National Championships, Junior Olympic Championships & July NAC

Y-14 Women's Épée

Thursday, July 8, 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 KHAMIS Yasmine A. 100% 100% 100% 100% 100% 96% 67%
2 JAKEL Sophia N. 100% 100% 100% 100% 97% 82% 40%
3 MEHROTRA Anya 100% 100% 100% 100% 98% 85% 46%
3 KORFONTA Jolie 100% 100% 100% 98% 87% 57% 17%
5 GU Sarah 100% 100% 100% 100% 100% 95% 65%
6 GAJJALA Sharika R. 100% 100% 100% 100% 97% 80% 39%
7 PADHYE Tanishka 100% 100% 100% 99% 92% 68% 27%
8 LUO Ashley 100% 100% 100% 96% 78% 37%
9 MACHULSKY Leehi 100% 100% 100% 100% 100% 97% 71%
10 CALDERA Lexi I. 100% 100% 100% 97% 82% 47% 12%
11 RAKHOVSKI Alexandra 100% 100% 99% 90% 64% 26% 4%
12 KIM Zoe L. 100% 100% 100% 96% 74% 27%
13 NGUYEN Tallulah 100% 100% 98% 86% 51% 11%
14 LIN Elaine 100% 99% 93% 71% 34% 6%
15 SEBASTIAN Felicity A. 100% 100% 100% 99% 91% 48%
16 WONG Alexandra R. 100% 100% 97% 83% 50% 17% 2%
17 HAFEEZ Hania 100% 100% 99% 91% 62% 20%
18 POTAPENKO Margarita D. 100% 100% 100% 95% 74% 35% 4%
19 MALLAVARPU Aarthi C. 100% 100% 100% 97% 84% 50% 12%
20 ZHU Serene M. 100% 99% 92% 69% 34% 8% 1%
21 LEE Rachel 100% 99% 94% 75% 43% 14% 2%
22 ZIGALO Elizabeth 100% 100% 100% 98% 85% 44%
23 DESAI Meera P. 100% 100% 100% 98% 82% 36%
24 ORTEGA Ivanna S. 100% 100% 100% 99% 92% 66% 25%
25 RUNIONS Emersyn 100% 100% 100% 99% 95% 78% 37%
26 NGUYEN Kira 100% 100% 100% 99% 92% 67% 25%
27 FENG ge 100% 100% 93% 68% 31% 6% -
28 ZHEREBCHEVSKA Veronika 100% 99% 93% 68% 27% 4%
29 YANG Alisa 100% 100% 98% 89% 62% 26% 4%
30 RANDLEMAN Teresa 100% 100% 96% 76% 38% 8% -
31 LIU Nicole 100% 97% 79% 44% 13% 1%
32 JAKEL Alysa C. 100% 98% 84% 55% 24% 5% -
33 PEHLIVANI Zara 100% 100% 100% 97% 84% 51% 14%
34 HAFEEZ Hiba 100% 100% 97% 84% 51% 15%
34 DOROSHKEVICH Victoriia 100% 100% 100% 97% 79% 27%
36 NELSON-LOVE Lily B. 100% 100% 100% 99% 93% 70% 28%
37 LEE Yedda 100% 100% 100% 97% 81% 43% 9%
38 REID Anousheh 100% 100% 100% 99% 92% 67% 25%
38 BECKMAN Ana 100% 99% 92% 65% 29% 6% -
40 CHI Chelsea 100% 96% 72% 34% 8% 1% -
41 LAN Alice S. 100% 100% 100% 97% 81% 43% 6%
42 ZHANG Victoria R. 100% 100% 100% 99% 94% 69% 26%
43 CHIRASHNYA Noya 100% 100% 97% 82% 48% 16% 2%
44 PRIHODKO Nina 100% 98% 88% 59% 25% 5% -
44 PEELER Julia 100% 99% 89% 59% 24% 4% -
46 SMOTRITSKY Mia 100% 100% 100% 98% 87% 53% 14%
47 MIN MAGNOLIA 100% 100% 99% 93% 72% 35% 7%
48 CANNING Charlotte 100% 99% 87% 55% 20% 3% -
49 YAN Grace 100% 96% 71% 30% 4% -
50 ELSTON Sophia 100% 100% 98% 84% 48% 12%
51 SIMHADRI Meghana 100% 86% 49% 16% 3% -
52 SHIV Avni 100% 96% 78% 43% 12% 1%
53 BUSH emma 100% 100% 96% 79% 44% 13% 1%
54 AZMEH nour 100% 100% 96% 77% 42% 12% 1%
55 HESS Heidi J. 100% 100% 95% 77% 43% 13% 2%
56 YOU Isabel B. 100% 93% 70% 36% 11% 2% -
57 YAO Yilin 100% 98% 82% 47% 15% 2% -
58 LU Samantha R. 100% 100% 97% 79% 42% 10% 1%
59 YOU Emily 100% 96% 63% 22% 4% -
60 SUN Renee R. 100% 100% 97% 84% 52% 17% 2%
61 TOLSMA Chloe (CJ) 100% 100% 96% 76% 41% 12% 1%
62 HSIU Elizabeth 100% 86% 49% 17% 3% - -
62 YAO Melinda 100% 100% 99% 92% 70% 32% 4%
64 BROWN Hannah 100% 97% 73% 34% 8% 1% -
65 YU Nicole J. 100% 100% 99% 93% 71% 34% 7%
66 BURCHETT Victoria 100% 100% 92% 66% 30% 7% 1%
66 SKOURLETOS Angelina 100% 99% 92% 71% 38% 11% 1%
68 WITTER Catherine A. 100% 100% 94% 74% 40% 12% 1%
69 WATTANAKIT Anda 100% 99% 93% 72% 37% 10% 1%
70 KIM Jayna 100% 97% 79% 41% 11% 1% -
71 FURMAN Maria 100% 100% 98% 89% 59% 19%
72 PATIL Amulya 100% 95% 69% 28% 5% -
73 SHARMA Sanvi 100% 100% 98% 82% 46% 11%
73 SONG Angela 100% 90% 58% 21% 3% -
75 CHISHOLM Phoebe C. 100% 96% 76% 40% 12% 2% -
76 MUELLER Emma M. 100% 100% 99% 93% 71% 33% 5%
77 LEE Claire 100% 92% 56% 19% 3% - -
78 ZHENG Linden 100% 97% 80% 47% 16% 3% -
79 NGUYEN Ashley L. 100% 94% 72% 36% 10% 1% -
80 SWENSON Nikita G. 100% 100% 91% 63% 26% 5% -
81 NEMETH Katherine 100% 99% 90% 63% 28% 6% 1%
82 NEELAM Neha 100% 85% 50% 17% 3% - -
83 CHANG Ella 100% 95% 70% 31% 7% 1% -
84 KORKIN Alice 100% 99% 89% 61% 25% 4%
85 HAYNES Antonia 100% 89% 55% 19% 3% -
86 MALLAVARPU saanvi 100% 89% 57% 22% 4% -
87 LEE Olivia 100% 95% 68% 26% 3% -
88 POPOVICI Alina B. 100% 100% 99% 90% 63% 25% 4%
89 YAO KATHARINE 100% 100% 99% 90% 62% 25% 4%
90 KUMAR Eva 100% 96% 68% 29% 7% 1% -
91 SPRINGER Sierra 100% 90% 58% 23% 5% 1% -
92 KRUMHOLZ Nicole 100% 88% 56% 22% 5% 1% -
93 WANG Angelina 100% 89% 59% 24% 5% 1% -
94 SMUK Alexandra S. 100% 90% 57% 21% 4% - -
94 MARTYNOVA Diana 100% 96% 78% 46% 17% 3% -
96 LIN Ashley 100% 72% 28% 6% 1% - -
97 MUN Brianna K. 100% 99% 82% 43% 11% 1%
98 HSU Adele Y. 100% 92% 63% 24% 4% -
99 LEE Camilla 100% 88% 54% 19% 3% -
100 PHUKAN Indra 100% 84% 47% 15% 2% -
101 MISHIMA Audrey 100% 58% 17% 2% - -
101 MEYER Rachel 100% 25% 3% - - -
103 NELSON Grace E. 100% 72% 28% 5% - -
104 PULLEN Ayah 100% 89% 55% 19% 3% -
105 PERVEZ Zaynab 100% 92% 65% 28% 6% 1%
106 KEE Bea Isabelle 100% 91% 57% 21% 4% - -
107 HU Chelsea 100% 100% 96% 75% 39% 10% 1%
108 NGUYEN Jolie T. 100% 100% 93% 67% 29% 6% -
109 SHEN Yongen 100% 95% 75% 43% 15% 3% -
109 XU Katelyn 100% 84% 46% 15% 3% - -
111 MACEY Hadley 100% 76% 33% 7% 1% - -
112 FERREIRA DE MELO Adriana 100% 99% 88% 59% 25% 5% -
113 SHU Youshan 100% 93% 62% 25% 5% - -
114 GUAN Isabella 100% 60% 19% 3% - - -
115 POON Desiree 100% 73% 31% 7% 1% - -
116 HAU Olivia 100% 97% 82% 49% 17% 3% -
117 BENZAN India 100% 94% 66% 25% 3% -
118 DONGES Anna 100% 85% 46% 13% 2% - -
119 NIEMAN Aubrey 100% 94% 69% 34% 10% 1% -
119 TYTELL Elizabeth 100% 80% 37% 9% 1% - -
121 CARRIER Meredith 100% 82% 39% 9% 1% -
122 NIX Reagan 100% 80% 40% 12% 2% - -
123 DONDISCH Andrea 100% 44% 9% 1% - - -
124 PATELLI Anna Alice 100% 62% 20% 3% - - -
124 MEYER Rebecca 100% 31% 4% - - - -
126 NAIR Supriya 100% 85% 40% 8% 1% - -
126 MIHILL Margaret 100% 28% 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.