Capitol Clash SYC/RCC & Y8

Y-14 Men's Saber

Saturday, January 17, 2026 at 12:30 PM

Gaylord National Resort and Convention Center - National Harbor, MD, USA

Probability density of pool victories

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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 ZHAO Royce - - - - 3% 24% 72%
2 KHANNA Adamantis - - - - 1% 14% 85%
3 URSU Marcel T. - - - - 4% 26% 70%
3 LIN Brendan - - 1% 6% 24% 43% 27%
5 CHANG Ethan - - 1% 5% 21% 42% 31%
6 HENRY Cadel - - 1% 7% 24% 42% 26%
7 SRIVATS Vedh - - - 1% 8% 38% 53%
8 SIDDAMSHETTY Ishaan - - 1% 8% 27% 41% 22%
9 WONG Hawken - - 1% 7% 34% 58%
10 ISAYENKO Daniel - - - 2% 14% 41% 43%
11 DAI Zihou - - 1% 7% 26% 43% 23%
12 PERRIN Leo - - 1% 9% 29% 41% 19%
13 ORIE Sohan - 2% 12% 30% 35% 18% 3%
13 WONG Reagan - - 2% 11% 31% 39% 17%
15 ZHANG Aiden - 1% 8% 26% 37% 24% 5%
16 LIN Alex - 2% 16% 38% 34% 10%
17 LIU Jayden - 2% 11% 26% 33% 21% 5%
18 KOREN George - - 1% 8% 32% 46% 14%
19 YU Jayden - - - 4% 20% 42% 34%
20 SONG Aidan - - - 5% 23% 44% 28%
21 SO Morgan - 1% 8% 27% 40% 24%
21 KOZLOV Lucas - - - 3% 15% 40% 43%
23 LIAO Sirui - 1% 7% 23% 39% 27% 3%
24 CAO HAOTIAN - 2% 12% 27% 34% 20% 5%
25 BRADY Jack - 3% 16% 33% 32% 13% 2%
26 SUH Leo - - - 5% 22% 44% 29%
27 LAU Kyrus - - 4% 19% 39% 32% 6%
28 ROH Jaden - - 2% 12% 31% 37% 17%
29 VISH Manyu - 3% 13% 31% 35% 17% 1%
30 BOSITA Brennan - - 1% 6% 24% 43% 26%
31 CHEN Jack - - 2% 8% 25% 40% 25%
32 KANIA Alexander - - 2% 10% 28% 39% 22%
33 HENDERSON Louis - - 1% 9% 35% 41% 14%
33 WANG Theodore - - 3% 15% 34% 34% 13%
35 YI Andrew - 1% 6% 24% 42% 27%
36 JOHNSON Leland - - 6% 26% 43% 24%
37 SLAVNOV Anton - - 1% 5% 21% 41% 32%
38 SMITH Etienne 1% 6% 21% 33% 27% 11% 2%
39 NAFTALI Ori - - 4% 19% 39% 30% 7%
40 SOKOLOV Lucas 1% 11% 31% 38% 17% 2%
41 BROOKS Theo - 1% 9% 28% 37% 20% 4%
42 ZHANG Caleb 6% 27% 38% 22% 6% -
43 LEVY Daniel - - 4% 14% 31% 35% 16%
44 LIANG Morgan - - 5% 21% 38% 29% 7%
45 KAUL Ishaan - 4% 19% 37% 31% 8%
46 WANG Ziyao 1% 10% 28% 34% 21% 6% 1%
47 BUKZIN Alan - - 3% 14% 33% 36% 14%
48 SHAPIRO Leo - 1% 5% 18% 33% 32% 12%
49 BRISENO Ethan 1% 6% 19% 33% 28% 12% 2%
49 BENNETT Lachlan - 1% 9% 28% 38% 20% 4%
49 HE Zhikai (kyle) - 1% 5% 19% 37% 31% 7%
52 DUFF Michael 1% 8% 24% 35% 24% 7% 1%
53 CHEN Felix - 2% 11% 28% 35% 20% 3%
54 ROBINSON Ezra - 2% 11% 28% 34% 20% 5%
55 LIM JUWANA Maximilian - - 3% 12% 30% 37% 19%
56 ARTETA-CHEVALIER Ulysse - 2% 13% 31% 34% 16% 3%
57 HAHN EVER - 5% 20% 38% 30% 8%
57 YEAZEL Colin - 2% 14% 36% 34% 13% 2%
59 KAMURA Kosei - 4% 17% 32% 30% 14% 3%
59 LI Lucas - 4% 18% 35% 30% 12% 2%
61 CHEN Brian 3% 16% 31% 30% 15% 4% -
62 MALEK Zak 2% 12% 30% 34% 18% 4% -
63 WU Vincent - 6% 29% 40% 21% 4%
64 HE Nolan 1% 11% 32% 36% 16% 3% -
65 STOLCKE Julian - 3% 13% 29% 34% 18% 4%
66 D'AMELJ Edoardo - - 2% 12% 33% 38% 14%
67 LYU Tyler - 2% 12% 28% 34% 20% 4%
68 PARK Sean 1% 7% 22% 34% 26% 10% 1%
69 ZALETAEV Jacob - 1% 5% 18% 33% 31% 12%
70 ARCHIBALD Zachary - - 1% 11% 37% 39% 12%
71 BEAL Colton - - 2% 11% 33% 39% 15%
72 WAXLER Alex - 3% 15% 30% 32% 16% 3%
73 YU Ronen 5% 23% 35% 26% 9% 1% -
74 KOREN David - 6% 23% 36% 26% 8% 1%
75 ZHANG Simon - 2% 15% 38% 35% 11%
76 WANG Edward - - - 3% 19% 45% 33%
77 NARAYAN Rishi - 4% 16% 33% 32% 13% 2%
78 PIPKE Garrett 2% 12% 31% 34% 18% 3%
79 ALUF Brendon - 6% 21% 34% 27% 11% 2%
80 ROMBERG Sam - 2% 13% 32% 35% 16% 2%
81 HU Harry - - 3% 16% 37% 34% 10%
81 SOCHNIKOV Jacob 10% 32% 34% 18% 5% 1% -
83 HUA George (Hanxun) - 4% 15% 31% 32% 16% 3%
84 LIU Jeremy - 4% 16% 33% 32% 13% 1%
85 ATA Kevin 1% 6% 24% 36% 25% 8% 1%
86 THOMAS Tre 1% 7% 22% 33% 25% 10% 1%
87 LIU Nico 1% 11% 29% 35% 19% 4% -
88 WU Lucas 1% 8% 25% 36% 24% 6%
89 SPENCER-EL Elijah 2% 15% 33% 32% 15% 3% -
90 FOUX Jonathan 4% 20% 35% 28% 11% 2% -
91 TAKEBE Ren 1% 9% 26% 34% 22% 7% 1%
92 EDWARDS Farren - 2% 11% 27% 35% 20% 4%
93 RABEL Sebastian 8% 27% 35% 22% 7% 1% -
94 LAN Jasper 2% 17% 37% 31% 11% 2% -
94 VINCENT Yijia 31% 42% 21% 5% 1% - -
96 SONG Ryan 5% 21% 36% 27% 10% 1%
97 WANG ARAN - 1% 8% 30% 42% 17% 2%
98 RAMONDINI Levi 1% 8% 22% 32% 25% 10% 2%
99 LEISTNER Armin 11% 42% 34% 11% 2% - -
100 LEIGH Brayden 6% 22% 33% 26% 11% 2% -
101 WOLLOW Bennett 10% 32% 35% 18% 4% 1% -
102 LI Kent 9% 29% 36% 21% 6% 1% -
103 LEE Brendan 2% 12% 28% 32% 20% 6% 1%
104 SCHWARTZMAN Jakub 2% 11% 27% 33% 21% 6% 1%
105 BROOKS Isaac 1% 10% 26% 33% 21% 7% 1%
106 SUN Leonard 1% 7% 22% 35% 27% 8% -
107 ODIOEMENE Tonna 3% 17% 33% 31% 14% 2% -
108 KONG Ethan 4% 22% 39% 27% 7% 1% -
109 LEE Aiden 2% 11% 28% 33% 20% 6% 1%
110 CHAVAN Aditya - 5% 20% 35% 28% 10% 1%
111 LEE Shane Gunn 1% 11% 29% 34% 20% 5% -
112 LUO Gavin 1% 9% 27% 35% 22% 6% -
113 SUN Stephen 1% 10% 27% 35% 21% 5% 1%
114 ZHANG Howard 1% 10% 32% 36% 17% 4% -
114 CHEN Ryan 2% 10% 27% 33% 21% 6% 1%
116 WANG Mason 1% 7% 24% 36% 24% 7% 1%
117 CIECIEREGA MATTHEW 1% 7% 22% 33% 26% 10% 2%
118 BABY Henry 4% 21% 36% 28% 10% 1%
119 ZHANG Mark 9% 29% 35% 20% 6% 1% -
120 BALBALE Zayd 4% 18% 34% 30% 12% 2% -
121 BLAIR Campbell - 2% 13% 31% 34% 17% 3%
122 KUANG Cyrus 1% 9% 25% 33% 23% 8% 1%
123 HONG Isaac 18% 37% 30% 12% 3% - -
124 ARRANT Mason - 3% 15% 32% 33% 15% 2%
125 LI Anton 8% 28% 35% 21% 7% 1% -
126 ZHAO Alexander 2% 13% 31% 34% 17% 4% -
127 URQUILLA Devin 10% 30% 35% 19% 5% 1% -
128 GAW Zachary 20% 39% 29% 10% 2% - -
129 GUERRA Corey 1% 7% 24% 36% 24% 7% 1%
130 HU Simon - - 4% 18% 37% 32% 9%
131 JAVIER Xavier 1% 7% 23% 34% 25% 9% 1%
132 DARLING Andrew 2% 13% 29% 32% 19% 5% 1%
133 PETROSYAN Aleksander 6% 27% 39% 23% 4% - -
134 YANG Justin - 3% 13% 29% 33% 19% 4%
135 XIONG Robert 16% 36% 31% 13% 3% - -
136 PERKINS, JR LeVar - 4% 23% 42% 25% 5% -
137 CONNOLLY Edward Bud 5% 23% 39% 26% 7% -
138 TO Aiden - 5% 18% 34% 30% 11% 1%
139 BURCH III Andrew J. 1% 7% 24% 36% 25% 7% -
140 FAVO Christopher - 5% 22% 39% 29% 5%
141 KOHLER Vaughn 5% 19% 32% 28% 13% 3% -
142 PARK Layne 1% 10% 26% 34% 22% 6% 1%
143 BIVIJI Adam - 2% 13% 33% 35% 15% 2%
145 LAI Mars 2% 12% 27% 32% 20% 6% 1%
146 FU BRANDEN - 2% 11% 27% 34% 20% 4%
147 MIKHAILOV Andrei - 6% 22% 34% 27% 10% 2%
149 KIM Derek 2% 18% 43% 29% 7% 1% -
150 NORTON Hudson 35% 41% 19% 4% 1% - -
151 TANJGA Luka 9% 30% 36% 19% 5% 1% -
152 ZHERENOVSKY Alan 16% 35% 31% 14% 3% - -
153 RABEL Alexander 3% 17% 33% 30% 13% 3% -
154 GU Dean 3% 16% 34% 32% 13% 2% -
154 DAI Ethan 6% 27% 39% 23% 6% 1% -
154 SEDAKA Dylan 19% 39% 30% 11% 2% - -
157 ZHANG Edison Ji - 1% 5% 19% 35% 31% 10%
158 LI Felix 39% 42% 16% 3% - - -
159 LENDVAI Lorand 3% 24% 39% 25% 7% 1% -
160 TAYLOR Wyatt 15% 39% 33% 11% 2% - -
161 SHEYNZON David 19% 40% 30% 9% 1% -
162 ALLEN Paxton 25% 41% 25% 8% 1% - -
163 ZHANG Weihang 2% 11% 29% 34% 20% 5% -
164 SHEK-WEI Wesley 20% 41% 29% 9% 1% - -
165 ANDRADE Ian 12% 35% 35% 15% 3% - -
166 KO-GALLOWAY Keaton 3% 22% 38% 27% 9% 1% -
167 ALLEN Parker 19% 40% 30% 10% 2% - -
168 LI Derek 4% 21% 36% 27% 10% 1% -
169 LEE Jeffrey 15% 55% 26% 5% - -
170 YANG LOUIS 1% 10% 26% 33% 22% 7% 1%
172 JI Derek 2% 15% 35% 33% 12% 2% -
173 RISMAN Edward 11% 35% 36% 15% 3% -
174 OH Caleb 22% 40% 28% 9% 1% -
175 GAW Christian 27% 41% 24% 7% 1% - -
176 TUMBAPURA Arjun 10% 30% 35% 19% 5% 1% -
177 IVERSON Niels 12% 34% 34% 16% 4% - -
177 DY Azriel 29% 46% 20% 4% - - -
177 BERGAN Chase 9% 28% 34% 21% 7% 1% -
180 BROWN Nash 50% 40% 9% 1% - - -
181 GUCCIARDI Francesco - < 1% 3% 14% 30% 35% 17%
182 YANG Aegon 4% 19% 34% 29% 12% 2% -
182 GHIM Ethan 5% 24% 39% 25% 7% 1% -
184 SABINO Bennett 25% 42% 25% 7% 1% -
185 NEPPALLI Dhruv 11% 32% 35% 18% 4% - -
185 TUNA Abdullatif 26% 43% 24% 6% 1% - -
187 YANG Ted 24% 43% 25% 7% 1% - -
188 KRISHNAN Arjun 16% 46% 30% 7% 1% - -
189 MARFATIA Ariv 15% 38% 34% 12% 1% - -
190 ODIOEMENE Naeto 7% 28% 37% 22% 6% 1% -
191 CADET Sebastian 57% 35% 7% 1% - - -
192 LLOYD Max 5% 19% 32% 28% 13% 3% -
193 GUO Joe 17% 40% 31% 10% 1% -
194 LIU Dylan 23% 40% 27% 9% 2% - -
195 GAO Francis 4% 19% 35% 29% 11% 2% -
196 UCHIYAMA Lucas 67% 30% 3% - - -
197 RAJMOHAN Syon 22% 44% 28% 6% 1% - -
197 LEE Davis 67% 28% 5% - - - -
197 TOURÉ-DEMARCO Toussaint 65% 30% 5% - - - -
197 LOU Ethan 36% 41% 18% 4% 1% - -
201 LEE SungYup 18% 41% 31% 9% 1% - -
202 SIREN Isaac 53% 36% 9% 1% - - -

Explanation

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.