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.

USA Fencing National Championships & July Challenge

Div I Women's Saber

Monday, July 1, 2019 at 8:00 AM

Columbus, OH - Columbus, OH, 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 BABY Sada M. - - - - 6% 32% 62%
2 JOHNSON Edith (Tori) V. - - 2% 9% 28% 40% 22%
3 TARTAKOVSKY Elizabeth - - 4% 14% 31% 35% 16%
3 GOUHIN Chloe - - 1% 8% 29% 42% 20%
5 FOX-GITOMER Chloe N. - - 1% 7% 26% 41% 25%
5 CHAN Casey - 1% 7% 24% 37% 25% 6%
7 ANGLADE Alexis C. - - 1% 8% 26% 41% 25%
8 KIM Zoe 1% 10% 30% 36% 19% 4%
9 DI PERNA Chiara I. - - 1% 8% 26% 41% 23%
10 MERZA Celina - 1% 10% 30% 39% 19%
11 MICHEL Violet N. - - 1% 5% 23% 43% 28%
11 WOZNIAK Kelli - 2% 12% 30% 34% 18% 3%
13 THEODORE Maria A. - 1% 10% 32% 41% 15%
14 WILLIAMS Jadeyn E. - - 4% 17% 36% 33% 10%
15 IZENSON Lark (Keli) (Lark) - 2% 11% 28% 35% 20% 4%
16 LIANG Megan - 4% 15% 32% 33% 15% 1%
17 SKARBONKIEWICZ Magda - - 1% 8% 29% 42% 20%
18 SINGLETON-COMFORT Leanne - - - - 5% 28% 67%
19 WHANG Rebecca - 2% 9% 28% 37% 21% 4%
20 STRZALKOWSKI Aleksandra (Ola) M. - - 3% 16% 37% 36% 7%
21 CHAMBERLAIN Maia C. - - 2% 10% 28% 39% 21%
22 GUTHIKONDA Nithya 1% 9% 26% 34% 22% 7% 1%
23 HARRILL Gillian N. - - 4% 18% 39% 31% 8%
24 DUNGEY Amelia S. 1% 6% 21% 35% 28% 9% 1%
25 HE Charlotte 4% 22% 38% 26% 8% 1% -
26 KUDRIAVTSEVA Daria - 3% 16% 34% 34% 13%
27 CHIN Erika J. 4% 22% 39% 27% 7% 1%
28 HOFFMAN Ilsa L. - 2% 10% 27% 35% 21% 4%
29 POSSICK Lola P. - - 3% 14% 35% 36% 11%
30 AVAKIAN Mikaela - - 1% 6% 24% 43% 26%
31 HARRISON Imogen N. - 1% 7% 24% 39% 25% 5%
32 LACSON Sarah 4% 20% 34% 28% 12% 2% -
33 JENKINS Ryan J. - - - 2% 12% 38% 47%
34 BURKE Nora S. - - 3% 13% 32% 37% 15%
35 LINDER Kara E. - - 1% 5% 20% 42% 32%
36 LU Vivian Y. 2% 11% 27% 32% 21% 7% 1%
37 BERMAN Stella 3% 16% 33% 31% 14% 3% -
38 SULLIVAN Siobhan R. 1% 8% 25% 35% 23% 7% 1%
39 KONG Vera - 4% 18% 35% 31% 10%
40 MILLER Sky - - 2% 15% 43% 39%
41 HIRSCH Sydney R. - - 4% 19% 37% 31% 9%
42 SULLIVAN Caroline E. 1% 6% 21% 34% 27% 10% 1%
43 LEE Alexandra B. - 1% 5% 19% 35% 30% 9%
44 BECCHINA Bridget F. 10% 32% 37% 18% 4% - -
45 CHEN Erin Y. - 1% 7% 22% 35% 27% 8%
46 TONG Kunling 1% 9% 29% 36% 20% 5% -
47 LI Anna M. 1% 6% 21% 34% 28% 10% 1%
48 SHEA Erin 1% 9% 27% 37% 22% 5% -
49 YUN Joy 1% 7% 23% 36% 26% 7%
50 OISHI Megumi - 5% 17% 32% 31% 13% 2%
51 MOYA Keona L. - 1% 4% 17% 35% 33% 10%
52 ROH Rachel E. 1% 10% 30% 37% 18% 4% -
53 GREENBAUM Atara R. - 2% 11% 29% 35% 19% 4%
54 KOZAK Sonja A. 1% 11% 30% 35% 18% 4% -
55 BUCHMANN Vivien - 4% 16% 31% 31% 15% 3%
56 ZEGERS Anneke E. - 2% 9% 25% 36% 23% 5%
57 DOHERTY Maverick L. - 1% 8% 24% 36% 25% 6%
58 TIMOFEYEV Daniella - - - 3% 18% 43% 36%
59 FOUR-GARCIA Madison - 3% 14% 29% 32% 18% 4%
60 WITEK Sophie B. 1% 5% 19% 33% 30% 11% 1%
61 CHING Sapphira S. 12% 31% 33% 18% 5% 1% -
62 HUNTER Nina B. 3% 16% 33% 30% 14% 3% -
63 LIU Rachel 9% 30% 35% 20% 6% 1% -
64 KATZ Anat 10% 29% 34% 20% 6% 1% -
65 TZOU Alexandra 1% 11% 31% 35% 18% 3% -
66 BEALE Zoe M. 11% 31% 34% 18% 5% 1% -
67 WEINBERG Alexandra L. 1% 9% 26% 35% 22% 7% 1%
68 PALMER Kristen E. - 7% 25% 38% 24% 6%
69 KOVACS Sophia 1% 6% 20% 33% 28% 11% 1%
70 HOOGENDOORN Levi 7% 34% 37% 17% 4% - -
71 WILLIAMS Chloe C. - 5% 21% 37% 27% 8% 1%
72 HANADARI-LEVY Amit 4% 18% 32% 29% 14% 3% -
73 PINCUS Lucy Y. 21% 43% 27% 7% 1% - -
74 LAMBERT Jasmine M. 1% 8% 23% 33% 25% 10% 1%
75 SHEALY Maggie 1% 16% 37% 32% 12% 2%
76 KIM Catherine 6% 24% 36% 25% 8% 1%
77 GREENBAUM Ella K. 11% 32% 35% 18% 4% -
78 LIN Audrey J. 16% 36% 31% 13% 3% - -
79 ZHUANG Sophia 11% 32% 35% 18% 5% 1% -
80 WANG Caroline Y. 11% 34% 36% 16% 3% - -
80 WU Erica L. 3% 16% 32% 31% 15% 3% -
82 CHANG Josephine S. - 7% 27% 36% 22% 6% 1%
83 CASHMAN Natalie 5% 21% 34% 27% 11% 2% -
84 YUN Maya 16% 38% 32% 12% 2% - -
85 TURNER Zoe Y. 1% 10% 27% 34% 21% 6% 1%
85 TIMOFEYEV Nicole 3% 17% 33% 30% 13% 3% -
87 MARSEE Samantha 23% 42% 26% 7% 1% - -
88 DRAGON Rainer 5% 20% 34% 27% 11% 2% -
89 SONG Jenny 2% 15% 35% 34% 13% 1%
90 WU Zoe 74% 23% 3% - - -
91 CHEN Erica 14% 38% 34% 12% 2% -
92 YONG Annika A. - 7% 26% 37% 24% 6%
93 VAN ATTA Grace Y. 25% 43% 26% 7% 1% -
94 SHVARTSMAN Rochelle 9% 30% 35% 20% 6% 1% -
95 ALLUM Isabel (Izzy) T. 5% 23% 36% 25% 9% 1% -
96 SATHYANATH Kailing 6% 23% 35% 26% 9% 1% -
97 CHEEMA Sophia 10% 32% 36% 18% 4% - -
98 HILADO Sarah 18% 38% 30% 11% 2% - -
99 FAHRI Monir J. - 5% 20% 36% 29% 8% -
99 SECK Chejsa-Kaili F. 1% 7% 25% 37% 23% 7% 1%
101 REDDY Shreya 6% 23% 34% 26% 10% 2% -
102 SHIN Andrea Y. 23% 42% 26% 7% 1% - -
103 PARKER Abigale B. 2% 10% 25% 32% 22% 8% 1%
103 OXENSTIERNA Carolina 16% 36% 32% 13% 3% - -
105 FLOREZ Melissa 16% 36% 32% 14% 3% - -
105 KOO Samantha 7% 25% 35% 24% 8% 1% -
107 MILLER Tiffany D. 3% 17% 33% 30% 13% 3% -
108 YANG Kaitlyn H. 7% 28% 39% 21% 5% - -
109 HOOGENDOORN Sterre 12% 34% 34% 16% 4% - -
110 GHOSH Priyanka 20% 39% 29% 10% 2% - -
110 YURT Leyla 29% 43% 23% 5% - - -
112 DELSOIN Chelsea C. 14% 35% 33% 14% 3% -
113 WEBER Juliana I. 19% 41% 30% 9% 1% - -
114 IYER Mohini R. 19% 40% 30% 10% 2% - -
115 MACE Eliza M. 32% 45% 19% 4% - - -
116 CARNEY Gabriella 45% 40% 13% 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.