Main Hall Dallas Market Center - Dallas, TX, USA
Explore the probability of achieving at least a certain number of victories in the pool 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 | OLELE Ifechi | 100% | 100% | 100% | 100% | 100% | 98% | 76% |
2 | LI Anna | 100% | 100% | 100% | 98% | 89% | 62% | 21% |
3 | LI Allison | 100% | 96% | 65% | 24% | 4% | < 1% | |
3 | XIONG Alice | 100% | 100% | 100% | 97% | 82% | 48% | 13% |
5 | YU Chloe | 100% | 100% | 100% | 96% | 81% | 50% | 15% |
6 | XIAO Ashley | 100% | 100% | 99% | 91% | 65% | 24% | 2% |
7 | WANG Yvonne | 100% | 100% | 96% | 81% | 51% | 20% | 3% |
8 | VEGA-BRANDT Gabriella | 100% | 100% | 98% | 86% | 58% | 23% | 4% |
9 | YOUNG Nicole | 100% | 100% | 100% | 99% | 95% | 76% | 35% |
10 | JUBILEE Beata | 100% | 100% | 99% | 94% | 70% | 25% | |
11 | RAJ Indra | 100% | 100% | 95% | 79% | 49% | 18% | 3% |
12 | VIJAY Vaishnavi | 100% | 100% | 100% | 99% | 95% | 74% | 31% |
13 | LAI Juliet | 100% | 98% | 86% | 57% | 24% | 5% | - |
14 | PEKKER Amina | 100% | 100% | 99% | 94% | 75% | 39% | 9% |
15 | ANDRUS Allie | 100% | 100% | 98% | 88% | 59% | 19% | |
16 | LEONG Andrea | 100% | 97% | 79% | 43% | 13% | 1% | |
17 | LI Ariel | 100% | 100% | 100% | 95% | 72% | 27% | |
18 | LIU Brinley | 100% | 99% | 94% | 74% | 39% | 9% | 1% |
19 | SHI Elle | 100% | 99% | 91% | 64% | 27% | 5% | - |
20 | XIE ANDREA | 100% | 100% | 100% | 96% | 82% | 48% | 13% |
21 | ILYAS Daanya | 100% | 94% | 70% | 33% | 8% | 1% | - |
22 | VARIPILLI Saanvika | 100% | 100% | 99% | 92% | 65% | 25% | 2% |
23 | LIN Gianna | 100% | 99% | 89% | 58% | 22% | 4% | - |
24 | DEFENSOR Ella | 100% | 91% | 62% | 27% | 7% | 1% | - |
25 | CHEN Stephanie | 100% | 100% | 95% | 77% | 41% | 10% | |
26 | BUZZINI Julia | 100% | 96% | 76% | 43% | 15% | 3% | - |
27 | ZHANG Joy | 100% | 98% | 84% | 55% | 23% | 5% | - |
28 | BOBE Arianna | 100% | 99% | 88% | 54% | 16% | 2% | |
29 | CHAN Faith Sum Yin | 100% | 95% | 71% | 32% | 7% | 1% | |
30 | ZHANG Avery | 100% | 99% | 87% | 54% | 17% | 1% | |
31 | CHEN Aimee | 100% | 100% | 100% | 97% | 82% | 47% | 12% |
32 | YUSHCHENKO Ivanka | 100% | 94% | 64% | 25% | 5% | - | - |
33 | ANDRADE Elizabeth | 100% | 100% | 99% | 92% | 63% | 20% | |
34 | URICHECK Julianna | 100% | 94% | 68% | 29% | 6% | - | |
35 | YADAGIRI Aditi | 100% | 95% | 73% | 38% | 11% | 2% | - |
36 | SHEN Isabella | 100% | 76% | 33% | 7% | 1% | - | |
37 | YINGLING Dinah | 100% | 100% | 99% | 94% | 65% | 14% | |
38 | BHATIA Bira | 100% | 93% | 66% | 29% | 7% | 1% | - |
39 | CHOI Noah | 100% | 92% | 65% | 29% | 7% | 1% | - |
40 | CHUNG Yenna | 100% | 100% | 94% | 72% | 38% | 11% | 1% |
41 | WU Angela | 100% | 97% | 78% | 40% | 10% | 1% | - |
42 | KUO Stella | 100% | 99% | 86% | 53% | 18% | 3% | - |
43 | RAO Aria | 100% | 100% | 100% | 96% | 76% | 37% | 8% |
44 | COONEY Kyla | 100% | 97% | 82% | 51% | 19% | 4% | - |
45 | DOAN Han | 100% | 88% | 53% | 19% | 4% | - | - |
46 | SRIKUMAR Nikita | 100% | 80% | 41% | 12% | 2% | - | |
47 | LOO Samantha | 100% | 98% | 83% | 48% | 14% | 1% | |
48 | RYU Natalee | 100% | 86% | 49% | 15% | 2% | - | |
49 | CHANEY Evelyn | 100% | 99% | 94% | 75% | 42% | 14% | 2% |
50 | WANG Jenny | 100% | 87% | 53% | 19% | 4% | - | - |
51 | RANGEL SANTANA Sophia | 100% | 79% | 41% | 13% | 2% | - | - |
52 | ALDE Lilly | 100% | 90% | 56% | 20% | 3% | - | - |
53 | LAU Ally | 100% | 100% | 88% | 54% | 18% | 3% | - |
54 | KARTHIKEYAN Lakshna | 100% | 53% | 14% | 2% | - | - | - |
55 | LEE Iona | 100% | 98% | 85% | 56% | 24% | 6% | 1% |
56 | BRAININ Isabella | 100% | 100% | 92% | 65% | 29% | 7% | 1% |
57 | TUMULA Anima | 100% | 39% | 7% | 1% | - | - | |
58 | SHKAPINA Arina | 100% | 100% | 94% | 72% | 37% | 10% | 1% |
59 | STEPHENS Alice | 100% | 99% | 85% | 48% | 13% | 1% | |
60 | LATAWA Navya | 100% | 60% | 18% | 3% | - | - | - |
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.