Richmond, VA, 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 | KIM Nathan | - | - | 1% | 8% | 25% | 40% | 26% |
2 | LEE Samuel Y. | - | - | 1% | 5% | 20% | 42% | 32% |
3 | KIM Sullivan | - | - | 1% | 8% | 26% | 40% | 24% |
3 | ZHENG Haoran | - | - | - | 2% | 12% | 39% | 46% |
5 | YANG Boyan | - | - | 2% | 11% | 29% | 38% | 20% |
6 | SEEFELDT William Henry C. | - | - | 1% | 6% | 22% | 41% | 29% |
7 | YAO Geoffrey B. | - | - | - | 3% | 16% | 40% | 40% |
8 | CHOI Kaiden I. | - | 1% | 7% | 23% | 36% | 26% | 7% |
9 | CAO Albert | - | - | 3% | 13% | 32% | 37% | 15% |
10 | TREBON Hayden | - | - | 3% | 16% | 40% | 41% | |
11 | PAK Elliot | 1% | 9% | 26% | 37% | 23% | 4% | |
12 | LI Zachary | 2% | 16% | 35% | 32% | 13% | 2% | |
13 | HILBERT Gabriel E. | - | - | 1% | 8% | 27% | 41% | 23% |
14 | ROMANOV Ethan | 1% | 6% | 21% | 36% | 27% | 9% | 1% |
15 | ZHAO Zidong | 1% | 6% | 21% | 33% | 27% | 10% | 1% |
16 | DAN Rex | 1% | 9% | 28% | 35% | 21% | 6% | 1% |
17 | WU Jonathan | - | - | - | 4% | 19% | 41% | 36% |
18 | WANG justin | - | 5% | 20% | 35% | 29% | 10% | 1% |
19 | SAVORETTI Francesco | - | - | 3% | 13% | 32% | 36% | 15% |
20 | WOLFE Alex | - | - | 3% | 18% | 44% | 34% | |
21 | HEADRICK Lance | - | 2% | 11% | 30% | 38% | 19% | |
22 | FISHMAN Rahm | - | 2% | 12% | 29% | 35% | 18% | 3% |
23 | DAVOODIAN Christopher | - | - | 1% | 9% | 27% | 40% | 22% |
24 | MEN Junda | 2% | 10% | 27% | 34% | 21% | 6% | 1% |
25 | TIKHONOV Daniel | 1% | 9% | 26% | 34% | 22% | 7% | 1% |
26 | GLENNON Sebastian J. | - | 2% | 11% | 28% | 35% | 20% | 4% |
27 | ZI QIN Shang | - | - | 4% | 17% | 35% | 34% | 10% |
28 | DHAL Leon | 13% | 35% | 34% | 15% | 3% | - | - |
29 | RICHARDS Jackson D. | - | 4% | 16% | 33% | 32% | 14% | 2% |
30 | WONG King-Yee | 3% | 20% | 37% | 29% | 10% | 2% | - |
31 | ZAYDMAN Ethan | - | 2% | 11% | 29% | 35% | 19% | 4% |
32 | ATKINS Levi H. | 6% | 24% | 36% | 25% | 8% | 1% | |
33 | NGUYEN Tate | - | - | 1% | 5% | 20% | 41% | 33% |
34 | KHANNA Nikhil | - | 1% | 8% | 29% | 44% | 19% | |
35 | LAI Boden | - | 1% | 5% | 21% | 37% | 29% | 8% |
36 | ZHANG ethan | - | 2% | 11% | 28% | 34% | 20% | 4% |
37 | TIKHONOV Iliya | - | 1% | 7% | 22% | 37% | 27% | 7% |
38 | PETERSEN Zachary | 36% | 42% | 18% | 4% | - | < 1% | - |
39 | SPINA Joseph B. | - | 1% | 6% | 22% | 37% | 28% | 7% |
40 | JIANG ryan | - | 5% | 19% | 33% | 29% | 12% | 2% |
41 | TRULL A.J. | - | 1% | 8% | 25% | 38% | 24% | 4% |
42 | SU Caleb | - | - | - | 4% | 18% | 42% | 36% |
43 | CHOI Zachary | 1% | 6% | 22% | 36% | 27% | 8% | |
44 | GRAVES Lawson | 7% | 26% | 36% | 23% | 7% | 1% | |
45 | MITEV Alexander | - | 5% | 18% | 33% | 30% | 12% | 2% |
46 | SHCHUR Landon | - | - | 2% | 10% | 29% | 40% | 20% |
47 | ZHU Eric | 1% | 9% | 25% | 34% | 23% | 8% | 1% |
48 | CHEN Brian | - | 1% | 5% | 20% | 36% | 30% | 9% |
49 | WANG zhixing (Daniel) | - | 2% | 10% | 28% | 37% | 20% | 3% |
50 | XIAO Hanzhi (Shawn) | - | 4% | 18% | 34% | 30% | 12% | 1% |
51 | KRISHNAN Skanda | 3% | 15% | 31% | 31% | 16% | 4% | - |
52 | TIKHOMIROV Theodore | - | 5% | 21% | 37% | 29% | 8% | |
53 | SIYANKO Joshua | 1% | 6% | 20% | 33% | 28% | 11% | 1% |
54 | WANG Clayton | - | 3% | 14% | 30% | 32% | 16% | 3% |
55 | RIGGINS Joshua | - | 3% | 13% | 29% | 34% | 18% | 3% |
56 | YANG Gary | 26% | 42% | 25% | 7% | 1% | - | - |
57 | LESCURE Dimitri | 9% | 30% | 36% | 19% | 5% | 1% | - |
58 | PAN Tristan | 1% | 8% | 25% | 34% | 23% | 7% | 1% |
59 | REPIC Oliver | 2% | 15% | 32% | 32% | 15% | 3% | - |
60 | PARK Nicholas | - | 2% | 9% | 26% | 35% | 23% | 5% |
61 | HUANG Kenneth | 2% | 14% | 32% | 32% | 16% | 4% | - |
62 | WONG Baron | 3% | 16% | 32% | 31% | 15% | 3% | - |
63 | CHENH Justin | 8% | 30% | 36% | 20% | 6% | 1% | - |
64 | MEGGERS Davin | 1% | 8% | 25% | 35% | 23% | 7% | 1% |
65 | FU Leon | - | - | 2% | 11% | 30% | 38% | 18% |
66 | SAVORETTI Pietro | 1% | 7% | 22% | 34% | 26% | 9% | 1% |
67 | DESTEFANO Julius | - | - | 2% | 10% | 28% | 39% | 21% |
68 | VILLALOBOSKOWALSKI Demetrious C. | - | 2% | 11% | 29% | 35% | 19% | 4% |
69 | MAO Benjamin | - | 1% | 5% | 18% | 35% | 31% | 10% |
70 | KIM Ian | - | 3% | 14% | 31% | 33% | 16% | 3% |
71 | CHEN Zhengyang (Allen) | 1% | 13% | 32% | 34% | 17% | 3% | |
72 | BUI Henry | 1% | 9% | 26% | 34% | 22% | 7% | 1% |
73 | LAM Alan | - | 3% | 12% | 29% | 34% | 18% | 3% |
74 | IARIKOV Nicholas | - | - | 1% | 9% | 27% | 40% | 23% |
75 | MORIN-JIANG Jake | 8% | 27% | 36% | 22% | 7% | 1% | - |
76 | PAL Ian K. | 7% | 26% | 35% | 23% | 7% | 1% | - |
77 | FRANGER Max | 3% | 19% | 36% | 29% | 11% | 2% | - |
78 | SINHA Zaan | 1% | 7% | 24% | 35% | 25% | 8% | 1% |
79 | CAO Brad | - | 5% | 19% | 35% | 31% | 10% | |
80 | SONG Troy | 2% | 19% | 39% | 30% | 8% | 1% | |
81 | MCMILLAN Jackson V. | 28% | 41% | 23% | 6% | 1% | - | |
82 | SOKOL Luke | 3% | 18% | 35% | 30% | 12% | 2% | - |
83 | GAO Zachary | - | 3% | 15% | 32% | 33% | 15% | 3% |
84 | TIEN Jabin | - | 3% | 14% | 31% | 32% | 16% | 3% |
85 | HU Anton | 1% | 12% | 29% | 33% | 18% | 5% | 1% |
86 | MUGA Aiden | 1% | 8% | 24% | 34% | 24% | 8% | 1% |
86 | ALI Farhan | - | 6% | 20% | 33% | 28% | 11% | 2% |
86 | ZHANG Roland | 17% | 37% | 30% | 12% | 3% | - | - |
89 | THOMAS Michael | 2% | 13% | 31% | 33% | 17% | 5% | - |
90 | SNYDER Ari | 1% | 6% | 21% | 35% | 27% | 10% | 1% |
91 | HE Zhiheng | - | 2% | 11% | 27% | 34% | 21% | 5% |
92 | HEADRICK Jack | 9% | 29% | 35% | 20% | 6% | 1% | - |
93 | HU Robert J. | 2% | 11% | 29% | 35% | 19% | 4% | |
94 | YU Austin | 1% | 9% | 26% | 35% | 23% | 6% | |
95 | CHAI Ethan | 5% | 21% | 35% | 28% | 10% | 1% | |
96 | WANG Xiangdong | 15% | 36% | 33% | 13% | 3% | - | - |
97 | YU Jason | 4% | 24% | 37% | 25% | 8% | 1% | - |
98 | CHEN Luowen | 37% | 41% | 17% | 4% | - | - | - |
99 | LEE JoonWon | - | 2% | 10% | 27% | 35% | 21% | 4% |
99 | SHA Michael | 1% | 8% | 25% | 35% | 23% | 7% | 1% |
99 | PETROVICH Alexandar | 13% | 34% | 33% | 16% | 4% | - | - |
102 | BOUDREAUX James | - | 6% | 22% | 36% | 26% | 8% | 1% |
103 | MEHROTRA Neel | 6% | 28% | 38% | 22% | 6% | 1% | - |
103 | WANG Joey | - | 4% | 17% | 32% | 31% | 14% | 2% |
105 | MODANLOU Navid | 5% | 24% | 36% | 25% | 9% | 1% | - |
106 | LEE Aiden | 2% | 13% | 31% | 33% | 16% | 4% | - |
107 | MIAO Quentin | - | 4% | 18% | 35% | 30% | 11% | 1% |
107 | OKUN Benjamin | 24% | 41% | 26% | 8% | 1% | - | - |
109 | KE Sebastian | 23% | 41% | 26% | 8% | 1% | - | - |
110 | ESPINAL DAPIC Nicolas | 10% | 32% | 35% | 18% | 5% | 1% | - |
111 | OBERDERFER Vladimir | 2% | 15% | 37% | 34% | 11% | 1% | |
112 | HULL Liam | 6% | 25% | 36% | 24% | 7% | 1% | |
113 | CHIN Dylan A. | 2% | 14% | 33% | 34% | 15% | 3% | |
114 | WEIKEL Joel | 54% | 36% | 9% | 1% | - | - | |
115 | GANESAN Mathavan | 5% | 28% | 40% | 22% | 5% | - | |
116 | CHHU Allen | 12% | 34% | 34% | 16% | 4% | - | - |
117 | VANOYEN Dominick | 7% | 27% | 36% | 22% | 7% | 1% | - |
118 | LEE Aiden | 20% | 39% | 28% | 10% | 2% | - | - |
119 | DONNELLY Enzo | 43% | 40% | 14% | 2% | - | - | - |
120 | DU SHUNYU K. | - | 4% | 18% | 34% | 30% | 12% | 2% |
121 | LOISEAU Oscar | 8% | 29% | 36% | 21% | 6% | 1% | - |
122 | ERLIKHMAN Adrian | - | 4% | 18% | 32% | 30% | 13% | 2% |
122 | LEE DoWon | 12% | 34% | 35% | 16% | 3% | - | - |
124 | JU Hanul | 3% | 17% | 34% | 30% | 13% | 3% | - |
125 | ZHANG Lucas | 12% | 35% | 34% | 15% | 3% | - | - |
126 | SAUNIER Cameron | 12% | 32% | 35% | 17% | 4% | - | |
127 | ZOGRAFOS Nicholas | 32% | 42% | 21% | 5% | 1% | - | - |
128 | FANG Hanning | 3% | 15% | 32% | 31% | 15% | 4% | - |
129 | HERNDON Liam | 10% | 32% | 36% | 18% | 4% | - | - |
130 | MARKOWITZ Sam | 24% | 40% | 26% | 8% | 1% | - | - |
131 | SHEN Jiayi | 49% | 38% | 11% | 2% | - | - | |
132 | YI Nathan | 18% | 39% | 30% | 11% | 2% | - | - |
133 | STAFFORD Bryan | 7% | 26% | 36% | 23% | 7% | 1% | - |
134 | SZIEDE Kieran | 46% | 39% | 12% | 2% | - | - | - |
135 | ORESKOVIC Olivier | 48% | 38% | 12% | 2% | - | - | - |
136 | ARMSTRONG TyLee | 21% | 39% | 28% | 10% | 2% | - | - |
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.