November NAC

Y-14 Women's Épée

Friday, November 14, 2025 at 1:30 PM

Fort Worth Convention Center - Fort Worth, TX, 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 - - - 1% 11% 39% 49%
2 HABEK Sophia - - - - 4% 27% 69%
3 QI Julieanne - - - 1% 11% 39% 49%
3 ANEZIOKORO Zahra - 5% 19% 35% 31% 10%
5 WU Michelle - - - 6% 34% 60%
6 XU Yvette - - - - 7% 38% 55%
7 ADYANTHAYA Anika - - - 2% 11% 38% 49%
8 XU Sunia (Tai Yang) - - - 2% 13% 40% 45%
9 HOWARD Katherine 3% 24% 42% 25% 5% < 1%
10 FU Shannon - - 4% 18% 36% 32% 10%
11 SONG Sunny - - - 4% 23% 48% 25%
12 SUN Milly 2% 14% 34% 33% 15% 3% -
13 LEE Gloria Y. - - 1% 9% 37% 53%
14 FRANGER Macy - - - - 7% 36% 57%
15 DOBROSAVLJEVIĆ Kalina - - - 8% 36% 45% 11%
16 DYMAR Anna - - 4% 19% 39% 31% 7%
17 MA Sophie - - - 5% 30% 49% 15%
18 TAM Connie - 3% 18% 40% 33% 7%
19 WU Jessica - - - 2% 14% 41% 42%
20 PEI Claire - 1% 9% 27% 37% 21% 3%
21 WANG Chloe - - 1% 6% 23% 42% 29%
22 ABUELFUTUH Sama - - - 3% 17% 45% 35%
23 WANG Nicole - 4% 19% 35% 30% 10% 1%
24 CHEN Madeline - 2% 10% 28% 37% 20% 3%
25 MOHAN Riya - - 2% 14% 36% 37% 11%
26 NEELAM Navya - - - 1% 10% 38% 52%
27 CHERNIS Liah - - 2% 16% 46% 35%
28 CHI Zoe - - 4% 22% 47% 27%
29 HOLDEN Helena - 1% 5% 23% 43% 28%
30 OLELE Ifechi - - 2% 13% 33% 37% 15%
31 BURROWS Beatrice - 7% 28% 41% 21% 3%
32 ANDRUS Allie 1% 11% 31% 35% 19% 4% -
33 WONG Sydney - - 4% 18% 36% 31% 9%
34 TISMENSKY Abigail - - 1% 9% 28% 40% 21%
35 DESANTIS-IBANEZ Elena - - 3% 15% 36% 36% 9%
36 XU Jessica - - - 5% 27% 45% 22%
37 DHAIYA Tanya - - - 3% 21% 46% 30%
38 ZHAO Isabel - - 2% 12% 33% 38% 15%
39 WANG Olivia - 4% 19% 38% 29% 9% 1%
40 YOUN Kylie - 1% 8% 28% 39% 21% 3%
41 RAMEY Alexa - 1% 9% 28% 38% 21% 3%
42 MERRIMAN Rie - 2% 10% 28% 39% 21%
43 KROPP Anne (Charlie) - - 1% 8% 26% 41% 25%
44 ARULKUMAR Lashia - 2% 13% 31% 34% 17% 3%
45 KANE Alexa - 2% 13% 30% 34% 17% 3%
46 NING Miranda - - 2% 16% 45% 32% 5%
47 YIP Allison - 4% 24% 47% 21% 3% -
48 MOKRETSOV Leah - 3% 16% 33% 32% 14% 2%
49 LAW Mila - 3% 17% 34% 32% 12% 1%
50 WANG Chantal - - 3% 16% 34% 34% 12%
51 YU Chloe 1% 9% 27% 36% 22% 6% 1%
52 XIONG Alice - 5% 21% 36% 28% 9% 1%
53 LIU Chloe 8% 27% 36% 23% 7% 1%
54 ZHONG Evelyn 1% 5% 20% 34% 28% 10% 1%
55 BURKS Madison - 1% 11% 34% 38% 14% 2%
56 FISCHBEIN Quinley - - 3% 21% 47% 25% 3%
57 LEE Eden - 3% 18% 40% 30% 8% 1%
58 SUN Joanna 4% 23% 40% 26% 7% 1% -
59 XU Amy(Chenyu) - 1% 8% 26% 38% 23% 4%
60 SHI Elle 1% 21% 39% 28% 10% 2% -
61 LEE Adelynn - 5% 21% 37% 28% 9% 1%
62 ZHENG Kristen 5% 27% 38% 22% 6% 1% -
63 YIN Angelina 1% 14% 34% 33% 15% 3% -
64 RASHID Summer - 7% 27% 38% 21% 5% -
65 TALANDZEVICIUS Sophia - - 1% 7% 24% 41% 27%
66 YOUNG Nicole - 4% 17% 35% 31% 11% 1%
67 OLSON Olivia 9% 30% 35% 19% 5% 1% -
68 BOROTKO Katerina - 1% 8% 25% 36% 24% 6%
69 HU Avery 14% 39% 34% 11% 1% < 1% -
70 VOSKOV Olivia - 2% 12% 33% 39% 15%
71 JU Jennifer 9% 29% 36% 20% 5% 1%
72 XU Aasta - 5% 25% 38% 24% 6% 1%
73 CHEN Julia Z. 1% 7% 25% 36% 23% 7% 1%
74 KLAUSZ Izabella - 4% 20% 37% 29% 9% 1%
75 WANG Yvonne 10% 32% 36% 18% 4% - -
76 HERNASA Anna - 2% 10% 28% 39% 21%
77 NGUYEN Renee - 2% 15% 43% 34% 6%
78 CHEN Stephanie 10% 33% 37% 17% 3% -
79 ZAYKO Aveline - 1% 13% 41% 38% 7%
80 LI Alice 1% 7% 23% 36% 26% 7%
81 BOWDEN Lily 9% 32% 38% 18% 3% -
82 RAJ Indra 8% 38% 37% 15% 3% - -
83 ERISMAN Gabriella - 4% 21% 37% 28% 8% 1%
84 HUFF Elizabeth 9% 32% 36% 18% 4% - -
85 CHO Anya 1% 11% 32% 36% 17% 3% -
86 LI Nicole 5% 29% 42% 21% 4% -
87 YAN Ximei (Alicia) 1% 6% 23% 36% 26% 8% 1%
87 PETROFF Eva - 1% 7% 21% 35% 28% 8%
87 ROMANOV Mia 22% 46% 26% 5% - - -
90 MIAO Anthea 18% 39% 30% 10% 2% - -
91 WANG Kercedes Ye 25% 50% 21% 3% - - -
92 LI Anna 7% 25% 36% 24% 8% 1%
93 KONG Mila W. 5% 22% 35% 26% 9% 1%
94 LI Allison 7% 33% 42% 16% 2% -
95 BURT Emmalyne Grace 1% 8% 26% 38% 22% 4%
96 CHO Jacey 1% 14% 38% 34% 11% 1%
97 GARCIA Sophia Noelle 11% 42% 36% 9% 1% -
98 YU Livia 9% 29% 35% 21% 6% 1%
99 FURMAN Elizabeth 1% 10% 32% 39% 15% 2% -
100 SUN Nicole - 4% 20% 37% 29% 9% 1%
101 TISMENSKY Avital - 2% 11% 29% 35% 19% 3%
102 HALE Reagan 1% 13% 37% 36% 11% 1%
103 EDGAR Koko - 9% 29% 36% 20% 5% -
104 WU Emma 17% 40% 31% 11% 2% - -
105 ZHANG Flora 8% 35% 42% 13% 1% - -
106 DEJOY Leilah 30% 44% 21% 4% - - -
106 WANG Lihong - 5% 20% 35% 28% 9% 1%
108 ALLIEVI Simone 2% 17% 43% 32% 7% - -
109 CAI Melody 1% 11% 32% 35% 17% 4% -
110 VEGA-BRANDT Gabriella 9% 30% 37% 20% 5% 1% -
110 MAENG Gloria 2% 15% 34% 32% 14% 3% -
112 DENEALE Lucia 1% 10% 29% 35% 19% 5% -
113 ARNOLD Evangeline 3% 22% 42% 26% 6% 1% -
114 SHEIKH PAREE - 3% 18% 37% 31% 10% 1%
114 CHALLAMEL Heloise 22% 42% 27% 8% 1% - -
116 LI Jasmine 1% 9% 34% 41% 14% 2% -
117 CHAN Faith Sum Yin 58% 34% 7% 1% - - -
118 KARTHIK Diya 8% 27% 36% 22% 6% 1%
119 YOUN Emily 1% 9% 28% 36% 20% 5% -
120 JORDAN Zoe - < 1% 3% 17% 42% 31% 7%
121 LEE Zoe 24% 44% 26% 6% - - -
122 VIJAY Vaishnavi 1% 7% 22% 34% 26% 9% 1%
123 GRUDZINSKI Josephine 15% 40% 33% 11% 2% - -
124 GIERAT-KATZ Izabella < 1% - 4% 17% 37% 33% 8%
125 YOON Claire 19% 42% 29% 9% 1% - -
126 MIXON Ivory 24% 42% 26% 7% 1% -
127 AGARWAL Keya 26% 43% 24% 6% 1% - -
128 BUZZINI Julia 36% 44% 17% 3% - - -
129 LEE Rebecca 12% 42% 36% 9% 1% - -
130 TISHKOVA-ROBERTS Daria 10% 34% 38% 16% 2% - -
131 LI Carlie 5% 36% 40% 16% 3% -
132 HUANG Selina 5% 22% 35% 27% 10% 1%
133 DESAI Ela 3% 16% 33% 32% 14% 2%
134 SRIKUMAR Nikita 72% 25% 3% - - -
135 SHEN Isabella 59% 34% 6% - - -
136 KRAVCHENKO Tatyana 39% 45% 14% 2% - - -
137 CHAKRAPANI Tara 12% 39% 34% 13% 2% - -
138 WEST Vivian 46% 41% 11% 1% - - -
138 ZENG Joy 25% 47% 23% 5% - - -
141 MIDDLETON Riley 38% 45% 16% 2% - - -
142 BRINDAVAN Vyahriti 36% 45% 17% 2% - - -
143 TUMULA Anima 74% 23% 3% - - - -
144 YADAGIRI Aditi 57% 34% 8% 1% - - -
145 ZHANG Joy 48% 40% 10% 1% - -
146 THOMAS Mackenzie 19% 41% 29% 9% 1% - -
146 XIE Angela 3% 25% 38% 25% 8% 1% -
148 LOO Samantha 46% 41% 12% 2% - - -
149 TURNER Reagan 94% 6% - - - - -

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.