National Championships and July Challenge (Summer Nationals)

Y-14 Women's Saber

Saturday, July 5, 2025 at 8:00 AM

Baird Center - Milwaukee, WI, 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 VINOGOROVA Sofiia - - - 4% 28% 68%
2 CONG Anne - - - 4% 22% 46% 27%
3 AWAD Royce - - - 1% 8% 36% 55%
3 MACKAY Katherine - - - 1% 11% 47% 41%
5 BROWN Aria - - - 3% 17% 43% 37%
6 PANTALEON-MAZOLA Amari - - - 2% 12% 39% 47%
7 LEI Zitong (Meya) - - 1% 5% 22% 42% 30%
8 HU Anna - - - 1% 12% 40% 47%
9 CHOI Charlotte - - 1% 9% 26% 40% 23%
10 BUSH Bethany - - - 1% 10% 36% 52%
11 GONG Joy - - - 4% 20% 46% 30%
11 XIAO Cindy - - 1% 10% 29% 40% 20%
13 IANNUZZI Lucy - - 2% 13% 35% 38% 11%
14 HSU Leah - - - 1% 12% 40% 47%
15 YOUNG Charlotte G. - - - 2% 13% 40% 45%
16 GONZALEZ Veronika - - 1% 8% 29% 44% 18%
17 FAN Alexandria - - - 3% 15% 40% 41%
17 FUNG Iris - - - 3% 17% 44% 35%
19 DAMBAL Sasha - - - 4% 19% 42% 35%
19 LONG Jessie - - - 4% 18% 43% 35%
19 KAUL Tara - - 5% 22% 44% 29%
22 GAY Sasha - - - 3% 16% 41% 39%
23 NG Sophia - - 3% 14% 34% 37% 12%
24 ZHU Avril - 1% 7% 25% 38% 24% 4%
25 OSMINKINA-JONES Kai - - 1% 7% 28% 45% 19%
26 LEOU Korina - - - 2% 14% 42% 42%
27 GAIKWAD Ashmiee - - 1% 7% 28% 45% 19%
28 NEMORIN Rei - - 5% 21% 38% 29% 8%
29 KIM Satie - - 3% 13% 31% 37% 16%
30 KIM Grace - 4% 18% 33% 31% 12% 1%
31 BERRIOS Catalina - 4% 19% 40% 33% 5%
32 WANG Tina - 2% 10% 28% 36% 21% 4%
33 DHAR Rana - - - 3% 17% 43% 38%
34 LIN Elaine - - - 2% 15% 43% 39%
35 GUGALA Hanna - - - 1% 10% 38% 50%
36 KANG Ellie - - - 3% 17% 44% 36%
37 WANG Jiayi - - 1% 9% 30% 40% 19%
38 ZHAI AMY - - 1% 9% 31% 44% 15%
39 LIU kai yin aria - - - 2% 14% 43% 41%
40 CASTELO Soleil - - 2% 10% 29% 41% 19%
41 TONG Laurie - - 4% 20% 38% 30% 7%
42 GOEL Lineysha 1% 8% 28% 38% 21% 5% -
43 KU Alathea-Joy - - 1% 6% 24% 43% 26%
44 CHANG Annette - 1% 6% 24% 40% 25% 4%
45 HUGHES-WILLIAMS Adelayde - - 2% 13% 33% 37% 15%
46 CHAN Jolene - - - 2% 14% 43% 41%
47 MULLER Inara - - 3% 20% 41% 30% 6%
48 VUDTHITHAMRONG Vivienne - 3% 20% 37% 28% 9% 1%
48 LAFFY Lily - - 5% 26% 41% 24% 4%
50 MAK Kaitlin - 1% 9% 27% 36% 22% 4%
51 LIU Hannah - - - 3% 16% 41% 39%
52 KU Chloe - 1% 8% 28% 39% 21% 3%
53 YANG Felicia 3% 20% 39% 28% 9% 1% -
54 HU Ashley 4% 23% 39% 26% 8% 1% -
55 CHANG Norah - - 2% 13% 34% 37% 14%
55 ZHAO Selena - 3% 14% 31% 34% 16% 3%
57 MEYERSON Michelle - - 3% 15% 35% 35% 11%
58 ILAGAN Ava - 3% 14% 32% 34% 15% 2%
59 SUNG Isabella - 1% 7% 29% 40% 20% 3%
60 ZHENG Winona - 1% 7% 26% 39% 23% 3%
61 CHERUKURI Tanvi 3% 21% 41% 28% 7% -
62 KANG Soeun 2% 13% 32% 34% 16% 3% -
63 LAUREYNS Ainsley 1% 6% 23% 36% 26% 7% 1%
64 FERRIS Madeline 1% 11% 30% 35% 18% 4% -
65 KURAEVA Vasilisa - - - 3% 15% 41% 42%
66 XU Elaine - - 1% 8% 29% 44% 17%
67 DAVIDOVA Kira - - - 5% 31% 64%
68 YADAV Tishya - 1% 13% 35% 36% 13% 1%
69 KIM Saeren - - 2% 14% 35% 37% 11%
70 KWON Hannah - - 3% 15% 37% 35% 9%
71 LAI Karen 4% 22% 39% 27% 7% -
72 YUEN Nicole - - - 2% 15% 50% 33%
73 BANDHU Saahiti 1% 10% 26% 34% 22% 7% 1%
74 NADKARNI Marisa - - 3% 15% 32% 35% 14%
75 HUANG Valencia 4% 25% 38% 24% 7% 1% -
76 NING Lynn - 4% 22% 42% 28% 4%
77 MERRITT Annabelle 1% 10% 28% 37% 21% 3% -
78 KIM Alexia 3% 18% 35% 31% 12% 2% -
78 PARK Chloe - 3% 14% 32% 33% 15% 2%
80 FOSS Persephone - 1% 8% 24% 35% 25% 6%
80 MAJEWSKA Maria 3% 17% 35% 31% 12% 2% -
82 CAI Joanna 3% 17% 34% 31% 13% 2% -
83 CHEN Cindy 2% 14% 35% 36% 13% 1%
84 OCA Merci - 1% 6% 21% 36% 28% 8%
85 YU Skylar - 2% 14% 36% 36% 11%
86 YU Stella - 1% 8% 27% 39% 21% 3%
87 NIU Jessica - 3% 15% 38% 34% 10%
88 KATZ Emma 1% 7% 22% 35% 26% 9% 1%
88 SUNG Olivia - - 4% 20% 40% 30% 6%
88 RAGHURAMAN Anishka - 1% 7% 24% 36% 25% 7%
91 TA-ZHOU Sophia 1% 14% 33% 33% 15% 3% -
92 CHOWDHERY Myra - 3% 17% 35% 31% 12% 2%
93 MAK Jayden - 5% 19% 34% 29% 11% 1%
94 HWANG Charlotte - - 5% 21% 40% 29% 5%
95 HEATH Isabella - 2% 13% 31% 33% 17% 3%
96 PARK Haylie - 4% 18% 37% 31% 9% 1%
97 HUANG Pierra - 5% 24% 42% 26% 3%
98 WONG Natalie - - 1% 8% 28% 44% 19%
99 MOON Claire - 2% 13% 30% 34% 18% 3%
100 HSIEH Lucia - 1% 6% 22% 37% 28% 7%
101 YERENKOVA Ameliia 1% 7% 25% 36% 24% 7% 1%
102 HU Heidi - 4% 18% 35% 31% 12% 1%
103 CHENG Anna 1% 12% 35% 35% 14% 2% -
103 DING Jolie 4% 21% 37% 28% 9% 1% -
105 VATS Ishita - 3% 14% 33% 34% 14% 2%
106 JUNG Sienna 4% 22% 37% 27% 9% 1% -
107 KWON Ava - 1% 8% 25% 38% 24% 4%
108 BABOLDASHTIAN Rosegol - 5% 21% 37% 27% 8% 1%
109 DUFF Caitlin 2% 13% 34% 34% 14% 2% -
110 REN Katherine - - 4% 19% 38% 30% 7%
111 DESAUTELS Alexandra 1% 13% 32% 33% 16% 4% -
111 WONG Charlene - 3% 13% 30% 34% 17% 2%
111 CHENG Zijuan "Grace" - 5% 19% 34% 29% 11% 1%
114 SENGUPTA Jia - 1% 7% 24% 38% 25% 5%
115 CAO Kim 1% 10% 26% 34% 22% 7% 1%
116 RUSMEVICHIENTONG Lyla 1% 9% 27% 36% 21% 5% -
117 JUNG Elise 3% 19% 36% 29% 11% 2% -
118 SEO Kaitlyn - 1% 9% 28% 37% 21% 4%
119 LEE Kaitlin - 4% 19% 36% 30% 9% 1%
120 SCHAMBERGER Amelia 23% 42% 27% 7% 1% - -
121 GUO Daisy 14% 35% 33% 15% 3% - -
122 MISHEV Lila - 4% 17% 35% 31% 11% 1%
123 SANTIAGO Hannah 3% 25% 41% 24% 6% 1% -
124 LIANG Claire - 6% 26% 39% 23% 5% -
125 KANIA Brigitte 3% 16% 34% 31% 13% 3% -
126 MORINAGA Mirai 3% 17% 33% 31% 14% 3% -
127 YOUNG Sienna - 8% 32% 38% 18% 3% -
128 ELLINGWOOD Sophia 28% 41% 24% 7% 1% - -
129 DOLEV Rony - 3% 14% 32% 33% 15% 2%
130 YANG Caroline - 4% 17% 34% 31% 12% 2%
131 SARATH Sana 3% 17% 36% 30% 12% 2% -
132 NGUYEN Summer - 4% 22% 40% 27% 7% 1%
133 WONG Cerise - 4% 15% 31% 32% 15% 3%
134 MOTOVA Masha 4% 29% 40% 21% 5% - -
135 BAIK Sarah - - 4% 17% 35% 32% 11%
136 ROBBINS Adele 1% 8% 26% 36% 23% 6% 1%
137 CLAIANU Adriana 17% 41% 31% 9% 1% -
138 SUN Angela 20% 42% 29% 8% 1% -
139 ZHANG Ashley - 1% 9% 28% 37% 21% 3%
140 DUTA Lyra - 2% 12% 31% 37% 16% 2%
140 ZONG Eliane 1% 10% 31% 37% 18% 3% -
142 LIN Ariel 3% 16% 32% 31% 15% 3% -
143 LIN Rachel 6% 31% 38% 19% 5% 1% -
144 CHIU Philippa 17% 37% 31% 12% 2% - -
145 KONZEN Iris 4% 21% 37% 27% 9% 1% -
146 FLEEGER Sophia 2% 20% 40% 28% 8% 1% -
146 KAZA Aditi 33% 44% 19% 4% - - -
148 HO Sophia 1% 12% 35% 35% 15% 3% -
149 AN Jamie 32% 43% 21% 4% - -
150 MUTHAPPAN Sahana 1% 7% 25% 37% 23% 6% -
150 BHAVSAR Vanmayi 5% 23% 36% 26% 9% 1% -
152 ROSTHOLDER Hannah 2% 12% 30% 34% 18% 4% -
153 STOLCKE Saskia 10% 31% 35% 18% 5% 1% -
154 MING Emma 1% 8% 27% 37% 21% 5% -
154 TABANCAY Ava 23% 42% 27% 8% 1% - -
156 MEADE Kaia G. 20% 41% 29% 9% 1% - -
157 ZHANG Olivia 3% 17% 35% 31% 12% 2% -
158 REDA Sophie - 4% 24% 38% 26% 8% 1%
159 TOPALOV Julia 14% 35% 34% 15% 3% - -
160 BRIMMER Bella 1% 13% 35% 34% 14% 2% -
161 KAZA Ananya 1% 10% 31% 37% 18% 3% -
162 CAI Veronica 1% 8% 25% 36% 23% 7% 1%
163 HILD Anya - 8% 29% 38% 20% 4% -
164 MIKSOVSKY Katherine 15% 43% 32% 9% 1% - -
165 YE Madeleine 1% 10% 31% 36% 18% 4% -
166 NARAYANAN Sinduja 8% 28% 35% 22% 7% 1% -
167 LONG Chloe - 4% 17% 35% 32% 11% 1%
168 CONVERSO-PARSONS Maia 6% 25% 37% 24% 7% 1% -
169 XU Rachel 8% 28% 35% 21% 7% 1% -
170 KISARA-KELLY Aiko 15% 42% 34% 8% 1% - -
171 NANDA Maanika - 3% 17% 36% 31% 11% 1%
171 ERPELDING Emily 6% 24% 35% 25% 9% 1% -
171 HENRY Erin 17% 38% 32% 12% 2% - -
174 WILFRET Katerina 12% 36% 35% 14% 3% - -
175 CHERON Helene 1% 8% 24% 34% 24% 8% 1%
176 NAKATA Gwyneth 59% 33% 7% 1% - - -
176 NARUT Zoe 2% 10% 27% 33% 21% 6% 1%
178 JUN Sofia 7% 27% 37% 23% 6% - -
179 ARVIND Heera 23% 42% 26% 7% 1% - -
180 MCCARTHY Nora Louisa Abrous 17% 43% 31% 8% 1% -
181 GAO Olivia 16% 36% 31% 14% 3% - -
182 WEI Madison 2% 11% 28% 35% 20% 4% -
183 LEIGH Adalene 1% 7% 27% 39% 21% 5% -
184 CAFAGNA Sofia 13% 35% 34% 15% 3% - -
184 OEI Allyson 17% 39% 31% 11% 2% - -
186 BORGUETA Madison - 4% 18% 37% 31% 9% 1%
187 HUANG Megan 19% 42% 29% 9% 1% - -
188 LEE Elise 9% 28% 35% 21% 6% 1% -
189 KONTOS Demitra 26% 41% 25% 7% 1% - -
190 BHASKARA Srita Pratika 28% 46% 23% 3% - - -
190 THOMAS Riley 33% 44% 19% 4% - - -
192 SMITH Genevieve 40% 42% 16% 3% - - -
192 BABB Virginia 7% 30% 37% 20% 5% 1% -
192 CANARAN Daphne M. 3% 30% 41% 21% 5% - -
195 KARAVAS Lucy 28% 42% 23% 6% 1% - -
197 JOHNSTON Sabrina 21% 51% 23% 4% - - -
198 MISHRA Riona 22% 42% 28% 8% 1% - -
198 BUSSELL Ava 20% 45% 27% 6% 1% - -
200 SYKES Eleanor 4% 21% 35% 27% 10% 2% -
201 LI Bernadette 60% 34% 5% - - - -
202 ZOFFEL Gabriela 10% 35% 37% 16% 2% -
203 YANG Renee 55% 36% 8% 1% - - -
203 JOHNSON Marlee 43% 40% 14% 2% - - -
205 DU Jessica 38% 42% 17% 3% - - -
207 CHACKO Anne 16% 42% 33% 8% 1% - -
208 OLESKY Ellie 8% 27% 35% 22% 7% 1% -
208 WITWER Vivienne 19% 39% 29% 10% 2% - -
210 LYNCH Vivian 75% 23% 2% - - - -
211 BIESIADA Sophia 6% 24% 36% 25% 8% 1% -
212 PATIL Jyothi 5% 29% 38% 21% 5% 1% -
213 XIONG Grace < 1% 3% 16% 34% 33% 13% 1%
213 CONG Catherine 20% 44% 28% 7% 1% - -
215 BURGESS Brees 9% 32% 36% 18% 4% - -
216 HAGN Luna 9% 33% 37% 17% 4% - -
216 DOROBANTU Emma 27% 44% 23% 5% 1% - -
216 SUTHERLAND Sadie 55% 36% 9% 1% - - -
219 PATEL Sia 52% 40% 8% 1% - - -
220 DUDNICK Caitlin 11% 35% 37% 15% 2% -
220 NARRELL Olive 45% 41% 12% 1% - - -
222 ESTEVES ZOE 18% 40% 30% 10% 2% - -
222 WANG Keira 8% 30% 38% 20% 4% - -
222 GARCIA RODRIGUEZ Victoria Maria 15% 51% 28% 6% 1% - -
225 MISHRA Naisha 6% 28% 40% 21% 4% - -
226 BACKES Anastasia 35% 44% 18% 3% - -
227 POWERS Waverly 4% 19% 36% 30% 11% 1% -
227 WELCH Greta 76% 22% 2% - - - -
229 ARGUELLO Camilla 14% 36% 33% 14% 2% - -
229 ANDERSON Kathryn 66% 29% 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.