National Championships & July Challenge (Summer Nationals)

Div II Women's Épée

Thursday, July 6, 2023 at 2:00 PM

Phoenix Convention Center - Phoenix, AZ, 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 AZMEH nour - 1% 6% 26% 46% 21%
2 WANG Zoe - 1% 5% 19% 35% 30% 10%
3 LEE Claire - 3% 15% 33% 35% 14%
3 LI Fei - 1% 6% 18% 33% 31% 12%
5 ZANGA Kaitlyn - 2% 12% 30% 35% 18% 3%
6 MUNOZ Andrea H. - - 2% 12% 31% 38% 16%
7 GAO Judy - - 1% 7% 26% 42% 23%
8 KUMAR Anusha 1% 6% 21% 36% 28% 8%
9 BALAKRISHNAN Trisha - 4% 17% 33% 30% 13% 2%
10 NGUYEN Audrey - - 1% 7% 26% 43% 23%
11 BROWN Hannah - 1% 7% 23% 36% 26% 7%
12 BOTNER Olivia - 1% 5% 18% 33% 32% 12%
13 DU Eiry - - 3% 17% 44% 37%
14 MCBRYAN Teresa N. - 1% 7% 29% 44% 19%
15 LANE Leah 6% 25% 37% 24% 7% 1%
16 HESS Heidi J. - 3% 17% 38% 33% 9%
17 MALLAVARPU Aarthi C. - - - 2% 15% 43% 40%
18 HEPLER Sarah - - 2% 9% 27% 39% 22%
19 SHAKIR Inaaya 1% 10% 25% 33% 22% 8% 1%
20 CHOI Grace - - - 4% 19% 42% 34%
21 SYKES Elynor - 1% 6% 20% 35% 30% 10%
22 WATTANAKIT Anda - 1% 6% 24% 42% 27%
23 DAYAL Saahira 9% 32% 37% 18% 4% -
24 SCHULTZ Gillian - - 2% 12% 31% 37% 17%
25 KOVALCHUK Erika S. 1% 9% 27% 36% 22% 6% 1%
26 FERNLUND Helen 2% 15% 34% 32% 14% 3% -
27 SEREGIN Katya 1% 7% 22% 33% 26% 10% 1%
28 OLORVIDA Isabella 1% 12% 30% 33% 18% 5% -
29 LURYE Lina - - 1% 8% 30% 44% 17%
30 LENDIS Gabrielle - 1% 8% 23% 35% 25% 7%
31 PULLEN Ayah 2% 11% 29% 34% 19% 5% -
32 CAREY Michele S. - 3% 14% 30% 32% 17% 4%
33 ABRAMSON Mariela R. - 3% 17% 36% 33% 10%
34 NICHOLS Amber - - 1% 5% 21% 42% 31%
35 WHITESIDES Ella K. - - 3% 13% 31% 37% 17%
36 CHANG Chloe 3% 18% 36% 31% 11% 1%
37 DAVIS Julia - 1% 9% 27% 41% 22%
38 MACEDON Gianna 8% 30% 39% 20% 4% -
39 COLELLA Lauren 8% 30% 36% 20% 5% 1% -
40 NOVOJILOV Anastasia - 2% 10% 27% 35% 21% 4%
41 TANG Sze Nga Nicole - 1% 9% 25% 36% 23% 5%
42 HILBY Olivia 17% 40% 32% 10% 1% - -
43 VASYAKIN Liana 1% 6% 21% 33% 27% 11% 2%
44 MIHILL Margaret 15% 36% 32% 13% 3% - -
45 LIANG Jingjing - 2% 10% 28% 35% 20% 4%
46 CHATIKHINE Anastasia 4% 22% 38% 27% 8% 1%
47 ECHEVERRY Sofia 1% 6% 21% 35% 29% 9%
48 TIMMONS Sarah J. - - 2% 12% 39% 47%
49 LEWIS Sophia - 2% 11% 31% 39% 17%
50 MYRAH Vivienne 2% 17% 36% 31% 12% 2%
51 BHATT Anisha 7% 25% 36% 24% 7% 1%
52 TAYLOR-CASAMAYOR Maia - - 3% 14% 32% 35% 15%
53 CAMPBELL Eva 1% 8% 25% 34% 23% 8% 1%
54 NGUYEN Ashley L. - 8% 27% 35% 22% 7% 1%
55 OPERARIO Abigail Z. - - 2% 11% 29% 38% 20%
56 NEELAM Neha - 2% 13% 32% 35% 16% 2%
57 JARUSHI Amnee - 5% 20% 36% 28% 9% 1%
58 ARAYE Nasro - - 4% 16% 34% 34% 12%
59 PINCHUK Meghan - 1% 6% 20% 35% 29% 9%
60 PRIMES Amanda M. - 2% 12% 29% 34% 19% 4%
61 HSIU Elizabeth 1% 8% 27% 37% 22% 4%
62 ZOU You yang (Yoyo) 1% 9% 26% 35% 22% 6% 1%
63 CHANG Abigail 2% 13% 31% 33% 17% 4% -
64 WHITLEY Alexis - 5% 19% 34% 29% 11% 2%
65 BROWN Riley - 2% 11% 31% 36% 17% 3%
66 HUANG Lanlan - - 4% 16% 33% 33% 13%
67 KALGAONKAR Arohi 3% 16% 31% 30% 16% 4% -
68 DUARTE-GARCIA Zoya A. - 4% 16% 30% 31% 16% 3%
69 CHANG Celine A. - 1% 5% 20% 36% 29% 9%
70 SHARMA Sanvi - - 5% 20% 37% 30% 8%
71 MEYER Rachel 5% 24% 36% 25% 8% 1% -
72 FRANCIS Elena 6% 21% 33% 26% 11% 2% -
73 MIINEA Elena - 6% 23% 35% 26% 9% 1%
73 YOU Joyce 2% 14% 30% 32% 17% 4% -
73 NOH Rachel 6% 23% 34% 25% 10% 2% -
76 SAUCEDO Grecia 1% 6% 21% 33% 27% 10% 2%
77 OLIVEIRA Giovanna 4% 18% 32% 28% 13% 3% -
78 DUONG Zoey - 2% 13% 30% 33% 18% 4%
79 CHAN Allison M. - 3% 13% 29% 33% 19% 4%
80 PAN Angela 3% 19% 36% 29% 11% 2% -
81 NAROTZKY Emma - 4% 17% 32% 30% 14% 2%
82 GAVASHELI Margarita 12% 34% 34% 16% 4% 1% -
82 LAI Amanda 2% 11% 27% 33% 20% 6% 1%
84 BOWIE Charlotta - 4% 18% 38% 33% 7%
85 SPURLIN Alicen - 1% 10% 31% 40% 18%
86 ZHUANG Lauren 22% 40% 28% 9% 1% -
87 BAWA Jenya 21% 42% 28% 8% 1% -
88 BENNETT Olivia 9% 33% 38% 16% 3% -
89 DANG Aria 12% 34% 35% 16% 3% -
90 TONG Lauren - 3% 12% 28% 33% 20% 4%
91 CARRIER Meredith - - 2% 10% 29% 39% 20%
92 YOU Isabel B. - 1% 8% 22% 35% 27% 8%
93 ROWLAND May - 2% 11% 28% 35% 20% 4%
94 HAYDEN Molly 1% 8% 23% 33% 25% 9% 1%
95 OPIELA Natalie 18% 38% 30% 11% 2% - -
96 MULAGARI Swarasai 4% 20% 35% 28% 11% 2% -
97 GUAN Isabella 1% 8% 24% 33% 24% 9% 1%
98 SAZONOVA Alexandra 8% 30% 36% 19% 5% 1% -
99 TAN Jocelyn - - 3% 14% 31% 35% 16%
100 KNUDSEN Ayda Jane 3% 21% 37% 27% 10% 2% -
101 SEUK Irene 2% 14% 35% 35% 12% 1%
102 DOUGLAS Marketa F. 1% 9% 26% 36% 23% 5%
103 WONG Caitlin 4% 22% 38% 27% 8% 1%
104 GARIKIPATI Thansi 12% 33% 34% 17% 4% -
105 LIN Victoria T. 11% 35% 36% 15% 2% -
106 DAVIS Jennifer 30% 42% 22% 5% 1% -
107 LI Charlotte - 4% 16% 30% 30% 15% 3%
108 BARG Margaret - 3% 13% 29% 33% 18% 4%
109 XU Celina 3% 17% 32% 30% 14% 3% -
110 MEYER Rebecca 10% 32% 37% 17% 3% - -
111 GULLY Wren 4% 20% 34% 28% 12% 3% -
112 HOLLAND Daisy 2% 13% 27% 31% 19% 6% 1%
113 GLATZ Alesia 10% 29% 34% 20% 6% 1% -
114 BEAMS Alyona - 2% 14% 31% 33% 17% 3%
115 ZAKAS Anna L. - 1% 7% 20% 33% 28% 10%
115 ENRILE Erica - 2% 11% 32% 38% 15% 2%
117 MAY Courtney 85% 14% 1% - - - -
118 MOYSTON Elizabeth 2% 13% 30% 33% 18% 5% 1%
119 LEWIS Rachel 3% 16% 33% 31% 14% 3% -
120 KAUR Jaap 18% 39% 30% 11% 2% - -
121 GUSKA Jenn 32% 42% 20% 5% 1% - -
122 FREY Alison 1% 6% 23% 38% 25% 6% 1%
123 SANLIKOL Suzan 7% 29% 38% 20% 5% 1% -
124 POON Desiree 8% 29% 37% 20% 5% -
125 PYE Emily 50% 38% 11% 1% - -
126 PARSONS Leada 5% 22% 35% 27% 10% 1%
127 LU Samantha R. - 1% 10% 30% 40% 19%
128 ZHAO Alina 2% 14% 31% 33% 17% 3%
129 FREEMAN Kate 12% 33% 35% 16% 3% -
130 QUINTANILLA Danielle A. 1% 14% 33% 32% 16% 4% -
131 HOOPER Lucy 12% 32% 33% 18% 5% 1% -
132 HEINRICHS Aaliyah 3% 16% 32% 30% 15% 4% -
133 GAVILANES Madyson 10% 34% 37% 16% 3% - -
134 BENNETT Vienne 31% 41% 21% 6% 1% - -
134 LORES Alicia - < 1% 4% 17% 37% 34% 8%
136 LEE Samantha X. - 3% 14% 31% 32% 16% 3%
136 HART Jenna 25% 40% 25% 8% 1% - -
138 KRISHNA Rithika 62% 32% 6% 1% - - -
139 PARKS Eliana 1% 10% 29% 34% 20% 6% 1%
140 MANAUGH Calliope 17% 40% 31% 10% 1% - -
140 LUCENA Giselle 4% 22% 37% 27% 9% 1% -
142 LOFTIS Hunter 31% 43% 21% 4% - - -
143 AGAON Evelyn 7% 26% 37% 23% 7% 1%
144 JAMES Ashley 25% 43% 26% 6% 1% -
145 REYNOLDS Elly 9% 29% 35% 20% 6% 1% -
146 HASIM Eurietta 17% 40% 32% 10% 1% -
147 ELKHATEEB Fajr 4% 17% 31% 29% 15% 4% -
148 MANCELL Hope 28% 42% 23% 6% 1% - -
149 NGUYEN Jolie T. < 1% 5% 19% 34% 28% 11% 2%
150 SINHA Zara 1% 12% 32% 35% 17% 3%
151 RALSTON Katherine 49% 38% 12% 2% - - -
152 ALVAREZ Martine 47% 39% 12% 2% - - -
153 AGUNWANI Ebele 37% 41% 18% 4% - - -
154 MISRA Tara 2% 12% 28% 32% 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.