King of Prussia, PA - King of Prussia, PA, USA
Explore the probability of achieving at least a certain number of victories in the pool 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 | BERMAN Luca | 100% | 100% | 100% | 96% | 77% | 41% | 10% |
2 | MORRILL Justin | 100% | 100% | 100% | 98% | 90% | 62% | 22% |
3 | MORRILL William | 100% | 100% | 100% | 100% | 97% | 81% | 38% |
3 | ALTIRS Alexander | 100% | 99% | 95% | 76% | 42% | 11% | |
5 | SIMAK Joseph P. | 100% | 100% | 98% | 89% | 64% | 30% | 6% |
6 | LUKASHENKO Darii | 100% | 100% | 100% | 99% | 93% | 72% | 31% |
7 | GHAYALOD ansh | 100% | 100% | 95% | 77% | 46% | 16% | 2% |
8 | HUANG Tyler T. | 100% | 99% | 90% | 61% | 24% | 4% | |
9 | HAN Daniel Y. | 100% | 98% | 86% | 56% | 22% | 4% | |
10 | ZHENG Edward L. | 100% | 100% | 95% | 73% | 35% | 7% | |
11 | NOBLE Colin | 100% | 100% | 100% | 96% | 77% | 39% | 7% |
12 | NOURELDIN Gabriel | 100% | 99% | 94% | 75% | 41% | 10% | |
13 | HONG Vincent Q. | 100% | 100% | 100% | 97% | 81% | 46% | 12% |
14 | NG Jeremiah | 100% | 100% | 100% | 97% | 82% | 49% | 13% |
15 | WONG Ryan | 100% | 95% | 74% | 40% | 13% | 2% | |
16 | CHOI Silas | 100% | 100% | 98% | 86% | 54% | 16% | |
17 | YOU Jaden | 100% | 96% | 76% | 41% | 13% | 2% | - |
18 | KIM Shaun M. | 100% | 99% | 94% | 76% | 44% | 15% | 2% |
19 | CHEONG Heonjae | 100% | 99% | 94% | 74% | 39% | 10% | |
20 | SHTEYN Mark | 100% | 98% | 88% | 61% | 28% | 7% | 1% |
21 | ZHOU Miles | 100% | 100% | 95% | 76% | 39% | 9% | |
22 | HU Andrew | 100% | 99% | 88% | 58% | 22% | 4% | |
23 | ZENG Noah | 100% | 98% | 85% | 56% | 23% | 4% | |
24 | LEE Aydan J. | 100% | 98% | 84% | 53% | 21% | 3% | |
25 | SHOMAN Zachary | 100% | 100% | 100% | 97% | 85% | 54% | 16% |
26 | BULL Anderson | 100% | 99% | 88% | 62% | 28% | 7% | 1% |
27 | MARGULIES William | 100% | 100% | 95% | 74% | 37% | 8% | |
28 | MCCARTHY Gabriel | 100% | 97% | 83% | 53% | 20% | 3% | |
29 | GOLD Jackson | 100% | 90% | 62% | 27% | 7% | 1% | - |
30 | EDELMAN Seth A. | 100% | 100% | 96% | 76% | 39% | 11% | 1% |
31 | EPSTEIN Oliver D. | 100% | 88% | 56% | 22% | 5% | - | |
32 | OVERDECK Andrew | 100% | 97% | 82% | 50% | 20% | 4% | - |
33 | MATSUI Alen K. | 100% | 100% | 100% | 97% | 84% | 53% | 17% |
34 | JANG Junhyuk | 100% | 99% | 92% | 65% | 28% | 6% | 1% |
35 | WU Wilmund | 100% | 100% | 98% | 87% | 54% | 18% | 2% |
36 | LIU Mingyang Ryan | 100% | 95% | 72% | 36% | 10% | 1% | |
37 | MICLAUS Justin | 100% | 99% | 90% | 65% | 30% | 8% | 1% |
38 | KOGAN Nikita | 100% | 92% | 65% | 30% | 8% | 1% | - |
39 | DA GRACA Aidan | 100% | 98% | 83% | 52% | 19% | 3% | |
40 | FIELDS Matthew S. | 100% | 98% | 86% | 57% | 23% | 4% | |
41 | VARUKATTY-GAFOOR Sohil | 100% | 89% | 58% | 24% | 5% | - | |
42 | HUANG Maxwell H. | 100% | 97% | 79% | 46% | 16% | 3% | - |
43 | GLOZMAN Justin | 100% | 89% | 52% | 15% | 2% | - | - |
44 | LUTHRA Arjun | 100% | 99% | 94% | 75% | 42% | 14% | 2% |
45 | SHOMAN Noah | 100% | 100% | 99% | 94% | 69% | 29% | 5% |
46 | FLITSANOV Macabee | 100% | 90% | 54% | 15% | 2% | - | - |
47 | MOULTON Ian | 100% | 74% | 33% | 9% | 1% | - | - |
48 | COLE Alexander | 100% | 99% | 92% | 68% | 32% | 7% | |
49 | UH Daniel | 100% | 96% | 69% | 30% | 7% | 1% | |
50 | BLUMBERG Cal | 100% | 67% | 18% | 2% | - | - | - |
51 | KAPOOR Tanmay | 100% | 70% | 25% | 5% | - | - | - |
52 | YUAN Kevin | 100% | 99% | 95% | 77% | 45% | 16% | 2% |
53 | CHAUDHURI Eeshaan A. | 100% | 99% | 91% | 66% | 31% | 8% | 1% |
54 | WEBER Mattias A. | 100% | 88% | 56% | 22% | 5% | - | |
55 | OWENS Harrison J. | 100% | 93% | 68% | 34% | 10% | 2% | - |
56 | SAS Alexander H. | 100% | 78% | 37% | 9% | 1% | - | |
56 | GOLD Carter | 100% | 34% | 5% | - | - | - | |
58 | FELDMAN Drew | 100% | 77% | 37% | 11% | 2% | - | - |
59 | SINGH Angadh | 100% | 65% | 21% | 3% | - | - | - |
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.