Silver Backs - Suwanee, GA, 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 | FERREIRA DE MELO Adriana | - | - | 1% | 9% | 33% | 47% | 9% |
2 | CREMONA Viola Maria | - | - | - | 4% | 20% | 43% | 33% |
3 | LIU Elinda | - | - | - | 3% | 15% | 40% | 42% |
3 | ZIMMERMAN Karmen | - | 1% | 7% | 25% | 38% | 24% | 5% |
5 | WANG Ziqiao (Claire) | - | 2% | 15% | 35% | 33% | 13% | 2% |
6 | HAMBRICK Addison | - | 5% | 23% | 38% | 25% | 8% | 1% |
7 | NEELAM Navya | - | - | 3% | 14% | 34% | 36% | 12% |
8 | BARCLAY Khyri | 1% | 7% | 27% | 38% | 21% | 5% | - |
9 | PULLEN Ayah | - | - | 2% | 12% | 32% | 38% | 16% |
10 | MURPHY Katherine | - | 4% | 23% | 38% | 26% | 8% | 1% |
11 | WONG Caitlin | - | - | 6% | 23% | 38% | 26% | 6% |
12 | KIM Emily | 1% | 7% | 22% | 34% | 26% | 9% | 1% |
13 | SKILLMAN Natalie | - | 1% | 6% | 20% | 36% | 30% | 8% |
14 | RAFFERTY Catherine | 6% | 23% | 35% | 25% | 9% | 2% | - |
15 | HILBY Olivia | 1% | 8% | 28% | 37% | 21% | 5% | - |
16 | NOH Rachel | - | 3% | 17% | 36% | 31% | 11% | 1% |
17 | DONGES Anna | - | - | 2% | 11% | 31% | 39% | 17% |
18 | BOBE Isabelle | 42% | 43% | 14% | 1% | - | - | - |
19 | NALABALLI Vashnie | 1% | 7% | 21% | 33% | 26% | 10% | 2% |
20 | HALL Isabelle | 7% | 28% | 37% | 21% | 6% | 1% | - |
21 | XU Yueran | 26% | 47% | 22% | 4% | - | - | - |
22 | BARDIN Kira | 3% | 19% | 37% | 30% | 10% | 1% | - |
23 | DAYAL Kayla | 2% | 14% | 31% | 33% | 16% | 4% | - |
24 | BELCHER Marleigh | 30% | 46% | 19% | 4% | - | - | - |
25 | BASKIN Julia | 6% | 30% | 42% | 18% | 3% | - | - |
25 | RAFFERTY Claire | 3% | 22% | 40% | 26% | 7% | 1% | - |
27 | DAYAL Nya | 5% | 23% | 37% | 26% | 9% | 1% | - |
28 | KOH Millicent | 37% | 49% | 13% | 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.