Fort Worth, TX, 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 | GONZALEZ Emilio A. | - | - | - | - | 4% | 31% | 65% |
2 | PATIL Aaryan A. | - | - | - | 5% | 24% | 44% | 27% |
3 | HOLZ Daniel | - | - | - | 1% | 8% | 34% | 56% |
3 | KILARI Krish | - | 1% | 10% | 31% | 40% | 18% | |
5 | BROU Inkosi | - | - | 3% | 17% | 39% | 32% | 8% |
6 | SHOMAN Zachary | - | - | - | 1% | 11% | 40% | 47% |
7 | HU Christopher | - | - | - | 2% | 14% | 42% | 42% |
8 | PRIMUS Nazir | - | - | - | 4% | 20% | 45% | 31% |
9 | SHOMAN Noah | - | - | - | 1% | 9% | 37% | 53% |
10 | CHOI Silas | - | - | 3% | 16% | 41% | 40% | |
11 | MICLAUS Justin | - | - | - | 3% | 16% | 41% | 41% |
12 | BAE Jason I. | - | - | - | 1% | 10% | 37% | 52% |
13 | PI Alexander | - | - | 1% | 6% | 24% | 43% | 26% |
14 | SU Landon | - | - | 1% | 11% | 36% | 40% | 11% |
15 | LEE Noah | 1% | 10% | 30% | 36% | 19% | 5% | - |
16 | ZHANG Derek | - | 1% | 9% | 29% | 41% | 20% | |
17 | LIM William J. | - | - | - | - | 6% | 31% | 63% |
17 | LI Yiwei | - | 2% | 10% | 29% | 36% | 19% | 4% |
19 | MIYASAKI-CASTRO Masanobu | - | - | 1% | 12% | 42% | 45% | |
20 | RAMANAN Govind | - | - | 2% | 16% | 39% | 35% | 8% |
21 | ROE Finnegan | - | 3% | 14% | 30% | 33% | 17% | 3% |
22 | ATANASSOV Vasil V. | - | - | - | 1% | 6% | 32% | 62% |
23 | EYBELMAN Ariel | - | 3% | 18% | 36% | 32% | 11% | 1% |
24 | DENBROEDER Ronald (Mackie) | 1% | 7% | 23% | 35% | 25% | 8% | 1% |
25 | KALPATHY Rohit | - | - | 2% | 13% | 37% | 36% | 12% |
25 | REN James | - | - | 1% | 6% | 22% | 42% | 30% |
27 | YANG Dylan | - | 1% | 5% | 20% | 37% | 30% | 8% |
28 | GUFFEY Christopher | - | 1% | 8% | 31% | 44% | 15% | |
29 | TAO Jeffrey | - | - | - | 3% | 19% | 44% | 34% |
30 | WU Richard | 1% | 6% | 23% | 37% | 26% | 7% | 1% |
31 | ANTHONY Devyn V. | - | - | 3% | 15% | 35% | 35% | 12% |
32 | ZHENG LEON | 5% | 28% | 39% | 22% | 5% | - | |
33 | CHTERENTAL Alex | - | - | 1% | 5% | 20% | 42% | 32% |
33 | PATEL Rayn | - | - | 3% | 16% | 39% | 36% | 6% |
35 | QIU Nathan | - | - | 1% | 7% | 25% | 42% | 26% |
35 | OH Triton | - | - | - | 2% | 12% | 40% | 46% |
37 | DALAL Rohan | - | - | 4% | 19% | 39% | 30% | 7% |
38 | KWALWASSER Eric | - | - | - | 1% | 11% | 39% | 48% |
39 | ZHANG Ethan W. | - | 1% | 10% | 30% | 38% | 19% | 2% |
40 | WANG Nicolas | - | - | - | 4% | 19% | 44% | 33% |
41 | STURN Oliver | - | - | 1% | 5% | 23% | 45% | 26% |
42 | LEE Aydan J. | - | - | - | - | 4% | 27% | 69% |
43 | JOO Jeein | - | 1% | 6% | 21% | 37% | 29% | 7% |
44 | SHIRPAL Oleksandr | - | - | - | 3% | 16% | 41% | 40% |
45 | KUSHKOV Daniel | - | 1% | 11% | 29% | 36% | 19% | 3% |
46 | LIN Philip T. | 2% | 14% | 33% | 33% | 15% | 3% | - |
47 | DECK Tyson | - | - | 4% | 21% | 42% | 28% | 5% |
48 | FRANCOIS Alexander C. | - | 4% | 19% | 36% | 31% | 10% | 1% |
49 | KROON Lucas | - | 1% | 6% | 21% | 35% | 29% | 8% |
49 | KATZ Ryan | - | 4% | 17% | 33% | 31% | 12% | 2% |
49 | KANG Evan | - | 4% | 21% | 41% | 27% | 7% | 1% |
52 | WANG Zhuoyi | - | 3% | 16% | 35% | 33% | 11% | 1% |
53 | WANG Justin | - | - | 2% | 13% | 36% | 38% | 12% |
54 | MATTOO Surya | 1% | 8% | 27% | 37% | 21% | 5% | - |
54 | YERRAMILLI Tejas | - | 1% | 7% | 25% | 39% | 23% | 4% |
56 | MUNGUIA Nathan | - | 5% | 20% | 35% | 28% | 10% | 1% |
57 | VAUGHN Jason | - | 3% | 16% | 34% | 32% | 12% | 1% |
58 | YAN Kevin | - | 4% | 19% | 36% | 30% | 11% | 1% |
59 | PASTORE LIU Vince | - | 5% | 21% | 35% | 28% | 10% | 1% |
60 | NGUYEN Anthony | 2% | 12% | 30% | 33% | 18% | 4% | - |
61 | TSAO Oliver | 2% | 13% | 32% | 34% | 17% | 3% | - |
62 | CHEN Jonathan | 1% | 7% | 28% | 42% | 20% | 3% | |
63 | NG Jonathan | 2% | 11% | 28% | 34% | 20% | 5% | - |
64 | ANAND Rohan | - | - | 4% | 19% | 37% | 31% | 8% |
65 | MCCARTHY Gabriel | - | - | - | 4% | 21% | 45% | 28% |
66 | CHEONG Heonjun | - | - | 1% | 7% | 24% | 41% | 28% |
67 | LIN Daniel | - | - | 1% | 5% | 21% | 43% | 30% |
68 | GAO Albert | - | - | 1% | 9% | 27% | 40% | 23% |
69 | RAMANAN Jaisimh | - | 1% | 5% | 20% | 36% | 30% | 8% |
69 | KIM ELIJAH | - | 1% | 6% | 22% | 38% | 29% | 5% |
71 | KIM Shaun M. | - | - | - | 1% | 6% | 33% | 60% |
72 | CRAIG Samuel | - | - | 3% | 16% | 36% | 34% | 11% |
73 | VAID Luke | - | 1% | 6% | 23% | 39% | 26% | 5% |
74 | KANG evan R. | - | - | 1% | 8% | 28% | 44% | 20% |
75 | ZHAO Zhiyu | 1% | 6% | 24% | 38% | 24% | 6% | 1% |
76 | DOWNEY Baran | - | 2% | 14% | 32% | 33% | 16% | 3% |
77 | YAN William | - | 4% | 18% | 35% | 30% | 12% | 2% |
78 | WANG daniel | - | - | - | 4% | 36% | 49% | 11% |
79 | LIN Maxim | - | 3% | 15% | 33% | 33% | 14% | 2% |
80 | BARRIOS Diego | - | 5% | 20% | 36% | 28% | 9% | 1% |
81 | ZHOU James Y. | - | - | 4% | 18% | 38% | 32% | 8% |
82 | LAUB William | 5% | 27% | 40% | 22% | 5% | - | - |
83 | ANDRES Michael | - | 2% | 12% | 29% | 35% | 19% | 4% |
84 | CHEEMA Hyder | - | - | 3% | 18% | 42% | 31% | 6% |
85 | BOSITA Carson | - | - | 4% | 19% | 39% | 32% | 7% |
86 | KO Zuriel | 2% | 18% | 36% | 30% | 12% | 2% | - |
87 | HUANG Alex F. | - | - | 1% | 7% | 26% | 44% | 22% |
87 | KIM Theodore | 9% | 30% | 36% | 20% | 5% | - | - |
89 | MAHAPATRA SAMARTH | - | - | 1% | 9% | 47% | 38% | 6% |
89 | XU Ivan | 2% | 15% | 39% | 38% | 6% | - | - |
91 | KOVALEV Daniil N. | - | 2% | 13% | 32% | 34% | 16% | 2% |
92 | BYON Julian | - | 3% | 15% | 31% | 33% | 15% | 2% |
93 | ZHAO Lucas | - | 5% | 23% | 39% | 26% | 6% | - |
94 | SAHAY Kenji | - | 1% | 9% | 27% | 36% | 22% | 5% |
95 | MEDVINSKY Daniel | 1% | 11% | 31% | 35% | 18% | 4% | - |
96 | LIGH Checed | 17% | 38% | 31% | 12% | 2% | - | - |
97 | KUMAR Sachit | - | - | 2% | 10% | 31% | 41% | 17% |
98 | GONG Jerry | 1% | 9% | 27% | 37% | 22% | 4% | |
99 | BELL III Alfred (Tripp) R. | 2% | 16% | 36% | 32% | 12% | 2% | |
100 | CHUNG Connor | - | 2% | 11% | 32% | 37% | 17% | 2% |
101 | POFF Kainoa | 1% | 6% | 22% | 36% | 27% | 8% | 1% |
102 | BRANDT Jaden | - | 1% | 8% | 25% | 38% | 24% | 4% |
103 | MATTOO Deven | 1% | 8% | 34% | 39% | 16% | 2% | - |
104 | TUNG Ryan | 6% | 25% | 36% | 24% | 8% | 1% | - |
105 | OH Aster | 1% | 7% | 24% | 38% | 24% | 6% | - |
105 | KESSLER Nathan | 1% | 16% | 36% | 32% | 13% | 2% | - |
107 | LIN Steve | - | 1% | 7% | 26% | 40% | 24% | 3% |
108 | LIN Felix | 1% | 6% | 24% | 37% | 25% | 7% | 1% |
109 | RADJABLI Maximillian | 2% | 13% | 31% | 34% | 17% | 4% | - |
110 | ATWOOD Griffin | - | 2% | 14% | 35% | 35% | 13% | 1% |
110 | KIM Ethan | - | - | 2% | 14% | 37% | 36% | 11% |
112 | YAP Kah Kai (Cayden) | 2% | 20% | 38% | 29% | 10% | 2% | - |
113 | CHOW William T. | - | 2% | 11% | 28% | 35% | 20% | 4% |
114 | BERA Enzo | - | 3% | 15% | 33% | 32% | 14% | 2% |
115 | MEYERSON Jacob | 1% | 9% | 28% | 37% | 21% | 4% | - |
116 | OLARIO Raphael | 17% | 39% | 31% | 11% | 2% | - | - |
117 | ERMAKOV Semeon | 3% | 16% | 34% | 32% | 13% | 2% | |
118 | GOLDIN Lucca | 3% | 16% | 34% | 32% | 13% | 2% | |
119 | ZHANG Yupeng | 10% | 31% | 36% | 18% | 4% | - | |
120 | BONIFIELD Arthur G. | - | - | 1% | 5% | 22% | 42% | 30% |
121 | SHANKWILER Christopher | 1% | 7% | 23% | 35% | 25% | 8% | 1% |
122 | LI Howard | - | 3% | 15% | 33% | 33% | 14% | 2% |
123 | HUBLALL Ethan | 5% | 23% | 36% | 26% | 9% | 2% | - |
124 | AUTREY Adrien | 20% | 41% | 29% | 9% | 1% | - | - |
125 | HRISTOV Kris | 1% | 6% | 25% | 40% | 23% | 5% | - |
126 | SOWERS Samuel | 1% | 10% | 31% | 37% | 18% | 3% | |
127 | SUN Bill | 21% | 41% | 28% | 9% | 1% | - | - |
127 | WANG Weiyun | 1% | 11% | 30% | 35% | 18% | 4% | - |
129 | CONTRACTOR Cyrus | 30% | 46% | 21% | 4% | - | - | |
130 | WANG HongXi | 51% | 38% | 10% | 1% | - | - | |
131 | GILSHTEYN Jacob | 1% | 8% | 26% | 37% | 22% | 5% | - |
132 | KERCHER Alexander | 1% | 12% | 35% | 35% | 15% | 3% | - |
133 | KIM Kendrick | 1% | 10% | 31% | 36% | 18% | 4% | - |
134 | LEE Andrew | 1% | 8% | 25% | 36% | 23% | 6% | 1% |
135 | DOLEV Ido | 17% | 38% | 32% | 11% | 2% | - | - |
136 | AO Christopher | 2% | 20% | 38% | 29% | 10% | 1% | - |
137 | GREMILLION Obadiah | 3% | 18% | 36% | 30% | 11% | 2% | - |
138 | ZLATINSKI Jason | 20% | 41% | 29% | 9% | 1% | - | - |
139 | SHIPITSIN Alexander | 1% | 9% | 28% | 36% | 21% | 5% | - |
140 | WAXLER Ryan | 6% | 28% | 38% | 22% | 6% | 1% | - |
141 | SKARBONKIEWICZ Maksymilian A. | - | 3% | 15% | 34% | 34% | 13% | 1% |
142 | FAYETTE Julien | 10% | 30% | 34% | 19% | 6% | 1% | - |
143 | GUREVICH Benjamin | 1% | 11% | 29% | 35% | 20% | 4% | - |
143 | RAMTEKKAR Soham | 1% | 7% | 29% | 39% | 20% | 4% | - |
145 | BREUER Daniel | 5% | 39% | 40% | 14% | 2% | - | - |
146 | CHAN Henry | 6% | 26% | 37% | 23% | 7% | 1% | - |
147 | VEDRE Neil | 17% | 39% | 32% | 11% | 2% | - | - |
147 | KUMAR Arjun | 4% | 20% | 36% | 29% | 10% | 1% | - |
149 | LIN Lucas | 21% | 43% | 28% | 7% | 1% | - | - |
150 | SUGIURA Samuel | - | - | 4% | 18% | 39% | 32% | 7% |
151 | HOLZ Lucas | 5% | 20% | 34% | 28% | 11% | 2% | - |
152 | SECOR Solomon | 17% | 42% | 32% | 8% | - | - | - |
153 | CRAIG Andrew | 2% | 18% | 39% | 31% | 9% | 1% | - |
154 | GONZALEZ Jake | 6% | 24% | 37% | 25% | 7% | 1% | - |
155 | CHEN Lohen | 4% | 21% | 36% | 27% | 10% | 2% | - |
156 | SHA Walter | 43% | 42% | 13% | 2% | - | - | - |
157 | IYER Neil | 13% | 36% | 35% | 14% | 2% | - | - |
158 | XUE Leo | 22% | 43% | 28% | 7% | 1% | - | - |
159 | NGO Maximus | 4% | 23% | 42% | 25% | 5% | - | |
160 | LI AYDEN | 18% | 38% | 31% | 11% | 2% | - | |
161 | HWANG Jayden | - | 6% | 24% | 36% | 25% | 8% | 1% |
162 | NOTOPRADONO Nicholas | 12% | 34% | 34% | 16% | 4% | - | - |
163 | CHON Collin | - | 7% | 25% | 37% | 23% | 6% | 1% |
164 | ZHOU William | 11% | 37% | 35% | 14% | 3% | - | - |
164 | SO Preston | 4% | 29% | 39% | 22% | 6% | 1% | - |
164 | WILKINSON James | 2% | 16% | 36% | 32% | 12% | 2% | - |
167 | ALMEDA Stanislav | 7% | 28% | 38% | 21% | 5% | 1% | - |
168 | HERRERA aragon | 7% | 30% | 40% | 19% | 4% | - | - |
169 | PINTO Marcus | 5% | 22% | 34% | 26% | 10% | 2% | - |
170 | ZENG Vito | 2% | 22% | 44% | 26% | 6% | 1% | - |
170 | LEE Anderson | 24% | 43% | 25% | 7% | 1% | - | - |
172 | LUHAN Zachary | - | 4% | 15% | 32% | 32% | 15% | 2% |
172 | CETTO Luca | 12% | 37% | 35% | 14% | 2% | - | - |
174 | KIM Evan | 18% | 39% | 30% | 10% | 2% | - | - |
175 | SEETHAMRAJU Pranay | 27% | 45% | 23% | 4% | - | - | - |
176 | GERSTMANN Max T. | 3% | 17% | 33% | 30% | 14% | 3% | - |
176 | WONG Caleb W. | 16% | 44% | 30% | 8% | 1% | - | - |
176 | KOTVALI Aneesh | 55% | 36% | 8% | 1% | - | - | - |
179 | BADUSHOV Anton | 3% | 22% | 37% | 27% | 9% | 1% | - |
180 | CHAN Elliott | 9% | 34% | 40% | 15% | 1% | - | - |
180 | PARKILA Lukas | 4% | 19% | 37% | 29% | 10% | 1% | - |
182 | VAHABZADEH Jake R. | 32% | 47% | 18% | 3% | - | - | - |
183 | FANG Eason | - | 6% | 30% | 41% | 19% | 3% | - |
184 | BONETTI Brayden | 4% | 20% | 33% | 28% | 12% | 2% | - |
184 | MCDANIEL Luke | 41% | 42% | 15% | 2% | - | - | - |
186 | WANG Michael | 34% | 43% | 19% | 4% | - | - | - |
187 | MENG Michael | 46% | 40% | 12% | 2% | - | - | - |
188 | SILVA Joaquin | 55% | 37% | 7% | 1% | - | - | - |
189 | NAMBIAR Navin | 18% | 53% | 24% | 4% | - | - | - |
190 | SANGSTER Arden | 18% | 40% | 30% | 10% | 2% | - | - |
190 | KONGARA Ronit | 40% | 41% | 16% | 3% | - | - | - |
192 | LICHTERMAN Jakub | 16% | 42% | 31% | 10% | 2% | - | - |
193 | REHM Liam | 22% | 44% | 27% | 6% | 1% | - | |
194 | VILEMAITIS Tadas | 12% | 35% | 35% | 15% | 3% | - | - |
195 | GONG Gavin | 9% | 38% | 36% | 14% | 2% | - | - |
195 | VENKATRAMAN Sudhir | 4% | 24% | 40% | 26% | 6% | 1% | - |
195 | CHEN Ryan | 34% | 42% | 20% | 4% | - | - | - |
195 | TURNER Benjamin | 31% | 48% | 18% | 3% | - | - | - |
199 | GOMEZ Emilio | 17% | 39% | 31% | 11% | 1% | - | - |
199 | MALLETT Shane | 28% | 41% | 24% | 7% | 1% | - | - |
201 | TSAO Alister | 64% | 30% | 5% | - | - | - | - |
201 | SINHA Ishaan | 39% | 42% | 16% | 3% | - | - | - |
203 | GUREVICH Savely | 29% | 42% | 22% | 6% | 1% | - | - |
203 | KMETA-SUAREZ Graysen | 72% | 25% | 3% | - | - | - | - |
205 | HAMMERS Neel | 73% | 24% | 3% | - | - | - | - |
206 | KAY Gabriel | 66% | 29% | 5% | - | - | - | - |
207 | SHIH William | 75% | 23% | 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.