National Championships and July Challenge (Summer Nationals)

Div I-A Women's Épée

Tuesday, July 2, 2024 at 3:00 PM

Greater Columbus Convention Center - 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 KORFONTA Jolie - - 1% 7% 25% 42% 26%
2 BUECHEL Holly M. - - - 3% 16% 40% 41%
3 SEBASTIAN Felicity A. - - 1% 8% 28% 41% 21%
3 WATTANAKIT Anda - 2% 11% 27% 35% 21% 4%
5 HAFEEZ Hiba - 4% 20% 38% 30% 8%
6 PADHYE Tanishka - - 2% 10% 29% 39% 20%
7 YANG Alisa - 1% 6% 21% 36% 28% 8%
8 WELLS Tesla M. - 1% 8% 23% 35% 25% 7%
9 ZANGA Kaitlyn - 4% 16% 32% 31% 14% 3%
10 SWENSON Nikita G. - - 2% 9% 27% 39% 23%
11 SMUK Alexandra S. - 1% 4% 17% 33% 32% 12%
12 FURMAN Maria - 3% 14% 30% 32% 17% 4%
13 CHI Chelsea 1% 5% 20% 35% 30% 10%
14 ANDERSON Claire 2% 13% 33% 35% 15% 2%
15 DALEY Keira - 8% 29% 38% 20% 4%
16 PEHLIVANI Zara - - 4% 20% 38% 30% 8%
17 MUELLER Emma M. - 2% 11% 26% 34% 22% 5%
17 LEE Natasha - - 2% 11% 31% 40% 15%
19 SPRINGER Sierra - - - 4% 20% 43% 33%
20 PROKOP Jeannine A. - 2% 10% 26% 34% 23% 5%
21 LIN Elaine 1% 6% 20% 35% 29% 9%
22 SHU Youshan - 4% 16% 31% 30% 15% 3%
23 KUNJAN Lena R. - - - 4% 19% 41% 35%
24 SMUK Daria A. - 2% 12% 33% 39% 15%
25 WANG Zoe - 1% 8% 24% 34% 25% 7%
26 DESAI Meera P. - - 4% 17% 35% 33% 11%
27 ZHU Serene M. 1% 6% 21% 33% 26% 10% 2%
28 PECK Maia A. - 3% 15% 32% 33% 14% 2%
29 YOU Emily - 1% 7% 22% 36% 27% 6%
30 NELSON-LOVE Lily B. - 2% 11% 27% 34% 21% 5%
31 ZHEREBCHEVSKA Veronika - 8% 28% 36% 22% 6% 1%
32 VASYAKIN Liana 17% 37% 30% 13% 3% - -
33 KIM Jayna 1% 8% 25% 35% 23% 7% 1%
34 ROVATI Caterina - - 2% 11% 29% 39% 19%
35 BASRALIAN Azniv - 3% 15% 30% 32% 16% 3%
36 FLITMAN Gabrielle 32% 41% 21% 5% 1% < 1% -
37 FENG Ge - - 3% 13% 35% 39% 9%
38 WITTER Catherine A. - 1% 8% 24% 36% 24% 6%
39 HANSEN Kira - - 2% 15% 41% 41%
40 WANG Trinity 2% 14% 33% 34% 15% 2%
41 HEPLER Sarah - 1% 8% 23% 34% 26% 8%
42 KUMAR Anusha 6% 23% 34% 25% 10% 2% -
43 SEREGIN Katya 1% 6% 22% 34% 27% 9% 1%
44 RICHARDSON Meredith 4% 20% 35% 28% 11% 2% -
45 MONTOYA Kimberlee C. - - 2% 11% 28% 38% 21%
46 HAFEEZ Hania - 1% 5% 23% 43% 28%
47 XU Celina 18% 40% 30% 10% 1% -
48 ZMURK Emma M. - - 2% 11% 30% 39% 19%
49 ZHU Riley 15% 36% 33% 14% 3% - -
50 CHEN Alicia 13% 34% 34% 16% 3% - -
51 ZHAO Alina 7% 27% 36% 23% 7% 1% -
52 GUJJA Misha 1% 8% 29% 37% 20% 5% -
52 WANG Victoria 4% 32% 39% 20% 5% 1% -
54 XIONG Angelica - 2% 11% 27% 34% 21% 5%
55 CHANG Celine A. 2% 13% 30% 32% 17% 4% -
56 QIU Emily 2% 14% 31% 31% 16% 4% -
57 BEAVER Hannah - 5% 18% 32% 29% 13% 2%
58 CANNING Charlotte 1% 7% 21% 33% 27% 11% 2%
59 BALAKRISHNAN Trisha 1% 8% 24% 36% 25% 7% 1%
60 WANG Sophie Y. 20% 45% 27% 7% 1% - -
61 FOELLMER Kristin - - < 1% 1% 9% 37% 53%
62 MYRAH Vivienne 4% 20% 35% 28% 11% 2% -
63 CHERNIS Zoe C. 1% 9% 29% 38% 20% 3%
64 NGUYEN Audrey 3% 17% 33% 31% 14% 2%
65 GEBALA Natalie Brooke A. - - 2% 14% 35% 36% 13%
66 MALLAVARPU saanvi - 4% 16% 31% 31% 15% 3%
67 KAUR Manroop 18% 38% 31% 11% 2% - -
68 DUNSEATH Lauren M. - 2% 10% 25% 34% 23% 6%
69 LAN Alice S. - - 3% 13% 33% 37% 14%
70 PINNAMANENI Drithi 1% 10% 27% 35% 21% 5% -
71 PULLEN Ayah 2% 14% 31% 33% 16% 3% -
72 CAMPBELL Anahit M. - 4% 19% 35% 29% 11% 2%
73 KANESHIGE Christina Y. - - 4% 21% 43% 31%
74 PRIHODKO Nina 1% 7% 25% 38% 24% 5%
75 SYKES Elynor 6% 25% 36% 24% 8% 1%
76 MANDAP Svetlanna 1% 10% 27% 34% 21% 6% 1%
77 WANG Ziqiao (Claire) 4% 18% 32% 29% 14% 3% -
78 SALISTRA Emilia 9% 30% 36% 20% 5% 1% -
79 WANG Angelina 1% 8% 24% 33% 24% 8% 1%
80 CHANG Chloe 13% 32% 33% 17% 5% 1% -
81 ETZEL Rowan 5% 21% 35% 27% 10% 2% -
81 PULLARA Ashley 12% 34% 34% 16% 4% - -
83 KALGAONKAR Arohi 24% 41% 26% 8% 1% - -
84 SHARMA Sanvi 9% 30% 36% 20% 5% 1% -
85 SENYUVA Su 2% 12% 29% 32% 19% 5% 1%
86 ENRILE Erica 4% 20% 35% 28% 11% 2% -
87 SCHULTZ Nomi 4% 29% 40% 22% 5% -
88 FERNLUND Helen 17% 39% 31% 11% 2% -
89 MCSWEENEY Janie 16% 36% 31% 13% 3% -
90 LIN Victoria T. 31% 43% 21% 5% - -
91 SAVNER Jessica L. - 1% 9% 26% 37% 22% 5%
92 LIANG Jingjing 1% 6% 21% 35% 27% 9% 1%
93 GORDON Rachel A. - 5% 20% 33% 28% 12% 2%
93 PANT Anisha 2% 14% 31% 33% 17% 4% -
95 KUKVA Taisiya 1% 8% 25% 35% 24% 7% 1%
96 HUANG Lanlan 4% 19% 35% 29% 11% 2% -
97 KENT Elizabeth J. 1% 9% 30% 37% 19% 4% -
98 LAI Amanda 2% 12% 28% 32% 19% 6% 1%
99 HILBY Olivia 31% 42% 21% 5% 1% - -
100 LI Fei 2% 12% 29% 34% 19% 4%
101 CAREY Michele S. - 9% 31% 38% 19% 3%
102 NELSON Grace E. 13% 38% 34% 13% 2% -
103 CAPELLUA Mariasole - 2% 9% 26% 36% 22% 5%
103 NOVOJILOV Anastasia 4% 22% 35% 27% 10% 2% -
105 MARTYNOVA Diana 2% 12% 28% 32% 20% 6% 1%
106 BROWN Amanda - 4% 16% 31% 31% 15% 3%
107 LANE Leah 4% 17% 32% 29% 14% 3% -
108 FREEMAN Kit 24% 40% 26% 9% 2% - -
109 SHELIN Chelsea 4% 19% 35% 29% 11% 2% -
110 REYNOLDS Elly 39% 44% 15% 2% - - -
111 PAN Angela 27% 42% 24% 6% 1% - -
112 WOLF Lisa A. 1% 7% 22% 34% 26% 9% 1%
113 DONGES Anna 3% 16% 33% 32% 14% 3% -
114 MISHIMA Audrey 10% 32% 35% 18% 5% 1% -
115 GUSKA Jenn 74% 23% 3% - - -
116 WEI Sherry 20% 39% 29% 10% 2% - -
117 RASMUSSEN Ashelee 1% 7% 23% 35% 25% 9% 1%
118 BOWIE Charlotta 4% 20% 37% 29% 10% 1%
119 CHENG Wanrong 72% 25% 3% - - - -
120 JAMES Ashley 41% 40% 16% 3% - - -
121 LORENTSON Dawn M. 1% 9% 27% 35% 21% 6% 1%
122 MCKENNA Analise 47% 38% 12% 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.