March NAC

Cadet Women's Épée

Monday, March 10, 2025 at 8:00 AM

Huntington Convention Center of Cleveland - Cleveland, 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 YOUNG VIVIAN - - 1% 5% 23% 42% 29%
2 KOZLOWSKI Maya M. - - - 1% 6% 31% 63%
3 FERREIRA DE MELO Adriana - - - 1% 10% 39% 50%
3 WANG Ziqi (yoyo) - - - 2% 14% 41% 42%
5 PROFIS Liora - - - 1% 9% 37% 53%
6 WANG Zoe - - - 2% 12% 38% 49%
7 BEAVER Ava - - 1% 5% 23% 44% 27%
8 CAFASSO Natalya - - - 1% 8% 35% 56%
9 XU Yvette - - 4% 19% 42% 34%
10 HOLDEN Helena - 1% 6% 21% 36% 29% 9%
11 SEREGIN Katya - - - 1% 11% 38% 49%
12 LEE Claire - - 1% 7% 25% 42% 25%
13 CAMPBELL Eva - - 2% 13% 41% 44%
14 WANG Jessie - 2% 14% 34% 36% 14%
15 HE Anna - 2% 10% 27% 35% 22% 5%
16 XU Sunia (Tai Yang) - 4% 17% 33% 31% 13% 2%
17 FRANGER Macy - - - 1% 8% 35% 56%
18 BEATIE Isabella M. - 1% 5% 20% 37% 29% 7%
19 NEELAM Navya - - - 5% 22% 44% 29%
20 ADYANTHAYA Anika - 1% 8% 26% 37% 23% 5%
21 RICHARDSON Meredith - - 1% 5% 23% 43% 29%
22 TISMENSKY Abigail 1% 10% 30% 37% 19% 3%
23 LEE Gloria Y. - 4% 16% 34% 34% 12%
24 GANSER Nicole - 4% 17% 33% 31% 13% 2%
26 BALAZS Luca - 3% 14% 32% 35% 15% 2%
27 PRESMAN Aerin - - 2% 14% 40% 43%
28 WONG Sydney 2% 18% 36% 31% 11% 2%
29 XIAO Nancy - - 3% 16% 36% 34% 11%
30 BALAKRISHNAN Trisha - - 3% 13% 32% 37% 15%
31 MARTINEZ Christina - 2% 13% 32% 34% 16% 3%
32 DESANTIS-IBANEZ Elena 1% 8% 27% 38% 22% 4%
33 GUO Luxi - - - - 6% 34% 60%
34 FLITMAN Gabrielle - 1% 9% 28% 39% 20% 3%
35 OLELE Ifechi 2% 13% 33% 35% 16% 2%
36 QI Julieanne - - 2% 14% 35% 36% 13%
37 SCHMITT Harper - - 2% 11% 31% 39% 18%
38 WEI Sherry - 4% 18% 34% 30% 12% 2%
39 FU Shannon 1% 7% 23% 36% 25% 7% -
40 EKSHTUT Leah 1% 10% 31% 36% 18% 4% -
41 LIN Isabel - 4% 17% 35% 31% 11% 1%
42 DHAIYA Tanya 1% 6% 23% 37% 26% 7% 1%
43 LEE Camilla - 2% 15% 37% 35% 11%
44 SONG Sunny - 4% 19% 37% 31% 10%
45 ABUELFUTUH Sama - - 1% 8% 28% 43% 21%
46 GOH Cayla - - 8% 31% 39% 19% 3%
47 SMUK Alexandra S. - - - 2% 15% 42% 40%
48 XU Jessica - - 3% 16% 37% 35% 8%
49 SHAYAKHMETOVA Suzanna - 1% 7% 26% 42% 21% 2%
49 ZHANG Michelle - - 2% 17% 39% 33% 8%
51 TALANDZEVICIUS Sophia - 3% 15% 34% 33% 13% 2%
52 MISHIMA Audrey - 2% 13% 33% 35% 15% 2%
53 KUMAR Eva - - 1% 8% 29% 42% 20%
54 HANKINS Morgan - 2% 12% 32% 38% 16%
55 NOVOJILOV Anastasia - 4% 20% 41% 30% 6%
56 LISCUM Vivian - 3% 17% 36% 33% 11%
57 ZHAN Clare 1% 13% 33% 34% 16% 3% -
57 WANG Angelina - 2% 13% 31% 36% 16% 2%
59 KANASKAR Ila - 2% 11% 30% 36% 19% 3%
60 FENG Iris 1% 11% 31% 35% 18% 4% -
61 JIN Zhengtian - 4% 18% 35% 32% 11%
62 WANG Chantal 2% 14% 36% 34% 12% 2% -
63 TISMENSKY Avital 1% 12% 31% 34% 18% 4% -
64 YANG Hanting(Catherine) - 1% 12% 34% 38% 14%
65 LI Olivia - - 1% 6% 24% 44% 25%
66 CHI Zoe 4% 21% 36% 28% 10% 1%
67 WANG Cecilia 7% 26% 37% 23% 6% 1%
68 WU Jessica - 2% 13% 33% 35% 15% 2%
69 MENDOZA zoie - - 6% 27% 41% 22% 4%
69 ZHANG Jane 2% 13% 32% 33% 17% 4% -
69 XU Amy(Chenyu) 5% 24% 36% 25% 8% 1% -
72 WANG Victoria - - 2% 13% 31% 37% 16%
73 NING Miranda 10% 32% 36% 18% 4% -
74 ZHONG Evelyn 19% 45% 28% 7% 1% -
75 SU Evelyn - 1% 10% 30% 40% 19%
76 HABEK Sophia - - 4% 18% 37% 32% 9%
77 LEE Adelynn 2% 13% 34% 34% 15% 3% -
78 YU Eva - 5% 19% 34% 29% 11% 2%
79 WU Michelle - - 4% 18% 36% 32% 10%
80 CARRIER Meredith - - - 4% 18% 42% 36%
81 WANG Sophie Y. - 1% 9% 28% 37% 21% 4%
82 KAUR Manroop - 1% 8% 27% 38% 22% 4%
83 SUN Hanya - - 2% 11% 36% 41% 9%
84 BISONO Valentina 2% 13% 32% 35% 16% 2%
85 YU Livia 15% 39% 32% 11% 2% - -
86 AWALEGAONKAR Saina 1% 7% 23% 36% 26% 7% 1%
87 AKUDOVICH Aleena 5% 22% 36% 27% 9% 1% -
88 MAI Mailan - 2% 12% 32% 35% 17% 3%
89 MYRAH Vivienne - 2% 10% 29% 37% 19% 2%
90 HALE Avery 1% 10% 30% 37% 18% 4% -
91 ILYAS Ayah - 1% 8% 28% 42% 21%
92 LIANG Carina 6% 33% 41% 17% 3% -
93 HAUSHEER Kuncen - 2% 16% 39% 34% 8%
94 HU Constance 4% 21% 37% 28% 8% 1%
95 WANG Chloe 8% 34% 37% 17% 3% -
96 SUICO Kyubi Emmanuelle 1% 9% 28% 37% 21% 4%
97 QIU Emily - 1% 7% 26% 39% 23% 4%
98 KROPP Anne - 1% 5% 21% 38% 29% 7%
98 LIU Chloe 8% 33% 37% 17% 4% - -
100 YUNG Bethany 2% 14% 35% 34% 14% 2% -
101 MERRIMAN Rie - 1% 7% 24% 38% 26% 5%
102 WONG Caitlin - 1% 9% 26% 37% 23% 5%
103 BI Michelle 3% 18% 35% 30% 12% 2% -
104 WANG Ziqiao (Claire) - 2% 11% 30% 37% 19% 2%
105 CHIOU-WILLIAMS Matea - 6% 25% 38% 24% 6% 1%
106 PETROFF Eva 1% 14% 38% 33% 12% 2% -
106 VOSKOV Olivia - 4% 19% 36% 30% 10% 1%
108 KANE Alexa 2% 16% 37% 32% 11% 1% -
109 WANG Ailly 11% 33% 35% 17% 4% - -
110 YOUN Kylie 24% 42% 26% 7% 1% - -
111 DENEALE Lucia 13% 35% 34% 15% 3% - -
112 FAN Joy 7% 33% 37% 18% 4% - -
113 FISCHBEIN Quinley 3% 19% 37% 30% 10% 1%
114 MOHAN Riya 9% 30% 36% 20% 5% 1%
115 ANEZIOKORO Zahra 1% 12% 32% 35% 17% 3%
116 ELTERMAN Kate 2% 14% 35% 33% 14% 2%
117 DOBROSAVLJEVIĆ Kalina 3% 18% 40% 30% 9% 1%
118 IYER Ishana - 1% 6% 23% 38% 27% 5%
119 JEYOON Lauren 1% 12% 44% 32% 9% 1% -
120 PAN Angela - 3% 17% 36% 32% 11% 1%
121 DU Andria 4% 37% 40% 16% 3% - -
122 WANG Lihong 1% 7% 23% 34% 25% 8% 1%
123 LI Jasmine 25% 42% 25% 7% 1% - -
124 TAM Connie 1% 7% 24% 35% 25% 8% 1%
125 XU Serena - 1% 9% 29% 41% 19%
125 VIOLETTE Lih-Ann 32% 43% 20% 4% - -
127 LEE Kaitlyn 5% 22% 36% 27% 9% 1% -
128 LI Carlie 27% 42% 24% 6% 1% -
129 GAN Shelby - 5% 22% 37% 27% 7% 1%
130 MA Sophie 1% 6% 23% 37% 27% 7%
131 CUEVA Viola 14% 36% 34% 14% 3% -
132 CARCELLER Bernardita (Tini) 1% 10% 29% 37% 20% 3%
133 KUTSY Olga 3% 24% 42% 25% 6% -
134 XU Aasta 17% 41% 30% 10% 1% - -
135 SUN Karolyn 3% 19% 38% 29% 10% 1% -
136 BOROTKO Katerina - 4% 19% 36% 29% 10% 1%
136 HAN Sydney 34% 44% 18% 3% - - -
138 YIP Allison 28% 42% 23% 6% 1% - -
139 FENG Esther 25% 44% 25% 6% 1% - -
140 LI Chloe 44% 41% 13% 2% - - -
141 LI Alice 2% 11% 29% 34% 19% 5% -
142 CHERNOBRIVETS Maria 16% 41% 32% 10% 2% - -
143 JIANG chenxi 15% 37% 32% 13% 2% - -
144 CHEN Julia Z. 38% 44% 16% 2% - -
145 LOBANOVA Varvara - 2% 12% 31% 36% 17% 2%
146 YAN Ximei (Alicia) 5% 27% 37% 23% 7% 1% -
147 LI Caroline - < 1% 4% 18% 38% 33% 7%
148 ZHENG Erin 6% 24% 37% 25% 8% 1% -
149 STERN Savannah - 4% 19% 35% 30% 11% 1%
150 GOLIYAD Lisa 1% 7% 24% 36% 24% 7% 1%
151 PEI Claire 5% 25% 40% 23% 6% 1% -
152 VIJAY Vaishnavi 8% 28% 36% 21% 6% 1% -
153 SHETH Anayaà 15% 38% 33% 13% 2% - -
154 ZU Jacqueline 28% 43% 23% 5% 1% - -
155 AHMAD Sophia 5% 22% 36% 27% 9% 1% -
156 DYMAR Anna 2% 16% 36% 31% 12% 2% -
157 XU Emily 13% 36% 34% 14% 2% - -
158 MENG Fina 8% 30% 38% 19% 5% - -
158 IVANOV Angela-Sophie 25% 56% 17% 2% - - -
160 YOON Claire 65% 30% 5% - - - -
161 LI Nicole 31% 43% 21% 5% - - -
162 TISHKOVA-ROBERTS Daria 49% 39% 11% 1% - - -
162 WU Madisen 14% 35% 34% 14% 3% - -
164 LI Xier 18% 43% 30% 9% 1% - -
165 KELLER Mia 55% 39% 6% - - - -
166 WATTANAKIT Anda < 1% 1% 6% 25% 43% 25%
167 BURROWS Beatrice 48% 39% 11% 2% - -
168 LI Yunxuan (Joy) 21% 40% 28% 9% 2% -
169 ARULKUMAR Lashia 11% 35% 35% 16% 3% -
169 HOWARD Katherine 52% 37% 10% 1% - -
171 LI Wan-Tao 62% 32% 5% - - -
172 CHEN Laila 5% 33% 39% 18% 4% - -
173 MAENG Gloria 30% 44% 21% 4% - - -
174 SHIN Jamie 53% 37% 9% 1% - - -
175 KOU Cynthia 10% 34% 36% 17% 3% -
176 LU Chloe 21% 43% 28% 7% 1% - -
177 YU Chloe 12% 35% 35% 15% 3% - -
178 SHABBIR Aiza 51% 38% 10% 1% - - -
178 CHAN Macie 30% 41% 22% 6% 1% - -
180 ZHAO Yanning 12% 40% 34% 12% 2% - -
180 RAPTIS Layla 31% 44% 21% 4% - - -
182 THOMAS Mackenzie 79% 19% 1% - - - -

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.