Onalyst

AKSS Sprint Central - Week 5 · Year 8 Girls · 15/03/2023

Event Type: Unknown

Planner: unknown

Controller: unknown

Organising Club: Lactic Turkey

Country: New Zealand

Competitors: 33

Unique Clubs: 5

Competitiveness: not ready

Difficulty: not ready

Rating 1:

Rating 2:

🏔️ Toughest controls

Control 9-10 (212) 0.922
Control 5-6 (211) 0.902
Control 14-15 (226) 0.809
Control 6-7 (216) 0.59
Control 10-11 (217) 0.55
Control S-1 (202) 0.548

🏃 Easiest controls

Control 18-19 (200) 0.228
Control 16-17 (218) 0.294
Control 7-8 (210) 0.298
Control 13-14 (220) 0.312
Control 19-F 0.322
Control 1-2 (203) 0.329

🏆 Best control performances

Elizabeth Lay 14-15 2m 0s gain
Gemma Flaszynski 4-5 1m 42s gain
Lilly Kerr 4-5 1m 33s gain
Abi Smith S-1 1m 22s gain
Eloise Lim 4-5 1m 12s gain
Hazel Mulligan 4-5 1m 10s gain

🚨 Worst control performances

Elizabeth Lay 9-10 42m 43s loss
Gemma Flaszynski 7-8 11m 56s loss
Lilly Kerr 7-8 11m 54s loss
Sarah Chen 10-11 8m 17s loss
Abi Smith 9-10 5m 52s loss
Hazel Mulligan 5-6 5m 30s 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 Control 19 Finish Name
1 1.0 Maggie Bauzon 10.14 +0.00 0.800 1.994 2.219 0.38 0.19 0.53 0.44 0.53 0.23 0.19 0.14 0.12 1.01 0.43 0.15 0.28 0.15 0.40 0.21 1.02 0.18 0.31 0.05 Maggie Bauzon
2 BARA 0.38 0.57 1.50 2.34 3.27 3.50 4.09 4.23 4.35 5.36 6.19 6.34 7.02 7.17 7.57 8.18 9.20 9.38 10.09 10.14 BARA
3 2.0 Alexandra Gribble 10.50 +0.36 0.693 1.818 2.113 0.38 0.17 0.48 0.51 0.55 1.21 0.12 0.11 0.14 0.34 0.49 0.10 0.27 0.15 0.39 0.19 1.04 0.19 0.39 0.08 Alexandra Gribble
4 STCU 0.38 0.55 1.43 2.34 3.29 4.50 5.02 5.13 5.27 6.01 6.50 7.00 7.27 7.42 8.21 8.40 9.44 10.03 10.42 10.50 STCU
5 3.0 Emily Reeves 11.42 +1.28 0.551 1.871 2.028 0.48 0.16 0.57 0.53 0.32 0.34 0.22 0.12 0.12 1.56 0.42 0.11 0.34 0.15 0.49 0.19 0.57 0.30 0.33 0.10 Emily Reeves
6 BARA 0.48 1.04 2.01 2.54 3.26 4.00 4.22 4.34 4.46 6.42 7.24 7.35 8.09 8.24 9.13 9.32 10.29 10.59 11.32 11.42 BARA
7 4.0 Clara MSharry 13.11 +2.57 0.529 1.484 1.864 0.48 0.21 0.47 0.48 1.03 0.22 0.21 0.28 0.36 0.51 0.42 0.15 0.31 0.18 2.33 0.16 1.05 0.29 0.32 0.05 Clara MSharry
8 STCU 0.48 1.09 1.56 2.44 3.47 4.09 4.30 4.58 5.34 6.25 7.07 7.22 7.53 8.11 10.44 11.00 12.05 12.34 13.06 13.11 STCU
9 5.0 Petra Slavich 14.08 +3.54 0.865 1.405 1.461 0.54 0.20 0.51 0.56 1.10 0.37 0.37 0.15 0.17 1.01 1.31 0.17 0.34 0.22 1.23 0.26 1.08 0.27 0.46 0.16 Petra Slavich
10 BARA 0.54 1.14 2.05 3.01 4.11 4.48 5.25 5.40 5.57 6.58 8.29 8.46 9.20 9.42 11.05 11.31 12.39 13.06 13.52 14.08 BARA
11 6.0 Layla Gollings 14.45 +4.31 0.615 1.379 1.619 0.44 0.19 0.42 0.59 1.07 0.55 0.26 0.13 0.59 1.37 0.52 0.10 0.31 0.24 2.11 0.23 1.01 0.29 0.32 0.11 Layla Gollings
12 BARA 0.44 1.03 1.45 2.44 3.51 4.46 5.12 5.25 6.24 8.01 8.53 9.03 9.34 9.58 12.09 12.32 13.33 14.02 14.34 14.45 BARA
13 7.0 Cate Wheeler 14.58 +4.44 0.503 1.312 1.599 1.00 0.16 1.34 1.02 0.47 0.43 0.28 0.21 0.17 0.51 1.06 0.15 0.27 0.21 1.26 2.04 0.50 0.22 0.39 0.09 Cate Wheeler
14 STCU 1.00 1.16 2.50 3.52 4.39 5.22 5.50 6.11 6.28 7.19 8.25 8.40 9.07 9.28 10.54 12.58 13.48 14.10 14.49 14.58 STCU
15 8.0 Dakota Wells 15.56 +5.42 0.607 1.208 1.526 1.10 0.28 1.14 0.40 1.26 1.26 1.02 0.19 1.44 0.29 1.02 0.12 0.53 0.16 1.17 0.34 0.49 0.17 0.31 0.07 Dakota Wells
16 BARA 1.10 1.38 2.52 3.32 4.58 6.24 7.26 7.45 9.29 9.58 11.00 11.12 12.05 12.21 13.38 14.12 15.01 15.18 15.49 15.56 BARA
17 9.0 Rebecca Ferraby 16.57 +6.43 0.440 1.194 1.562 0.49 2.28 0.43 0.58 1.05 0.57 0.26 0.14 0.59 1.37 0.51 0.10 0.32 0.21 2.11 0.27 0.57 0.32 0.32 0.08 Rebecca Ferraby
18 BARA 0.49 3.17 4.00 4.58 6.03 7.00 7.26 7.40 8.39 10.16 11.07 11.17 11.49 12.10 14.21 14.48 15.45 16.17 16.49 16.57 BARA
19 10.0 Julia Wolski 17.08 +6.54 0.539 1.11 1.53 1.47 1.33 0.43 0.41 1.26 1.24 1.08 0.19 1.40 0.27 1.06 0.13 0.39 0.25 1.17 0.25 0.59 0.17 0.32 0.07 Julia Wolski
20 BARA 1.47 3.20 4.03 4.44 6.10 7.34 8.42 9.01 10.41 11.08 12.14 12.27 13.06 13.31 14.48 15.13 16.12 16.29 17.01 17.08 BARA
21 11.0 Zoe Sekula 17.34 +7.20 0.597 1.2 1.468 0.44 0.18 1.28 1.36 0.49 1.42 1.48 0.10 0.13 1.55 0.50 0.14 0.40 0.19 1.01 0.31 1.49 0.40 0.36 0.11 Zoe Sekula
22 BARA 0.44 1.02 2.30 4.06 4.55 6.37 8.25 8.35 8.48 10.43 11.33 11.47 12.27 12.46 13.47 14.18 16.07 16.47 17.23 17.34 BARA
23 12.0 Evelyn Hopkins 17.56 +7.42 0.687 1.099 1.24 0.58 0.57 0.54 1.01 1.13 0.37 1.04 0.17 0.22 1.14 1.34 0.21 0.57 0.26 2.59 0.18 1.18 0.34 0.36 0.16 Evelyn Hopkins
24 STMA 0.58 1.55 2.49 3.50 5.03 5.40 6.44 7.01 7.23 8.37 10.11 10.32 11.29 11.55 14.54 15.12 16.30 17.04 17.40 17.56 STMA
25 13.0 Laura Brunbury 23.23 +13.09 0.389 0.835 1.277 1.36 0.20 1.00 2.12 1.26 2.14 3.51 0.15 0.30 0.45 1.11 0.16 0.38 0.22 1.19 2.12 1.46 0.29 0.49 0.12 Laura Brunbury
26 DIOC 1.36 1.56 2.56 5.08 6.34 8.48 12.39 12.54 13.24 14.09 15.20 15.36 16.14 16.36 17.55 20.07 21.53 22.22 23.11 23.23 DIOC
27 14.0 Xinzi Yang 25.44 +15.30 0.303 0.81 1.09 1.02 0.47 0.50 1.44 1.56 1.32 0.45 0.16 0.20 1.33 1.24 0.24 0.50 0.50 1.40 1.53 1.54 5.14 0.37 0.13 Xinzi Yang
28 DIOC 1.02 1.49 2.39 4.23 6.19 7.51 8.36 8.52 9.12 10.45 12.09 12.33 13.23 14.13 15.53 17.46 19.40 24.54 25.31 25.44 DIOC
29 15.0 Chloe Ulmer 26.20 +16.06 0.332 0.744 1.147 2.48 0.18 1.35 1.24 0.59 1.11 4.27 0.30 1.26 1.35 1.30 0.24 0.36 0.29 1.15 0.29 4.02 0.26 0.39 0.17 Chloe Ulmer
30 DIOC 2.48 3.06 4.41 6.05 7.04 8.15 12.42 13.12 14.38 16.13 17.43 18.07 18.43 19.12 20.27 20.56 24.58 25.24 26.03 26.20 DIOC
31 16.0 Anouk Chew 26.51 +16.37 0.409 0.722 1.137 2.45 0.22 4.10 0.45 1.47 1.29 0.37 0.15 0.56 1.11 3.00 0.27 1.52 0.24 3.52 0.19 1.05 0.37 0.48 0.10 Anouk Chew
32 STMA 2.45 3.07 7.17 8.02 9.49 11.18 11.55 12.10 13.06 14.17 17.17 17.44 19.36 20.00 23.52 24.11 25.16 25.53 26.41 26.51 STMA
33 17.0 Florence Twose 27.42 +17.28 0.235 0.709 1.119 1.09 0.28 6.38 0.49 1.45 1.26 0.42 0.14 0.56 1.05 3.01 0.33 1.44 0.27 3.56 0.19 0.57 0.44 0.41 0.08 Florence Twose
34 STMA 1.09 1.37 8.15 9.04 10.49 12.15 12.57 13.11 14.07 15.12 18.13 18.46 20.30 20.57 24.53 25.12 26.09 26.53 27.34 27.42 STMA
35 18.0 Sophie Berry 28.07 +17.53 0.386 0.751 1.058 3.24 0.44 0.55 1.44 1.50 1.38 0.50 0.12 0.21 3.08 5.17 0.13 0.40 0.22 1.18 2.11 1.47 0.28 0.51 0.14 Sophie Berry
36 DIOC 3.24 4.08 5.03 6.47 8.37 10.15 11.05 11.17 11.38 14.46 20.03 20.16 20.56 21.18 22.36 24.47 26.34 27.02 27.53 28.07 DIOC
37 19.0 Jessica Garland 29.43 +19.29 0.638 0.755 0.752 2.08 0.15 0.57 1.27 1.03 1.43 2.25 0.37 0.13 4.56 1.29 0.49 2.13 0.23 3.43 0.51 1.27 1.58 0.55 0.11 Jessica Garland
38 STMA 2.08 2.23 3.20 4.47 5.50 7.33 9.58 10.35 10.48 15.44 17.13 18.02 20.15 20.38 24.21 25.12 26.39 28.37 29.32 29.43 STMA
39 20.0 Sarah Chen 31.16 +21.02 0.117 0.669 1.17 1.09 1.59 1.54 2.40 1.57 0.31 0.32 0.16 0.13 1.06 10.02 0.23 0.39 0.26 2.06 1.05 1.01 2.13 0.48 0.16 Sarah Chen
40 DIOC 1.09 3.08 5.02 7.42 9.39 10.10 10.42 10.58 11.11 12.17 22.19 22.42 23.21 23.47 25.53 26.58 27.59 30.12 31.00 31.16 DIOC
41 21.0 Hazel Mulligan 31.41 +21.27 0.225 0.7 0.97 1.55 0.32 1.54 0.49 0.42 7.01 0.36 0.27 0.54 2.39 1.18 0.19 0.48 0.37 1.50 0.24 2.17 5.57 0.33 0.09 Hazel Mulligan
42 DIOC 1.55 2.27 4.21 5.10 5.52 12.53 13.29 13.56 14.50 17.29 18.47 19.06 19.54 20.31 22.21 22.45 25.02 30.59 31.32 31.41 DIOC
43 22.0 Zoe Masih 31.58 +21.44 0.578 0.693 0.79 2.13 0.33 2.45 1.26 1.04 1.37 2.47 0.25 0.12 5.03 1.24 0.51 2.09 0.25 3.57 0.36 1.27 2.00 0.53 0.11 Zoe Masih
44 STMA 2.13 2.46 5.31 6.57 8.01 9.38 12.25 12.50 13.02 18.05 19.29 20.20 22.29 22.54 26.51 27.27 28.54 30.54 31.47 31.58 STMA
45 23.0 Eloise Lim 34.10 +23.56 0.275 0.637 0.849 1.47 0.30 4.04 0.57 0.45 7.00 0.33 0.26 1.00 2.34 1.17 0.20 0.59 0.35 1.51 0.16 2.24 5.48 0.43 0.21 Eloise Lim
46 DIOC 1.47 2.17 6.21 7.18 8.03 15.03 15.36 16.02 17.02 19.36 20.53 21.13 22.12 22.47 24.38 24.54 27.18 33.06 33.49 34.10 DIOC
47 24.0 Lilly Kerr 39.04 +28.50 0.058 0.792 0.969 1.03 0.31 1.17 3.08 0.41 0.34 0.35 12.14 0.42 5.48 2.49 1.53 0.56 0.30 2.31 1.00 1.10 0.53 0.38 0.11 Lilly Kerr
48 BARA 1.03 1.34 2.51 5.59 6.40 7.14 7.49 20.03 20.45 26.33 29.22 31.15 32.11 32.41 35.12 36.12 37.22 38.15 38.53 39.04 BARA
49 25.0 Abi Smith 41.28 +31.14 0.257 0.565 0.925 0.55 2.59 1.09 1.40 5.49 2.00 3.46 0.19 0.17 8.46 0.54 2.06 4.07 0.32 2.48 0.16 1.19 0.59 0.35 0.12 Abi Smith
50 PARN 0.55 3.54 5.03 6.43 12.32 14.32 18.18 18.37 18.54 27.40 28.34 30.40 34.47 35.19 38.07 38.23 39.42 40.41 41.16 41.28 PARN
51 26.0 Gemma Flaszynski 43.47 +33.33 0.075 0.666 0.983 0.59 0.25 1.58 7.18 0.40 0.36 0.37 12.11 0.46 5.44 2.53 1.52 0.53 0.30 2.35 0.55 1.14 0.51 0.36 0.14 Gemma Flaszynski
52 BARA 0.59 1.24 3.22 10.40 11.20 11.56 12.33 24.44 25.30 31.14 34.07 35.59 36.52 37.22 39.57 40.52 42.06 42.57 43.33 43.47 BARA
53 27.0 Elizabeth Lay 1:09.46 +59.32 0.295 0.677 0.967 2.00 0.43 1.41 3.24 4.09 0.33 0.28 0.13 0.16 46.48 1.04 0.35 1.04 0.35 1.33 0.38 1.56 0.40 1.14 0.12 Elizabeth Lay
54 PARN 2.00 2.43 4.24 7.48 11.57 12.30 12.58 13.11 13.27 1:00.15 1:01.19 1:01.54 1:02.58 1:03.33 1:05.06 1:05.44 1:07.40 1:08.20 1:09.34 1:09.46 PARN
55 DNF Alexa Silverstone 1:09.41 +59.27 None None None 2.00 0.42 1.41 3.25 4.08 0.34 0.27 0.16 0.13 46.49 0.54 0.25 mp mp mp mp mp mp mp mp Alexa Silverstone
56 PARN 2.00 2.42 4.23 7.48 11.56 12.30 12.57 13.13 13.26 1:00.15 1:01.09 1:01.34 PARN
57 DNS Anah-Maria Ioane mp None None None mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp Anah-Maria Ioane
58 STMA STMA
59 DNS Caitlin Kapua mp None None None mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp Caitlin Kapua
60 STCU STCU
61 DNS Elinor Collins mp None None None mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp Elinor Collins
62 BARA BARA
63 DNS Freida Coote mp None None None mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp Freida Coote
64 STCU STCU
65 DNS Mathilda Street mp None None None mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp mp Mathilda Street
66 BARA BARA
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