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 | ||
1 | MARX Jackson L. | - | - | 6% | 27% | 46% | 22% |
2 | LEE Jonah | - | 5% | 20% | 37% | 30% | 8% |
3 | GUO Justin | - | - | 4% | 20% | 44% | 32% |
3 | LIU Derek | - | 1% | 5% | 21% | 42% | 31% |
5 | ZHEN Ethan | - | - | 3% | 16% | 41% | 39% |
6 | CHENG Ethan | 6% | 24% | 37% | 25% | 7% | 1% |
7 | LI Aaron | 3% | 17% | 34% | 31% | 13% | 2% |
8 | TRAUGOT Owen G. | - | 4% | 20% | 39% | 30% | 7% |
9 | XU Andy P. | - | - | 2% | 12% | 39% | 48% |
10 | CHEN Kyle P. | 1% | 8% | 25% | 36% | 24% | 6% |
11 | JURMAN Therin | 16% | 39% | 32% | 11% | 2% | - |
12 | LIEW Jeremy K. | 1% | 9% | 34% | 38% | 16% | 2% |
13 | WONG Jackson | 10% | 31% | 35% | 18% | 4% | - |
14 | XU Ethan | 1% | 7% | 25% | 38% | 24% | 5% |
15 | SEMAPAKDI-CHANG Kaiden | - | 4% | 20% | 38% | 31% | 7% |
16 | GULCHIN Mark | 2% | 13% | 30% | 34% | 18% | 3% |
17 | SHIM Peter S. | 1% | 11% | 30% | 36% | 19% | 3% |
18 | LU Jason | 1% | 9% | 27% | 37% | 22% | 5% |
19 | LEE Brendan | 3% | 20% | 39% | 29% | 8% | 1% |
20 | CHA James | 2% | 12% | 29% | 34% | 19% | 4% |
21 | TAN Aidan | 6% | 30% | 42% | 19% | 2% | - |
24 | MALHAM Andrew | 7% | 28% | 38% | 22% | 5% | - |
25 | UNGERER Roger M. | 1% | 9% | 28% | 38% | 21% | 4% |
26 | WONG Jacob W. | 3% | 20% | 38% | 30% | 9% | 1% |
27 | CAO Ray | 8% | 28% | 36% | 22% | 6% | 1% |
28 | ZHUANG Chuanxuan | 10% | 31% | 36% | 19% | 4% | - |
29 | AKYAMAC Bora | 7% | 29% | 38% | 21% | 5% | - |
30 | ZHU Brandan | 50% | 40% | 9% | 1% | - | - |
31 | TANG Terry | 8% | 28% | 36% | 22% | 6% | 1% |
32 | CHUNG Ian | 6% | 28% | 41% | 21% | 4% | - |
33 | HAN Jinu | 18% | 42% | 30% | 9% | 1% | - |
34 | ZENG Rick | 6% | 25% | 37% | 25% | 7% | - |
35 | CHO Xzander | 9% | 37% | 39% | 13% | 2% | - |
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.