La Jolla, CA - La Jolla, CA, 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 | LIAO Madeline M. | - | 1% | 7% | 23% | 36% | 26% | 7% |
2 | KNIGHT Skylar | - | - | 1% | 11% | 39% | 49% | |
3 | BIASCO Anna | - | 1% | 11% | 34% | 41% | 13% | |
3 | BHANOT Gayatri | - | - | 2% | 14% | 42% | 42% | |
5 | TAN Elisha | - | - | - | 3% | 15% | 40% | 41% |
6 | IBEN Claire L. | - | 3% | 19% | 40% | 31% | 7% | |
7 | LEE Alina | 1% | 6% | 19% | 34% | 29% | 11% | 1% |
8 | FERNANDES Thea | 2% | 12% | 28% | 34% | 20% | 5% | |
9 | NISHIMURA Madeleine A. | - | - | 1% | 9% | 28% | 41% | 20% |
10 | LU Tiffany J. | - | - | 3% | 18% | 45% | 34% | |
11 | YANKOVSKIY Anastasia | - | - | 1% | 8% | 39% | 52% | |
12 | MASUI Konami W. | - | - | 5% | 23% | 38% | 26% | 6% |
13 | CHO Taylor S. | - | 5% | 21% | 35% | 28% | 10% | 1% |
14 | MCBRYAN Teresa N. | 1% | 10% | 32% | 39% | 17% | 1% | |
15 | GOMES Rafaella T. | - | - | 2% | 12% | 31% | 37% | 17% |
16 | COLA Emmanuelle (Emma) R. | 2% | 14% | 32% | 33% | 16% | 3% | |
17 | LEE Brianna J. | - | - | 1% | 7% | 36% | 56% | |
18 | LUONG Joanne K. | - | 6% | 24% | 39% | 25% | 5% | |
19 | MERGES Gretl C. | 4% | 19% | 34% | 29% | 12% | 2% | |
20 | PETROVA Kristina | - | - | 3% | 15% | 32% | 35% | 14% |
21 | CHO Gracie L. | - | 3% | 16% | 35% | 33% | 12% | 1% |
22 | UYANIK Nerine | - | 3% | 13% | 30% | 33% | 17% | 3% |
23 | SEAL Julie T. | - | 1% | 6% | 20% | 35% | 29% | 9% |
24 | CHO Cameron S. | 1% | 10% | 29% | 34% | 20% | 5% | - |
25 | FAN Elaine | 6% | 24% | 35% | 25% | 9% | 2% | - |
26 | DUAN Konnie | 5% | 23% | 39% | 27% | 7% | - | |
27 | KONG Chin-Yi | 2% | 14% | 30% | 33% | 18% | 4% | |
28 | ZAROFF Roxanne | - | 1% | 9% | 34% | 42% | 16% | |
29 | FOELLMER Lena | 3% | 16% | 34% | 32% | 13% | 2% | |
30 | DE LA CRUZ Alyssa | 22% | 43% | 28% | 7% | 1% | - | |
31 | LOCKE Savannah | 2% | 13% | 31% | 33% | 17% | 4% | - |
32 | YU Seneca | 1% | 6% | 22% | 35% | 26% | 9% | 1% |
33 | YAMAGUCHI Kate M. | - | - | 4% | 18% | 36% | 31% | 10% |
34 | YHIP Mikaela M. | 1% | 14% | 39% | 34% | 10% | 1% | |
35 | KIM Kayla A. | - | 3% | 15% | 33% | 32% | 14% | 2% |
36 | FRANCO Isabella P. | - | 3% | 14% | 31% | 33% | 16% | 2% |
37 | THOMAS Aaria S. | 4% | 23% | 37% | 25% | 8% | 1% | - |
38 | KHOO Lauren A. | 1% | 13% | 42% | 33% | 10% | 1% | |
39 | TRAN Ava D. | - | 7% | 28% | 41% | 21% | 2% | |
40 | PARK Rowan M. | - | 3% | 22% | 47% | 26% | 3% | |
41 | ALTEN Ayaka | 7% | 24% | 35% | 25% | 9% | 1% | |
42 | WANG Christine | - | 2% | 15% | 41% | 36% | 5% | |
43 | VERKHOVODOVA Polina | 4% | 24% | 40% | 25% | 6% | - | |
44 | TAN Clarisse | 1% | 21% | 47% | 26% | 5% | - | |
45 | CALLAGHAN Caitlyn M. | 3% | 22% | 41% | 28% | 6% | - | |
46 | MING YUE | 14% | 36% | 33% | 14% | 3% | - | - |
47 | DE LA CRUZ Eden | 3% | 16% | 33% | 31% | 14% | 3% | - |
48 | OBEDIN Lara | 2% | 36% | 41% | 17% | 3% | - | |
49 | DE LA CRUZ Ava | 3% | 18% | 37% | 31% | 10% | 1% | |
50 | KUEN Erica | 40% | 43% | 15% | 2% | - | - | |
51 | YANG Blanche | 5% | 34% | 40% | 18% | 3% | - | |
52 | WU Kyra | 2% | 11% | 29% | 34% | 20% | 4% | |
53 | SEAL Grace (Gracie) C. | 1% | 15% | 38% | 34% | 11% | 1% | |
54 | SHUM Elizabeth | 81% | 18% | 1% | - | - | - | |
55 | OH Erin H. | 1% | 6% | 22% | 36% | 27% | 8% | 1% |
56 | KIM Hyunchae Y. | 23% | 43% | 26% | 7% | 1% | - | - |
57 | KIM Alyssa | 2% | 15% | 33% | 33% | 15% | 3% | - |
58 | LAI Annika | 47% | 40% | 11% | 1% | - | - | |
58 | WANG Yiran (Cindy) | 70% | 26% | 3% | - | - | - | |
60 | PRIETO Sofia M. | 24% | 46% | 24% | 5% | - | - | |
61 | SANDVIK Clarissa A. | 27% | 41% | 24% | 7% | 1% | - | - |
62 | KUMAR Anmol | 28% | 45% | 22% | 5% | - | - | - |
62 | HSIUNG Samantha | 12% | 34% | 34% | 16% | 4% | - | - |
64 | CRAIG Chris | 34% | 41% | 19% | 5% | 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.