The future of US Fencing is at stake!

For transparency, fairness, and athlete support, VOTE NOW for:
(1) Maria Panyi, (2) Andrey Geva, (3) Igor Chirashnya, and (4) Sue Moheb.

December NAC

Div I Women's Saber

Sunday, December 8, 2019 at 1:00 PM

Salt Lake City, UT - Salt Lake City, UT, USA

Probability density of pool victories

Reset

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 ZAGUNIS Mariel L. - - - 1% 6% 30% 64%
2 SINGLETON-COMFORT Leanne - - - 1% 13% 46% 40%
3 AKSAMIT Monica - - 4% 18% 36% 32% 10%
3 THOMPSON Kamali A. - - 2% 11% 31% 39% 17%
5 RUSSO Francesca - - 1% 8% 27% 41% 22%
6 KAKHIANI Teodora - 4% 16% 31% 31% 15% 2%
7 ANGLADE Alexis C. - - 1% 9% 31% 42% 17%
8 KONG Vera - 2% 9% 26% 36% 23% 5%
9 YANG Hengyu - 1% 5% 21% 38% 29% 7%
10 SHEN Chen - 1% 5% 22% 41% 27% 5%
11 BURKE Nora S. - - 1% 5% 21% 42% 32%
12 LINDER Kara E. - - 1% 9% 27% 41% 22%
13 SHAO Yaqi - 2% 12% 30% 35% 18% 3%
14 THEODORE Maria A. - - 6% 27% 47% 20%
15 SHELTON Aleksandra - - 2% 17% 44% 37%
16 DOHERTY Maverick L. 1% 8% 25% 36% 23% 6% 1%
17 JOHNSON Edith (Tori) V. - - 1% 7% 25% 41% 25%
18 WILLIAMS Chloe C. - 1% 6% 20% 37% 30% 7%
19 FU Ying - 2% 11% 27% 34% 21% 5%
20 STRZALKOWSKI Aleksandra (Ola) M. - - 4% 16% 35% 34% 11%
21 TARTAKOVSKY Elizabeth - 1% 7% 21% 35% 28% 9%
22 LIANG Megan - 2% 13% 31% 35% 16% 2%
23 QIAN Jiarui 4% 20% 36% 28% 10% 2% -
24 CHAMBERLAIN Maia C. - - 1% 8% 27% 43% 22%
25 WEINBERG Alexandra L. - 3% 15% 34% 34% 13% 2%
26 KIM Zoe - 2% 10% 26% 36% 22% 5%
27 GREENBAUM Ella K. 4% 21% 37% 27% 9% 1% -
27 OISHI Megumi - 3% 14% 32% 34% 15% 2%
29 HE Charlotte 6% 23% 35% 26% 10% 2% -
30 SECK Chejsa-Kaili F. 2% 12% 29% 33% 19% 5% 1%
31 JULIEN Michelle 16% 42% 32% 9% 1% -
32 MILLER Sky - - 2% 10% 30% 40% 18%
33 DI PERNA Chiara I. - - - 4% 20% 43% 32%
34 LEE Alexandra B. - - 4% 20% 38% 29% 8%
35 MA Yingjia - 1% 8% 24% 36% 25% 6%
36 FOX-GITOMER Chloe N. - - - 3% 17% 44% 36%
37 MICHEL Violet N. - - 1% 8% 27% 42% 23%
38 STONE Anne-Elizabeth - - 1% 7% 23% 41% 28%
39 SHIN Andrea Y. 22% 41% 27% 9% 1% < 1% -
40 HOFFMAN Ilsa L. - 3% 15% 33% 33% 14% 1%
41 YUN Maya 15% 40% 33% 11% 1% - -
42 GUTHIKONDA Nithya - 3% 13% 29% 35% 18% 3%
43 SHEALY Maggie - 5% 20% 36% 29% 9% 1%
44 SULLIVAN Siobhan R. - 1% 9% 30% 37% 19% 4%
45 KIM Catherine 2% 13% 31% 33% 17% 4% -
46 STONE Hava S. 6% 28% 41% 21% 4% -
47 LARGAESPADA Fatima - 4% 17% 34% 31% 12% 2%
48 LU Vivian Y. - 4% 16% 32% 31% 14% 2%
49 TANG Catherine H. 6% 24% 36% 25% 8% 1% -
50 WIGGERS Susan Q. 5% 22% 35% 27% 10% 2% -
50 YONG Erika E. 1% 7% 27% 39% 22% 4% -
52 KOVACS Sophia - 5% 20% 35% 29% 10% 1%
53 DRAGON Rainer 2% 10% 27% 34% 21% 6% 1%
54 YUN Joy - 1% 8% 25% 36% 24% 6%
55 SATHYANATH Kailing 2% 12% 31% 34% 17% 4% -
56 BERMAN Stella 2% 12% 31% 34% 18% 4% -
57 JIA Xiaoye 1% 11% 28% 34% 20% 6% 1%
58 POSSICK Lola P. 1% 7% 27% 41% 21% 3%
59 TONG Kunling 1% 7% 23% 36% 26% 7% -
60 MERZA Celina - - 2% 12% 32% 38% 16%
61 MOYA Keona L. - 1% 9% 29% 39% 19% 3%
62 MERZA Sarah - 3% 14% 30% 33% 17% 3%
62 KALRA Himani V. 6% 28% 38% 22% 5% 1% -
64 CARVALHO Isabela A. 1% 7% 23% 36% 25% 8% 1%
65 GHOSH Priyanka 8% 35% 38% 15% 3% - -
66 KYNETT Kathryn G. 2% 14% 32% 33% 16% 3% -
67 HOOGENDOORN Sterre 5% 22% 35% 26% 10% 2% -
68 NAZLYMOV Tatiana F. 1% 10% 29% 35% 19% 5% -
69 TZOU Alexandra 1% 10% 27% 34% 21% 6% 1%
70 LI Anna - 4% 18% 34% 30% 12% 2%
71 FOUR-GARCIA Madison - 3% 16% 34% 34% 12% 1%
72 CHANG Josephine S. 1% 9% 29% 36% 19% 4% -
73 SAYLES Nina R. 7% 26% 35% 23% 8% 1% -
74 HOOGENDOORN Levi 5% 24% 36% 25% 8% 1% -
75 LUCHO Raisza 12% 33% 34% 16% 4% 1% -
76 LAMBERT Jasmine M. 2% 12% 28% 33% 19% 5% -
77 CHERNOMORSKY Maria 2% 16% 34% 32% 14% 3% -
78 ROH Rachel E. - 5% 19% 34% 29% 11% 1%
79 TURNOF Kayla M. 28% 42% 23% 6% 1% - -
80 WU Erica L. 4% 22% 36% 27% 10% 2% -
81 MILLER Tiffany D. 2% 11% 28% 33% 20% 5% 1%
81 PRIESTLEY Catherine (Cate) C. 7% 26% 35% 23% 7% 1% -
83 SKARBONKIEWICZ Magda - - < 1% 2% 14% 39% 44%
84 TUCKER Iman R. 6% 28% 37% 22% 6% 1% -
85 YUCEL Emine I. 13% 34% 33% 16% 4% - -
86 REDDY Shreya 15% 36% 32% 14% 3% - -
87 DANAHY Ellen D. 16% 37% 32% 13% 3% - -
88 HASSAN Aziza R. 2% 16% 36% 32% 12% 2% -
89 MARSEE Samantha 9% 29% 35% 20% 6% 1% -
90 KLEIN-BRADDOCK Kimberly K. 41% 40% 15% 3% - - -
90 GULATI Ria 4% 26% 40% 22% 6% 1% -
92 NEWELL Alexia C. 15% 35% 32% 14% 3% - -
93 LACSON Sarah 4% 22% 38% 27% 8% 1% -
94 MANUBAG Amanda R. 21% 41% 28% 9% 1% - -
95 AKARD Micah M. 31% 43% 21% 4% - - -
95 TIMOFEYEV Nicole 1% 10% 27% 34% 21% 6% 1%
97 NEIBART Fiona 24% 43% 26% 7% 1% - -
98 GLUCK Myriam 51% 38% 10% 1% - - -
98 ZIELINSKI Isabella G. 13% 37% 34% 14% 3% - -
98 KOO Samantha 13% 34% 33% 16% 4% - -
101 YODER Bridget H. 34% 44% 19% 3% - -
102 DEPEW Charlotte R. 48% 39% 12% 2% - - -
103 DEMING Clare L. 30% 42% 22% 6% 1% - -
103 KOBERSTEIN Maggie 11% 34% 35% 16% 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.