Division 1 & Para Championships / April NAC

Junior Women's Épée

Monday, April 27, 2026 at 8:00 AM

Greater Richmond Convention Center - Richmond, VA, 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 KORFONTA Jolie - - - - 5% 30% 65%
2 LEE Scarlett - - - 1% 9% 36% 54%
3 CHI Chelsea - - - 5% 22% 43% 30%
3 ZHANG Victoria R. - - - 2% 12% 40% 46%
5 GUO Luxi - 1% 6% 22% 41% 30%
6 WANG Zoe - - - 3% 16% 42% 39%
7 YANG Hanting(Catherine) - 4% 19% 36% 30% 10% 1%
8 YOUNG VIVIAN - - 3% 18% 43% 36%
9 ZIGALO Elizabeth - - - 1% 8% 35% 56%
10 RAKHOVSKI Alexandra - - - 3% 16% 40% 41%
11 CHISHOLM Phoebe C. - - 3% 17% 36% 33% 11%
12 PROFIS Liora - - 1% 5% 21% 42% 31%
13 GAJJALA Sharika R. - - - - 5% 31% 63%
14 XU Yvette - 1% 6% 22% 38% 27% 6%
15 ABUELFUTUH Sama - 1% 5% 21% 38% 29% 6%
16 GEVA Eliana - 2% 15% 34% 33% 14% 2%
17 KIM Zoe L. - - 1% 6% 25% 43% 25%
18 NEMETH Katherine - - 2% 11% 29% 39% 20%
19 SONG Angela - - 1% 7% 26% 42% 23%
20 FRANGER Macy - - 2% 13% 36% 40% 9%
21 SHIV Avni - - - 3% 16% 42% 39%
22 WITTER Catherine A. - - 1% 5% 19% 41% 34%
23 ILYAS Ayah - 1% 10% 28% 35% 20% 4%
24 BEAVER Ava - 1% 9% 27% 37% 22% 3%
25 PECK Maia A. - - 5% 25% 51% 19%
26 BEZUGLAYA Varvara - - - 2% 17% 47% 33%
27 LI Caroline 3% 16% 33% 32% 14% 2%
28 HANKINS Morgan - - 2% 12% 32% 38% 15%
29 SU Evelyn 2% 17% 35% 31% 13% 3% -
30 HABEK Sophia - 1% 7% 26% 38% 24% 5%
31 RICHARDSON Meredith - 1% 10% 30% 37% 19% 3%
32 CAMAMA Tessa - 1% 8% 26% 38% 23% 4%
33 SEREGIN Katya - - - 4% 18% 42% 35%
34 ADYANTHAYA Anika - 2% 12% 30% 34% 18% 3%
35 LEE Claire - - 2% 13% 36% 38% 10%
36 LISCUM Vivian - - 3% 15% 34% 35% 12%
37 WANG Ziqi (yoyo) - - 1% 5% 22% 43% 29%
38 FERREIRA DE MELO Adriana - - 4% 17% 36% 33% 10%
38 SHAYAKHMETOVA Suzanna 1% 7% 26% 37% 23% 6% 1%
40 CAMPBELL Eva - - 2% 14% 33% 36% 14%
41 LI Fei - - 5% 19% 37% 31% 8%
42 LEE Camilla 1% 6% 21% 34% 27% 10% 1%
43 TOLSMA Chloe (CJ) - - 1% 11% 38% 50%
43 YANG Alisa - - - 6% 38% 55%
45 XU Sunia (Tai Yang) - 3% 16% 37% 34% 9%
46 LEE Natasha - - 1% 7% 25% 41% 26%
47 OLELE Ifechi - 4% 18% 34% 30% 12% 2%
48 KUDRYAVTSEVA Margarita 1% 10% 26% 33% 21% 7% 1%
49 FARLAM Reya - 2% 11% 29% 35% 19% 4%
50 BUSH emma - 3% 13% 30% 34% 18% 3%
51 HERNASA Anna 1% 6% 23% 36% 25% 8% 1%
52 BRAGG Leah - 4% 17% 35% 31% 11% 1%
53 YILMAZ Pinar - 1% 5% 21% 37% 29% 8%
54 WANG Sophie Y. 1% 7% 25% 35% 24% 8% 1%
55 LEE Lavender - 5% 21% 39% 28% 6%
56 SPRINGER Sierra - - - 3% 19% 48% 30%
56 SHEFFIELD Skye - 13% 34% 34% 15% 3% -
58 GOH Cayla - 2% 12% 30% 36% 18% 2%
59 FENG Ge (Catherine) - - 3% 14% 33% 36% 14%
60 LEE Gloria Y. - 1% 12% 35% 38% 13% 1%
61 MENG YIFAN - 1% 8% 26% 38% 22% 4%
62 WU Jessica - 6% 24% 39% 26% 4%
63 HOLDEN Helena - 4% 19% 37% 31% 9% 1%
64 PILSON Rebecca - 6% 23% 37% 26% 7% 1%
65 QI Julieanne - 1% 5% 20% 38% 31% 5%
66 MAI Mailan - 3% 17% 41% 31% 8% 1%
67 ELSTON Sophie - 1% 7% 24% 37% 25% 6%
68 LEE Olivia - 2% 12% 29% 35% 19% 4%
69 XU Jessica 1% 9% 29% 38% 20% 4% -
70 XIAO Nancy - - 4% 19% 37% 31% 8%
71 CHERNIS Liah - 1% 10% 29% 37% 19% 4%
71 SALISTRA Emilia - 2% 14% 32% 33% 16% 3%
73 MARTINEZ Christina - 6% 23% 35% 25% 8% 1%
74 HAUSHEER Kuncen 3% 15% 32% 33% 15% 2%
75 BECKMAN Ana - - 2% 13% 34% 37% 14%
76 BEATIE Isabella M. 4% 19% 34% 29% 12% 2% -
77 WANG Cecilia 2% 13% 31% 33% 17% 3% -
78 XIONG Angelica - - 5% 20% 37% 29% 8%
79 MA Sophie - 5% 20% 35% 29% 11% 1%
80 CHEN Ava 3% 24% 39% 26% 8% 1% -
81 WU Michelle - 1% 4% 16% 33% 33% 12%
82 GIERAT-KATZ Izabella 5% 24% 40% 24% 6% 1% -
83 FLITMAN Gabrielle 1% 21% 39% 28% 10% 2% -
84 SCHMITT Harper 4% 20% 35% 29% 11% 2%
85 ARULKUMAR Lashia 20% 41% 28% 9% 1% - -
86 LEE Yeriel 4% 22% 39% 27% 8% 1%
87 SUN Karolyn 5% 25% 40% 24% 4% -
88 JEYOON Lauren 6% 24% 37% 24% 8% 1% -
89 XU Serena - 1% 9% 27% 36% 22% 5%
90 FURMAN Maria - 2% 11% 29% 35% 19% 4%
91 DHAIYA Tanya - 1% 11% 32% 37% 16% 2%
91 KONG Mila W. 4% 22% 38% 26% 8% 1% -
93 AZMEH nour - 1% 6% 24% 38% 25% 6%
94 SMUK Alexandra S. - - 2% 12% 30% 38% 18%
95 SHEIKH PAREE 17% 45% 29% 8% 1% - -
96 KOVALCHUK Erika S. 1% 12% 33% 34% 15% 3% -
97 MCQUEEN Morgan 1% 19% 39% 29% 10% 1% -
97 WONG Sydney 3% 28% 41% 22% 5% 1% -
97 WALTER Anna - 4% 19% 35% 30% 11% 1%
100 ZHU Serene M. - 3% 18% 35% 30% 12% 2%
100 KAUR Manroop 1% 6% 21% 36% 27% 9% 1%
102 CHI Zoe 1% 9% 27% 35% 22% 5% -
103 LEE Emily 2% 12% 31% 35% 17% 4% -
104 ZHAN Clare 3% 23% 43% 25% 5% - -
105 ZHUANG Lauren 4% 19% 33% 29% 13% 3% -
106 STERR Isabella M. - - 5% 22% 38% 27% 7%
107 LIN Isabel 2% 13% 31% 33% 17% 3% -
108 DESANTIS-IBANEZ Elena 1% 7% 25% 36% 24% 7% 1%
108 BOROTKO Katerina 5% 23% 36% 26% 9% 1% -
110 BURT Emmalyne Grace 1% 13% 33% 35% 15% 3% -
111 WEI Sherry 2% 16% 34% 32% 14% 3% -
112 MEMON Insha 9% 32% 39% 18% 2% -
113 XU Emily (Hua) 39% 42% 16% 3% - -
114 PRESMAN Aerin 1% 8% 27% 39% 22% 3%
115 PETROFF Eva 17% 40% 32% 10% 1% -
116 KOZLOWSKI Maya M. - - 3% 13% 32% 37% 15%
117 NING Miranda 1% 10% 30% 36% 19% 4% -
118 CARRIER Meredith - 1% 9% 26% 36% 23% 5%
119 WANG Jessie - 6% 24% 36% 25% 8% 1%
120 LAW Mila 3% 16% 32% 30% 15% 3% -
121 SUN Hanya - 5% 23% 38% 26% 7% 1%
122 MENDOZA zoie - 2% 14% 33% 34% 14% 2%
123 BALAKRISHNAN Trisha - 4% 18% 34% 30% 12% 2%
124 STERN Savannah 1% 12% 32% 35% 17% 3% -
125 WONG Caitlin 1% 6% 21% 35% 27% 10% 1%
126 YAO Melinda - - 2% 11% 30% 38% 19%
127 RADOV Una 24% 40% 26% 8% 1% - -
128 BISONO Valentina 3% 20% 38% 28% 10% 1% -
129 SMOTRITSKY Liat 7% 30% 38% 20% 4% -
130 KROTZ Gemma 2% 16% 34% 31% 14% 3% -
131 ANEZIOKORO Zahra - 4% 18% 37% 30% 9% 1%
132 MOLLINIER Angel 2% 15% 39% 32% 11% 2% -
133 CREMONA Viola Maria 7% 25% 36% 24% 8% 1%
133 FENG Iris 7% 32% 38% 19% 4% - -
135 ANDRUS Allie 17% 42% 30% 9% 1% - -
136 GANSER Nicole 2% 12% 32% 34% 16% 4% -
137 YOON Elsa 49% 41% 9% 1% - - -
138 LEVKOV Maita 13% 39% 33% 12% 2% - -
138 TELCI Arya 12% 44% 34% 9% 1% - -
140 KUPPUSAMY Mahaa 36% 44% 17% 3% - - -
141 HOAGLAND Sally 21% 42% 28% 8% 1% -
142 KROPP Anne (Charlie) 8% 30% 38% 20% 4% -
143 SHETH Anayaà 28% 43% 23% 5% - -
143 GAN Shelby 6% 27% 40% 23% 4% -
145 OUYANG Kaichang 10% 30% 35% 19% 5% -
146 VENKATESAN Harshitha 1% 28% 41% 24% 7% 1% -
147 IYER Ishana 5% 22% 35% 26% 10% 2% -
148 LAI Amanda - 4% 17% 34% 31% 12% 2%
148 COMBS Hannah 58% 34% 8% 1% - - -
150 MENG Fina 7% 29% 38% 21% 5% 1% -
151 SUICO Kyubi Emmanuelle 1% 12% 34% 34% 15% 3% -
152 KANASKAR Ila 1% 6% 24% 37% 25% 7% 1%
153 LI Xier 21% 43% 27% 8% 1% - -
154 NOVOJILOV Anastasia 1% 9% 25% 34% 23% 7% 1%
154 KELSEY Fabienne 45% 40% 13% 2% - - -
156 JU Jennifer 17% 46% 29% 7% 1% - -
157 KWON Claire 36% 44% 18% 3% - - -
157 DALCOURT Luvia 9% 30% 36% 19% 5% 1% -
159 LIU Lillian 59% 33% 7% 1% - - -
160 RICHARDS Axelle 10% 32% 36% 18% 4% - -
161 KIM Vivian 9% 35% 37% 16% 3% - -
161 IVANOV Angela-Sophie 25% 41% 26% 8% 1% - -
163 BOROWSKI Olivia 26% 43% 24% 6% 1% - -
164 ASHFORD Marguerite 55% 37% 7% - - - -
165 BENAVIDES Samantha 24% 43% 25% 6% 1% - -
166 SHIN Jamie 32% 44% 20% 4% - - -
167 SILVA Hailey 53% 37% 9% 1% - - -
168 DENIS Méliane 23% 40% 27% 9% 1% - -
169 REYES Camila 44% 42% 12% 2% - - -
170 NOLAN Sophia 37% 43% 17% 3% - - -
171 BECKMAN Amaya 14% 40% 33% 11% 2% - -
172 MORET Teagan 90% 9% - - - - -
173 FOMINA Polina 24% 41% 26% 8% 1% - -
174 BLAKEY Heaven 6% 24% 36% 25% 8% 1% -
174 GARCIA Aly 19% 42% 29% 8% 1% - -
176 ZHU Danielle Missing ID
177 SUNMAN Rory 67% 28% 5% - - - -
178 POZAS Vida 75% 23% 2% - - - -
179 CABRERA QUINTANA Lucrecia 97% 3% - - - - -

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.