Greater Columbus Convention Center - Columbus, OH, 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 | LIM EUNSEONG | - | - | - | 1% | 7% | 34% | 58% |
2 | DESERANNO Leander | - | - | - | - | 1% | 14% | 85% |
3 | RAU Shogun | - | - | 1% | 7% | 31% | 44% | 17% |
3 | XIAN kevin | - | - | - | - | 2% | 22% | 75% |
5 | TAN Charlie | - | - | - | 1% | 9% | 37% | 53% |
6 | KUANG Cyrus | - | - | 1% | 5% | 23% | 43% | 28% |
6 | HUYNH Matthew | - | - | - | 2% | 11% | 38% | 49% |
6 | PARK Andrew | - | - | - | 1% | 7% | 35% | 57% |
9 | ZHAO Nathan | - | - | - | - | 1% | 17% | 82% |
11 | SIU Max | - | - | 2% | 14% | 44% | 40% | |
12 | QIAN Henry | - | - | - | 1% | 9% | 36% | 55% |
12 | LIU Alex | - | - | 1% | 5% | 23% | 43% | 28% |
14 | GUGALA Frank | - | 1% | 6% | 24% | 39% | 25% | 4% |
15 | XU Jason | - | 2% | 14% | 36% | 36% | 12% | 1% |
16 | WANG Mendy | - | - | - | 2% | 13% | 40% | 45% |
17 | ZHAI Alex | - | - | 1% | 5% | 21% | 43% | 31% |
18 | SLAIN Owen | - | - | - | 5% | 21% | 43% | 31% |
19 | DIFRANK Avery | - | 1% | 6% | 26% | 45% | 23% | |
20 | ALVAREZ Francisco Janusz | - | 2% | 12% | 31% | 38% | 17% | |
21 | HU Michael | - | 1% | 7% | 25% | 39% | 25% | 5% |
22 | LU Brandon | - | - | 3% | 16% | 36% | 34% | 11% |
23 | SUN Roy | - | - | 1% | 6% | 24% | 43% | 25% |
24 | MURDOCK Koichi | - | - | 5% | 20% | 39% | 30% | 6% |
25 | XIE Jayden | - | - | 1% | 6% | 24% | 42% | 27% |
26 | HUANG Dalynn | - | - | 3% | 16% | 36% | 34% | 10% |
27 | LIN Conrad | - | - | 2% | 9% | 28% | 40% | 21% |
28 | WU Gengze (Daniel) | - | - | 2% | 13% | 41% | 44% | |
29 | VENAFRO Tristan | - | 1% | 8% | 29% | 41% | 20% | |
30 | TSUI Kaylan Ho Sen | - | 1% | 8% | 29% | 40% | 20% | 1% |
31 | XU Ethan | - | - | 5% | 21% | 42% | 32% | |
32 | DANTON Ryan | - | 3% | 16% | 34% | 34% | 12% | |
33 | SUAREZ Lucas | - | - | 1% | 6% | 24% | 44% | 25% |
34 | WU Wallace | - | - | - | - | 3% | 23% | 74% |
35 | CHANG Parker | - | - | - | 3% | 15% | 41% | 42% |
36 | JIAO Daniel | 1% | 10% | 25% | 33% | 22% | 7% | 1% |
37 | HUYNH Kaleb | - | 4% | 18% | 36% | 31% | 10% | 1% |
38 | LI Aaron | - | - | 2% | 16% | 44% | 35% | 4% |
39 | ZHANG Aaron | - | - | 2% | 11% | 34% | 42% | 11% |
39 | ZHENG Lerui | - | 1% | 7% | 22% | 36% | 27% | 7% |
41 | KIAYIAS Anthony | - | - | 4% | 17% | 36% | 33% | 10% |
42 | PESKIN Kepler | - | - | 4% | 20% | 40% | 29% | 7% |
43 | YANG Steve | - | - | 5% | 25% | 47% | 22% | |
44 | MOON Nolan | 4% | 23% | 39% | 26% | 7% | 1% | |
45 | LEE Conrad | - | 1% | 6% | 20% | 36% | 29% | 9% |
46 | WU Silin | - | - | 2% | 11% | 31% | 40% | 16% |
47 | CAO Joshua | - | 1% | 7% | 23% | 37% | 27% | 6% |
48 | TAN benjamin | 1% | 8% | 26% | 36% | 23% | 6% | - |
49 | LEE Joshua | - | 1% | 9% | 29% | 39% | 20% | 1% |
50 | CHENG Alvin | 2% | 11% | 30% | 35% | 19% | 4% | - |
51 | HAN Jiaren | - | - | 4% | 19% | 42% | 32% | 3% |
52 | WILSON Jacob | - | 2% | 12% | 34% | 38% | 13% | 1% |
53 | XIA Vincent | - | 2% | 13% | 34% | 36% | 14% | 1% |
54 | SHARMA Ari | - | 1% | 6% | 23% | 39% | 26% | 5% |
55 | ROPER Griffin | - | 4% | 21% | 38% | 28% | 8% | 1% |
56 | CREMEL Remi | - | 1% | 10% | 28% | 37% | 20% | 4% |
57 | WANG Caleb | - | 1% | 9% | 30% | 41% | 19% | |
58 | JIN Xueyuan George | - | - | 5% | 22% | 44% | 28% | |
59 | MONDESIR Chace | 1% | 9% | 32% | 40% | 16% | 2% | |
60 | YANG Gavin | 6% | 30% | 39% | 20% | 4% | - | |
61 | SONG Enoch | - | 1% | 6% | 24% | 38% | 25% | 5% |
62 | TURBAT Travis | - | 1% | 7% | 22% | 35% | 27% | 8% |
63 | LIU Aiden | 6% | 30% | 38% | 20% | 5% | 1% | - |
64 | MA Justin | 2% | 17% | 37% | 32% | 11% | 1% | |
65 | CAO Aaron | - | 1% | 7% | 24% | 38% | 25% | 5% |
66 | LI Andrew | 2% | 14% | 31% | 32% | 16% | 4% | - |
67 | MAZAHERI Theodore | - | 3% | 16% | 37% | 36% | 9% | |
68 | CHONG Cooper | 15% | 37% | 32% | 13% | 2% | - | - |
69 | MAZAHERI John | - | - | 3% | 16% | 38% | 36% | 7% |
70 | ZHAO David | - | - | 4% | 21% | 44% | 28% | 3% |
71 | CHEN Solomon | 3% | 16% | 33% | 31% | 14% | 3% | - |
72 | TIAN Andy | - | 3% | 16% | 34% | 33% | 13% | 1% |
73 | KAJITA Grayson | 2% | 16% | 37% | 32% | 11% | 2% | - |
74 | ZHANG Kyle J | - | - | - | 2% | 15% | 53% | 31% |
75 | CHEN Ryker | - | - | 2% | 11% | 29% | 38% | 19% |
76 | WANG Eason | 1% | 6% | 21% | 36% | 27% | 9% | 1% |
77 | BHANGOO Arman | 21% | 41% | 28% | 9% | 1% | - | |
78 | ZHU Ming | 2% | 16% | 35% | 32% | 13% | 2% | - |
79 | CHEN Ethan | 1% | 8% | 26% | 37% | 23% | 5% | |
80 | SHENOY Neil | 4% | 23% | 41% | 26% | 6% | - | |
81 | HUANG Owen | 1% | 9% | 31% | 39% | 17% | 3% | |
82 | XU ETHAN | 2% | 20% | 39% | 29% | 9% | 1% | |
83 | MCCOOL Henry | 3% | 15% | 31% | 32% | 16% | 3% | - |
84 | PARK Avan | - | 1% | 9% | 27% | 37% | 21% | 3% |
85 | WANG William | 1% | 5% | 21% | 37% | 29% | 8% | |
86 | WU Max | - | 3% | 14% | 33% | 34% | 14% | 2% |
87 | MORALES Tycho | 1% | 9% | 28% | 36% | 21% | 5% | - |
88 | WU David | 13% | 33% | 33% | 16% | 4% | 1% | - |
89 | LIU Brady | 2% | 19% | 37% | 30% | 11% | 2% | - |
90 | TROYANKER Makar | 1% | 9% | 28% | 36% | 21% | 5% | - |
91 | FOO Kingston | - | 2% | 16% | 38% | 34% | 10% | - |
92 | HICKEY Dylan | - | 2% | 10% | 28% | 37% | 20% | 3% |
93 | LIGERET Leo | - | 3% | 15% | 34% | 34% | 13% | 1% |
94 | LITVACK Jackson | 10% | 33% | 37% | 16% | 3% | - | - |
94 | ZHANG Eric | - | 6% | 26% | 39% | 23% | 5% | - |
96 | KUTATELADZE Danieli | 10% | 35% | 35% | 16% | 3% | - | - |
97 | LIU Runze | - | 5% | 19% | 35% | 30% | 10% | 1% |
98 | NGO Lincoln | 29% | 45% | 23% | 4% | - | - | - |
99 | ZHENG Vincent | - | 7% | 26% | 39% | 23% | 5% | |
100 | YIN Luke | 19% | 40% | 30% | 10% | 2% | - | |
101 | JUE Lucas | 1% | 12% | 34% | 36% | 15% | 2% | - |
102 | SINGH Reyaansh | 20% | 40% | 29% | 9% | 1% | - | - |
103 | SHENOY sean | - | 4% | 19% | 35% | 31% | 11% | 1% |
104 | MANANSALA Caleb | - | 5% | 22% | 37% | 27% | 8% | 1% |
105 | HOARE Gabriel | - | 5% | 20% | 36% | 29% | 9% | 1% |
106 | WILLIAMS Thomas | 6% | 25% | 36% | 24% | 8% | 1% | - |
106 | KRESS Elias | 12% | 34% | 35% | 16% | 3% | - | - |
108 | HO Cameron | - | 9% | 33% | 37% | 17% | 4% | - |
109 | LIN Stewart | 23% | 40% | 27% | 9% | 1% | - | - |
110 | SINGH Jai Anand | - | 5% | 22% | 38% | 27% | 7% | - |
110 | LI Lief | 2% | 13% | 30% | 33% | 17% | 4% | - |
112 | LI Alexander | 2% | 17% | 36% | 31% | 12% | 2% | - |
113 | CHEN Kyle | 5% | 24% | 38% | 25% | 7% | 1% | - |
114 | NEMI Jai | 3% | 15% | 33% | 32% | 14% | 2% | - |
115 | CHOE Austin | 9% | 35% | 36% | 16% | 3% | - | - |
116 | HONG Thomas | 3% | 17% | 35% | 31% | 12% | 2% | |
117 | SAWANT Sarthak | 9% | 36% | 38% | 15% | 2% | - | |
118 | HUA Isaac | 3% | 19% | 38% | 30% | 9% | 1% | |
119 | SUSSMAN Gabriel | 24% | 44% | 26% | 6% | - | - | |
120 | CHEN Evan | 9% | 31% | 36% | 19% | 5% | - | - |
121 | NGUYEN Norris | 4% | 18% | 32% | 29% | 14% | 3% | - |
122 | LALONDE Oscar | 2% | 19% | 41% | 29% | 8% | 1% | - |
123 | GAO Wesley | - | 2% | 14% | 36% | 34% | 13% | 1% |
124 | DEV Vivaan | 5% | 23% | 37% | 26% | 8% | 1% | - |
125 | KOSCIK-AQUINO Nicholas | 6% | 23% | 35% | 26% | 9% | 1% | - |
126 | HOFFMAN Zane | 2% | 13% | 32% | 35% | 16% | 3% | |
127 | GOLDSTEIN Tate | 4% | 18% | 34% | 29% | 12% | 2% | - |
128 | POLEBOYINA Aarav | 53% | 37% | 9% | 1% | - | - | - |
129 | KALINA Levi | 1% | 9% | 27% | 36% | 21% | 5% | - |
130 | BAIER Leon | 11% | 31% | 34% | 19% | 5% | 1% | - |
131 | LI Jonathan | 5% | 25% | 42% | 23% | 4% | - | |
132 | CHUNG Royce | 4% | 19% | 35% | 30% | 11% | 1% | |
133 | TEOH Liam | 8% | 27% | 35% | 22% | 7% | 1% | - |
134 | WANG Grant | - | 5% | 19% | 35% | 30% | 10% | 1% |
135 | LECH Landon | - | 4% | 17% | 32% | 30% | 14% | 2% |
136 | SCHOR William | 61% | 33% | 6% | - | - | - | - |
137 | TAN Alan | 2% | 14% | 36% | 34% | 12% | 1% | - |
138 | CRAWFORD Miles | 27% | 46% | 22% | 5% | - | - | - |
139 | FANG Ryan | 15% | 40% | 33% | 11% | 1% | - | - |
140 | SHINDE Aksh | 9% | 28% | 35% | 21% | 6% | 1% | - |
141 | MILLIMAN August | 8% | 38% | 37% | 14% | 3% | - | - |
142 | MADDES Gage | 4% | 21% | 37% | 28% | 8% | 1% | - |
143 | HWANG Jasper | 1% | 8% | 29% | 40% | 19% | 3% | - |
144 | NAYAK Saideep | 20% | 46% | 27% | 6% | 1% | - | - |
145 | BROWN Rhys | 15% | 37% | 32% | 13% | 2% | - | |
146 | CHEN Zhi-yang | 8% | 32% | 39% | 17% | 3% | - | - |
147 | GOLDSTEIN Benjamin | 1% | 9% | 29% | 36% | 20% | 5% | - |
148 | GLENN William | - | < 1% | 1% | 5% | 22% | 43% | 29% |
149 | SCHWARTZ David | 1% | 6% | 21% | 34% | 28% | 10% | 1% |
149 | CAINE Liam | 5% | 22% | 35% | 27% | 10% | 2% | - |
149 | RICHARD Henry | 15% | 39% | 33% | 12% | 2% | - | - |
152 | VASANTH Arjun | 39% | 43% | 16% | 2% | - | - | - |
153 | TARDIFF Owen | 2% | 11% | 29% | 34% | 19% | 5% | - |
153 | CREMEL Louis | 40% | 44% | 14% | 2% | - | - | - |
155 | PALMERKLEIN Justin | 8% | 28% | 37% | 21% | 6% | 1% | - |
156 | SHAH Aadi | 6% | 42% | 37% | 13% | 2% | - | - |
157 | BROD Baylin | 32% | 43% | 20% | 4% | - | - | - |
158 | MENG Andy | 3% | 20% | 38% | 29% | 10% | 1% | - |
158 | YU Ethan | 1% | 11% | 32% | 36% | 17% | 3% | - |
160 | PARK Nathan | 27% | 45% | 23% | 5% | - | - | - |
161 | WU Connor | 11% | 33% | 35% | 17% | 4% | - | |
162 | LIN Dylan | 46% | 40% | 12% | 2% | - | - | - |
163 | DONALDSON Armon | 49% | 38% | 11% | 2% | - | - | |
164 | CHEN Jesse | 17% | 37% | 31% | 12% | 2% | - | - |
165 | GU Evan | 56% | 36% | 8% | 1% | - | - | |
166 | ANTHONY Henry | 2% | 17% | 39% | 31% | 10% | 1% | - |
166 | YU Ryan | 15% | 40% | 32% | 11% | 2% | - | - |
168 | KIM JOSHUA | 14% | 39% | 35% | 11% | 1% | - | - |
169 | FREDRICHS Hudson | 43% | 41% | 14% | 2% | - | - | |
170 | CHITWOOD Charles | 23% | 41% | 27% | 8% | 1% | - | - |
170 | PARK Joseph | 19% | 40% | 30% | 10% | 2% | - | - |
172 | DONALDSON Andrew | 34% | 44% | 18% | 3% | - | - | - |
172 | ANDERSON Stellan | 78% | 21% | 2% | - | - | - | - |
172 | KIM ISAAC | 69% | 27% | 4% | - | - | - | - |
175 | GUTH Samuel | 40% | 42% | 15% | 3% | - | - | - |
176 | AYNAMPUDI Vihaan Varma | 24% | 46% | 24% | 5% | - | - | |
177 | CHEN James | 19% | 40% | 30% | 9% | 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.