Secaucus, NJ - Secaucus, NJ, 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 | JING Alexandra | - | - | - | 1% | 8% | 37% | 54% |
2 | SADAN Jordan E. | - | - | 1% | 7% | 33% | 43% | 15% |
3 | SHEN Sophia H. | - | 1% | 7% | 22% | 35% | 27% | 8% |
3 | FANG Sabrina | - | - | - | 2% | 13% | 39% | 45% |
5 | CHEN Jessie S. | - | - | 3% | 17% | 42% | 33% | 6% |
6 | SERBAN Samantha M. | - | - | - | 2% | 11% | 39% | 48% |
7 | HO Brianna W. | - | 2% | 11% | 28% | 34% | 20% | 4% |
8 | STUTCHBURY Carolina J. | - | 1% | 8% | 26% | 38% | 23% | 4% |
9 | ZHANG Alina C. | - | 2% | 13% | 30% | 34% | 18% | 3% |
10 | JING Emily | - | - | - | 1% | 11% | 40% | 47% |
11 | ZHENG Ivy | - | - | - | 1% | 14% | 44% | 41% |
12 | WANG Ellen | - | - | 3% | 14% | 34% | 36% | 13% |
13 | DAVIA Daniella V. | - | 1% | 6% | 22% | 37% | 27% | 7% |
14 | TUCKER ALARCON Ariadna C. | - | - | 1% | 7% | 25% | 42% | 26% |
15 | CHEN Jia P. | - | - | 2% | 10% | 31% | 40% | 17% |
16 | KIM Rachael | - | - | 3% | 16% | 37% | 34% | 9% |
17 | XU Christine | - | 1% | 8% | 27% | 40% | 21% | 2% |
18 | HE Fenghuan | - | - | 3% | 16% | 34% | 34% | 12% |
19 | SHAW Kayla M. | - | 2% | 10% | 29% | 37% | 19% | 3% |
20 | LIN Ashley | - | 4% | 16% | 32% | 31% | 14% | 2% |
21 | LUNG Katerina | - | 2% | 10% | 26% | 35% | 22% | 5% |
22 | HECKMANN Emma | - | 2% | 11% | 30% | 36% | 17% | 3% |
23 | CHEN Allison V. | - | 2% | 12% | 27% | 34% | 20% | 5% |
24 | COSTELLO Angeline S. | - | 4% | 17% | 33% | 32% | 13% | 1% |
25 | SARTORI Taylor M. | - | - | 1% | 10% | 34% | 42% | 13% |
26 | ADAMS KIM Natalie | 1% | 7% | 23% | 35% | 26% | 8% | 1% |
27 | LAM Victoria M. | 1% | 7% | 27% | 39% | 22% | 4% | - |
28 | CHO Lorin Y. | - | 2% | 12% | 32% | 36% | 15% | 2% |
29 | WU Julianna Y. | - | 3% | 15% | 31% | 32% | 16% | 3% |
30 | SHEN Lydia | 2% | 13% | 32% | 35% | 16% | 3% | - |
31 | SONG ShuXuan (Liliya) | 7% | 27% | 37% | 22% | 6% | 1% | - |
32 | TAN Kaitlyn N. | - | 1% | 7% | 23% | 39% | 26% | 4% |
33 | OUYANG Bridgette Z. | - | - | 1% | 11% | 32% | 40% | 16% |
34 | YE Eileen | - | - | - | 3% | 19% | 45% | 33% |
35 | PEVZNER Victoria | - | - | - | 1% | 8% | 35% | 56% |
36 | RASO Olivia | - | 15% | 40% | 33% | 10% | 1% | - |
37 | WILSON Anna S. | - | 1% | 5% | 19% | 34% | 31% | 11% |
38 | SHEN Sophia | 13% | 35% | 33% | 15% | 3% | - | - |
39 | CHEN Lefu | 2% | 14% | 32% | 32% | 16% | 4% | - |
40 | YU Jaime L. | - | 4% | 23% | 47% | 23% | 4% | - |
41 | WONG Sophia M. | - | - | 2% | 12% | 31% | 37% | 18% |
42 | LI Meilin | - | 1% | 7% | 26% | 38% | 23% | 5% |
43 | CHEN Kelly | - | 1% | 5% | 19% | 35% | 30% | 10% |
44 | PAHLAVI Dahlia | 2% | 14% | 32% | 32% | 15% | 3% | - |
45 | WU Irene M. | - | 1% | 8% | 28% | 41% | 21% | 2% |
46 | ZHAO Aileen Y. | 2% | 14% | 30% | 32% | 17% | 5% | 1% |
47 | KOENIG Charlotte R. | - | - | 1% | 8% | 28% | 41% | 21% |
48 | LIU Sophia | - | 4% | 17% | 32% | 30% | 14% | 2% |
49 | SENIC Adeline | - | - | 1% | 10% | 39% | 41% | 10% |
50 | KULKARNI Sohah A. | 2% | 12% | 30% | 34% | 18% | 4% | - |
51 | ACHILOVA Feyza | 2% | 21% | 45% | 27% | 5% | - | - |
52 | YU Lauren C. | 41% | 41% | 15% | 2% | - | - | - |
53 | KONDAMANI Anya | 2% | 11% | 29% | 33% | 19% | 5% | - |
54 | LIN Emma | 24% | 41% | 26% | 8% | 1% | - | - |
55 | NAGER Abigail | 16% | 37% | 32% | 13% | 2% | - | - |
56 | YU Nicole J. | 7% | 28% | 37% | 22% | 6% | 1% | - |
57 | HUANG Natalie | 4% | 20% | 37% | 28% | 10% | 1% | - |
58 | SIMONOV Dasha | - | 3% | 15% | 31% | 31% | 16% | 3% |
59 | D'ORAZIO Sofia V. | - | 5% | 20% | 34% | 29% | 11% | 1% |
60 | LEE Lavender | - | 3% | 15% | 33% | 33% | 15% | 2% |
61 | PARK Caitlyn | 61% | 34% | 4% | - | - | - | - |
62 | MAESTRADO Ashley R. | 14% | 38% | 34% | 12% | 2% | - | - |
63 | WU Celine | 27% | 44% | 23% | 5% | 1% | - | - |
64 | MUELLER Tatum J. | 9% | 40% | 37% | 12% | 2% | - | - |
65 | SU Michelle | 1% | 8% | 27% | 36% | 22% | 6% | 1% |
66 | SULTANA-HOLE Olivia B. | 11% | 35% | 36% | 15% | 3% | - | - |
67 | SHEN Annabel | - | 2% | 12% | 29% | 35% | 18% | 3% |
68 | FELLUS Talia E. | 2% | 18% | 38% | 30% | 10% | 1% | - |
69 | XU Madison | - | 1% | 9% | 27% | 37% | 22% | 4% |
70 | WANG Chloe | 8% | 29% | 37% | 20% | 5% | - | - |
71 | BHAN Zala | 1% | 9% | 27% | 36% | 21% | 5% | - |
72 | CHARALEL Jessica | 11% | 37% | 36% | 14% | 2% | - | - |
73 | MUSTO Isabella | 18% | 38% | 30% | 11% | 2% | - | - |
74 | FU Qihan | 7% | 27% | 37% | 22% | 6% | 1% | - |
75 | XUE Alanna | 7% | 24% | 34% | 24% | 9% | 2% | - |
76 | NORTH Zoe M. | 3% | 18% | 37% | 30% | 11% | 1% | - |
77 | XIANG Emma | 10% | 32% | 36% | 18% | 4% | - | - |
78 | CHO Claire E. | 13% | 39% | 33% | 12% | 2% | - | - |
79 | ROY Layla | 8% | 35% | 38% | 16% | 3% | - | - |
80 | HU Felice | 10% | 32% | 35% | 18% | 4% | - | - |
81 | OLIVEIRA Lavinia M. | 7% | 36% | 37% | 16% | 4% | - | - |
82 | TOBIN Brean | 36% | 44% | 17% | 2% | - | - | - |
83 | SHTROM Uma A. | 13% | 34% | 34% | 16% | 3% | - | - |
84 | SUNG Yoomin | 45% | 39% | 13% | 2% | - | - | - |
85 | WANG Yudi | 7% | 30% | 39% | 20% | 4% | - | - |
86 | CHEN Jasmine | 17% | 42% | 32% | 9% | 1% | - | - |
87 | MAHNKEN Rachel | 6% | 29% | 41% | 20% | 3% | - | - |
88 | QIAN Jade | 17% | 41% | 32% | 10% | 1% | - | - |
89 | ZHOU Dorothy S. | 7% | 31% | 41% | 19% | 2% | - | - |
90 | JHAVERI Sanjana | 20% | 38% | 29% | 11% | 2% | - | - |
90 | JIN Wendy | 21% | 44% | 28% | 6% | 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.