Suffern, NY - Suffern, NY, 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 | FERRARI Christina M. | - | - | - | 3% | 17% | 41% | 38% |
2 | HARFELD Skylar | - | 2% | 10% | 26% | 34% | 22% | 5% |
3 | CHUSID Renata M. | - | - | - | - | 6% | 33% | 60% |
3 | KOKES Gabrielle | - | 1% | 10% | 32% | 38% | 17% | 2% |
5 | MAK Tinney | - | - | - | 1% | 9% | 36% | 55% |
6 | THOMPSON Julia T. | - | 1% | 6% | 20% | 34% | 29% | 10% |
7 | BREKER Anika | - | 1% | 6% | 24% | 39% | 26% | 4% |
8 | GONG Christina S. | 1% | 9% | 33% | 38% | 17% | 3% | - |
9 | ZHENG Vivian | - | 2% | 12% | 33% | 36% | 16% | 2% |
10 | ALFONSO Czarina M. | 1% | 7% | 23% | 34% | 25% | 9% | 1% |
11 | YUGOV Elizabeth (Liz) | 4% | 18% | 32% | 29% | 14% | 3% | - |
12 | SERBAN Samantha M. | - | - | 3% | 18% | 39% | 33% | 6% |
13 | KIM Rachael | - | 4% | 21% | 38% | 28% | 8% | 1% |
14 | JING Alexandra | - | 2% | 11% | 26% | 34% | 22% | 5% |
15 | SHEN Sophia H. | 3% | 14% | 31% | 32% | 16% | 4% | - |
16 | LEVI Lea | - | 4% | 17% | 32% | 31% | 14% | 2% |
17 | HOOSHI Erica S. | - | 3% | 14% | 30% | 32% | 16% | 3% |
18 | KIM Lauren Hyomin | 13% | 33% | 33% | 16% | 4% | 1% | - |
19 | HE Xiangxin | - | 4% | 22% | 39% | 27% | 7% | - |
20 | ZHENG Ivy | - | 3% | 16% | 33% | 32% | 14% | 2% |
21 | MUZZI Jessica | - | 12% | 33% | 35% | 16% | 3% | - |
22 | SADAN Jordan E. | 3% | 15% | 31% | 31% | 16% | 4% | - |
23 | BANIN Isabelle J. | 32% | 43% | 21% | 4% | - | - | - |
24 | LIU Alice M. | 2% | 27% | 42% | 23% | 5% | - | - |
25 | NICOU Melina | 63% | 32% | 5% | - | - | - | - |
26 | SHAW Kayla M. | 15% | 36% | 32% | 14% | 3% | - | - |
27 | YU Jaime L. | 12% | 49% | 31% | 7% | 1% | - | - |
28 | TOBIN Brean | 85% | 14% | 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.