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December NAC

Cadet Men's Saber

Friday, December 10, 2021 at 2:00 PM

Columbus, OH, 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 FERNANDEZ Rodrigo - - 4% 18% 42% 35%
2 SO Hananiah - - - 2% 13% 40% 45%
3 KIM Shaun M. - 7% 24% 37% 26% 7%
3 WANG Charles 1% 8% 23% 33% 25% 9% 1%
5 SIMAK Joseph P. - - 2% 12% 31% 38% 17%
6 XU William - - 2% 9% 27% 40% 23%
7 BABAYEV Gabriel A. - 1% 7% 29% 44% 19%
8 POPE Nico - 4% 18% 35% 32% 11%
9 CHAN Matthew - - 1% 7% 25% 42% 26%
10 TANN Justin - - 1% 5% 20% 41% 33%
11 YUN Jaesun - - 3% 19% 45% 34%
12 CHIN Matthew W. - - 2% 13% 33% 37% 14%
13 HONG Vincent Q. - - 3% 14% 31% 36% 16%
14 NYANTEE-ZEIGER Koan 5% 22% 36% 27% 10% 2% -
15 MCCARTHY Gabriel - 2% 11% 27% 34% 20% 4%
16 WONG Ryan 1% 7% 25% 37% 24% 6%
17 MORRILL William - - 1% 6% 22% 40% 31%
18 YUN Jake - - 1% 9% 27% 40% 22%
19 HJERPE Wade H. - 3% 14% 29% 33% 18% 4%
20 LUTHRA Arjun - 2% 11% 31% 37% 17% 1%
21 LEE Aydan J. - 1% 11% 34% 37% 15% 2%
22 BERRIO Carter E. - 1% 7% 22% 35% 27% 8%
23 YANG Ziyi - 3% 13% 32% 37% 16%
24 CHEONG Heonjae - 5% 22% 38% 28% 7%
25 HAN Edward 20% 40% 29% 10% 1% -
26 WOODWARD Connor - 2% 12% 31% 38% 17%
27 BUCHMANN Finn D. 1% 11% 29% 36% 20% 4%
28 PIWOWAR Alex - 4% 20% 36% 28% 10% 1%
29 CHON Taylor A. - 1% 5% 21% 42% 32%
30 ATANASSOV Vasil V. - - 2% 15% 38% 36% 9%
31 BARRETO Elliott - - 3% 18% 43% 35%
32 OVERDECK Andrew 1% 10% 30% 36% 19% 3%
33 GHAYALOD ansh - - 3% 13% 32% 37% 16%
34 DHINGRA Gian K. - - - 1% 12% 40% 47%
35 HO Kaden M. 1% 7% 28% 39% 22% 4%
36 WANG Eric Y. - - 1% 7% 25% 41% 26%
37 HOUTZ Jackson - - 1% 10% 30% 40% 19%
38 WILSON Jude - - - 1% 11% 40% 48%
39 JIANG Anthony - 1% 6% 24% 42% 27%
40 LE Hayden - 1% 6% 23% 42% 29%
41 CHOI Silas - 5% 19% 36% 30% 9%
42 MAKLIN Edward P. 1% 8% 25% 37% 24% 5%
43 LEE Justin - 2% 11% 27% 34% 21% 5%
44 HOLZ William A. 1% 8% 23% 33% 25% 9% 1%
45 CHEN Leo - 1% 5% 19% 36% 31% 9%
46 LUO George F. - 1% 9% 26% 36% 23% 5%
47 REN James - 4% 19% 34% 29% 11% 2%
48 MORALES Jonathan 4% 19% 33% 28% 12% 3% -
49 SHOMAN Zachary - - 3% 15% 33% 35% 13%
50 KROON Lucas 1% 12% 32% 35% 17% 3% -
51 OH Triton 1% 5% 19% 33% 29% 12% 2%
52 NOBLE Colin - 2% 10% 29% 39% 20%
53 BULL Anderson - 7% 27% 39% 22% 4%
54 HOLZ Daniel - 3% 15% 35% 35% 12%
55 ERMAKOV Lev - 3% 17% 38% 33% 9%
55 TONG ZACHARY - 1% 9% 27% 40% 22%
57 DENNER Maximilian P. - 2% 10% 30% 39% 18%
58 SHIRPAL Oleksandr - 3% 15% 34% 35% 14%
59 DOLAN Charles R. - 4% 18% 34% 30% 12% 2%
60 MICLAUS Justin - 4% 18% 34% 30% 11% 1%
61 EICHHORN Lukas H. - - 4% 17% 35% 33% 11%
62 SCHERER Max 4% 19% 35% 30% 11% 2%
63 GREENBAUM Ian L. 1% 10% 29% 36% 20% 4%
64 PENG Bryan 2% 13% 29% 32% 18% 5% -
65 LINDHOLM Oliver S. 1% 12% 33% 35% 16% 3%
66 KOTOV Leonid - - 5% 24% 41% 26% 4%
67 SHOMAN Noah - 1% 7% 23% 36% 26% 7%
68 LIANG Connor - - - - 4% 27% 69%
69 GUZZO Vito - - 2% 17% 40% 34% 7%
70 YANG Duncan (BoTong) 1% 10% 33% 38% 16% 2%
71 ZHENG Edward L. 1% 10% 29% 36% 20% 4%
72 ZHANG Jeffrey 3% 17% 35% 31% 12% 2%
73 DU Gavin J. - 5% 21% 38% 29% 7%
74 HUANG Ethan F. - 1% 6% 21% 37% 29% 7%
75 WANG Andy 3% 19% 36% 29% 11% 2% -
76 HAN Daniel Y. - 3% 15% 31% 32% 15% 3%
77 CAISSE Simon B. 2% 13% 31% 33% 17% 4% -
78 KIM Alexander M. - 4% 20% 38% 31% 8%
79 LIN Daniel 1% 14% 33% 34% 15% 3%
80 MAHAPATRA SAMARTH 7% 29% 38% 21% 5% -
81 CHEN Evan P. 2% 15% 34% 33% 14% 2%
81 ZENG Noah 4% 18% 34% 30% 12% 2%
83 YOU Jaden 6% 24% 36% 25% 8% 1%
84 PANDEY Neil 3% 25% 40% 25% 7% 1%
85 CHEONG Heonjun 2% 14% 34% 34% 14% 2%
86 GLOZMAN Justin 3% 22% 38% 27% 9% 1%
87 HUANG Connor 11% 31% 35% 19% 5% -
88 ZHOU Miles - 6% 22% 38% 28% 7%
89 PAN Alex 8% 42% 37% 11% 1% -
90 KAKEHI Nicholas B. 1% 7% 25% 38% 24% 6%
91 FIELDS Matthew S. 13% 34% 33% 15% 3% -
92 HONG Steven 1% 6% 21% 36% 28% 8%
93 KUSHKOV Veniamin - 1% 9% 31% 39% 18% 2%
94 GOLD Carter 2% 33% 44% 18% 3% - -
95 ZHOU Aeres Z. 1% 7% 24% 35% 24% 7% 1%
96 TASIKAS Stylianos 1% 12% 31% 34% 17% 4% -
97 WANG Nicolas - 4% 18% 34% 30% 13% 2%
98 MIYASAKI-CASTRO Masanobu 2% 15% 34% 32% 14% 3% -
99 KILGALLEN William - 1% 12% 37% 36% 13% 1%
100 CADAMBI Roshan - 3% 15% 31% 32% 15% 3%
101 GOLDMAN Noah R. - 4% 16% 32% 32% 14% 2%
102 DEKA Tanush 5% 27% 38% 23% 7% 1% -
103 LU Caleb Q. 2% 16% 34% 32% 14% 3% -
104 DENG Andrew - 1% 8% 27% 39% 22% 3%
105 LEONARD Charles 7% 26% 36% 23% 7% 1% -
106 FLOT Tai A. 1% 7% 22% 33% 26% 10% 1%
107 QIU Nathan - 1% 8% 26% 37% 23% 5%
108 AVAKIAN Alec - 5% 22% 37% 28% 8%
109 MARGULIES William 2% 12% 31% 35% 17% 3%
110 KIBBAR Tomer L. - 2% 14% 33% 36% 15%
111 BEITEL Noah 3% 17% 33% 31% 14% 2%
112 BOUKHTIN Maxim 12% 34% 34% 16% 3% -
113 BERMAN Luca - 5% 21% 37% 29% 8%
113 RAJAN Advait 22% 43% 27% 7% 1% -
115 COLE Alexander - 2% 12% 31% 35% 18% 3%
116 NG Jeremiah - 2% 10% 27% 35% 21% 4%
117 GHENEA George Philipe - 1% 7% 23% 37% 26% 6%
118 NOURELDIN Gabriel - 1% 8% 24% 36% 25% 6%
119 WEBER Mattias A. 8% 28% 35% 21% 6% 1% -
120 DEPEW Spencer 3% 18% 35% 30% 12% 2% -
121 BUKOWSKI Broghan J. 11% 33% 35% 17% 4% - -
122 XU Andrew 2% 15% 32% 33% 15% 3%
123 KOGAN Benjamin - 5% 19% 36% 31% 9%
124 NAZLYMOV Andrei 1% 10% 29% 36% 20% 4%
125 RIGHTLER Samuel - 4% 24% 43% 25% 4%
126 GINSBERG jordan 20% 39% 29% 10% 2% -
127 SCHARDINE James 8% 27% 36% 23% 7% 1%
128 FLITSANOV Macabee 37% 42% 18% 4% - -
129 HUANG Tom 12% 36% 35% 15% 3% -
130 MCCLUNG Gavin 24% 42% 26% 7% 1% -
131 MOULTON Ian 2% 18% 46% 27% 6% 1% -
132 WANG Robert 1% 7% 26% 38% 24% 6% -
133 LIU Mingyang Ryan 2% 13% 30% 32% 18% 5% -
134 VAUGHN Jason 1% 13% 33% 33% 16% 4% -
135 ZHANG Ethan W. 18% 36% 30% 13% 3% - -
136 WU Wilmund 1% 6% 25% 37% 24% 7% 1%
137 KUSHKOV Daniel 3% 16% 32% 30% 15% 3% -
138 PERRON Robert 6% 27% 39% 22% 6% 1% -
139 YAN Leonard Z. 23% 46% 25% 6% 1% - -
140 WAXLER Seth B. 2% 11% 26% 33% 21% 7% 1%
141 MEDVEDEV Michail D. 2% 15% 35% 33% 13% 2%
142 STERN Tobias 33% 43% 20% 4% - -
143 CHAUDHURI Eeshaan A. 2% 18% 42% 29% 8% 1%
143 MUNGOVAN Matthew 60% 32% 7% 1% - -
145 SHANKAR Karthik 44% 41% 13% 2% - -
146 MAY Griffin M. 11% 32% 35% 18% 4% -
147 KOVACH Jonah F. 11% 33% 35% 17% 4% -
147 BARRETO Andree 68% 29% 3% - - -
149 TENG MATTHEW 2% 18% 38% 31% 10% 1%
150 CHAN Aidan Tuan Nho 13% 34% 34% 16% 4% - -
151 KUMAR Sachit 3% 17% 33% 30% 14% 3% -
152 LIM William J. 2% 12% 28% 33% 19% 6% 1%
153 POSY Daniel 2% 28% 45% 21% 4% - -
154 SHI Jeremy 12% 35% 34% 15% 3% - -
155 WEIL Asher D. 53% 37% 9% 1% - - -
155 MCCARTHY Devan 7% 34% 38% 18% 4% - -
157 BEAULAC Stephane 5% 22% 35% 26% 10% 2% -
158 HUROWITZ Max 15% 36% 33% 14% 3% - -
159 WU Richard 21% 38% 28% 10% 2% - -
160 CHAN Aidan 9% 30% 36% 20% 5% 1% -
161 BROU Inkosi 2% 15% 34% 32% 14% 3% -
162 BONN-ELCHONESS Peter 29% 43% 22% 5% 1% - -
163 LAGROU Emerson R. 36% 45% 16% 2% - - -
164 LIGH Checed 24% 51% 22% 3% - - -
165 KAPOOR Tanmay 47% 39% 12% 2% - - -
166 HOTHA Nikhil 60% 33% 7% 1% - -
166 SHAHZAD Azlan A. 22% 42% 27% 7% 1% -
168 WALKE Devin 19% 38% 29% 11% 2% - -
169 TSAI Michael T. 65% 30% 5% - - -
170 NIETO Titus P. 46% 39% 13% 2% - - -
171 ENGEL Peter 16% 38% 32% 12% 2% -
172 AN David 53% 36% 9% 1% - - -
173 WILKERSON Jude 47% 43% 10% 1% - - -
174 LANNAMAN Connor 20% 38% 29% 11% 2% - -
175 SINGH Angadh 14% 43% 31% 9% 1% -
176 PARADIS Emmit 87% 13% 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.