Capitol Clash SYC/RCC

Y-14 Women's Épée

Saturday, January 14, 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 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 LEE Scarlett - - - 5% 39% 56%
2 PROFIS Liora - - - 4% 21% 47% 27%
3 JAKEL Alysa C. - - - 3% 18% 46% 33%
3 SUN Zeyu - - 4% 20% 39% 30% 6%
5 SHIV Avni - - - 2% 13% 40% 45%
6 KUMAR Anusha - - 1% 6% 23% 41% 29%
7 AZMEH nour - - 2% 15% 44% 39%
8 MONOVA Lilyana 1% 11% 30% 36% 18% 3%
9 SOBUS Yanka - - 4% 25% 46% 25%
10 CAFASSO Natalya - - - - 2% 21% 77%
11 ZHAN Nancy - - - 5% 21% 44% 30%
12 NIX Reagan - - - 3% 17% 44% 36%
13 CARRIER Meredith - - - 2% 13% 40% 44%
14 DEPOMMIER Isabelle - - 1% 6% 26% 46% 21%
15 ZHU Serene M. - - - 2% 12% 41% 46%
16 QIU Emily - - 2% 18% 55% 25%
17 WITTER Catherine A. - - - - 1% 15% 84%
18 BECKMAN Ana - - - - 6% 32% 62%
19 PRESMAN Aerin - 2% 10% 25% 33% 23% 6%
20 NGUYEN Ella - - 3% 21% 43% 30% 3%
21 MCCLURE Samar - 2% 11% 31% 39% 16% 1%
22 LEE Claire - 1% 5% 23% 43% 28%
23 PAN Angela - 3% 19% 39% 31% 8%
24 HOAGLAND Sally 2% 13% 30% 33% 17% 4% -
25 LEE Yeriel 1% 8% 25% 36% 23% 6% 1%
26 MEYER Rebecca - 1% 8% 34% 41% 15% 1%
27 NOVOJILOV Anastasia - 1% 6% 24% 39% 26% 5%
28 SCHMITT Harper 3% 19% 38% 30% 9% 1%
29 SUICO Kyubi Emmanuelle - 8% 32% 39% 18% 3%
30 AGAON Evelyn - 2% 16% 42% 33% 7%
31 KOVALCHUK Erika S. - 3% 12% 27% 33% 20% 5%
32 PILSON Rebecca 1% 8% 26% 37% 23% 5%
33 LUO Amy - - 2% 11% 33% 41% 13%
34 TANG RUIRUI - - 2% 13% 42% 40% 4%
35 MEYER Rachel - 5% 18% 35% 31% 10% 1%
36 GUAN Isabella - - 1% 7% 27% 44% 22%
37 GANSER Nicole - 3% 22% 54% 20% 2%
38 NEELAM Navya - 1% 9% 30% 41% 19%
39 BAWA Jenya - 4% 19% 37% 29% 9% 1%
40 WALTER Anna 1% 10% 30% 36% 18% 3% -
41 CHUANG Ramona - - 5% 23% 46% 25% 1%
42 TAM Connie - 3% 24% 43% 26% 5% -
43 PETROFF Eva 1% 10% 28% 35% 20% 5% -
44 WOOLF Fredrika 2% 15% 38% 34% 10% 1% -
45 QI Julieanne - 1% 11% 33% 39% 16%
46 MURPHY Katherine 8% 32% 38% 18% 4% -
47 MALLAVARPU saanvi - 1% 6% 27% 46% 20%
48 WRIGHT Madison 20% 42% 29% 8% 1% -
49 WANG Zoe 2% 10% 26% 32% 22% 7% 1%
50 DHAIYA Tanya 3% 21% 39% 28% 8% 1% -
51 MARTINEZ Christina 1% 11% 31% 36% 17% 3% -
52 WU Madisen 6% 22% 34% 26% 10% 2% -
53 LY Hannah 6% 22% 34% 26% 10% 2% -
54 VICKERMAN Aspen 2% 12% 28% 32% 19% 6% 1%
55 LEE Gloria - 3% 13% 28% 32% 19% 4%
56 BO GENESIS 3% 15% 31% 31% 16% 4% -
57 FERREIRA DE MELO Adriana - - 4% 23% 47% 27%
58 ILYAS Ayah 5% 43% 40% 11% 1% -
59 SMOTRITSKY Liat - 1% 7% 31% 43% 16% 2%
60 MA Sophie 2% 10% 26% 32% 21% 7% 1%
61 DESAI Ela 7% 29% 38% 21% 5% - -
62 WANG Ziqiao 1% 6% 21% 36% 28% 8% 1%
63 LIN Laura 21% 42% 28% 8% 1% -
64 DESANTIS-IBANEZ Elena 4% 20% 36% 28% 10% 1% -
65 MCKENNA Analise - 4% 18% 37% 31% 9% 1%
66 NGUYEN Ashley L. - 1% 5% 19% 35% 31% 9%
67 WEI Sherry 2% 24% 47% 23% 4% -
68 MISHIMA Audrey - - 3% 15% 35% 37% 10%
69 GAVASHELI Margarita 9% 31% 36% 19% 5% - -
70 JI Catherine 1% 10% 29% 37% 19% 4% -
71 CAO Carolyn 23% 43% 26% 7% 1% - -
72 PARK elli 18% 45% 31% 5% - -
73 SNYDER Kathryn 9% 31% 37% 19% 4% -
74 GARG Suhani 56% 38% 6% - - - -
75 D'ANGELO Olivia 14% 35% 33% 15% 3% - -
76 STERN Savannah 2% 12% 30% 34% 18% 4% -
77 LI Caroline 4% 22% 39% 26% 7% 1% -
78 WANG Sijia 27% 42% 24% 6% 1% - -
79 GAN Shelby 7% 26% 36% 23% 7% 1% -
80 YAO Chloe 34% 42% 20% 4% - - -
81 TISHKOVA-ROBERTS Daria 3% 19% 39% 30% 8% 1% -
82 SECKINER Alya 22% 42% 28% 7% 1% - -
83 LI Nicole 25% 42% 25% 7% 1% - -
84 WONG Caitlin 3% 19% 39% 30% 8% 1%
85 LI Xiang (Shining) 20% 48% 26% 5% 1% -
86 ZOU You yang (Yoyo) 14% 43% 36% 7% - -
87 LI Alice - 4% 18% 36% 31% 9% 1%
88 JEYOON Lauren 23% 43% 26% 7% 1% - -
88 CHEN Alina 6% 22% 34% 26% 10% 2% -
90 BOGDANOVSKAYA Elizaveta 2% 11% 27% 33% 21% 6% 1%
90 KELLEY Elise 16% 39% 33% 11% 2% - -
92 HALL Isabelle 12% 33% 34% 17% 4% - -
93 BI Michelle 22% 38% 27% 10% 2% - -
94 LIANG Angela 3% 20% 40% 30% 7% 1% -
95 COMBS Hannah 19% 43% 29% 8% 1% - -
96 TOSH Audrey 11% 33% 35% 16% 3% - -
97 POZAS Vida 46% 40% 12% 2% - - -
98 BARNETT-PAO Nora - 1% 18% 60% 19% 2% -
99 WORKNEH Lulit 4% 22% 38% 27% 8% 1% -
100 SEREGIN Katya 2% 13% 34% 34% 14% 3% -
101 BUNCH Halle 82% 17% 1% - - -
102 LASCIALFARE Isabella 51% 41% 8% 1% - -
103 KRISHNA Rithika 32% 47% 19% 2% - -
104 PERERA Chloe 6% 27% 39% 23% 5% -
105 BURT Emmalyne Grace 18% 43% 30% 8% 1% - -
106 ALAWNEH Lujain 1% 9% 28% 37% 20% 5% -
107 KENNEDY Shea 25% 58% 16% 2% - - -

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.