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(1) Maria Panyi, (2) Andrey Geva, (3) Igor Chirashnya, and (4) Sue Moheb.

October NAC

Cadet Women's Saber

Monday, October 15, 2018 at 8:00 AM

Milwaukee, WI - Milwaukee, WI, 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 KIM Zoe 1% 8% 24% 34% 24% 8% 1%
2 AVAKIAN Mikaela - - 4% 16% 34% 34% 13%
3 GOUHIN Chloe - - 2% 14% 37% 36% 11%
3 MOYA Keona L. - 4% 16% 32% 31% 14% 2%
5 FAHRI Monir J. - 2% 8% 23% 34% 26% 8%
6 KOZAK Sonja A. 1% 11% 27% 33% 21% 7% 1%
7 SKARBONKIEWICZ Magda - 1% 7% 24% 36% 25% 6%
8 HUNTER Nina B. 6% 24% 36% 25% 8% 1% -
9 CAO Stephanie X. - - 2% 15% 37% 35% 11%
10 LU Vivian Y. - - 3% 17% 39% 34% 6%
11 LIANG Megan - - 1% 6% 22% 41% 30%
12 WILLIAMS Jadeyn E. - - 2% 14% 40% 37% 8%
13 LI Anna M. - 5% 19% 34% 29% 11% 2%
14 TZOU Alexandra 1% 10% 29% 36% 19% 4% -
15 CHERNOMORSKY Maria - 1% 5% 18% 33% 31% 12%
16 TANG Annie L. - - 2% 16% 39% 33% 9%
17 HARRISON Imogen N. - - 1% 9% 28% 41% 21%
18 BUCHMANN Vivien - 5% 24% 42% 24% 5% -
19 MILLER Sky - - 4% 15% 33% 34% 14%
20 POSSICK Lola P. - - - 4% 19% 42% 35%
21 GREENBAUM Atara R. - - 1% 8% 26% 40% 24%
21 ROH Rachel E. - 2% 10% 28% 37% 20% 4%
23 PAK Kaitlyn - 2% 9% 24% 35% 24% 6%
24 GREENBAUM Ella K. - - 3% 15% 34% 35% 13%
25 KIM Catherine - 5% 21% 36% 28% 9% 1%
26 LEE Alexandra B. - - 4% 17% 36% 33% 10%
27 BERMAN Stella - 1% 8% 25% 39% 23% 4%
28 PRIESTLEY Catherine (Cate) C. 3% 16% 31% 30% 16% 4% -
28 WU Erica L. 6% 22% 34% 26% 11% 2% -
30 YAP Madeline - 1% 6% 21% 35% 28% 8%
31 FLOREZ Melissa - 2% 16% 37% 32% 12% 2%
32 DI PERNA Chiara I. - 1% 7% 26% 38% 23% 4%
33 KOVACS Sophia - - 3% 18% 39% 32% 8%
34 WHANG Rebecca - - 1% 9% 28% 41% 21%
35 KATZ Anat - 1% 5% 20% 35% 30% 9%
36 OISHI Megumi - - 1% 6% 24% 44% 26%
37 KONG Vera - - 2% 11% 31% 39% 17%
38 STRZALKOWSKI Aleksandra (Ola) M. - - 2% 11% 31% 39% 17%
39 KALRA Himani V. - - 3% 16% 37% 33% 10%
40 SECK Chejsa-Kaili F. - - - 3% 17% 43% 37%
41 HOOGENDOORN Sterre 2% 13% 31% 33% 17% 4% -
42 YUN Maya - 4% 17% 31% 30% 15% 3%
43 DELSOIN Chelsea C. - 5% 21% 35% 27% 10% 1%
44 TONG Kunling 4% 19% 32% 28% 13% 3% -
45 SULLIVAN Siobhan R. - 1% 6% 23% 40% 26% 4%
46 WILLIAMS Chloe C. 4% 20% 36% 29% 11% 2% -
47 LACSON Sarah 16% 40% 31% 11% 2% - -
47 MARSEE Samantha - 3% 12% 27% 33% 20% 5%
49 BEALE Zoe M. 1% 9% 26% 34% 22% 7% 1%
50 KOBOZEVA Tamara V. 2% 18% 34% 30% 13% 3% -
51 DUNGEY Amelia S. - 5% 19% 33% 28% 12% 2%
52 CHIN Erika J. - 1% 5% 18% 34% 31% 11%
53 BLUM Leah I. - 1% 7% 27% 39% 22% 4%
54 DARINGA Arianna - 2% 12% 28% 33% 20% 5%
55 CHEEMA Sophia 1% 6% 20% 33% 27% 11% 2%
56 WIGGERS Susan Q. - 1% 9% 24% 34% 25% 7%
57 WEINBERG Alexandra L. - - 1% 10% 35% 40% 14%
58 HOOGENDOORN Levi 9% 44% 34% 11% 2% - -
59 REDDY Shreya - 3% 14% 29% 32% 18% 4%
60 KALRA Siya L. 11% 32% 34% 17% 4% - -
61 TANG Catherine H. 1% 12% 32% 35% 17% 4% -
62 FREEDMAN Janna N. - 2% 9% 25% 35% 23% 5%
63 LAMOTHE Laurie-Ann 4% 18% 32% 29% 14% 3% -
64 ZIELINSKI Isabella G. 3% 15% 31% 31% 16% 4% -
65 ATLURI Sara V. - 1% 9% 28% 40% 18% 3%
66 HAN Jeanette X. 5% 22% 35% 27% 10% 2% -
67 CHING Sapphira S. 2% 15% 31% 32% 16% 4% -
68 GUTHIKONDA Nithya - 2% 9% 24% 34% 24% 6%
69 STONE Hava S. - 1% 9% 27% 37% 22% 4%
70 NOBREGA Carolina S. 11% 34% 35% 16% 4% - -
71 BROWN Emma 2% 12% 30% 34% 18% 4% -
72 BOURGEOIS Audreane 3% 19% 35% 29% 11% 2% -
73 CHEN Jane 1% 11% 27% 33% 21% 6% 1%
74 TUCKER Iman R. 1% 11% 35% 35% 15% 3% -
75 BENTOLILA Thalia 6% 31% 38% 20% 5% 1% -
76 SATHYANATH Kailing - 6% 25% 41% 22% 4% -
77 JULIEN Michelle - - 1% 8% 26% 40% 24%
78 MATAIEV Natalie S. 8% 28% 35% 21% 6% 1% -
79 OXENSTIERNA Carolina - 3% 17% 35% 31% 12% 1%
80 BURCH Makana Y. - 5% 25% 38% 24% 7% 1%
81 SHIN Andrea Y. 2% 12% 31% 34% 17% 4% -
82 HE Charlotte 1% 12% 29% 33% 19% 5% 1%
83 SCHMITT Alana P. 1% 11% 29% 34% 20% 6% 1%
83 LARIMER Katherine E. 4% 20% 34% 28% 12% 2% -
85 TIMOFEYEV Nicole 1% 7% 22% 33% 25% 10% 2%
86 VAN ATTA Grace Y. 4% 24% 38% 25% 8% 1% -
87 CANNON Sophia E. 11% 32% 34% 18% 5% 1% -
88 GORMAN Victoria M. 2% 22% 41% 26% 7% 1% -
89 CODY Alexandra C. - 1% 9% 32% 41% 15% 2%
90 PANIGRAHI Sophia 4% 20% 35% 28% 11% 2% -
91 KALINICHENKO Alexandra (Sasha) - 3% 15% 33% 33% 14% 2%
92 LIU Rachel 29% 46% 22% 4% - - -
93 D'ORAZIO Isabella 24% 42% 26% 7% 1% - -
94 LU Amy 8% 28% 35% 21% 7% 1% -
95 LI Victoria J. 14% 33% 32% 16% 4% 1% -
96 NEWELL Alexia C. - 3% 12% 28% 33% 19% 4%
97 CHEN Erica - 5% 18% 32% 30% 13% 2%
98 LIGH Karis 26% 51% 21% 2% - - -
99 GAJOWSKYJ Sophie K. 12% 31% 33% 18% 5% 1% -
100 CALVERT Sarah-Jane E. 11% 34% 35% 16% 3% - -
101 ABOUDAHER Janna A. 1% 6% 21% 35% 27% 10% 1%
102 RIZKALA Joanna 12% 31% 33% 18% 5% 1% -
102 NAZLYMOV Tatiana F. - 2% 12% 29% 34% 18% 4%
102 SZETO Chloe 10% 33% 36% 17% 3% - -
105 HOVERMAN Hannah A. 11% 41% 36% 11% 1% - -
106 TURNOF Kayla M. 30% 41% 22% 6% 1% - -
106 CHEN Xinyan 44% 43% 12% 1% - - -
108 MERRIAM Katherine I. 2% 14% 33% 32% 15% 3% -
109 BAE EMMELINE 41% 44% 13% 2% - - -
110 ZINNI Kaylyn M. - 3% 13% 28% 33% 19% 4%
111 PETE Gillian C. 2% 13% 33% 35% 14% 2% -
112 BENTOLILA Yedida 38% 41% 17% 4% - - -
113 FAY Zoe A. 12% 43% 35% 9% 1% - -
114 DHAR Aamina 13% 40% 36% 10% 1% - -
115 LIN Zhiyin 28% 59% 12% 1% - - -
116 WHEELER Kira 13% 37% 35% 13% 2% - -
116 RANGANATHAN Ruchi 62% 32% 6% - - - -
118 FU Linqian (Helen) 10% 29% 34% 20% 6% 1% -
119 CUNNINGHAM Erin 20% 43% 28% 8% 1% - -

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.