March NAC

Y-14 Women's Épée

Friday, March 4, 2022 at 8:00 AM

Richmond, VA, 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 KORFONTA Jolie - - - 2% 13% 41% 43%
2 REID Anousheh - - - 1% 11% 38% 49%
3 RANDLEMAN Teresa - - - 2% 14% 43% 41%
3 YIN Julia - - 1% 5% 22% 42% 29%
5 RAKHOVSKI Alexandra - - - 3% 21% 48% 28%
6 WANG Ziqi - 3% 18% 38% 30% 10% 1%
7 ZIGALO Elizabeth - - - - 1% 16% 82%
8 NGUYEN Tallulah - - - 2% 14% 40% 44%
9 SENYUVA Su - - 1% 11% 35% 43% 10%
10 ZHU Serene M. - - 3% 13% 31% 37% 16%
11 WATTANAKIT Anda - - 1% 10% 34% 43% 13%
12 BEZUGLAYA Varvara - - - 2% 17% 47% 33%
13 BARNOW Sasha - - 2% 14% 36% 36% 13%
14 SPRINGER Sierra - - 1% 9% 29% 43% 18%
15 YANG Alisa - - - 1% 10% 40% 50%
16 YOU Emily - 1% 6% 23% 38% 26% 6%
17 XUAN Nicole J. - - - - 3% 24% 73%
18 ZHANG Victoria R. - - - - 2% 21% 77%
19 YAO Melinda - - - 1% 11% 41% 46%
20 SHIV Avni - - 2% 14% 36% 36% 12%
21 KIM Zoe L. - - - - 6% 34% 60%
22 LEE Olivia - 1% 5% 19% 38% 30% 8%
23 CAFASSO Natalya - 1% 9% 33% 37% 17% 3%
24 HAFEEZ Hania - - 3% 14% 33% 35% 14%
25 TOLSMA Chloe (CJ) - - - 4% 21% 44% 30%
26 PROFIS Liora - 6% 24% 37% 25% 7% 1%
27 BALAKRISHNAN Trisha 32% 44% 20% 4% - < 1% -
28 BECKMAN Ana - 1% 9% 28% 37% 21% 4%
29 KUMAR Eva - 2% 10% 28% 38% 19% 3%
30 ZHAO Angela 4% 18% 33% 30% 13% 2% -
31 SWENSON Nikita G. - - 4% 16% 33% 34% 13%
32 GEVA Eliana - 3% 16% 34% 33% 13% 1%
33 SMUK Alexandra S. - 3% 16% 33% 32% 13% 2%
34 WITTER Catherine A. - - 2% 13% 34% 37% 14%
35 NOVOJILOV Anastasia 1% 9% 28% 36% 20% 4% -
36 LEE Claire - 1% 8% 34% 40% 16% 2%
37 DOUGLAS Marketa F. - 2% 16% 37% 33% 10% 1%
38 PHUKAN Indra - 1% 6% 23% 39% 28% 3%
39 DEPOMMIER Isabelle 1% 7% 25% 37% 24% 6% -
40 HAFEEZ Hiba - - 2% 13% 34% 37% 14%
40 LIU Nicole - - 1% 9% 32% 43% 14%
40 WANG Jessie - 4% 18% 36% 31% 10% -
43 YOU Isabel B. 1% 8% 24% 36% 24% 7% -
44 ZHAN Nancy 1% 7% 23% 34% 26% 9% 1%
45 STERR Isabella M. - 1% 7% 27% 42% 20% 3%
46 KOZLOWSKI Maya M. - 3% 17% 34% 31% 13% 2%
47 AZMEH nour - 1% 9% 26% 37% 23% 3%
47 NIX Reagan - 3% 17% 35% 32% 12% 1%
49 KOVALCHUK Erika S. - 4% 19% 35% 30% 11% 1%
50 LEE REGINA - - 3% 14% 33% 36% 15%
51 LI Yuhe - - 2% 11% 33% 39% 15%
51 FURMAN Maria - - 1% 9% 31% 40% 18%
53 FERREIRA DE MELO Adriana - 5% 19% 34% 29% 12% 2%
54 CARRIER Meredith - 2% 15% 36% 34% 11% 1%
55 PINNAMANENI Drithi - 1% 8% 27% 37% 22% 4%
56 YILMAZ Pinar 1% 9% 25% 35% 23% 7% 1%
57 WANG Victoria 3% 20% 37% 28% 10% 1% -
58 CHISHOLM Phoebe C. - 1% 7% 23% 38% 26% 5%
59 SMOTRITSKY Liat 3% 25% 41% 25% 6% 1% -
59 GUO Luxi - 5% 20% 36% 30% 9% -
61 MISHIMA Audrey 6% 26% 39% 23% 6% 1% -
62 QIU Emily - 6% 24% 36% 25% 8% 1%
63 LEE Camilla - 1% 10% 31% 39% 18% 1%
64 WANG Angelina - 5% 20% 36% 29% 10% 1%
65 RICHARDSON Meredith 1% 10% 32% 37% 17% 3% -
66 LISCUM Vivian 6% 29% 37% 21% 6% 1% -
67 SU Evelyn - 3% 16% 33% 32% 14% 2%
68 REKEDA Anna 2% 15% 40% 32% 10% 1% -
69 MONOVA Lilyana 3% 21% 40% 28% 8% 1% -
70 MIRZA Annoshae 9% 37% 36% 15% 3% - -
71 HUANG Lanlan - 5% 21% 36% 28% 9% 1%
72 HOAGLAND Sally 22% 43% 27% 7% 1% - -
73 MCKENNA Analise 11% 34% 35% 16% 3% - -
74 VARAN Kateryna 5% 24% 38% 25% 8% 1% -
75 SYKES Elynor 2% 15% 33% 32% 15% 3% -
76 HAYNES Antonia - 1% 8% 29% 42% 19% 2%
77 YOUNG VIVIAN - 1% 8% 34% 41% 15% 2%
78 SUN Hanya - 2% 10% 27% 36% 21% 4%
79 CUEVA Viola 2% 14% 32% 33% 16% 3% -
80 MCQUEEN Morgan 4% 21% 36% 28% 10% 1% -
80 KOMAROW Anastasia 2% 14% 31% 33% 17% 4% -
82 LIN Ariel 2% 14% 33% 34% 15% 3% -
83 WANG Ziqiao 54% 36% 9% 1% - - -
84 SUICO Kyubi Emmanuelle 2% 20% 50% 24% 4% - -
85 WRIGHT Madison 45% 40% 13% 2% - - -
86 SCHOR Elisabeth 6% 31% 43% 17% 3% - -
87 WANG Sara 4% 34% 41% 17% 3% - -
88 KUMAR Anusha 3% 21% 38% 28% 9% 1% -
89 HOY Emmarose 10% 35% 36% 16% 3% - -
90 PETROFF Gabrielle 72% 25% 3% - - - -
90 NOH Rachel 28% 52% 18% 2% - - -
92 SUN Zeyu 11% 32% 35% 17% 4% - -
93 MOLLINIER Anais - 3% 15% 34% 34% 13% 1%
94 BI Michelle 50% 40% 10% 1% - - -
95 JI Catherine 1% 14% 36% 34% 13% 2% -
96 CHANG Abigail 4% 18% 34% 30% 12% 2% -
97 CHUANG Ramona 5% 25% 40% 24% 5% - -
97 BO GENESIS 35% 44% 17% 3% - - -
99 WANG Sijia 60% 33% 7% 1% - - -
100 IYER Ishana 7% 27% 37% 22% 6% 1% -
101 CHIRASHNYA Mika 27% 44% 23% 5% 1% - -
101 FANG Jocelyn 6% 24% 36% 25% 8% 1% -
103 SCHMITT Harper 1% 10% 32% 40% 16% 2% -
104 TOSH Audrey 12% 33% 35% 16% 3% - -
105 MARTINEZ Christina 39% 44% 15% 2% - - -
106 DAGLI Saira Veronica 44% 45% 11% 1% - - -
107 LY Hannah 24% 44% 26% 6% 1% - -
108 LOZIER Grace 38% 41% 17% 3% - - -
109 GUAN Isabella 1% 12% 32% 34% 17% 4% -
110 KIM Kailyn 2% 17% 36% 31% 12% 2% -
111 KANASKAR Ila 54% 37% 9% 1% - - -
112 YERIAN Ayda 1% 13% 31% 33% 17% 4% -
112 MEZACK Nicole 2% 25% 43% 24% 6% 1% -
114 ELTERMAN Kate 44% 41% 13% 2% - - -
115 BEATIE Isabella M. 18% 42% 30% 9% 1% - -
115 NGUYEN Ella 21% 45% 27% 7% 1% - -
117 ZAIDI Maira 25% 49% 22% 4% - - -
118 FORDER Isabel 19% 47% 29% 5% - - -
119 FANG jenna kim 11% 30% 33% 19% 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.