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.

November NAC

Junior Women's Foil

Sunday, November 12, 2023 at 8:00 AM

Fort Worth Convention Center - Fort Worth, TX, USA

Probability density of pool victories

Reset

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 CONWAY Josephina (JoJo) J. 100% 100% 100% 100% 100% 95% 65%
2 GEBALA Gabrielle Grace A. 100% 100% 100% 100% 99% 89% 48%
3 LESLIE Ryanne T. 100% 100% 100% 100% 100% 99% 81%
3 LIU Jaelyn A. 100% 100% 100% 100% 100% 96% 70%
5 JING Emily 100% 100% 100% 100% 100% 100% 92%
6 SHEN Lydia 100% 100% 100% 100% 99% 92% 56%
7 LUO Ziyue 100% 100% 100% 96% 71% 21%
8 LEE Lavender 100% 100% 100% 96% 79% 37%
9 JANG Kimberley 100% 100% 100% 100% 98% 87% 48%
10 GRIFFIN Emma G. 100% 100% 100% 100% 100% 97% 71%
11 CALISE Ella 100% 100% 100% 99% 90% 56% 11%
12 CHEN Jia P. 100% 100% 100% 100% 100% 94% 59%
12 KIM Katherine 100% 100% 100% 100% 99% 89% 48%
14 CHO Rebecca H. 100% 100% 100% 100% 96% 74% 20%
15 HUNG Juliana K. 100% 100% 100% 99% 87% 47%
16 KLINE Melissa C. 100% 100% 100% 99% 93% 61%
17 LOCKE Savannah 100% 100% 100% 100% 98% 85% 40%
18 PEVZNER Victoria 100% 100% 100% 100% 100% 92% 53%
19 KONG Chin-Yi 100% 100% 100% 100% 100% 96% 69%
20 LUNG Katerina 100% 100% 100% 100% 100% 99% 89%
20 CHUSID Mikayla 100% 100% 100% 100% 100% 97% 72%
22 SEO IRENE Y. 100% 100% 99% 93% 67% 21%
23 SHENG Chuxi 100% 98% 85% 48% 12% 1%
24 HAYES Nadia 100% 100% 100% 100% 99% 90% 53%
25 LIU Joy Zhaoyi 100% 100% 100% 100% 99% 86% 39%
26 GOOR Viviene E. 100% 100% 100% 99% 93% 59% 12%
26 SENIC Adeline 100% 100% 100% 100% 100% 94% 61%
26 LEE Ji Ahn 100% 100% 100% 98% 82% 41% 5%
29 SHEN Emilia 100% 100% 100% 96% 76% 33% 2%
30 SEIGEL Norah 100% 100% 100% 96% 76% 33% 5%
31 SOOD Ishani S. 100% 100% 100% 97% 82% 38%
32 WANDJI Anais 100% 100% 97% 81% 45% 10%
33 EYER Hailey M. 100% 100% 100% 100% 96% 67%
35 CASTANEDA Erika L. 100% 100% 100% 100% 100% 94% 63%
36 LAI Sophia 100% 100% 100% 97% 78% 33% 5%
37 LIN Zhi Tong 100% 100% 100% 95% 73% 29% 2%
38 FEDELI Caterina S. 100% 100% 100% 100% 100% 94% 59%
39 YANG Iris 100% 100% 100% 100% 96% 68% 18%
40 WANG Jasmine 100% 100% 99% 93% 63% 21% 2%
41 SUN Ruoxi 100% 100% 100% 100% 97% 80% 33%
42 ZHANG Alina C. 100% 100% 100% 100% 100% 92% 55%
43 TALAVERA Daena 100% 100% 100% 100% 98% 83% 33%
44 ZHAO Sophie L. 100% 100% 100% 99% 91% 56% 11%
45 CHEN Allison V. 100% 100% 100% 96% 76% 29%
46 HO Brianna W. 100% 100% 100% 99% 87% 43%
46 GU Maggie Runlin 100% 99% 92% 67% 31% 6%
48 XUE Alanna L. 100% 100% 100% 96% 77% 35%
49 WANG YiXi 100% 100% 97% 83% 50% 14%
50 NISSINOFF Alexandra 100% 100% 97% 82% 48% 13%
51 LI Eleanor 100% 99% 88% 56% 19% 2%
52 MI Aileen 100% 100% 100% 95% 71% 26% 3%
53 LEUNG Mei Hang (Danise) 100% 100% 99% 92% 66% 27% 3%
54 MANIKTALA Prisha 100% 100% 99% 94% 69% 27% 3%
55 SAIFEE Lamya 100% 100% 98% 86% 53% 16% 1%
56 YURKOVA Mariia 100% 100% 99% 92% 61% 19% 2%
57 TAN Kaitlyn N. 100% 100% 100% 100% 100% 95% 58%
58 SONG Yuqiao Aprille 100% 100% 100% 99% 93% 67% 19%
59 CHANG Elizabeth 100% 100% 97% 79% 42% 9% 1%
60 CHEW Alexis T. 100% 100% 100% 97% 79% 39% 5%
61 OUYANG Bridgette Z. 100% 100% 100% 98% 81% 35%
62 DOROSHKEVICH Taisiia 100% 100% 98% 79% 33% 5%
63 LI Yuhe 100% 100% 96% 75% 36% 8% -
64 STRUGAR Steliana 100% 97% 75% 34% 6% -
65 RANDOLPH Piper 100% 100% 99% 86% 43%
66 CHEN Renee 100% 100% 100% 97% 79% 40% 7%
67 WANG CAROL 100% 98% 84% 48% 13% 1%
68 CHO Emily (Euran) 100% 100% 100% 97% 82% 42% 7%
69 DONG Angela 100% 97% 75% 33% 6% < 1% -
70 ZHANG Eunice 100% 100% 96% 79% 44% 13% 1%
71 ZHENG Julie 100% 98% 82% 47% 15% 2%
72 DAVIS Bonnie Z. 100% 100% 99% 86% 46% 7%
73 CASTANEDA Keira 100% 99% 88% 47% 9%
74 CHEN Chloe I. 100% 100% 100% 100% 96% 74% 27%
75 FENG Grace 100% 100% 100% 95% 75% 33% 5%
76 FETECAU Ilinca 100% 99% 90% 58% 21% 3% -
77 DAI Zizhuo (Zizi) 100% 100% 100% 95% 72% 29% 1%
78 FIELD Julianna 100% 99% 87% 53% 17% 2% -
79 FUNG Vera 100% 100% 100% 99% 90% 54% 11%
80 SUN Emily 100% 100% 99% 86% 51% 15% 1%
81 MU Allison 100% 100% 97% 80% 44% 11% -
82 LEVY Avery 100% 100% 93% 67% 28% 5% -
83 NIKOLIC Alexandra 100% 100% 99% 88% 56% 18% 2%
83 LUO Sandra J. 100% 100% 99% 90% 61% 22% 2%
85 ZHUANG Christina 100% 100% 99% 89% 56% 16% 2%
85 KIM Rachel 100% 100% 100% 98% 77% 29% 3%
87 YANG Audrey 100% 100% 99% 90% 60% 19% 1%
88 ZHOU Catherine 100% 100% 98% 84% 50% 15% 1%
89 LI Sophia M. 100% 100% 100% 96% 80% 44% 9%
89 PEVZNER Nicole 100% 99% 89% 58% 22% 4% -
91 PARK Leah 100% 99% 93% 66% 25% 4% -
92 FUNG Emma 100% 99% 91% 63% 25% 4%
93 MEI Sarah 100% 99% 89% 58% 22% 3%
94 NAMGALAURI Mariam 100% 100% 100% 100% 95% 69% 21%
95 HU Jenna 100% 100% 97% 76% 35% 7% -
96 YAO Ada 100% 100% 99% 94% 69% 26% 2%
97 DENG Melissa 100% 100% 91% 61% 21% 3% -
98 NEWHARD Zelia "Zizi" 100% 100% 100% 99% 90% 55% 13%
99 HAO Danica 100% 100% 97% 75% 26% 3% -
100 PENG Serena 100% 100% 99% 86% 46% 11% 1%
101 COOPER Piper W. 100% 100% 99% 91% 64% 25% 2%
102 HO Addison 100% 100% 98% 78% 39% 9% 1%
102 ZELDIN Nadia 100% 97% 72% 30% 6% - -
104 ORVANANOS Anice 100% 100% 100% 96% 75% 29% 3%
105 VO Bao-Vy 100% 99% 90% 61% 21% 2% -
106 DAVIES Ellie 100% 100% 97% 79% 41% 8% -
107 HAN Ashley 100% 97% 80% 41% 10% 1% -
108 KAPOOR Saanvi 100% 94% 64% 25% 5% - -
109 PALMER Meredith K. 100% 100% 98% 85% 48% 10%
110 MCSHERRY Ava 100% 98% 85% 51% 14% 1%
110 KO Claire 100% 92% 62% 23% 4% -
112 HAFEZ Tahiyah 100% 85% 46% 13% 1% -
113 PAULUS Sloane E. 100% 100% 98% 84% 48% 14% 1%
114 YU Jane 100% 99% 86% 47% 12% 1% -
115 DANIELYANTS Gabriela 100% 82% 39% 10% 1% - -
116 LEE Fiona E. 100% 100% 96% 77% 40% 9% -
117 MARISI Gianna 100% 98% 82% 46% 14% 2% -
118 DRAGNE Alexis D. 100% 100% 99% 89% 59% 19% 1%
119 MARKOVSKY Nina 100% 100% 95% 71% 33% 7% -
119 VIANNA Gabriella 100% 100% 100% 95% 75% 34% 4%
121 PAULUS Isabella 100% 97% 71% 29% 5% - -
122 HAYES Alyssa R. 100% 99% 91% 65% 29% 7% -
123 WANG Yudi 100% 89% 53% 16% 2% - -
124 BOLES Amanda X. 100% 94% 64% 25% 5% - -
125 XIE Su 100% 82% 39% 8% 1% - -
126 JOHNSON Shelby 100% 99% 89% 54% 15% 2% -
127 ZHANG Selena 100% 85% 49% 16% 3% -
128 DO Leila 100% 95% 73% 36% 10% 1%
129 HAN Crystal 100% 100% 97% 80% 44% 12% 1%
130 ZHANG Soleil C. 100% 100% 83% 37% 7% -
131 SHIM Grace J. 100% 99% 92% 64% 24% 3%
132 YANG Emma 100% 100% 95% 74% 34% 5%
133 BIODROWICZ Julia 100% 100% 99% 94% 68% 27% 3%
134 POEI Lauren 100% 84% 37% 8% 1% - -
135 SHA Yi Ling 100% 100% 95% 74% 30% 5% -
136 LAO Sophia 100% 99% 87% 47% 12% 1% -
137 GUAN Adeline 100% 96% 71% 31% 7% 1% -
138 CHOI Kailyn 100% 100% 89% 53% 17% 2% -
139 HSU Kaylin 100% 100% 98% 84% 47% 10% 1%
140 XIE Lillian 100% 99% 92% 64% 24% 4% -
141 BEAVER Ava 100% 97% 78% 42% 13% 2% -
142 SHMUKLER Maria 100% 98% 77% 36% 8% 1% -
143 CHERNYKH Elina 100% 96% 64% 20% 3% - -
144 FENG Audrey 100% 87% 47% 13% 2% - -
145 RICHARD Dominique 100% 97% 78% 39% 10% 1% -
146 WANG SIQI 100% 96% 71% 30% 6% -
147 REN Kayley 100% 91% 56% 18% 3% -
147 ZHANG Ivy 100% 94% 45% 8% 1% -
149 BASSIK Eva 100% 98% 54% 13% 1% -
150 HOBSON Ava 100% 88% 49% 13% 1% -
151 SWANSON Alexa 100% 99% 88% 56% 18% 2%
151 RICHARD Clara 100% 97% 79% 39% 10% 1% -
153 LI Han (Helina) 100% 96% 66% 24% 3% - -
154 RAO Sonia D. 100% 99% 91% 60% 20% 3% -
154 YUEN Elsie 100% 99% 62% 20% 3% - -
156 CAMPBELL June 100% 96% 33% 5% - - -
157 KETTELLE Molly 100% 100% 98% 76% 36% 8% -
158 MIRZA Sophia 100% 57% 15% 2% - - -
159 DONG Emily 100% 93% 59% 16% 2% - -
159 CAO Kayla 100% 83% 36% 5% - - -
161 LEE Allison 100% 99% 88% 55% 19% 3% -
162 OLSHANSKY Eliora S. 100% 98% 83% 46% 13% 2% -
163 DAVIS Logan 100% 100% 98% 80% 38% 8% -
164 LI Xiang (Shining) 100% 54% 13% 1% - - -
165 LI Katerina 100% 38% 5% - -
166 CHOW Annabelle 100% 100% 92% 58% 14%
167 SULTER Aurelie 100% 84% 32% 5% -
168 OH Ceana 100% 96% 68% 29% 6% -
169 YAN Noelle 100% 98% 74% 24% 3% -
170 WANG Sophia 100% 47% 11% 1% - -
171 MATOS Lívia 100% 97% 79% 42% 12% 1%
172 ALKADI Mai 100% 36% 6% - - -
173 ROY Layla 100% 99% 86% 51% 16% 2%
174 KOSTELNY Alexis 100% 100% 96% 72% 27% 2%
175 QUINN Anna 100% 57% 16% 2% - -
176 ZULUETA Catherine 100% 85% 49% 16% 3% -
177 LIU Jingyi (Eva) 100% 95% 61% 18% 2% - -
178 TAYLOR Gabby 100% 68% 21% 3% - - -
179 LIN Victoria T. 100% 94% 61% 20% 3% - -
180 LENK Sophie 100% 99% 87% 54% 17% 2% -
180 CHUN Adelle Ha-Eune 100% 98% 79% 42% 12% 1% -
182 WANG Celine S. 100% 96% 73% 31% 6% - -
182 BERGEL Daphne 100% 73% 29% 5% - - -
184 NIRGUDE Siddhi 100% 94% 61% 16% 1% - -
185 TIKHONOVA Sofia 100% 73% 29% 6% - - -
186 CHOI Sophie 100% 69% 21% 3% - - -
187 PENG Charlotte 100% 84% 44% 12% 1% -
188 YONG Rosalind 100% 89% 53% 14% 2% - -
189 LUH Mia P. 100% 99% 82% 43% 10% 1% -
190 WANG Melissa 100% 88% 54% 20% 4% - -
191 CHENG Isa 100% 79% 35% 8% 1% - -
192 GREEN Marisa 100% 98% 83% 44% 12% 1% -
193 FAN Lydia 100% 81% 37% 9% 1% - -
193 MAHABALESHWARKAR Aanika 100% 84% 38% 6% - - -
195 WISEMAN Margaret (Daisy) 100% 81% 34% 7% 1% - -
196 GUO Audrey 100% 47% 10% 1% - - -
197 VANMOORSEL Faye 100% 92% 43% 9% 1% - -
198 LAWRENCE Nia 100% 57% 16% 2% - - -
199 WAN Celine 100% 23% 2% - - - -
200 CHAKRAPANI Ila 100% 57% 14% 1% - - -
201 HOVAGHIMIAN Fira 100% 75% 33% 8% 1% - -
202 PHILLIPS Hattie 100% 65% 21% 3% - - -
203 CUI alivia 100% 59% 17% 2% - -
204 BABIAC Julia 100% 79% 37% 9% 1% -
205 ZHENG Zoe 100% 85% 45% 11% 1% - -
206 NIRGUDE Esha 100% 40% 7% 1% - - -
206 TIKHONOVA Vasilisa 100% 44% 9% 1% - - -
208 ORBE-AUSTIN Nia 100% 7% - - - -
209 DESAI Esha 100% 73% 28% 4% - - -
210 IQBAL Mariam 100% 68% 24% 4% - - -
210 CHANG Janelle 100% 29% 3% - - - -
212 SEN Arjen 100% 21% 1% - - -
213 WU Chingfei Amber 100% 87% 48% 13% 2% - -
214 LIU Emily 100% 36% 5% - - - -
215 KATS Ekaterina 100% 55% 13% 1% - - -
215 TORII-KARCH Erika 100% 38% 6% - - - -
217 MASON-DARNELL Zoe 100% 59% 16% 2% - - -
217 SHIN Jaelynn 100% 34% 5% - - - -
217 LIU Long 100% 65% 22% 3% - -
220 ROUSH Rowynn 100% 6% - - - - -
221 MITCHELL Macy 100% 4% - - - - -

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.