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.

USA Fencing National Championships & July Challenge

Junior Women's Saber

Sunday, July 3, 2022 at 1:00 PM

Minneapolis, MN, 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 SULLIVAN Siobhan R. - - 1% 10% 39% 50%
2 PAK Kaitlyn - - - 2% 14% 41% 43%
3 SKARBONKIEWICZ Magda - - - - 2% 19% 80%
3 LU Vivian Y. - - - 1% 10% 37% 52%
5 POSSICK Lola P. - - - 3% 15% 41% 40%
6 LIU Sophie 1% 8% 27% 37% 22% 5%
7 KIM Zoe - - - 1% 7% 33% 60%
8 ENGELMAN-SANZ Madeline A. - - 2% 11% 30% 38% 18%
9 FREEDMAN Janna N. - - - 3% 16% 42% 39%
10 JOHNSON Honor - - - - 1% 16% 83%
11 SHOMAN Jenna - - - 1% 8% 35% 55%
12 CARVALHO Isabela A. - - 4% 22% 44% 30%
13 OLSEN Natalie J. - - 1% 10% 29% 40% 19%
14 LEE Hannah - 1% 10% 30% 38% 18% 2%
15 BEVACQUA Aria F. - - 5% 21% 38% 28% 7%
16 DHAR Aamina 10% 34% 37% 16% 3% -
17 ANTHONY Alexia B. - 1% 7% 26% 40% 22% 4%
18 LEE Alexandra B. - - - - 5% 29% 66%
19 DELSOIN Chelsea C. - - - 4% 20% 44% 32%
20 CHIN Erika J. - - - 4% 20% 43% 34%
21 CODY Alexandra C. - - 3% 17% 40% 35% 3%
22 NEWELL Alexia C. - - 4% 18% 36% 32% 10%
23 MARSEE Samantha - 1% 5% 20% 36% 29% 8%
24 MIKA Veronica - - 1% 5% 23% 43% 28%
25 WIGGERS Susan Q. - - 4% 19% 38% 31% 8%
25 SCHIMINOVICH Sophia I. - 2% 14% 35% 34% 13% 2%
27 TZOU Alexandra - - 3% 16% 42% 40%
28 OISHI Megumi - - 2% 13% 42% 43%
29 NI Sharon - 4% 20% 39% 30% 7%
30 GHAYALOD Reya - - 2% 12% 32% 39% 15%
31 NYSTROM Sofia C. 1% 9% 28% 36% 21% 5% -
32 GORMAN Victoria M. - 1% 6% 26% 43% 25%
33 LI Victoria J. - - 3% 16% 34% 34% 12%
34 ANDRES Katherine A. - - 2% 10% 29% 40% 20%
35 LU Amy 2% 14% 36% 35% 12% 1%
36 WILLIAMS Jadeyn E. - - - - 2% 23% 75%
37 SOURIMTO Valeria - 1% 9% 28% 39% 21% 2%
38 XIAO julie - 4% 22% 40% 27% 7% -
39 FEARNS Zara A. - 1% 7% 26% 40% 24% 2%
40 CAO Stephanie X. - - 1% 8% 27% 41% 23%
41 LI Amanda C. - - - 3% 18% 42% 36%
42 SUN Alyssa - 7% 25% 37% 24% 6% -
43 JULIEN Michelle - 3% 17% 39% 33% 7%
43 DUCKETT Madison - 3% 16% 37% 34% 9%
45 VADASZ Ibla P. - 2% 12% 35% 38% 14%
46 PEDRAZA Regina - 4% 22% 36% 27% 9% 1%
47 LACSON Sarah - 1% 5% 21% 37% 29% 7%
48 ALCEBAR Kayla - 2% 10% 28% 37% 20% 2%
48 YANG Angelina LeLe - 3% 17% 36% 32% 11% 1%
50 CHANG Audrey 1% 17% 39% 31% 11% 2% -
51 SHI Cathleen - 4% 16% 33% 32% 13% 1%
52 HILD Nisha - 2% 11% 30% 36% 18% 3%
53 HWANG Gabriela M. - 4% 20% 36% 29% 9% 1%
54 NATH Trisha 4% 23% 41% 25% 6% -
55 BOIS Adele - 1% 6% 25% 44% 25%
56 JEONG Katie 7% 32% 39% 18% 4% -
57 CHIANG Emily 2% 15% 35% 34% 12% 1%
58 CHRISTOTHOULOU Olympia C. 25% 45% 24% 5% - -
59 STONE Hava S. - - 3% 16% 38% 35% 8%
59 CHIN Sophia J. - 1% 6% 24% 39% 25% 5%
61 JOHNSON Lydia 3% 18% 35% 30% 12% 2% -
62 JUNG Irene - 3% 16% 36% 33% 12% 1%
63 CHEN Ashley 1% 7% 27% 39% 22% 4% -
64 LIN Audrey J. - 2% 12% 32% 38% 16%
65 CHEN Xiaohan - - 1% 9% 29% 42% 18%
66 TAO Hannah J. - - 3% 14% 35% 37% 11%
67 ERIKSON Kira R. 3% 20% 39% 29% 8% 1%
68 ANDRES Charmaine G. - 1% 6% 25% 44% 24%
69 ZIELINSKI Isabella G. 1% 11% 31% 36% 18% 3%
70 ALFARACHE Gabriella C. 3% 18% 35% 30% 11% 2% -
71 BLUM Leah I. - - 2% 13% 33% 37% 15%
72 BUHAY Rachel T. - 5% 20% 36% 29% 9% 1%
73 PAUL Lila - 1% 7% 23% 36% 26% 7%
74 BARNOVITZ Maya - 10% 33% 37% 17% 3% -
75 KIM Marley I. - 2% 15% 36% 35% 11% -
76 DANK Dina - 1% 9% 28% 38% 21% 3%
77 LU Elaine - 1% 9% 28% 39% 21% 2%
78 NATHANSON Sammy E. - 3% 16% 36% 33% 12% 1%
79 NEIBART Fiona 1% 8% 28% 37% 21% 5% -
80 HE Charlotte - - 5% 21% 39% 30% 5%
81 BALAKUMARAN Maya - 1% 8% 28% 38% 21% 4%
82 SATHE Mehek S. 2% 13% 32% 33% 16% 3% -
83 YANG Ashley M. 1% 7% 27% 40% 21% 3%
84 KER Grace 1% 7% 27% 40% 22% 3%
85 ULIBARRI Nevaeh L. 6% 28% 39% 21% 5% -
86 SHEARER Natalie E. 1% 7% 26% 39% 22% 4%
87 FESTA Carina 8% 32% 37% 18% 4% -
88 ZHENG Valentina 24% 46% 24% 5% - -
89 XI Shining - - 5% 21% 39% 30% 6%
90 CALLAHAN Chase J. - - 4% 20% 38% 31% 8%
91 LI Angela 19% 38% 30% 11% 2% - -
92 SADIK HANA - 2% 12% 31% 36% 16% 2%
93 ENDO Miyuki N. - 5% 22% 39% 27% 7% -
93 TONG Jessie 1% 10% 29% 36% 19% 4% -
95 TONG Kunling - - - 1% 11% 40% 47%
96 HUNG Anna 2% 11% 29% 34% 19% 4% -
97 MULAGARI Sadhika 21% 41% 28% 8% 1% - -
98 FANG Victoria W. - 2% 11% 30% 36% 18% 3%
99 LEE Lauren 17% 39% 31% 11% 2% - -
100 DILLE Carolina G. 2% 19% 38% 30% 10% 1% -
101 XIKES Katherine E. - 3% 19% 37% 30% 10% 1%
102 SCALAMONI-GOLDSTEIN Charlotte S. - 1% 8% 25% 37% 24% 5%
103 YANG Lea 3% 20% 37% 29% 10% 1% -
104 CHIN Elise 5% 23% 37% 26% 8% 1% -
104 NGUYEN Ella 3% 19% 35% 29% 11% 2% -
106 YOUNG Audrey 8% 43% 35% 12% 2% - -
107 KANTIPUDI Shrika 2% 16% 39% 32% 11% 1% -
108 TABANGAY Heartlyn 3% 20% 39% 29% 9% 1%
109 LEE Sophia 4% 22% 38% 28% 8% 1%
110 YUAN Greta 1% 8% 28% 39% 21% 3%
111 MARYASH Samantha 12% 36% 36% 14% 2% -
112 SZETO Chloe - 1% 9% 31% 42% 17%
113 JOHNSON Lauren - 1% 11% 34% 40% 12%
114 LUKASHENKO Angelina 3% 19% 39% 30% 9% 1%
115 LIGH Erenei J. 1% 9% 27% 36% 21% 6% 1%
116 DAVIS Jayna M. 2% 19% 37% 30% 11% 2% -
116 WEI Vivian W. - 4% 21% 38% 28% 9% 1%
118 ZENG Megan 3% 30% 41% 21% 5% - -
119 SATHYANATH Kailing - 1% 7% 23% 36% 26% 7%
119 BILILIES Sophia - 7% 26% 37% 23% 6% 1%
121 MCKEE Brynnley - 9% 32% 37% 17% 3% -
122 LIAO Siwen 2% 13% 31% 34% 17% 4% -
123 KRASTEV Minna - - 5% 20% 38% 31% 6%
124 ATLURI Sara V. 1% 7% 27% 38% 23% 5% -
125 GRAFF Sophie 3% 17% 35% 31% 12% 2% -
126 LEMUS-IAKOVIDOU ALEXANDRA 2% 17% 38% 31% 10% 1% -
127 NGUYEN Siena 4% 20% 35% 28% 11% 2% -
128 WU Helen 1% 12% 33% 35% 16% 3% -
129 GUTHIKONDA Nithya - 1% 8% 30% 44% 17%
130 FOUR-GARCIA Madison - - 2% 15% 43% 40%
131 HOLMES Emma 2% 19% 37% 29% 11% 2% -
132 SINHA Anika - 8% 29% 38% 20% 4% -
133 KHAN Alissa 2% 14% 33% 34% 15% 3% -
134 ZHANG Victoria 12% 35% 34% 16% 3% - -
135 INMAN Kaitlyn 87% 13% 1% - - - -
136 SUBRAMANIAN Nitika 1% 7% 24% 36% 24% 7% 1%
137 SCHICK Veronica 17% 39% 31% 11% 2% - -
138 HU Michelle 2% 26% 40% 24% 7% 1% -
139 HSU Mia Y. 18% 40% 30% 10% 2% - -
140 YEN Natalie 30% 46% 20% 4% - - -
141 SIDDIQUI Reem 5% 40% 38% 14% 2% - -
142 LUKER Sophia 2% 15% 37% 33% 12% 1%
143 JEAN Olympe G. 13% 39% 34% 12% 2% -
144 BAKER Amelia M. 32% 45% 19% 3% - -
145 GREENBAUM Ella K. - 3% 15% 35% 35% 12%
146 SLOBODSKY Sasha L. 29% 45% 22% 4% - -
147 LIU Yifei 33% 43% 20% 4% - -
148 BAKER Audrey C. - 7% 28% 38% 21% 5% -
149 YERRAMILLI Kavya - 5% 29% 39% 21% 5% -
150 PRIEUR Lauren - 2% 10% 29% 37% 19% 3%
151 SOWERS Lia 35% 42% 19% 4% - - -
151 HUANG Madeline 6% 27% 38% 22% 6% 1% -
153 PANIGRAHI Kingsley 9% 41% 36% 12% 2% - -
154 CHIANG Melissa 31% 42% 22% 5% 1% - -
155 RAMIREZ Mirka A. 1% 27% 42% 24% 6% 1% -
156 ELNATAN Mica A. 5% 57% 31% 6% 1% - -
157 BENOIT Adelaide L. 1% 10% 30% 36% 19% 4% -
158 NOVICK Mia J. 3% 18% 35% 30% 12% 2% -
159 FREY Sarah E. 52% 37% 10% 1% - - -
160 HENRY Soraya S. 31% 43% 21% 5% - -
160 ISBERG Natalie 21% 43% 28% 7% 1% -
162 OBRADOVIC Ana 22% 43% 27% 7% 1% -
162 CHO Michelle 45% 40% 13% 2% - -
164 WANG Zidan 4% 20% 36% 29% 10% 1% -
165 MANN Sophia J. 7% 33% 39% 18% 3% - -
166 SIMONIAN Olivia A. 31% 44% 21% 4% - -
167 IYER Arushi 76% 22% 2% - - - -
167 ZHANG Chenfei 17% 39% 31% 11% 2% - -
169 RODGERS Rachel 80% 18% 1% - - - -
170 SHEN Jamie 23% 42% 27% 8% 1% - -
170 FANG sophie 30% 46% 20% 4% - - -
170 GONTARSKI Rachel 61% 33% 6% - - - -
173 CHEN Celina Z. 7% 27% 36% 22% 6% 1% -
174 ZHIZHIN Jeanette 50% 38% 11% 1% - -
175 KELLY Ella 94% 6% - - - - -
176 TUNG Renee 32% 44% 20% 4% - - -
176 LIN Grace 86% 13% 1% - - - -
176 LIN Lauren 67% 28% 4% - - - -
176 WUNNAVA Elina 47% 39% 12% 2% - - -
176 SAWANT Asmi 78% 20% 2% - - - -
181 GOSAVI Aabolee 70% 27% 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.