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.

April Championship and NAC

Div I Women's Foil

Monday, April 15, 2019 at 8:00 AM

Salt Lake City, UT - Salt Lake City, UT, 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 WEINTRAUB Maia M. - - - 3% 14% 40% 42%
2 BLOW Iman (Mani) A. - - - 1% 11% 38% 50%
3 BINDER Sylvie A. - - - - 4% 28% 68%
3 ELIZONDO Isabelle M. - - 2% 11% 30% 38% 19%
5 ZEISS Madison E. - - 1% 8% 26% 40% 25%
6 HE Elizabeth W. 1% 6% 22% 36% 27% 8%
7 MINARIK Natalie M. 1% 11% 28% 34% 20% 5% -
8 RHODES Zander - - 1% 7% 24% 41% 26%
9 KOO Haley B. - 1% 8% 23% 35% 26% 7%
10 CRUM Quinn T. 2% 11% 28% 33% 20% 6% -
11 ABAYEVA Sasha 7% 27% 36% 22% 7% 1% -
12 ZHANG Rachel - 2% 12% 31% 37% 17%
13 NOTT Adrienne (Adi) M. - 1% 8% 23% 35% 26% 7%
14 LEE Annora Y. - 1% 7% 22% 35% 27% 8%
15 KNIGHT Skylar 1% 5% 17% 31% 30% 14% 2%
16 APELIAN Katherine 3% 17% 33% 30% 13% 2% -
17 YAROSHENKO Karina - 1% 6% 21% 35% 28% 9%
18 STAMOS Maria 1% 6% 21% 36% 28% 9% 1%
19 NISHIMURA Madeleine A. 5% 20% 35% 28% 11% 1%
20 LO Ashley 1% 5% 19% 32% 29% 12% 2%
21 TIEU May L. - 1% 5% 18% 35% 32% 11%
22 PARTRIDGE Morgan K. - - 2% 10% 29% 40% 20%
23 GONG Christina S. 14% 34% 33% 15% 3% - -
24 CHOI Lenna K. 4% 18% 33% 29% 13% 3% -
25 HAO Alicia - - - 4% 19% 42% 34%
26 TAN Elisha - 1% 6% 22% 39% 29% 4%
27 GOMES Rafaella T. 40% 41% 16% 3% - - -
28 LEE Yejine - 4% 17% 33% 30% 13% 2%
29 FREEDMAN Miranda W. 3% 16% 32% 31% 15% 3% -
30 WANG Karina (Karina Xue Wang) X. 1% 7% 23% 33% 25% 9% 1%
31 SHALANSKY Julia B. 24% 40% 26% 9% 1% - -
32 KOKES Gabrielle 6% 23% 34% 25% 10% 2% -
33 TAN Helen - - 3% 15% 35% 36% 11%
34 CHENG Evelyn 1% 8% 23% 34% 25% 8% 1%
35 LI Grace Q. 3% 15% 31% 31% 16% 4% -
36 ADLER Polly Z. 1% 6% 22% 35% 26% 9% 1%
37 FERRARI Christina M. - 1% 9% 27% 37% 22% 4%
38 CHEN Alyssa J. - 1% 7% 22% 35% 27% 8%
39 HOOSHI Erica S. 3% 17% 32% 30% 15% 3% -
40 CROMPTON Celia N. 1% 7% 24% 35% 25% 7% 1%
41 LAM Justina - 2% 11% 29% 38% 20%
42 CHO Sabrina N. 1% 10% 28% 36% 21% 5%
43 KOO Rachel A. 3% 16% 33% 31% 14% 2%
44 HORSLEY Asherah - 1% 8% 24% 35% 25% 7%
45 MANDOUR Sophia M. 6% 22% 34% 26% 10% 2% -
46 ZAROFF Roxanne 1% 11% 29% 34% 19% 5% 1%
47 KIM Rachael 11% 33% 35% 17% 4% - -
48 LUONG Paige K. 1% 5% 18% 32% 29% 13% 2%
49 HUNT Tarleton Q. 1% 11% 29% 34% 19% 5% -
50 PARK Rowan M. 5% 24% 37% 25% 8% 1% -
50 HUNG Juliana K. - 5% 18% 32% 29% 13% 2%
52 MARTOS Sara A. - - 2% 10% 28% 39% 20%
53 THOMPSON Julia T. 3% 17% 33% 31% 14% 2%
54 JING Alexandra 3% 15% 31% 33% 16% 3%
55 QIAN Crystal 3% 17% 35% 31% 13% 2%
56 BIASCO Anna 1% 8% 24% 33% 24% 8% 1%
57 LEE Allison (Allie) - 5% 19% 34% 29% 11% 1%
58 BANIN Isabelle J. 5% 21% 34% 27% 11% 2% -
59 ZHOU Emme - 1% 7% 23% 37% 27% 5%
60 CHUSID Renata (Renata Chusid) M. - 1% 6% 20% 36% 30% 7%
61 SHEN Jasmine N. 4% 18% 32% 29% 14% 3% -
62 BREKER Anika 4% 21% 36% 28% 10% 1% -
63 JIA Amy 12% 32% 34% 18% 4% -
64 FLANAGAN Catherine H. 3% 19% 36% 29% 11% 2%
65 LAU Sydnee M. 3% 18% 35% 30% 12% 2% -
66 SEAL Julie T. 2% 14% 31% 32% 17% 4% -
67 LIAO Lu Jia (Lucy) 37% 41% 18% 4% - -
68 YANKOVSKIY Anastasia 1% 8% 23% 33% 25% 9% 1%
69 REN Olivia Y. 3% 15% 31% 31% 16% 4% -
70 MAROTTA Veronica L. 13% 33% 33% 16% 4% - -
71 CHON Samantha 12% 31% 33% 18% 5% 1% -
72 YU Seneca 23% 40% 27% 9% 1% - -
73 TANG Louise 1% 8% 26% 36% 23% 6% -
74 LEE Alina 3% 14% 29% 32% 18% 5% -
75 ALFONSO Czarina M. 5% 22% 35% 27% 10% 2% -
76 MOLHO Sofia 12% 32% 34% 18% 5% 1% -
77 MERGES Gretl C. 42% 40% 15% 3% - - -
78 LEVI Lea 8% 27% 35% 22% 7% 1% -
79 BHANOT Gayatri 19% 39% 30% 10% 2% - -
80 SHEN Sophia H. 6% 27% 37% 22% 7% 1% -
81 SEAL Grace (Gracie) C. 24% 40% 26% 8% 1% - -
82 SERBAN Samantha M. 4% 22% 37% 27% 9% 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.