National Championships and July Challenge (Summer Nationals)

Cadet Women's Saber

Tuesday, July 2, 2024 at 12:00 PM

Greater Columbus Convention Center - Columbus, OH, 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 XIAO julie - - - 1% 7% 34% 58%
2 TSUI Natalie - - - 2% 14% 41% 43%
3 FERNANDEZ Martina - - 2% 9% 27% 40% 22%
3 ZHANG XUANYI - - - 4% 17% 42% 37%
5 WEI JoyAnn - 1% 6% 24% 44% 25%
6 WANG Gloria Ruoyan - 1% 5% 19% 36% 30% 9%
7 ZENG Sarah - - 3% 15% 34% 34% 13%
8 LAURI Keira - - 1% 7% 23% 40% 28%
9 MAKLIN Sofia - - - 4% 18% 42% 36%
10 HUANG Rachael - 2% 11% 31% 40% 17%
11 LEOU Korina 1% 7% 23% 36% 26% 7%
12 DIECK Miranda P. 1% 7% 23% 34% 25% 9% 1%
12 LEI Zitong (Meya) - 1% 8% 26% 38% 23% 5%
14 CHIARELLI Valentina - - - 2% 11% 38% 49%
15 HALPERIN Elizabeth H. - 4% 15% 30% 33% 16% 2%
16 DHAR Layla - 3% 14% 33% 36% 13%
17 YOUNG Charlotte G. - - 3% 13% 31% 37% 16%
18 SO Catelyn - - 1% 8% 34% 57%
19 DONG Angel - 3% 14% 32% 33% 16% 3%
20 HSU Leah - - 3% 15% 37% 37% 9%
21 SHI Julia - - 1% 7% 25% 41% 25%
22 LIU Yifei - - 1% 8% 25% 40% 25%
23 LIM Jaslene - - 1% 5% 20% 41% 33%
24 TABANGAY Heartlyn - - - 3% 17% 42% 37%
25 VINOGOROVA Sofiia - - 4% 16% 35% 34% 10%
26 FAVO Isabella - - 1% 7% 25% 42% 25%
27 HUGHES-WILLIAMS Adelayde 1% 5% 19% 34% 29% 11% 2%
28 PABIAN Emilia - 1% 6% 24% 42% 27%
29 TA-ZHOU Emma - 5% 19% 34% 29% 11% 2%
30 KWON Ava 2% 11% 27% 34% 20% 6% 1%
31 SUVOROVA Anna 8% 30% 38% 19% 4% -
32 SENOGLU Irmak - - 5% 24% 43% 27%
33 TSE Angelina - - - 1% 8% 37% 54%
34 MCKEE Brynnley - - - - 4% 28% 67%
35 MANN Sophia J. - - 1% 8% 26% 41% 25%
36 MALEK Zolie - - 2% 10% 29% 39% 20%
37 JEONG Katie - - - 2% 15% 41% 41%
38 SHMULER Fiona 3% 17% 32% 30% 14% 3% < 1%
39 ARNOLD Hali - - 2% 10% 29% 39% 20%
39 CHAVAN Arya - - 1% 8% 28% 43% 20%
41 GAUTAM Sahana - - 1% 8% 27% 42% 22%
42 LIN Elaine - 1% 5% 19% 36% 31% 8%
43 HU Anna - - 4% 18% 37% 32% 8%
44 WU Yuwei - 1% 10% 29% 37% 19% 3%
45 GUGALA Hanna - 3% 16% 37% 34% 10%
46 KONDEV Elizabeth - 1% 7% 25% 42% 25%
47 ATTIA Jasmine - 1% 6% 24% 44% 25%
48 AWAD Royce 3% 16% 33% 31% 14% 2%
49 PANTALEON-MAZOLA Amari - - 4% 18% 38% 33% 7%
49 LIU Hannah - 1% 6% 25% 39% 25% 5%
51 FOSS Persephone 3% 17% 33% 30% 14% 3% -
51 GAY Sasha - 5% 18% 33% 30% 12% 2%
51 ZHAN Sophie - 1% 9% 27% 38% 22% 3%
54 LIU Sydney - - 1% 9% 26% 40% 23%
55 PADANILAM Lily - 1% 9% 27% 37% 22% 4%
56 ZHANG Chenfei - - 1% 9% 29% 41% 20%
57 BERMAN greta - - 3% 15% 36% 36% 11%
58 STONE Coral - 4% 15% 30% 32% 16% 3%
59 FAN Alexandria 3% 18% 36% 31% 11% 1%
60 MOON Claire 1% 10% 32% 36% 18% 4% -
61 KRIVOSHEEV Alexandra - 4% 16% 32% 31% 14% 2%
62 CHIANG Melissa - 1% 5% 19% 34% 31% 10%
63 BORDAS HILL Georgiana - 3% 17% 35% 31% 12% 1%
64 LI Sonia 2% 12% 29% 33% 18% 5% -
65 YUEN Nicole 2% 12% 28% 33% 20% 6% 1%
66 HUAI Delilah - - - 3% 17% 42% 38%
67 YU Holly - - 2% 9% 28% 40% 22%
68 SPEARS Mya B - 3% 15% 37% 34% 10%
69 HUANG Doris - 1% 7% 25% 39% 24% 4%
70 NING Lynn 3% 17% 35% 31% 12% 2% -
71 YAM Danika - 1% 5% 20% 35% 30% 9%
72 CHEN Kevy - 3% 15% 32% 33% 14% 2%
72 BAIK Sarah 3% 17% 35% 30% 12% 2% -
74 JIANG Evelyn - 1% 7% 25% 39% 23% 4%
75 GENTILE Vittoria - 4% 20% 36% 29% 10% 1%
76 KHOST Maeve 6% 22% 34% 26% 10% 2% -
77 DAMBAL Sasha - 1% 10% 34% 41% 13%
78 MUND Ruth - - 2% 14% 42% 43%
79 RANDALL-COLLINS Shea M. 12% 34% 34% 16% 3% -
80 KANG Ellie - - 2% 14% 34% 37% 13%
81 MEDVINSKY Alexandra - 1% 5% 19% 35% 30% 9%
82 SHEARER Alena 1% 9% 25% 34% 23% 7% 1%
83 BORGUETA Madison 1% 12% 32% 35% 17% 3% -
84 WUNNAVA Ellora 5% 21% 34% 27% 11% 2% -
85 BUSH Bethany 1% 8% 24% 35% 25% 7% 1%
86 HAMMERSTROM Aria - 1% 7% 23% 36% 26% 7%
87 WANG Jiayi - 5% 21% 37% 27% 9% 1%
88 TANG Zhifei - 1% 6% 21% 36% 29% 8%
89 DUDNICK Morgan - 2% 10% 26% 35% 22% 5%
89 QIU Katherine - 4% 15% 31% 32% 16% 3%
91 TEYSSIER Katherine - 5% 19% 33% 29% 12% 2%
92 WANG Callie - - 1% 6% 25% 44% 25%
93 TAN Adelyn - 1% 4% 17% 34% 33% 11%
94 ZOLLER Noelle - 1% 5% 19% 35% 30% 10%
95 MEYERSON Michelle 2% 13% 31% 32% 17% 4% -
96 DEHON Inès 4% 20% 36% 29% 10% 1%
97 HAN Emma 1% 11% 34% 38% 15% 2%
98 LOURENCO Alexandra 1% 12% 36% 36% 13% 1%
99 LATYSHAVA Stephanie 6% 24% 37% 25% 7% 1%
100 WANG JiaQi 5% 23% 38% 27% 8% 1%
101 KURAEVA Vasilisa - - 4% 16% 34% 34% 12%
102 LIN Nicole - - - 3% 14% 39% 44%
103 NAVARRO LARIOS KATE 2% 12% 30% 34% 18% 4% -
104 CROOKS Riley 1% 8% 23% 33% 25% 9% 1%
105 KINKADE Ellie - - 5% 21% 37% 29% 7%
106 SEAL Cameron I. - 3% 17% 34% 32% 12% 1%
107 FENG Alicia G. - 4% 19% 36% 29% 10% 1%
107 IANNUZZI Lucy 4% 20% 35% 28% 11% 2% -
109 ZHAI AMY 1% 8% 26% 37% 23% 6% -
110 LOMOTAN Addison 1% 5% 20% 34% 28% 10% 1%
111 LIU Hannah 4% 20% 36% 28% 10% 2% -
111 GAIKWAD Ashmiee 1% 9% 28% 37% 20% 5% -
113 BERRIOS Catalina 11% 30% 34% 19% 5% 1% -
113 MACKAY Katherine 3% 14% 30% 31% 17% 5% -
115 KU Alathea-Joy - 2% 12% 32% 37% 15% 2%
116 SCHMIDT Isabel - - 3% 14% 34% 35% 13%
117 CHEN Victoria 9% 30% 37% 19% 4% -
118 PROBASCO Leila 3% 14% 30% 32% 17% 4% -
119 PARK Haylie 17% 37% 31% 12% 2% - -
120 POLSTON Ella 3% 17% 36% 31% 11% 2% -
121 CHEN Elaine 1% 8% 25% 36% 23% 7% 1%
122 LOO Kaitlyn - 2% 12% 30% 35% 17% 3%
123 KANG Soeun 34% 43% 19% 3% - - -
124 LIU kai yin aria 7% 26% 36% 23% 7% 1% -
125 SEBASTIAN Ava 5% 27% 41% 22% 5% 1% -
126 JOHNSON Aven 7% 31% 39% 19% 4% -
127 KAUL Tara 9% 31% 36% 19% 4% -
128 KIM Alexia 19% 45% 28% 7% 1% -
129 NADKARNI Marisa - 3% 15% 33% 33% 13% 1%
130 BARNES Sarah 29% 45% 21% 4% < 1% - -
131 BROWN Aria 1% 11% 29% 34% 19% 5% -
132 SHEN Emily 1% 11% 31% 36% 17% 3% -
133 DANTULURI Shalini - 2% 12% 31% 37% 17%
134 CHI Claire - 4% 16% 31% 31% 15% 3%
135 PRESANTH Nandana 2% 14% 31% 32% 16% 4% -
136 CHOI Charlotte - 5% 22% 37% 27% 8% 1%
136 RANJAN Diya 5% 19% 33% 28% 12% 3% -
138 TENG EMMA - 3% 14% 31% 33% 16% 3%
139 GUVEN Coco - 4% 17% 31% 30% 14% 3%
139 UEMOTO Lynn 2% 11% 29% 34% 19% 5% -
141 ZHANG Ashley 9% 29% 35% 20% 6% 1% -
142 MAK Kaitlin 3% 16% 32% 31% 15% 3% -
143 KNOBEL Sophia 1% 7% 23% 35% 25% 8% 1%
143 DHAR Rana 1% 14% 35% 33% 14% 3% -
145 TONG Laurie 6% 22% 34% 26% 10% 2% -
146 MYAT Chloe 2% 14% 31% 33% 16% 4% -
147 YOUNG Audrey - 2% 12% 31% 35% 17% 3%
148 VISWANATHAN Nishka 5% 24% 37% 26% 8% 1% -
149 OCA Merci 1% 12% 33% 36% 16% 3% -
150 SUNG Olivia 6% 26% 38% 24% 6% -
151 KIM Audrey 7% 26% 37% 23% 6% -
152 NAIR Supriya 6% 23% 36% 26% 9% 1%
152 ZHU Avril 8% 28% 37% 21% 5% -
154 BERNARD Kathryn 1% 7% 25% 39% 25% 4%
155 MERMEGAS Olivia 9% 29% 36% 20% 5% -
156 KALINICHENKO Yekaterina 17% 40% 31% 10% 2% - -
157 VINOKUR Anita - 3% 16% 32% 32% 14% 2%
158 YANNOPOULOS Pompie - 1% 10% 31% 37% 18% 3%
159 SENGUPTA Jia 3% 16% 31% 30% 15% 4% -
159 LONG Jessie 7% 26% 35% 23% 7% 1% -
159 XU Elaine 5% 30% 39% 21% 5% - -
162 LUKER Hannah 1% 10% 27% 34% 21% 6% 1%
163 ZAWADA Milena 8% 29% 35% 21% 6% 1% -
164 CAO arissa 11% 38% 36% 13% 2% - -
165 MERCHANT Aishwarya - 1% 6% 21% 35% 28% 8%
166 LEE Kaitlin 26% 43% 24% 6% 1% - -
167 WONG Natalie 3% 16% 33% 31% 14% 3% -
168 JACHYMIAK Emilia 22% 39% 27% 9% 2% - -
169 LO Chloe 1% 7% 21% 33% 27% 10% 2%
170 WONG Cerise 14% 37% 34% 13% 2% - -
170 DOLEV Rony 9% 30% 36% 20% 5% 1% -
172 CONG Anne 1% 8% 24% 35% 24% 7% 1%
173 WONG Charlene 19% 39% 30% 10% 2% - -
174 HUANG Neila 7% 27% 36% 22% 7% 1% -
175 GUHA Surabhi 5% 24% 38% 25% 7% 1% -
176 ILAGAN Ava 1% 11% 33% 36% 16% 3% -
177 NGUYEN Madeleine 18% 37% 31% 12% 2% -
178 LIM Alexa J. 21% 40% 29% 9% 1% -
179 FLEEGER Sophia 40% 43% 15% 2% - -
180 MUNGUIA Mila 4% 20% 37% 29% 9% 1%
181 HWANG Charlotte 3% 29% 40% 22% 5% 1% -
182 LIANG Claire 19% 38% 29% 11% 2% - -
182 DESAUTELS Alexandra 28% 41% 24% 7% 1% - -
184 KIM Karen 2% 15% 34% 32% 14% 2% -
185 BLAKE Anna 5% 21% 36% 27% 10% 2% -
186 VATS Ishita 17% 41% 31% 10% 1% - -
187 LI Miranda 3% 27% 40% 23% 6% 1% -
188 BUHAY Kirsten M. - 2% 10% 29% 37% 19% 3%
188 MALVESTUTO Prudence 68% 27% 4% - - - -
190 ZHANG JADY 15% 37% 32% 13% 3% - -
191 PASUPULETI Laya 21% 39% 28% 10% 2% - -
192 REN Katherine 4% 23% 38% 26% 8% 1% -
193 SINGER Ellery 11% 31% 34% 19% 5% 1% -
194 STADNIK Emilia 5% 21% 34% 27% 11% 2% -
194 RAGHURAMAN Anishka 3% 18% 34% 29% 13% 3% -
196 WANG Peijia 5% 22% 35% 26% 10% 2% -
197 YU Stella 10% 29% 34% 20% 6% 1% -
197 ALDORT Amanda 24% 41% 26% 8% 1% - -
199 LIN Annika 3% 16% 32% 30% 14% 3% -
199 ALAMI Amira 7% 28% 36% 21% 6% 1% -
201 TIAN Cynthia 11% 32% 34% 18% 4% - -
202 MISHEV Lila 7% 24% 34% 24% 9% 2% -
203 LEIGH Adalene 33% 41% 20% 5% 1% - -
204 PHAN Genevieve 22% 41% 27% 8% 1% - -
205 YU Skylar 20% 39% 29% 10% 2% - -
206 LU QIWEN 58% 34% 7% 1% - - -
207 ZHU Elaine 9% 28% 34% 21% 7% 1% -
208 ASPIRAS Avery 37% 44% 16% 2% - -
209 XU Kaylyn 4% 20% 37% 27% 10% 2% -
210 FUNG Iris 5% 22% 36% 27% 9% 1%
211 WALLER London 1% 10% 25% 33% 22% 7% 1%
212 CHAMI Lana 12% 34% 35% 15% 3% -
213 ROOPRAI Amarjot 25% 41% 26% 7% 1% -
214 KRASOWITZ Lucy 4% 18% 33% 29% 13% 3% -
214 TISSONE Veronica 34% 42% 19% 4% 1% - -
216 MCAFEE Jada 3% 16% 33% 31% 14% 2%
217 ROBBINS Adele 28% 43% 23% 5% - - -
218 WILLIAMSON Morgan 25% 44% 24% 6% 1% - -
218 KITSON Sasha 11% 35% 36% 16% 3% - -
220 WILFRET Katerina 45% 41% 12% 1% - - -
221 FORD-BURRIS Zooey 35% 42% 19% 4% - - -
221 ELIASIK Josephine 15% 37% 32% 13% 2% - -
223 WU Chloe 57% 34% 8% 1% - - -
223 EDELBROCK Kate 78% 20% 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.