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.

Goldfinch ROC D1A, D2, Vet, RJC and chair fencing

Div I-A Women's Saber

Sunday, March 27, 2022 at 2:00 PM

SportsPlex at Metuchen - Metuchen, NJ, 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% 9% 37% 53%
2 MORALES Jessica Y. - - - 2% 15% 43% 40%
3 TZOU Alexandra - - - 1% 10% 36% 53%
3 LEE Hannah - 2% 9% 23% 34% 25% 7%
5 SCALAMONI-GOLDSTEIN Charlotte S. - 4% 16% 31% 31% 15% 3%
6 TAO Hannah J. - - 1% 8% 27% 41% 23%
7 GHOSH Priyanka - - 1% 6% 24% 43% 27%
8 GRAFF Sophie - 2% 16% 36% 33% 12% 2%
9 DRAGON Rainer - 1% 6% 23% 40% 26% 4%
10 SAYLES Nina R. - - 2% 12% 32% 38% 17%
11 HULSEBURG Kaitlyn - - 1% 8% 30% 44% 17%
12 HASSANEIN Toqa - 3% 13% 30% 34% 17% 3%
13 XIKES Katherine E. 1% 8% 25% 35% 23% 7% 1%
14 JOHNSON Dagny L. - 4% 16% 30% 31% 16% 3%
15 BALAKUMARAN Maya - 1% 8% 28% 38% 21% 4%
16 CHEN Xiaohan - - 2% 12% 32% 38% 16%
17 LEVITIS Danielle - 3% 15% 33% 33% 14% 2%
18 LEE Sophia 1% 6% 21% 33% 27% 11% 2%
19 CHEN Ashley 2% 14% 31% 32% 17% 4% -
20 YUAN Greta 1% 8% 25% 33% 23% 8% 1%
21 CALLAHAN Chase J. - 1% 7% 26% 41% 21% 3%
22 YANG Ashley M. - 1% 9% 29% 38% 19% 3%
23 BILILIES Sophia 1% 8% 25% 35% 23% 7% 1%
24 LI Victoria J. - 1% 8% 23% 34% 26% 8%
25 JEONG Katie 2% 13% 33% 35% 14% 2% -
26 DANK Dina - 1% 8% 26% 37% 22% 5%
27 LU Elaine 1% 7% 22% 33% 25% 10% 1%
28 NAYAK Anika 13% 48% 31% 8% 1% - -
29 PAUL Lila - 2% 9% 24% 34% 24% 7%
30 RIZKALA Joanna - 3% 15% 34% 34% 13% 1%
31 NATH Trisha 1% 7% 23% 34% 26% 8% 1%
32 DAI Olivia 51% 37% 11% 2% - - -
33 GOMERMAN Sophia 9% 32% 38% 18% 4% - -
34 MANSPERGER Leena - 4% 17% 31% 30% 14% 3%
35 FESTA Carina 1% 10% 35% 36% 15% 3% -
36 HE Lizbeth 5% 22% 36% 26% 9% 2% -
37 STONE Hava S. - - 2% 14% 35% 36% 12%
38 NAYAK Esha 12% 33% 34% 17% 4% - -
39 SUBRAMANIAN Nitika - 3% 12% 28% 33% 19% 5%
40 LI Angela 34% 43% 19% 3% - - -
41 FANG Sabrina 1% 9% 26% 33% 22% 7% 1%
42 BERNSTEIN Aiden S. 24% 42% 26% 7% 1% - -
43 WANG Jianning 9% 30% 36% 20% 5% 1% -
44 KANTIPUDI Shrika 10% 33% 37% 17% 3% - -
45 YEN Natalie 30% 43% 22% 5% 1% - -
46 VADASZ Ibla P. - < 1% 4% 16% 34% 34% 12%
47 ALCEBAR Kayla - 2% 10% 27% 36% 21% 3%
48 JOHNSTON Lily 15% 35% 32% 14% 3% - -
49 SPRINGER Ella 8% 32% 38% 18% 4% - -
50 SLOBODSKY Sasha L. 9% 33% 37% 17% 3% - -
50 YOUNG Audrey 19% 39% 30% 11% 2% - -
52 ZHANG Sophie 9% 32% 37% 17% 4% - -
53 REN Xinling 6% 24% 34% 25% 9% 2% -
54 PATNAIK Nastassia 8% 31% 38% 19% 4% - -
54 ZHANG Ruijia Alexa 26% 40% 24% 8% 1% - -
56 ZONG Meichen 62% 33% 5% - - - -

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.