 6.20 8.19 8.49 9.34 10.07 10.39 11.15 12.23 13.19 13.47 13.53 BARA
17 9.0 Sophia Zhao 14.11 +4.16 0.899 1.415 1.42 0.29 1.28 0.36 0.49 0.43 0.48 0.27 0.59 0.53 1.03 0.30 0.57 0.34 0.39 0.33 1.03 0.59 0.32 0.09 Sophia Zhao
18 STCU 0.29 1.57 2.33 3.22 4.05 4.53 5.20 6.19 7.12 8.15 8.45 9.42 10.16 10.55 11.28 12.31 13.30 14.02 14.11 STCU
19 10.0 Ella Ogden 14.14 +4.19 0.940 1.418 1.381 0.34 1.26 0.38 0.46 0.43 0.48 0.28 1.01 0.51 1.04 0.36 0.49 0.36 0.39 0.33 1.03 0.58 0.31 0.10 Ella Ogden
20 STCU 0.34 2.00 2.38 3.24 4.07 4.55 5.23 6.24 7.15 8.19 8.55 9.44 10.20 10.59 11.32 12.35 13.33 14.04 14.14 STCU
21 11.0 Dakota Wells 14.36 +4.41 0.835 1.391 1.385 0.28 1.18 0.37 0.38 0.41 0.44 0.29 0.53 0.45 0.55 0.35 0.41 0.55 0.58 0.49 1.31 1.03 0.29 0.07 Dakota Wells
22 BARA 0.28 1.46 2.23 3.01 3.42 4.26 4.55 5.48 6.33 7.28 8.03 8.44 9.39 10.37 11.26 12.57 14.00 14.29 14.36 BARA
23 12.0 Sophia Ng 15.21 +5.26 0.360 1.3 1.643 0.32 1.36 0.58 0.33 0.37 0.38 0.28 0.45 0.41 0.51 0.28 0.31 0.32 0.34 0.31 0.56 3.36 0.28 0.06 Sophia Ng
24 DIOC 0.32 2.08 3.06 3.39 4.16 4.54 5.22 6.07 6.48 7.39 8.07 8.38 9.10 9.44 10.15 11.11 14.47 15.15 15.21 DIOC
25 13.0 Layla Gollings 16.58 +7.03 0.428 1.177 1.509 0.22 3.06 0.35 0.31 0.35 0.43 0.33 1.04 0.45 0.57 0.40 0.29 0.33 0.52 0.34 0.58 2.58 0.37 0.06 Layla Gollings
26 BARA 0.22 3.28 4.03 4.34 5.09 5.52 6.25 7.29 8.14 9.11 9.51 10.20 10.53 11.45 12.19 13.17 16.15 16.52 16.58 BARA
27 14.0 Evelyn Hopkins 17.32 +7.37 0.848 1.124 1.163 0.34 1.23 0.51 0.46 1.03 0.53 0.50 1.07 0.51 1.00 0.43 0.51 0.53 0.52 0.56 1.48 1.35 0.29 0.07 Evelyn Hopkins
28 STMA 0.34 1.57 2.48 3.34 4.37 5.30 6.20 7.27 8.18 9.18 10.01 10.52 11.45 12.37 13.33 15.21 16.56 17.25 17.32 STMA
29 15.0 Mina Momeny 18.02 +8.07 0.676 1.119 1.195 0.31 1.28 0.45 0.44 0.54 0.47 0.29 1.12 0.50 1.02 0.41 0.43 0.50 1.18 1.58 1.40 1.32 0.28 0.10 Mina Momeny
30 OTHC 0.31 1.59 2.44 3.28 4.22 5.09 5.38 6.50 7.40 8.42 9.23 10.06 10.56 12.14 14.12 15.52 17.24 17.52 18.02 OTHC
31 16.0 Kam Yi Zhuang 18.13 +8.18 0.599 1.149 1.316 1.04 2.56 0.35 1.17 0.56 0.43 0.30 1.05 0.40 0.54 0.38 0.47 1.47 0.37 0.36 1.04 1.04 0.54 0.06 Kam Yi Zhuang
32 STCU 1.04 4.00 4.35 5.52 6.48 7.31 8.01 9.06 9.46 10.40 11.18 12.05 13.52 14.29 15.05 16.09 17.13 18.07 18.13 STCU
33 17.0 Keira Treagus 19.33 +9.38 0.276 1.026 1.389 0.22 5.00 0.29 1.02 2.41 0.49 0.30 1.04 0.40 0.58 0.44 0.39 0.52 0.34 0.27 1.06 1.04 0.24 0.08 Keira Treagus
34 EGGS 0.22 5.22 5.51 6.53 9.34 10.23 10.53 11.57 12.37 13.35 14.19 14.58 15.50 16.24 16.51 17.57 19.01 19.25 19.33 EGGS
35 18.0 Chriesy Calvelo 19.59 +10.04 0.636 1.039 1.158 0.37 1.26 2.18 0.45 0.44 1.19 0.41 1.06 0.53 1.20 1.00 0.46 1.31 0.41 0.41 1.28 2.11 0.27 0.05 Chriesy Calvelo
36 STMA 0.37 2.03 4.21 5.06 5.50 7.09 7.50 8.56 9.49 11.09 12.09 12.55 14.26 15.07 15.48 17.16 19.27 19.54 19.59 STMA
37 19.0 Jessica Garland 20.03 +10.08 0.658 1.032 1.099 0.41 1.25 2.16 0.46 0.44 1.20 0.43 1.03 1.00 1.12 0.59 0.46 1.34 0.35 0.43 1.29 2.11 0.27 0.09 Jessica Garland
38 STMA 0.41 2.06 4.22 5.08 5.52 7.12 7.55 8.58 9.58 11.10 12.09 12.55 14.29 15.04 15.47 17.16 19.27 19.54 20.03 STMA
39 20.0 Anouk Chew 22.17 +12.22 0.396 0.93 1.235 0.23 4.38 2.03 0.23 0.58 0.46 0.30 1.01 1.10 0.53 0.34 1.42 1.04 0.31 2.27 1.23 1.21 0.22 0.08 Anouk Chew
40 STMA 0.23 5.01 7.04 7.27 8.25 9.11 9.41 10.42 11.52 12.45 13.19 15.01 16.05 16.36 19.03 20.26 21.47 22.09 22.17 STMA
41 21.0 Florence Twose 22.21 +12.26 0.388 0.922 1.226 0.25 4.44 1.55 0.26 0.59 0.42 0.29 1.09 0.52 1.02 0.36 1.45 1.00 0.34 2.24 1.22 1.23 0.22 0.12 Florence Twose
42 STMA 0.25 5.09 7.04 7.30 8.29 9.11 9.40 10.49 11.41 12.43 13.19 15.04 16.04 16.38 19.02 20.24 21.47 22.09 22.21 STMA
43 22.0 Amy MacRae 22.25 +12.30 0.566 0.951 1.048 0.51 1.23 1.05 0.37 1.09 0.53 0.33 0.58 1.13 1.22 0.50 0.45 1.12 2.56 2.05 2.24 1.16 0.43 0.10 Amy MacRae
44 DIOC 0.51 2.14 3.19 3.56 5.05 5.58 6.31 7.29 8.42 10.04 10.54 11.39 12.51 15.47 17.52 20.16 21.32 22.15 22.25 DIOC
45 23.0 Stella Ou 22.33 +12.38 0.583 0.942 1.039 0.56 1.19 1.07 0.41 1.03 0.56 0.28 1.04 1.12 1.20 0.50 0.48 1.12 2.50 2.05 2.22 1.24 0.40 0.16 Stella Ou
46 DIOC 0.56 2.15 3.22 4.03 5.06 6.02 6.30 7.34 8.46 10.06 10.56 11.44 12.56 15.46 17.51 20.13 21.37 22.17 22.33 DIOC
47 24.0 Arene Kong 25.15 +15.20 0.319 0.896 1.12 0.29 1.18 4.22 3.03 0.55 1.00 0.31 0.55 1.04 3.41 0.47 1.05 1.06 0.33 0.57 1.17 1.44 0.19 0.09 Arene Kong
48 MTRO 0.29 1.47 6.09 9.12 10.07 11.07 11.38 12.33 13.37 17.18 18.05 19.10 20.16 20.49 21.46 23.03 24.47 25.06 25.15 MTRO
49 25.0 Chloe Morton 30.38 +20.43 0.514 0.693 0.786 0.36 3.01 0.59 0.56 1.02 2.52 0.50 1.09 1.14 1.28 0.48 1.25 4.34 1.48 2.00 2.56 2.13 0.36 0.11 Chloe Morton
50 SELW 0.36 3.37 4.36 5.32 6.34 9.26 10.16 11.25 12.39 14.07 14.55 16.20 20.54 22.42 24.42 27.38 29.51 30.27 30.38 SELW
51 25.0 Miya Zhang 30.38 +20.43 0.506 0.693 0.791 0.39 2.58 1.03 0.53 1.01 2.53 0.50 1.08 1.05 1.22 1.03 1.21 4.38 1.55 1.56 2.55 2.12 0.38 0.08 Miya Zhang
52 DIOC 0.39 3.37 4.40 5.33 6.34 9.27 10.17 11.25 12.30 13.52 14.55 16.16 20.54 22.49 24.45 27.40 29.52 30.30 30.38 DIOC
53 27.0 Hanife Atamer 46.32 +36.37 0.213 0.626 0.819 6.22 2.45 0.59 0.45 0.58 0.52 0.34 1.07 5.06 10.01 1.59 1.03 2.43 4.51 1.59 1.33 2.20 0.28 0.07 Hanife Atamer
54 DIOC 6.22 9.07 10.06 10.51 11.49 12.41 13.15 14.22 19.28 29.29 31.28 32.31 35.14 40.05 42.04 43.37 45.57 46.25 46.32 DIOC
55 MP Deep Kaur 21.15 +11.20 None None None 0.32 1.01 0.48 2.42 3.24 0.52 0.33 1.13 0.47 1.04 0.48 0.35 0.57 mp mp 1.40 2.06 0.22 0.11 Deep Kaur
56 EGGS 0.32 1.33 2.21 5.03 8.27 9.19 9.52 11.05 11.52 12.56 13.44 14.19 15.16 16.56 19.02 19.24 19.35 EGGS
57 MP Emma Thompson 14.15 +4.20 None None None 0.25 0.58 0.43 0.29 0.37 0.39 0.28 0.50 0.36 0.52 0.27 0.32 0.30 0.29 0.31 1.01 3.38 mp mp Emma Thompson
58 OTHC 0.25 1.23 2.06 2.35 3.12 3.51 4.19 5.09 5.45 6.37 7.04 7.36 8.06 8.35 9.06 10.07 13.45 OTHC
59 MP Ilona Li 23.05 +13.10 None None None 0.35 1.00 0.43 2.41 3.27 0.51 0.32 1.05 0.46 0.56 0.35 0.37 1.16 mp mp 1.12 4.35 0.23 0.09 Ilona Li
60 EGGS 0.35 1.35 2.18 4.59 8.26 9.17 9.49 10.54 11.40 12.36 13.11 13.48 15.04 16.16 20.51 21.14 21.23 EGGS
61 DNS Aikantika Banerjee mp None None None mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp Aikantika Banerjee
62 PARN PARN
63 DNS Charlotte Locke mp None None None mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp Charlotte Locke
64 DIOC DIOC
65 DNS Charlotte Cline mp None None None mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp Charlotte Cline
66 BARA BARA
67 DNS Cindy Li mp None None None mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp Cindy Li
68 STCU STCU
69 DNS Janisha Manikkage mp None None None mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp Janisha Manikkage
70 STCU STCU
71 DNS Sameeha Saheb mp None None None mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp Sameeha Saheb
72 EGGS EGGS
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