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November NAC

Y-14 Women's Épée

Friday, November 10, 2023 at 12:00 PM

Fort Worth Convention Center - Fort Worth, TX, 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 PROFIS Liora - - 1% 6% 24% 43% 27%
2 RICHARDSON Meredith 1% 7% 27% 39% 21% 4%
3 SHIV Avni - - - 3% 16% 41% 39%
3 SOBUS Yanka - - 2% 12% 31% 38% 18%
5 GUO Luxi - - - 4% 21% 43% 31%
6 FERREIRA DE MELO Adriana - - 2% 10% 30% 41% 17%
7 WALLER DEL VALLE Alanis - 4% 19% 37% 31% 9%
8 CAMPBELL Eva - 4% 22% 40% 28% 6%
9 WATTANAKIT Anda - - - 1% 11% 40% 47%
10 BALAKRISHNAN Trisha - - 2% 13% 34% 39% 11%
11 WANG Ziqi (yoyo) - - - 1% 11% 39% 48%
12 LEE Claire - 1% 6% 24% 42% 28%
13 PRESMAN Aerin - 2% 13% 34% 37% 14%
14 WANG Zoe - 1% 9% 30% 42% 18%
15 DEPOMMIER Isabelle - 1% 9% 29% 40% 20%
16 SU Evelyn - - 1% 9% 27% 40% 22%
17 TOLSMA Chloe (CJ) - - - - 6% 32% 62%
18 LEE Scarlett - - - 2% 13% 46% 39%
19 WANG Jessie - - 5% 29% 49% 16%
20 NIX Reagan - - 3% 13% 32% 36% 15%
21 MARTINEZ Christina - 1% 12% 32% 36% 16% 2%
22 SMUK Alexandra S. - - - 7% 38% 54%
23 AIRES Julia 1% 7% 25% 38% 24% 5%
24 CARRIER Meredith - - - 2% 12% 40% 46%
25 XIAO Nancy - - 2% 11% 32% 39% 17%
26 NEELAM Navya - 1% 8% 25% 36% 24% 6%
27 XU Serena - 1% 6% 23% 40% 27% 4%
28 NGUYEN Ella - 8% 29% 38% 20% 4% -
29 ILYAS Ayah 5% 23% 37% 26% 8% 1%
30 BEAVER Ava - - 3% 16% 41% 39%
31 LEE Gloria Y. 3% 18% 39% 30% 9% 1%
32 SEREGIN Katya - 4% 16% 32% 31% 14% 2%
33 PHUKAN Indra - - 1% 6% 25% 43% 26%
34 YILMAZ Pinar - - 4% 17% 34% 32% 11%
35 QI Julieanne - 1% 10% 29% 36% 20% 4%
36 GANSER Nicole - 4% 18% 36% 30% 11% 1%
37 NOVOJILOV Anastasia - - 3% 17% 37% 32% 9%
38 WANG Ziqiao (Claire) - 6% 23% 37% 26% 7% -
39 KOZLOWSKI Maya M. - - 3% 17% 43% 37%
40 JIANG Kehui 1% 12% 33% 35% 16% 2%
41 HALE Avery 4% 20% 36% 29% 10% 1%
42 BOROTKO Katerina 3% 16% 34% 32% 13% 2%
43 YOUNG VIVIAN - 1% 6% 24% 44% 26%
44 STERR Isabella M. - - 3% 15% 36% 37% 10%
45 JIANG Serena - - 4% 17% 37% 33% 9%
46 KROPP Anne - 6% 26% 39% 23% 6% -
47 JIN Zhengtian - - 3% 14% 33% 36% 14%
48 LI Alice 6% 30% 39% 21% 5% -
49 SCHMITT Harper 1% 6% 23% 38% 27% 6%
50 LEE Camilla - 4% 21% 40% 29% 6%
51 WANG Sophie Y. 2% 15% 35% 33% 13% 2% -
51 KUMAR Eva - - 2% 11% 31% 38% 17%
53 WANG Victoria - - 4% 19% 38% 30% 8%
54 LISCUM Vivian - 1% 6% 22% 37% 28% 7%
55 SUN Hanya - - 3% 16% 37% 35% 9%
55 MCQUEEN Morgan 1% 10% 30% 36% 19% 4% -
57 MONOVA Lilyana - 2% 14% 33% 34% 15% 2%
58 CAMAMA Tessa - 1% 9% 26% 37% 22% 4%
59 LI Azalea - 2% 12% 30% 34% 18% 3%
60 ZHU Riley 4% 36% 40% 17% 3% -
61 FLITMAN Gabrielle 4% 20% 36% 28% 10% 2% -
62 WU Jessica 1% 9% 27% 35% 22% 6% 1%
63 HOLDEN Helena 18% 38% 31% 11% 2% -
64 BI Michelle 4% 20% 35% 29% 11% 2% -
65 KAUR Manroop 1% 9% 27% 35% 21% 6% 1%
66 WU Michelle - 5% 23% 37% 26% 9% 1%
67 SHEFFIELD Skye 1% 6% 20% 35% 28% 10% 1%
68 CHEN Stephanie - 2% 14% 33% 34% 15% 2%
69 SUICO Kyubi Emmanuelle - 3% 18% 35% 30% 12% 2%
70 GUAN Isabella - 1% 7% 23% 37% 26% 6%
71 HAUSHEER Kuncen 1% 12% 30% 34% 18% 5% -
72 MYRAH Vivienne - 3% 17% 37% 33% 11%
73 LI Olivia - 4% 20% 38% 30% 8%
74 WONG Caitlin - 6% 26% 39% 24% 5%
75 MISHIMA Audrey - 5% 24% 46% 23% 3%
76 ELTERMAN Kate 13% 40% 33% 11% 2% -
77 CHERNIS Liah 9% 31% 36% 19% 4% -
78 LIN Ariel - 1% 9% 29% 41% 20%
79 FRANGER Macy - 2% 11% 31% 37% 17% 2%
80 KALGAONKAR Arohi 1% 10% 30% 37% 19% 4% -
81 ABUELFUTUH Sama - - 3% 15% 36% 35% 11%
82 HABEK Sophia - 1% 6% 20% 35% 29% 9%
83 KANASKAR Ila 1% 8% 26% 36% 22% 6% 1%
84 XU Jessica 3% 16% 33% 32% 14% 2% -
85 BEATIE Isabella M. - 6% 26% 38% 23% 6% -
86 STERN Savannah 3% 18% 35% 29% 12% 2% -
87 KANE Chloe 1% 10% 30% 35% 19% 5% -
88 MCCREIGHT Elena 11% 34% 34% 16% 4% - -
89 DESANTIS-IBANEZ Elena 1% 10% 28% 36% 20% 5% -
90 SHIBLEY Micaela 13% 37% 34% 14% 3% - -
91 XU Chenyu 8% 28% 37% 21% 6% 1%
92 MCCLURE Samar - 6% 24% 38% 26% 6% -
93 WEI Sherry - 4% 17% 35% 32% 11% 1%
94 GAN Shelby 22% 44% 27% 7% 1% - -
95 WU Madisen 19% 39% 29% 11% 2% - -
96 SCHOR Elisabeth 1% 11% 32% 36% 17% 3% -
97 FISCHBEIN Quinley 2% 17% 36% 31% 12% 2% -
98 JEYOON Lauren 6% 25% 37% 24% 7% 1% -
99 WANG Emma 6% 25% 37% 24% 7% 1% -
100 MEYER Rebecca 3% 17% 36% 31% 11% 2% -
101 DESAI Ela 11% 37% 36% 14% 2% - -
102 WANG Chloe 40% 42% 16% 3% - - -
103 KELLEY Elise 9% 41% 35% 12% 2% - -
104 RADOV Una 15% 39% 33% 12% 2% - -
105 ZHANG Helen 10% 31% 36% 19% 4% - -
106 OLSON Olivia 25% 47% 23% 5% - - -
106 PETROFF Eva 6% 27% 37% 22% 6% 1% -
108 HE Anna 9% 39% 37% 13% 2% -
109 MOLLINIER Angel 2% 16% 36% 32% 12% 2%
110 ZHAO Yanning 21% 44% 29% 6% - -
111 PARK elli 20% 39% 29% 10% 2% -
112 BLANCO Ariia 4% 19% 36% 29% 10% 1%
113 YAO Chloe 26% 45% 24% 4% - -
114 PEI Claire 10% 37% 39% 12% 1% -
115 AWALEGAONKAR Saina 4% 26% 39% 24% 7% 1% -
116 LIN Isabel 1% 10% 31% 36% 18% 4% -
117 SHELTON Mya 60% 33% 7% 1% - - -
118 WANG Cecilia 7% 31% 38% 19% 4% - -
119 MADANNAVAR Trisha 20% 40% 29% 10% 1% - -
120 TISHKOVA-ROBERTS Daria 31% 43% 21% 4% - - -
121 WANG Selina 4% 24% 39% 25% 7% 1% -
122 YOUSSEF Caroline 39% 43% 16% 2% - -
123 DENEALE Lucia 29% 44% 21% 5% - - -
124 STOY Sophia 26% 41% 25% 7% 1% - -
125 HUANG Selina 52% 37% 10% 1% - -
126 LEE Adelynn 25% 41% 26% 7% 1% - -
127 VIOLETTE Lih-Ann 43% 41% 13% 2% - - -
128 LI Jasmine 81% 17% 1% - - -
129 DESAI Eesha 40% 41% 16% 3% - - -
130 REED Katya 38% 45% 15% 2% - - -
131 UEMURA Lyllia 65% 30% 4% - - - -
132 HALE Reagan 59% 34% 6% - - -
133 RAPTIS Layla 73% 24% 3% - - - -

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.