October NAC

Y-14 Women's Épée

Saturday, October 8, 2022 at 8:00 AM

Minneapolis, MN, USA

Probability density of pool victories

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Explore the pool victory probability density for each fencer, with their actual victories highlighted in a box. Learn more.

# Name Number of victories
0 1 2 3 4 5 6
1 YIN Julia - - - 1% 7% 33% 59%
2 SPRINGER Sierra - - 1% 5% 22% 42% 30%
3 WITTER Catherine A. - - - 3% 14% 39% 44%
3 TOLSMA Chloe (CJ) - - - 2% 12% 39% 47%
5 RAKHOVSKI Alexandra - - - 2% 13% 39% 46%
6 CHISHOLM Phoebe C. - - 1% 10% 31% 40% 18%
7 YAO Melinda - - 1% 5% 22% 42% 29%
8 SONG Angela - - 2% 10% 29% 40% 18%
9 AI Amy - - 1% 6% 24% 43% 27%
10 LEE REGINA - - - 5% 23% 44% 28%
11 BECKMAN Ana - - 3% 17% 36% 33% 11%
12 SMUK Alexandra S. - - 1% 9% 30% 41% 18%
13 KUMAR Anusha 1% 7% 22% 33% 26% 9% 1%
14 LEE Olivia - - 1% 7% 25% 42% 25%
15 MISHIMA Audrey 1% 7% 23% 35% 25% 8% 1%
16 PRESMAN Aerin 1% 7% 24% 36% 25% 7% 1%
17 SHIV Avni - - 1% 10% 31% 40% 18%
18 LEE Scarlett - 1% 7% 24% 37% 25% 6%
19 WATTANAKIT Anda - - 1% 9% 28% 40% 21%
20 SYKES Elynor - 3% 16% 34% 32% 13% 2%
21 CARRIER Meredith - 1% 10% 35% 37% 15% 2%
22 AZMEH nour - - 4% 17% 36% 32% 10%
23 KUMAR Eva - - 1% 7% 25% 43% 24%
24 QI Jarynne Valerie - - 2% 11% 31% 39% 16%
25 JAKEL Alysa C. - 1% 10% 28% 36% 20% 4%
26 SU Evelyn - - 1% 10% 33% 41% 16%
27 KOZLOWSKI Maya M. - - 2% 10% 30% 40% 19%
28 HUANG Lanlan - 1% 5% 19% 38% 31% 6%
29 NIX Reagan - 2% 13% 34% 34% 14% 2%
30 WALLER DEL VALLE Alanis 6% 27% 37% 23% 6% 1% -
31 ZHAN Nancy - 2% 11% 31% 36% 18% 3%
32 WALTER Anna 5% 23% 36% 25% 9% 1% -
33 RICHARDSON Meredith - 4% 19% 36% 29% 11% 1%
34 CAFASSO Natalya - - 3% 14% 33% 36% 14%
35 MALLAVARPU saanvi - - 4% 17% 37% 32% 9%
36 CHIRASHNYA Mika 2% 12% 29% 33% 19% 5% -
37 WANG Victoria 1% 13% 31% 33% 17% 4% -
37 MYRAH Vivienne - 4% 17% 34% 31% 12% 2%
39 WANG Jessie - 2% 12% 31% 35% 17% 2%
40 NGUYEN Ashley L. - 4% 18% 35% 30% 11% 1%
41 QIAN Irene - 5% 20% 34% 28% 10% 1%
41 SUN Hanya 1% 5% 19% 32% 29% 12% 2%
43 WANG Angelina - 3% 15% 34% 34% 13% 1%
44 LEE Yeriel 11% 41% 35% 11% 2% - -
45 PHUKAN Indra - 2% 10% 29% 36% 19% 4%
46 MENDOZA zoie 2% 12% 29% 34% 19% 5% -
47 HSIU Elizabeth - - 5% 24% 41% 25% 5%
48 SOBUS Yanka 1% 14% 37% 33% 13% 2% -
49 SUN Zeyu 2% 12% 31% 35% 17% 3% -
50 NGUYEN Jolie T. - 3% 13% 30% 35% 18% 3%
51 LEE Claire - 2% 11% 28% 35% 19% 3%
52 ZHU Serene M. - 1% 5% 18% 35% 32% 10%
52 DOUGLAS Marketa F. 2% 14% 32% 32% 16% 4% -
54 READ Lyla 8% 26% 35% 23% 7% 1% -
55 LEE Camilla - 2% 13% 31% 35% 17% 2%
56 NGUYEN Ella 6% 25% 37% 24% 7% 1% -
57 BEAVER Ava - - 2% 10% 28% 40% 21%
58 LIN Ariel 1% 13% 35% 34% 14% 3% -
59 WANG Ziqi (yoyo) - - 1% 8% 27% 42% 22%
60 SHEN Yongen 4% 18% 33% 29% 13% 3% -
61 BO GENESIS 39% 42% 16% 3% - - -
62 DEPOMMIER Isabelle 1% 8% 23% 33% 25% 9% 1%
63 BALAKRISHNAN Trisha 8% 27% 35% 22% 7% 1% -
64 MEYER Rachel 10% 30% 34% 19% 5% 1% -
65 GUAN Isabella - 2% 13% 30% 34% 17% 3%
66 MARTYNOVA Diana - 1% 9% 28% 37% 21% 4%
67 BHATT Anisha 4% 19% 34% 28% 12% 2% -
68 DONG Ava - 6% 22% 35% 26% 9% 1%
69 IYER Ishana 2% 12% 28% 34% 19% 5% -
70 KOVALCHUK Erika S. 1% 6% 24% 37% 25% 7% 1%
71 TANG RUIRUI 3% 18% 35% 30% 12% 2% -
72 VICKERMAN Aspen 11% 31% 34% 18% 5% 1% -
73 XU Celina 6% 25% 37% 24% 8% 1% -
74 SMOTRITSKY Liat 1% 9% 26% 36% 22% 6% -
75 CHUNG Penelope 10% 29% 34% 20% 6% 1% -
76 BLANCO Ariia 1% 13% 34% 33% 15% 3% -
77 SCHMITT Harper 6% 35% 38% 17% 4% - -
78 SHARMA Sanvi - - 2% 12% 31% 38% 17%
79 WONG Caitlin 3% 17% 36% 30% 12% 2% -
80 ELTERMAN Kate 31% 48% 18% 2% - - -
81 LIANG Jingjing 5% 26% 37% 23% 7% 1% -
82 MOLLINIER Angel 3% 18% 35% 30% 12% 2% -
83 LY Hannah 12% 34% 34% 16% 4% - -
84 MONOVA Lilyana 3% 20% 39% 28% 9% 1% -
85 LI Azalea - - 3% 17% 37% 33% 9%
86 MEYER Rebecca 9% 31% 37% 19% 4% - -
87 FENG Iris 1% 12% 31% 35% 17% 3% -
88 HOAGLAND Sally 16% 37% 32% 13% 2% - -
89 PAN Angela 4% 25% 45% 22% 4% - -
90 CHENG Katherine 3% 24% 38% 26% 8% 1% -
91 VARAN Kateryna 11% 37% 35% 14% 3% - -
92 PANG Ashley 7% 25% 36% 24% 8% 1% -
93 DESAI Ela 31% 42% 21% 5% 1% - -
93 KANE Chloe 10% 32% 36% 17% 4% - -
95 DAVIS Elisabeth 37% 44% 17% 3% - - -
96 SCHOR Elisabeth 21% 41% 29% 9% 1% - -
97 STERN Savannah 58% 34% 8% 1% - - -
98 JAMES Ashley 30% 47% 20% 3% - - -
98 CHANG chaehee 17% 43% 30% 9% 1% - -
100 CHADDA Farah 46% 40% 12% 2% - - -
101 YOUSSEF Caroline 39% 41% 17% 3% - - -
102 FREEMAN Kate 6% 23% 34% 25% 9% 2% -
102 ZOU You yang 67% 28% 4% - - - -
102 PYE Emily 34% 42% 19% 4% - - -
105 DAVIS Violet 66% 29% 4% - - - -

Explanation

The heatmap in this table provides a visual representation of the victory probability distribution for each fencer in their respective pools:

This heatmap visualization offers an immediate understanding of each fencer's expected performance compared to their actual results.