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

November NAC

Cadet Women's Saber

Saturday, November 11, 2023 at 8:00 AM

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 ANDRES Charmaine G. - - - - 3% 24% 73%
2 NATH Trisha - - - - 5% 30% 64%
3 HUAI Delilah - - 1% 9% 28% 40% 22%
3 DAI Olivia - 3% 18% 40% 32% 8%
5 FESTA Carina - - - 3% 18% 44% 35%
6 BEVACQUA Aria F. - - - 1% 8% 36% 55%
7 JUNG Irene - - - 1% 6% 32% 61%
8 KER Grace - - - 1% 8% 35% 56%
9 MCKEE Brynnley - - - 2% 12% 39% 47%
10 LU Elaine - - - 3% 27% 70%
11 SCHIMINOVICH Sophia I. - - - 2% 12% 42% 44%
12 ANTHONY Alexia B. - - - 4% 19% 42% 35%
13 MUND Ruth - - - 5% 23% 44% 27%
14 JOHNSON Dagny L. - - - 2% 13% 42% 43%
15 YU Zhiang - - 2% 12% 31% 37% 17%
16 FERNANDEZ Martina - - 2% 10% 30% 42% 17%
17 LEE Hannah - - - - 4% 28% 68%
17 GHAYALOD reya - - - 1% 9% 35% 55%
17 ZHANG XUANYI - - - 3% 18% 44% 35%
20 SO Catelyn - - 1% 7% 28% 43% 22%
21 FAVO Isabella - - 2% 12% 33% 38% 15%
22 XIAO julie - - - 1% 8% 34% 57%
23 MALEK Zolie - 2% 10% 27% 35% 21% 5%
24 CHIARELLI Valentina - 1% 5% 22% 42% 31%
25 TSE Angelina - - - 2% 14% 41% 43%
26 GUGALA Hanna - 3% 14% 35% 34% 13% 1%
27 BOYNTON Ainsley - - 1% 10% 34% 40% 14%
28 SENOGLU Irmak - - 1% 6% 25% 44% 24%
29 GRULICH Rayaana - 4% 24% 41% 26% 5%
30 ZHANG Sophie - 1% 7% 24% 37% 25% 6%
31 NGUYEN Siena - - 1% 7% 27% 43% 22%
32 ZHAN Sophie - 3% 15% 33% 32% 14% 2%
33 TABANGAY Heartlyn - - 3% 18% 43% 36%
34 KIM Marley I. - - - 1% 10% 37% 52%
35 FEIG Sela - 1% 7% 24% 42% 27%
36 LIU Sydney - 1% 8% 27% 39% 22% 3%
36 HSU Leah - 4% 18% 37% 31% 9% 1%
38 CROOKS Riley - 4% 20% 37% 29% 9% 1%
39 YOUNG Charlotte G. - - 1% 6% 27% 45% 22%
39 LEOU Korina - 1% 10% 29% 38% 19% 3%
39 LEI Zitong (Meya) 1% 10% 30% 36% 19% 4% -
42 JEONG Katie - - 2% 11% 30% 39% 18%
43 MANN Sophia J. - 1% 6% 23% 38% 27% 5%
44 LIN Elaine 1% 9% 26% 35% 22% 7% 1%
45 SCHMIDT Isabel - 1% 7% 26% 41% 25%
46 CHIANG Melissa - 8% 28% 39% 21% 4%
47 GAUTAM Sahana - 1% 10% 33% 40% 16%
48 WANG yining - - 1% 9% 31% 43% 17%
49 TAN Adelyn - - 2% 14% 38% 36% 11%
49 GAY Sasha 2% 12% 30% 35% 18% 4% -
51 HU Michelle - 1% 7% 25% 41% 24% 2%
52 KHAN Alissa - - 3% 15% 38% 38% 7%
53 XIONG Haojiao - - 1% 5% 23% 45% 26%
54 LAURI Keira - - 4% 19% 38% 31% 7%
55 YAO Rainie - - 4% 19% 35% 31% 10%
56 RAMIREZ Mirka A. - 2% 10% 28% 37% 20% 3%
57 SHEARER Alena - 5% 25% 41% 24% 5% -
57 CHAVAN Arya - 2% 15% 33% 33% 15% 2%
59 LUKER Sophia - - 1% 8% 29% 44% 17%
60 KONDEV Elizabeth - - 2% 14% 36% 36% 12%
61 CHAN Jolene - 2% 12% 32% 35% 16% 2%
62 LI YING CHU 2% 12% 32% 35% 17% 3%
63 LIU Hannah 1% 6% 20% 34% 28% 10% 1%
64 MEDVINSKY Alexandra 1% 10% 29% 36% 20% 4%
65 PABIAN Emilia - 1% 6% 23% 41% 25% 5%
66 LIN Nicole - - 1% 10% 34% 42% 13%
67 CHUNG Hailey - - 2% 12% 34% 38% 14%
67 SAYSON Andrea - 1% 9% 27% 37% 22% 4%
69 LIM Jaslene - - - 2% 12% 40% 46%
70 LI Sonia 13% 34% 34% 16% 3% < 1% -
71 GOLDIN Nina - 2% 12% 29% 35% 19% 4%
72 MARYASH Samantha - - 1% 8% 26% 41% 24%
73 YANG Lea - 1% 11% 34% 39% 15%
74 BERMAN greta - 4% 16% 35% 34% 11%
75 LIU Yifei - 1% 6% 24% 42% 27%
75 ATTIA Jasmine 2% 13% 32% 34% 16% 3%
77 HUANG Rachael - 4% 18% 36% 32% 10%
78 HU Anna - 6% 32% 40% 19% 3%
79 WEI JoyAnn - - 4% 18% 37% 33% 8%
80 GUVEN Coco - 1% 6% 25% 41% 23% 4%
81 TSUI Natalie - - 1% 5% 23% 45% 26%
82 WANG Zidan - - 5% 23% 42% 25% 5%
83 KURAEVA Vasilisa - - 2% 15% 40% 37% 6%
84 WANG Callie - 4% 18% 35% 31% 11% 1%
85 LOO Kaitlyn - 1% 6% 26% 41% 24% 3%
86 KWON Ava - 7% 26% 38% 24% 5% -
87 DENG Brooke - - 2% 12% 31% 37% 16%
88 CHEN Kevy 1% 7% 24% 36% 25% 7% 1%
89 ZOLLER Noelle 1% 8% 25% 36% 23% 6% -
90 VINOGOROVA Sofiia - - 4% 18% 38% 32% 7%
91 FREEMAN Armine 2% 15% 34% 32% 14% 2% -
92 DUDNICK Morgan - 3% 17% 34% 31% 13% 2%
93 GOMERMAN Sophia - 1% 9% 26% 36% 22% 5%
93 GOLOVITSER Maya 1% 7% 24% 36% 25% 7% 1%
95 TA-ZHOU Emma 3% 18% 35% 30% 12% 2% -
96 ZENG Sarah - 3% 16% 36% 34% 11%
97 XU Emily T. 2% 14% 33% 34% 15% 2%
98 MERCHANT Aishwarya 3% 18% 36% 31% 12% 2%
99 PADANILAM Lily 2% 21% 41% 29% 7% -
100 PAUL Lila - - - < 1% 4% 29% 67%
101 MONTORIO Lily M. 1% 9% 29% 37% 20% 5% -
102 LIN Annika 1% 21% 39% 28% 9% 1% -
103 HAMBAZAZA Liisa - 1% 5% 20% 38% 31% 5%
104 DHAR Layla - 1% 9% 30% 41% 18% 2%
105 HALPERIN Elizabeth H. - 2% 12% 32% 36% 16% 2%
106 SADANI Jyotika 3% 22% 40% 27% 7% 1% -
107 WU Helen - - - 5% 23% 44% 28%
108 SHEN Emily 18% 40% 31% 10% 1% - -
108 HUGHES-WILLIAMS Adelayde - 1% 9% 29% 39% 19% 2%
108 WANG Gloria Ruoyan - 3% 16% 34% 32% 13% 2%
111 TENG EMMA - 2% 13% 31% 35% 16% 2%
112 STONE Coral - 3% 13% 30% 34% 17% 2%
113 BLAKE Anna 1% 6% 24% 38% 24% 6% 1%
114 MAKLIN Sofia - 1% 12% 35% 38% 14%
115 LO Chloe 3% 17% 35% 31% 12% 2%
115 HAMMERSTROM Aria 3% 17% 34% 31% 12% 2%
117 HUANG Doris 1% 16% 37% 33% 12% 2%
118 DONDERIS Katherine 2% 11% 30% 35% 18% 4% -
119 YUEN Nicole 6% 27% 39% 22% 6% 1% -
120 DONG Angel - 2% 10% 28% 36% 20% 4%
121 MARGULIAN Maria 2% 12% 30% 35% 18% 3% -
122 ZHANG Chenfei - - 3% 16% 37% 33% 10%
123 SHMULER Fiona 22% 41% 27% 8% 1% - -
124 HENRY Soraya S. - 1% 7% 23% 37% 26% 7%
125 LIU Kelly - 5% 22% 37% 27% 8% 1%
126 HUANG Neila 6% 23% 35% 26% 9% 1% -
127 BERRIOS Catalina 2% 21% 41% 29% 6% -
128 KU Alathea-Joy 24% 41% 26% 8% 1% -
129 LI Alexis 1% 8% 25% 35% 24% 7% 1%
130 AWAD Royce 1% 7% 27% 39% 21% 5% -
131 SCHAIBLE Sofia L. - 4% 19% 36% 30% 10% 1%
132 MEYERSON Michelle 5% 24% 39% 25% 7% 1% -
133 MAK Kaitlin 14% 38% 32% 13% 2% - -
134 WANG JiaQi - 11% 33% 36% 17% 3% -
135 LI Jiaying 1% 9% 26% 35% 22% 6% 1%
136 BUHAY Kirsten M. - 1% 12% 37% 42% 8%
137 PANTALEON-MAZOLA Amari - 7% 30% 40% 19% 3%
138 NADKARNI Marisa 3% 23% 41% 26% 6% -
139 CHRISTOTHOULOU Olympia C. - - 1% 8% 29% 42% 21%
140 UEMOTO Lynn 8% 28% 35% 21% 6% 1% -
141 LATYSHAVA Stephanie 1% 12% 33% 37% 15% 2% -
142 KINKADE Ellie - 2% 12% 33% 37% 15% 1%
143 BAINS Nandini 1% 12% 38% 35% 12% 2% -
143 BROWNER June - 5% 23% 40% 25% 6% -
143 SINGER Ellery 9% 33% 39% 16% 3% - -
146 ONG Lauren 1% 15% 45% 31% 8% 1% -
147 HORVITZ Jacqueline 3% 18% 38% 30% 10% 1% -
148 LEE Lauren - 3% 18% 35% 31% 11% 1%
149 PHAN Genevieve 26% 48% 22% 4% - - -
150 SEVASTOPULO Sahra 40% 42% 15% 2% - - -
151 CHAN Madeleine V. 14% 36% 33% 14% 3% - -
152 LEE Kaitlin 32% 44% 20% 4% - - -
153 CONG Anne 1% 19% 40% 30% 9% 1%
154 JEFFORDS Sophia 8% 28% 36% 22% 6% 1%
155 WILSON Eva - 2% 15% 33% 32% 14% 2%
156 REAVIS Isabel 12% 37% 36% 13% 2% - -
157 XA-CHIN Sara 2% 12% 31% 34% 18% 4% -
158 LEMUS-IAKOVIDOU ALEXANDRA - 1% 7% 25% 39% 24% 4%
158 GOSAVI Aabolee 8% 33% 37% 18% 4% - -
160 MYAT Chloe 1% 6% 21% 34% 28% 10% 1%
161 KIM Karen 27% 43% 24% 6% 1% - -
162 CHI Claire 1% 14% 36% 34% 13% 2% -
162 BAIREDDY Maya - 2% 19% 43% 28% 7% 1%
164 WANG Jiayi 3% 23% 39% 26% 8% 1% -
165 BUSH Bethany 1% 10% 28% 34% 21% 6% 1%
166 LEE Alyson 9% 30% 36% 20% 5% 1% -
167 MUNGUIA Mila 1% 11% 30% 35% 18% 4% -
168 CAI Veronica 3% 24% 40% 26% 7% 1% -
169 JUILLERAT Elina 31% 43% 21% 4% - - -
169 LIU Hannah 14% 34% 33% 15% 3% - -
171 TIAN Cynthia 11% 33% 35% 17% 4% - -
172 NGUYEN Madeleine 8% 35% 37% 16% 3% - -
172 YU Stella 28% 41% 23% 6% 1% - -
174 DIECK Miranda P. 1% 6% 23% 36% 26% 8% 1%
174 DEHON Inès 1% 7% 25% 36% 24% 7% 1%
174 ZHANG Ashley 15% 38% 32% 12% 2% - -
177 RANDALL-COLLINS Shea M. 3% 18% 37% 30% 10% 2% -
177 VATS Ishita 38% 43% 16% 3% - - -
179 CHOI Charlotte 12% 37% 35% 14% 2% - -
180 SYED Azra 40% 42% 16% 3% - - -
180 MACKAY Katherine 17% 38% 31% 12% 2% - -
182 DANTULURI Shivani 34% 43% 19% 4% - - -
183 CHEN Elaine 2% 17% 36% 31% 12% 2% -
183 LAGOON Miriam 3% 17% 34% 31% 13% 2% -
185 HO Sophia 11% 41% 36% 11% 1% - -
186 SMITH Sydney 85% 15% 1% - - -
187 STADNIK Emilia 6% 44% 37% 12% 2% -
187 TONG Laurie 18% 38% 31% 11% 2% -
189 VINOKUR Anita 5% 23% 37% 26% 8% 1%
190 NICHOLAS Eva 12% 34% 35% 16% 4% - -
191 FENG Alicia G. 2% 15% 33% 32% 15% 3% -
192 MERMEGAS Olivia 6% 26% 37% 23% 7% 1% -
193 CAO Sophie 1% 12% 34% 36% 15% 2% -
193 SUNG Isabella 16% 37% 32% 13% 3% - -
195 HUANGFU Xingyue 9% 29% 36% 21% 6% 1% -
196 LITTLE Avery - 2% 11% 30% 37% 18% 2%
197 GENTILE Vittoria 10% 33% 37% 16% 3% - -
198 NEUMAN Ella 1% 11% 31% 37% 17% 3% -
199 DAMBAL Sasha - 4% 18% 36% 31% 10% 1%
200 BORGUETA Madison 9% 33% 38% 17% 3% - -
201 ALAMI Amira 14% 39% 33% 12% 2% - -
202 ZHOU Ziling 12% 46% 32% 8% 1% - -
203 SEBASTIAN Ava 14% 41% 33% 11% 1% - -
204 KALINICHENKO Yekaterina 11% 35% 36% 15% 3% - -
204 ASPIRAS Avery 11% 53% 30% 5% - - -
206 HAN Emma 4% 23% 39% 26% 7% 1% -
206 BAIRD Kaleah 48% 38% 12% 2% - - -
208 KANG Ellie - 2% 12% 32% 37% 16% 1%
208 REN Katherine 30% 43% 22% 5% 1% - -
210 VELASCO Manuela Luis 43% 42% 14% 2% - - -
211 PALMIERI Giuliana M. 16% 39% 33% 11% 2% - -
211 LUKER Hannah 4% 19% 35% 30% 11% 2% -
213 BAERENWALD Welles 4% 20% 36% 28% 10% 1% -
214 KIM Audrey 5% 25% 41% 23% 5% - -
215 KIM Elyssa 17% 39% 31% 11% 2% - -
216 STAPLEY Claire 54% 37% 8% 1% - - -
217 SENTHIL Tejas 60% 33% 6% - - -
218 MOON Claire 43% 40% 14% 2% - -
219 NAYAK Esha < 1% 4% 18% 35% 30% 11% 1%
219 ZHAI AMY 3% 15% 33% 32% 14% 2% -
219 BROWN Aria 10% 34% 36% 16% 3% - -
222 LONG Jessie 3% 18% 39% 30% 9% 1% -
222 YE Madeleine 48% 38% 12% 2% - - -
224 NEWMARK Ellie 11% 37% 35% 14% 3% - -
225 LOMOTAN Addison 1% 13% 33% 34% 16% 3% -
225 TISSONE Veronica 14% 43% 33% 10% 1% - -
227 PASUPULETI Laya 33% 44% 20% 3% - - -
228 KHOST Maeve 7% 57% 30% 6% - -
228 AKULOVA Eva 79% 20% 2% - - -
230 SCHOEW Margot 9% 31% 36% 19% 4% -
230 KIM Alice 85% 14% 1% - - -
232 LEIGH Adalene 44% 40% 13% 2% - - -
232 JUNG Sienna 58% 34% 7% 1% - - -
232 GILLENTINE Madelyn 88% 12% 1% - - - -
235 CHERUKURI Tanvi 75% 24% 2% - - - -
235 YOO Audrey 68% 28% 4% - - - -
237 BANGALORE Shriya 38% 45% 15% 2% - - -
238 KIRBY Skye 60% 34% 6% - - - -

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.