Georgia International Convention Center - Atlanta, GA, 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 | VINOGOROVA Sofiia | - | 2% | 13% | 33% | 37% | 15% | |
2 | CHIARELLI Valentina | - | - | 1% | 7% | 23% | 41% | 28% |
3 | LI Alexis | - | 1% | 8% | 22% | 34% | 26% | 8% |
3 | KANG Ellie | - | 3% | 12% | 27% | 33% | 20% | 5% |
5 | LEI Zitong (Meya) | - | 2% | 12% | 29% | 34% | 19% | 4% |
6 | LI Sonia | 1% | 6% | 21% | 34% | 27% | 9% | 1% |
7 | PANTALEON-MAZOLA Amari | - | 1% | 6% | 19% | 34% | 30% | 11% |
8 | GOLDIN Nina | - | - | 4% | 15% | 33% | 34% | 13% |
9 | MALEK Zolie | - | 1% | 4% | 15% | 31% | 34% | 15% |
10 | TA-ZHOU Emma | 2% | 10% | 25% | 32% | 22% | 8% | 1% |
11 | CONG Anne | 1% | 10% | 30% | 37% | 19% | 3% | |
12 | DHAR Layla | - | 1% | 6% | 21% | 35% | 28% | 9% |
13 | WANG Gloria Ruoyan | - | 2% | 8% | 24% | 35% | 25% | 7% |
14 | CHAN Jolene | - | 1% | 8% | 23% | 35% | 26% | 7% |
15 | KURAEVA Vasilisa | - | 2% | 9% | 24% | 34% | 24% | 7% |
16 | KAUL Tara | 9% | 28% | 34% | 21% | 7% | 1% | - |
17 | GUGALA Hanna | - | - | 3% | 15% | 36% | 35% | 11% |
18 | NAYAK Esha | 3% | 16% | 30% | 30% | 16% | 4% | < 1% |
18 | GOLOVITSER Maya | - | 5% | 18% | 32% | 29% | 13% | 2% |
20 | NAIR Supriya | 1% | 15% | 34% | 32% | 15% | 3% | - |
21 | HU Anna | - | 1% | 6% | 19% | 34% | 30% | 10% |
22 | LO Chloe | 1% | 7% | 22% | 33% | 26% | 10% | 1% |
23 | LITTLE Avery | - | 1% | 5% | 18% | 34% | 31% | 11% |
24 | PABIAN Emilia | - | 1% | 8% | 25% | 38% | 23% | 5% |
25 | UEMOTO Lynn | 8% | 27% | 34% | 22% | 8% | 1% | - |
26 | HAMMERSTROM Aria | 1% | 7% | 26% | 38% | 23% | 5% | |
27 | GOMERMAN Sophia | - | 3% | 15% | 36% | 36% | 11% | |
28 | CALLAHAN Chase J. | - | - | - | 1% | 10% | 36% | 52% |
29 | YUEN Nicole | - | 6% | 21% | 34% | 27% | 10% | 1% |
30 | DANG Kelia | - | 1% | 6% | 19% | 33% | 30% | 11% |
31 | WUNNAVA Ellora | 3% | 17% | 33% | 30% | 14% | 3% | - |
32 | HUANG Neila | 10% | 29% | 34% | 20% | 6% | 1% | - |
33 | MEYERSON Michelle | 2% | 14% | 32% | 32% | 16% | 4% | < 1% |
34 | CHOI Charlotte | 2% | 16% | 36% | 32% | 12% | 1% | |
35 | YU Holly | - | 2% | 13% | 33% | 37% | 15% | |
36 | LIU kai yin aria | 1% | 6% | 20% | 32% | 27% | 11% | 2% |
37 | WANG Jiayi | 2% | 13% | 29% | 31% | 18% | 6% | 1% |
38 | CHI Claire | 1% | 6% | 20% | 34% | 28% | 10% | 1% |
39 | LUKER Sophia | - | - | - | 4% | 20% | 43% | 32% |
40 | HENRY Soraya S. | - | 2% | 9% | 24% | 35% | 24% | 6% |
41 | MACKAY Katherine | 1% | 6% | 20% | 32% | 27% | 12% | 2% |
42 | MEDVINSKY Alexandra | - | 2% | 12% | 28% | 34% | 20% | 4% |
43 | HU Michelle | - | 3% | 13% | 29% | 33% | 18% | 4% |
44 | TSE Angelina | - | - | 2% | 11% | 29% | 38% | 19% |
45 | KIM Satie | 4% | 19% | 33% | 28% | 12% | 3% | - |
46 | HALPERIN Elizabeth H. | 2% | 12% | 28% | 32% | 19% | 5% | 1% |
47 | LOMOTAN Addison | 3% | 14% | 30% | 31% | 17% | 4% | - |
48 | KRIVOSHEEV Alexandra | - | 6% | 20% | 33% | 28% | 12% | 2% |
49 | BUSH Bethany | - | 2% | 13% | 30% | 33% | 17% | 3% |
50 | GONG Joy | 1% | 8% | 23% | 32% | 25% | 10% | 2% |
51 | XIE Nora | - | 3% | 14% | 29% | 33% | 17% | 3% |
52 | PADANILAM Lily | 2% | 13% | 28% | 31% | 19% | 6% | 1% |
53 | FAN Alexandria | - | 3% | 13% | 28% | 32% | 19% | 4% |
53 | LI Yitong | 4% | 18% | 33% | 29% | 13% | 3% | - |
55 | TONG Laurie | 7% | 24% | 34% | 24% | 9% | 2% | - |
56 | CHANG Norah | 5% | 23% | 37% | 26% | 8% | 1% | - |
57 | CHEN Kevy | 1% | 7% | 22% | 32% | 26% | 10% | 2% |
57 | JOHNSON Neema | 12% | 32% | 34% | 17% | 4% | 1% | - |
59 | SAYSON Andrea | - | 3% | 14% | 30% | 32% | 17% | 4% |
60 | ELLIS-FURLONG Ava | 4% | 17% | 31% | 29% | 15% | 4% | - |
61 | LOURENCO Alexandra | 12% | 30% | 33% | 19% | 6% | 1% | - |
62 | BUHAY Kirsten M. | - | 4% | 15% | 30% | 31% | 16% | 3% |
63 | STADNIK Emilia | 10% | 36% | 36% | 15% | 3% | - | |
64 | NAYAK Antara | 3% | 20% | 36% | 28% | 11% | 2% | - |
65 | DANTULURI Shalini | - | 1% | 8% | 22% | 33% | 27% | 9% |
66 | MERCHANT Aishwarya | - | 3% | 12% | 27% | 33% | 21% | 5% |
67 | KONDEV Elizabeth | - | - | 3% | 14% | 32% | 35% | 15% |
68 | NIU Jessica | 6% | 22% | 33% | 26% | 11% | 2% | - |
69 | MARGULIAN Maria | - | 4% | 18% | 34% | 29% | 12% | 2% |
70 | LUKER Hannah | - | 4% | 18% | 34% | 30% | 12% | 2% |
71 | TABANGAY Heartlyn | - | - | 1% | 7% | 24% | 40% | 28% |
72 | GRAJALES Hannah E. | - | - | 4% | 17% | 34% | 33% | 12% |
73 | BERMAN greta | - | 1% | 6% | 20% | 35% | 29% | 9% |
74 | DUDNICK Morgan | - | 4% | 14% | 29% | 31% | 18% | 4% |
75 | KHAN Alissa | - | 2% | 9% | 23% | 34% | 25% | 7% |
75 | CHIANG Melissa | - | 3% | 15% | 31% | 31% | 16% | 3% |
77 | BAINS Nandini | 8% | 27% | 35% | 22% | 7% | 1% | - |
78 | LEE Alyson | - | 3% | 15% | 32% | 32% | 15% | 3% |
78 | BROWN Aria | 2% | 11% | 27% | 32% | 20% | 6% | 1% |
80 | HAN Emma | 2% | 12% | 31% | 34% | 17% | 4% | - |
81 | SCHAIBLE Sofia L. | - | 4% | 17% | 32% | 30% | 14% | 2% |
82 | KU Alathea-Joy | 1% | 8% | 22% | 32% | 25% | 10% | 2% |
83 | GENTILE Vittoria | 1% | 14% | 33% | 32% | 16% | 4% | - |
84 | DIECK Miranda P. | 2% | 11% | 28% | 33% | 20% | 6% | 1% |
84 | MERMEGAS Olivia | 2% | 10% | 26% | 32% | 22% | 7% | 1% |
86 | DAMBAL Sasha | 1% | 7% | 22% | 33% | 26% | 10% | 1% |
87 | KINKADE Ellie | - | 1% | 7% | 24% | 36% | 25% | 7% |
88 | LIU Hannah | - | 4% | 15% | 30% | 31% | 16% | 3% |
89 | MUNGUIA Mila | 1% | 10% | 26% | 33% | 22% | 7% | 1% |
90 | KWON Ava | 4% | 19% | 33% | 29% | 13% | 3% | - |
91 | KNOBEL Sophia | 1% | 6% | 20% | 32% | 28% | 12% | 2% |
92 | JEFFORDS Sophia | 6% | 24% | 35% | 25% | 9% | 2% | - |
93 | WONG Natalie | 2% | 11% | 26% | 33% | 21% | 7% | 1% |
94 | LU QIWEN | 50% | 37% | 11% | 2% | - | - | - |
95 | SINGER Ellery | 3% | 19% | 37% | 30% | 10% | 1% | |
96 | LISSO Ria A. | - | - | 3% | 18% | 42% | 36% | |
97 | KIRBY Skye | 39% | 41% | 16% | 3% | - | - | |
98 | OCA Merci | 4% | 20% | 35% | 28% | 11% | 2% | - |
99 | ZAWADA Milena | 14% | 34% | 33% | 16% | 4% | - | - |
100 | HUANG Pierra | 8% | 35% | 36% | 16% | 4% | - | - |
101 | CHAVAN Arya | - | 1% | 6% | 21% | 35% | 28% | 9% |
101 | CHEN Elaine | - | 3% | 12% | 27% | 33% | 20% | 5% |
103 | CARTER Keely | - | 3% | 12% | 27% | 33% | 21% | 5% |
103 | NADKARNI Marisa | 4% | 18% | 31% | 29% | 14% | 4% | - |
105 | CASTELO Soleil | 10% | 30% | 34% | 19% | 6% | 1% | - |
106 | SPEARS Mya B | - | - | 3% | 15% | 33% | 35% | 14% |
107 | LIN Annika | 4% | 18% | 32% | 29% | 14% | 3% | - |
108 | AWAD Royce | 2% | 13% | 28% | 31% | 19% | 6% | 1% |
109 | LIU Hannah | 14% | 34% | 32% | 16% | 4% | 1% | - |
110 | MYAT Chloe | 1% | 7% | 20% | 32% | 27% | 11% | 2% |
110 | ONG Lauren | 6% | 23% | 34% | 25% | 10% | 2% | - |
112 | RANDALL-COLLINS Shea M. | 12% | 31% | 33% | 18% | 5% | 1% | - |
112 | DONDERIS Katherine | 2% | 12% | 27% | 32% | 20% | 7% | 1% |
114 | REN Katherine | 11% | 30% | 34% | 19% | 5% | 1% | - |
115 | TURIANO Nadelle | 5% | 25% | 38% | 25% | 7% | 1% | |
116 | SADANI Jyotika | 9% | 29% | 34% | 20% | 6% | 1% | - |
117 | HORVITZ Jacqueline | 2% | 13% | 28% | 31% | 19% | 6% | 1% |
118 | XU Emily T. | - | 1% | 8% | 24% | 35% | 25% | 7% |
119 | DEHON Inès | 2% | 12% | 28% | 32% | 19% | 6% | 1% |
120 | GAY Sasha | - | 3% | 13% | 30% | 34% | 17% | 3% |
121 | DHAR Rana | 9% | 28% | 34% | 21% | 7% | 1% | - |
122 | POLSTON Ella | 16% | 35% | 31% | 14% | 4% | - | - |
123 | XIAO Cindy | 4% | 19% | 33% | 29% | 13% | 3% | - |
124 | BARRERA Aurora | 12% | 33% | 33% | 17% | 4% | 1% | - |
125 | COOVADIA Malina | 17% | 37% | 31% | 13% | 3% | - | - |
126 | DANTULURI Shivani | 20% | 40% | 29% | 9% | 1% | - | - |
127 | FLEEGER Sophia | 46% | 40% | 12% | 2% | - | - | |
128 | PANCHAL Arya | 69% | 26% | 4% | - | - | - | - |
129 | LAGOON Miriam | 11% | 33% | 35% | 16% | 4% | - | - |
130 | BANGALORE Shriya | 47% | 38% | 13% | 2% | - | - | - |
131 | WILFRET Katerina | 54% | 36% | 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.