King of Prussia, PA - King of Prussia, PA, 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 | ||
1 | EYER Hailey M. | - | - | - | 4% | 29% | 66% |
2 | LEE Lavender | - | - | 7% | 56% | 37% | |
3 | KOSLOW Amicie | - | 3% | 20% | 45% | 32% | |
3 | ROY Layla | - | - | 2% | 16% | 45% | 37% |
5 | GU Emily | - | 4% | 24% | 48% | 24% | |
6 | SU Michelle | - | 5% | 25% | 46% | 24% | |
7 | CHARALEL Jessica | - | 6% | 26% | 42% | 23% | 3% |
8 | MI Aileen | 3% | 18% | 38% | 32% | 9% | |
9 | ZHENG Julie | - | 1% | 6% | 26% | 46% | 21% |
10 | AMR HOSSNY Sara | - | - | 3% | 43% | 53% | |
11 | TRACZ Calleigh D. | 7% | 32% | 42% | 16% | 2% | |
12 | LEVY Avery | 1% | 7% | 28% | 41% | 20% | 3% |
13 | YURKOVA Mariia | - | 4% | 20% | 41% | 30% | 4% |
14 | SIMONOV Dasha | - | 2% | 15% | 45% | 39% | |
15 | ORVANANOS Anice | - | 5% | 22% | 43% | 29% | |
16 | BOLES Amanda X. | 9% | 31% | 38% | 19% | 3% | |
17 | ZHOU Catherine | 25% | 42% | 26% | 6% | 1% | |
18 | SHIM Grace | 16% | 43% | 32% | 9% | 1% | |
19 | WEI Angela | 14% | 45% | 37% | 4% | - | |
20 | PAULUS Sloane | 9% | 33% | 39% | 16% | 2% | - |
21 | BADLANI Diya | 10% | 40% | 36% | 12% | 1% | - |
22 | SHTROM Uma A. | 34% | 48% | 18% | 1% | - | |
23 | TAYLOR-CASAMAYOR Marisol | 35% | 44% | 18% | 3% | - | |
24 | CHEN Renee | 7% | 29% | 39% | 21% | 4% | |
25 | PAULUS Isabella | 18% | 44% | 30% | 7% | - | |
26 | WANG Reese | 24% | 50% | 25% | 1% | - | |
27 | GOLBIN Ariella J. | 2% | 19% | 41% | 29% | 7% | - |
28 | PARK Leah | 19% | 42% | 30% | 8% | 1% | - |
29 | KOGAN Alexis | 22% | 43% | 28% | 7% | 1% | - |
30 | ROHRING Anna L. | 34% | 45% | 18% | 2% | - | |
31 | SHMAY Anastasia | 6% | 29% | 42% | 19% | 3% | |
32 | SHI Sasha | 49% | 39% | 11% | 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.