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.

Capitol Clash SYC/RCC

Cadet Women's Saber

Monday, January 16, 2023 at 2:00 PM

Gaylord National Resort and Convention Center - National Harbor, DC, 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 TSUI Natalie - - - 3% 16% 41% 39%
2 KURAEVA Vasilisa - - 3% 14% 32% 35% 15%
3 JOHNSON Lydia - - 1% 8% 25% 41% 26%
3 BOYNTON Ainsley - 2% 12% 31% 37% 17%
5 FAN Grace - - 4% 18% 38% 33% 6%
6 DENG Brooke - - 4% 15% 32% 34% 14%
7 SOURIMTO Valeria - - - 1% 8% 35% 56%
8 LAURI Keira 1% 7% 24% 36% 25% 6%
9 YOUNG Charlotte G. - 1% 10% 30% 40% 19%
10 LIU Yifei - - - 1% 12% 40% 46%
11 PADANILAM Lily - 1% 8% 32% 40% 17% 2%
12 PANTALEON-MAZOLA Amari - 3% 14% 31% 32% 16% 3%
13 KRASOWITZ Lucy 13% 34% 34% 16% 4% - -
14 ZHOU Ruoxi ( Jasmine) - 4% 18% 34% 30% 12% 2%
15 HSU leah 1% 12% 33% 35% 16% 3%
16 XU Emily T. - 5% 20% 36% 29% 9%
17 WANG Callie - 5% 20% 36% 29% 9%
18 FERNANDEZ Martina - 2% 11% 31% 38% 17%
19 HENRY Soraya S. - 2% 12% 33% 38% 15%
20 COLBY Mercer - 6% 24% 38% 26% 6%
21 CAO Sophie - 1% 6% 29% 40% 21% 3%
22 FAVO Isabella - 2% 10% 27% 36% 22% 4%
23 LI Sonia 2% 13% 32% 35% 16% 3% -
24 HUANG Rachael - 1% 7% 22% 36% 27% 7%
25 CANSECO Carly 1% 11% 30% 35% 19% 4%
26 YOUNG Audrey 1% 6% 22% 36% 28% 8%
27 CHIANG Melissa - 2% 10% 26% 35% 22% 5%
28 SCHAIBLE Sofia L. - 3% 14% 30% 33% 16% 3%
29 LI Alexis 3% 17% 33% 30% 14% 3% -
30 NICHOLAS Eva 11% 30% 34% 19% 6% 1% -
31 LATYSHAVA Stephanie 7% 34% 38% 18% 4% -
32 HAMMERSTROM Aria 1% 9% 29% 37% 21% 4%
33 SENOGLU Irmak - 1% 6% 21% 35% 28% 9%
34 BERMAN greta - 1% 6% 20% 34% 29% 10%
35 ZHENG Valentina - 2% 12% 30% 35% 18% 3%
36 CHAVAN Arya 1% 9% 27% 35% 22% 7% 1%
37 ZENG Sarah - 1% 8% 27% 41% 24%
38 MALEK Zolie - 3% 17% 36% 33% 11%
39 WEI JoyAnn - - 3% 15% 32% 35% 15%
40 MERCHANT Aishwarya - - 2% 15% 39% 36% 9%
41 DANTULURI Shalini 1% 8% 25% 34% 24% 8% 1%
42 DHAR Layla 1% 9% 26% 34% 23% 8% 1%
43 CHEN Elaine 1% 11% 29% 33% 19% 5% 1%
44 LOO Kaitlyn 1% 9% 29% 37% 20% 4%
45 BAINS Nandini 30% 41% 22% 6% 1% -
46 BAIREDDY Maya 28% 41% 23% 6% 1% -
47 GUVEN Coco - 3% 13% 29% 33% 18% 4%
48 GUGALA Hanna - 2% 13% 29% 33% 18% 4%
49 TA-ZHOU Emma 7% 26% 36% 23% 7% 1% -
50 FANG Sophie - 6% 22% 35% 26% 9% 1%
51 MANKOVA Varvara 1% 7% 23% 34% 25% 9% 1%
52 BAWA Anahat 1% 7% 22% 33% 26% 10% 1%
53 MANI Francesca B. - 3% 13% 29% 33% 18% 4%
54 BERNARD Kathryn - 7% 26% 38% 24% 5%
55 RANDALL-COLLINS Shea M. 5% 23% 36% 26% 8% 1%
55 HU Anna 1% 7% 27% 38% 22% 5%
57 LIU Hannah 2% 12% 30% 34% 18% 3%
58 SCOTT Eve - - 4% 17% 34% 33% 12%
59 CHAN Madeleine V. 5% 22% 36% 27% 9% 1% -
60 CHEN Kevy 1% 6% 22% 36% 26% 8% 1%
61 HALPERIN Elizabeth H. 1% 11% 29% 34% 20% 5% 1%
62 MCGRAW Sadie 17% 38% 31% 12% 2% - -
63 ZHAO Emily W. - 2% 12% 28% 33% 19% 4%
64 MERMEGAS Olivia 4% 23% 37% 26% 9% 2% -
65 FLATT Sophia 1% 9% 28% 37% 21% 4%
66 KHOST Maeve 5% 29% 39% 22% 5% 1%
67 WENG Amber 12% 34% 34% 16% 4% - -
68 DEHON Inès 1% 10% 28% 34% 21% 6% 1%
69 DANTULURI Shivani 24% 40% 26% 8% 1% - -
70 PROBASCO Leila 1% 8% 23% 34% 24% 8% 1%
71 CHO Kaeli M. 6% 30% 44% 17% 3% - -
72 BARROSO Isabela 35% 42% 18% 4% - -
73 ONG Lauren 59% 33% 7% 1% - -
74 BERRIOS Catalina 3% 18% 34% 30% 13% 3% -
75 BARBORIAK Emily 14% 36% 32% 14% 3% - -
76 ROSADO Leah 50% 37% 11% 2% - - -
77 WODISKA Ava 28% 46% 22% 4% - - -
78 ELLIS-FURLONG Ava 59% 33% 7% 1% - - -
79 HUANG Neila 6% 26% 37% 23% 7% 1% -
80 COOVADIA Malina 29% 48% 20% 3% - - -
81 CHI Claire 12% 37% 34% 14% 3% -
81 CARTER Keely 2% 12% 30% 35% 18% 4%
81 WUNNAVA Elina 9% 31% 36% 19% 5% -
84 XU Demi 58% 33% 8% 1% - - -
85 MUELLER Sarah 53% 37% 9% 1% - -
86 ZHANG Jiaqing 7% 29% 40% 20% 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.