The future of US Fencing is at stake!

For transparency, fairness, and athlete support, VOTE NOW for:
(1) Maria Panyi, (2) Andrey Geva, (3) Igor Chirashnya, and (4) Sue Moheb.

November NAC

Y-14 Women's Foil

Saturday, November 11, 2023 at 2:00 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 DOROSHKEVICH Taisiia - - - 2% 15% 45% 39%
2 CALISE Ella - - - 1% 7% 34% 58%
3 WANG Joanna - 1% 8% 25% 37% 24% 5%
3 WANG YiXi - - - 1% 7% 35% 58%
5 LIU Joy Zhaoyi - - - - 1% 22% 77%
6 DAI Zizhuo (Zizi) - - - 3% 18% 43% 36%
7 LAI Sophia - - - 4% 24% 48% 23%
8 YANG Emma - - 1% 8% 29% 41% 20%
9 LENK Sophie - 1% 7% 27% 43% 23%
10 ZHANG Soleil C. - - 2% 14% 36% 37% 11%
11 LI Han (Helina) - 2% 12% 33% 37% 15% 2%
12 CHO Emily (Euran) - - - 2% 12% 39% 47%
13 SHEN Emilia - - - 2% 14% 39% 45%
14 HAO Danica - 1% 7% 27% 38% 22% 5%
15 WYNN Kylie - 2% 13% 33% 35% 15% 2%
16 YURKOVA Mariia - - 1% 9% 32% 49% 9%
17 SAIFEE Lamya - - 2% 13% 34% 37% 14%
18 MARISI Gianna - - 1% 7% 30% 48% 14%
18 WANG SIQI - - 1% 10% 34% 41% 14%
20 GUO Audrey 1% 12% 33% 36% 15% 2% -
21 SHIM Grace J. - - - 3% 18% 43% 35%
22 WANG CAROL - - 3% 16% 40% 33% 8%
23 DENG Melissa - - 1% 10% 32% 42% 14%
24 KIM Rachel - - 1% 11% 40% 48%
25 YAN Noelle - - 3% 17% 43% 37%
26 YU Jane - 1% 7% 27% 40% 22% 4%
27 DONG Angela - 2% 12% 33% 38% 15% 1%
28 GU Maggie Runlin - - - - 6% 35% 59%
29 MANIKTALA Prisha - - - 4% 19% 42% 34%
30 ZOU Ella - - 1% 11% 34% 40% 13%
31 LIU Enjia sherry - 1% 6% 24% 39% 25% 5%
32 LUO Miranda - 4% 19% 38% 31% 7% -
33 WANG Amabel - 2% 12% 30% 35% 18% 3%
34 SWANSON Alexa - - 1% 9% 33% 44% 12%
35 AYUPOVA AMELIYA - - 1% 9% 30% 42% 19%
36 CHEN Renee - - - 1% 8% 37% 54%
37 FENG Grace - - - 2% 12% 42% 45%
38 HSU Kaylin - - - 3% 17% 43% 37%
39 DAVIS Logan - - 4% 20% 37% 30% 9%
40 SHMUKLER Maria - 2% 14% 34% 34% 14% 2%
41 CHUN Adelle Ha-Eune - 1% 12% 39% 36% 11% 1%
42 HO Addison - - 2% 10% 33% 43% 12%
43 FETECAU Ilinca - - 5% 22% 39% 28% 7%
44 PEVZNER Nicole - 1% 9% 32% 44% 14%
45 MCSHERRY Ava - - - 3% 18% 44% 35%
46 HU Jenna - - 2% 13% 34% 38% 13%
47 OH Ceana - - 4% 21% 38% 28% 7%
48 LIU Samantha 1% 18% 40% 30% 9% 1% -
49 REN Kayley - 1% 7% 26% 39% 24% 3%
50 ZHANG Ivy - 1% 10% 30% 38% 19% 3%
51 JOO Natalie - 1% 8% 28% 42% 22%
52 DUAN Sophie - 2% 15% 37% 36% 10%
53 BAE Yooju 1% 9% 30% 40% 17% 2%
54 CAO Kayla 3% 20% 39% 29% 8% 1%
55 IQBAL Mariam 3% 18% 36% 31% 11% 1% -
55 FIELD Elizabeth - 1% 6% 23% 39% 27% 5%
57 YUEN Elsie 1% 12% 33% 36% 16% 2% -
58 TANG Melody Fujiao - 5% 21% 36% 27% 9% 1%
59 WANG Sophia 1% 12% 33% 36% 16% 2% -
60 PARK Lina - - 3% 17% 36% 33% 11%
61 GUAN Adeline - 2% 13% 31% 35% 17% 2%
62 BERGEL Daphne 3% 18% 36% 31% 12% 2% -
63 SHTEPA Rada 19% 41% 30% 9% 1% - -
64 FENG Audrey 2% 14% 35% 33% 14% 2% -
65 ZELDIN Nadia - 4% 19% 37% 30% 10% 1%
66 LI Alice 2% 15% 39% 32% 10% 1%
67 XIE Lillian - - 7% 28% 38% 22% 5%
68 MONAT Jennifer 11% 38% 39% 11% 1% - -
69 YONG Rosalind - 6% 29% 39% 21% 5% -
70 LEE Jeemin 1% 10% 30% 38% 18% 3%
71 PAULUS Sloane E. - - 2% 13% 34% 37% 14%
72 PENG Charlotte - 6% 27% 40% 22% 5% -
72 TAO Ann 1% 7% 25% 37% 24% 6% 1%
72 CUI alivia 1% 7% 25% 38% 24% 6% 1%
75 ZAMLYNNY Maya 4% 25% 41% 23% 6% 1% -
75 LI Joy - 6% 25% 39% 24% 6% -
77 TAN Shouyin 12% 38% 34% 13% 2% - -
78 CHERNYKH Elina - 8% 39% 37% 14% 2% -
79 BORGES Valeryn - 1% 10% 28% 36% 21% 4%
80 EYER Brooke 14% 37% 33% 13% 2% - -
80 WANG Melissa - 2% 12% 31% 36% 17% 2%
82 KIM Sydney - 7% 29% 41% 19% 3% -
83 CHOI JULIE 2% 16% 36% 33% 12% 1% -
84 AADHI Hansika - 5% 23% 39% 26% 6% -
85 PARK Zena - 3% 20% 41% 29% 6%
86 HAN Gian 10% 34% 38% 16% 2% -
87 ORBÉ-AUSTIN Maya 35% 46% 17% 3% - -
88 ALKADI Mai 15% 39% 33% 11% 1% -
89 PEDERSEN Haley 17% 43% 30% 9% 1% - -
90 WANG Emma 9% 38% 37% 13% 2% - -
91 ZOLDAN Gweniveve A. 1% 9% 28% 36% 21% 5% -
92 WU Nicole Moxuan 1% 12% 33% 36% 16% 2% -
93 YANG Audrey - - 3% 15% 35% 35% 13%
94 HAFEZ Tahiyah - 1% 7% 32% 42% 17% 2%
95 DESAI Esha 2% 14% 33% 34% 15% 2% -
96 KRYLTSOVA Eva 4% 32% 41% 19% 4% - -
97 LI Xiang (Shining) 7% 33% 38% 18% 4% - -
98 WU Chingfei Amber 2% 17% 39% 31% 10% 1% -
99 DENG Claire 5% 38% 41% 15% 2% - -
100 TSIMIKLIS Aphrodite - 4% 20% 36% 29% 10% 1%
101 ORBE-AUSTIN Nia 53% 36% 9% 1% - - -
102 MIRZA Sophia 4% 21% 39% 27% 8% 1% -
102 CHOI Sophie 30% 43% 21% 5% 1% - -
102 POEI Lauren 1% 9% 29% 38% 19% 3% -
102 LIU Jingyi (Eva) 1% 7% 24% 37% 25% 6% -
106 ANDONIAN Lauren 8% 29% 38% 20% 5% - -
107 LING Camryn 42% 41% 14% 2% - -
108 KATS Ekaterina 26% 44% 24% 6% 1% - -
109 ZHANG Gwenyth 2% 20% 43% 29% 7% 1% -
110 WANG DINA C. 4% 22% 39% 26% 8% 1% -
111 SHIN Jaelynn 15% 51% 27% 6% 1% - -
111 LI Azalea 5% 25% 36% 24% 8% 1% -
113 VANMOORSEL Faye 2% 16% 37% 32% 11% 1% -
114 OLSHANSKY Dalia 38% 43% 17% 3% - - -
115 DESERANNO Seren 1% 12% 33% 36% 16% 2% -
116 NIRGUDE Esha 17% 40% 31% 10% 1% - -
117 GOITIA Genevieve 42% 41% 14% 2% - - -
117 LAI Miranda 15% 43% 32% 9% 1% - -
119 BING Charlotte 2% 14% 33% 32% 15% 3% -
120 MA Emily(Yiming) 36% 46% 17% 2% - - -
120 ALVAREZ Isabella 51% 38% 9% 1% - - -
120 SAH Madeleine 44% 42% 12% 2% - - -
123 ZHANG Zoey 22% 58% 18% 2% - - -
124 RIVERA Leahy 34% 44% 19% 3% - - -
124 GE Lena Lan 16% 44% 32% 7% - - -
126 HOROWITZ Shuli 13% 39% 34% 12% 2% - -
127 FRASER Morgan 8% 34% 38% 17% 3% -
128 CHEN Sophie 22% 43% 28% 7% 1% -
129 HUGHES Olivia 25% 47% 23% 5% - -
130 CANO Sofia 63% 31% 6% - - - -
131 WAN Celine 61% 34% 5% - - - -
132 TAN Isabella 23% 44% 26% 6% 1% - -
133 SINGH Evangelina 45% 39% 13% 2% - - -
134 CHU Felicity 63% 34% 3% - - - -
135 ROUSH Rowynn 75% 23% 2% - - - -
135 GRIMM Parker 37% 43% 17% 3% - - -
137 MITCHELL Macy 74% 24% 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.