The future of US Fencing is at stake!

For transparency, fairness, and athlete support, VOTE NOW for:
(1) Maria Panyi, (2) Andrey Geva, (3) Igor Chirashnya, and (4) Sue Moheb.

December SJCC + Division 1 NAC

Div I Women's Épée

Sunday, December 3, 2023 at 8:00 AM

Richmond, VA, USA

Probability density of pool victories

Reset

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 HUSISIAN Hadley N. - - - - 2% 22% 76%
2 NIXON Catherine (Kasia) D. - - - - 3% 28% 69%
3 XIAO Ruien - - 1% 6% 22% 41% 30%
3 PADHYE Tanishka - 1% 9% 27% 38% 22% 3%
5 PIRKOWSKI Amanda L. - - - - 5% 29% 66%
6 GUZZI VINCENTI Margherita A. - - - - 3% 23% 74%
7 GRADY Miriam A. - - - 1% 8% 38% 53%
8 CEBULA Anne - - - 1% 10% 38% 51%
9 TOBY Natalia R. - - - 1% 7% 35% 57%
10 BASSA Francesca A. - - - - 2% 20% 78%
11 BEZUGLAYA Varvara 5% 23% 37% 26% 8% 1%
12 HOLMES Katharine (Kat) W. - - - - 1% 14% 86%
13 SEBASTIAN Felicity A. - - 3% 14% 35% 37% 11%
14 ZIGALO Elizabeth - - 3% 14% 32% 35% 15%
15 YAMANAKA Mina - - 2% 13% 42% 43%
16 YIN Julia - 1% 5% 19% 35% 31% 10%
17 WANG Karen - - 1% 5% 21% 42% 32%
18 CHU Audrey - 1% 6% 24% 46% 24%
19 PARK Faith K. - - - 1% 11% 39% 48%
20 SHEFFIELD Lake Mawu - - - 3% 18% 42% 36%
21 ZUHARS Renee A. - - 3% 14% 35% 38% 10%
22 ZHANG Victoria R. - 1% 9% 27% 38% 22% 4%
23 NIXON Caroline (Karolina) L. - - 1% 7% 23% 41% 28%
24 TOLSMA Chloe (CJ) - 4% 18% 34% 31% 12% 1%
25 RATZLAFF Jocelyn T. - - 1% 7% 33% 50% 9%
26 RAKHOVSKI Alexandra - 2% 11% 28% 35% 20% 4%
27 WASHINGTON Isis - - - 5% 35% 60%
28 LEE REGINA 2% 17% 40% 31% 9% 1%
29 SPRINGER Sierra - 5% 19% 33% 29% 12% 2%
30 LEE Michelle J. - - 1% 12% 38% 42% 7%
31 YANG Alisa - 3% 14% 31% 33% 16% 3%
32 FENG Ge 2% 13% 31% 34% 17% 3% -
33 WU Fan - - 4% 17% 38% 33% 8%
34 DOROSHKEVICH Victoria - 1% 9% 30% 42% 16% 1%
35 LIU Charlene (Kai) - - - - 3% 26% 72%
36 LURYE Sarah - - 1% 10% 33% 43% 12%
37 MILEWSKI Nicole 1% 7% 27% 37% 22% 6% 1%
38 HAFEEZ Hania 2% 14% 32% 34% 16% 3%
39 LIN Elaine 3% 16% 35% 32% 12% 2%
40 SOBUS Yanka 11% 34% 36% 16% 3% -
41 LIN Jessica Y. - - - 3% 17% 42% 38%
42 BECKMAN Ana 1% 8% 29% 39% 19% 4% -
43 WANG Zoe 7% 28% 36% 22% 7% 1% -
44 XUAN Nicole J. - - 4% 19% 41% 33% 3%
45 RUNIONS Emersyn 1% 11% 33% 36% 16% 2% -
46 KETKAR Mallika - 1% 5% 19% 36% 31% 9%
47 KETKAR Ketki - - 3% 19% 45% 33%
48 KOMAR Sofia - - 6% 27% 46% 22%
49 LEE Natasha 2% 13% 32% 34% 16% 3%
50 SHIV Avni 7% 27% 38% 23% 5% -
51 KORFONTA Jolie - 2% 12% 32% 38% 16%
52 HAMILTON Pauline S. - 1% 5% 21% 40% 30% 3%
53 YU Nicole J. - 2% 11% 31% 37% 16% 2%
54 HONG Elaine - 4% 18% 34% 31% 11% 1%
55 ALEXANDROV Katherine S. - 5% 19% 34% 30% 11% 1%
56 WADE-CURRIE Ava S. - 1% 7% 24% 38% 26% 5%
56 HAFEEZ Hiba 6% 27% 37% 23% 6% 1% -
58 DESAI Meera P. - 5% 21% 38% 28% 8% 1%
59 REID Anousheh 1% 6% 22% 37% 27% 7% -
60 CALDERA Lexi I. - 5% 23% 40% 26% 6% -
61 CANNING Charlotte 4% 21% 36% 28% 10% 1% -
62 WITTER Catherine A. 2% 11% 28% 33% 20% 6% 1%
63 MUELLER Emma M. 1% 11% 34% 36% 15% 2% -
64 BASRALIAN Azniv 11% 32% 35% 18% 4% - -
65 TEMIRYAEV Anna M. - 3% 16% 36% 34% 11% -
65 DAMRATOSKI Anna Z. 1% 6% 21% 34% 27% 10% 1%
67 WATRALL Christina - - 3% 18% 45% 33%
68 WONG Alexandra R. 4% 21% 35% 28% 10% 2% -
69 CAFASSO Natalya 2% 12% 30% 34% 18% 4% -
70 WANG Ziqi (yoyo) - 4% 19% 36% 30% 10% 1%
71 WELLS Tesla M. - 5% 19% 33% 29% 12% 2%
72 KOWALSKY Rachel A. - - 3% 15% 39% 36% 7%
73 CHEN Lefu - 1% 6% 26% 44% 22% 2%
74 SHU Youshan 3% 16% 32% 31% 15% 3% -
75 LEE Olivia 1% 8% 24% 36% 24% 7% -
76 NEMETH Katherine 2% 14% 34% 35% 13% 2%
77 BARG Daniella 2% 15% 37% 36% 9% 1%
78 KHARCHYNA Polina - 3% 14% 34% 36% 12%
79 LEE Claire 12% 37% 36% 13% 1% -
80 O'DONNELL Amanda A. - - 5% 27% 51% 16%
81 QI Jarynne Valerie 2% 15% 33% 32% 15% 3% -
82 SMOTRITSKY Mia - 6% 24% 37% 25% 7% 1%
83 EDWARDS Auprell 2% 11% 28% 33% 20% 6% 1%
84 ZANGA Kaitlyn 6% 28% 39% 22% 4% - -
85 IYER Ishana 19% 41% 30% 9% 1% - -
85 CAMPBELL Eva 17% 47% 28% 7% 1% - -
87 AI Amy - 4% 16% 32% 32% 14% 2%
88 LI Zhenni (Jenny) 3% 18% 36% 30% 11% 2% -
89 HESS Heidi J. 5% 26% 39% 23% 6% 1% -
90 MUN Brianna K. 6% 27% 39% 22% 5% - -
91 KALE Anika A. - 4% 17% 33% 32% 12% 1%
92 CHANG Celine A. 20% 41% 29% 9% 1% -
93 RANDLEMAN Teresa 15% 37% 33% 13% 2% -
94 NIX Reagan 33% 42% 20% 4% - -
95 NGUYEN Tallulah - 1% 10% 32% 41% 14%
96 AZMEH nour 8% 30% 37% 20% 4% -
97 DORVAL Anne-Marie 1% 7% 29% 41% 20% 3%
98 ELSTON Sophia 22% 47% 26% 5% - -
99 KIM Zoe L. - 3% 14% 30% 32% 16% 3%
100 PEHLIVANI Zara - - 5% 23% 42% 26% 4%
101 JOYAL Anne-Sophie 1% 10% 27% 36% 21% 5% -
102 CARRIER Meredith 4% 22% 36% 27% 10% 1% -
103 SONG Angela - 3% 16% 34% 32% 13% 2%
104 GAO Judy 3% 17% 33% 30% 13% 3% -
105 LEE Yejine - 1% 9% 25% 35% 24% 6%
105 CAPELLUA Mariasole - 2% 15% 36% 34% 11% 1%
105 LI Fei 6% 25% 35% 24% 8% 1% -
108 KUMAR Anusha 18% 41% 31% 9% 1% - -
109 PHUKAN Indra 9% 30% 36% 20% 5% - -
110 BALAKRISHNAN Trisha 13% 40% 34% 11% 2% - -
111 LIN Victoria T. 36% 42% 18% 4% - - -
112 SUN MANRONG 8% 31% 37% 19% 4% - -
113 PRESMAN Aerin 20% 39% 29% 10% 2% - -
114 LIANG Jingjing 8% 31% 38% 19% 4% - -
115 LU Samantha R. 3% 15% 32% 32% 15% 3% -
116 PINNAMANENI Drithi 4% 22% 37% 27% 9% 1% -
117 MISHIMA Audrey 31% 41% 22% 5% 1% - -
118 ZHENG Linden 37% 43% 17% 3% - - -
119 GORNOVSKY Abigail 14% 36% 34% 14% 3% -
120 SHELIN Chelsea 9% 33% 39% 17% 2% -
121 RAUSCH Ariana (Ari) M. - 1% 7% 25% 42% 25%
121 CHISHOLM Phoebe C. 7% 27% 38% 22% 5% -
123 BEAVER Ava 18% 39% 31% 10% 1% -
124 PULLEN Ayah 28% 44% 23% 5% - -
125 GUJJA Misha 37% 45% 16% 2% - -
126 YOU Emily 8% 30% 38% 20% 4% -
127 SMUK Alexandra S. 1% 7% 26% 39% 23% 5% -
128 YAO Melinda 1% 7% 22% 36% 26% 8% 1%
129 PECK Maia A. 3% 16% 32% 31% 15% 3% -
130 PRIHODKO Nina 4% 21% 36% 28% 10% 1% -
131 QIU Emily 26% 41% 25% 7% 1% - -
132 ANDERSON Claire 9% 28% 35% 21% 6% 1% -
132 KOZLOWSKI Maya M. 1% 8% 26% 37% 23% 6% -
134 MCSWEENEY Janie 2% 13% 30% 33% 17% 4% -
135 NOVOJILOV Anastasia 16% 36% 31% 13% 3% - -
136 CHANG Chloe 46% 41% 11% 1% - - -
137 XIAO Nancy 4% 23% 40% 26% 6% 1% -
138 YAO KATHARINE 20% 45% 27% 7% 1% - -
139 CAMPBELL Anahit M. 2% 14% 35% 35% 13% 2% -
140 KORKIN Alice 5% 25% 40% 24% 5% - -
141 PEELER Julia 19% 38% 29% 11% 2% - -
142 SEMIKIN Julia - 2% 11% 30% 37% 18% 1%
142 CHERNIS Zoe C. 8% 28% 36% 21% 6% 1% -
144 FERREIRA DE MELO Adriana 3% 20% 38% 30% 8% 1% -
145 REKEDA Anna 35% 43% 19% 4% - - -
146 WANG Victoria 33% 44% 19% 3% - - -
146 NAKA Emily 29% 41% 23% 6% 1% - -
148 CHATIKHINE Anastasia 40% 42% 16% 3% - - -
149 YOU Isabel B. 38% 42% 17% 3% - - -
150 HUANG Lanlan 31% 45% 20% 4% - - -
151 LEE Camilla 25% 40% 25% 8% 1% - -
152 FURMAN Maria 9% 31% 38% 19% 4% -
153 WANG Elizabeth < 1% 1% 9% 28% 40% 21%
154 SHARMA Sanvi 18% 38% 30% 11% 2% - -
155 PATIL Amulya 24% 45% 24% 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.