January NAC

Junior Women's Saber

Saturday, January 4, 2020 at 8:00 AM

Charlotte, NC - Charlotte, NC, 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 ANGLADE Alexis C. - - - 2% 14% 41% 42%
2 TARTAKOVSKY Elizabeth - - - 2% 13% 41% 44%
3 FOX-GITOMER Chloe N. - - - - 2% 24% 74%
3 JENKINS Ryan J. - - - 3% 16% 41% 40%
5 HOFFMAN Ilsa L. - - 2% 13% 33% 38% 13%
6 SKARBONKIEWICZ Magda - - - 3% 16% 42% 40%
7 KONG Vera - - 3% 13% 30% 36% 17%
8 DI PERNA Chiara I. - - - 1% 10% 40% 49%
9 KIM Zoe - - 1% 9% 27% 40% 22%
10 GOUHIN Chloe - - - 3% 17% 41% 38%
11 HARRISON Imogen N. - - 2% 13% 33% 37% 14%
12 PAK Kaitlyn - 1% 10% 28% 36% 21% 4%
13 LINDER Kara E. - - - 3% 15% 40% 42%
14 GREENBAUM Atara R. - 1% 7% 23% 35% 26% 7%
15 PARKER Abigale B. - 2% 9% 26% 36% 22% 4%
16 THEODORE Maria A. - - 1% 6% 24% 43% 26%
17 MOYA Keona L. - - 3% 13% 32% 37% 15%
18 JOHNSON Honor B. - - - - 3% 26% 71%
19 SECK Chejsa-Kaili F. - 1% 5% 19% 38% 32% 5%
20 LIANG Megan - - 1% 7% 24% 42% 27%
21 SHEALY Maggie - - 3% 15% 37% 35% 10%
22 TANG Annie L. - 1% 9% 27% 36% 21% 4%
23 HARRILL Gillian N. - 1% 5% 22% 43% 30%
24 SWALLOW Abigail R. 16% 38% 32% 12% 2% -
25 CHIN Erika J. - 1% 6% 19% 34% 30% 10%
26 MARSEE Samantha 3% 20% 38% 28% 9% 1% -
27 FOUR-GARCIA Madison - - 2% 13% 34% 39% 12%
28 SHEA Erin - 4% 18% 33% 30% 13% 2%
29 CHAN Casey - - 1% 8% 30% 46% 16%
29 KUDRIAVTSEVA Daria - - 4% 19% 39% 31% 8%
31 LEE Alexandra B. - - 2% 11% 29% 38% 19%
32 HANADARI-LEVY Amit - 3% 15% 32% 33% 15% 2%
33 KOVACS Sophia - 1% 8% 24% 37% 25% 5%
34 JOHNSON Edith (Tori) V. - - - 4% 20% 43% 33%
35 GUTHIKONDA Nithya - - 3% 15% 35% 35% 11%
36 WILLIAMS Chloe C. - 3% 16% 35% 34% 11%
37 YUN Joy - - 2% 11% 30% 38% 18%
38 MILLER Sky - - - 3% 16% 41% 39%
39 WEBER Juliana I. 1% 8% 25% 35% 23% 7% 1%
40 TZOU Alexandra - 2% 13% 32% 35% 16% 2%
41 KOO Samantha 6% 23% 34% 25% 9% 2% -
42 LU Vivian Y. - 3% 15% 36% 35% 11%
43 STRZALKOWSKI Aleksandra (Ola) M. - - 1% 8% 26% 41% 24%
44 FLOREZ Melissa 2% 13% 31% 34% 17% 4% -
45 SATHYANATH Kailing 3% 17% 32% 30% 14% 3% -
46 TIMOFEYEV Daniella - - 1% 7% 24% 41% 26%
47 WEINBERG Alexandra L. - 1% 7% 23% 37% 26% 6%
48 POSSICK Lola P. - - 4% 17% 36% 33% 11%
49 ANDRES Katherine A. - 6% 24% 37% 25% 7% 1%
50 TONG Kunling - 2% 13% 31% 35% 17% 2%
51 VAN ATTA Grace Y. 11% 33% 35% 17% 3% -
52 GORMAN Alexandra C. - 1% 7% 22% 35% 27% 8%
53 OISHI Megumi - 1% 7% 24% 37% 25% 6%
54 CHANG Josephine S. - 5% 22% 37% 27% 8% 1%
55 NAZLYMOV Tatiana F. - 4% 17% 34% 31% 12% 2%
56 KUZNETSOVA Nastassja 2% 14% 32% 34% 16% 2% -
57 HE Charlotte 1% 9% 30% 36% 19% 4% -
58 WHANG Rebecca - 1% 8% 23% 35% 25% 7%
59 ROH Rachel E. - 5% 22% 38% 28% 7% 1%
60 LACSON Sarah 1% 6% 21% 36% 27% 9% 1%
61 ATLURI Sara V. - 8% 28% 36% 21% 6% -
62 SHOMAN Jenna 1% 6% 23% 38% 26% 6%
63 HIRSCH Sydney R. - 1% 5% 22% 42% 30%
64 KALINICHENKO Alexandra (Sasha) 8% 37% 36% 15% 3% - -
65 BOIS Adele 1% 6% 22% 36% 26% 9% 1%
66 WILLIAMS Jadeyn E. - - 1% 5% 22% 42% 30%
67 HOOGENDOORN Sterre 1% 6% 21% 35% 27% 10% 1%
68 TIMOFEYEV Nicole - 1% 7% 23% 37% 25% 6%
69 WIGGERS Susan Q. 1% 8% 25% 34% 23% 8% 1%
70 GREENBAUM Ella K. - 2% 14% 34% 34% 14% 2%
71 TUCKER Iman R. 3% 15% 31% 31% 16% 4% -
72 CHING Sapphira S. 2% 12% 29% 33% 19% 5% 1%
73 CHANG Emily 3% 18% 36% 30% 11% 2% -
74 KALRA Himani V. 1% 16% 37% 32% 12% 1% -
75 CAO Stephanie X. - 3% 14% 31% 34% 16% 3%
76 GORMAN Victoria M. 5% 26% 38% 23% 7% 1% -
77 LIN Audrey J. 2% 14% 33% 33% 15% 3% -
78 JULIEN Michelle 3% 15% 32% 32% 15% 3% -
79 GORMLEY Arwen E. 2% 13% 31% 33% 17% 3% -
80 MIKA Veronica 2% 11% 27% 33% 20% 6% 1%
81 CHAN Audrey 1% 10% 30% 37% 18% 4% -
82 BHATTACHARJEE Rhea 5% 27% 39% 23% 6% 1% -
83 BERMAN Stella 2% 14% 32% 34% 16% 3%
84 BLUM Leah I. - 2% 12% 29% 34% 18% 3%
85 SULLIVAN Siobhan R. - - 3% 17% 37% 33% 9%
86 KOBOZEVA Tamara V. 5% 20% 34% 28% 11% 2% -
87 PINCUS Lucy Y. 3% 17% 34% 31% 13% 3% -
87 DOHERTY Maverick L. - - 4% 16% 34% 34% 12%
89 YUN Maya 3% 22% 38% 27% 8% 1% -
90 KATZ Anat 1% 9% 29% 37% 20% 4% -
91 NEIBART Fiona 8% 29% 36% 21% 6% 1% -
92 LI Victoria J. 3% 19% 36% 29% 11% 2% -
93 TURNER Zoe Y. - 1% 7% 22% 37% 28% 6%
94 TAO Hannah J. 1% 9% 27% 34% 21% 6% 1%
95 STONE Hava S. 1% 11% 29% 34% 19% 5% 1%
96 DODRILL Brooke 23% 43% 26% 7% 1% - -
97 VALADEZ Emily T. 4% 21% 36% 27% 10% 2% -
98 HAN Jeanette X. 2% 13% 31% 33% 17% 3% -
99 WALTER Zsofia R. 2% 13% 30% 33% 17% 4% -
99 HOOGENDOORN Levi 3% 16% 33% 31% 14% 2% -
101 LU Amy 9% 32% 37% 17% 4% - -
102 CHEN Xinyan 8% 27% 36% 23% 7% 1% -
103 SCALAMONI-GOLDSTEIN Charlotte S. 3% 15% 32% 31% 15% 3% -
104 SCHMITT Alana P. 3% 16% 33% 32% 14% 2% -
105 HONE Katarina G. - 3% 16% 35% 33% 12% 1%
106 SHAY-TANNAS Zoe 7% 26% 36% 23% 7% 1% -
107 KIM Catherine - 3% 15% 34% 34% 13% 2%
108 PRIESTLEY Catherine (Cate) C. - 6% 23% 37% 26% 8% 1%
109 ZEGERS Anneke E. - - 2% 12% 33% 40% 12%
110 MORALES Jessica Y. - - 2% 12% 35% 43% 8%
111 TANG Catherine H. 1% 9% 26% 35% 22% 6% 1%
111 LIAO Siwen 26% 42% 25% 7% 1% - -
113 LU Yi Lin 7% 25% 36% 24% 7% 1% -
114 WITEK Sophie B. - 4% 15% 31% 31% 16% 3%
115 CARVALHO Isabela A. - 2% 11% 29% 36% 19% 3%
116 RHIE Lena 23% 43% 26% 7% 1% - -
117 ZIELINSKI Isabella G. 1% 18% 37% 30% 11% 2% -
118 OLSEN Natalie J. 2% 12% 29% 33% 18% 5% -
119 BROWN Emma 1% 9% 27% 36% 22% 6% -
120 BUCHMANN Vivien 1% 6% 23% 36% 26% 7% 1%
121 BAE EMMELINE 9% 28% 36% 21% 6% 1% -
122 HILADO Sarah 1% 8% 27% 37% 22% 5% -
123 ANDRES Charmaine G. 13% 33% 33% 16% 4% 1% -
124 EDGINGTON Grace 1% 9% 26% 34% 22% 6% 1%
125 REDDY Shreya 7% 27% 37% 22% 6% 1%
126 PINCUS Emma Y. 14% 36% 33% 14% 2% -
127 WU Erica L. 8% 30% 38% 20% 4% -
128 DHAR Aamina 40% 41% 16% 3% - - -
129 MENKE Kavya I. 6% 30% 39% 20% 5% 1% -
130 BENOIT Adelaide L. 6% 27% 37% 22% 6% 1% -
130 HOVERMAN Hannah A. 21% 39% 28% 10% 2% - -
132 FREEDMAN Janna N. - 2% 10% 26% 34% 22% 5%
133 YURT Leyla 9% 32% 38% 18% 4% - -
133 BOURGEOIS audreane 27% 41% 24% 7% 1% - -
135 DANAHY Ellen D. 6% 25% 36% 24% 8% 1% -
136 MANUBAG Amanda R. 9% 29% 35% 21% 6% 1% -
137 MATAIEV Natalie S. 9% 32% 36% 18% 4% - -
138 CHIANG Emily 28% 40% 24% 7% 1% - -
139 TURNOF Kayla M. 8% 27% 35% 22% 7% 1% -
140 ROBINSON Stella 32% 42% 21% 5% 1% - -
141 DARINGA Arianna 9% 34% 37% 17% 3% - -
142 SHIN Andrea Y. 3% 19% 35% 29% 11% 2% -
143 NYSTROM Sofia C. 18% 38% 30% 12% 2% - -
144 YANG Kaitlyn H. 11% 32% 35% 18% 4% 1% -
145 DELSOIN Chelsea C. 1% 11% 31% 35% 18% 4% -
145 NG Sarah W. 56% 35% 8% 1% - - -
145 SHOMAN Miriam 6% 26% 37% 23% 7% 1% -
148 SCHIKORE Anna M. 66% 29% 5% - - - -
149 CANSECO Laura K. 17% 39% 32% 11% 2% -
150 CHEN Chloe Y. 14% 35% 33% 14% 3% - -
151 ABOUDAHER Janna A. 12% 33% 34% 17% 4% - -
152 LIU Rachel 3% 15% 31% 31% 16% 4% -
152 BILILIES Sophia 46% 39% 12% 2% - - -
154 RODGERS Sally E. 31% 43% 21% 4% - - -
155 HAYES Grace Y. 38% 42% 17% 3% - - -
156 SHI Cathleen 39% 41% 16% 3% - - -
157 BOLTON Eleksi M. 63% 31% 6% - - - -
157 MERCHANT MeiLiu 81% 18% 2% - - - -
159 SOUANE Oumy 33% 43% 19% 4% - - -

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.