Secaucus, NJ - Secaucus, NJ, 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 | HE Lizbeth | - | 4% | 16% | 30% | 31% | 16% | 3% |
2 | SO Catelyn | - | - | 1% | 10% | 30% | 40% | 19% |
3 | MAKLIN Sofia | - | 1% | 7% | 21% | 34% | 28% | 9% |
3 | YOUNG Audrey | - | 4% | 19% | 38% | 31% | 8% | < 1% |
5 | LIU Leran | - | - | 1% | 9% | 31% | 40% | 18% |
6 | YOUNG Charlotte G. | - | 1% | 5% | 20% | 37% | 30% | 8% |
7 | BERMAN Greta | - | - | - | 4% | 30% | 57% | 9% |
8 | SHUMAKIN Alisa | 2% | 11% | 27% | 33% | 21% | 6% | 1% |
9 | TSUI Natalie | 4% | 20% | 35% | 29% | 10% | 2% | - |
10 | XU Alina | 7% | 29% | 40% | 20% | 4% | - | - |
11 | SPEARS Mya B | 1% | 5% | 20% | 34% | 28% | 10% | 1% |
12 | CHIARELLI Valentina | - | - | - | 2% | 11% | 38% | 49% |
13 | LEMUS-IAKOVIDOU Alexandra | 4% | 17% | 31% | 29% | 15% | 4% | - |
14 | MCKEE Brynnley | 25% | 41% | 25% | 7% | 1% | - | - |
15 | BERRIOS Catalina | 1% | 8% | 24% | 34% | 24% | 8% | 1% |
16 | PROZUMENT Elizabeth | 9% | 28% | 35% | 21% | 6% | 1% | - |
17 | KALINICHENKO Yekaterina | 2% | 14% | 36% | 34% | 12% | 2% | - |
18 | SCHAIBLE Sofia L. | - | 2% | 14% | 33% | 34% | 15% | 2% |
19 | MANI Francesca B. | 2% | 12% | 32% | 35% | 16% | 3% | - |
20 | LOO Kaitlyn | - | 3% | 15% | 31% | 32% | 16% | 3% |
21 | FABRICANT Kioka R. | - | 4% | 16% | 31% | 31% | 15% | 3% |
22 | YAGNIK Aroma | 1% | 6% | 20% | 32% | 27% | 12% | 2% |
23 | KHOST Maeve | 4% | 18% | 34% | 29% | 12% | 2% | - |
24 | JEONG Katie | 9% | 40% | 38% | 12% | 1% | - | - |
25 | WU Yuwei | - | 4% | 20% | 40% | 28% | 7% | - |
26 | BUSH Divina | 10% | 31% | 35% | 19% | 5% | 1% | - |
27 | WEI JoyAnn | 12% | 35% | 35% | 15% | 3% | - | - |
28 | CHO Audrey | 11% | 32% | 34% | 18% | 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.