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 | NAGIMOV Marsel | 100% | 100% | 100% | 97% | 81% | 37% |
2 | PRILUTSKY David B. | 100% | 100% | 100% | 100% | 94% | 63% |
3 | XIAO Enoch A. | 100% | 100% | 100% | 99% | 88% | 49% |
3 | HOOSHI Dylan M. | 100% | 100% | 100% | 99% | 88% | 49% |
5 | KAO Castor T. | 100% | 100% | 99% | 91% | 65% | 23% |
6 | AUGUSTINE Ethan A. | 100% | 100% | 99% | 87% | 46% | |
7 | HO Ryan J. | 100% | 100% | 100% | 96% | 74% | 29% |
7 | XIAO Ethan J. | 100% | 100% | 100% | 99% | 87% | 47% |
9 | YEROKHIN Michael N. | 100% | 100% | 94% | 67% | 26% | 3% |
10 | ZHANG Henry C. | 100% | 100% | 92% | 62% | 20% | |
11 | SCHENCK Koen M. | 100% | 98% | 81% | 40% | 7% | |
12 | WU Alexander | 100% | 100% | 95% | 73% | 33% | 4% |
13 | OURSLER Jack | 100% | 100% | 100% | 98% | 87% | 47% |
14 | BAE Kevin | 100% | 100% | 98% | 85% | 45% | 10% |
15 | GAO William | 100% | 68% | 21% | 3% | - | - |
16 | HERGERT Benito | 100% | 100% | 97% | 77% | 36% | 6% |
17 | GOOR Julian | 100% | 100% | 91% | 57% | 19% | 2% |
18 | JOSEPH Dominic (Dom) | 100% | 100% | 99% | 88% | 53% | 13% |
19 | HOOSHI Jayden C. | 100% | 99% | 88% | 53% | 14% | |
20 | DAI Jonathan T. | 100% | 99% | 92% | 65% | 26% | 4% |
21 | PYO Michael M. | 100% | 100% | 95% | 76% | 38% | 7% |
22 | TIAN Aaron C. | 100% | 97% | 80% | 44% | 12% | 1% |
23 | UM Ethan A. | 100% | 100% | 100% | 98% | 82% | 40% |
24 | LI Richard | 100% | 100% | 99% | 86% | 49% | 11% |
25 | FOGELSON Frederick J. | 100% | 100% | 100% | 93% | 63% | 19% |
26 | LIANG Lixi (Henry) | 100% | 100% | 98% | 82% | 44% | 8% |
27 | KWON Ethan | 100% | 98% | 81% | 39% | 7% | |
28 | PELOSKY Zack B. | 100% | 99% | 89% | 56% | 16% | |
29 | DESOLA Aidan J. | 100% | 85% | 47% | 14% | 2% | - |
30 | KEE Andrew L. | 100% | 97% | 78% | 40% | 11% | 1% |
31 | BALL James T. | 100% | 99% | 89% | 59% | 20% | 2% |
32 | ANTON Nathaniel | 100% | 99% | 90% | 59% | 20% | 2% |
33 | WOODTHORPE Michael G. | 100% | 81% | 32% | 5% | < 1% | - |
34 | WANG Gerald Y. | 100% | 99% | 88% | 54% | 17% | 2% |
35 | MAGIDSON Gabriel | 100% | 100% | 93% | 65% | 24% | 3% |
36 | GRAHAM Roy J. | 100% | 100% | 94% | 72% | 33% | 5% |
37 | AHN Jun | 100% | 98% | 83% | 47% | 14% | 1% |
38 | BOOTSMA Shane-Anson | 100% | 85% | 46% | 14% | 2% | - |
39 | ZHAI Jeffrey | 100% | 99% | 70% | 26% | 4% | - |
40 | LEE Jacob J | 100% | 100% | 94% | 70% | 31% | 5% |
41 | BOBROW Logan | 100% | 100% | 96% | 78% | 41% | 9% |
42 | GATZA Logan | 100% | 90% | 57% | 20% | 3% | - |
43 | SCHAEFER Joshua M. | 100% | 96% | 68% | 28% | 5% | - |
44 | BROWN Alexander R. | 100% | 46% | 9% | 1% | - | |
45 | TSIMIKLIS Yanni | 100% | 97% | 75% | 30% | 6% | - |
46 | BING Charles | 100% | 99% | 89% | 53% | 16% | 2% |
47 | JIANG Owen | 100% | 99% | 74% | 30% | 5% | - |
47 | STRAYER Andrew | 100% | 92% | 46% | 11% | 1% | - |
49 | WHITEHEAD Amir | 100% | 72% | 30% | 6% | 1% | - |
50 | MILLER Aidan A. | 100% | 72% | 30% | 6% | 1% | - |
51 | REZNICK Nicholas J. | 100% | 90% | 51% | 14% | 1% | |
52 | ZELTSER Lawrence M. | 100% | 99% | 94% | 72% | 35% | 7% |
52 | LE Vyn A. | 100% | 89% | 54% | 18% | 3% | - |
54 | TAHOUN Mostafa | 100% | 75% | 33% | 8% | 1% | - |
55 | CAI Oliver K. | 100% | 78% | 36% | 9% | 1% | - |
56 | LI Eric | 100% | 95% | 70% | 32% | 7% | - |
57 | WALTER Evran M. | 100% | 90% | 50% | 14% | 1% | |
58 | BELLUOMO David C. | 100% | 93% | 65% | 26% | 5% | - |
59 | SYOMICHEV Gleb A. | 100% | 49% | 10% | 1% | - | |
60 | MAGIDSON Josh | 100% | 51% | 10% | 1% | - | - |
61 | BAUMANN Gunnar | 100% | 32% | 4% | - | - | - |
61 | SZE Timothy | 100% | 9% | - | - | - | - |
63 | TORRES Treston | 100% | 70% | 23% | 3% | - | - |
63 | REZA Farazi | 100% | 29% | 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.