Richmond, VA, 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 | XIAO Ruien | - | - | - | - | 5% | 30% | 65% |
2 | KETKAR Ketki | - | - | - | - | 1% | 16% | 83% |
3 | O'DONNELL Amanda A. | - | - | - | 1% | 10% | 38% | 51% |
3 | MUELLER Emma M. | 2% | 14% | 34% | 35% | 14% | 2% | |
5 | LEE Natasha | - | - | 3% | 15% | 35% | 36% | 12% |
6 | ZUHARS Renee A. | - | - | - | 2% | 13% | 40% | 44% |
7 | MILEWSKI Nicole | - | - | 1% | 7% | 27% | 43% | 23% |
8 | EDWARDS Auprell | - | 1% | 5% | 21% | 38% | 29% | 7% |
9 | CHEN Lefu | - | - | 4% | 20% | 43% | 33% | |
10 | YU Nicole J. | - | - | 1% | 8% | 27% | 41% | 23% |
11 | GEVA Eliana | 6% | 24% | 35% | 24% | 9% | 2% | - |
12 | GORNOVSKY Abigail | - | 2% | 11% | 29% | 36% | 19% | 3% |
13 | DAMRATOSKI Anna Z. | - | - | 5% | 22% | 44% | 29% | |
14 | RUNIONS Emersyn | - | - | 4% | 16% | 34% | 33% | 12% |
15 | NEELAM Navya | 20% | 41% | 29% | 9% | 1% | - | |
16 | ZHU Serene M. | - | 3% | 16% | 35% | 32% | 13% | 2% |
17 | TOLSMA Chloe (CJ) | - | - | 2% | 13% | 33% | 37% | 15% |
18 | SEBASTIAN Felicity A. | - | - | - | 3% | 16% | 41% | 40% |
19 | LIN Elaine | - | - | 4% | 18% | 38% | 32% | 7% |
20 | KHARCHYNA Polina | - | 1% | 8% | 28% | 42% | 21% | |
21 | BECKMAN Ana | - | 1% | 10% | 30% | 36% | 19% | 4% |
22 | WANG Karen | - | - | - | 2% | 12% | 40% | 47% |
23 | YANG Alisa | - | - | 3% | 13% | 30% | 36% | 17% |
24 | LI Fei | - | 3% | 14% | 33% | 34% | 15% | 2% |
25 | GUJJA Misha | - | 5% | 26% | 38% | 23% | 6% | 1% |
26 | SMUK Alexandra S. | - | 4% | 20% | 39% | 29% | 7% | |
27 | SEMIKIN Julia | - | - | 2% | 12% | 33% | 37% | 16% |
28 | CAPELLUA Mariasole | - | 3% | 15% | 36% | 35% | 11% | |
29 | IYER Ishana | 2% | 12% | 30% | 34% | 18% | 4% | - |
30 | CANNING Charlotte | - | 1% | 12% | 33% | 36% | 15% | 2% |
31 | HAFEEZ Hiba | 1% | 7% | 24% | 37% | 24% | 7% | 1% |
32 | PULLEN Ayah | 7% | 24% | 34% | 24% | 9% | 2% | - |
33 | JOYAL Anne-Sophie | - | - | 5% | 19% | 38% | 31% | 6% |
34 | RANDLEMAN Teresa | - | 3% | 18% | 37% | 32% | 10% | |
35 | KORFONTA Jolie | - | - | - | 1% | 10% | 37% | 52% |
36 | CALDERA Lexi I. | - | - | 4% | 19% | 36% | 31% | 9% |
37 | LEE Claire | - | 5% | 20% | 36% | 29% | 10% | 1% |
38 | KETKAR Mallika | - | - | - | 4% | 19% | 43% | 34% |
39 | SHU Youshan | - | 2% | 11% | 31% | 38% | 17% | 2% |
40 | ZHENG Linden | 4% | 22% | 39% | 26% | 8% | 1% | - |
40 | CHI Chelsea | - | 2% | 12% | 32% | 36% | 16% | 2% |
42 | WONG Alexandra R. | - | 2% | 13% | 32% | 35% | 16% | 3% |
43 | YAO Melinda | - | - | 4% | 17% | 36% | 33% | 10% |
44 | PADHYE Tanishka | - | - | 1% | 10% | 31% | 40% | 17% |
45 | BARG Daniella | - | - | 4% | 16% | 34% | 34% | 13% |
46 | LI Zhenni (Jenny) | - | 2% | 12% | 29% | 34% | 19% | 4% |
47 | YOU Emily | - | 2% | 15% | 35% | 34% | 13% | 1% |
48 | PEHLIVANI Zara | - | 1% | 10% | 32% | 42% | 15% | |
49 | SHIV Avni | - | - | 5% | 20% | 38% | 29% | 7% |
50 | KOZLOWSKI Maya M. | - | 1% | 5% | 22% | 40% | 28% | 4% |
51 | FENG Ge | - | 3% | 12% | 28% | 33% | 19% | 4% |
52 | ZANGA Kaitlyn | 1% | 7% | 23% | 35% | 25% | 9% | 1% |
53 | XIAO Nancy | 1% | 8% | 26% | 36% | 23% | 6% | - |
54 | QI Julieanne | 6% | 29% | 37% | 21% | 6% | 1% | - |
55 | BASRALIAN Azniv | 1% | 10% | 29% | 36% | 20% | 4% | - |
56 | SUN MANRONG | 3% | 18% | 35% | 30% | 12% | 2% | - |
57 | ILYAS Ayah | 24% | 43% | 25% | 7% | 1% | - | - |
58 | ELSTON Sophia | - | 1% | 5% | 21% | 38% | 28% | 6% |
59 | CHANG Celine A. | 12% | 36% | 35% | 14% | 2% | - | |
60 | PRESMAN Aerin | 12% | 35% | 35% | 14% | 2% | - | |
61 | HESS Heidi J. | - | 7% | 27% | 38% | 23% | 5% | |
62 | SONG Angela | - | 1% | 6% | 23% | 39% | 26% | 5% |
63 | CHERNIS Zoe C. | 9% | 34% | 37% | 17% | 3% | - | |
64 | WANG Elizabeth | - | < 1% | - | 3% | 16% | 43% | 38% |
65 | NEMETH Katherine | - | 1% | 6% | 24% | 40% | 25% | 4% |
66 | DOROSHKEVICH Victoria | - | - | 1% | 7% | 25% | 42% | 25% |
67 | FURMAN Maria | 1% | 7% | 23% | 36% | 26% | 7% | - |
68 | PRIHODKO Nina | - | 8% | 29% | 37% | 21% | 4% | |
69 | DESAI Meera P. | - | 1% | 7% | 28% | 43% | 20% | |
70 | MISHIMA Audrey | 1% | 12% | 38% | 34% | 13% | 2% | - |
71 | PATIL Amulya | - | 5% | 21% | 37% | 27% | 8% | 1% |
72 | LIANG Jingjing | 1% | 8% | 27% | 36% | 22% | 6% | - |
73 | CARRIER Meredith | - | 1% | 10% | 31% | 37% | 18% | 3% |
74 | BEAVER Ava | - | 7% | 26% | 38% | 23% | 6% | - |
75 | KORKIN Alice | 2% | 13% | 33% | 36% | 15% | 2% | |
76 | XU Grace (XinYi) | - | 1% | 9% | 30% | 41% | 19% | |
77 | WANG Zoe | 4% | 23% | 39% | 26% | 8% | 1% | |
78 | PECK Maia A. | - | 1% | 11% | 31% | 36% | 17% | 3% |
79 | ANDERSON Claire | 2% | 14% | 32% | 34% | 16% | 3% | - |
80 | PEELER Julia | 1% | 8% | 25% | 35% | 23% | 7% | 1% |
81 | GANSER Nicole | 18% | 39% | 31% | 11% | 2% | - | - |
82 | AZMEH nour | - | 2% | 11% | 30% | 36% | 19% | 3% |
83 | WANG Ziqi (yoyo) | - | 2% | 9% | 25% | 35% | 24% | 6% |
84 | NOVOJILOV Anastasia | 3% | 18% | 39% | 30% | 10% | 1% | - |
85 | QI Jarynne Valerie | - | 1% | 7% | 24% | 38% | 25% | 6% |
86 | CAMPBELL Eva | 10% | 29% | 34% | 20% | 6% | 1% | - |
87 | SHARMA Sanvi | 2% | 18% | 38% | 30% | 10% | 2% | - |
88 | AI Amy | - | 1% | 7% | 24% | 40% | 27% | 2% |
89 | BALAKRISHNAN Trisha | 1% | 13% | 33% | 34% | 15% | 3% | - |
90 | PINNAMANENI Drithi | - | 5% | 21% | 38% | 28% | 8% | 1% |
91 | KALE Anika A. | 1% | 7% | 26% | 39% | 23% | 4% | |
92 | WANG Victoria | 38% | 42% | 17% | 3% | - | - | |
93 | HUANG Lanlan | 4% | 22% | 39% | 27% | 8% | 1% | |
94 | LEE Olivia | - | 2% | 13% | 33% | 37% | 15% | |
95 | ABUELFUTUH Sama | 1% | 20% | 39% | 29% | 9% | 1% | |
96 | ZHU Chenxi (Heidi) | - | - | 2% | 15% | 43% | 39% | |
97 | LI Olivia | 16% | 39% | 33% | 11% | 2% | - | |
98 | KUMAR Eva | 1% | 10% | 30% | 35% | 19% | 4% | - |
99 | SHELIN Chelsea | - | 3% | 15% | 33% | 34% | 14% | 2% |
100 | YUMIACO Nylah | 50% | 39% | 10% | 1% | - | - | - |
100 | MCSWEENEY Janie | 1% | 10% | 26% | 33% | 22% | 7% | 1% |
102 | WITTER Catherine A. | - | - | 4% | 18% | 37% | 32% | 8% |
103 | CHATIKHINE Anastasia | 6% | 26% | 39% | 23% | 6% | 1% | - |
103 | CHANG Chloe | 9% | 37% | 37% | 14% | 2% | - | - |
105 | SMOTRITSKY Liat | 4% | 24% | 38% | 26% | 8% | 1% | - |
106 | KALGAONKAR Arohi | 18% | 39% | 31% | 11% | 2% | - | - |
107 | REKEDA Anna | 9% | 35% | 37% | 16% | 3% | - | - |
108 | BAWA Jenya | 20% | 41% | 29% | 9% | 1% | - | - |
109 | LEE Camilla | 3% | 19% | 37% | 29% | 10% | 2% | - |
110 | SENYUVA Su | 8% | 29% | 38% | 20% | 4% | - | |
111 | SHEFFIELD Skye | 29% | 43% | 22% | 5% | - | - | |
112 | YAO KATHARINE | 16% | 39% | 33% | 11% | 2% | - | |
113 | LIN Victoria T. | 13% | 37% | 35% | 13% | 2% | - | |
114 | DEPOMMIER Isabelle | 3% | 16% | 34% | 31% | 13% | 2% | - |
115 | VARAN Kateryna | 25% | 49% | 22% | 4% | - | - | - |
116 | CHUANG Ramona | 13% | 38% | 35% | 13% | 2% | - | - |
117 | NAKA Emily | 4% | 20% | 36% | 28% | 10% | 1% | - |
118 | KUMAR Anusha | 1% | 13% | 35% | 34% | 14% | 2% | - |
119 | LOZIER Grace | 52% | 38% | 9% | 1% | - | - | - |
119 | MURPHY Katherine | 36% | 43% | 18% | 3% | - | - | - |
119 | MCKENNA Analise | 35% | 43% | 18% | 3% | - | - | - |
119 | MARTINEZ Christina | 12% | 37% | 34% | 14% | 3% | - | - |
123 | YOU Isabel B. | 11% | 39% | 35% | 13% | 2% | - | - |
124 | BI Michelle | 45% | 44% | 9% | 1% | - | - | - |
125 | GAVASHELI Margarita | 47% | 40% | 12% | 1% | - | - | - |
125 | SCANLAN Claire | 19% | 41% | 30% | 9% | 1% | - | - |
127 | LI Yixin Catherine | 49% | 38% | 11% | 2% | - | - | - |
128 | PILSON Rebecca | 29% | 41% | 23% | 6% | 1% | - | - |
129 | ELTERMAN Kate | 28% | 45% | 22% | 4% | - | - | - |
130 | MAGALSKI Mary | 23% | 43% | 26% | 7% | 1% | - | - |
131 | RICHARDS Axelle | 42% | 44% | 12% | 1% | - | - | - |
132 | BENSON Charlotte | 82% | 16% | 1% | - | - | - | |
133 | FENG Iris | 24% | 45% | 24% | 5% | 1% | - | - |
134 | GAN Shelby | 57% | 34% | 8% | 1% | - | - | - |
135 | FANG Kayla | 29% | 51% | 17% | 2% | - | - | - |
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.