USA Fencing National Championships & July Challenge

Y-12 Women's Épée

Saturday, July 6, 2019 at 8:00 AM

Columbus, OH - Columbus, OH, 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 MACHULSKY Leehi - - - - 3% 26% 72%
2 KHAMIS Yasmine A. - - - - 2% 19% 80%
3 MALLAVARPU Aarthi C. - - - 3% 16% 42% 39%
3 GU Sarah - - 1% 10% 37% 42% 9%
5 CALDERA Lexi I. - - 1% 6% 23% 42% 28%
6 LUO Ashley - - 3% 13% 31% 36% 17%
7 GAJJALA Sharika R. - - 2% 10% 30% 40% 18%
8 MEHROTRA Anya - - 1% 7% 24% 41% 27%
9 NELSON-LOVE Lily B. - - - 1% 7% 34% 58%
10 DOROSHKEVICH Victoriia - - - 3% 16% 41% 40%
11 TAYLOR Kiera S. - - 3% 15% 34% 35% 12%
12 CHERNIS Zoe C. - - - 4% 19% 42% 34%
13 SEBASTIAN Felicity A. - - - - 6% 35% 58%
14 LEACH Meka A. - - 1% 8% 28% 42% 20%
15 LEE Yedda - - 4% 17% 35% 34% 10%
16 GAURIAT Jade S. 3% 17% 34% 31% 13% 2% -
17 JAKEL Sophia N. - - 1% 6% 23% 42% 29%
18 REID Anousheh - 3% 12% 28% 33% 20% 5%
19 ZHANG Tina - - 1% 6% 25% 44% 25%
20 LAN Alice S. - - 2% 11% 30% 39% 18%
21 DESAI Meera P. - - 5% 21% 41% 30% 3%
22 FALLON Kyle R. - - 1% 6% 22% 41% 30%
23 KIM Zoe L. - - 3% 14% 34% 36% 14%
24 MIN MAGNOLIA - - 3% 17% 45% 30% 5%
25 PEHLIVANI Zara - 2% 11% 27% 33% 21% 5%
26 RUNIONS Emersyn - 1% 5% 17% 33% 32% 13%
27 SHARMA Sanvi - 1% 5% 19% 37% 31% 7%
28 ALEXANDROV Katherine S. - - 1% 9% 34% 47% 9%
29 NGUYEN Kira - 4% 18% 34% 30% 12% 2%
30 ZHANG Victoria R. - 4% 18% 35% 31% 11% 1%
31 CHIRASHNYA Noya - 2% 12% 33% 38% 15% 1%
32 BARBARA Camille < 1% 3% 14% 29% 32% 18% 4%
33 HESS Heidi J. - 2% 13% 31% 35% 17% 3%
34 HAFEEZ Hania - 11% 34% 35% 16% 3% -
35 GREGORY Aleksandra - 3% 16% 36% 32% 11% 1%
36 PADHYE Tanishka - 1% 7% 24% 39% 26% 2%
37 LU Samantha R. - 3% 15% 31% 32% 16% 3%
38 CHERNYSHOVA Victoria - 1% 6% 21% 36% 29% 8%
39 YAO KATHARINE - 1% 8% 26% 38% 22% 4%
40 BOHRER Shira - 4% 19% 41% 29% 7% -
41 YU Nicole J. - 1% 8% 26% 38% 24% 4%
42 SUN Ruilin 1% 10% 25% 33% 22% 8% 1%
43 PEELER Julia 31% 46% 19% 3% < 1% - -
44 ORTEGA Ivanna S. - - - - 2% 20% 78%
45 ELSTON Sophia 5% 21% 34% 27% 11% 2% -
46 BARCLAY Khyri 15% 35% 32% 14% 3% - -
47 HAU Olivia - 3% 13% 28% 33% 19% 4%
47 GUJJA Misha - 1% 5% 20% 37% 30% 8%
49 HAFEEZ Hiba 2% 12% 30% 34% 18% 4% -
50 LO Sabrina S. - 6% 22% 35% 27% 9% 1%
51 LEEDER Elizabeth 18% 37% 30% 12% 3% - -
52 POPOVICI Alina B. 1% 7% 25% 36% 24% 7% 1%
53 RAKHOVSKI Alexandra - 2% 11% 29% 36% 18% 3%
54 ODOM Megan A. 3% 21% 39% 27% 8% 1% -
55 PECK Maia A. - 2% 12% 36% 38% 11% 1%
56 KEE Bea Isabelle 5% 21% 36% 27% 10% 1% -
57 LEE Scarlett 1% 9% 27% 36% 22% 5% -
58 HU Chelsea 1% 11% 29% 35% 19% 5% -
59 LABRACHE Ella P. - - 2% 12% 33% 38% 15%
60 YANG Alisa 8% 32% 40% 18% 3% - -
61 NEMETH Katherine 5% 23% 38% 26% 8% 1% -
62 LEE Natasha 2% 13% 29% 32% 18% 5% 1%
63 FURMAN Maria 1% 27% 41% 24% 6% 1% -
64 HOOPER Lucy 4% 19% 32% 28% 13% 3% -
65 YU Bailey 1% 10% 28% 35% 21% 5% -
66 REMEZA Alissa - - 2% 13% 34% 38% 12%
67 ZIGALO Elizabeth - 1% 9% 27% 36% 22% 5%
68 NGUYEN Tallulah 1% 8% 24% 34% 24% 8% 1%
69 RANDLEMAN Teresa 2% 16% 35% 31% 13% 2% -
70 MUELLER Emma M. - 3% 14% 30% 33% 17% 3%
71 JAKEL Alysa C. 12% 33% 34% 17% 4% - -
72 KIM Jayna 6% 27% 40% 23% 4% - -
73 MUN Brianna K. 1% 12% 31% 34% 17% 4% -
74 QURESHI Nisa - 4% 22% 39% 27% 7% -
75 SWENSON Nikita G. - 7% 24% 36% 25% 8% 1%
76 CHOI Grace - 4% 18% 34% 30% 12% 2%
77 WITTER Catherine A. - 3% 15% 36% 33% 12% 1%
78 YPHANTIDES Anthi - 2% 13% 32% 34% 16% 3%
79 QIU Emily 8% 27% 36% 22% 6% 1% -
80 SMUK Alexandra S. 27% 42% 24% 6% 1% - -
81 DUAN Annie S. 17% 38% 31% 12% 2% - -
82 PRIHODKO Nina - 7% 25% 36% 24% 7% 1%
83 FARICY Aislynn A. 7% 28% 39% 22% 4% - -
84 YERIAN Ayda 1% 9% 25% 34% 23% 7% 1%
85 CHANG Celine A. - 3% 16% 34% 32% 13% 2%
86 QUIN Kathleen J. 11% 34% 36% 16% 3% - -
87 NGUYEN Jolie T. - 4% 19% 36% 30% 10% 1%
88 PERVEZ Zaynab 2% 11% 29% 34% 19% 5% -
89 SMOTRITSKY Mia 5% 25% 40% 24% 5% - -
90 SKOURLETOS Angelina - 3% 14% 32% 34% 15% 2%
90 WONG Bella 34% 43% 19% 3% - - -
92 MARTINO Alessandra 1% 13% 32% 33% 16% 4% -
93 LIN Elaine 12% 38% 36% 12% 2% - -
94 HSU Adele Y. 2% 13% 32% 34% 16% 3% -
94 PATIL Amulya 5% 25% 38% 24% 7% 1% -
96 CASPAR Margot 9% 31% 37% 19% 4% - -
97 LIU Nicole 13% 39% 35% 11% 1% - -
98 BROWN Hannah 6% 23% 34% 25% 10% 2% -
98 ZALEWSKI Rosalyn 25% 41% 25% 8% 1% - -
100 XIA Amy 5% 22% 36% 26% 9% 1% -
101 LEE Olivia 7% 31% 37% 20% 5% 1% -
102 MACEY Hadley 7% 33% 38% 18% 4% - -
103 GUPTA Sanya 5% 23% 37% 26% 8% 1% -
104 SYKES Elynor 9% 29% 35% 20% 6% 1% -
104 DAVIS Cate 8% 30% 37% 19% 4% - -
106 CHISHOLM Phoebe C. - 2% 17% 35% 32% 12% 2%
107 ZHU Serene M. 5% 24% 37% 26% 7% 1% -
107 NELSON Grace E. 49% 38% 11% 2% - - -
109 LEE Rachel 3% 17% 34% 31% 13% 2% -
110 YOU Isabel B. 16% 37% 32% 13% 2% - -
111 YEH Megan 8% 26% 35% 23% 8% 1% -
112 PULLEN Ayah 24% 40% 26% 8% 1% - -
112 DALEY Keira 51% 38% 10% 1% - - -
114 TYTELL Elizabeth 30% 43% 22% 4% - - -
115 GEVA Eliana 27% 45% 22% 5% 1% - -
116 TAVAREZ Kayla 36% 44% 17% 2% - - -
118 JARONIK Izzie 68% 27% 4% - - - -
119 SOIN Kaira 53% 37% 9% 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.