Ontario Convention Center - Hall A & B - Ontario, 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 | ZHANG XUANYI | - | - | 1% | 9% | 32% | 43% | 15% |
2 | LIN Elaine | - | 1% | 6% | 21% | 36% | 28% | 8% |
3 | LEI Zitong (Meya) | - | 1% | 5% | 19% | 36% | 31% | 9% |
3 | TENG EMMA | 1% | 6% | 19% | 32% | 28% | 12% | 2% |
5 | GAIKWAD Ashmiee | - | 4% | 19% | 35% | 29% | 11% | 1% |
6 | LEE Irene | 2% | 14% | 32% | 33% | 16% | 3% | - |
7 | WANG Jiayi | 55% | 36% | 9% | 1% | - | < 1% | - |
8 | SUNG Isabella | - | 2% | 10% | 26% | 37% | 23% | 3% |
9 | WU Daisy | - | - | 1% | 5% | 19% | 40% | 34% |
10 | LIU kai yin aria | 12% | 35% | 35% | 15% | 3% | - | - |
11 | NING Lynn | - | 2% | 9% | 25% | 35% | 24% | 6% |
12 | CAI Joanna | 2% | 11% | 27% | 33% | 20% | 6% | 1% |
13 | CAI Veronica | 1% | 11% | 28% | 34% | 20% | 6% | 1% |
14 | LONG Jessie | 1% | 10% | 26% | 33% | 22% | 7% | 1% |
15 | TONG Laurie | 14% | 35% | 33% | 15% | 3% | - | - |
16 | LI Tiffany | - | 3% | 15% | 33% | 33% | 14% | 2% |
17 | HSIEH Lucia | - | 1% | 6% | 24% | 37% | 26% | 6% |
18 | JOHNSON Heaven | - | 3% | 13% | 27% | 32% | 20% | 5% |
19 | VENNE Sophie | 8% | 28% | 36% | 21% | 6% | 1% | - |
20 | SHEN Elise | 2% | 11% | 29% | 35% | 19% | 4% | - |
21 | GONG suri | 4% | 18% | 33% | 29% | 13% | 3% | - |
22 | LONG Chloe | 1% | 8% | 27% | 35% | 22% | 7% | 1% |
23 | DANG Madeleine | 4% | 25% | 40% | 25% | 6% | 1% | - |
24 | DING Jolie | - | 5% | 21% | 37% | 27% | 9% | 1% |
25 | GROSSMAN Elizabeth | - | 1% | 9% | 28% | 39% | 21% | 2% |
26 | STAPLEY Claire | 2% | 11% | 27% | 33% | 21% | 7% | 1% |
27 | WANG Makayla | 4% | 17% | 31% | 29% | 15% | 4% | - |
27 | ROXWORTHY Chloe | 14% | 34% | 32% | 15% | 4% | - | - |
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.