National Championships, Junior Olympic Championships & July NAC

Div II Women's Foil

Sunday, July 11, 2021 at 8:15 AM

Philadelphia, PA - Philadelphia, PA, USA

Probability density of pool victories

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Explore the probability of achieving at least a certain number of victories in the pool 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 GUERRA Sofia E. 100% 100% 99% 95% 79% 45% 13%
2 LOCKE Savannah 100% 100% 100% 100% 95% 74% 31%
3 DE LA CRUZ Eden 100% 100% 100% 99% 91% 65% 25%
3 WU Kyra 100% 100% 100% 99% 91% 63% 20%
5 ACHILOVA Feyza 100% 100% 100% 99% 89% 59% 17%
6 TONG Ophelia 100% 100% 100% 98% 87% 55% 16%
7 CHO Cameron S. 100% 100% 100% 100% 97% 80% 40%
8 WONG Sophia M. 100% 100% 98% 85% 56% 23% 4%
9 KOROL Neta 100% 100% 99% 95% 78% 45% 12%
10 KOROL Dana 100% 100% 100% 97% 82% 46% 12%
11 XUE Alanna L. 100% 100% 99% 92% 61% 16%
12 KOSTELNY Alexis 100% 100% 100% 99% 93% 68% 25%
13 PAHLAVI Dahlia 100% 100% 99% 93% 72% 37% 9%
14 DRAGNE Alexis D. 100% 100% 97% 82% 48% 16% 2%
15 PRIETO Sofia M. 100% 100% 100% 98% 85% 51% 14%
16 ATLURI Srija 100% 100% 100% 99% 89% 60% 20%
17 PERLMAN Talia 100% 100% 100% 99% 89% 61% 21%
18 GU EMILY 100% 100% 97% 83% 53% 20% 3%
19 PENG Amber L. 100% 100% 100% 97% 84% 51% 14%
20 WU Irene M. 100% 100% 98% 89% 63% 28% 5%
21 COOPER Piper W. 100% 100% 90% 61% 26% 6% 1%
22 LIU Siyuan 100% 100% 99% 94% 74% 37% 8%
23 WU Julianna Y. 100% 100% 99% 95% 79% 46% 13%
24 KHOO Lauren A. 100% 100% 100% 99% 86% 43%
25 DEBACK Greta I. 100% 100% 100% 100% 96% 76% 32%
26 YE Eileen 100% 100% 100% 97% 84% 53% 17%
27 ASCHETTINO Aurora 100% 97% 78% 41% 12% 2% -
28 MORADI Raiyan N. 100% 100% 98% 87% 54% 19% 3%
29 CANNON Lira J. 100% 100% 100% 96% 82% 50% 15%
30 XU Marie-Anne J. 100% 100% 99% 89% 62% 26% 5%
31 PANT Anisha 100% 100% 99% 93% 71% 35% 7%
32 LEE Ariana 100% 99% 90% 67% 35% 11% 1%
33 SUN Ruoxi 100% 100% 100% 100% 95% 72% 29%
34 DU Hannah 100% 100% 99% 94% 76% 42% 11%
35 SHIH Diane 100% 100% 100% 99% 90% 62% 21%
36 LUO Sandra J. 100% 100% 97% 84% 55% 20% 3%
37 YIN Helen 100% 99% 86% 56% 23% 5% -
38 COSTELLO Angeline S. 100% 100% 100% 99% 90% 63% 22%
39 SUN Chien-Yu 100% 100% 100% 96% 79% 43% 10%
40 ROY Layla 100% 100% 97% 85% 56% 22% 3%
41 SOLDATOVA Maria 100% 100% 98% 83% 51% 18% 3%
42 SHITAMOTO Audrey F. 100% 100% 99% 92% 68% 32% 7%
43 DING Abigail 100% 100% 99% 91% 66% 31% 6%
43 BOLES Sophia 100% 100% 96% 78% 45% 15% 2%
45 SCHMIDT Victoria 100% 91% 62% 26% 6% 1% -
46 DEVEREAUX Kate E. 100% 100% 96% 79% 47% 16% 2%
47 DUAN Konnie 100% 100% 100% 96% 81% 49% 14%
48 MI Anning 100% 98% 87% 61% 28% 7% 1%
49 PERKINS Jazmin A. 100% 99% 91% 64% 27% 6% -
50 VOHRA Anusha 100% 100% 96% 76% 32% 5%
51 RANDOLPH Piper 100% 100% 95% 76% 43% 14% 2%
52 CHON Sydney 100% 100% 99% 93% 69% 30% 6%
53 YU Lauren C. 100% 100% 99% 94% 73% 38% 9%
54 MCKEE Alexandra K. 100% 100% 95% 75% 38% 10% 1%
55 ZHAO Aileen Y. 100% 100% 97% 83% 53% 21% 3%
56 SULEIMAN Alysa J. 100% 100% 98% 88% 62% 28% 6%
57 SULEIMAN Alena J. 100% 100% 99% 92% 69% 35% 8%
58 YU Jaime L. 100% 100% 99% 90% 63% 26% 4%
59 CHEW Alexis T. 100% 99% 92% 70% 37% 11% 1%
60 CHARALEL Jessica 100% 89% 51% 13% 1% -
61 HUANG NATALIE 100% 100% 97% 82% 52% 20% 3%
62 HIRSCH Sophie A. 100% 98% 84% 53% 21% 5% -
63 POWERS Meredith R. 100% 100% 96% 76% 39% 10% 1%
64 XIANG Emma 100% 100% 96% 78% 43% 12% 1%
65 LIU Sophia 100% 100% 95% 75% 38% 10% 1%
66 JIANG Yangying (Amanda) 100% 100% 99% 91% 68% 31% 6%
67 FU Qihan 100% 100% 97% 82% 48% 16% 2%
68 MAESTRADO Ashley R. 100% 99% 87% 51% 16% 2% -
69 BHAN Zala 100% 98% 83% 48% 16% 2% -
70 SCHUEPPERT Amelia V. 100% 99% 89% 62% 28% 7% 1%
71 HSIUNG Samantha 100% 92% 66% 32% 9% 1% -
72 KALE Anika A. 100% 100% 95% 74% 40% 13% 2%
73 OLIVEIRA Lavinia M. 100% 97% 82% 49% 19% 4% -
74 BASSIK Eva 100% 97% 73% 34% 9% 1% -
75 PAVE Claire 100% 93% 68% 34% 10% 2% -
76 SLASKI Caroline O. 100% 99% 86% 50% 16% 3% -
77 OLSEN Jen 100% 97% 69% 30% 7% 1% -
78 BRANDON Fionnoula 100% 89% 53% 18% 3% - -
79 KOSLOW Amicie 100% 100% 91% 65% 31% 9% 1%
80 NUNLEY Victoria 100% 96% 73% 36% 10% 1% -
81 SHUM Elizabeth 100% 95% 76% 42% 15% 3% -
82 HSIEH Rebecca 100% 90% 59% 24% 5% 1% -
83 SIMONOV Dasha 100% 100% 99% 90% 64% 28% 6%
84 DUVVURI Oorvi 100% 43% 8% 1% - - -
85 WEINTRAUB Io H. 100% 99% 94% 75% 41% 12% 1%
86 MEYER Claudia 100% 86% 51% 18% 4% - -
87 RAO Sonia D. 100% 90% 59% 25% 6% 1% -
87 TIBURZI hallie 100% 97% 79% 42% 12% 1% -
89 YANG Lingting 100% 98% 87% 59% 26% 6% 1%
90 FURST Chloe 100% 96% 73% 34% 8% 1% -
91 BAWA Sahana 100% 94% 66% 27% 6% 1% -
92 MOSE Anastasia E. 100% 78% 34% 8% 1% - -
93 HOLLE Aviella S. 100% 98% 88% 63% 30% 8% 1%
94 ZAMELIS Madelyn 100% 72% 22% 3% - - -
95 MARKOVSKY Nina 100% 97% 75% 38% 11% 2% -
95 DATLA Medha 100% 79% 32% 7% 1% - -
97 QUINN Anna 100% 60% 13% 1% - - -
98 PARK Leah 100% 61% 17% 2% - -
99 HWANG Alison 100% 100% 96% 77% 42% 13% 2%
100 COKER Bettina M. 100% 100% 99% 87% 54% 17% 2%
101 TURNER Stephanie E. 100% 100% 94% 70% 33% 8% 1%
101 VAUGHAN Norah 100% 96% 77% 43% 14% 2% -
103 HIRSCH Gabriella H. 100% 80% 38% 9% 1% - -
104 WEBB Ella 100% 98% 85% 53% 21% 5% -
105 CHAPARRO Alejandra 100% 100% 98% 87% 61% 27% 6%
106 MAO Rebecca J. 100% 100% 97% 84% 51% 16% 2%
107 CASPER Emily N. 100% 100% 98% 87% 58% 22% 3%
108 THIRUVENGADAM Harini 100% 90% 60% 25% 5% 1% -
109 MUSTO Isabella 100% 93% 67% 31% 8% 1% -
110 GANDLURI Sreehitha 100% 40% 7% 1% - - -
111 NELSON Gwendolyn H. 100% 73% 32% 8% 1% - -
111 CHEN Jasmine 100% 91% 63% 27% 6% 1% -
113 OETZEL Taylor 100% 64% 19% 3% - - -
114 HEISER Anna M. 100% 94% 70% 36% 11% 2% -
115 SCARLETT Skye 100% 69% 27% 5% 1% - -
116 BLAM Kaitlin 100% 98% 85% 52% 20% 4% -
117 LI Irina 100% 63% 22% 4% - - -
118 NICKOLOV Nora 100% 60% 16% 2% - - -
119 RYDMAN Grace 100% 81% 37% 9% 1% - -
120 LIN Victoria T. 100% 91% 54% 15% 2% -
121 MADSEN Ansley 100% 49% 11% 1% - - -
122 HUNT Abigail S. 100% 81% 42% 13% 2% - -
123 LEMASTERS Elise M. 100% 20% 2% - - - -
123 ROMANO Megan C. 100% 73% 29% 6% 1% - -
125 SCHUEPPERT Chloe M. 100% 19% 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.