AFM Super Regional SYC/RJCC/ROC Div1A/Vet

Y-14 Women's Épée

Sunday, November 2, 2025 at 8:00 AM

Santa Clara Convention Center - Santa Clara, CA, 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 XU Serena - - - - 2% 22% 76%
2 DYMAR Anna - - 2% 14% 42% 42%
3 WU Jessica - - - - 4% 29% 67%
3 LI Yixin - - 1% 11% 42% 46%
5 CHEN Stephanie - - 3% 17% 38% 34% 7%
6 FISCHBEIN Quinley - - - 1% 7% 35% 57%
7 MOHAN Riya - - - 1% 9% 37% 54%
8 LI Ariel - 1% 6% 22% 38% 27% 5%
9 XU Jessica - - - 2% 19% 54% 24%
10 CHI Zoe - - - - 4% 28% 68%
11 YOUN Kylie - - - 3% 18% 43% 36%
12 RASHID Summer - - 2% 15% 39% 36% 6%
13 BURKS Madison - - 1% 9% 31% 41% 18%
14 XIONG Alice - 6% 23% 37% 27% 7%
15 XU Amy(Chenyu) - - - 2% 15% 42% 41%
16 ZHAO Isabel - - 4% 24% 51% 21%
17 ANDRUS Allie - 1% 7% 23% 38% 26% 5%
18 NGUYEN Renee - - 1% 5% 21% 42% 31%
19 FU Shannon - - - 1% 11% 41% 47%
20 HUANG Jui-An 3% 18% 37% 30% 10% 1% < 1%
21 MERRIMAN Rie - - - - 4% 28% 68%
22 ERISMAN Gabriella - - 2% 13% 35% 38% 11%
23 YOUNG Nicole - - 2% 11% 31% 38% 17%
24 LEE Kaitlyn - - 2% 11% 30% 39% 18%
25 ZHAO Ellie - 3% 15% 32% 33% 15% 2%
26 WANG Nicole - 3% 17% 36% 33% 11%
27 YIP Allison - - 4% 20% 39% 30% 7%
28 ZHAO Emma - - 2% 15% 41% 34% 7%
28 FENG Esther - - 5% 20% 40% 30% 4%
30 XU Aasta - 3% 19% 40% 31% 7%
31 KUSHNERENKO Maiia 14% 36% 33% 14% 3% - -
32 HU Avery 1% 11% 30% 35% 18% 4% -
33 SUN Karolyn - - 1% 5% 22% 42% 30%
34 MANDAP Alessandra - - 1% 9% 32% 41% 17%
35 GIERAT-KATZ Izabella - - - 1% 9% 36% 54%
36 WANG Lihong - - 2% 14% 37% 41% 6%
37 VIJAY Vaishnavi 1% 14% 39% 35% 10% 1%
38 ARULKUMAR Lashia - 2% 13% 33% 37% 15%
39 DAI Sophie 1% 13% 38% 35% 12% 1% -
40 YU Chloe - 1% 7% 23% 36% 26% 7%
41 LI Allison - 2% 11% 31% 38% 16% 1%
42 BUDMAN Ava - - 4% 15% 33% 34% 14%
42 ARNOLD Evangeline - 1% 9% 30% 40% 18% 2%
44 LYNTON Alexandra 1% 9% 29% 38% 20% 4% -
45 SIDHU Myra 2% 14% 38% 36% 10% 1% -
46 CHO Jacey - 1% 6% 20% 35% 29% 9%
47 CHO Anya - 2% 10% 26% 36% 22% 4%
48 SHEN Isabella 10% 35% 37% 16% 3% - -
49 RAPTIS Layla 1% 9% 28% 36% 21% 5% -
50 KOU Cynthia 2% 22% 43% 28% 5% -
51 DU Chloe - 1% 7% 24% 39% 26% 3%
52 PAN Zoe 2% 13% 30% 33% 18% 5% -
53 SUN Joanna - 5% 20% 37% 29% 8% -
54 RAJ Indra - 1% 9% 28% 39% 20% 3%
55 LI Anna - - 3% 15% 35% 35% 11%
56 MIXON Ivory - 2% 11% 31% 37% 17% 2%
57 TISHKOVA-ROBERTS Daria 2% 16% 37% 33% 11% 2% -
58 MIAO Anthea 4% 19% 35% 30% 12% 2% -
59 KOHLER Chrissy 5% 22% 37% 27% 9% 1% -
60 XIE Zhiran (Celine) 36% 46% 16% 2% - -
61 SUN Milly - 1% 8% 29% 41% 19% 2%
62 MUKKU Emily 2% 17% 36% 31% 11% 2% -
63 VISHWA Nishta 36% 42% 18% 3% - - -
64 WANG Kercedes Ye 17% 38% 31% 12% 2% - -
65 LI Carlie - 1% 7% 27% 39% 22% 4%
66 KARTHIK Diya - - 1% 10% 37% 44% 8%
67 WANG Yvonne - 4% 19% 36% 30% 10% 1%
68 REN Ivanka 12% 34% 35% 15% 3% - -
69 YANG Emma 3% 21% 38% 28% 9% 1% -
70 SINGLETARY Iona 2% 19% 40% 30% 8% 1% -
71 LU Chloe - 5% 20% 35% 28% 10% 1%
72 GARCIA Sophia Noelle 1% 13% 39% 34% 11% 1%
73 SUNG Audrey - 2% 17% 40% 33% 8%
74 LIAO irene - - 1% 11% 34% 39% 15%
75 CHEN Julia Z. - 2% 9% 27% 37% 21% 4%
76 HILL Aurora 3% 16% 32% 31% 14% 3% -
77 HOODA Devanshi 27% 43% 24% 6% 1% - -
78 LEE Adelynn - - 1% 10% 37% 41% 11%
79 LU Chu 15% 37% 33% 13% 2% - -
80 PARKE Jaime 9% 29% 36% 21% 6% 1% -
81 PARK Rachel 4% 24% 41% 25% 5% - -
82 LYNTON Olivia - 7% 28% 40% 21% 4% -
83 SHIN Nayun 1% 7% 25% 37% 23% 6% 1%
84 BERESTOVITSKY Eva 2% 18% 39% 31% 9% 1% -
85 STERNAD Pia - - 3% 21% 43% 27% 5%
86 LEE Rebecca 4% 27% 41% 23% 5% - -
87 DEJOY Leilah 7% 26% 36% 23% 7% 1% -
88 ZU Jacqueline - 5% 19% 34% 29% 11% 2%
89 DENEALE Lucia - - 4% 19% 39% 31% 7%
90 DU Chelsea 1% 7% 23% 36% 26% 8% 1%
90 WANANDI Miyuko 9% 30% 35% 20% 5% 1% -
92 ZHANG Joy 13% 34% 34% 16% 4% - -
93 LI zoey 9% 35% 36% 16% 3% - -
94 LI Katherine 2% 13% 34% 34% 15% 2% -
95 BRINDAVAN Vyahriti 5% 23% 36% 26% 9% 1% -
96 YOON Claire 2% 14% 33% 33% 14% 2% -
96 YANG Arianna 6% 25% 36% 24% 8% 1% -
96 LI Mia 1% 12% 36% 35% 13% 2% -
99 ZHU Anna 5% 38% 40% 15% 2% - -
100 STEPHAN Antje Elisa 44% 40% 14% 2% - -
100 TRUONG Chloe 64% 31% 5% - - -
102 ZHAO Yanning 1% 12% 33% 35% 16% 3%
102 FLYNN Kensington 8% 32% 37% 18% 4% -
104 LOO Samantha 9% 38% 37% 13% 2% - -
105 KAMNEVA Anfisa 7% 30% 39% 20% 4% - -
106 MAENG Gloria 1% 6% 22% 37% 27% 7% 1%
107 KAYMAN June 2% 13% 34% 34% 15% 3% -
108 YANG Nina - 7% 25% 37% 24% 6% -
109 LIU Emma 22% 40% 28% 9% 1% - -
109 LI Celine 43% 41% 14% 2% - - -
111 KEDAN Carmella 47% 39% 12% 2% - - -
112 ZHANG Carina 1% 11% 31% 35% 17% 3% -
113 REN Harper 9% 29% 36% 20% 5% 1% -
114 OAKES Delaney 45% 40% 13% 2% - - -
115 AGARWAL Keya 9% 29% 35% 21% 6% 1% -
116 WARBURTON Eleanor 20% 46% 27% 6% 1% - -
117 SMIRNOVA Evangelina 36% 44% 17% 3% - - -
118 YADAGIRI Aditi 10% 37% 36% 14% 2% - -
119 ALI Maryum 8% 30% 37% 20% 5% - -
119 WANG Grace 12% 32% 33% 17% 5% 1% -
121 OLSON Olivia 5% 32% 42% 19% 3% -
122 TAN Elliana 23% 41% 27% 8% 1% - -
123 TOYOFUKU Evelyn 45% 41% 13% 1% - - -
124 LUCAS Cynthia 3% 18% 37% 30% 11% 2% -
125 PAK Ella 13% 35% 34% 15% 3% - -
126 MILLER Grey 28% 48% 20% 3% - -
127 MARTYNOVA Veronica 62% 32% 6% - - - -
128 DUKHOVNY Shifra 40% 42% 15% 2% - - -
129 CHEN Catherine 1% 7% 26% 38% 22% 5% -
130 GUO Cecilia 76% 22% 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.