October NAC

Cadet Women's Saber

Saturday, October 19, 2019 at 8:00 AM

Kansas City, MO - Kansas City, 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 - - - - 4% 30% 66%
2 GREENBAUM Ella K. - 4% 14% 28% 31% 18% 4%
3 KIM Zoe - - - 2% 15% 41% 42%
3 LU Vivian Y. - - - 4% 20% 43% 32%
5 DI PERNA Chiara I. - - - - 1% 17% 82%
6 SULLIVAN Siobhan R. - - 2% 9% 29% 40% 21%
7 FOUR-GARCIA Madison - - - 4% 20% 43% 33%
8 OLSEN Natalie J. - 1% 11% 33% 36% 16% 2%
9 OISHI Megumi - - - 3% 15% 41% 41%
10 LEE Alexandra B. - - - 1% 8% 35% 57%
11 TONG Kunling - - 2% 10% 31% 39% 18%
12 WILLIAMS Jadeyn E. - - - 1% 11% 42% 46%
13 WILLIAMS Chloe C. - - 1% 8% 27% 42% 22%
14 TIMOFEYEV Nicole - - 2% 11% 35% 43% 9%
15 FREEDMAN Janna N. - - 1% 7% 24% 42% 26%
16 BEALE Zoe M. - 2% 12% 29% 34% 19% 4%
17 NAZLYMOV Tatiana F. - - 3% 14% 35% 37% 11%
18 CHAN Audrey - 2% 10% 28% 36% 21% 4%
19 CHIN Erika J. - - 2% 9% 27% 40% 23%
20 POSSICK Lola P. - - - 3% 16% 40% 41%
21 DUNGEY Amelia S. - - - 2% 15% 42% 41%
22 CALLAHAN Chase J. - 4% 17% 32% 30% 14% 3%
23 JULIEN Michelle - 2% 16% 36% 32% 12% 1%
24 BOIS Adele - 2% 9% 25% 35% 23% 5%
25 LACSON Sarah - 1% 7% 21% 34% 27% 9%
26 PAK Kaitlyn - - 1% 8% 28% 42% 21%
26 ZIELINSKI Isabella G. - 2% 14% 33% 34% 14% 2%
28 STONE Hava S. - - 4% 19% 38% 31% 8%
29 CHING Sapphira S. - 1% 6% 24% 39% 25% 5%
30 CODY Alexandra C. - 4% 18% 33% 30% 13% 2%
31 KOBOZEVA Tamara V. 1% 10% 26% 33% 22% 7% 1%
32 SATHYANATH Kailing - - 5% 21% 39% 28% 6%
33 KALRA Himani V. - 4% 16% 32% 32% 14% 2%
34 TZOU Alexandra - - 1% 7% 25% 41% 26%
35 CHEEMA Sophia - 3% 12% 28% 33% 20% 4%
36 TUCKER Iman R. - 1% 6% 23% 38% 27% 5%
37 WIGGERS Susan Q. - 1% 5% 21% 38% 28% 7%
38 CHIOLDI Mina - 1% 8% 22% 34% 27% 8%
39 ENGELMAN Madeline A. - - 4% 18% 37% 32% 9%
40 VESTEL Mira B. - 3% 13% 28% 33% 19% 4%
41 BUHAY Rachel T. 2% 11% 28% 34% 20% 5% -
42 TANG Annie L. - - 6% 22% 38% 27% 7%
43 DELSOIN Chelsea C. - 1% 6% 19% 34% 30% 11%
44 FLOREZ Melissa 1% 5% 17% 30% 30% 15% 3%
44 NEWELL Alexia C. - 2% 13% 35% 36% 13% 1%
46 MOZHAEVA MARIA - 3% 13% 29% 33% 18% 3%
47 YAP Madeline - 1% 6% 25% 41% 25% 2%
48 CHANG Josephine S. - 1% 6% 20% 36% 29% 8%
49 YONG Erika E. - - 1% 6% 28% 47% 18%
50 HE Charlotte - 1% 8% 23% 35% 25% 7%
51 KATZ Anat - 3% 15% 32% 32% 15% 3%
51 FERRARI-BRIDGERS Marinella O. - 3% 15% 36% 35% 11% 1%
53 GUTHIKONDA Nithya - - 2% 10% 28% 38% 21%
53 KOO Samantha - 5% 21% 34% 27% 10% 1%
55 SINHA Anika - 7% 27% 38% 22% 5% -
56 LI Victoria J. - 1% 8% 30% 42% 17% 2%
56 ANDRES Charmaine G. 1% 10% 30% 36% 18% 4% -
58 YANG Angelina 4% 19% 33% 29% 13% 3% -
59 CHEN Xinyan 3% 19% 36% 29% 11% 2% -
60 TANG Catherine H. 2% 11% 27% 33% 21% 6% 1%
61 XI Shining 1% 13% 36% 34% 14% 3% -
62 OXENSTIERNA Carolina - 3% 16% 35% 33% 12% 1%
62 DUCKETT Madison 3% 14% 29% 31% 18% 5% 1%
64 KALINICHENKO Alexandra (Sasha) 2% 14% 32% 32% 16% 4% -
65 NEIBART Fiona 2% 16% 40% 32% 10% 1% -
66 LUKASHENKO Angelina - 7% 24% 35% 24% 8% 1%
66 REDDY Shreya - 1% 7% 26% 39% 23% 4%
68 TAO Hannah J. - 1% 7% 24% 36% 25% 6%
69 BAKER Audrey C. 2% 15% 32% 32% 16% 4% -
70 SHOMAN Jenna - - 2% 13% 33% 37% 14%
71 YANG Ashley M. 1% 8% 22% 32% 25% 10% 2%
72 MIKA Veronica - 3% 14% 28% 32% 18% 4%
73 ATLURI Sara V. 1% 6% 23% 35% 26% 8% 1%
74 BALMASEDA Sabrina F. - 7% 28% 41% 21% 4% -
75 BLUM Leah I. - 1% 7% 23% 37% 26% 7%
76 KIM Sujin 12% 34% 34% 16% 4% - -
77 HILD Nisha 1% 12% 32% 34% 17% 4% -
78 KONG Isabel - 2% 10% 28% 37% 21% 4%
79 MATAIEV Natalie S. 1% 8% 25% 36% 24% 7% 1%
79 FEARNS Zara A. 1% 14% 32% 32% 16% 4% -
79 SHOMAN Miriam - 3% 16% 37% 33% 11% -
82 HOVERMAN Hannah A. 8% 27% 34% 22% 8% 1% -
83 ANDRES Katherine A. 1% 8% 22% 32% 25% 10% 2%
83 HUANG Sharon - 12% 37% 35% 14% 2% -
85 PRIEUR Lauren - 6% 24% 36% 25% 7% 1%
86 SUBRAMANIAN Nitika 5% 21% 35% 27% 10% 2% -
87 RIZKALA Joanna - 3% 19% 37% 29% 10% 1%
88 HURST Kennedy 2% 17% 36% 31% 12% 2% -
89 CAO Stephanie X. - - 4% 15% 34% 34% 12%
90 LIN Selena 7% 35% 38% 16% 3% - -
91 NYSTROM Sofia C. 12% 33% 34% 16% 4% - -
92 WEI Vivian W. 8% 26% 34% 23% 8% 1% -
93 NOVICK Mia J. 2% 31% 41% 21% 5% 1% -
94 BHATTACHARJEE Rhea 3% 16% 31% 31% 16% 4% -
95 MARSEE Samantha 1% 12% 33% 35% 15% 3% -
96 BENOIT Adelaide L. - 7% 27% 38% 22% 5% -
97 BALAKUMARAN Maya 1% 11% 30% 35% 19% 4% -
98 LARIMER Katherine E. 2% 11% 28% 33% 20% 6% 1%
99 WU Erica L. - 1% 7% 23% 38% 27% 6%
100 HOLMES Emma 21% 45% 27% 6% 1% - -
101 DARINGA Arianna 1% 6% 23% 37% 25% 7% 1%
101 CANNON Sophia E. - 4% 18% 34% 30% 12% 2%
103 BILILIES Sophia 9% 32% 37% 18% 4% - -
104 LIGH Erenei J. 13% 33% 33% 17% 4% 1% -
105 SHIN Andrea Y. 1% 9% 27% 36% 22% 5% -
106 CHIANG Emily 6% 38% 39% 15% 3% - -
107 CALVERT Sarah-Jane E. 1% 7% 25% 39% 23% 5% -
108 CHANG Emily 1% 6% 21% 34% 27% 10% 1%
109 LIN Zhiyin 16% 35% 31% 14% 4% 1% -
110 NG Sarah W. 16% 39% 32% 11% 2% - -
111 SLOBODSKY Sasha L. 2% 24% 40% 26% 7% 1% -
112 DHAR Aamina 10% 32% 36% 18% 4% - -
113 TODD Phoebe 3% 21% 40% 27% 8% 1% -
114 ZINNI Kaylyn M. 5% 23% 37% 25% 8% 1% -
115 SIMONIAN Olivia A. 27% 41% 24% 7% 1% - -
116 ROGERS Pauline E. 9% 34% 36% 16% 4% - -
116 BOLTON Eleksi M. 6% 44% 37% 12% 2% - -
116 OBRADOVIC Ana 7% 26% 36% 23% 7% 1% -
119 LEE Sophia 11% 33% 35% 17% 4% - -
120 RAHIM Alina O. 56% 35% 8% 1% - - -
121 WHEELER Kira 47% 40% 12% 1% - - -
122 KRYLOVA Valery 7% 25% 35% 23% 8% 1% -
122 ALFARACHE Gabriella C. 7% 27% 35% 22% 7% 1% -
124 GIRARDI Aemilia 16% 39% 32% 11% 2% - -
125 XIKES Katherine E. 4% 24% 41% 24% 6% 1% -
126 HSU Mia Y. 48% 40% 11% 1% - - -
127 GORMAN Victoria M. 1% 7% 22% 33% 25% 9% 1%
128 ULIBARRI Nevaeh L. 21% 40% 28% 9% 1% - -
129 KITTLE Lauren 43% 40% 15% 3% - - -
130 MUNGOVAN Cecilia C. 15% 46% 31% 8% 1% - -
131 ZENG Xiaoyi 33% 45% 19% 3% - - -
131 RANGANATHAN Ruchi 86% 14% 1% - - - -
133 BAKER Amelia M. 43% 41% 14% 2% - - -
133 LU Amy 19% 39% 29% 10% 2% - -
133 DAVIS Charlotte 53% 37% 9% 1% - - -
136 HUNG Anna 10% 37% 36% 14% 2% - -
136 CUNNINGHAM Erin 59% 33% 7% 1% - - -
138 LI Angela 71% 25% 4% - - - -
139 PROBST Alyssa 79% 20% 2% - - - -
140 LIGH Karis 73% 25% 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.