October NAC

Cadet Women's Épée

Monday, October 6, 2025 at 8:00 AM

Salt Palace Convention Center - Salt Lake City, UT, 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 LEE Scarlett - - - 8% 38% 54%
2 LEE Laena - - 2% 11% 32% 39% 16%
3 PROFIS Liora - - - 1% 8% 34% 57%
3 HANKINS Morgan - - 2% 10% 30% 39% 19%
5 LEE REGINA - - - - 1% 15% 84%
6 CAMPBELL Eva - 1% 5% 22% 42% 30%
7 LISCUM Vivian - - 2% 12% 32% 39% 14%
8 LEE Claire - - 6% 34% 47% 13%
9 XU Yvette - - 2% 15% 41% 42%
10 JIANG Serena - 4% 18% 37% 32% 9%
11 KOZLOWSKI Maya M. - - 1% 6% 22% 42% 30%
12 SMUK Alexandra S. - - - 4% 20% 42% 33%
13 SHIV Avni - - - 3% 16% 42% 39%
14 WU Michelle - - 5% 25% 45% 24%
15 SEREGIN Katya - - 1% 8% 28% 42% 22%
16 LEE Gloria Y. - 3% 16% 35% 34% 12%
17 WANG Zoe - - - 1% 11% 38% 49%
18 YOUNG VIVIAN - - - 2% 13% 39% 45%
19 GUO Luxi - - 1% 5% 21% 42% 32%
21 WANG Ziqi (yoyo) - - 1% 8% 26% 41% 24%
22 GOH Cayla - - 4% 19% 39% 32% 6%
23 GANSER Nicole - 3% 15% 32% 33% 15% 2%
24 CARRIER Meredith - 4% 21% 43% 32%
25 ILYAS Ayah - 4% 20% 38% 30% 8%
26 OLELE Ifechi - 3% 17% 36% 32% 11% 1%
27 SCHMITT Harper - 1% 8% 25% 37% 25% 6%
28 XU Serena - 1% 7% 27% 39% 22% 4%
29 WONG Caitlin - 2% 10% 27% 36% 21% 4%
30 BEATIE Isabella M. 5% 24% 39% 26% 6%
31 MARTINEZ Christina - 2% 11% 30% 36% 19% 3%
32 SU Evelyn - 3% 17% 35% 32% 12% 1%
33 HONG Gaon - - 4% 17% 35% 33% 11%
34 YILMAZ Pinar - - 1% 6% 22% 42% 30%
35 ABUELFUTUH Sama - - 4% 19% 38% 31% 7%
36 RICHARDSON Meredith - 3% 14% 33% 36% 14%
37 CAFASSO Natalya - - - 1% 7% 34% 59%
38 TOLSMA Chloe (CJ) - - - 1% 8% 36% 55%
38 ADYANTHAYA Anika - 1% 8% 26% 37% 23% 5%
40 KUMAR Eva - - 4% 20% 39% 30% 6%
41 LEE Yeriel - 5% 22% 37% 27% 8% 1%
42 QI Julieanne - 1% 14% 46% 33% 6%
43 SOBUS Yanka - - - 4% 18% 43% 35%
44 LI Caroline - 2% 11% 29% 36% 19% 3%
45 CHERNIS Liah - 8% 28% 38% 21% 4%
46 LIN Isabel 1% 7% 25% 37% 24% 6% -
47 BURKS Madison 8% 29% 36% 21% 6% 1% -
48 YOUN Kylie 2% 27% 42% 23% 5% 1% -
49 PRESMAN Aerin - 4% 18% 36% 31% 10%
50 WU Jessica - 3% 14% 32% 33% 15% 2%
50 FLITMAN Gabrielle - 2% 15% 37% 34% 11% -
52 MOHAN Riya - 11% 36% 35% 14% 3% -
53 KUDRYAVTSEVA Margarita - 5% 19% 34% 29% 11% 1%
54 HERNASA Anna - 3% 13% 32% 35% 15% 2%
55 DHAIYA Tanya - - 7% 28% 41% 22% 1%
56 LAW Mila 28% 42% 23% 6% 1% -
57 WANG Jessie - 4% 17% 36% 34% 9%
58 SHEFFIELD Skye - 5% 22% 37% 27% 8% 1%
59 MERRIMAN Rie - 4% 24% 39% 26% 7% 1%
60 WATTANAKIT Anda - - 7% 25% 38% 24% 5%
61 SUN Zeyu (Cathy) - 1% 9% 32% 38% 18% 3%
62 WANG Sophie Y. - 1% 9% 27% 36% 22% 4%
63 IYER Ishana 2% 15% 34% 33% 14% 2%
64 BALAZS Luca - 2% 13% 33% 36% 15% 2%
65 CAMAMA Tessa - - 3% 15% 35% 35% 12%
66 FRANGER Macy - - 3% 20% 45% 31%
67 WANG Chloe 5% 25% 40% 25% 5%
68 STERR Isabella M. - 1% 8% 27% 41% 23%
69 GUAN Isabella - 5% 21% 37% 28% 9% 1%
70 XIAO Nancy - 4% 19% 36% 30% 9%
71 ZHAO Isabel - 8% 29% 38% 21% 4%
72 NOVOJILOV Anastasia 1% 7% 25% 37% 25% 6%
73 LEE Lavender - - 6% 25% 38% 25% 5%
74 NEELAM Navya - - 2% 14% 34% 36% 14%
75 LIN Ariel - 1% 6% 22% 39% 29% 5%
77 LEE Camilla - 6% 23% 38% 26% 6%
78 FERREIRA DE MELO Adriana - - 5% 21% 42% 31%
79 XU Sunia (Tai Yang) - 1% 9% 27% 38% 21% 4%
80 HOLDEN Helena - 3% 14% 31% 33% 16% 3%
81 DESANTIS-IBANEZ Elena 4% 22% 38% 27% 8% 1%
82 KALGAONKAR Arohi - 2% 12% 31% 35% 18% 3%
83 LOBANOVA Varvara 3% 23% 39% 27% 8% 1%
84 XU Amy(Chenyu) 2% 19% 51% 24% 3% -
85 VIOLETTE Lih-Ann 14% 42% 33% 9% 1% - -
86 MAI Mailan 1% 10% 30% 36% 19% 4%
87 CHI Zoe 2% 14% 34% 34% 15% 2%
88 YU Livia 19% 39% 30% 10% 1% -
89 FISCHBEIN Quinley 3% 16% 35% 33% 12% 1%
90 BALAKRISHNAN Trisha - 3% 16% 35% 34% 12%
91 YOUN Emily 29% 45% 21% 4% - - -
92 PEI Claire 2% 19% 37% 29% 11% 2% -
93 BRIDGE Rebekah - - 4% 19% 37% 30% 9%
94 FU Shannon - 4% 19% 35% 30% 11% 1%
95 KAUR Manroop - 1% 8% 26% 37% 23% 5%
96 MOLLINIER Angel - 3% 16% 33% 32% 13% 2%
96 GIERAT-KATZ Izabella 1% 9% 31% 36% 19% 4% -
98 NING Miranda - 3% 22% 40% 28% 7% -
99 KANG Yenna 1% 8% 24% 35% 25% 7% 1%
100 MEMON Insha 3% 20% 38% 28% 10% 1% -
101 GOLIYAD Lisa 5% 22% 36% 27% 9% 1% -
102 WANG Victoria - 2% 16% 36% 33% 13% 2%
103 MISHIMA Audrey - 1% 12% 33% 35% 16% 3%
104 LI Olivia - 1% 6% 21% 36% 29% 8%
105 MCQUEEN Morgan 1% 7% 26% 37% 23% 6% -
106 CHIOU-WILLIAMS Matea 13% 35% 33% 15% 3% - -
107 PETROFF Eva 1% 10% 27% 35% 21% 5% -
107 BURROWS Beatrice 9% 36% 36% 16% 3% - -
110 SUICO Kyubi Emmanuelle - 4% 16% 32% 31% 14% 2%
111 ZHUANG Lauren 2% 15% 34% 34% 14% 2%
112 JEYOON Lauren 3% 19% 37% 29% 10% 1% -
113 KENT Laurel 2% 17% 40% 31% 9% 1%
114 BEAVER Ava - 2% 13% 33% 37% 15%
115 SHAYAKHMETOVA Suzanna 2% 25% 41% 25% 7% 1%
116 TAM Connie 7% 27% 37% 22% 6% 1%
116 TCHERNYSHOV ANNA 5% 26% 38% 23% 6% 1%
118 BOROTKO Katerina 6% 35% 40% 16% 3% -
118 MENG YIFAN - 5% 20% 36% 30% 9%
120 WANG Ziqiao (Claire) 1% 10% 33% 39% 16% 2%
121 BLAKEY Heaven 9% 30% 36% 20% 5% -
122 KANASKAR Ila 1% 8% 27% 36% 22% 6% 1%
123 STERN Savannah 2% 11% 29% 34% 19% 5% -
124 SHETH Anayaà 31% 42% 22% 5% 1% - -
125 MA Sophie - 1% 10% 31% 38% 18% 2%
126 RADOV Una 14% 35% 33% 15% 3% - -
127 MAENG Gloria 15% 37% 33% 13% 2% - -
128 FENG Esther 13% 57% 26% 4% - - -
129 SCANLAN Alina Nev 23% 44% 25% 6% 1% - -
130 ROMANOV Mia 41% 48% 11% 1% - - -
131 IVANOV Angela-Sophie 36% 44% 17% 2% - - -
132 LEE Adelynn 17% 39% 31% 11% 2% - -
133 VOSKOV Olivia - 2% 16% 38% 33% 10% -
134 WANG Lihong 15% 36% 33% 13% 3% - -
135 THOMAS Mackenzie 69% 27% 4% - - - -
136 HAUSHEER Kuncen - 4% 18% 36% 32% 10%
137 YUNG Bethany 22% 42% 28% 8% 1%
138 XU Jessica - 6% 26% 39% 24% 5%
139 CHEN Ava 21% 40% 28% 9% 1% -
140 LEVKOV Maita 50% 38% 11% 1% - -
141 HUANG Selina 13% 36% 34% 14% 2% -
142 KROPP Anne (Charlie) 2% 14% 34% 34% 14% 2%
143 XU Emily (Hua) 5% 45% 37% 11% 2% - -
144 BI Michelle 9% 38% 36% 14% 2% - -
145 RASHID Summer 19% 40% 30% 10% 2% - -
145 HERD Angela 10% 31% 35% 19% 5% 1% -
147 YU Mandy 3% 17% 34% 30% 13% 3% -
148 GAN Shelby 1% 20% 41% 28% 8% 1% -
149 WHITELAW Shyann 8% 33% 38% 17% 3% - -
150 LI Jasmine 48% 39% 12% 2% - -
150 GARCIA Sophia Noelle 54% 37% 9% 1% - - -
150 ZHAN Clare 4% 21% 37% 27% 9% 1% -
150 SUN Joanna 35% 50% 13% 1% - -
154 KREMER Maria 74% 24% 2% - - - -
155 CHOWRIRA Reynah 46% 40% 12% 2% - - -
156 SUN Karolyn 1% 14% 35% 34% 14% 2% -
157 NGUYEN Ella 9% 32% 38% 18% 3%
158 MYRAH Vivienne 1% 8% 25% 35% 23% 7% 1%
159 PHUKAN Indra < 1% 1% 8% 25% 38% 24% 3%
160 FENG Iris 9% 31% 36% 19% 5% 1% -
161 CHEN Dian 83% 16% 1% - - -
162 WANG Chantal 4% 22% 37% 28% 8% 1%
163 CHAN Macie 21% 41% 28% 9% 1% - -
164 TISHKOVA-ROBERTS Daria 66% 29% 4% - - -
165 MENG Fina 7% 39% 37% 14% 3% - -
167 PAK Ella 82% 17% 1% - - - -
168 ZHANG Flora 37% 50% 12% 1% - - -
169 BURT Emmalyne Grace 7% 30% 40% 19% 4% - -
170 KUTSY Olga 15% 39% 32% 12% 2% -
171 MONESTERE Gianna 50% 38% 10% 1% - - -
172 STEPHAN Ella Whitney 41% 48% 11% 1% - -
173 GRUDZINSKI Josephine 59% 33% 7% 1% - - -
174 HILL Amelia 61% 32% 6% 1% - -
175 BEATINGO Chelli 83% 16% 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.