October NAC

Cadet Women's Saber

Monday, November 1, 2021 at 8:00 AM

America's Center Convention Complex - St. Louis, MO, 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 SKARBONKIEWICZ Magda - - - - 1% 13% 87%
2 LEE Alexandra B. - - - 5% 29% 66%
3 POSSICK Lola P. - - - - 5% 31% 63%
3 ANDRES Katherine A. - - 1% 8% 26% 41% 25%
5 SHOMAN Jenna - - - 1% 10% 37% 51%
6 ENGELMAN-SANZ Madeline A. - - 1% 6% 22% 42% 30%
7 LI Amanda C. - - - 2% 15% 42% 40%
8 GORMAN Victoria M. - - 5% 19% 35% 31% 10%
9 YANG Ashley M. - - 1% 7% 29% 48% 16%
10 DUCKETT Madison - 1% 9% 25% 35% 24% 6%
11 YUAN Greta - 4% 16% 30% 31% 15% 3%
12 KRASTEV Minna - - 5% 21% 38% 29% 7%
13 HILD Nisha - - 3% 16% 37% 34% 9%
14 SZETO Chloe - 1% 7% 27% 42% 23%
15 CALLAHAN Chase J. - - 3% 14% 33% 36% 14%
16 WIGGERS Susan Q. - 1% 7% 26% 44% 23%
17 KER Grace - - 1% 6% 23% 43% 28%
18 ANDRES Charmaine G. - - 3% 13% 31% 37% 16%
19 MARSEE Samantha - - 3% 12% 29% 37% 19%
20 JULIEN Michelle - - 1% 6% 24% 42% 27%
21 DELSOIN Chelsea C. - - - 1% 8% 39% 53%
22 LIN Audrey J. - - 5% 21% 38% 28% 7%
23 SULLIVAN Siobhan R. - - - - 4% 26% 70%
24 NYSTROM Sofia C. 2% 16% 36% 33% 12% 1%
25 MIKA Veronica - - 3% 13% 33% 36% 15%
26 BLUM Leah I. - - - 2% 15% 41% 41%
26 BOIS Adele - - 3% 12% 30% 38% 17%
28 SHI Cathleen - 2% 15% 36% 35% 12% 1%
29 JUNG Irene - 1% 10% 29% 38% 20% 2%
30 FANG Victoria W. - 1% 10% 29% 37% 19% 3%
31 VADASZ Ibla P. - 1% 8% 24% 36% 25% 6%
32 LIU Sophie 1% 8% 23% 33% 25% 9% 1%
33 CHIOLDI Mina - 1% 6% 24% 44% 26%
34 LEE Sophia 1% 9% 29% 36% 20% 5% -
35 ALFARACHE Gabriella C. 1% 11% 29% 34% 19% 4% -
36 PAUL Lila - - 2% 14% 37% 39% 8%
36 LU Amy - 2% 10% 28% 37% 20% 3%
38 DANK Dina - 2% 12% 29% 34% 18% 4%
39 CODY Alexandra C. - 3% 16% 37% 34% 10%
40 BALAKUMARAN Maya - 2% 9% 27% 37% 22% 4%
41 FREEDMAN Janna N. - - 1% 6% 22% 41% 30%
42 LUKER Sophia - 2% 13% 35% 37% 12% 1%
43 BEVACQUA Aria F. - 1% 9% 26% 36% 22% 5%
44 HWANG Gabriela M. 1% 6% 22% 35% 26% 9% 1%
45 SCALAMONI-GOLDSTEIN Charlotte S. - - 4% 18% 37% 33% 8%
46 HOLMES Emma 4% 23% 39% 27% 7% -
47 SUBRAMANIAN Nitika - 4% 16% 33% 31% 14% 2%
48 CHEN Xinyan 1% 8% 24% 34% 24% 8% 1%
49 SADOVA Olga - 7% 28% 40% 21% 4% -
50 TSE Angelina - 2% 13% 31% 34% 17% 3%
51 ERIKSON Kira R. - 5% 22% 37% 26% 8% 1%
52 YANG Lea 6% 27% 38% 22% 6% 1% -
53 NATH Trisha 1% 9% 29% 36% 20% 5% -
54 SCHIMINOVICH Sophia I. 1% 9% 27% 35% 21% 6% -
54 TABANGAY Heartlyn 1% 6% 21% 35% 27% 9% 1%
56 LEE Hannah - 3% 16% 32% 32% 14% 2%
57 TSUI Natalie 2% 11% 27% 32% 20% 6% 1%
58 KIM Marley I. 1% 13% 33% 36% 15% 1%
59 LU Elaine 1% 10% 30% 38% 18% 3%
60 XIAO julie 8% 31% 38% 19% 4% -
61 NATHANSON Sammy E. - 1% 6% 23% 41% 27% 2%
62 GRAFF Sophie 2% 13% 30% 32% 18% 5% -
63 PENG Florella 5% 22% 34% 26% 10% 2% -
64 SO Catelyn 4% 20% 36% 28% 11% 2% -
65 GOMERMAN Sophia 10% 30% 35% 19% 5% 1% -
66 CHIN Elise 4% 21% 36% 28% 10% 1% -
67 LIGH Erenei J. 1% 7% 23% 34% 25% 9% 1%
68 ENDO Miyuki N. 1% 6% 19% 33% 29% 11% 2%
69 BUHAY Rachel T. - 1% 6% 22% 36% 28% 7%
70 WU Helen 1% 8% 25% 35% 23% 7% 1%
71 BARNOVITZ Maya 6% 23% 36% 26% 9% 1% -
72 PRIEUR Lauren - 1% 10% 32% 36% 17% 3%
73 ANTHONY Alexia B. - 2% 13% 32% 35% 15% 1%
74 MAKLIN Sofia 10% 29% 34% 20% 6% 1% -
75 HURST Kennedy 1% 6% 20% 32% 28% 12% 2%
76 MCKEE Ainsley 9% 29% 35% 20% 6% 1% -
77 ZOLLER Noelle 18% 38% 31% 11% 2% - -
78 ZHANG Sophie 6% 26% 37% 24% 7% 1% -
79 LOPEZ-ONA Mia 18% 39% 30% 11% 2% - -
80 HE Lizbeth - 5% 24% 39% 26% 6% -
81 GHAYALOD reya - 5% 25% 39% 25% 5%
82 ALCEBAR Kayla - 6% 25% 39% 25% 5%
83 FESTA Carina 9% 33% 37% 17% 3% -
84 NAYAK Esha 42% 44% 13% 2% - -
85 CHIANG Emily 1% 10% 28% 35% 20% 5% -
86 MARYASH Samantha 1% 14% 37% 33% 12% 2% -
86 LIU Sydney 17% 38% 31% 12% 2% - -
86 KHAN Alissa 2% 19% 41% 28% 8% 1% -
89 GRULICH Rayaana 4% 32% 40% 19% 4% - -
89 WEI Vivian W. - 2% 12% 31% 38% 16% 1%
89 NGUYEN Ella 2% 14% 32% 32% 16% 3% -
92 HUNG Anna 2% 13% 30% 33% 18% 5% -
93 JENKINS Scotland 1% 17% 40% 32% 10% 1% -
94 CHANG Audrey 4% 22% 38% 27% 8% 1% -
95 HENRY Soraya S. 14% 39% 33% 12% 2% - -
96 HUAI Delilah 26% 40% 25% 8% 1% - -
97 NAGORNAYA Uliana 41% 40% 16% 3% - - -
98 SINHA Anika 1% 12% 32% 37% 16% 2%
99 KANTIPUDI Shrika 27% 43% 24% 5% 1% -
100 HU Michelle 22% 47% 25% 6% 1% -
101 BUHAY Kirsten M. 5% 28% 38% 22% 6% 1% -
101 LIM Jaslene 37% 42% 17% 3% - - -
103 CHEN Ashley 6% 23% 34% 25% 10% 2% -
104 SPRINGER Ella 2% 13% 31% 33% 17% 4% -
105 RAMIREZ Mirka A. 8% 27% 36% 22% 6% 1% -
106 DENG Brooke 8% 26% 35% 22% 7% 1% -
107 ELNATAN Mica A. 3% 30% 42% 21% 4% - -
108 CHEN Kevy 14% 35% 33% 14% 3% - -
109 BAWA Anahat 7% 26% 37% 24% 7% 1% -
110 DONG Angel 10% 31% 35% 18% 5% 1% -
111 CHO Michelle 65% 30% 4% - - - -
112 PAL Anjali G. 6% 26% 38% 23% 7% 1% -
113 DAI Olivia 29% 43% 22% 5% - - -
114 LIN Nicole 12% 32% 33% 18% 5% 1% -
115 JEONG Katie 4% 21% 35% 27% 11% 2% -
115 LEMUS-IAKOVIDOU ALEXANDRA 2% 15% 32% 32% 15% 3% -
117 NAYAK Anika 45% 40% 13% 2% - -
118 NICHOLAS Eva 55% 35% 8% 1% - - -
118 GOLOVITSER Maya 73% 24% 3% - - - -
120 GOMES Diana C. 8% 27% 36% 22% 6% 1% -
121 KOKAL Genevieve 78% 20% 2% - - - -
122 ZHOU Ruoxi ( Jasmine) 42% 40% 15% 3% - - -
123 GUTHIKONDA Sunanya 8% 42% 37% 12% 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.