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 | ||
1 | LUKASHENKO Darii | 100% | 100% | 100% | 97% | 81% | 35% |
2 | BARNETT Adam | 100% | 100% | 100% | 100% | 95% | 66% |
3 | GEFELL Andrew P. | 100% | 100% | 99% | 94% | 71% | 30% |
3 | JEAN Noe T. | 100% | 100% | 100% | 97% | 83% | 44% |
5 | SILBERZWEIG Jordan H. | 100% | 100% | 100% | 99% | 92% | 59% |
6 | GANTA Vijay | 100% | 100% | 91% | 60% | 18% | |
7 | BARTOLO Domenic V. | 100% | 100% | 99% | 94% | 70% | 28% |
8 | LAHOTSKA Yahor | 100% | 100% | 100% | 97% | 77% | 29% |
9 | MORRILL Justin | 100% | 100% | 98% | 87% | 55% | 17% |
10 | BASALYGA Jeffrey | 100% | 100% | 100% | 98% | 85% | 46% |
11 | YUAN Kevin | 100% | 99% | 90% | 58% | 19% | 2% |
12 | MAHONEY Colin M. | 100% | 100% | 90% | 58% | 17% | |
13 | WONG Ryan | 100% | 96% | 74% | 37% | 9% | 1% |
14 | SIMAK Joseph P. | 100% | 99% | 88% | 60% | 24% | 4% |
15 | COLE Alexander | 100% | 96% | 77% | 42% | 13% | 1% |
16 | EDELMAN Seth A. | 100% | 95% | 67% | 26% | 5% | - |
17 | CHAN Matthew | 100% | 100% | 93% | 64% | 18% | |
18 | ZHENG Edward L. | 100% | 99% | 92% | 65% | 27% | 4% |
19 | HO Kaden M. | 100% | 98% | 87% | 54% | 18% | 2% |
20 | MARGULIES William | 100% | 99% | 86% | 49% | 12% | 1% |
21 | MORREALE John | 100% | 100% | 99% | 91% | 64% | 21% |
22 | ALTIRS Alexander | 100% | 100% | 97% | 83% | 48% | 12% |
23 | BRAR Sanjeet | 100% | 97% | 81% | 46% | 14% | 2% |
24 | MORRILL William | 100% | 100% | 98% | 82% | 38% | |
25 | NG Jeremiah | 100% | 98% | 87% | 58% | 22% | 3% |
26 | CZYZEWSKI Konrad R. | 100% | 100% | 98% | 86% | 54% | 16% |
27 | KIM Matthew | 100% | 97% | 78% | 41% | 11% | 1% |
28 | DENG Andrew | 100% | 100% | 93% | 67% | 26% | 3% |
29 | CHAUDHURI Eeshaan A. | 100% | 89% | 56% | 20% | 4% | - |
30 | WU Wilmund | 100% | 98% | 81% | 46% | 14% | 2% |
31 | HONG Vincent Q. | 100% | 99% | 89% | 59% | 21% | 2% |
32 | REYES Kyle | 100% | 93% | 64% | 27% | 6% | - |
33 | GHAYALOD ansh | 100% | 97% | 66% | 24% | 4% | |
34 | TEVEBAUGH Andrew | 100% | 97% | 76% | 38% | 10% | 1% |
35 | OVERDECK Andrew | 100% | 99% | 85% | 48% | 13% | 1% |
36 | LEDERER Justin W. | 100% | 72% | 30% | 7% | 1% | - |
37 | HU Andrew | 100% | 91% | 63% | 27% | 6% | - |
38 | YOU Jaden | 100% | 77% | 32% | 6% | - | |
39 | ZHOU Miles | 100% | 99% | 88% | 57% | 22% | 3% |
40 | HAN Daniel Y. | 100% | 95% | 75% | 39% | 11% | 1% |
41 | MOLINA Nicholas (Nico) G. | 100% | 100% | 99% | 93% | 68% | 25% |
42 | ZENG Noah | 100% | 96% | 76% | 41% | 12% | 1% |
43 | FIELDS Matthew S. | 100% | 94% | 72% | 36% | 10% | 1% |
44 | CHEONG Heonjae | 100% | 98% | 86% | 54% | 18% | 2% |
45 | MCCARTHY Gabriel | 100% | 94% | 71% | 34% | 8% | 1% |
46 | BULL Anderson | 100% | 96% | 71% | 27% | 4% | |
47 | GREENE Alexander J. | 100% | 99% | 86% | 48% | 11% | |
48 | NOBLE Colin | 100% | 97% | 82% | 48% | 15% | 2% |
49 | CHEN Evan P. | 100% | 82% | 41% | 11% | 1% | - |
50 | MATSUI Alen K. | 100% | 99% | 91% | 65% | 28% | 5% |
50 | LIU Mingyang Ryan | 100% | 82% | 44% | 14% | 2% | - |
52 | HUANG Tyler T. | 100% | 98% | 78% | 35% | 7% | - |
53 | JANG Junhyuk | 100% | 79% | 38% | 9% | 1% | - |
54 | SANDERS Samuel B. | 100% | 95% | 63% | 21% | 3% | - |
55 | POSY Daniel | 100% | 59% | 18% | 3% | - | - |
56 | DA GRACA Aidan | 100% | 95% | 68% | 30% | 7% | 1% |
57 | GOLD Jackson | 100% | 92% | 61% | 23% | 4% | - |
58 | MIRDALA Drew | 100% | 33% | 4% | - | - | - |
59 | LEE Aydan J. | 100% | 95% | 72% | 36% | 9% | 1% |
60 | CORTEZ Christopher | 100% | 69% | 22% | 3% | - | |
61 | WEBER Mattias A. | 100% | 79% | 38% | 10% | 1% | - |
62 | GLOZMAN Justin | 100% | 28% | 3% | - | - | |
63 | MOULTON Ian | 100% | 59% | 17% | 3% | - | - |
64 | STERN Tobias | 100% | 38% | 6% | - | - | - |
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.