National Championships and July Challenge (Summer Nationals)

Junior Women's Saber

Sunday, June 29, 2025 at 3:00 PM

Baird Center - Milwaukee, WI, 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 ZHANG XUANYI - - - 5% 23% 48% 23%
2 FERNANDEZ Martina - - 1% 8% 26% 41% 23%
3 NATH Trisha - - - - 4% 25% 71%
3 HUANG Doris - 6% 23% 37% 26% 8% 1%
5 TSUI Natalie - - - 2% 14% 41% 43%
5 LIU Sophie - - - 1% 8% 34% 58%
7 ANDRES Charmaine G. - - - 3% 24% 74%
8 FESTA Carina - - 1% 5% 19% 41% 35%
9 LENTINI Francesca Romana - - - 4% 19% 42% 34%
10 SPEARS Mya B - 1% 16% 39% 34% 10%
11 BOYNTON Ainsley - 1% 6% 23% 41% 29%
12 KIM Marley I. - - - 1% 11% 39% 48%
13 MCKEE Brynnley - - - 3% 20% 54% 23%
14 HAMMERSTROM Aria - 4% 17% 32% 30% 13% 2%
15 WANG Gloria Ruoyan - 2% 13% 32% 34% 16% 3%
16 MARYASH Samantha - - 3% 16% 37% 34% 10%
17 JUNG Irene - - 1% 9% 37% 53%
18 MANN Sophia J. - - 4% 20% 41% 30% 4%
18 GONG Joy - 4% 19% 37% 29% 9% 1%
20 JEON Yuju - - - 2% 15% 44% 38%
21 TABANGAY Heartlyn - - 1% 7% 24% 41% 27%
22 FREEDMAN Janna N. - - - - 2% 21% 76%
22 MIKA Veronica - - - 1% 12% 41% 45%
24 ONG Lauren 1% 7% 25% 37% 24% 6% -
25 DHAR Layla 1% 10% 29% 37% 19% 3%
26 LIM Jaslene - - 4% 19% 37% 31% 8%
27 ATTIA Jasmine - 1% 7% 22% 35% 27% 8%
28 PAUL Lila - - - 1% 10% 38% 52%
29 YUEN Nicole 1% 6% 20% 34% 28% 10% 1%
30 GAY Sasha - 3% 17% 34% 32% 12% 2%
31 LEE Hannah - - 1% 8% 35% 55%
32 KU Alathea-Joy 1% 9% 27% 36% 21% 5% -
33 JOHNSON Dagny L. - - - 3% 17% 42% 38%
34 SHI Cathleen - - - 3% 18% 43% 36%
35 LAURI Keira - - 1% 5% 21% 42% 32%
36 GOLDIN Nina - - 4% 18% 37% 32% 8%
37 BEVACQUA Aria F. - - - 2% 13% 40% 44%
37 DANG Kelia - - 2% 11% 31% 39% 17%
39 SCHIMINOVICH Sophia I. - - - 1% 9% 38% 52%
40 HUAI Delilah - - - 4% 19% 42% 34%
41 WANG Callie - - 4% 16% 35% 36% 10%
41 WANG YIZHEN - 1% 5% 20% 36% 29% 9%
43 KNOBEL Sophia - 8% 28% 38% 21% 4%
44 CHEN Ashley - - - 1% 11% 39% 49%
45 TSE Angelina - 1% 5% 22% 40% 27% 5%
46 LIU Hannah - 3% 14% 30% 33% 17% 3%
47 JEONG Katie - - 3% 16% 36% 34% 11%
48 CHRISTOTHOULOU Olympia C. - - 2% 13% 35% 39% 11%
49 SO Catelyn - - - 2% 14% 41% 42%
50 FUNG Iris - 7% 26% 38% 22% 5% -
51 BUSH Bethany - 3% 16% 33% 33% 14% 1%
52 JOHNSON Neema 2% 15% 34% 33% 13% 2%
53 YOUNG Charlotte G. - 1% 15% 38% 35% 11%
54 PANTALEON-MAZOLA Amari - 2% 12% 33% 38% 15%
55 NAYAK Esha 2% 12% 31% 34% 17% 4% -
56 YU Holly - - 3% 14% 33% 36% 14%
57 HILD Nisha - - - 1% 6% 30% 64%
58 LIN Elaine - 1% 10% 28% 36% 21% 4%
59 ANTHONY Alexia B. - - - 2% 13% 40% 44%
60 TEYSSIER Katherine 3% 17% 33% 30% 14% 3% -
61 FAVO Isabella - 1% 8% 24% 35% 25% 6%
62 KU Chloe 17% 38% 32% 12% 2% - -
63 CASTELO Soleil 3% 16% 31% 31% 15% 3% -
64 SUNG Olivia 2% 13% 31% 33% 17% 4% -
65 GRULICH Rayaana - 4% 20% 42% 27% 6% < 1%
65 KONDEV Elizabeth - 1% 5% 20% 37% 30% 7%
67 GHAYALOD reya - - - 2% 13% 40% 44%
67 KINKADE Ellie - 3% 15% 32% 33% 15% 3%
69 SHI Julia - - 2% 12% 31% 38% 17%
70 CHAN Jolene - - 3% 17% 37% 34% 8%
71 SENOGLU Irmak - - 3% 14% 33% 36% 14%
72 CHIARELLI Valentina - - 5% 21% 42% 32%
73 ZHAI AMY 4% 21% 38% 28% 8% 1%
74 CONG Anne 2% 13% 32% 35% 16% 2%
75 GONZALEZ Veronika 6% 25% 36% 25% 8% 1%
76 LIU Kelly 12% 38% 35% 13% 2% -
77 SCHMIDT Isabel - 1% 5% 22% 42% 30%
78 GUVEN Coco - 2% 13% 31% 34% 17% 3%
79 ZENG Sarah - 2% 10% 26% 36% 22% 4%
80 KWON Hannah 6% 24% 35% 24% 9% 1% -
81 TA-ZHOU Emma 2% 12% 31% 34% 17% 4% -
82 LIN Annika 8% 29% 36% 20% 5% 1% -
83 MUND Ruth - - 4% 18% 38% 32% 7%
83 HSU Leah - - 4% 16% 35% 35% 9%
85 JIANG Evelyn - 1% 6% 21% 36% 28% 7%
86 GAIKWAD Ashmiee - 3% 16% 34% 32% 14% 2%
87 CHANG Norah 9% 30% 35% 20% 5% 1% -
88 KANG Ellie - - 5% 20% 38% 30% 7%
88 XIONG Haojiao - - 4% 19% 38% 31% 8%
90 YU Skylar 6% 26% 37% 24% 7% 1% -
91 LUKER Sophia - - 5% 23% 42% 25% 4%
91 HSIEH Lucia 5% 32% 39% 19% 5% 1% -
93 ARNOLD Hali 1% 7% 22% 35% 26% 9% 1%
94 LEI Zitong (Meya) 2% 11% 28% 34% 20% 5% -
95 OCA Merci 1% 7% 22% 34% 27% 9% 1%
96 HU Michelle 1% 9% 26% 34% 22% 7% 1%
97 DAVIDOVA Kira - 3% 15% 31% 32% 16% 3%
98 YANG Lea - 2% 11% 27% 35% 21% 4%
98 FAN Alexandria - 2% 13% 32% 35% 15% 2%
100 NGUYEN Siena - 1% 8% 28% 41% 22%
101 CROOKS Riley 3% 17% 34% 31% 13% 2%
102 LO Chloe 2% 14% 34% 35% 14% 1%
103 LIU Sydney - 1% 10% 32% 40% 17%
104 LI Jiayi - - - 1% 10% 38% 51%
105 PRESANTH Nandana 5% 20% 34% 28% 11% 2% -
106 SHEARER Natalie E. - - 1% 5% 20% 42% 34%
107 CHEN Elaine 1% 7% 24% 35% 25% 7% 1%
107 VINOGOROVA Sofiia - 2% 10% 27% 34% 21% 5%
107 YU Stella 4% 22% 37% 27% 9% 1% -
110 JACHYMIAK Emilia 5% 21% 35% 27% 10% 2% -
111 BARROSO Isabela 1% 6% 22% 35% 26% 9% 1%
112 GUGALA Hanna - 2% 11% 28% 34% 20% 5%
113 LEOU Korina - 2% 12% 31% 34% 17% 3%
114 WANG Jiayi 1% 6% 21% 36% 28% 8% 1%
115 SHMULER Fiona 1% 10% 27% 34% 21% 6% 1%
116 DONG Angel 1% 6% 21% 34% 27% 9% 1%
116 STONE Coral 2% 15% 33% 32% 15% 3% -
116 KIM Grace 29% 43% 22% 5% 1% - -
119 DHAR Rana 1% 6% 22% 37% 27% 7% 1%
120 WEI JoyAnn - 1% 4% 17% 34% 33% 12%
121 KAUL Tara 8% 29% 36% 21% 6% 1% -
122 LOO Kaitlyn 4% 21% 36% 27% 10% 2% -
123 CHIANG Melissa 2% 15% 37% 35% 11% -
124 DAI Olivia - 5% 20% 37% 30% 8%
125 TANG Zhifei 3% 17% 36% 32% 11% 1%
126 HWANG Charlotte 8% 27% 35% 22% 7% 1% -
127 PABIAN Emilia - 5% 19% 35% 29% 10% 1%
128 SENGUPTA Jia 8% 28% 36% 22% 6% 1% -
129 MALLAMPATI Jaabili 13% 38% 34% 13% 2% < 1% -
130 LIU kai yin aria 1% 9% 27% 37% 22% 4%
131 YAM Danika 1% 6% 22% 37% 28% 7%
132 LIU Yifei - - 1% 9% 27% 40% 22%
133 MAO Elsa 6% 24% 36% 24% 9% 1% -
134 CARTER Keely - 1% 8% 24% 37% 25% 5%
135 GOLOVITSER Maya 1% 7% 22% 34% 26% 9% 1%
136 CHOI Charlotte - 3% 17% 36% 32% 11% 1%
137 XIE Nora - 4% 17% 32% 30% 13% 2%
138 SHEARER Alena 9% 28% 35% 21% 6% 1% -
139 LEE Alyson 1% 9% 25% 34% 24% 7% -
140 UEMOTO Lynn 1% 7% 23% 36% 26% 7% 1%
141 NAIR Supriya 1% 10% 28% 35% 20% 5% -
142 MERCHANT Aishwarya 1% 9% 28% 37% 21% 4%
143 SCOTT Eve - 5% 24% 43% 25% 3%
144 LIN Nicole - - 3% 13% 32% 37% 16%
145 MEYERSON Michelle 1% 7% 23% 34% 26% 8% 1%
146 BROWN Aria - 4% 18% 34% 30% 11% 2%
147 CHAVAN Arya - 3% 16% 34% 33% 13% 2%
148 MALEK Zolie - 1% 4% 17% 33% 32% 12%
149 ZHANG Ashley 2% 15% 35% 32% 13% 2% -
150 NG Sophia 9% 33% 39% 16% 2% - -
151 TONG Laurie 3% 15% 34% 32% 14% 2% -
152 SINGER Ellery 2% 16% 33% 32% 14% 3% -
152 SEVASTOPULO Sahra 8% 29% 36% 21% 6% 1% -
154 JEFFORDS Sophia 4% 22% 36% 26% 9% 1% -
155 LI Sonia 1% 12% 33% 37% 15% 2% -
156 DIECK Miranda P. - 2% 13% 32% 35% 16% 2%
156 NGUYEN Summer 21% 40% 28% 9% 1% - -
158 GAUTAM Sahana - - 2% 13% 32% 37% 16%
159 NANDA Maanika 23% 42% 26% 8% 1% - -
159 MAO anna 13% 33% 33% 16% 4% - -
159 HUANG Valencia 51% 38% 10% 1% - - -
162 PADANILAM Lily 3% 17% 33% 30% 14% 3% -
162 MAK Kaitlin 3% 17% 33% 30% 13% 2% -
164 MERMEGAS Olivia 6% 24% 36% 24% 8% 1% -
165 NGUYEN Madeleine 12% 32% 34% 17% 4% - -
166 TAN Adelyn - 1% 6% 23% 37% 27% 6%
167 ZHENG Valentina 2% 16% 36% 33% 11% 1% -
168 CALVIATI Ilaria 1% 10% 26% 33% 22% 7% 1%
169 LOMOTAN Addison 6% 25% 37% 25% 7% 1%
170 LITTLE Avery - 2% 19% 40% 31% 8%
171 LUKER Hannah 10% 30% 35% 19% 5% -
172 KIM Audrey 28% 42% 23% 6% 1% -
173 HAN Emma 3% 23% 39% 27% 8% 1%
174 WONG Charlene 26% 42% 25% 7% 1% -
175 TISSONE Veronica 36% 42% 18% 3% - -
176 MEDVINSKY Alexandra - 1% 9% 27% 36% 22% 4%
177 DANTULURI Shalini - 4% 15% 31% 33% 15% 2%
178 KIRBY Skye 11% 31% 34% 18% 5% 1% -
179 HALPERIN Elizabeth H. 4% 20% 34% 28% 12% 2% -
180 NAYAK Antara 9% 29% 35% 20% 6% 1% -
181 COLBY Mercer 3% 20% 37% 28% 10% 1% -
182 HU Anna - 5% 19% 34% 29% 11% 1%
183 VINOKUR Anita 3% 18% 35% 29% 12% 2% -
184 VADASZ Ibla P. - - < 1% 2% 14% 40% 43%
185 BARNES Sarah 31% 41% 21% 5% 1% - -
186 MUNGUIA Mila - 6% 24% 38% 25% 7% 1%
186 MISHEV Lila 8% 29% 36% 20% 6% 1% -
186 XIAO Cindy 1% 8% 29% 37% 21% 5% -
189 MAKLIN Sofia - 1% 6% 23% 39% 26% 6%
189 DAMBAL Sasha - 3% 13% 31% 34% 16% 2%
191 SCHAIBLE Sofia L. - 5% 19% 35% 30% 11% 1%
191 DEHON Inès - 13% 34% 34% 16% 3% -
191 BERRIOS Catalina 2% 22% 41% 27% 7% 1% -
194 ZHU Quanyue - 1% 7% 23% 36% 26% 6%
195 WU Yuwei 1% 8% 27% 37% 22% 5% -
195 LEE Lauren 3% 15% 32% 31% 15% 4% -
195 MACKAY Katherine - 3% 15% 33% 32% 14% 2%
198 HUANG Rachael - 1% 9% 28% 38% 20% 3%
199 WALLER London 2% 14% 33% 34% 15% 3% -
200 ZHAN Sophie 1% 12% 30% 34% 18% 4% -
201 KRASOWITZ Lucy 6% 23% 35% 25% 9% 1% -
202 TENG EMMA - 3% 16% 34% 32% 12% 2%
202 PASUPULETI Laya 21% 39% 28% 10% 2% - -
204 SOURIMTO Valeria - - 1% 11% 35% 41% 12%
204 GENTILE Vittoria 1% 8% 24% 35% 25% 7% -
206 BUHAY Kirsten M. 1% 9% 26% 34% 22% 7% 1%
206 CHEN Kevy 8% 28% 35% 21% 6% 1% -
208 LI Alexis - 2% 11% 28% 35% 20% 4%
209 LONG Jessie 1% 9% 28% 37% 20% 5% -
210 KWON Ava 1% 19% 38% 29% 10% 2% -
211 XU Elaine 1% 11% 29% 35% 19% 5% -
212 LIU Hannah 7% 36% 38% 16% 3% - -
213 MEFFORD Isadora 75% 22% 2% - - - -
214 HUANG Neila 20% 40% 29% 9% 1% - -
215 LOURENCO Alexandra 14% 37% 33% 13% 2% - -
215 MURPHY Jessica 15% 40% 32% 11% 2% - -
217 CHANG Annette 4% 23% 38% 26% 8% 1% -
218 BERMAN greta - 4% 18% 39% 33% 7%
219 NADKARNI Marisa 2% 17% 38% 31% 11% 1%
220 ZOLLER Noelle 1% 7% 23% 36% 27% 7%
221 MOON Claire 19% 40% 30% 10% 1% -
222 CHI Claire 4% 20% 36% 29% 10% 1%
223 NING Lynn 21% 41% 28% 9% 1% -
224 WONG Natalie 4% 22% 38% 27% 8% 1%
225 NARUT Zoe 23% 58% 17% 2% - -
226 VATS Ishita 23% 42% 27% 7% 1% - -
227 MCAFEE Jada 9% 29% 35% 20% 6% 1% -
227 DUDNICK Morgan 2% 13% 32% 34% 16% 3% -
229 REN Katherine 7% 25% 36% 23% 8% 1% -
230 YANG Caroline 26% 45% 24% 5% - - -
231 SADANI Jyotika 10% 32% 37% 17% 4% - -
232 YAO Rainie 1% 8% 25% 35% 24% 7% 1%
233 XU Emily T. - 4% 19% 37% 31% 8% 1%
234 MULLER Inara 6% 25% 37% 25% 7% 1% -
235 FOSS Persephone 3% 19% 36% 29% 10% 1% -
235 ELLIS-FURLONG Ava 1% 12% 33% 34% 16% 3% -
237 CHERON Helene 12% 33% 34% 16% 4% - -
238 RIFKIN Lielle 42% 40% 15% 3% - - -
239 POLSTON Ella 32% 41% 21% 5% 1% - -
240 YADAV Tishya 6% 29% 38% 21% 5% 1% -
240 HUANG Pierra 10% 33% 37% 17% 4% - -
242 BORGUETA Madison 17% 39% 31% 11% 2% - -
242 HUGHES-WILLIAMS Adelayde 2% 11% 28% 34% 20% 5% -
244 XA-CHIN Sara 1% 9% 25% 35% 23% 6% 1%
245 ASHTIANI Shaya 9% 28% 35% 21% 6% 1% -
246 LIANG Claire 13% 36% 34% 14% 3% - -
246 OH Chloe 65% 30% 5% - - - -
248 ZHAO Selena 5% 26% 39% 23% 7% 1% -
249 CHIU Philippa 64% 31% 5% - - - -
250 HUSS Miriam 36% 42% 18% 4% - - -
251 KIM Alexia 29% 42% 23% 6% 1% - -
252 BORDAS HILL Georgiana 10% 33% 36% 17% 3% -
253 KRIVOSHEEV Alexandra 1% 11% 30% 35% 19% 4% -
254 WILSON Eva 9% 30% 36% 20% 5% -
254 LU Angela 63% 34% 3% - - -
256 TURIANO Nadelle 6% 23% 35% 25% 9% 1% -
256 DESAUTELS Alexandra 35% 43% 18% 4% - - -
258 WONG Cerise 26% 40% 25% 8% 1% - -
258 STADNIK Emilia 10% 30% 35% 19% 5% 1% -
260 RANJAN Diya 8% 31% 38% 19% 4% -
261 GILLENTINE Madelyn 85% 14% 1% - - - -
262 LEE Kaitlin 29% 43% 23% 5% - -
262 JUDE Simona 68% 28% 4% - - -
264 KANG Soeun 31% 44% 21% 4% - - -
264 FINN Lucy 42% 40% 15% 3% - - -
266 DOLEV Rony 31% 42% 21% 5% 1% - -
267 LIM Alexa J. 19% 43% 30% 7% 1% - -
267 PROBASCO Leila 2% 23% 41% 26% 7% 1% -
269 KHOST Maeve 15% 39% 33% 11% 2% - -
269 QUINN Anna 11% 32% 34% 18% 5% 1% -
269 HAM Elizabeth 49% 38% 11% 1% - - -
272 FLEEGER Sophia 44% 40% 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.