Capitol Clash SYC/RCC & Y8

Y-12 Men's Foil

Sunday, January 18, 2026 at 8:00 AM

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 LIM EUNSEONG - - - - 5% 30% 65%
2 LIU Alex - - - - 2% 19% 80%
3 WANG Mendy - - - 1% 6% 33% 61%
3 ZHUANG Disheng (Eddie) - - 1% 8% 37% 54%
5 CHANG Parker - - - - 4% 27% 69%
6 PAN Howard Haoran - - 4% 15% 31% 35% 15%
6 FAN Ze Lin - - - 3% 30% 67%
8 PARK Gi Beom - - - - 2% 21% 76%
9 HUYNH Matthew - - - - 3% 25% 72%
10 WU Wallace - - - 3% 16% 41% 40%
11 GUGALA Frank - - 2% 11% 32% 41% 15%
12 HUANG Dalynn - - 1% 7% 26% 42% 23%
13 HU Michael - - 5% 27% 45% 23%
14 QIAN Will - - 1% 6% 26% 44% 23%
15 ZHONG Kingsley - 1% 7% 24% 40% 25% 3%
16 DANTON Ryan - - 1% 5% 23% 45% 27%
17 TAO Jiemi - - - 4% 18% 42% 36%
18 KIAYIAS Anthony - 2% 11% 30% 37% 17% 2%
18 ZHENG Lerui - - - 1% 12% 41% 46%
20 CHEN Steven - - 1% 9% 31% 44% 15%
21 SLAIN Owen - - 1% 7% 25% 42% 25%
22 LIN George - 5% 22% 38% 27% 7% 1%
23 LEE Ryan - 3% 14% 31% 35% 16% 1%
24 CHEN Ethan - 3% 13% 31% 34% 16% 3%
25 LYU Brandon - - - 2% 15% 42% 41%
26 YOON Mason - 2% 12% 29% 35% 18% 3%
27 CHEN Kyler - 1% 9% 27% 39% 23% 2%
28 SONG Enoch - - 1% 6% 23% 42% 28%
29 QU Richard - - - 1% 8% 36% 55%
30 CHEN Keegan - 5% 25% 43% 23% 3%
31 ALVAREZ Francisco Janusz - - 6% 30% 51% 13%
32 HEBERT SEBASTIEN - 2% 11% 29% 37% 18% 3%
33 YANG Steve - - 4% 23% 46% 27%
34 YANG Luca 1% 7% 26% 40% 23% 4%
35 XIE Jayden - 2% 13% 32% 37% 16%
36 SHOU Raymond - - 1% 12% 40% 47%
37 SHARMA Ari 3% 15% 32% 31% 15% 3% -
38 PARK Joshua - - 3% 17% 38% 34% 7%
39 LIN Lucas - - 4% 17% 36% 33% 9%
40 TAN Alan - 1% 11% 37% 41% 10%
41 ZHANG Eric - 1% 5% 19% 36% 30% 9%
42 MORALES Tycho - 2% 13% 31% 36% 16% 1%
42 CAO Joshua - - 1% 9% 29% 41% 19%
44 WANG Jaaziel 1% 8% 24% 34% 24% 8% 1%
45 XU Jason - 3% 14% 31% 34% 16% 2%
46 SUN Lucas - 4% 15% 30% 31% 16% 3%
47 LI Andrew - 1% 9% 28% 38% 21% 3%
48 JIN George - - - 2% 15% 42% 40%
49 MCCOOL Henry - 1% 9% 28% 39% 21% 2%
50 XU ETHAN 1% 10% 28% 35% 20% 5% -
51 ZHANG Aaron - 1% 5% 19% 38% 33% 6%
52 SHEN Lucas - 2% 15% 36% 34% 12% 1%
53 ZHAO David 1% 9% 29% 36% 21% 4%
54 HUYNH Kaleb - 3% 18% 38% 33% 8%
55 XIA Vincent 1% 14% 34% 33% 15% 2%
56 CAO Aaron - - 3% 16% 37% 35% 9%
57 HUA Isaac - 4% 21% 39% 28% 8% 1%
58 YU Ethan 1% 9% 27% 35% 21% 5% -
59 MOORE Quinn 6% 24% 34% 25% 10% 2% -
60 WU Max - 5% 25% 39% 24% 6% -
60 HUANG Lucas 1% 5% 18% 31% 29% 13% 2%
62 BUCHNER Roland 5% 23% 35% 26% 9% 1% -
63 WILLIAMS Thomas 8% 29% 36% 21% 5% 1% -
64 XU Daniel 1% 11% 29% 34% 19% 5% -
65 TEOH Liam - 4% 16% 34% 33% 12% 1%
66 MENG Andy 1% 11% 32% 35% 17% 4% -
67 WU Yulen - 2% 14% 37% 35% 11% 1%
68 GU Evan - 4% 19% 37% 30% 8% 1%
69 SINGH Jai Anand 1% 10% 28% 36% 21% 5% -
69 ROSOWSKY Phoenix 1% 7% 24% 36% 25% 7% -
71 LU Ethan - 6% 32% 45% 15% 1%
72 LI Mason 2% 13% 31% 34% 17% 3% -
73 LIN Dylan 1% 9% 27% 36% 21% 5% -
74 JIAO Daniel - - 3% 20% 42% 31% 4%
75 QIAN Henry - 4% 19% 36% 30% 9%
76 WILSON Jacob - 1% 24% 44% 26% 5%
77 CHONG Cooper 7% 30% 39% 20% 4% -
78 LIU Bradley - 1% 7% 29% 41% 20% 2%
79 CHUNG Royce 3% 17% 34% 30% 13% 2% -
80 XIA Wenhao 1% 10% 28% 35% 21% 5% -
81 CHEN Andrew 4% 27% 43% 22% 4% -
82 PATEL Niam 2% 15% 32% 32% 15% 3% -
83 LEE Ryan 4% 21% 36% 28% 9% 1% -
84 MOSAMEH Faraj 3% 16% 34% 31% 13% 2% -
85 TARDIFF Owen - 4% 19% 36% 29% 10% 1%
85 HAN Jayden 2% 16% 38% 31% 11% 2% -
85 MATIYASH Andrew 16% 41% 33% 9% 1% - -
88 STARK Ethan - 4% 16% 34% 33% 12% 1%
89 FANG Lionel 1% 11% 30% 36% 18% 4% -
90 WU Connor 13% 34% 34% 16% 4% - -
91 AMR HOSSNY Adam - 3% 31% 44% 20% 3%
92 CASCONE Raffaele 1% 15% 34% 33% 14% 2%
93 YU Oliver - 3% 16% 34% 33% 13% 2%
94 GOLDSTEIN Tate 7% 36% 40% 15% 2% -
96 XU Jonathan 1% 12% 45% 35% 7% -
97 ALANAZI Saif 1% 7% 21% 32% 27% 11% 2%
97 GENG Vincent 6% 24% 36% 25% 8% 1% -
99 CHANG Joshua 12% 33% 34% 16% 4% - -
99 LIU Max 6% 28% 38% 22% 5% 1% -
101 MONTGOMERY Henry 56% 38% 5% - - -
102 LIN Alexander 5% 22% 37% 27% 8% 1% -
103 JAGANNATHAN Avi 6% 24% 36% 25% 8% 1% -
104 LIU Mason 1% 9% 26% 35% 22% 6% 1%
104 MOON Nolan - 3% 15% 33% 34% 14% 1%
106 HO Kasper 1% 8% 25% 36% 24% 7% -
107 JAZWINSKI Archer 23% 43% 26% 7% 1% - -
108 CHANG Owen 13% 32% 32% 17% 5% 1% -
109 MAN Dylan 4% 21% 36% 27% 10% 2% -
110 GUTKOVSKIY Ryan 8% 28% 36% 21% 6% 1% -
111 WILSON Henry 8% 31% 38% 19% 4% - -
112 KUTATELADZE Danieli 7% 30% 39% 19% 4% -
113 ENOIU Ethan 43% 51% 5% - - -
114 DING Jacob 9% 30% 36% 19% 5% 1% -
115 LU Ethan - 4% 20% 38% 29% 8% 1%
116 MADDES Gage 2% 12% 28% 32% 19% 6% 1%
117 KIM JOSHUA 9% 34% 39% 15% 2% - -
118 AN Jacob 25% 44% 24% 6% 1% - -
119 KIM ISAAC 7% 27% 36% 22% 6% 1% -
120 PECK Henrik 15% 51% 28% 6% 1% - -
120 MACK Julian 16% 37% 32% 12% 2% - -
122 YUAN Vincent 20% 44% 27% 7% 1% - -
123 REN Jonathan 2% 11% 28% 34% 19% 5% -
124 CAI Mark 9% 38% 37% 14% 2% - -
125 MARVEL Elliot 27% 42% 24% 7% 1% - -
126 RICHMAN Aaron 37% 41% 18% 4% - - -
126 AN Graham 13% 34% 34% 16% 3% - -
128 BROD Baylin 62% 32% 6% 1% - -
129 CHOE Austin 24% 40% 26% 8% 1% - -
130 GREENWALD Silas 2% 14% 32% 33% 16% 3% -
131 CAI Charlie 10% 33% 35% 17% 4% - -
132 ABAYA Jacob 12% 33% 34% 17% 4% - -
133 KLINE Benjamin 10% 32% 36% 18% 4% - -
134 NETESA Lukian 59% 35% 6% - - - -
136 CHEN Aidan 34% 43% 19% 4% - - -
137 NIE Grant 19% 38% 30% 11% 2% - -
138 KOSCIK-AQUINO Nicholas 4% 21% 36% 27% 10% 1% -
139 AWALGAONKAR Aahan 33% 44% 19% 3% - - -
140 LUND Jonah 21% 52% 23% 3% - -
140 OBRIEN Seamus 23% 40% 27% 9% 1% - -
142 FAN Oscar 12% 33% 35% 17% 4% - -
143 LEE Thomas 36% 43% 18% 3% - -
143 CHAN Theo 47% 48% 4% - - -
145 CREANGA Matthew 31% 45% 21% 3% - - -
146 MENESES-VAUGHN Lucas 1% 10% 31% 36% 18% 3% -
146 YEUNG Asher Pak Yu < 1% 1% 5% 20% 37% 30% 7%
146 LEE Andrew 41% 40% 16% 3% - - -
149 HWANG Samuel 59% 34% 6% - - -
149 JI Eli 54% 37% 8% 1% - - -
151 ROSENBAUM Ethan 1% 8% 27% 38% 21% 4% -

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.