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.

Take Action

December NAC

Cadet Women's Épée

Thursday, December 9, 2021 at 1:00 PM

Columbus, OH, USA

Probability density of pool victories

Reset

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 GU Sarah - - - 3% 16% 41% 40%
2 YIN Julia 1% 8% 27% 37% 22% 5%
3 KHAMIS Yasmine A. - - - - 2% 22% 76%
3 MAO Amy - 2% 16% 39% 34% 10%
5 LIU Christina A. - - - 3% 17% 42% 38%
6 CHIN Isabella - - 1% 11% 39% 49%
7 WANG Nora - 1% 6% 20% 34% 29% 9%
8 HU Grace - - 1% 12% 40% 47%
9 NGUYEN Tallulah - - 2% 12% 34% 39% 13%
10 KUZNETSOV Victoria - - 2% 10% 29% 39% 19%
11 DESAI Meera P. - - 4% 18% 37% 33% 9%
12 LAVERY Chloe K. - 1% 7% 23% 37% 26% 7%
13 DOROSHKEVICH Victoriia - - 1% 8% 27% 41% 23%
14 XIAO Ruien - 2% 12% 30% 35% 18% 3%
15 BEZUGLAYA Varvara 1% 8% 25% 35% 23% 7% 1%
16 FALLON Kyle R. - - 2% 14% 41% 42%
17 YAO Melinda 2% 15% 34% 34% 13% 2%
18 GAJJALA Sharika R. - - - 4% 20% 44% 32%
19 LEUNG Natalie - - 2% 12% 31% 38% 17%
20 NING Emma - - 2% 11% 33% 39% 14%
20 LEUNG Wan Kiu Hayley - 1% 9% 28% 37% 20% 4%
22 GEBALA Natalie Brooke A. - 1% 8% 29% 42% 21%
23 LIN Waiyuk 2% 13% 34% 37% 15%
24 MACHULSKY Leehi - - - 1% 8% 35% 56%
25 DROVETSKY Alexandra M. - - - 2% 11% 38% 49%
26 YANG Alisa - 3% 14% 31% 33% 16% 3%
27 ZHANG Tina Tianyi - - 2% 11% 32% 39% 16%
28 ZHANG Victoria R. - 1% 11% 31% 37% 17% 3%
28 CAPELLUA Mariasole - - 4% 16% 35% 35% 10%
28 KORFONTA Jolie - - 5% 23% 41% 27% 4%
31 YU Nicole J. - - 5% 22% 40% 27% 6%
32 REMEZA Alissa 5% 24% 39% 26% 6%
33 LU Shiqi - 1% 8% 24% 35% 25% 7%
34 SEBASTIAN Felicity A. - - 1% 5% 22% 42% 30%
35 LIN Katie Y. - - - 4% 21% 43% 31%
36 GUMAGAY Erika L. - 2% 12% 31% 35% 17% 3%
37 SMOTRITSKY Mia - 1% 8% 27% 40% 23% 2%
38 REID Anousheh - 3% 15% 31% 32% 16% 3%
39 TEMIRYAEV Anna M. - 4% 22% 41% 28% 5%
40 LI Yuhe 2% 13% 32% 34% 16% 3%
41 XUAN Nicole J. - 3% 15% 36% 36% 10%
42 LEE Yedda 5% 26% 39% 24% 5%
43 PADHYE Tanishka - 1% 6% 22% 37% 27% 7%
44 ELSTON Sophia - 6% 24% 38% 25% 7% -
45 LEE Michelle J. - - 1% 7% 25% 41% 26%
46 ALEXANDROV Katherine S. - 1% 6% 22% 38% 27% 6%
47 HAFEEZ Hiba - 3% 18% 37% 31% 9% 1%
48 GUJJA Misha 2% 11% 28% 34% 20% 5% -
49 LONADIER Keira - 5% 20% 35% 29% 10% 1%
50 KIM Zoe L. - 1% 5% 20% 37% 29% 8%
51 ZIGALO Elizabeth - 2% 11% 31% 39% 17%
52 JAKEL Sophia N. - 2% 12% 32% 38% 17%
52 CHEN Lefu - 3% 14% 34% 36% 13%
54 SEMIKIN Julia - 1% 9% 31% 42% 18%
55 MEHROTRA Anya - 2% 11% 31% 39% 18%
56 PULLEN Ayah 18% 43% 30% 8% 1% -
57 REID Sobia - 5% 23% 40% 27% 5%
58 COSTA Leah 36% 44% 17% 3% - -
59 MUELLER Emma M. 1% 8% 28% 38% 21% 5% -
60 YAO KATHARINE 1% 12% 32% 34% 17% 4% -
61 GORNOVSKY Abigail - 1% 9% 26% 36% 22% 5%
62 RAKHOVSKI Alexandra - 5% 23% 38% 26% 7% 1%
63 RUNIONS Emersyn 2% 13% 34% 37% 14%
64 DUMAS Marie 2% 21% 41% 27% 7% 1%
65 CALDERA Lexi I. - 2% 12% 30% 36% 18% 2%
66 PAPADAKIS Lily - 1% 8% 26% 37% 23% 5%
67 TOLSMA Chloe (CJ) - 5% 23% 39% 26% 6% -
68 SWENSON Nikita G. 5% 36% 41% 16% 2% -
69 LIN Elaine 2% 16% 38% 33% 11% 1%
70 YU Sheerea 10% 33% 37% 16% 3% - -
71 JAKEL Alysa C. 4% 23% 37% 26% 9% 1% -
72 ZHAO Ivy 5% 26% 40% 22% 5% 1% -
73 BECKMAN Ana 1% 12% 30% 34% 18% 4% -
74 WONG Alexandra R. 1% 9% 27% 35% 21% 6% -
75 SHIV Avni 1% 10% 31% 35% 18% 4% -
75 FAN Elizabeth 16% 37% 32% 13% 3% - -
77 MALLAVARPU Saanvi 32% 42% 21% 4% -
78 TAYLOR-CASAMAYOR Maia - 3% 16% 35% 33% 12% 1%
79 YOU Emily 4% 20% 38% 28% 9% 2% -
80 MCCUTCHEN Lauren (Lulu) - 3% 16% 33% 32% 14% 2%
81 MALLAVARPU Aarthi C. - 5% 23% 40% 27% 5%
82 LEE yat ching 13% 35% 34% 14% 3% -
83 HAFEEZ Hania 4% 19% 36% 30% 11% 1%
84 SHEN Stephanie 2% 15% 34% 33% 14% 2%
85 KORKIN Alice 12% 40% 35% 12% 2% -
86 SCHULTZ Gillian 12% 34% 35% 16% 3% -
87 LEE Olivia 24% 42% 26% 7% 1% -
88 BAKSA Frances E. - 2% 12% 27% 34% 20% 5%
89 KIM Jayna 1% 15% 35% 32% 14% 3% -
90 ZHU Serene M. 1% 7% 22% 35% 26% 8% 1%
91 TRAN Helena 7% 25% 34% 23% 8% 1% -
92 LIN Ashley 6% 27% 37% 23% 7% 1% -
93 NELSON-LOVE Lily B. - 1% 6% 21% 36% 28% 7%
93 NEMETH Katherine - 2% 13% 34% 35% 15% 2%
93 CALLAGHAN Haleena 2% 18% 35% 30% 12% 2% -
96 HONG Elaine 1% 13% 33% 34% 16% 3% -
97 DOUGLAS Marketa F. 20% 48% 26% 6% 1% - -
98 CARRIER Meredith 16% 43% 31% 9% 1% - -
99 POPA Catherine 6% 36% 38% 16% 3% - -
100 SUN Renee R. 3% 15% 32% 31% 15% 4% -
101 KRUMHOLZ Nicole 11% 31% 35% 18% 5% 1% -
101 LI Zhenni (Jenny) 10% 40% 36% 13% 2% - -
101 JOYAL Anne-Sophie - 5% 22% 38% 27% 7% -
104 PRIHODKO Nina 1% 15% 34% 32% 14% 3% -
105 LI Alisha 2% 12% 32% 34% 16% 3% -
106 NGUYEN Julia 1% 8% 25% 35% 23% 7% 1%
107 MUN Brianna K. 1% 11% 33% 36% 16% 3% -
108 KALE Anika A. - 3% 19% 40% 31% 7%
109 ZENG Katrina 20% 40% 29% 10% 2% -
110 WITTER Catherine A. 6% 25% 38% 24% 6% 1%
111 TANG Elaine 22% 48% 25% 5% - - -
112 AI Amy 9% 30% 35% 20% 6% 1% -
113 HICKS Grace 5% 21% 35% 27% 10% 2% -
114 CHANG Ella 18% 41% 30% 10% 2% - -
115 LEWIS Rachel 23% 49% 23% 4% - - -
116 RAUSCH Juliana 22% 39% 27% 10% 2% - -
117 KIZILBASH Zara 15% 37% 33% 13% 2% -
118 WANG Angelina 47% 40% 12% 1% - -
119 PEELER Julia 3% 18% 40% 30% 9% 1%
120 TSIPORUKHA Mia 29% 44% 22% 5% - - -
120 ZHAO Angela 58% 35% 7% 1% - - -
122 CHEN Jingyun 18% 39% 31% 10% 1% -
123 MIINEA Elena 17% 39% 31% 10% 2% - -
124 KUMAR Anusha 71% 25% 3% - - - -
125 LIN Ariel 42% 42% 14% 2% - - -
126 MACEY Hadley 72% 25% 3% - - -
127 GUO Amanda 17% 37% 31% 13% 3% - -
128 LIANG Yuanfeng 31% 42% 22% 5% 1% - -
129 DONDISCH Andrea 58% 35% 7% - - - -
130 XIE Fiona 17% 42% 32% 9% 1% - -
131 TANG Ellen 63% 31% 6% - - - -
132 LIU Simiao 13% 36% 35% 14% 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.