La Jolla, CA - La Jolla, CA, 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 | NISHIMURA Madeleine A. | 100% | 100% | 100% | 99% | 91% | 65% | 25% |
2 | YEH Samantha | 100% | 100% | 100% | 100% | 97% | 74% | 12% |
3 | COLA Emmanuelle (Emma) R. | 100% | 100% | 100% | 98% | 86% | 48% | |
3 | YAMAGUCHI Kate M. | 100% | 100% | 100% | 98% | 82% | 42% | 5% |
5 | LEE Alina | 100% | 100% | 100% | 99% | 91% | 66% | 26% |
6 | YAROSHENKO Karina | 100% | 100% | 100% | 100% | 99% | 93% | 61% |
7 | PETROVA Kristina | 100% | 99% | 94% | 74% | 39% | 10% | |
8 | LU Tiffany J. | 100% | 100% | 100% | 100% | 100% | 95% | 67% |
9 | KNIGHT Skylar | 100% | 100% | 100% | 100% | 100% | 95% | 65% |
10 | KIM Kayla A. | 100% | 100% | 97% | 83% | 49% | 16% | 2% |
11 | LEE Brianna J. | 100% | 100% | 100% | 100% | 97% | 72% | |
12 | KIM Alyssa | 100% | 98% | 83% | 44% | 10% | 1% | |
13 | TRAN Ava D. | 100% | 100% | 98% | 89% | 64% | 28% | 5% |
14 | YANKOVSKIY Anastasia | 100% | 100% | 100% | 100% | 100% | 98% | 76% |
15 | CHO Gracie L. | 100% | 100% | 99% | 88% | 54% | 16% | 1% |
16 | CHO Cameron S. | 100% | 100% | 99% | 80% | 38% | 9% | 1% |
17 | LOCKE Savannah | 100% | 100% | 99% | 84% | 44% | 11% | 1% |
18 | CHEN Cynthia | 100% | 79% | 37% | 9% | 1% | - | |
19 | PARK Rowan M. | 100% | 100% | 100% | 96% | 74% | 31% | 2% |
20 | KHOO Lauren A. | 100% | 100% | 96% | 79% | 43% | 11% | 1% |
21 | SUH Kailey E. | 100% | 100% | 94% | 73% | 37% | 11% | 1% |
22 | DE LA CRUZ Ava | 100% | 100% | 100% | 90% | 56% | 18% | 2% |
23 | KONG Chin-Yi | 100% | 99% | 89% | 63% | 28% | 6% | |
24 | DE LA CRUZ Alyssa | 100% | 99% | 87% | 51% | 14% | 1% | |
25 | UYANIK Nerine | 100% | 100% | 94% | 71% | 32% | 5% | |
26 | CHO Taylor S. | 100% | 98% | 84% | 53% | 20% | 3% | |
27 | TAN Clarisse | 100% | 99% | 89% | 59% | 24% | 5% | - |
28 | WU Kyra | 100% | 99% | 87% | 56% | 21% | 3% | - |
29 | OBEDIN Lara | 100% | 90% | 59% | 23% | 4% | - | |
30 | KALOPER Sofia | 100% | 89% | 53% | 17% | 2% | - | |
31 | DE LA CRUZ Eden | 100% | 97% | 75% | 32% | 7% | 1% | - |
32 | DUAN Konnie | 100% | 96% | 78% | 45% | 15% | 2% | |
33 | YHIP Mikaela M. | 100% | 100% | 99% | 90% | 60% | 21% | 2% |
34 | JO Mia C. | 100% | 100% | 98% | 88% | 61% | 26% | 5% |
35 | OH Erin H. | 100% | 98% | 85% | 50% | 15% | 1% | - |
36 | SEAL Grace (Gracie) C. | 100% | 100% | 98% | 87% | 57% | 22% | 3% |
37 | WANG Christine | 100% | 100% | 98% | 86% | 51% | 13% | 1% |
38 | FAN Elaine | 100% | 82% | 46% | 15% | 3% | - | |
39 | FERNANDES Thea | 100% | 98% | 85% | 54% | 21% | 3% | |
40 | KIM Katherine | 100% | 100% | 97% | 81% | 39% | 3% | |
41 | GOMES Rafaella T. | 100% | 100% | 100% | 96% | 73% | 31% | 3% |
42 | YANG Blanche | 100% | 96% | 74% | 35% | 9% | 1% | - |
43 | KUEN Erica | 100% | 97% | 81% | 46% | 13% | 1% | - |
44 | ALTEN Ayaka | 100% | 100% | 97% | 84% | 52% | 19% | 3% |
45 | THOMAS Aaria S. | 100% | 95% | 69% | 33% | 9% | 1% | - |
46 | MULLENEX Laura | 100% | 74% | 6% | - | - | - | - |
47 | WANG Yiran (Cindy) | 100% | 65% | 20% | 3% | - | - | - |
48 | KANG Jiyoon | 100% | 94% | 67% | 28% | 6% | - | |
50 | LAI Annika | 100% | 60% | 18% | 2% | - | - | - |
50 | YANKOPOULOS Alexis | 100% | 60% | 19% | 3% | - | - | - |
52 | KIM Hyunchae Y. | 100% | 86% | 42% | 9% | 1% | - | - |
53 | VOHRA Anusha | 100% | 92% | 62% | 24% | 4% | - | - |
54 | NGUYEN Rebecca | 100% | 98% | 82% | 46% | 15% | 2% | - |
55 | KUMAR Anmol | 100% | 71% | 29% | 6% | - | - | - |
56 | PRIETO Sofia M. | 100% | 53% | 10% | 1% | - | - | |
57 | SHIH Diane | 100% | 99% | 89% | 59% | 21% | 2% | |
58 | HSIUNG Samantha | 100% | 75% | 27% | 4% | - | - | - |
59 | VENFORD Annetta S. | 100% | 32% | 2% | - | - | - | - |
60 | SHUM Elizabeth | 100% | 39% | 7% | 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.