Capitol Clash SYC/RCC & Y8

Y-14 Women's Épée

Saturday, January 13, 2024 at 1:00 PM

Gaylord National Resort and Convention Center - National Harbor, MD, 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 QIU Emily - - - 5% 25% 45% 24%
2 LEE Gloria Y. - - 3% 14% 33% 36% 14%
3 WANG Ziqiao (Claire) - - 2% 11% 33% 42% 12%
3 SEREGIN Katya - - 2% 9% 27% 40% 23%
5 LI Azalea - - 1% 9% 31% 42% 17%
5 XU Sunia (Tai Yang) - - 5% 23% 42% 25% 5%
7 SCHMITT Harper - - - 1% 12% 40% 47%
8 STERN Savannah - 2% 13% 35% 34% 14% 2%
9 NIX Reagan - - - 2% 12% 40% 46%
10 ILYAS Ayah - - 2% 11% 32% 39% 16%
11 MISHIMA Audrey - - - 2% 13% 40% 44%
12 FRANGER Macy - - - 2% 15% 42% 41%
13 MCCLURE Samar - - 1% 8% 29% 42% 20%
14 LIN Laura - - 4% 18% 37% 33% 8%
15 PETROFF Eva 1% 10% 28% 35% 20% 5% 1%
16 HALE Avery < 1% 2% 11% 27% 34% 21% 5%
17 DEPOMMIER Isabelle - - - 1% 11% 38% 50%
18 LI Alice - 1% 4% 18% 36% 33% 8%
19 MA Sophie - - 1% 7% 25% 41% 26%
20 PILSON Rebecca - 3% 14% 29% 33% 17% 3%
21 TAM Connie - - 1% 6% 23% 42% 28%
22 CHEN Alina - 3% 14% 30% 34% 17% 3%
23 JIANG Serena - - 2% 14% 41% 43%
24 ELTERMAN Kate - - 2% 14% 35% 38% 11%
25 DU Andria 1% 10% 30% 36% 19% 4% -
26 WANG Sophie Y. - 1% 5% 20% 37% 29% 7%
27 CAMPBELL Eva - - - 5% 24% 45% 26%
28 PRESMAN Aerin - - - 1% 10% 39% 50%
29 WANG Selina - 6% 24% 37% 25% 7% 1%
30 KROPP Anne - - 4% 19% 39% 31% 7%
30 SHAYAKHMETOVA Suzanna - 3% 16% 34% 33% 13% 2%
32 XU Jessica - 4% 17% 34% 31% 12% 1%
33 NEELAM Navya - - - 4% 18% 42% 37%
34 NGUYEN Ella - - 1% 10% 30% 40% 18%
35 GANSER Nicole - - 2% 13% 33% 37% 14%
36 WONG Caitlin - - 2% 12% 31% 38% 16%
37 KANG Yenna - 2% 11% 29% 35% 20% 4%
38 SONG Charlotte 1% 8% 26% 37% 22% 6% 1%
39 BI Michelle - 4% 18% 35% 31% 11% 1%
40 DESANTIS-IBANEZ Elena 1% 13% 36% 35% 13% 1%
41 SHEFFIELD Skye - 3% 17% 38% 33% 9%
42 WONG Sydney - - 4% 17% 36% 33% 10%
43 NOVOJILOV Anastasia - - 1% 9% 28% 41% 22%
44 BOROTKO Katerina - - 1% 9% 29% 41% 20%
45 WANG Chloe 5% 22% 35% 27% 10% 1% -
46 FLITMAN Gabrielle - - 5% 20% 38% 29% 8%
47 ANDRUS Allie 2% 13% 33% 34% 15% 3% -
48 WU Madisen 1% 7% 23% 35% 25% 8% 1%
49 ANEZIOKORO Zahra - 1% 6% 22% 38% 27% 6%
50 WORKNEH Lulit 1% 7% 23% 36% 25% 7% 1%
51 ZHU Una 1% 10% 29% 35% 20% 5% -
52 GEFFNER Olivia 7% 27% 37% 22% 6% 1% -
53 SUICO Kyubi Emmanuelle - 1% 8% 24% 36% 24% 6%
53 LY Hannah 5% 25% 38% 24% 7% 1% -
55 LOBANOVA Varvara 1% 6% 23% 36% 25% 8% 1%
56 LI Caroline 2% 12% 28% 32% 19% 5% 1%
57 LEE Kate 4% 19% 35% 29% 11% 2% -
58 JEYOON Lauren 4% 20% 33% 28% 12% 2% -
58 HALL Isabelle 2% 19% 37% 29% 10% 2% -
60 ADYANTHAYA Anika 1% 10% 32% 38% 17% 2%
61 PEI Claire - 3% 13% 30% 34% 17% 2%
62 DESAI Ela 2% 14% 31% 33% 16% 3% -
63 VOSKOV Olivia 3% 15% 32% 32% 15% 3% -
64 YANG Eleanor 4% 18% 33% 29% 13% 3% -
65 QI Julieanne - - 2% 10% 28% 40% 21%
66 MONOVA Lilyana - - - 2% 13% 39% 45%
67 SECKINER Alya 9% 34% 39% 15% 3% - -
68 HOLDEN Helena 1% 6% 21% 35% 27% 9% 1%
69 KONG Mila W. 7% 25% 36% 24% 7% 1% -
70 ZHANG Jane - 1% 11% 32% 37% 16% 2%
71 SHETH Anayaà - 4% 18% 34% 30% 12% 2%
72 DHAIYA Tanya - 3% 14% 34% 35% 13% 1%
73 GOH Cayla - 1% 8% 28% 39% 21% 3%
74 WANG Cecilia - 4% 18% 34% 31% 11% 1%
75 YAO Chloe - 4% 18% 34% 30% 12% 1%
76 RICHARDS Axelle 3% 17% 33% 30% 13% 3% -
77 XU Mulan 25% 42% 26% 7% 1% - -
78 KUPPUSAMY Mahaa 5% 24% 38% 25% 7% 1% -
79 ORDORICA Abra 7% 29% 37% 20% 5% 1% -
80 MENKIN Kate 2% 17% 38% 32% 10% 1% -
81 KELLEY Elise 1% 6% 24% 37% 24% 7% 1%
82 WRIGHT Madison - 2% 13% 32% 35% 16% 2%
83 GAN Shelby 1% 12% 33% 36% 15% 2% -
84 WOOLF Fredrika 16% 35% 31% 14% 3% - -
85 XU Hua 20% 38% 29% 11% 2% - -
86 LI Nicole 17% 37% 31% 13% 3% - -
87 WEI Sherry - - 4% 18% 38% 32% 7%
88 ZHAN Clare 10% 32% 36% 18% 4% - -
89 TISHKOVA-ROBERTS Daria 1% 11% 31% 36% 17% 3% -
90 LIN Cynthia 1% 11% 32% 36% 16% 3% -
91 HALE Reagan 7% 30% 37% 20% 5% 1% -
92 BUNCH Halle 37% 42% 17% 3% - - -
93 JIANG chenxi 17% 38% 31% 12% 2% - -
94 CAO Carolyn 2% 19% 38% 29% 10% 2% -
95 WONG Angelina 1% 11% 30% 34% 18% 5% -
96 CAMARGO Rafaela 1% 11% 31% 37% 17% 3% -
97 SHEIKH PAREE 4% 29% 40% 21% 5% -
98 GARG Suhani 67% 28% 5% - - - -
99 BURT Emmalyne Grace 9% 30% 35% 19% 5% 1% -
100 CHEN Allison 45% 42% 12% 1% - - -
101 SUN Karolyn 1% 8% 29% 37% 20% 5% -
102 LEVKOV Maita 46% 39% 13% 2% - - -
103 HOWARD Katherine 43% 41% 14% 2% - - -
104 PRAVEEN Nehara 8% 31% 37% 19% 4% - -
105 PERERA Chloe 28% 42% 23% 6% 1% - -
106 JU Jennifer 13% 38% 34% 13% 2% - -
106 GALINSKY Lana - 5% 23% 37% 26% 8% 1%
108 YU Livia 18% 39% 30% 10% 2% - -
109 NAPOLI Eleanor 6% 27% 38% 22% 6% 1% -
110 MISHIMA Olivia 29% 46% 21% 4% - - -
110 NING Miranda 41% 42% 14% 2% - - -
112 SHABBIR Aiza 24% 41% 26% 7% 1% - -
113 HOWARD Brielle 18% 39% 30% 11% 2% - -
114 GOCHBERG Madeline 7% 27% 37% 22% 6% 1% -
115 ERBER Liberty 7% 30% 38% 20% 5% - -
116 IYENGAR Sthuthi 2% 16% 37% 32% 11% 2% -
116 LAMBA Sayona 2% 13% 30% 34% 18% 4% -
118 REISNER Gabriella 1% 10% 28% 35% 20% 4% -
119 YOUN Emily 66% 29% 5% - - - -
120 XIAO Katelyn 9% 35% 38% 15% 3% - -
121 YUE SHANNON 7% 28% 36% 21% 6% 1% -
122 MEMON Insha 68% 28% 4% - - -
123 BERGAN Bailey 11% 37% 36% 13% 2% - -
124 CHAKRAPANI Tara 30% 43% 22% 5% - - -
125 BLAKE Bianca 2% 18% 41% 32% 7% 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.