Capitol Clash SYC/RCC

Y-14 Men's Foil

Sunday, January 15, 2023 at 1:30 PM

Gaylord National Resort and Convention Center - National Harbor, DC, 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 LIN Michael - - - - 1% 12% 88%
2 TRAUGOT Owen G. - - - - 3% 25% 72%
3 LI Matthew - - - 2% 12% 40% 47%
3 TIYA BIAYA K. - - - - 6% 31% 63%
5 TANG Albert - - 1% 6% 22% 41% 30%
6 LING Eddie - - - 2% 12% 39% 47%
7 FUKUDA Diego - - - 3% 16% 40% 40%
8 QIAN Jason H. - - 1% 6% 23% 42% 28%
9 GUO Justin - - - 1% 11% 40% 48%
10 NGUYEN Martin - - - 5% 26% 44% 24%
11 LEE Brendan - - 1% 6% 22% 41% 31%
12 XU Xinhao ( Sonny) - 4% 18% 36% 32% 10%
13 RUIZ ALMEIDA Muhammad - - 4% 21% 45% 29%
14 SHENG Dalton - 1% 5% 23% 44% 27%
15 SENIC Lucas - 6% 25% 44% 25%
16 TANG Alexander L. - - 2% 21% 47% 30%
17 TANG August L. - - - 1% 11% 40% 48%
18 SONG Noel - - - 3% 21% 54% 21%
19 HUANG Eythan - - 3% 24% 47% 25%
20 MAO Lucas 1% 9% 31% 42% 18%
21 LIU Ethan - - - - 5% 37% 58%
22 YAO Bradley - - - 4% 22% 44% 30%
23 SIMONOV Timofey - - 1% 7% 30% 43% 19%
24 JIANG Bowang - 1% 8% 24% 36% 25% 6%
25 MATSAKH Philip - - 3% 16% 36% 34% 10%
26 SUAREZ Adrian - 1% 6% 26% 45% 23%
27 PARRISH Evan 1% 8% 25% 36% 24% 6%
28 GUTH Joseph - 1% 8% 28% 43% 21%
29 LI Bradley - - 4% 17% 36% 34% 9%
30 VADEN Oliver 1% 11% 30% 35% 18% 4% -
31 WANG Brian - 1% 5% 20% 39% 29% 7%
32 ZENG Rick - 2% 13% 32% 37% 15% 1%
33 XU Andy P. - - - 3% 17% 41% 39%
34 GULCHIN Mark (Yerma) - 1% 7% 25% 38% 24% 5%
35 LEE Jonah - - - 2% 13% 40% 45%
36 GERRISH William - - 1% 8% 31% 45% 15%
37 PALMA Nathan Anthony - - 5% 22% 41% 26% 5%
38 SHEVCHENKO Kostiantyn - - 5% 20% 40% 31% 4%
39 SUN Ryan 1% 7% 25% 36% 24% 7% 1%
40 TANG Royce 3% 17% 36% 31% 12% 2% -
41 KAPOOR Aayan - 1% 10% 41% 38% 10%
42 LORENZO Alejandro - 2% 13% 37% 37% 12%
43 CHENG Logan - 2% 11% 27% 35% 21% 4%
44 XU Ethan - 1% 6% 24% 40% 26% 4%
45 CHEN Kyle P. - - 2% 12% 38% 37% 11%
46 GRIFFITH MCALLISTER Thomas - 2% 14% 35% 35% 13% 1%
47 HE Kyle - 5% 18% 32% 30% 13% 2%
48 ALLEN Henry G. - - 2% 13% 34% 37% 13%
49 ZHAO Adam - - 4% 19% 38% 32% 7%
50 DHOKTE Neev 1% 6% 24% 37% 26% 7% -
51 CHUANG Oscar 1% 5% 18% 32% 29% 13% 2%
52 YOON Junhyeok 3% 16% 33% 31% 14% 3% -
53 STRINGER David - 1% 7% 29% 43% 21%
54 TANG Terry 1% 6% 22% 36% 27% 8%
55 FEDELI Francesco - 1% 8% 31% 42% 18%
56 GHEDINI Luca - 3% 16% 32% 32% 15% 2%
57 ARCE Andrew W. 5% 21% 33% 27% 11% 2% -
58 FUKUDA Brando 1% 7% 22% 34% 26% 9% 1%
59 LU Nathan 1% 12% 35% 36% 13% 2% -
60 ELKOUSY Zain al Din 2% 13% 33% 34% 15% 3% -
61 MOTOOKA Eito 2% 13% 32% 34% 16% 3% -
62 SION Andrew 4% 25% 41% 24% 6% 1% -
63 XIE Buster - 3% 14% 32% 34% 15% 2%
64 ARIZA Abraham J. 4% 22% 41% 27% 6%
65 GOODLIN Sean 2% 15% 35% 34% 13% 1% -
65 FENG Michael 5% 24% 37% 25% 7% 1% -
67 CHEN Ethan - 2% 12% 33% 37% 16% 2%
68 DOELL Ethan 1% 7% 22% 33% 26% 9% 1%
69 ZHANG Lucas 2% 15% 36% 34% 12% 1%
70 SURESH Rohan 3% 21% 39% 28% 8% 1%
71 BAI Brian 10% 38% 37% 13% 2% - -
72 BRAIZINHA Thomas - 5% 20% 35% 29% 10% 1%
73 DESERANNO Leander - 1% 7% 26% 39% 23% 4%
74 MO Ethan - 2% 12% 32% 37% 16% 1%
75 CHO Xzander 1% 9% 26% 34% 23% 7% 1%
76 MANDZY Theodor - - 4% 21% 40% 29% 6%
77 TOOMRE Kai - 3% 15% 34% 35% 14% 1%
78 BHAN Amar 6% 27% 39% 22% 5% - -
78 HELMY Richard 14% 35% 33% 14% 3% - -
80 MENDEZ Ren 20% 39% 29% 10% 2% - -
81 LIU ERIC - 3% 16% 36% 33% 12% 1%
82 XIE Jicheng 4% 20% 35% 28% 11% 2% -
83 SHANNON Jack 12% 33% 34% 17% 4% - -
84 BAI Austin 15% 39% 32% 12% 2% - -
85 LI Lianhan 6% 30% 38% 20% 5% -
86 HUA Aaron 5% 26% 42% 22% 5% -
87 XU Nathan 17% 44% 30% 8% 1% -
88 JIN Andy 4% 26% 40% 24% 5% -
89 RIPA Joseph K. 4% 21% 39% 28% 8% 1% -
90 LEE Eugene - 5% 19% 34% 29% 11% 2%
91 GONZALEZ Oliver - 4% 17% 34% 32% 13% 2%
92 ONIK Ari N. 5% 23% 37% 26% 8% 1% -
92 HUANG Chenghan - 3% 16% 32% 32% 15% 2%
94 SUAREZ David 1% 9% 25% 33% 22% 7% 1%
95 FOGELSON Hugh 4% 19% 33% 29% 13% 3% -
96 LU Alex - 4% 17% 32% 31% 13% 2%
97 ZHANG Alex 3% 15% 32% 31% 15% 3% -
98 BLAM Aaron 2% 28% 42% 22% 5% - -
99 HOLLIS Sean 4% 19% 37% 30% 9% 1% -
100 YANG Cooper 5% 24% 37% 25% 8% 1% -
101 QIAN Henry 7% 40% 38% 13% 2% - -
102 LEE Charles T 1% 10% 27% 33% 21% 7% 1%
103 TAM Kyle 19% 41% 30% 9% 1% - -
104 FINDLAY Zachary - 3% 15% 35% 34% 12% 1%
105 KAPLAN Abe 2% 13% 33% 34% 16% 3% -
106 WONG Jacob W. 1% 10% 34% 38% 15% 2% -
107 REN Ryan 27% 44% 24% 5% -
108 ZAIDI Adil 38% 44% 16% 2% - -
109 MASSIMINO Andrew 3% 21% 39% 29% 8% 1%
110 GRIEB Oliver 3% 23% 51% 20% 3% -
111 BOESKIN Nolan 2% 17% 37% 32% 11% 1%
112 SHAW Spencer 44% 41% 13% 2% - -
112 SUNDSTROM Wren 33% 51% 15% 1% - -
114 COSSROW Alex 41% 47% 12% 1% - -
115 YU William - 5% 21% 39% 30% 5% -
116 HOU Gaven 7% 25% 34% 23% 8% 1% -
117 MARTIRE Luca 20% 44% 28% 7% 1% - -
117 XU Ethan 2% 12% 29% 33% 19% 5% -
119 FRASER Rhys 35% 41% 19% 4% 1% - -
120 ZHENG Marcus 3% 14% 31% 32% 16% 4% -
121 SANTOS Greyson 11% 32% 35% 17% 4% - -
122 JURMAN Therin 3% 19% 36% 29% 11% 2% -
123 WANG Luke 24% 42% 26% 7% 1% - -
124 CHEN kenneth 49% 39% 11% 1% - -
125 VO Aidan 37% 42% 18% 3% - - -
125 SUN Andy 27% 43% 24% 6% 1% - -
127 JIANG Bohan 9% 31% 37% 19% 4% - -
128 TSENG Lucas 47% 40% 11% 1% - - -
129 TUCKER Nechiga 6% 27% 38% 22% 6% 1%
130 FRIEDMAN Marcus 5% 24% 38% 25% 7% 1%
131 ZAPPALA Nikolai 3% 20% 39% 28% 8% 1% -
132 ADAN Jacobo 2% 17% 37% 31% 11% 1% -
133 ZHOU Alex 23% 39% 27% 9% 2% - -
134 ZMUDA Aiden 20% 41% 29% 9% 1% - -
135 KRZYWON Dylan 63% 31% 6% - - - -
136 AGUILAR Eric 17% 38% 32% 12% 2% - -
137 KO Caleb 20% 39% 29% 10% 2% - -
138 BOWLES Kevin 17% 37% 31% 12% 2% - -
139 SONG Yuxuan Austin 30% 44% 21% 4% - - -
140 XU Joseph 2% 21% 44% 27% 5% - -
141 HONG Logan 19% 43% 29% 8% 1%
142 CHOI Jackson 46% 42% 11% 1% - - -
143 CHANG Ian 8% 31% 38% 18% 4% -
144 FANG Haoyu 5% 23% 37% 26% 7% 1% -
144 NOSIK Gabriel 3% 21% 43% 27% 6% - -
146 ZUCKER Joshua L. 9% 33% 38% 16% 3% - -
147 CHEN Hendrick 22% 42% 27% 8% 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.