Capitol Clash SYC/RCC

Cadet Men's Saber

Sunday, January 15, 2023 at 2:00 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 BYON Adrian - - 1% 6% 23% 43% 27%
2 BROU Inkosi 1% 7% 23% 36% 26% 7%
3 HUANG Alex F. - - - 1% 10% 39% 50%
3 POSY Daniel - 1% 7% 23% 37% 26% 7%
5 WAXLER Seth B. - - 6% 24% 43% 26%
6 SAHAY Kenji - 1% 5% 19% 35% 31% 10%
7 HU Christopher - - 1% 7% 23% 40% 28%
8 MEHAN Nicholas - - - 4% 19% 42% 34%
9 NOURELDIN Gabriel - - - 3% 17% 46% 34%
10 GONG Jerry - - 1% 7% 24% 41% 27%
11 KIM Ethan - - 2% 13% 34% 37% 14%
12 SU Landon - - 2% 9% 26% 40% 23%
13 BYON Julian - 1% 5% 20% 36% 30% 9%
14 ANAND Rohan - 3% 16% 37% 34% 10%
15 DOWNEY Baran - 1% 6% 20% 36% 30% 8%
16 DALAL Rohan 1% 6% 20% 33% 28% 11% 2%
17 WANG Justin - - 2% 12% 35% 40% 11%
18 GLOZMAN Justin - - - 4% 19% 42% 34%
19 ATWOOD Griffin - 4% 17% 34% 31% 13% 2%
20 ETIN Ari - - 2% 11% 30% 38% 18%
21 TSAO Oliver - 4% 19% 34% 29% 12% 2%
22 WU Richard - 1% 8% 23% 35% 25% 7%
23 GUAN Dennis - 1% 7% 23% 35% 26% 7%
24 CHON Collin - 4% 19% 36% 29% 10% 1%
25 WECHSLER Jacob - - 2% 14% 34% 36% 14%
26 HUANG Alexander C. - - 4% 18% 37% 32% 9%
27 VAUGHN Jason - 2% 10% 25% 35% 23% 5%
28 LUCAS Hayden - 2% 12% 30% 34% 18% 3%
29 TIAGI Daniel 2% 12% 29% 33% 19% 5% 1%
30 SUGIURA Samuel - - 3% 14% 32% 36% 15%
31 HALL Noah 1% 10% 29% 35% 20% 5% 1%
32 FRANCOIS Alexander C. 1% 11% 29% 35% 20% 4%
33 THORNHILL Kwasi - - 1% 8% 24% 40% 27%
34 HOPPA Luke H. - - 1% 8% 25% 41% 25%
35 FIELDS Matthew S. - - 1% 8% 35% 42% 14%
35 ANTHONY Devyn V. - - - 4% 19% 42% 35%
37 ALAVE Kyle - 2% 11% 29% 36% 19% 4%
38 NGO Maximus 1% 10% 29% 35% 20% 5% 1%
39 LIU Kevin - 4% 20% 39% 29% 7%
40 CHEN Jonathan - 3% 12% 28% 34% 19% 4%
41 KATZ Ryan - - 2% 11% 31% 40% 17%
42 BUKOWSKI Broghan J. - 1% 6% 21% 36% 28% 8%
42 VAID Luke - 1% 4% 16% 33% 33% 13%
44 SHAH Sajan - 2% 11% 32% 37% 16% 2%
45 CHEN Samuel 1% 7% 24% 35% 25% 8% 1%
46 MEYERSON Jacob 2% 15% 37% 33% 12% 1%
47 GONG zihao 9% 29% 36% 20% 5% 1% -
48 CHUNG Connor - 1% 8% 26% 37% 23% 5%
49 BELL III Alfred (Tripp) R. 3% 15% 31% 32% 16% 3%
50 WANG Weiyun - - 3% 14% 33% 36% 14%
51 KIM ELIJAH - - 3% 15% 33% 35% 14%
52 GERSTMANN Max T. - 5% 17% 32% 30% 13% 2%
53 PINTO Marcus 1% 8% 23% 33% 25% 9% 1%
54 LI Maxwell 3% 14% 31% 32% 17% 3%
55 VUONG Kyle Ka-Him 3% 16% 31% 31% 15% 4% -
56 ZHAO Lucas - 2% 11% 27% 34% 21% 5%
57 WANG Max 5% 20% 34% 28% 11% 2% -
59 BONETTI Brayden 4% 19% 35% 29% 11% 2%
60 SAGE Sebastian - 4% 14% 30% 32% 17% 3%
61 WONG Caleb W. 15% 35% 32% 14% 3% - -
62 ZHAO ERIC 4% 25% 39% 25% 7% 1% -
63 SHANKAR Karthik - 3% 15% 33% 32% 15% 2%
64 SO Preston 1% 9% 25% 34% 23% 7% 1%
65 ZHOU James Y. - 2% 12% 28% 33% 20% 5%
66 FELDMAN Drew - - 1% 8% 31% 42% 18%
67 GINSBERG Jordan - - 2% 10% 29% 40% 19%
68 WANG Daniel - - 1% 8% 26% 40% 24%
70 DECK Tyson - 4% 15% 30% 32% 16% 3%
71 MEHTA Krish - - 3% 14% 33% 36% 14%
71 HE Bowen 3% 14% 30% 31% 17% 5% -
73 BERA Enzo - - - 4% 21% 47% 28%
74 GONG ziqian 8% 26% 34% 23% 8% 1% -
75 KERCHER Alexander 1% 8% 25% 35% 23% 7% 1%
76 YAN Kevin - 1% 8% 23% 35% 26% 7%
77 TIAGI George 5% 22% 35% 26% 10% 2% -
78 PATEL Rayn - - 3% 17% 36% 33% 11%
79 LI AYDEN - 3% 15% 33% 33% 14% 2%
80 HOTHA Nikhil - 2% 12% 31% 35% 17% 3%
81 OH Aster 1% 7% 22% 34% 26% 10% 1%
82 WALKE Devin - 3% 17% 37% 33% 10% 1%
83 KUMAR Arjun 4% 23% 41% 25% 7% 1% -
84 LIN Felix 2% 19% 37% 29% 11% 2% -
85 REHM Liam 3% 22% 40% 27% 7% 1% -
86 WANG Michael 11% 37% 34% 14% 3% - -
87 SARWAHI Viraat 5% 23% 36% 26% 9% 1% -
88 ZHAO Andy 3% 17% 34% 30% 13% 2% -
89 WEINSTEIN Nate 5% 21% 34% 27% 11% 2% -
90 FISHER Paul C. 42% 42% 14% 2% - - -
91 HUNG Samuel 1% 8% 25% 35% 23% 7% 1%
92 LIU Victor - 3% 14% 30% 33% 17% 3%
93 WAXLER Ryan 2% 15% 32% 32% 15% 3% -
94 MATTINGLY Ian 34% 44% 19% 4% - - -
95 LEE Andrew 1% 8% 23% 33% 25% 9% 1%
96 BADUSHOV Anton 4% 17% 32% 30% 14% 3% -
97 RAJMOHAN Arya 1% 7% 26% 38% 23% 5% -
98 SHANKWILER Christopher - 2% 13% 34% 34% 14% 2%
99 BREUER Daniel 19% 37% 30% 12% 2% - -
100 LIN Philip T. 1% 9% 26% 35% 22% 6% 1%
101 LASKOW Oliver 2% 17% 38% 32% 11% 1% -
101 DEELY Hartigan 9% 28% 34% 21% 7% 1% -
103 LICHTERMAN Jakub 5% 23% 35% 25% 9% 2% -
104 SUN Bill 5% 26% 39% 23% 6% 1% -
105 YAN William - 2% 14% 32% 34% 15% 2%
106 BEEBY PIERRE Wyatt 20% 43% 28% 7% 1% - -
107 TSAO Alister 18% 44% 29% 7% 1% - -
108 DRUZHININ Michael 12% 33% 33% 17% 4% 1% -
109 FENG Weiting (Ryan) 14% 37% 33% 13% 3% - -
110 JENSBY Jason - 3% 15% 31% 32% 16% 3%
110 SOKOLOV Arseniy 14% 42% 32% 10% 1% - -
112 AO Christopher 4% 18% 33% 29% 13% 3% -
113 DESAUTELS Connor 11% 31% 34% 18% 5% 1% -
114 GUREVICH Savely 18% 38% 30% 11% 2% - -
115 MARGULIS Jared 2% 15% 32% 32% 15% 3% -
116 SEN Christian 14% 34% 32% 15% 4% - -
117 SLEP Solomon 4% 19% 32% 28% 13% 3% -
118 MOYD Aaron - 1% 7% 22% 37% 26% 7%
119 FRUTH Evan 7% 36% 38% 15% 3% -
119 XU Ivan 23% 41% 26% 8% 1% - -
119 MARKOWITZ Jonathan 6% 23% 34% 25% 10% 2% -
119 FANG Eason 7% 25% 34% 24% 9% 2% -
123 SZULIM Lucjan 25% 41% 25% 7% 1% - -
124 GONG Gavin 2% 14% 36% 34% 13% 2% -
125 WITCZAK Mateus 1% 9% 30% 38% 18% 3% -
125 VAHABZADEH Jake R. 27% 41% 24% 7% 1% - -
127 GUREVICH Benjamin 2% 10% 26% 33% 22% 7% 1%
128 NOTOPRADONO Nicholas 3% 17% 32% 30% 14% 3% -
129 ORR Nolan - 3% 14% 31% 33% 16% 2%
130 BALU Aedan 1% 10% 34% 37% 16% 3% -
131 PARKILA Lukas 3% 18% 35% 30% 12% 2% -
132 JONES Elijah 8% 28% 35% 21% 6% 1% -
133 ZHENG LEON 1% 8% 25% 35% 23% 7% 1%
134 LIU Daniel 5% 20% 34% 27% 11% 2% -
135 CUNLIFFE Sebastian 8% 29% 36% 21% 5% 1%
136 ZHOU William 2% 19% 39% 30% 9% 1% -
136 ORLIN Edward 5% 27% 40% 22% 5% 1% -
138 PARCELL Colby 33% 42% 20% 5% 1% - -
139 KMETA-SUAREZ Graysen 48% 39% 11% 1% - - -
140 RILEY "Jack" 37% 41% 18% 4% - - -
141 MOLDABEK-MACHADO Aron 58% 35% 7% 1% - -
142 GOMEZ Emilio 34% 46% 17% 3% - - -
142 LIM Kai 12% 38% 34% 13% 2% - -
144 GAO Kai 58% 34% 7% 1% - - -
145 FARBER Jake 62% 32% 6% - - - -
146 CHOHAN Jibreel 41% 40% 15% 3% - - -
147 TURECK Nathan 14% 36% 32% 14% 3% - -

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.