Capitol Clash SYC/RCC

Y-14 Men's Saber

Monday, January 16, 2023 at 8:00 AM

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

Probability density of pool victories

Reset

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 SU Landon - - - 1% 9% 39% 51%
2 HUANG Alex F. - - - 1% 8% 34% 57%
3 GONG Jerry - - - 2% 12% 38% 47%
3 KIM ELIJAH - 1% 5% 19% 37% 32% 7%
5 HU Christopher - - - 3% 16% 41% 40%
6 YAN William - 1% 5% 19% 36% 31% 8%
7 LIN Maxim - 1% 7% 22% 36% 26% 7%
8 ALAVE Kyle - 1% 6% 21% 36% 28% 7%
9 CHON Collin - - 1% 8% 27% 41% 23%
10 ANTHONY Devyn V. - - - 1% 6% 32% 61%
10 BERA Enzo - - - 2% 13% 41% 44%
12 GUAN Dennis - - 1% 10% 33% 41% 16%
13 WANG Justin - - 1% 9% 30% 40% 19%
14 MEHAN Nicholas - - - 2% 15% 43% 40%
15 GONG ziqian 1% 8% 24% 35% 24% 7% 1%
16 NGO Maximus 1% 12% 30% 34% 18% 4% -
17 SO Preston - 1% 7% 22% 35% 28% 8%
18 BELL III Alfred (Tripp) R. - 3% 17% 38% 34% 8%
19 LIU Kevin - - 2% 14% 36% 36% 12%
20 CHEN Samuel - - 3% 17% 37% 34% 9%
21 YOOK Isaac - 2% 11% 28% 34% 20% 5%
22 CHUNG Connor - 2% 11% 31% 39% 18%
23 HUNG Samuel - 4% 23% 41% 27% 6%
24 ZHAO Lucas - - 3% 16% 39% 33% 9%
25 LI Maxwell - - 4% 16% 33% 33% 13%
26 GONG zihao - 4% 20% 39% 28% 8% 1%
27 AO Christopher - 3% 14% 30% 33% 17% 3%
28 ATWOOD Griffin - - 2% 11% 35% 41% 11%
29 VAID Luke - - 5% 25% 44% 26%
30 TIAGI George 1% 10% 27% 35% 21% 6% 1%
31 BIVIJI Ali 1% 9% 27% 36% 22% 5% -
32 LIN Philip T. - 3% 12% 28% 34% 20% 4%
33 ANAND Rohan - - - 1% 11% 40% 47%
34 URSU Marcel T. - - - 5% 22% 44% 29%
35 CHEN Jonathan - 1% 10% 33% 40% 16%
36 KATZ Ryan - - 1% 7% 24% 41% 28%
37 KERCHER Alexander - 1% 8% 25% 38% 25% 4%
38 ZHENG LEON - 3% 14% 29% 33% 18% 3%
39 ONG Dylan 4% 22% 37% 27% 9% 2% -
40 ANAND Rishab - 1% 7% 27% 41% 21% 3%
41 PATEL Rayn - - 2% 11% 30% 38% 18%
42 NG Jonathan - - 1% 10% 32% 40% 16%
43 FANG Eason 1% 5% 19% 33% 29% 11% 2%
44 KIM Ethan - - 1% 11% 40% 48%
45 GERSTMANN Max T. - 2% 12% 32% 38% 16%
46 GONG Gavin 10% 29% 34% 20% 6% 1% -
47 TSAO Oliver - 1% 7% 24% 37% 25% 6%
48 GUREVICH Benjamin - 1% 9% 24% 35% 24% 6%
49 KUMAR Arjun - 2% 13% 32% 35% 15% 2%
50 CARRINGTON IV William T. - - 3% 15% 36% 35% 12%
51 HALL Noah - - 7% 27% 40% 22% 3%
52 MCDONALD Finn 1% 7% 22% 33% 26% 10% 1%
53 LI Yidong A. 2% 11% 28% 34% 20% 5% -
54 LEE Andrew - - 4% 18% 36% 32% 10%
55 PARKILA Lukas 9% 32% 37% 18% 3% -
56 MEYERSON Jacob - - 4% 19% 40% 30% 7%
57 LIN Felix 1% 7% 23% 35% 26% 8% 1%
58 OH Aster 1% 7% 24% 36% 25% 7% 1%
58 DEELY Hartigan 1% 8% 26% 36% 23% 6% 1%
60 NARDINI Nathanael P. - 1% 8% 25% 35% 24% 6%
61 XU Ivan 5% 22% 35% 26% 10% 2% -
62 SUGIURA Samuel - - 1% 6% 26% 43% 24%
63 SARWAHI Viraat 1% 11% 32% 37% 16% 3% -
64 TURECK Nathan 7% 25% 34% 23% 8% 1% -
65 WANG Daniel - - 1% 7% 24% 41% 27%
66 SASSI Ilyas 13% 37% 34% 13% 3% < 1% -
67 KIM Samuel 8% 26% 34% 23% 8% 1% -
68 NOVOSYOLOK Zachary - - 2% 15% 38% 36% 9%
69 BADUSHOV Anton 1% 7% 23% 35% 25% 8% 1%
69 WANG Weiyun - 1% 5% 19% 35% 31% 9%
71 SHANKWILER Christopher - 1% 8% 24% 35% 25% 7%
72 SRIVATS Vedh - 2% 10% 26% 35% 22% 5%
73 KUMAR Avinash - 5% 32% 40% 18% 3% -
74 HE Bowen - 3% 16% 37% 32% 11% 1%
75 NOTOPRADONO Nicholas 1% 6% 20% 34% 28% 11% 1%
76 CLARK Aram - 1% 4% 17% 35% 32% 11%
77 WANG Max 1% 10% 28% 34% 20% 5% -
78 LI AYDEN 1% 7% 25% 38% 24% 5%
79 WITCZAK Mateus 2% 15% 35% 33% 13% 2%
80 VAHABZADEH Jake R. 7% 29% 38% 21% 5% - -
81 SUN Andrew 4% 20% 35% 28% 11% 2% -
82 VUONG Kyle Ka-Him 3% 16% 33% 31% 14% 3% -
83 RAJMOHAN Arya - 3% 18% 36% 31% 10% 1%
84 BAI Evan 5% 21% 35% 27% 10% 2% -
85 BREUER Daniel 2% 13% 32% 33% 16% 3% -
85 STRUCKER Rocco 21% 39% 28% 10% 2% - -
87 BONETTI Brayden 1% 7% 24% 36% 25% 7% 1%
88 PRIEUR Christian F. 5% 23% 35% 26% 9% 2% -
89 TSAO Alister 10% 36% 38% 14% 2% - -
90 LOO Jason 2% 12% 29% 32% 18% 5% 1%
91 LIU Marvin 1% 9% 33% 38% 17% 2%
92 WAXLER Ryan 2% 12% 30% 34% 18% 4% -
93 LIEBOWITZ Carson 17% 38% 31% 12% 2% - -
94 LIU Aaron 2% 14% 31% 32% 17% 4% -
95 PINTO Marcus 1% 7% 22% 34% 26% 9% 1%
96 WONG Caleb W. 4% 18% 33% 29% 13% 3% -
97 BUIKEVICH Ihnat - 1% 7% 23% 35% 26% 8%
98 LIU Victor - 3% 13% 30% 35% 17% 2%
98 SLEP Solomon 1% 6% 20% 33% 28% 11% 2%
100 SOKOLOV Arseniy 4% 22% 38% 27% 8% 1% -
100 LIU Daniel 3% 18% 34% 30% 13% 2% -
102 ZHOU William 12% 34% 34% 16% 4% - -
103 GRABOWSKI Stanley 27% 43% 24% 6% 1% - -
104 GOMEZ Emilio 12% 36% 35% 14% 2% - -
105 MCCONNELL Quinlan 2% 12% 29% 33% 19% 5% -
106 PAVLENISHVILI Luke 46% 41% 12% 2% - - -
106 CRAIN Bennett 21% 45% 27% 7% 1% - -
108 BALU Aedan 1% 7% 23% 35% 26% 8% 1%
109 LIM Kai 24% 42% 26% 7% 1% -
110 LAMTAN Christoffer 12% 36% 35% 14% 2% -
111 DOMINIQUE Remson 1% 8% 28% 39% 21% 3%
112 GORDON Samuel 21% 42% 28% 8% 1% -
113 CHOHAN Jibreel 63% 32% 5% - - -
114 ZHANG Kaixuan - 2% 19% 41% 30% 8% 1%
115 ZHANG Ray 4% 19% 34% 28% 12% 2% -
116 WANG Michael 6% 28% 42% 20% 4% - -
117 BAGHERI Bijan 22% 40% 27% 9% 1% - -
118 LEE Thomas 36% 44% 17% 2% - - -
119 NGO Emerson 10% 31% 34% 19% 5% 1% -
120 DOSTAL Maximilian 4% 19% 34% 28% 12% 2% -
121 ZHAO Royce 3% 16% 33% 31% 14% 3% -
122 SHAH Sohan 12% 33% 34% 16% 4% - -
123 GAO Kai 23% 42% 26% 7% 1% - -
124 PORTER Dupree 5% 23% 36% 26% 9% 2% -
124 WEST-BEY Ahmad 8% 27% 36% 22% 7% 1% -
126 HU Jayden 2% 13% 32% 35% 15% 3% -
126 ZUCKER Jonah 6% 27% 39% 22% 6% 1% -
128 SAYAR Luke 20% 42% 28% 8% 1% -
129 PAUL James 1% 13% 36% 34% 14% 2% -
130 RINALDI Savio 22% 42% 28% 8% 1% - -
131 FIROOZI Sam 62% 34% 4% - - - -
132 MUNOZ Jonas 22% 60% 17% 2% - - -
133 BARRY Dave 20% 41% 29% 9% 1% - -
134 FRANCOIS Gabriel 13% 51% 29% 6% 1% -
135 RIPA Joseph K. 1% 7% 25% 36% 24% 7% 1%
135 LIU Ethan 16% 41% 32% 10% 1% - -
137 CHAWLA Abhishek 29% 41% 22% 6% 1% - -
138 MILLER Felix 26% 41% 25% 7% 1% - -
139 DIGIACOMO Dennis G. 15% 36% 32% 14% 3% - -
139 BRAMLETT Myer 43% 40% 14% 2% - - -
139 CAREY Sam 11% 37% 38% 13% 2% - -
139 KU Alexander 45% 39% 14% 2% - - -
143 YAO Zachary 35% 45% 17% 3% - - -
143 WOZNIAK Sebastian 4% 44% 38% 11% 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.