USA Fencing National Championships & July Challenge

Cadet Women's Saber

Wednesday, July 3, 2019 at 10:00 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 WILLIAMS Jadeyn E. - - - 1% 10% 37% 51%
2 KIM Zoe - - - 1% 11% 39% 48%
3 SKARBONKIEWICZ Magda - - - - 3% 24% 73%
3 OISHI Megumi - - - 5% 23% 44% 27%
5 TZOU Alexandra - - 1% 9% 29% 41% 21%
6 DUNGEY Amelia S. - - 2% 11% 32% 40% 16%
7 CHIN Erika J. - - 1% 9% 30% 41% 18%
8 POSSICK Lola P. - - - 1% 7% 35% 58%
9 GUTHIKONDA Nithya - - 1% 6% 24% 43% 26%
10 LEE Alexandra B. - - - 1% 9% 36% 53%
11 WILLIAMS Chloe C. - - 1% 4% 19% 41% 35%
12 TONG Kunling - - 1% 7% 26% 42% 24%
13 NAZLYMOV Tatiana F. - 2% 12% 27% 33% 20% 5%
14 TUCKER Iman R. 1% 7% 25% 37% 24% 6%
15 BOIS Adele 1% 7% 23% 35% 26% 7%
16 LI Victoria J. - 3% 14% 30% 32% 17% 3%
17 DI PERNA Chiara I. - - - - 1% 14% 85%
18 PAK Kaitlyn - - 1% 8% 27% 43% 22%
19 FOUR-GARCIA Madison - - 1% 8% 27% 42% 23%
20 CHANG Josephine S. - - 1% 9% 29% 41% 20%
21 WILSON Isley N. - 2% 11% 29% 36% 19% 3%
22 WIGGERS Susan Q. - 1% 5% 18% 34% 32% 11%
23 FLOREZ Melissa 1% 5% 19% 33% 28% 12% 2%
24 HULSEBURG Kaitlyn - 2% 10% 30% 39% 19%
25 FREEDMAN Janna N. - - 3% 19% 44% 33%
26 SATHYANATH Kailing - 1% 9% 25% 37% 24% 4%
27 WEBER Juliana I. - 6% 24% 38% 25% 7% -
28 NEWELL Alexia C. - 1% 9% 25% 35% 24% 6%
29 CHING Sapphira S. - 1% 7% 24% 38% 25% 6%
29 KALINICHENKO Alexandra (Sasha) - 4% 21% 37% 28% 8% 1%
31 KOBOZEVA Tamara V. - 3% 15% 34% 34% 12% 1%
32 FERRARI-BRIDGERS Marinella O. - 1% 10% 32% 37% 17% 3%
33 CHEEMA Sophia - 1% 7% 23% 36% 26% 7%
34 SULLIVAN Siobhan R. - - - 4% 17% 41% 38%
35 WU Cici - 10% 34% 37% 16% 2% < 1%
36 KATZ Anat 1% 10% 27% 35% 21% 5%
37 SHOMAN Jenna - - 1% 7% 26% 42% 24%
38 BEALE Zoe M. - 1% 5% 19% 35% 31% 10%
39 TAO Hannah J. - - 5% 23% 39% 26% 6%
40 CHIOLDI Mina - 2% 12% 28% 34% 20% 4%
41 LU Vivian Y. - - - 5% 22% 45% 28%
42 YANG Ashley M. - 2% 13% 31% 36% 16% 1%
43 GORMAN Victoria M. - 4% 16% 32% 31% 14% 2%
44 SCALAMONI-GOLDSTEIN Charlotte S. - 3% 14% 30% 32% 17% 4%
44 CHERNOMORSKY Maria - - 1% 7% 27% 43% 23%
46 TANG Annie L. - 3% 17% 35% 33% 11%
47 TIMOFEYEV Nicole - - 1% 9% 30% 42% 18%
48 SHIN Andrea Y. - 8% 26% 36% 23% 7% 1%
49 BUHAY Rachel T. - - 2% 13% 34% 37% 14%
50 ENGELMAN Madeline A. - - 4% 18% 38% 33% 7%
51 LI Amanda C. - 2% 14% 34% 34% 14% 2%
52 OXENSTIERNA Carolina - 4% 18% 36% 32% 10% -
53 DELSOIN Chelsea C. - 2% 10% 26% 34% 22% 6%
54 LACSON Sarah - 1% 6% 20% 34% 29% 10%
55 KONG Isabel - 2% 9% 25% 35% 23% 6%
56 DARINGA Arianna 1% 8% 26% 37% 23% 6% 1%
57 HURST Kennedy 34% 41% 20% 5% 1% - -
58 CASHMAN Natalie - 5% 18% 34% 32% 11%
59 CHANG Emily - 1% 10% 30% 38% 18% 3%
60 CHAN Audrey - 2% 13% 32% 35% 15% 2%
61 GIRARDI Aemilia 17% 43% 30% 9% 1% - -
62 CARVALHO Isabela A. - - - 5% 23% 45% 26%
63 REDDY Shreya - 1% 8% 23% 34% 26% 8%
64 LARIMER Katherine E. - 5% 25% 39% 24% 6% 1%
65 YONG Erika E. - 1% 9% 31% 42% 17%
66 BAKER Audrey C. 1% 7% 22% 34% 26% 9% 1%
67 YAP Madeline - - 3% 13% 31% 36% 16%
68 LIN Audrey J. - 2% 11% 30% 37% 18% 2%
69 VESTEL Mira B. - 1% 6% 24% 40% 26% 2%
70 CANNON Sophia E. 1% 6% 22% 35% 27% 9% 1%
71 KOO Samantha - 1% 7% 24% 37% 25% 5%
72 MOZHAEVA MARIA 1% 12% 36% 36% 14% 2%
73 D'ORAZIO Isabella 1% 9% 29% 37% 20% 4% -
74 LUKASHENKO Angelina - 3% 15% 33% 33% 15% 2%
75 SIMONIAN Olivia A. 2% 32% 42% 20% 4% - -
76 BLUM Leah I. - - 2% 11% 32% 39% 16%
77 XI Shining - 4% 20% 38% 29% 8% 1%
78 ANDRES Charmaine G. 5% 24% 36% 25% 8% 1% -
78 MARSEE Samantha - 3% 16% 36% 33% 12% 1%
80 FEARNS Zara A. - 6% 23% 36% 26% 8% 1%
81 ROGERS Pauline E. 10% 32% 35% 18% 5% 1% -
82 SUN Alyssa 14% 36% 33% 14% 3% - -
83 JULIEN Michelle 1% 6% 22% 35% 27% 9% 1%
84 LIGH Erenei J. 1% 11% 28% 34% 20% 6% 1%
85 BALMASEDA Sabrina F. 4% 19% 33% 28% 12% 3% -
86 MATAIEV Natalie S. 1% 9% 26% 36% 22% 5% -
86 LU Amy 25% 40% 26% 8% 2% - -
88 YANG Angelina 2% 15% 32% 33% 15% 3% -
89 ATLURI Sara V. - 3% 14% 31% 34% 16% 2%
89 ANDRES Katherine A. - 3% 14% 32% 34% 15% 2%
91 IQBAL Sulphia 21% 40% 28% 9% 1% - -
92 OLSEN Natalie J. 1% 6% 22% 35% 26% 8% 1%
93 PATEL Riya 2% 15% 35% 33% 13% 2% -
94 JIN Olivia P. 1% 9% 30% 37% 19% 4% -
95 ULIBARRI Nevaeh L. 11% 45% 34% 10% 1% - -
96 KIM Sujin 14% 36% 34% 14% 3% - -
97 SU Emma 9% 33% 36% 17% 4% - -
98 YUAN Greta 1% 8% 31% 37% 19% 4% -
99 BALAKUMARAN Maya 16% 36% 31% 13% 3% -
100 LIN Angela 6% 26% 37% 23% 7% 1%
101 KITTLE Lauren 75% 23% 2% - - -
102 WU Erica L. - 1% 7% 22% 34% 27% 8%
103 CALVERT Sarah-Jane E. 1% 6% 20% 33% 27% 11% 2%
104 ZINNI Kaylyn M. 1% 9% 27% 35% 21% 5% -
104 DHAR Aamina 12% 33% 35% 16% 4% - -
106 ZIELINSKI Isabella G. 1% 7% 24% 35% 25% 8% 1%
107 STONE Hava S. - 2% 16% 35% 33% 12% 2%
108 HOVERMAN Hannah A. 1% 8% 25% 34% 23% 7% 1%
108 WANG Elsabella Y. 5% 22% 34% 26% 10% 2% -
110 KALRA Himani V. - - 3% 16% 37% 35% 8%
111 GREENBAUM Ella K. - - 3% 15% 32% 35% 14%
111 SATHE Mehek S. 3% 18% 35% 30% 12% 2% -
113 BENOIT Adelaide L. - 5% 18% 33% 30% 12% 2%
114 CHIN Sophia J. - 2% 11% 27% 33% 21% 5%
115 TODD Phoebe 24% 41% 26% 8% 1% - -
115 BENTOLILA Thalia 32% 48% 17% 3% - - -
117 NYSTROM Sofia C. 18% 38% 30% 12% 2% - -
118 XU Ellen - 4% 16% 32% 32% 14% 2%
119 MERRIAM Katherine I. 3% 15% 31% 31% 16% 4% -
119 CODY Alexandra C. - 6% 27% 38% 22% 6% 1%
121 SADOVA Olga 1% 11% 30% 36% 18% 3% -
121 SINHA Anika 1% 11% 27% 33% 21% 7% 1%
121 CHIANG Emily 13% 35% 34% 15% 3% - -
121 LEVITIS Danielle 2% 14% 32% 33% 16% 3% -
125 ALFARACHE Gabriella C. 4% 22% 37% 26% 9% 2% -
126 SUN Jialing 45% 39% 13% 2% - - -
127 CALLAHAN Chase J. 4% 18% 34% 30% 13% 2%
128 KRYLOVA Valery 4% 20% 36% 28% 10% 2% -
129 KOLL-BRAVMANN Ryder S. 47% 42% 10% 1% - - -
130 SUBRAMANIAN Nitika 3% 33% 41% 19% 3% -
131 YUN Maya 5% 24% 37% 25% 8% 1%
132 NOVICK Mia J. 15% 36% 32% 14% 3% - -
132 FANG Victoria W. - 3% 19% 38% 30% 9% 1%
134 SCHIKORE Anna M. 2% 16% 44% 29% 8% 1% -
135 PRIEUR Lauren 3% 17% 32% 30% 14% 3% -
135 LIAO Siwen 1% 11% 30% 34% 18% 5% -
137 NEIBART Fiona 15% 35% 32% 14% 3% - -
138 WANG Jianning 22% 42% 27% 8% 1% - -
139 OWENS Celine A. 1% 9% 26% 36% 22% 6% 1%
140 MADA Skye 23% 51% 22% 3% - - -
140 DEPEW Charlotte R. 12% 34% 34% 16% 3% - -
142 YERRAMILLI Kavya 11% 32% 34% 17% 5% 1% -
143 HILD Nisha 2% 12% 31% 34% 17% 4% -
144 CHEN Xinyan 6% 26% 37% 23% 7% 1% -
145 SHI Cathleen 3% 17% 33% 30% 14% 3% -
146 JENKINS Scotland 21% 42% 27% 8% 1% - -
147 NI Sharon 5% 22% 36% 27% 9% 1% -
148 JAVERI Amaya 32% 43% 20% 4% - - -
149 BAKER Amelia M. 41% 41% 15% 2% - - -
150 ZHIZHIN Jeanette 67% 28% 4% - - - -
151 GRINBERG Aliya 18% 38% 30% 12% 2% - -
152 SHOMAN Miriam 1% 11% 35% 37% 14% 2%
153 FU Linqian (Helen) 11% 37% 35% 14% 2% - -
153 PANIGRAHI Sophia 21% 41% 28% 8% 1% - -
155 BHATTACHARJEE Rhea 6% 24% 35% 25% 8% 1%
156 BIAS Lailah N. 4% 28% 39% 23% 6% 1% -
157 PLONKA Kaley V. 15% 37% 33% 13% 2% - -
158 SLOBODSKY Sasha L. 31% 42% 21% 5% 1% -
159 WEI Vivian W. 3% 17% 35% 31% 12% 2% -
159 PANIGRAHI Kingsley 43% 43% 13% 2% - - -
159 LIGH Karis 63% 32% 5% - - - -
162 ENDO Miyuki N. 19% 38% 30% 11% 2% - -
162 LIN Selena 35% 42% 19% 4% - - -
164 SHANNON Sara 91% 9% - - - - -
164 HAN Lauren 35% 48% 15% 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.