Manalapan, NJ - Manalapan, 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 | YEN Darren | - | - | - | 2% | 13% | 40% | 44% |
2 | BASALYGA Jeffrey | - | 1% | 5% | 18% | 35% | 32% | 10% |
3 | GEFELL Andrew P. | - | 1% | 5% | 18% | 33% | 31% | 12% |
3 | LUKASHENKO Darii | - | 3% | 16% | 34% | 32% | 13% | 2% |
5 | WILLIAMS Nolan E. | - | 1% | 5% | 19% | 34% | 31% | 11% |
6 | LILOV NEIL | - | - | 1% | 7% | 25% | 41% | 26% |
7 | CHAN Daniel | 2% | 15% | 34% | 32% | 14% | 3% | - |
8 | LINSKY Matthew | - | 2% | 12% | 29% | 35% | 19% | 4% |
9 | SHI Andrew | - | - | 2% | 10% | 29% | 39% | 20% |
10 | QUAN Nicholas | - | 1% | 7% | 24% | 39% | 25% | 5% |
11 | ZU Kevin | - | - | 2% | 11% | 31% | 39% | 16% |
12 | LAHOTSKA Yahor | - | 2% | 11% | 27% | 34% | 21% | 5% |
13 | MORREALE John | - | - | 4% | 16% | 34% | 34% | 12% |
14 | ERACHSHAW Taras P. | - | 3% | 12% | 27% | 33% | 20% | 5% |
15 | LIN William | 2% | 11% | 28% | 33% | 20% | 6% | 1% |
16 | TSODIKOV Matthew G. | 2% | 15% | 34% | 32% | 14% | 3% | - |
17 | BARTOLO Domenic V. | - | 3% | 12% | 27% | 33% | 20% | 5% |
18 | MOSZCZYNSKI Adam | - | 1% | 7% | 23% | 37% | 26% | 6% |
19 | PRICE Jack S. | - | - | 2% | 10% | 29% | 39% | 20% |
20 | CHAN Matthew | - | 1% | 9% | 27% | 36% | 22% | 5% |
21 | WOOD Elden S. | - | 1% | 5% | 22% | 39% | 27% | 6% |
22 | KUSHKOV Simon O. | - | - | 1% | 7% | 25% | 41% | 25% |
23 | PARKHURST Jr Michael | 1% | 11% | 29% | 34% | 19% | 5% | 1% |
24 | BARNETT Adam | - | 1% | 6% | 19% | 34% | 30% | 10% |
25 | WU Nicholas R. | 1% | 8% | 26% | 36% | 22% | 6% | 1% |
26 | VAULES Charles W. | - | 3% | 14% | 30% | 33% | 17% | 3% |
27 | SAKHAMURI Surya | - | - | 1% | 8% | 27% | 42% | 23% |
27 | DEWEY Charles J. | 25% | 40% | 26% | 8% | 1% | - | - |
29 | YEN Preston | - | 2% | 12% | 29% | 34% | 18% | 4% |
30 | YUAN Kevin | 5% | 22% | 36% | 26% | 9% | 1% | - |
31 | ERACHSHAW Cyrus P. | 5% | 21% | 34% | 27% | 11% | 2% | - |
32 | TANG Brendan J. | 2% | 10% | 26% | 33% | 22% | 7% | 1% |
33 | LASORSA Matthew | - | 3% | 14% | 30% | 32% | 17% | 3% |
34 | CZYZEWSKI Konrad R. | - | 5% | 18% | 32% | 30% | 14% | 2% |
35 | MOSKOWITZ Mason C. | - | 2% | 12% | 31% | 35% | 17% | 3% |
36 | TAKEMARU Leo | - | 1% | 4% | 16% | 33% | 33% | 13% |
37 | MAHONEY Colin M. | - | 5% | 18% | 32% | 29% | 13% | 2% |
38 | YAO Jonathan | - | 1% | 8% | 24% | 36% | 24% | 6% |
39 | PETRAMALE Samuel J. | 2% | 15% | 32% | 32% | 15% | 3% | - |
39 | GANTA Vijay | 2% | 12% | 28% | 32% | 19% | 6% | 1% |
41 | YANG Richard | - | 5% | 22% | 37% | 27% | 8% | 1% |
42 | ZHOU Miles | 7% | 26% | 36% | 23% | 7% | 1% | - |
43 | LEVIN Mark A. | - | 4% | 15% | 31% | 31% | 16% | 3% |
44 | PATTON Colin T. | 7% | 26% | 36% | 23% | 7% | 1% | - |
45 | LI Junyou | 14% | 34% | 32% | 16% | 4% | - | - |
46 | HONG Vincent Q. | 4% | 20% | 38% | 28% | 9% | 1% | - |
47 | EPSTEIN HENRY N. | 24% | 40% | 26% | 9% | 2% | - | - |
48 | XU Michael | 8% | 33% | 36% | 18% | 4% | 1% | - |
49 | ZHANG Jeffrey | 7% | 26% | 34% | 23% | 8% | 1% | - |
50 | GILLIGAN Wolff | - | 3% | 15% | 32% | 32% | 15% | 2% |
51 | SANFILIPPO-SCHERER Alexander G. | 22% | 40% | 27% | 9% | 2% | - | - |
52 | QIN Alexander | 16% | 40% | 32% | 11% | 2% | - | - |
53 | CHAN Alexander S. | 13% | 33% | 33% | 16% | 4% | 1% | - |
54 | CHU Edrick | 39% | 41% | 16% | 3% | - | - | - |
55 | FISK Ethan | 25% | 42% | 25% | 7% | 1% | - | - |
56 | TEVEBAUGH Andrew | 13% | 33% | 33% | 16% | 4% | 1% | - |
57 | KOGAN Benjamin | 2% | 13% | 30% | 32% | 17% | 4% | - |
58 | MAKLIN Edward P. | 3% | 15% | 32% | 32% | 15% | 3% | - |
59 | HUANG Ian | 25% | 43% | 25% | 6% | 1% | - | - |
60 | KEEFE Duncan | 2% | 13% | 31% | 33% | 17% | 4% | - |
61 | LEE Jude H. | 20% | 43% | 28% | 8% | 1% | - | - |
62 | CLAWSON Amzie | 15% | 39% | 32% | 12% | 2% | - | - |
63 | GOOSMAN Antonio R. | 31% | 43% | 21% | 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.