Gaylord National Resort and Convention Center - National Harbor, MD, 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 ELIJAH | - | - | - | 1% | 9% | 37% | 53% |
2 | ANTHONY Devyn V. | - | - | - | 1% | 9% | 36% | 55% |
3 | HOTHA Nikhil | - | - | - | 4% | 18% | 41% | 37% |
3 | LEE Brady | 1% | 6% | 22% | 35% | 27% | 9% | 1% |
5 | ZHAO Lucas | - | - | 3% | 17% | 41% | 38% | |
6 | GONZALEZ Jake | - | 1% | 7% | 23% | 38% | 27% | 5% |
7 | NGO Maximus | - | 1% | 6% | 19% | 34% | 30% | 10% |
8 | KIM Kendrick | - | - | 3% | 13% | 32% | 38% | 15% |
9 | SU Landon | - | - | - | - | 4% | 28% | 68% |
9 | DENBROEDER Ronald (Mackie) | - | - | - | - | 5% | 30% | 65% |
11 | HUANG Alex F. | - | - | - | - | 4% | 27% | 69% |
12 | ZHANG Yupeng | - | - | 1% | 8% | 25% | 41% | 25% |
13 | LIN Philip T. | - | - | 3% | 12% | 29% | 37% | 19% |
14 | PEREIRA Beckham | 1% | 5% | 19% | 35% | 30% | 10% | 1% |
15 | NOTOPRADONO Nicholas | - | 1% | 9% | 28% | 42% | 20% | |
16 | ANAND Rishab | - | 3% | 15% | 33% | 33% | 14% | 2% |
17 | GUREVICH Benjamin | - | 1% | 8% | 27% | 42% | 22% | |
18 | ZHOU James Y. | - | - | 1% | 9% | 28% | 41% | 22% |
19 | DECK Tyson | - | - | - | 3% | 18% | 46% | 33% |
20 | LIN Felix | 1% | 5% | 18% | 31% | 30% | 14% | 2% |
21 | HU Christopher | - | - | - | 1% | 6% | 31% | 62% |
22 | WANG Justin | - | - | - | 3% | 19% | 43% | 35% |
23 | SO Preston | - | - | 4% | 18% | 42% | 36% | |
24 | LUC Cedric | 18% | 39% | 31% | 11% | 2% | - | |
25 | LAUB William | - | 1% | 6% | 21% | 35% | 28% | 8% |
26 | WANG Weiyun | - | 4% | 18% | 34% | 31% | 12% | 1% |
27 | OH Aster | - | 2% | 9% | 26% | 35% | 23% | 6% |
27 | BIVIJI Ali | - | 2% | 10% | 26% | 35% | 22% | 5% |
29 | GUREVICH Savely | - | 2% | 12% | 28% | 34% | 20% | 4% |
30 | ANAND Rohan | - | - | 1% | 5% | 20% | 42% | 33% |
31 | PAVLENISHVILI Luke | 15% | 36% | 32% | 14% | 3% | - | - |
32 | XU Ivan | 3% | 18% | 36% | 31% | 11% | 1% | |
33 | YAN William | - | - | 1% | 7% | 24% | 42% | 26% |
34 | LEE Andrew | - | - | - | 4% | 21% | 47% | 28% |
35 | JENSBY Jason | - | 1% | 7% | 28% | 40% | 21% | 3% |
36 | WONG Max | 2% | 12% | 29% | 33% | 19% | 5% | - |
37 | JONES Elijah | - | 3% | 13% | 29% | 33% | 18% | 3% |
38 | AO Christopher | 3% | 15% | 30% | 31% | 17% | 4% | - |
39 | SZULIM Lucjan | 1% | 10% | 26% | 34% | 22% | 7% | 1% |
40 | MEHAN Nicholas | - | - | - | 1% | 8% | 34% | 56% |
41 | SUN Ziyao | - | - | 3% | 17% | 35% | 33% | 11% |
42 | SALDARINI Glenn | - | 1% | 10% | 31% | 37% | 18% | 3% |
43 | ONG Dylan | 1% | 10% | 26% | 34% | 22% | 6% | 1% |
44 | PINTO Marcus | - | - | 1% | 10% | 30% | 40% | 19% |
45 | BALU Aedan | - | 1% | 7% | 26% | 41% | 22% | 3% |
46 | NOVOSYOLOK Zachary | 1% | 10% | 29% | 36% | 19% | 4% | |
47 | DOMINIQUE Remson | - | - | 3% | 16% | 38% | 35% | 7% |
48 | WANG Michael | - | 1% | 9% | 28% | 37% | 20% | 4% |
49 | YANG Phillip | - | 1% | 9% | 26% | 35% | 22% | 5% |
50 | SHAH Sajan | - | 4% | 18% | 36% | 32% | 10% | |
51 | HUNG Samuel | - | 5% | 21% | 37% | 28% | 8% | |
52 | FANG Eason | 1% | 8% | 26% | 37% | 23% | 5% | |
53 | WONG Caleb W. | 6% | 26% | 37% | 23% | 6% | 1% | |
54 | FELDMAN Drew | - | - | 1% | 7% | 23% | 40% | 29% |
55 | DE SIENA Salvatore | - | 3% | 14% | 31% | 34% | 16% | 2% |
56 | REHM Liam | 1% | 9% | 25% | 34% | 23% | 7% | 1% |
57 | SASSI Ilyas | 1% | 6% | 20% | 32% | 27% | 11% | 2% |
58 | ZHANG Kaixuan | 1% | 7% | 23% | 35% | 26% | 8% | 1% |
59 | TIAGI George | - | 1% | 7% | 23% | 39% | 27% | 3% |
60 | ZHAO Lucas | 1% | 11% | 30% | 35% | 18% | 4% | - |
61 | PRIEUR Christian F. | 3% | 17% | 34% | 31% | 13% | 2% | - |
62 | LIEBOWITZ Carson | 1% | 12% | 36% | 35% | 14% | 2% | - |
63 | MOYD Aaron | - | 5% | 21% | 35% | 28% | 9% | 1% |
64 | DEELY Hartigan | 2% | 12% | 28% | 32% | 20% | 6% | 1% |
65 | LIU Victor | - | 2% | 12% | 32% | 35% | 17% | 3% |
66 | VAID Luke | - | - | - | 1% | 10% | 39% | 50% |
67 | CHAKRAVORTY Sohan | 2% | 13% | 29% | 32% | 18% | 5% | - |
68 | CLARK Gabriel | - | 1% | 5% | 18% | 35% | 32% | 9% |
69 | LICHTERMAN Jakub | 1% | 10% | 27% | 34% | 22% | 6% | 1% |
70 | CHEN Jonathan | - | - | - | 4% | 17% | 41% | 38% |
71 | CHEN Samuel | - | 3% | 15% | 34% | 34% | 13% | |
72 | GONG zihao | - | - | 4% | 19% | 38% | 31% | 9% |
73 | YANG Si He | 4% | 20% | 35% | 28% | 11% | 2% | - |
74 | YOOK Isaac | - | 1% | 6% | 25% | 40% | 24% | 4% |
75 | KITSON Chase | - | 1% | 8% | 24% | 36% | 25% | 6% |
76 | KIM Yusung | 8% | 30% | 37% | 20% | 4% | - | - |
77 | MANESCU Miron | - | 4% | 22% | 40% | 26% | 7% | - |
78 | CLARK Aram | - | - | 2% | 13% | 35% | 38% | 12% |
79 | LUAN Mark | - | 1% | 9% | 29% | 39% | 19% | 3% |
80 | SADHU Neiyam | - | 3% | 14% | 33% | 34% | 14% | 1% |
81 | PARKILA Lukas | - | 3% | 13% | 30% | 34% | 17% | 3% |
81 | SLEP Solomon | 1% | 9% | 25% | 33% | 23% | 8% | 1% |
83 | FRUTH Evan | 1% | 9% | 29% | 39% | 19% | 3% | |
84 | ZHOU William | - | 2% | 13% | 35% | 35% | 14% | 2% |
85 | VUONG Kyle Ka-Him | - | - | 3% | 17% | 40% | 35% | 6% |
86 | BAI Evan | - | 1% | 8% | 29% | 39% | 20% | 3% |
87 | SEN Christian | 1% | 6% | 23% | 35% | 25% | 9% | 1% |
88 | WEISS Toby | 6% | 28% | 39% | 22% | 5% | - | - |
89 | HARDRICK Noah | 1% | 9% | 27% | 36% | 22% | 6% | - |
90 | PARCELL Colby | 16% | 35% | 31% | 14% | 3% | - | - |
91 | SARWAHI Viraat | - | 2% | 12% | 31% | 35% | 17% | 3% |
92 | KIARA Kinoti | 3% | 16% | 32% | 31% | 14% | 3% | - |
93 | LIU Yijin | 1% | 14% | 40% | 32% | 11% | 1% | - |
94 | KALOUDIS Sean | 2% | 17% | 35% | 31% | 13% | 2% | - |
95 | NGO Emerson | 4% | 19% | 35% | 29% | 11% | 2% | - |
96 | HUCHWAJDA Alex | - | 2% | 11% | 29% | 36% | 19% | 3% |
97 | TSAO Oliver | - | 1% | 6% | 20% | 35% | 29% | 10% |
98 | HERR Gabriele | 2% | 11% | 27% | 33% | 21% | 6% | 1% |
99 | LI Coby | 3% | 15% | 31% | 31% | 16% | 4% | - |
100 | JIANG Terence | 3% | 19% | 38% | 29% | 9% | 1% | - |
101 | STRUCKER Rocco | 3% | 20% | 37% | 29% | 10% | 2% | - |
102 | GORDON Samuel | 2% | 16% | 34% | 32% | 14% | 2% | - |
103 | LIU Alexander | 20% | 45% | 28% | 7% | 1% | - | - |
104 | ALAVE Kyle | - | 3% | 16% | 36% | 34% | 10% | |
105 | BROENING-CHAI Jonas | 5% | 23% | 37% | 26% | 8% | 1% | |
106 | BALE ATMAN | - | 2% | 11% | 27% | 36% | 21% | 4% |
107 | COGLIANO Max | 12% | 38% | 33% | 13% | 3% | - | - |
108 | CIEMINS Henry | 1% | 10% | 29% | 35% | 20% | 5% | - |
109 | GOMEZ Emilio | 6% | 26% | 38% | 22% | 6% | 1% | - |
109 | ANTICO Lorenzo Sebastian | 16% | 36% | 31% | 13% | 3% | - | - |
111 | RINALDI Savio | 11% | 32% | 35% | 18% | 4% | - | - |
112 | MARGULIS Jared | 1% | 7% | 22% | 34% | 26% | 9% | 1% |
113 | URSU Marcel T. | - | - | 2% | 10% | 28% | 39% | 22% |
114 | KUSANAGI Soshi | 6% | 26% | 37% | 24% | 7% | 1% | - |
115 | BUCK Maximilian | 11% | 32% | 35% | 17% | 4% | - | - |
116 | LI Huangziyue | 6% | 24% | 35% | 24% | 9% | 2% | - |
117 | BREUER Daniel | 10% | 31% | 36% | 19% | 4% | - | |
118 | BENSON Jacob | 1% | 8% | 26% | 38% | 23% | 4% | |
119 | FENG Brendan | 20% | 41% | 29% | 9% | 1% | - | |
120 | LAMTAN Christoffer | 3% | 16% | 33% | 31% | 14% | 3% | - |
121 | LOO Jason | 3% | 17% | 33% | 30% | 13% | 3% | - |
122 | LIU Aaron | 1% | 10% | 26% | 33% | 22% | 7% | 1% |
123 | CHAWLA Abhishek | 14% | 38% | 33% | 12% | 2% | - | - |
124 | HAUSLER Jayden | 29% | 45% | 22% | 4% | - | - | - |
125 | YASAKCI Burhan | 22% | 40% | 27% | 9% | 1% | - | - |
126 | LIU Ryan | 2% | 14% | 31% | 32% | 16% | 4% | - |
127 | WANG Tim | 27% | 43% | 24% | 6% | 1% | - | - |
128 | BARENBOYM Michael | 24% | 43% | 26% | 7% | 1% | - | |
129 | KIM Samuel | 6% | 23% | 34% | 25% | 10% | 2% | - |
130 | YAO Zachary | 14% | 37% | 34% | 13% | 2% | - | - |
131 | WANG tiger | 4% | 25% | 38% | 25% | 8% | 1% | - |
132 | LIU ERIC | 7% | 27% | 37% | 22% | 6% | 1% | |
133 | YANG Byron | 9% | 31% | 38% | 18% | 4% | - | |
134 | JOSHI Raghav | - | 2% | 15% | 36% | 33% | 12% | 1% |
135 | CRAWFORD William | 12% | 33% | 34% | 17% | 4% | - | - |
136 | ZHAO Royce | - | 2% | 10% | 31% | 39% | 16% | 2% |
137 | FTAIHA Ezra | 16% | 36% | 32% | 14% | 3% | - | - |
138 | JI Johnson | 10% | 29% | 34% | 20% | 6% | 1% | - |
139 | TSAO Alister | 9% | 29% | 36% | 20% | 5% | 1% | - |
140 | LIU Ethan | 26% | 43% | 24% | 6% | 1% | - | |
141 | OREN Daniel | 24% | 41% | 26% | 8% | 1% | - | |
142 | LIU Daniel | 7% | 26% | 35% | 23% | 7% | 1% | - |
143 | FIROOZI Sam | 50% | 38% | 11% | 1% | - | - | - |
144 | GAO Kai | 2% | 15% | 35% | 34% | 12% | 2% | - |
145 | PORTER Dupree | 2% | 13% | 31% | 34% | 17% | 4% | - |
146 | GONG Gavin | 1% | 7% | 22% | 34% | 26% | 9% | 1% |
147 | SUN Andrew | - | 5% | 21% | 36% | 28% | 9% | 1% |
148 | WEST-BEY Ahmad | 8% | 31% | 40% | 17% | 3% | - | - |
149 | WONG Mac | 3% | 19% | 37% | 30% | 10% | 1% | - |
150 | ANSARI Umayr | 15% | 50% | 29% | 6% | 1% | - | - |
151 | CHENG Sawyer | 3% | 16% | 32% | 30% | 15% | 3% | - |
152 | STORER Julian | - | 1% | 9% | 27% | 39% | 23% | 2% |
152 | NADGIR Jaiden | 1% | 9% | 25% | 35% | 23% | 7% | 1% |
154 | HO Alex | 1% | 11% | 29% | 35% | 19% | 5% | - |
155 | VALENCIA Jose | 2% | 15% | 33% | 33% | 15% | 3% | - |
156 | GRABOWSKI Stanley | 22% | 46% | 25% | 6% | 1% | - | - |
157 | YAO Kellon(Yukun) | 40% | 41% | 15% | 3% | - | - | - |
158 | CAREY Sam | 19% | 43% | 30% | 7% | 1% | - | - |
159 | KUO Alden S. | 19% | 37% | 29% | 12% | 2% | - | - |
160 | ROORDA Easton | 68% | 27% | 4% | - | - | - | - |
161 | ZHANG Jason | 46% | 39% | 13% | 2% | - | - | - |
162 | MICHALSKI Brandon | 3% | 33% | 41% | 19% | 4% | - | |
163 | LEE Thomas | 38% | 45% | 15% | 2% | - | - | - |
164 | YUEN Caleb | 8% | 26% | 34% | 22% | 8% | 1% | - |
164 | HAIRABEDIAN Ellis | 33% | 45% | 19% | 3% | - | - | - |
166 | RICHMAN Izak | 21% | 40% | 29% | 9% | 1% | - | - |
167 | VARKI Simon | 54% | 37% | 8% | 1% | - | - | - |
168 | SAYAR Luke | 23% | 40% | 27% | 9% | 1% | - | - |
168 | COBITZ Harrison | 6% | 22% | 35% | 26% | 10% | 2% | - |
170 | CHEN Mannis | 28% | 43% | 24% | 6% | 1% | - | - |
171 | SUAREZ-ARANGO Gabriel | 15% | 37% | 32% | 13% | 3% | - | - |
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.