Edison, NJ - Edison, 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 | EMMER Chase T. | - | - | - | - | 3% | 25% | 72% |
2 | YU Vinni | - | - | - | 2% | 14% | 41% | 42% |
3 | OURSLER Jack | - | - | - | 2% | 14% | 40% | 43% |
3 | JANG Jaewon | - | - | 2% | 12% | 31% | 38% | 16% |
5 | SINGH Dayaal | - | 1% | 6% | 23% | 38% | 26% | 6% |
6 | HO Ryan J. | - | - | 3% | 18% | 41% | 31% | 7% |
7 | KASI Sanjay | - | - | 1% | 8% | 27% | 41% | 23% |
8 | KIM Nicholas W. | - | - | - | 5% | 21% | 43% | 32% |
9 | FOGELSON Frederick J. | - | - | 2% | 14% | 36% | 38% | 9% |
10 | BAS Liam | - | - | 4% | 17% | 36% | 33% | 11% |
11 | HERGERT Benito | - | 1% | 12% | 34% | 37% | 15% | 1% |
12 | SHIKHMAN Robert | - | 4% | 18% | 35% | 30% | 11% | 1% |
13 | GEE Brandon | - | - | 3% | 16% | 37% | 35% | 9% |
14 | AUGUSTINE Ethan A. | - | - | 2% | 11% | 30% | 39% | 18% |
15 | LAURICELLA Douglas | - | 1% | 11% | 33% | 38% | 16% | 1% |
16 | LIAO Alex J. | 1% | 6% | 23% | 36% | 26% | 8% | 1% |
17 | LUTAR Lucas N. | - | - | - | 1% | 9% | 38% | 52% |
18 | BALL James T. | 1% | 6% | 22% | 35% | 26% | 9% | 1% |
19 | ANDREWS Nathan J. | - | - | - | 4% | 21% | 45% | 30% |
20 | BAUMSTEIN Nicholas I. | - | - | 1% | 9% | 29% | 40% | 20% |
21 | YEROKHIN Michael N. | - | 3% | 13% | 31% | 34% | 16% | 3% |
22 | AHN Jun | - | 5% | 26% | 40% | 24% | 6% | - |
23 | GROSSMAN SMISEK Spencer E. | - | - | 1% | 9% | 32% | 42% | 17% |
24 | TORRES Treston | 11% | 35% | 35% | 15% | 3% | - | - |
25 | LOCKWOOD Owen | - | - | 3% | 16% | 36% | 33% | 11% |
26 | DAI Jonathan T. | - | 1% | 9% | 30% | 38% | 18% | 3% |
27 | ONIK Elijah T. | - | 1% | 7% | 27% | 40% | 23% | 2% |
28 | BRUK Peter J. | - | 2% | 12% | 30% | 35% | 18% | 3% |
29 | CAI Oliver K. | 2% | 33% | 42% | 19% | 4% | - | - |
30 | DOCTOR Aidan L. | - | 15% | 39% | 32% | 12% | 2% | - |
31 | BROWN Alexander R. | 6% | 49% | 36% | 8% | 1% | - | - |
32 | SELENDY Maximilian (Max) A. | 2% | 14% | 38% | 33% | 11% | 2% | - |
33 | MAGIDSON Gabriel | - | 4% | 18% | 34% | 30% | 11% | 2% |
34 | ZELTSER Lawrence M. | - | 2% | 11% | 30% | 38% | 17% | 2% |
35 | KWON Ethan | - | 1% | 7% | 23% | 37% | 26% | 6% |
36 | BELLUOMO David C. | 7% | 26% | 37% | 23% | 7% | 1% | - |
37 | BOBROW Logan | - | 1% | 8% | 26% | 37% | 23% | 4% |
38 | DESOLA Aidan J. | 3% | 19% | 36% | 29% | 11% | 2% | - |
39 | REZNICK Nicholas J. | - | 3% | 21% | 43% | 27% | 6% | 1% |
40 | ZHANG Henry C. | - | - | 4% | 18% | 36% | 32% | 9% |
41 | WANG Gerald Y. | 4% | 24% | 39% | 25% | 7% | 1% | - |
42 | MONTALBINE Aidan | 5% | 50% | 35% | 9% | 1% | - | - |
43 | ABDELGAWAD Abdelrahman | 18% | 40% | 30% | 10% | 2% | - | - |
44 | WANG Alex L. | 33% | 42% | 20% | 4% | - | - | - |
45 | MILLER Trent D. | 1% | 7% | 23% | 36% | 25% | 8% | 1% |
45 | GARCIA Sebastian R. | - | 5% | 25% | 39% | 25% | 6% | - |
47 | PO Oliver | 3% | 20% | 38% | 28% | 9% | 1% | - |
48 | GUPTA Varun | 2% | 13% | 32% | 33% | 17% | 4% | - |
49 | BAE Kevin | - | 2% | 14% | 34% | 34% | 14% | 2% |
50 | MATHEWS Rocco J. | 1% | 9% | 27% | 35% | 21% | 6% | 1% |
51 | KALIPERSAD Neil A. | 22% | 49% | 24% | 5% | - | - | - |
52 | LEE Jacob J | 1% | 11% | 33% | 37% | 16% | 3% | - |
53 | WERWA Griffith | 20% | 41% | 29% | 9% | 1% | - | - |
54 | GUO Jacob | 20% | 41% | 28% | 9% | 1% | - | - |
55 | SZE Benjamin | 85% | 14% | - | - | - | - | - |
56 | TSIMIKLIS Yanni | 22% | 41% | 27% | 8% | 1% | - | - |
57 | AMODEMO Charles | 42% | 43% | 13% | 2% | - | - | - |
58 | BOOTSMA Shane-Anson | 17% | 39% | 31% | 11% | 2% | - | - |
59 | SELL Ethan J. | - | 15% | 44% | 32% | 8% | 1% | - |
60 | PATEL Kapil | 52% | 37% | 10% | 1% | - | - | - |
61 | TAHOUN Mostafa | 16% | 37% | 32% | 12% | 2% | - | - |
62 | SZE Timothy | 90% | 9% | - | - | - | - | - |
63 | REZA Farazi | 86% | 14% | 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.