Charlotte, NC, 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 | NIXON Catherine (Kasia) D. | - | - | - | 1% | 10% | 36% | 53% |
2 | HURLEY Courtney L. | - | - | - | 2% | 12% | 38% | 49% |
3 | KETKAR Ketki | - | - | 1% | 8% | 25% | 41% | 25% |
3 | MACHULSKY Leehi | - | 1% | 6% | 22% | 39% | 28% | 5% |
5 | HUSISIAN Hadley N. | - | - | - | 1% | 9% | 36% | 54% |
6 | GUZZI VINCENTI Margherita A. | - | - | 1% | 6% | 24% | 42% | 27% |
7 | PIRKOWSKI Amanda L. | - | 1% | 7% | 26% | 44% | 23% | |
8 | FALLON Kyle R. | 2% | 16% | 40% | 34% | 8% | ||
9 | HURLEY Kelley A. | - | - | - | 1% | 8% | 35% | 56% |
10 | GU Sarah | - | 1% | 7% | 21% | 34% | 28% | 8% |
11 | GRADY Miriam A. | - | - | 1% | 9% | 27% | 40% | 23% |
12 | JAKEL Sophia N. | 2% | 12% | 32% | 36% | 17% | 2% | |
13 | PARK Faith K. | - | 2% | 13% | 41% | 44% | ||
14 | WASHINGTON Isis | - | - | - | 3% | 14% | 40% | 43% |
15 | CEBULA Anne | - | - | 2% | 12% | 29% | 38% | 19% |
16 | NGUYEN Kaylin A. | 1% | 8% | 23% | 34% | 25% | 8% | 1% |
17 | BASSA Francesca A. | - | - | 1% | 8% | 34% | 57% | |
18 | RAUSCH Ariana (Ari) M. | - | 2% | 12% | 30% | 35% | 18% | 2% |
19 | WANG Karen | - | 1% | 6% | 22% | 37% | 28% | 7% |
20 | SEBASTIAN Felicity A. | 1% | 8% | 25% | 34% | 23% | 7% | 1% |
21 | TOBY Natalia R. | - | 1% | 5% | 23% | 45% | 26% | |
22 | DROVETSKY Alexandra M. | - | 1% | 8% | 25% | 37% | 24% | 5% |
23 | BEI Karen | - | 2% | 13% | 33% | 35% | 14% | 2% |
24 | BALAKRISHNAN Monica S. | 4% | 18% | 33% | 29% | 13% | 3% | - |
25 | KHAMIS Yasmine A. | - | - | 3% | 14% | 33% | 36% | 14% |
26 | CAPELLUA Mariasole | 4% | 20% | 36% | 28% | 10% | 1% | |
27 | YU Nicole J. | 16% | 38% | 32% | 11% | 2% | - | |
28 | CALDERA Lexi I. | 5% | 21% | 33% | 27% | 11% | 2% | - |
29 | OXENREIDER Tierna A. | - | 5% | 22% | 38% | 27% | 6% | |
30 | MEHROTRA Anya | 5% | 24% | 38% | 25% | 7% | - | |
31 | REID Anousheh | 14% | 41% | 34% | 10% | 1% | ||
32 | CHEN Lefu | 4% | 22% | 38% | 27% | 8% | 1% | |
33 | WATRALL Christina | 1% | 7% | 26% | 38% | 23% | 5% | |
34 | WANG Elizabeth | - | 3% | 14% | 31% | 34% | 16% | 2% |
35 | RATZLAFF Jocelyn T. | - | 3% | 14% | 31% | 33% | 16% | 3% |
36 | WANG Nora | 1% | 5% | 20% | 34% | 29% | 11% | 1% |
37 | JOYCE Michaela | - | - | 1% | 8% | 28% | 43% | 20% |
38 | PADHYE Tanishka | 3% | 15% | 33% | 33% | 14% | 2% | |
39 | MCLANE Lauren | 3% | 19% | 41% | 30% | 6% | ||
40 | CHU Audrey | - | 2% | 12% | 30% | 35% | 17% | 2% |
41 | NGUYEN Tallulah | 3% | 17% | 34% | 31% | 13% | 2% | - |
42 | LIN Katie Y. | - | 3% | 15% | 32% | 33% | 15% | 2% |
43 | KOMAR Sofia | - | - | 3% | 15% | 34% | 35% | 13% |
44 | TEMIRYAEV Anna M. | 12% | 33% | 34% | 17% | 4% | - | - |
45 | LIN Jessica Y. | - | - | 5% | 21% | 42% | 31% | |
46 | RUNIONS Emersyn | 6% | 25% | 36% | 25% | 8% | 1% | |
47 | CHIN Isabella | - | 1% | 5% | 21% | 41% | 31% | |
48 | O'DONNELL Amanda A. | 1% | 11% | 32% | 36% | 17% | 3% | |
49 | LIU Christina A. | 2% | 12% | 32% | 36% | 15% | 2% | |
50 | VERMEULE Emily | - | - | - | 4% | 20% | 45% | 31% |
51 | LUO Ashley | 4% | 21% | 35% | 27% | 10% | 2% | - |
52 | TYLER Syd | - | 5% | 19% | 34% | 29% | 11% | 1% |
53 | LU Junyao | 4% | 21% | 38% | 28% | 9% | 1% | - |
54 | ISERT Sarah | 1% | 6% | 20% | 33% | 27% | 11% | 2% |
54 | GAJJALA Sharika R. | 2% | 13% | 30% | 32% | 17% | 4% | - |
56 | PAPADAKIS Lily | 8% | 27% | 35% | 22% | 7% | 1% | - |
57 | KUZNETSOV Victoria | 1% | 10% | 30% | 37% | 19% | 2% | |
58 | WADE-CURRIE Ava S. | 1% | 9% | 26% | 34% | 22% | 6% | - |
59 | LEE Sumin | - | 4% | 17% | 35% | 31% | 12% | 2% |
60 | ZHANG Tina Tianyi | 1% | 8% | 27% | 37% | 21% | 5% | - |
61 | LAVERY Chloe K. | 9% | 28% | 35% | 21% | 6% | 1% | - |
62 | YAO Melinda | 39% | 43% | 15% | 2% | - | ||
63 | PEHLIVANI Zara | 12% | 35% | 36% | 15% | 3% | - | |
64 | LONADIER Keira | 31% | 42% | 22% | 5% | - | - | |
65 | KIM Zoe L. | 4% | 19% | 33% | 28% | 13% | 3% | - |
66 | MUELLER Emma M. | 26% | 42% | 25% | 7% | 1% | - | - |
66 | NEMETH Katherine | 37% | 42% | 17% | 3% | - | - | - |
68 | PATURU Meghana | - | 2% | 10% | 28% | 38% | 20% | 3% |
69 | WEBER Nora | 12% | 36% | 35% | 14% | 3% | - | - |
70 | LEE Michelle J. | - | 2% | 9% | 27% | 37% | 22% | 3% |
71 | KETKAR Mallika | 1% | 8% | 26% | 36% | 23% | 5% | |
72 | CHENG Ava | 5% | 22% | 35% | 26% | 10% | 2% | - |
73 | GEBALA Natalie Brooke A. | 1% | 9% | 26% | 34% | 22% | 6% | 1% |
74 | LEUNG Natalie | 2% | 10% | 26% | 33% | 21% | 6% | 1% |
75 | WITTE Vera | 8% | 27% | 36% | 22% | 6% | 1% | - |
76 | WU Amelia | - | 3% | 15% | 32% | 32% | 15% | 2% |
77 | ZIGALO Elizabeth | 2% | 12% | 31% | 35% | 17% | 3% | - |
78 | MILEWSKI Nicole | 7% | 26% | 35% | 23% | 8% | 1% | - |
79 | GUMAGAY Erika L. | 7% | 25% | 34% | 23% | 8% | 1% | - |
80 | ZHANG Victoria R. | 16% | 40% | 32% | 11% | 2% | - | |
81 | ALEXANDROV Katherine S. | 12% | 35% | 36% | 15% | 3% | - | |
82 | YANG Alisa | 31% | 43% | 20% | 4% | - | - | |
83 | MAO Amy | 6% | 23% | 34% | 25% | 10% | 2% | - |
84 | ZUHARS Renee A. | 4% | 17% | 32% | 30% | 14% | 3% | - |
84 | KORFONTA Jolie | 2% | 13% | 30% | 33% | 17% | 4% | - |
86 | DESAI Meera P. | 4% | 21% | 37% | 27% | 9% | 1% | - |
87 | DOUGLAS Julia F. | 3% | 15% | 33% | 32% | 15% | 3% | - |
87 | CHOI Eunice | 3% | 16% | 31% | 30% | 15% | 4% | - |
87 | FENG ge | 10% | 30% | 35% | 19% | 5% | 1% | - |
90 | GAO Judy | 15% | 36% | 32% | 14% | 3% | - | - |
91 | DAVIS Jessica L. | 6% | 25% | 37% | 24% | 7% | 1% | - |
92 | REID Sobia | 8% | 31% | 37% | 19% | 4% | - | - |
93 | MCCUTCHEN Lauren (Lulu) | 9% | 31% | 37% | 19% | 4% | - | - |
94 | LEUNG Wan Kiu Hayley | 29% | 41% | 23% | 6% | 1% | - | - |
95 | SWENSON Nikita G. | 20% | 39% | 29% | 10% | 2% | - | - |
96 | WITTER Catherine A. | 26% | 42% | 25% | 7% | 1% | - | - |
97 | MYERS Jeanelle Christina A. | 22% | 40% | 27% | 9% | 2% | - | - |
98 | LEE Yedda | 19% | 38% | 30% | 11% | 2% | - | |
99 | WEISS Talia L. | 6% | 24% | 35% | 25% | 9% | 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.