The future of US Fencing is at stake!

For transparency, fairness, and athlete support, VOTE NOW for:
(1) Maria Panyi, (2) Andrey Geva, (3) Igor Chirashnya, and (4) Sue Moheb.

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 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 QIU Emily 100% 100% 100% 100% 94% 69% 24%
2 LEE Gloria Y. 100% 100% 100% 97% 83% 50% 14%
3 WANG Ziqiao (Claire) 100% 100% 100% 98% 86% 54% 12%
3 SEREGIN Katya 100% 100% 100% 98% 89% 63% 23%
5 LI Azalea 100% 100% 100% 99% 90% 59% 17%
5 XU Sunia (Tai Yang) 100% 100% 100% 95% 72% 30% 5%
7 SCHMITT Harper 100% 100% 100% 100% 99% 87% 47%
8 STERN Savannah 100% 100% 98% 85% 50% 16% 2%
9 NIX Reagan 100% 100% 100% 100% 98% 86% 46%
10 ILYAS Ayah 100% 100% 100% 98% 87% 55% 16%
11 MISHIMA Audrey 100% 100% 100% 100% 98% 84% 44%
12 FRANGER Macy 100% 100% 100% 100% 98% 83% 41%
13 MCCLURE Samar 100% 100% 100% 99% 91% 62% 20%
14 LIN Laura 100% 100% 100% 96% 78% 40% 8%
15 PETROFF Eva 100% 99% 89% 61% 26% 6% 1%
16 HALE Avery 100% 100% 98% 87% 60% 26% 5%
17 DEPOMMIER Isabelle 100% 100% 100% 100% 99% 88% 50%
18 LI Alice 100% 100% 99% 95% 77% 41% 8%
19 MA Sophie 100% 100% 100% 99% 91% 67% 26%
20 PILSON Rebecca 100% 100% 97% 83% 54% 21% 3%
21 TAM Connie 100% 100% 100% 99% 94% 70% 28%
22 CHEN Alina 100% 100% 97% 83% 53% 19% 3%
23 JIANG Serena 100% 100% 100% 98% 84% 43%
24 ELTERMAN Kate 100% 100% 100% 97% 84% 49% 11%
25 DU Andria 100% 99% 89% 59% 23% 4% -
26 WANG Sophie Y. 100% 100% 99% 94% 73% 37% 7%
27 CAMPBELL Eva 100% 100% 100% 100% 94% 71% 26%
28 PRESMAN Aerin 100% 100% 100% 100% 99% 89% 50%
29 WANG Selina 100% 100% 94% 70% 33% 8% 1%
30 KROPP Anne 100% 100% 100% 96% 77% 39% 7%
30 SHAYAKHMETOVA Suzanna 100% 100% 97% 81% 48% 15% 2%
32 XU Jessica 100% 100% 96% 79% 44% 13% 1%
33 NEELAM Navya 100% 100% 100% 100% 96% 78% 37%
34 NGUYEN Ella 100% 100% 100% 98% 89% 58% 18%
35 GANSER Nicole 100% 100% 100% 98% 85% 52% 14%
36 WONG Caitlin 100% 100% 100% 98% 86% 54% 16%
37 KANG Yenna 100% 100% 98% 88% 59% 23% 4%
38 SONG Charlotte 100% 99% 91% 65% 28% 6% 1%
39 BI Michelle 100% 100% 96% 78% 43% 12% 1%
40 DESANTIS-IBANEZ Elena 100% 99% 86% 49% 14% 1%
41 SHEFFIELD Skye 100% 100% 97% 80% 42% 9%
42 WONG Sydney 100% 100% 100% 96% 79% 44% 10%
43 NOVOJILOV Anastasia 100% 100% 100% 99% 90% 62% 22%
44 BOROTKO Katerina 100% 100% 100% 99% 90% 61% 20%
45 WANG Chloe 100% 95% 73% 38% 11% 1% -
46 FLITMAN Gabrielle 100% 100% 100% 95% 75% 37% 8%
47 ANDRUS Allie 100% 98% 85% 52% 18% 3% -
48 WU Madisen 100% 99% 92% 68% 33% 8% 1%
49 ANEZIOKORO Zahra 100% 100% 99% 94% 72% 33% 6%
50 WORKNEH Lulit 100% 99% 93% 70% 34% 8% 1%
51 ZHU Una 100% 99% 89% 60% 25% 5% -
52 GEFFNER Olivia 100% 93% 66% 29% 7% 1% -
53 SUICO Kyubi Emmanuelle 100% 100% 99% 91% 67% 30% 6%
53 LY Hannah 100% 95% 70% 31% 8% 1% -
55 LOBANOVA Varvara 100% 99% 93% 70% 34% 9% 1%
56 LI Caroline 100% 98% 86% 57% 25% 6% 1%
57 LEE Kate 100% 96% 77% 42% 13% 2% -
58 JEYOON Lauren 100% 96% 76% 42% 15% 3% -
58 HALL Isabelle 100% 98% 79% 41% 12% 2% -
60 ADYANTHAYA Anika 100% 99% 90% 57% 19% 2%
61 PEI Claire 100% 100% 97% 84% 54% 19% 2%
62 DESAI Ela 100% 98% 84% 53% 20% 4% -
63 VOSKOV Olivia 100% 97% 82% 50% 18% 3% -
64 YANG Eleanor 100% 96% 78% 44% 15% 3% -
65 QI Julieanne 100% 100% 100% 98% 89% 60% 21%
66 MONOVA Lilyana 100% 100% 100% 100% 97% 84% 45%
67 SECKINER Alya 100% 91% 57% 18% 3% - -
68 HOLDEN Helena 100% 99% 93% 72% 37% 10% 1%
69 KONG Mila W. 100% 93% 68% 32% 8% 1% -
70 ZHANG Jane 100% 100% 98% 88% 55% 19% 2%
71 SHETH Anayaà 100% 100% 96% 77% 43% 13% 2%
72 DHAIYA Tanya 100% 100% 97% 83% 49% 15% 1%
73 GOH Cayla 100% 100% 99% 91% 63% 25% 3%
74 WANG Cecilia 100% 100% 95% 78% 43% 13% 1%
75 YAO Chloe 100% 100% 96% 78% 44% 13% 1%
76 RICHARDS Axelle 100% 97% 80% 47% 16% 3% -
77 XU Mulan 100% 75% 33% 8% 1% - -
78 KUPPUSAMY Mahaa 100% 95% 71% 33% 8% 1% -
79 ORDORICA Abra 100% 93% 64% 26% 6% 1% -
80 MENKIN Kate 100% 98% 81% 43% 11% 1% -
81 KELLEY Elise 100% 99% 93% 69% 32% 7% 1%
82 WRIGHT Madison 100% 100% 98% 85% 53% 18% 2%
83 GAN Shelby 100% 99% 87% 54% 18% 3% -
84 WOOLF Fredrika 100% 84% 49% 17% 4% - -
85 XU Hua 100% 80% 42% 13% 2% - -
86 LI Nicole 100% 83% 47% 16% 3% - -
87 WEI Sherry 100% 100% 100% 95% 77% 39% 7%
88 ZHAN Clare 100% 90% 58% 22% 4% - -
89 TISHKOVA-ROBERTS Daria 100% 99% 88% 56% 20% 3% -
90 LIN Cynthia 100% 99% 88% 56% 20% 3% -
91 HALE Reagan 100% 93% 63% 26% 6% 1% -
92 BUNCH Halle 100% 63% 21% 3% - - -
93 JIANG chenxi 100% 83% 46% 14% 2% - -
94 CAO Carolyn 100% 98% 79% 41% 12% 2% -
95 WONG Angelina 100% 99% 88% 57% 23% 5% -
96 CAMARGO Rafaela 100% 99% 88% 57% 20% 3% -
97 SHEIKH PAREE 100% 96% 67% 26% 5% -
98 GARG Suhani 100% 33% 5% - - - -
99 BURT Emmalyne Grace 100% 91% 60% 25% 6% 1% -
100 CHEN Allison 100% 55% 13% 1% - - -
101 SUN Karolyn 100% 99% 91% 62% 25% 5% -
102 LEVKOV Maita 100% 54% 15% 2% - - -
103 HOWARD Katherine 100% 57% 16% 2% - - -
104 PRAVEEN Nehara 100% 92% 60% 24% 5% - -
105 PERERA Chloe 100% 72% 30% 7% 1% - -
106 JU Jennifer 100% 87% 49% 15% 2% - -
106 GALINSKY Lana 100% 100% 95% 72% 35% 9% 1%
108 YU Livia 100% 82% 43% 12% 2% - -
109 NAPOLI Eleanor 100% 94% 67% 29% 7% 1% -
110 MISHIMA Olivia 100% 71% 25% 4% - - -
110 NING Miranda 100% 59% 16% 2% - - -
112 SHABBIR Aiza 100% 76% 34% 8% 1% - -
113 HOWARD Brielle 100% 82% 43% 12% 2% - -
114 GOCHBERG Madeline 100% 93% 66% 29% 7% 1% -
115 ERBER Liberty 100% 93% 64% 25% 5% - -
116 IYENGAR Sthuthi 100% 98% 82% 45% 13% 2% -
116 LAMBA Sayona 100% 98% 85% 55% 22% 4% -
118 REISNER Gabriella 100% 99% 88% 60% 25% 5% -
119 YOUN Emily 100% 34% 5% - - - -
120 XIAO Katelyn 100% 91% 56% 18% 3% - -
121 YUE SHANNON 100% 93% 64% 28% 7% 1% -
122 MEMON Insha 100% 32% 4% - - -
123 BERGAN Bailey 100% 89% 51% 15% 2% - -
124 CHAKRAPANI Tara 100% 70% 27% 5% - - -
125 BLAKE Bianca 100% 98% 80% 39% 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.