Gaylord National Resort and Convention Center - National Harbor, DC, USA
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 | WITTER Catherine A. | - | - | - | 1% | 10% | 38% | 50% |
2 | YANG Alisa | - | - | - | 1% | 11% | 38% | 50% |
3 | BECKMAN Ana | - | - | - | 1% | 9% | 36% | 54% |
3 | ZHAN Nancy | - | 1% | 9% | 30% | 38% | 19% | 3% |
5 | LEE Scarlett | - | - | - | 3% | 19% | 45% | 32% |
6 | ZHU Serene M. | - | - | 2% | 10% | 29% | 39% | 20% |
7 | FERREIRA DE MELO Adriana | - | 4% | 16% | 32% | 31% | 14% | 2% |
8 | TANG RUIRUI | 1% | 8% | 24% | 35% | 24% | 7% | 1% |
9 | PINNAMANENI Drithi | - | 1% | 7% | 22% | 36% | 27% | 7% |
10 | ZANGA Kaitlyn | - | 3% | 13% | 29% | 33% | 18% | 4% |
11 | AZMEH nour | - | - | 3% | 12% | 31% | 37% | 17% |
12 | JAKEL Alysa C. | - | 1% | 8% | 31% | 45% | 15% | |
13 | YOU Emily | - | - | 2% | 14% | 35% | 37% | 12% |
14 | MONOVA Lilyana | - | 1% | 7% | 24% | 39% | 26% | 4% |
15 | SUN Zeyu | - | - | 5% | 22% | 40% | 28% | 5% |
16 | CAFASSO Natalya | - | - | 2% | 14% | 52% | 32% | |
17 | NGUYEN Ashley L. | - | - | 4% | 21% | 40% | 29% | 6% |
18 | MALLAVARPU Aarthi C. | - | - | 3% | 20% | 46% | 32% | |
19 | LIN Elaine | - | - | - | 5% | 22% | 43% | 30% |
20 | SHIV Avni | - | - | - | 1% | 12% | 40% | 46% |
21 | KUMAR Anusha | - | 1% | 7% | 26% | 39% | 23% | 4% |
22 | DEPOMMIER Isabelle | - | - | 6% | 27% | 42% | 22% | 3% |
23 | CARRIER Meredith | - | 1% | 9% | 31% | 42% | 18% | |
24 | PEELER Julia | - | - | 1% | 7% | 28% | 44% | 21% |
25 | NOVOJILOV Anastasia | 1% | 9% | 25% | 34% | 23% | 7% | 1% |
26 | LIU Baihan | 1% | 10% | 26% | 34% | 22% | 7% | 1% |
27 | QIU Emily | - | 1% | 9% | 30% | 38% | 19% | 3% |
28 | LU Samantha R. | - | - | 1% | 10% | 45% | 44% | |
29 | CHANG Chloe | 11% | 35% | 37% | 14% | 2% | - | |
30 | MALLAVARPU saanvi | - | - | 5% | 24% | 44% | 26% | |
31 | MISHIMA Audrey | 1% | 11% | 34% | 40% | 13% | 1% | |
32 | LUO Amy | - | 3% | 16% | 39% | 33% | 9% | |
33 | ZUCKER Emily A. | 11% | 31% | 34% | 18% | 5% | 1% | - |
34 | WALTER Anna | 4% | 22% | 41% | 28% | 5% | - | |
35 | LEE Claire | - | 1% | 9% | 29% | 38% | 20% | 3% |
36 | SOBUS Yanka | - | 1% | 7% | 23% | 36% | 26% | 6% |
37 | JOHNSON Merit | 5% | 25% | 42% | 25% | 4% | - | |
38 | BARDIN Kira | 15% | 40% | 34% | 11% | 1% | - | |
39 | LY Hannah | 3% | 20% | 38% | 28% | 9% | 1% | - |
40 | VICKERMAN Sofia | - | 2% | 11% | 31% | 37% | 17% | 2% |
41 | GUJJA Misha | - | - | 1% | 7% | 25% | 42% | 26% |
42 | BAWA Jenya | 10% | 30% | 35% | 19% | 5% | 1% | - |
43 | MAHMUD Subaita | 4% | 23% | 40% | 25% | 7% | 1% | - |
44 | KOVALCHUK Erika S. | 3% | 16% | 32% | 31% | 15% | 3% | - |
45 | GAVASHELI Margarita | 21% | 45% | 27% | 6% | 1% | - | - |
46 | KIM Kailyn | 15% | 36% | 32% | 14% | 3% | - | - |
47 | WONG Caitlin | - | 3% | 16% | 35% | 33% | 12% | 1% |
48 | ILYAS Ayah | 27% | 44% | 24% | 5% | - | - | |
49 | MCKENNA Analise | 14% | 41% | 34% | 11% | 1% | - | |
50 | BO GENESIS | 13% | 37% | 33% | 13% | 3% | - | - |
51 | HOAGLAND Sally | 18% | 41% | 31% | 9% | 1% | - | - |
52 | LEEB Zoe | 26% | 45% | 24% | 5% | - | - | - |
53 | GUAN Isabella | - | 1% | 9% | 30% | 38% | 19% | 3% |
54 | VICKERMAN Aspen | 12% | 32% | 34% | 17% | 4% | 1% | - |
55 | YOU Isabel B. | 1% | 6% | 21% | 34% | 28% | 10% | 1% |
56 | HU Chelsea | - | 4% | 17% | 32% | 30% | 13% | 2% |
57 | COLELLA Lauren | 14% | 35% | 33% | 15% | 4% | - | - |
58 | CHUANG Ramona | 6% | 24% | 36% | 25% | 8% | 1% | - |
59 | LIU Nicole | - | < 1% | 4% | 15% | 33% | 35% | 13% |
60 | NGUYEN Ella | - | 3% | 17% | 38% | 31% | 10% | 1% |
61 | NIX Reagan | - | 1% | 8% | 25% | 37% | 24% | 4% |
62 | GLAZ Alison | 36% | 45% | 16% | 2% | - | - | - |
63 | MUELLER Kaitlin | 15% | 39% | 34% | 11% | 1% | - | - |
64 | BROOKS Taylor | 7% | 26% | 36% | 23% | 7% | 1% | - |
65 | ALAWNEH Leen | 3% | 17% | 36% | 31% | 11% | 1% | |
66 | VICKERMAN Lilly | - | 1% | 15% | 40% | 33% | 10% | 1% |
67 | WANG Sijia | 27% | 44% | 23% | 5% | 1% | - | - |
68 | WANG Zoe | 4% | 20% | 35% | 28% | 11% | 2% | - |
69 | JI Catherine | 1% | 12% | 44% | 33% | 9% | 1% | - |
69 | RITTER Brooklyn | 1% | 9% | 27% | 35% | 21% | 6% | 1% |
71 | BOGDANOVSKAYA Elizaveta | 14% | 36% | 33% | 14% | 3% | - | - |
72 | MURPHY Katherine | 14% | 40% | 34% | 11% | 1% | - | |
73 | TANG Elaine | 3% | 19% | 41% | 28% | 8% | 1% | - |
74 | ANAR Yesui | 21% | 55% | 21% | 3% | - | - | - |
75 | NOH Rachel | 19% | 42% | 30% | 8% | 1% | - | - |
76 | KRISHNA Rithika | 28% | 47% | 21% | 3% | - | - | - |
77 | KENNEDY Shea | 60% | 36% | 4% | - | - | - | - |
78 | MAGALSKI Mary | 2% | 11% | 29% | 34% | 19% | 5% | - |
79 | ANAR Yesugen | 29% | 44% | 22% | 4% | - | - | |
80 | GAN Shelby | 34% | 44% | 19% | 3% | - | - | |
81 | SANTORO Chloe | 19% | 42% | 29% | 8% | 1% | - | - |
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.