Charlotte, NC, 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 | WITEK Bernard J. | - | - | - | 1% | 7% | 33% | 58% |
2 | AVAKIAN Alec | - | - | 2% | 12% | 32% | 38% | 17% |
3 | BUERGENTHAL Aaron P. | - | - | 1% | 5% | 20% | 41% | 34% |
3 | HAN William | 2% | 14% | 30% | 32% | 17% | 5% | 1% |
5 | CHOI Silas | - | 1% | 9% | 28% | 40% | 21% | |
6 | LUO George F. | - | 1% | 6% | 20% | 35% | 29% | 9% |
7 | GAO Albert | 1% | 6% | 21% | 33% | 27% | 11% | 2% |
8 | MURZYN III CJ | - | 4% | 17% | 32% | 31% | 14% | 2% |
9 | HOUTZ Jackson | - | - | 3% | 15% | 33% | 35% | 14% |
10 | RIGHTLER Samuel | - | 1% | 6% | 20% | 34% | 29% | 10% |
11 | XU Andrew | - | 1% | 6% | 22% | 35% | 28% | 8% |
12 | HONG Vincent Q. | - | - | 3% | 15% | 41% | 41% | |
13 | SILVA Daniel | - | 1% | 10% | 31% | 41% | 17% | |
14 | MARGULIES William | 1% | 6% | 21% | 37% | 28% | 8% | |
15 | LIU Lawrence | 4% | 18% | 33% | 30% | 13% | 2% | |
16 | OH Triton | 1% | 7% | 24% | 35% | 24% | 8% | 1% |
17 | HOLZ Daniel | - | - | 4% | 15% | 33% | 34% | 13% |
18 | LINDHOLM Oliver S. | - | 1% | 9% | 26% | 38% | 23% | 3% |
19 | SWORDS Evan F. | - | 2% | 12% | 29% | 34% | 18% | 4% |
20 | BERGER Oliver | - | - | 1% | 6% | 21% | 41% | 32% |
21 | GHENEA George Philipe | - | 1% | 6% | 20% | 34% | 29% | 10% |
22 | GHAYALOD ansh | - | 1% | 7% | 21% | 35% | 28% | 8% |
23 | CHAVES Matthew J. | 1% | 7% | 24% | 37% | 25% | 6% | |
24 | XU Luke | - | 1% | 5% | 18% | 34% | 31% | 11% |
25 | CHENG Kyle | 1% | 8% | 24% | 34% | 24% | 8% | 1% |
26 | HONG Steven | - | 4% | 18% | 33% | 30% | 13% | 2% |
27 | BABAYEV Gabriel A. | - | 1% | 6% | 24% | 43% | 26% | |
28 | HAN Daniel Y. | - | 1% | 9% | 26% | 35% | 23% | 5% |
29 | DOLAN Charles R. | - | 5% | 19% | 33% | 29% | 12% | 2% |
30 | ZHANG Jeffrey | 1% | 8% | 25% | 34% | 23% | 8% | 1% |
31 | VARUKATTY-GAFOOR Sohil | 1% | 7% | 21% | 33% | 26% | 11% | 2% |
32 | CORTEZ Christopher | - | 5% | 18% | 32% | 30% | 13% | 2% |
33 | RAI Avin | - | - | - | - | 2% | 22% | 76% |
34 | MCCARTHY Gabriel | - | - | 4% | 18% | 36% | 31% | 10% |
35 | ZHU Charlie | 2% | 13% | 33% | 35% | 15% | 2% | |
36 | SHANAHAN Adam E. | - | - | 3% | 13% | 32% | 37% | 16% |
37 | CHEONG Heonjun | - | 3% | 14% | 30% | 32% | 17% | 4% |
38 | YANG Dylan | 1% | 7% | 22% | 33% | 25% | 10% | 2% |
38 | NOBLE Colin | - | 1% | 7% | 23% | 36% | 26% | 7% |
40 | BYON Adrian | 3% | 14% | 31% | 32% | 17% | 3% | |
41 | KIM Alexander M. | - | 2% | 10% | 28% | 39% | 21% | |
42 | MIYASAKI-CASTRO Masanobu | 1% | 7% | 23% | 35% | 27% | 8% | |
42 | LIU Mingyang Ryan | 2% | 13% | 30% | 33% | 18% | 4% | |
44 | ZHOU Miles | - | 3% | 14% | 29% | 32% | 17% | 4% |
45 | GREENBAUM Ian L. | - | 2% | 11% | 27% | 35% | 21% | 4% |
46 | DU Gavin J. | - | - | 4% | 15% | 32% | 35% | 15% |
47 | COLE Alexander | - | 4% | 16% | 31% | 31% | 15% | 3% |
48 | RASMUSSEN Alexzander C. | 3% | 17% | 34% | 31% | 13% | 2% | |
49 | ARDOIN Cameron | - | 4% | 19% | 37% | 32% | 8% | |
50 | SCHERER Max | 2% | 12% | 31% | 36% | 17% | 3% | |
51 | KIM Matthew | - | 2% | 10% | 25% | 34% | 23% | 6% |
52 | ZHANG Ethan W. | 1% | 9% | 31% | 36% | 18% | 4% | - |
53 | FERNANDEZ Liam | 10% | 29% | 33% | 20% | 7% | 1% | - |
54 | SANDERS Samuel B. | 1% | 6% | 20% | 33% | 28% | 11% | 2% |
55 | BEITEL Noah | - | 4% | 17% | 33% | 32% | 13% | 1% |
56 | PAN Alex | 2% | 12% | 27% | 32% | 20% | 6% | 1% |
57 | CHAUDHURI Eeshaan A. | 1% | 5% | 18% | 33% | 29% | 12% | 2% |
58 | ZHANG Yupeng | 9% | 28% | 35% | 21% | 6% | 1% | - |
59 | REN Richard | 1% | 6% | 22% | 35% | 28% | 8% | |
59 | HAN Edward | 7% | 25% | 35% | 24% | 8% | 1% | |
61 | LU Caleb Q. | 2% | 11% | 28% | 33% | 20% | 6% | 1% |
62 | WONG James T. | 10% | 33% | 35% | 17% | 4% | 1% | - |
63 | SUPLICO Enrico Lucio | 10% | 31% | 34% | 18% | 5% | 1% | - |
64 | TAO Jeffrey | 1% | 6% | 21% | 35% | 28% | 9% | |
65 | ZHENG Edward L. | - | 1% | 7% | 21% | 34% | 27% | 9% |
66 | XUE ALEXANDER | - | 1% | 7% | 22% | 36% | 27% | 7% |
67 | KROON Lucas | 2% | 13% | 30% | 33% | 17% | 3% | |
68 | DELARUE NELSON Y. | - | 2% | 9% | 24% | 34% | 25% | 7% |
69 | BAUER Hank E. | 1% | 8% | 22% | 32% | 25% | 10% | 2% |
70 | SCHARDINE James | - | 3% | 15% | 31% | 31% | 16% | 3% |
71 | ZHU Yuchen (Kevin) | - | 4% | 19% | 36% | 29% | 11% | 1% |
72 | HU Christopher | - | 3% | 16% | 33% | 32% | 14% | 2% |
73 | NOURELDIN Gabriel | - | 5% | 21% | 34% | 27% | 10% | 1% |
74 | GLOZMAN Justin | 1% | 8% | 24% | 34% | 24% | 8% | 1% |
75 | LIN Steve | 8% | 28% | 35% | 21% | 7% | 1% | - |
76 | DEKA Tanush | 14% | 33% | 33% | 16% | 4% | - | |
77 | CLARK Keagan | 20% | 40% | 29% | 9% | 1% | - | |
78 | ZHOU James Y. | 10% | 29% | 35% | 20% | 6% | 1% | - |
79 | YOU Jaden | 3% | 15% | 31% | 32% | 16% | 3% | - |
80 | FLOT Tai A. | - | - | 4% | 19% | 37% | 30% | 9% |
81 | YANG Duncan (BoTong) | - | 1% | 4% | 16% | 32% | 33% | 13% |
82 | GINSBERG jordan | 4% | 20% | 34% | 28% | 11% | 2% | - |
83 | LIM William J. | - | 1% | 9% | 25% | 36% | 23% | 6% |
83 | ZHANG Derek | - | 2% | 10% | 25% | 34% | 23% | 6% |
85 | BALDWIN Michael B. | 1% | 7% | 23% | 35% | 26% | 8% | - |
86 | BYON Julian | 21% | 39% | 28% | 10% | 2% | - | - |
87 | NG Jeremiah | - | 4% | 17% | 32% | 30% | 14% | 3% |
88 | SAVOY Luca | 2% | 14% | 31% | 32% | 17% | 4% | - |
89 | WEBER Mattias A. | 16% | 36% | 32% | 13% | 3% | - | |
90 | BOSITA Carson | 10% | 32% | 37% | 18% | 4% | - | |
91 | ZENG Noah | 1% | 6% | 22% | 36% | 28% | 7% | |
92 | ZHUANG Rayken | 15% | 35% | 32% | 14% | 3% | - | |
93 | LEITH Jack | 6% | 24% | 37% | 25% | 7% | 1% | |
94 | FIELDS Matthew S. | 3% | 16% | 34% | 32% | 13% | 2% | |
95 | KUMAR Sachit | 4% | 20% | 35% | 29% | 11% | 2% | |
96 | HUANG Connor | 6% | 25% | 36% | 25% | 8% | 1% | |
97 | PIWOWAR Alex | 1% | 8% | 23% | 33% | 25% | 9% | 1% |
98 | RAMANAN Jaisimh | 9% | 28% | 35% | 21% | 6% | 1% | - |
99 | SINGH Angadh | - | 3% | 15% | 32% | 34% | 15% | 1% |
100 | ROBINSON William | 1% | 11% | 30% | 34% | 18% | 5% | - |
101 | CAISSE Simon B. | 3% | 16% | 31% | 30% | 16% | 4% | - |
102 | KLEBS Robert | 35% | 42% | 19% | 4% | - | - | - |
103 | HOUTZ Mitchell B. | 5% | 20% | 34% | 28% | 11% | 2% | - |
104 | HUANG Zekai | 1% | 10% | 27% | 33% | 21% | 7% | 1% |
105 | CRAIG Samuel | 3% | 17% | 32% | 30% | 14% | 3% | - |
106 | MOL Spencer | 2% | 11% | 28% | 34% | 20% | 5% | - |
107 | BONSELL Vance | 2% | 16% | 34% | 31% | 14% | 3% | - |
108 | DECK Tyson | 55% | 35% | 9% | 1% | - | - | - |
109 | DILLE Jackson K. | 11% | 31% | 34% | 18% | 5% | 1% | - |
110 | NARANJO David E. | 2% | 14% | 31% | 33% | 17% | 3% | |
111 | BONN-ELCHONESS Peter | 19% | 40% | 30% | 10% | 1% | - | |
112 | RAMANAN Govind | 26% | 42% | 25% | 7% | 1% | - | |
113 | PI Alexander | 9% | 31% | 37% | 19% | 4% | - | |
114 | HONG Rubin | 2% | 10% | 27% | 34% | 22% | 5% | |
115 | FORT David | 11% | 34% | 36% | 16% | 3% | - | |
116 | ARTIS II Ron | 50% | 37% | 11% | 2% | - | - | - |
117 | MEHTA Krish | 3% | 20% | 36% | 28% | 11% | 2% | - |
118 | POSY Daniel | 18% | 39% | 30% | 10% | 2% | - | - |
119 | CHAN Aidan | 17% | 37% | 30% | 13% | 3% | - | - |
120 | TANG Anzheng | 4% | 20% | 34% | 28% | 12% | 2% | - |
121 | JAIN Aniket | 15% | 37% | 32% | 12% | 2% | - | - |
121 | MAUREL Nicolas | 5% | 24% | 38% | 25% | 7% | 1% | - |
123 | MAY Griffin M. | 3% | 14% | 30% | 31% | 17% | 5% | 1% |
123 | DEPEW Spencer | 4% | 23% | 37% | 26% | 9% | 2% | - |
125 | MOL Justin | 41% | 40% | 15% | 3% | - | - | - |
126 | LIPPMAN Eli | 14% | 34% | 32% | 15% | 4% | - | - |
127 | KIM-COGAN Ryan | < 1% | - | 4% | 17% | 34% | 33% | 12% |
128 | MOULTON Ian | 19% | 38% | 30% | 11% | 2% | - | - |
129 | JAYASANKAR Hari | 7% | 25% | 34% | 23% | 9% | 2% | - |
130 | FARIDI Imran | 51% | 39% | 9% | 1% | - | - | - |
131 | LEONARD Charles | 14% | 35% | 32% | 15% | 4% | - | - |
132 | KAPOOR Tanmay | 15% | 46% | 30% | 8% | 1% | - | - |
133 | SHAHZAD Azlan A. | 11% | 34% | 35% | 16% | 3% | - | |
134 | WIGGS Andrew | 18% | 41% | 31% | 10% | 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.