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 | ZHANG XUANYI | - | - | - | 4% | 20% | 42% | 33% |
2 | LEOU Korina | - | - | 5% | 21% | 38% | 28% | 7% |
3 | LI Alexis | - | 2% | 11% | 27% | 33% | 21% | 5% |
3 | ZENG Sarah | - | - | 2% | 9% | 27% | 40% | 22% |
5 | PABIAN Emilia | - | - | 3% | 17% | 37% | 33% | 10% |
6 | BOYNTON Ainsley | - | - | 1% | 8% | 27% | 41% | 23% |
7 | FERNANDEZ Martina | - | - | 4% | 17% | 34% | 33% | 12% |
8 | CHIANG Melissa | 2% | 12% | 31% | 35% | 17% | 3% | |
9 | MANKOVA Varvara | 1% | 7% | 23% | 36% | 27% | 8% | |
10 | ZHANG Chenfei | - | - | 4% | 18% | 36% | 32% | 9% |
11 | WANG yining | - | - | 4% | 17% | 34% | 33% | 12% |
12 | KHAN Alissa | - | 1% | 7% | 28% | 43% | 21% | |
13 | GUGALA Hanna | - | 3% | 15% | 33% | 35% | 14% | |
14 | YANG Lea | - | - | 2% | 10% | 28% | 38% | 21% |
15 | TABANGAY Heartlyn | - | - | 1% | 6% | 22% | 41% | 30% |
16 | LIN Nicole | - | - | 1% | 6% | 23% | 41% | 28% |
17 | DONG Angel | - | 1% | 8% | 23% | 34% | 26% | 8% |
18 | CHAN Jolene | - | 5% | 20% | 37% | 30% | 9% | |
18 | FAVO Isabella | - | 1% | 6% | 26% | 43% | 24% | |
20 | SENOGLU Irmak | - | 1% | 9% | 29% | 40% | 20% | |
21 | MAKLIN Sofia | - | - | 4% | 15% | 32% | 34% | 14% |
22 | ZHANG Sophie | - | 2% | 9% | 24% | 34% | 24% | 7% |
23 | MARGULIAN Maria | 1% | 8% | 23% | 33% | 25% | 9% | 1% |
24 | GOLDIN Nina | 1% | 7% | 23% | 36% | 26% | 7% | |
25 | CHRISTOTHOULOU Olympia C. | - | - | 1% | 7% | 26% | 42% | 24% |
26 | SCHAIBLE Sofia L. | - | 1% | 8% | 25% | 36% | 24% | 5% |
27 | LIU Yifei | - | 2% | 12% | 32% | 38% | 16% | |
28 | WEI JoyAnn | - | 3% | 16% | 35% | 33% | 12% | |
29 | CARTER Keely | 1% | 6% | 20% | 32% | 28% | 12% | 2% |
30 | CHI Claire | 18% | 39% | 30% | 11% | 2% | - | |
31 | ZOLLER Noelle | 1% | 8% | 24% | 33% | 24% | 9% | 1% |
32 | LEMUS-IAKOVIDOU ALEXANDRA | - | 4% | 16% | 31% | 31% | 15% | 3% |
33 | DUDNICK Morgan | 1% | 7% | 23% | 34% | 25% | 9% | 1% |
34 | GUVEN Coco | - | 5% | 20% | 36% | 29% | 9% | |
35 | SHINCHUK Ellisha | - | 2% | 12% | 30% | 34% | 18% | 3% |
36 | KURAEVA Vasilisa | - | - | 2% | 12% | 31% | 38% | 17% |
37 | HUCHWAJDA Pola | - | 1% | 8% | 23% | 35% | 26% | 8% |
38 | BAINS Nandini | 6% | 26% | 37% | 23% | 7% | 1% | - |
39 | BUSH Bethany | 1% | 6% | 20% | 32% | 28% | 12% | 2% |
40 | MUNGUIA Mila | 4% | 19% | 34% | 29% | 12% | 2% | - |
41 | MCGRAW Sadie | 3% | 14% | 31% | 32% | 16% | 4% | - |
42 | BUHAY Kirsten M. | - | 2% | 11% | 29% | 36% | 19% | 3% |
43 | MEDVINSKY Alexandra | 2% | 12% | 30% | 34% | 18% | 4% | |
44 | MACKAY Katherine | 19% | 45% | 28% | 7% | 1% | - | |
45 | GOLOVITSER Maya | - | 1% | 6% | 21% | 37% | 28% | 8% |
46 | HORVITZ Jacqueline | 1% | 10% | 31% | 35% | 18% | 4% | - |
47 | PADANILAM Lily | - | 4% | 20% | 36% | 28% | 10% | 1% |
48 | KNOBEL Sophia | - | 3% | 16% | 36% | 32% | 12% | 2% |
49 | WANG Gloria Ruoyan | - | 2% | 9% | 24% | 34% | 24% | 7% |
50 | DHAR Layla | - | 2% | 14% | 32% | 33% | 16% | 3% |
51 | MERCHANT Aishwarya | 1% | 6% | 19% | 33% | 28% | 11% | 2% |
52 | TA-ZHOU Emma | 1% | 8% | 23% | 33% | 25% | 9% | 1% |
53 | RAMIREZ Mirka A. | - | 2% | 9% | 24% | 35% | 24% | 7% |
54 | LOURENCO Alexandra | 16% | 36% | 31% | 13% | 3% | - | - |
55 | HAMMERSTROM Aria | 5% | 23% | 37% | 26% | 8% | 1% | |
56 | XIE Nora | 1% | 11% | 34% | 36% | 15% | 2% | |
57 | WANG JiaQi | 8% | 30% | 36% | 20% | 5% | - | |
58 | XU Emily T. | - | 4% | 15% | 30% | 31% | 16% | 3% |
59 | LEE Alyson | 7% | 26% | 35% | 23% | 8% | 1% | - |
60 | ZHENG Valentina | - | 1% | 6% | 23% | 38% | 27% | 6% |
61 | WU Yuwei | 1% | 9% | 25% | 33% | 23% | 8% | 1% |
62 | HALPERIN Elizabeth H. | 3% | 18% | 35% | 30% | 12% | 2% | |
63 | HUANG Neila | 2% | 14% | 37% | 33% | 12% | 2% | - |
64 | UEMOTO Lynn | 7% | 27% | 36% | 22% | 6% | 1% | - |
65 | SAYSON Andrea | - | 1% | 8% | 24% | 36% | 25% | 6% |
66 | KALISHMAN Anna | 20% | 44% | 28% | 7% | 1% | - | - |
67 | KANDADAI Lara | 1% | 8% | 25% | 35% | 24% | 7% | 1% |
68 | BARROSO Isabela | 11% | 31% | 34% | 18% | 5% | 1% | - |
69 | GOMERMAN Sophia | - | 3% | 16% | 35% | 33% | 12% | |
70 | WALLER London | 6% | 24% | 36% | 25% | 8% | 1% | |
71 | HENRY Soraya S. | - | 3% | 13% | 29% | 33% | 18% | 4% |
72 | PROBASCO Leila | 5% | 20% | 33% | 27% | 12% | 2% | - |
72 | LATYSHAVA Stephanie | 3% | 15% | 31% | 32% | 16% | 4% | - |
74 | NEUMAN Ella | 5% | 22% | 34% | 26% | 10% | 2% | - |
75 | MONTORIO Lily M. | - | 6% | 25% | 36% | 24% | 7% | 1% |
75 | FENG Alicia G. | 1% | 11% | 28% | 35% | 20% | 5% | - |
77 | DEHON Inès | 1% | 5% | 19% | 32% | 29% | 13% | 2% |
78 | CROOKS Riley | 2% | 12% | 29% | 33% | 19% | 5% | - |
79 | NADKARNI Marisa | 4% | 19% | 34% | 28% | 12% | 2% | - |
80 | KRIVOSHEEV Alexandra | 1% | 8% | 25% | 36% | 24% | 6% | |
81 | STONE Coral | 1% | 8% | 23% | 34% | 25% | 8% | 1% |
82 | BERNARD Kathryn | - | 2% | 11% | 28% | 35% | 20% | 4% |
83 | KRASOWITZ Lucy | 6% | 23% | 34% | 25% | 10% | 2% | - |
84 | SHELLEY Scarlett | 23% | 47% | 24% | 5% | - | - | - |
85 | JEFFORDS Sophia | 2% | 12% | 31% | 33% | 17% | 4% | - |
86 | MERMEGAS Olivia | 3% | 31% | 40% | 21% | 5% | 1% | - |
87 | SYED Azra | 39% | 41% | 16% | 3% | - | - | - |
88 | BERRIOS Catalina | 13% | 34% | 33% | 15% | 4% | - | - |
89 | LOPEZ-ONA Mia | 3% | 19% | 36% | 30% | 11% | 2% | |
90 | ONG Lauren | 31% | 42% | 22% | 5% | 1% | - | |
91 | KWON Ava | 12% | 34% | 35% | 16% | 3% | - | |
92 | NAYAK Esha | 3% | 17% | 34% | 31% | 14% | 2% | |
93 | HU Anna | 1% | 8% | 25% | 36% | 24% | 6% | |
93 | ZAWADA Milena | 37% | 41% | 18% | 4% | - | - | |
95 | HITOMI Nadya | 1% | 9% | 31% | 38% | 18% | 3% | |
96 | KIM Karen | 28% | 41% | 23% | 6% | 1% | - | |
97 | GENTILE Vittoria | 17% | 37% | 31% | 13% | 3% | - | - |
98 | ZHANG Ashley | 18% | 36% | 30% | 13% | 3% | - | - |
99 | ELLIS-FURLONG Ava | 8% | 29% | 36% | 21% | 5% | 1% | - |
100 | NAYAK Antara | 23% | 39% | 27% | 9% | 2% | - | - |
101 | XU Demi | 34% | 44% | 19% | 4% | - | - | - |
102 | ZHANG Jiaqing | 17% | 37% | 31% | 12% | 2% | - | - |
103 | SEVASTOPULO Sahra | 37% | 44% | 16% | 3% | - | - | |
104 | LAGOON Miriam | 11% | 31% | 34% | 19% | 5% | 1% | - |
105 | POLSTON Ella | 15% | 35% | 32% | 14% | 3% | - | - |
106 | BANGALORE Shriya | 38% | 45% | 15% | 2% | - | - | - |
107 | KIRBY Skye | 83% | 16% | 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.