USA Fencing National Championships & July Challenge

Y-12 Women's Foil

Sunday, July 10, 2022 at 8:00 AM

Minneapolis, MN, 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 AMR HOSSNY Sara - - - - 1% 13% 86%
2 FEDELI Caterina S. - - - - 5% 95%
3 CALISE Ella - - - 3% 16% 40% 41%
3 KIM Rachel - - - - 2% 21% 76%
5 MCSHERRY Ava - - - 2% 14% 46% 39%
6 GOOR Viviene E. - - - - 2% 20% 78%
7 CHEN Renee - - - - 4% 29% 67%
8 YANG Iris - - - - 3% 24% 73%
9 DOROSHKEVICH Taisiia - - - - 2% 24% 73%
10 LEE Lavender - - - - 1% 16% 83%
11 LIU Jaelyn A. - - - - - 4% 96%
12 SHEN Emilia - - 1% 7% 26% 43% 24%
13 DAI Zizhuo (Zizi) - - 2% 15% 43% 40%
14 XIE Lillian - - 2% 11% 33% 39% 15%
15 YANG Audrey - - 3% 17% 37% 34% 9%
16 LI Han 1% 8% 27% 38% 22% 3% -
17 MANIKTALA Prisha - - - 1% 9% 37% 53%
18 KAPUSTINA Arina - - - 5% 32% 63%
19 YANG Emma - - 2% 13% 37% 40% 7%
20 LAI Sophia - 2% 12% 29% 34% 18% 3%
20 SWANSON Alexa - 1% 7% 24% 39% 26% 3%
22 LIU Joy Zhaoyi - - - - 1% 14% 85%
23 FENG Grace - - 1% 11% 37% 48% 2%
24 PEVZNER Nicole - 1% 11% 36% 42% 9%
25 HSU Kaylin - 1% 9% 32% 41% 17%
26 SHIM Grace J. - - - 6% 35% 59%
27 HAFEZ Tahiyah 1% 7% 27% 39% 23% 5%
28 REN Kayley - 2% 13% 34% 37% 14%
29 YU Jane 2% 15% 36% 33% 12% 2% -
30 YAN Noelle - - 3% 16% 36% 36% 8%
31 DAVIS Logan - - - 4% 22% 48% 26%
32 WYNN Kylie 1% 8% 28% 37% 21% 5% -
33 HO Addison - 1% 7% 31% 48% 13%
34 SAIFEE Lamya - 3% 16% 34% 33% 12% 1%
35 SUN Chloe - - - 3% 17% 42% 38%
36 DENG Melissa 2% 10% 27% 34% 21% 5% -
37 WANG CAROL - 3% 15% 34% 35% 12% 1%
38 LIU Enjia sherry - - 1% 10% 36% 45% 8%
39 BEAVER Ava - - 8% 53% 38% 1%
40 PAULUS Sloane - 2% 15% 38% 34% 10%
41 FIELD Elizabeth - 1% 7% 27% 43% 23%
42 PENG Charlotte - 2% 10% 28% 39% 20% 1%
43 LUO Miranda - 2% 14% 36% 36% 11% 1%
44 ZELDIN Nadia 5% 23% 37% 26% 8% 1% -
45 LENK Sophie - 3% 13% 32% 35% 16% 1%
46 NIRGUDE Esha 1% 11% 29% 35% 19% 4% -
46 HAN Gian - 6% 23% 38% 26% 7% -
48 BROWN Lola - 1% 11% 34% 40% 13%
49 CULLIVAN Sienna - 1% 7% 27% 42% 23%
50 GUAN Adeline - - 5% 44% 49% 1%
51 TSIMIKLIS aphrodite - 6% 29% 45% 18% 2%
52 BING Charlotte 3% 19% 41% 29% 7% -
53 IQBAL Mariam 2% 15% 33% 32% 14% 2% -
54 HARRIS Julia - - 5% 21% 39% 28% 6%
55 KIM Chloe - 2% 11% 30% 38% 18% 1%
56 TAO Ann 2% 13% 31% 34% 17% 3% -
57 WANG Sunny 4% 19% 34% 29% 12% 2% -
58 ORRINGER Lottie - 7% 30% 41% 19% 3%
59 CHERNYKH Elina 4% 21% 37% 27% 9% 1% -
60 VANMOORSEL Faye 5% 23% 37% 26% 8% 1% -
61 WANG Joanna 15% 36% 33% 13% 2% - -
62 LICHTENSTEIGER Megan - 5% 21% 36% 28% 9% 1%
63 HUSSIAN Annabelle 37% 44% 17% 3% - - -
64 ZHANG Gwenyth 1% 10% 33% 40% 15% 1%
65 ZOU Ella - 1% 12% 33% 37% 16% 1%
66 QUINTERO Camila 3% 42% 40% 13% 2% -
67 ZHANG Ivy 1% 8% 25% 36% 24% 6% -
68 ALKADI Mai - 4% 16% 33% 33% 13% 1%
69 DUAN Sophie 1% 10% 27% 34% 21% 6% 1%
70 LIU Elinda 9% 28% 35% 21% 6% 1% -
71 MARTIN Sloan - 1% 6% 24% 39% 25% 5%
72 KIM Sydney 1% 12% 34% 35% 15% 3% -
73 MCFARLANE Asha 10% 35% 36% 15% 3% -
74 GAO Anne - 3% 19% 38% 30% 9% -
75 BARTON Nanea 1% 11% 31% 36% 18% 2% -
75 ZAMLYNNY Maya 3% 16% 33% 31% 14% 2% -
77 COX Sophia 1% 8% 25% 36% 24% 6% -
78 ZHANG Constance 6% 24% 37% 25% 8% 1% -
79 TAN Isabella 6% 25% 37% 25% 7% 1% -
80 KRYLTSOVA Eva 10% 32% 36% 18% 4% - -
81 ZOLDAN Gweniveve A. - 4% 23% 39% 27% 7% -
82 WANG DINA C. 3% 26% 45% 22% 3% -
83 LIN Yunong 22% 44% 27% 6% 1% -
84 GUO Audrey 23% 45% 26% 6% 1% -
85 LI savannah 11% 42% 41% 6% - -
86 SHMUKLER Maria 3% 17% 35% 31% 13% 2% -
87 STONE Sydney - 5% 21% 37% 28% 8% -
88 AADHI Hansika 1% 10% 32% 38% 16% 2% -
89 TAN Dorathy 2% 12% 29% 33% 19% 5% -
89 WANG Amabel - 3% 15% 34% 35% 12% 1%
91 DAVID Lilou J. 2% 13% 31% 33% 17% 4% -
91 JIN Sophia 3% 19% 35% 29% 11% 2% -
91 BULLARD Sydney 1% 12% 33% 36% 16% 2% -
94 TEPMAN Alexandra D. 1% 7% 28% 38% 21% 5% -
95 BLAKEY Heaven 1% 8% 24% 34% 24% 8% 1%
96 CANO Sofia 22% 40% 28% 9% 1% - -
97 LEE Madeleine 6% 25% 37% 25% 7% 1% -
98 DESAI Esha 2% 15% 34% 34% 13% 2% -
99 MUMMANENI Samyuta - 2% 15% 35% 35% 13% -
100 HAN Mia 3% 20% 36% 28% 10% 1% -
101 MENG Annabel 2% 17% 36% 32% 12% 2%
102 FEDER Acadia 31% 45% 20% 4% - -
103 WANG Selina 86% 14% 1% - - -
104 MORSE Katherine 7% 38% 40% 13% 1% -
105 JIN Sophie 39% 46% 14% 1% - -
106 LIU Angelina 45% 42% 12% 1% - - -
107 CROMWELL Keira - 2% 11% 29% 37% 20% 1%
108 SAIFEE Zahra 30% 42% 22% 5% 1% - -
109 DESERANNO Seren - 2% 13% 31% 36% 16% 1%
110 CAO Kayla 12% 34% 35% 16% 3% - -
110 PIQUETTE Annika 13% 37% 34% 14% 3% - -
110 LI Xiang 55% 37% 7% 1% - - -
113 LI Joy 16% 48% 29% 7% 1% - -
114 PEDERSEN Haley 15% 36% 33% 14% 3% - -
115 WU Elynna 6% 25% 36% 24% 8% 1% -
116 LI Olivia 4% 20% 36% 29% 10% 1% -
117 CHOI Sophie 51% 38% 10% 1% - - -
118 MIYASHIRO Katelyn 4% 22% 42% 25% 6% 1%
118 LEE Allison 66% 29% 4% - - -
120 THERON Zoe 10% 34% 36% 16% 3% - -
121 OS Danielle < 1% 10% 36% 38% 14% 1%
121 TULYAG Sayda 40% 42% 15% 2% - -
121 UHLIG Natalie 22% 49% 27% 2% - -
124 ZHANG Zoey 41% 41% 15% 3% - - -
125 CHEN Sophie 32% 41% 21% 5% 1% - -
126 JIN Amie 37% 41% 18% 4% - - -
127 ZHU Riley 32% 46% 19% 3% - -
128 KIM Sophia 17% 44% 30% 8% 1% - -
129 SALMI-BYDALEK Ada 8% 37% 37% 15% 3% - -
130 GOITIA Genevieve 16% 44% 31% 9% 1% - -
131 WANG Emma 15% 37% 32% 13% 2% - -
131 DENG Claire 8% 29% 37% 20% 5% - -
133 RUSSELL Bowen 6% 24% 35% 25% 9% 1% -
133 KANG Marian 27% 42% 24% 6% 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.