Capitol Clash SYC/RCC

Cadet Women's Épée

Monday, January 16, 2023 at 1:00 PM

Gaylord National Resort and Convention Center - National Harbor, DC, USA

Probability density of pool victories

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Explore the probability of achieving at least a certain number of victories in the pool 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 WITTER Catherine A. 100% 100% 100% 100% 99% 88% 50%
2 YANG Alisa 100% 100% 100% 100% 98% 88% 50%
3 BECKMAN Ana 100% 100% 100% 100% 99% 90% 54%
3 ZHAN Nancy 100% 100% 99% 90% 60% 22% 3%
5 LEE Scarlett 100% 100% 100% 100% 97% 77% 32%
6 ZHU Serene M. 100% 100% 100% 98% 88% 59% 20%
7 FERREIRA DE MELO Adriana 100% 100% 96% 79% 47% 16% 2%
8 TANG RUIRUI 100% 99% 91% 67% 32% 8% 1%
9 PINNAMANENI Drithi 100% 100% 99% 92% 70% 33% 7%
10 ZANGA Kaitlyn 100% 100% 97% 84% 55% 22% 4%
11 AZMEH nour 100% 100% 100% 97% 85% 54% 17%
12 JAKEL Alysa C. 100% 100% 99% 91% 60% 15%
13 YOU Emily 100% 100% 100% 98% 84% 49% 12%
14 MONOVA Lilyana 100% 100% 99% 93% 69% 30% 4%
15 SUN Zeyu 100% 100% 100% 95% 73% 33% 5%
16 CAFASSO Natalya 100% 100% 100% 98% 84% 32%
17 NGUYEN Ashley L. 100% 100% 100% 96% 75% 35% 6%
18 MALLAVARPU Aarthi C. 100% 100% 100% 97% 77% 32%
19 LIN Elaine 100% 100% 100% 100% 95% 73% 30%
20 SHIV Avni 100% 100% 100% 100% 98% 86% 46%
21 KUMAR Anusha 100% 100% 99% 92% 66% 27% 4%
22 DEPOMMIER Isabelle 100% 100% 100% 94% 67% 25% 3%
23 CARRIER Meredith 100% 100% 99% 90% 59% 18%
24 PEELER Julia 100% 100% 100% 99% 93% 65% 21%
25 NOVOJILOV Anastasia 100% 99% 90% 65% 31% 8% 1%
26 LIU Baihan 100% 99% 89% 63% 29% 7% 1%
27 QIU Emily 100% 100% 99% 90% 61% 23% 3%
28 LU Samantha R. 100% 100% 100% 99% 89% 44%
29 CHANG Chloe 100% 89% 54% 17% 2% -
30 MALLAVARPU saanvi 100% 100% 100% 94% 70% 26%
31 MISHIMA Audrey 100% 99% 88% 55% 14% 1%
32 LUO Amy 100% 100% 97% 81% 41% 9%
33 ZUCKER Emily A. 100% 89% 58% 23% 5% 1% -
34 WALTER Anna 100% 96% 75% 33% 5% -
35 LEE Claire 100% 100% 99% 90% 60% 22% 3%
36 SOBUS Yanka 100% 100% 99% 92% 69% 32% 6%
37 JOHNSON Merit 100% 95% 70% 28% 4% -
38 BARDIN Kira 100% 85% 45% 12% 1% -
39 LY Hannah 100% 97% 77% 39% 11% 1% -
40 VICKERMAN Sofia 100% 100% 98% 87% 56% 19% 2%
41 GUJJA Misha 100% 100% 100% 99% 92% 67% 26%
42 BAWA Jenya 100% 90% 60% 25% 6% 1% -
43 MAHMUD Subaita 100% 96% 73% 33% 8% 1% -
44 KOVALCHUK Erika S. 100% 97% 81% 49% 18% 3% -
45 GAVASHELI Margarita 100% 79% 34% 7% 1% - -
46 KIM Kailyn 100% 85% 49% 17% 3% - -
47 WONG Caitlin 100% 100% 97% 81% 46% 13% 1%
48 ILYAS Ayah 100% 73% 29% 5% - -
49 MCKENNA Analise 100% 86% 46% 12% 1% -
50 BO GENESIS 100% 87% 49% 17% 3% - -
51 HOAGLAND Sally 100% 82% 41% 10% 1% - -
52 LEEB Zoe 100% 74% 29% 5% - - -
53 GUAN Isabella 100% 100% 99% 89% 59% 21% 3%
54 VICKERMAN Aspen 100% 88% 56% 22% 5% 1% -
55 YOU Isabel B. 100% 99% 93% 73% 39% 11% 1%
56 HU Chelsea 100% 100% 95% 78% 46% 16% 2%
57 COLELLA Lauren 100% 86% 52% 19% 4% - -
58 CHUANG Ramona 100% 94% 70% 34% 10% 1% -
59 LIU Nicole 100% 100% 100% 96% 81% 48% 13%
60 NGUYEN Ella 100% 100% 97% 81% 42% 11% 1%
61 NIX Reagan 100% 100% 99% 90% 66% 29% 4%
62 GLAZ Alison 100% 64% 19% 3% - - -
63 MUELLER Kaitlin 100% 85% 46% 12% 2% - -
64 BROOKS Taylor 100% 93% 66% 31% 8% 1% -
65 ALAWNEH Leen 100% 97% 80% 44% 13% 1%
66 VICKERMAN Lilly 100% 100% 99% 83% 43% 11% 1%
67 WANG Sijia 100% 73% 28% 6% 1% - -
68 WANG Zoe 100% 96% 76% 41% 13% 2% -
69 JI Catherine 100% 99% 88% 43% 10% 1% -
69 RITTER Brooklyn 100% 99% 90% 63% 28% 7% 1%
71 BOGDANOVSKAYA Elizaveta 100% 86% 50% 17% 3% - -
72 MURPHY Katherine 100% 86% 46% 12% 1% -
73 TANG Elaine 100% 97% 78% 37% 9% 1% -
74 ANAR Yesui 100% 79% 24% 3% - - -
75 NOH Rachel 100% 81% 39% 8% 1% - -
76 KRISHNA Rithika 100% 72% 25% 3% - - -
77 KENNEDY Shea 100% 40% 4% - - - -
78 MAGALSKI Mary 100% 98% 87% 59% 25% 5% -
79 ANAR Yesugen 100% 71% 27% 4% - -
80 GAN Shelby 100% 66% 22% 3% - -
81 SANTORO Chloe 100% 81% 39% 10% 1% - -

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.