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December NAC

Junior Men's Saber

Saturday, December 11, 2021 at 1:00 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 MOON Sean H. - - - 5% 21% 42% 31%
2 ATTIG Will T. - - 1% 7% 32% 60%
3 HUSSAIN Faaris - - 1% 7% 23% 41% 28%
3 CHOI HYUNSEOK - - - 2% 13% 40% 45%
5 BENAVRAM Lev C. - - - 3% 19% 43% 34%
6 WILLIAMS Nolan E. - - - 4% 19% 42% 35%
7 CHIN Matthew W. - - 5% 26% 42% 24% 3%
8 WOOD Elden S. - - - 4% 19% 41% 35%
9 CALLAHAN Jaden P. - - - 4% 20% 42% 34%
10 ANGLADE Junior Ronald (RJ) E. - - - - 4% 28% 67%
11 JI Cody Walter - 1% 9% 31% 41% 18%
12 MORRILL Justin - 1% 7% 25% 39% 24% 3%
13 SO Hananiah - - 3% 16% 41% 40%
14 HARVEY Nicholas J. - - 1% 6% 25% 44% 26%
14 SOHN Kevin J. - - 1% 7% 24% 42% 26%
16 YANG Ziyi - 1% 7% 26% 39% 23% 4%
17 DESROSIERS Olivier - - 1% 9% 29% 41% 19%
18 SILBERZWEIG Jordan H. - - - - 4% 29% 66%
19 RAI Avin - - 2% 11% 30% 39% 18%
20 GUAY-TARDIF Xavier - - 1% 8% 29% 42% 20%
21 TONG ZACHARY - - 3% 19% 41% 31% 6%
22 CZAHA Balint - 1% 6% 19% 34% 30% 11%
23 LO Joshua H. - 1% 8% 28% 42% 21%
24 ZHOU Matthew R. - - 1% 7% 25% 42% 26%
25 DODRILL Grant - - 1% 5% 20% 42% 33%
26 PRIEST Leighton K. - 1% 5% 21% 42% 31%
27 LINSKY Matthew - - 4% 19% 43% 34%
28 HAN Daniel Y. - 3% 17% 36% 31% 12% 1%
29 MCCARTHY Gabriel 1% 6% 20% 32% 27% 11% 2%
30 PAN Jack (Yuxiang) - 1% 6% 24% 44% 26%
31 LEE Justin 7% 27% 37% 23% 6% 1%
32 HONG Vincent Q. - 1% 5% 22% 38% 28% 6%
33 JEFFORDS Alexander - - 1% 6% 22% 41% 30%
34 TRAVERS Samir T. - - - 2% 13% 40% 46%
35 LILOV Neil - - - 1% 11% 38% 49%
35 CHEONG Heonjae - 3% 15% 33% 34% 15% 2%
37 WANG Eric Y. - 1% 6% 20% 35% 30% 9%
39 KUSHKOV Simon O. - - - 1% 9% 36% 55%
40 BUERGENTHAL Aaron P. - - 3% 15% 34% 36% 11%
41 MORRILL William - - 1% 6% 24% 42% 27%
42 SIMAK Joseph P. - - 3% 17% 39% 32% 8%
43 SCHARDINE James 7% 30% 39% 19% 4% < 1% -
44 DHINGRA Gian K. - - 1% 6% 22% 41% 30%
45 YUN Jaesun - - 4% 16% 35% 34% 11%
46 BERMAN Luca 1% 6% 19% 33% 28% 11% 2%
47 WONG Ryan 3% 17% 34% 32% 13% 1%
48 KOGAN Benjamin 1% 8% 28% 38% 21% 4%
49 GEFELL Andrew P. - - - 4% 20% 43% 32%
50 LIANG Connor - - - 1% 8% 36% 55%
51 TANN Justin - 1% 5% 19% 35% 30% 10%
52 NIL Michael Y. - 3% 17% 38% 33% 9%
53 BARTOLO Domenic V. - 1% 5% 20% 35% 29% 9%
54 JINICH Ilan R. - 3% 13% 29% 33% 18% 3%
55 BUCHMANN Finn D. 1% 7% 23% 34% 25% 8% 1%
56 ZHENG Edward L. 2% 15% 34% 32% 14% 3% -
57 KAYDALIN Artyom - 1% 6% 22% 36% 27% 8%
58 HO Kaden M. - 1% 9% 30% 41% 19%
59 VOCHOSKA Aidan F. - 3% 17% 36% 34% 10%
60 ATANASSOV Vasil V. - 5% 18% 33% 30% 13% 2%
61 NORRIS Roman 3% 15% 31% 32% 16% 4% -
62 DENNER Maximilian P. 2% 12% 31% 35% 17% 3%
63 CZYZEWSKI Konrad R. - 1% 9% 26% 36% 23% 5%
64 GAFFNEY John M. 1% 9% 29% 37% 20% 4% -
65 RIGHTLER Samuel 1% 8% 26% 35% 22% 7% 1%
66 JEAN Noe T. - - - 3% 16% 42% 39%
67 HAMMERSTROM Jared - 1% 8% 28% 42% 21%
68 NG Jeremiah 1% 9% 30% 37% 19% 3%
69 LIMB Matthew G. - - 1% 8% 26% 42% 24%
70 NAZLYMOV Andrei 1% 10% 27% 34% 21% 6% 1%
71 BOLTON Braydon A. - - - 3% 17% 42% 37%
72 CHEN Leo - 4% 19% 37% 30% 10% 1%
73 LE Hayden - 1% 4% 16% 32% 33% 13%
74 CHEONG Heonjun 1% 10% 33% 36% 17% 3% -
75 LASORSA Matthew - 2% 11% 29% 36% 19% 3%
76 NOBLE Daniel - - 4% 15% 34% 35% 12%
77 JOHNSON Langston C. - 1% 6% 21% 38% 29% 5%
77 JIANG Anthony - 1% 9% 27% 36% 21% 4%
77 PANDEY Neil 3% 17% 34% 31% 13% 2% -
80 CHAUDHURI Eeshaan A. 2% 14% 36% 34% 12% 2% -
81 BARRETO Elliott - - 2% 13% 33% 38% 14%
82 MURZYN III CJ - 6% 26% 39% 23% 5%
83 NOBLE Colin 1% 7% 25% 38% 25% 5%
84 VILLARREAL Mateo 23% 41% 27% 8% 1% -
85 HJERPE Wade H. - 5% 19% 34% 29% 11% 1%
86 MAKLIN Edward P. - 5% 20% 35% 29% 10% 1%
87 GUZZO Vito - 4% 19% 36% 30% 11% 1%
88 HUANG Ethan F. 1% 6% 23% 37% 26% 7% 1%
89 DIACOS Jordan - - 4% 17% 37% 32% 9%
89 CHOI Silas - 2% 12% 31% 36% 17% 2%
89 WANG Charles - 5% 21% 36% 28% 10% 1%
92 FERNANDEZ Rodrigo - - 4% 18% 37% 33% 8%
93 LU Caleb Q. 2% 16% 37% 32% 10% 1% -
94 KIBBAR Tomer L. - 1% 9% 29% 37% 20% 4%
95 HUANG Tom 16% 36% 31% 13% 3% - -
96 GANTA Vijay - 3% 13% 31% 34% 16% 3%
97 OVERDECK Andrew 1% 16% 40% 31% 10% 1% -
98 LAI Adam J. - - - 2% 12% 38% 48%
99 DEPEW Spencer 19% 38% 29% 11% 2% - -
100 CHON Taylor A. - 5% 24% 40% 25% 5%
101 KOTOV Leonid 1% 10% 28% 35% 20% 5% -
102 YUN Jake - 1% 11% 33% 37% 16% 2%
103 WOODWARD Connor - 1% 9% 28% 38% 21% 3%
104 GREENBAUM Ian L. 1% 6% 21% 34% 27% 10% 1%
105 KIM Shaun M. - 8% 29% 39% 21% 3%
106 LIN John A. - - 2% 10% 29% 40% 20%
106 LUTHRA Arjun 2% 13% 32% 34% 16% 3% -
108 HOLZ William A. - 5% 21% 36% 28% 10% 1%
109 BRAR Sanjeet - 2% 13% 32% 35% 15% 2%
110 CHAN Matthew - - 3% 16% 36% 35% 10%
111 PAN Jerry - - 1% 10% 33% 41% 16%
111 ZHOU Miles - 14% 37% 35% 13% 2%
111 CADAMBI Roshan 1% 8% 26% 37% 22% 6% 1%
114 GHENEA George Philipe 1% 5% 20% 35% 29% 9% 1%
115 ROBERTS Sam - 2% 11% 31% 37% 18% 2%
116 WILSON Jude - - 2% 12% 34% 39% 14%
117 ZENG Noah 1% 7% 23% 35% 25% 8% 1%
118 SUBBIAH Prashanth V. - - 4% 19% 38% 30% 8%
119 BABAYEV Gabriel A. - 3% 16% 34% 32% 13% 1%
120 LIM William J. 1% 11% 31% 35% 18% 4% -
121 ALTIRS Alexander - 1% 11% 31% 37% 18% 2%
122 KROON Lucas 3% 17% 37% 30% 11% 2% -
123 CAISSE Simon B. 7% 24% 34% 24% 9% 2% -
124 KUMAR Sachit 10% 32% 35% 18% 4% - -
125 HUANG Connor 6% 32% 38% 19% 5% - -
126 GHAYALOD ansh - 6% 23% 36% 26% 8% 1%
127 OH Triton 2% 15% 34% 32% 14% 2% -
128 CHAN Aidan 40% 41% 16% 3% - -
129 YANG Richard - 1% 6% 23% 38% 26% 6%
130 BERRIO Carter E. - 2% 14% 32% 34% 16% 3%
131 MICLAUS Justin 2% 14% 32% 32% 16% 3% -
132 ERMAKOV Lev - 1% 6% 24% 38% 26% 5%
133 ZHOU Justin - - 4% 18% 37% 33% 8%
134 ZHOU Aeres Z. 3% 19% 36% 29% 11% 2% -
135 MAY Griffin M. 23% 41% 27% 8% 1% -
136 SHOMAN Noah 4% 21% 37% 28% 9% 1%
137 WIND Nicky E. - - - 4% 22% 44% 29%
138 XU William - 1% 8% 23% 36% 26% 6%
139 YANG Duncan (BoTong) - 2% 12% 33% 36% 15% 2%
139 REN Richard 1% 7% 27% 37% 22% 6% 1%
141 XUE ALEXANDER - 2% 14% 34% 35% 14% 2%
142 FREYRE DE ANDRADE Elian R. 1% 10% 29% 35% 20% 5% -
143 WU Wilmund 8% 30% 36% 20% 5% 1% -
144 ZHANG Ethan W. 6% 32% 38% 19% 4% - -
145 EICHHORN Lukas H. - 4% 16% 31% 31% 15% 3%
146 KIM Alexander M. - 6% 23% 36% 26% 8% 1%
147 AVAKIAN Alec 1% 9% 26% 36% 22% 6% -
148 GOLD Carter 43% 40% 15% 3% - - -
149 LEE Aydan J. 1% 10% 30% 35% 19% 4% -
150 DENG Andrew - 1% 12% 35% 37% 14% 1%
151 NEVILLE James 24% 40% 26% 8% 1% - -
151 MOULTON Ian 28% 44% 23% 5% 1% - -
153 LEITH Jack 4% 19% 35% 29% 11% 2% -
153 WANG Nicolas 3% 22% 39% 27% 8% 1% -
153 ZHANG Jeffrey 2% 15% 36% 33% 13% 2% -
156 DU Gavin J. - 5% 19% 34% 29% 11% 1%
156 HOLZ Daniel - 3% 15% 35% 33% 12% 2%
156 AN Damon 11% 34% 35% 16% 4% - -
159 BEITEL Noah 4% 17% 32% 29% 14% 4% -
160 PAN Alex 5% 31% 43% 18% 3% - -
161 FLOT Tai A. - 6% 24% 36% 25% 8% 1%
162 POPE Nico - 1% 11% 32% 39% 16%
163 HONG Steven 4% 19% 35% 30% 11% 1%
164 WAXLER Seth B. 2% 16% 36% 32% 12% 1%
165 MARGULIES William 6% 25% 37% 25% 7% -
166 REN James 7% 27% 37% 23% 6% -
167 XU Andrew 7% 28% 37% 22% 5% -
168 HAN Edward 36% 45% 16% 2% - -
169 PIWOWAR Alex 2% 14% 32% 33% 16% 3% -
170 CHEN Evan P. 2% 13% 29% 32% 18% 5% 1%
171 SHOMAN Zachary - 2% 11% 29% 35% 19% 4%
172 FIELDS Matthew S. 4% 26% 38% 24% 7% 1% -
173 SHIRPAL Oleksandr - 2% 13% 34% 35% 14% 2%
174 XU Luke - 3% 15% 33% 33% 15% 2%
175 MOSKOWITZ Mason C. - 3% 14% 33% 35% 14% 2%
176 TENG MATTHEW 3% 17% 34% 31% 13% 3% -
177 ELIN Adam E. 3% 18% 33% 30% 13% 3% -
178 DEKA Tanush 25% 43% 25% 7% 1% - -
179 KILGALLEN William 3% 17% 33% 30% 14% 3% -
180 GOLDMAN Noah R. 1% 9% 29% 37% 20% 5% -
180 SABATIER Lubin 3% 15% 31% 31% 16% 4% -
182 COLE Alexander 2% 13% 30% 33% 18% 4% -
183 FERRIS George H. 1% 7% 24% 35% 25% 8% 1%
184 KUSHKOV Veniamin 2% 14% 33% 33% 15% 3% -
185 CORTEZ Christopher 1% 21% 41% 28% 8% 1%
186 WANG Robert 3% 15% 32% 31% 15% 3% -
187 BERGER Oliver - - 2% 11% 31% 40% 16%
188 LIN Daniel 1% 9% 27% 35% 21% 6% 1%
189 BEAULAC Stephane 11% 31% 34% 18% 5% 1% -
190 RAJAN Advait 23% 41% 27% 8% 1% - -
191 SINGH Angadh 6% 24% 36% 25% 8% 1% -
192 NOURELDIN Gabriel 1% 10% 28% 35% 20% 5% -
192 BONN-ELCHONESS Peter 38% 42% 17% 3% - - -
194 KOVACH Jonah F. 10% 31% 35% 19% 5% 1% -
195 HOUTZ Jackson 1% 10% 33% 37% 16% 2%
196 SCHERER Max 9% 29% 36% 20% 5% -
197 LUO George F. 4% 19% 36% 30% 10% 1%
198 CHAN Aidan Tuan Nho 46% 40% 12% 2% - -
199 SHI Jeremy 25% 46% 23% 5% - - -
200 LIU Mingyang Ryan 9% 28% 35% 21% 6% 1% -
200 GLOZMAN Justin 8% 28% 35% 21% 6% 1% -
202 BULL Anderson 1% 9% 25% 34% 23% 7% 1%
203 WANG Andy 14% 36% 32% 14% 3% - -
204 QIU Nathan 1% 9% 26% 36% 22% 6% -
205 WONG James T. 12% 38% 35% 13% 2% - -
206 LINDHOLM Oliver S. 2% 15% 33% 32% 15% 3% -
206 VAUGHN Jason 17% 39% 31% 11% 2% - -
208 MORALES Jonathan 9% 32% 38% 17% 4% - -
208 MIYASAKI-CASTRO Masanobu 8% 32% 36% 19% 5% 1% -
210 PERRON Robert 31% 42% 21% 5% 1% - -
211 SHAHZAD Azlan A. 8% 39% 39% 12% 2% - -
212 NYANTEE-ZEIGER Koan 23% 42% 26% 7% 1% - -
213 RICHER Tyler 30% 44% 21% 4% - - -
214 KAKEHI Nicholas B. 1% 10% 27% 34% 21% 6% 1%
214 BOUKHTIN Maxim 20% 42% 28% 8% 1% - -
216 LAGROU Emerson R. 60% 33% 6% - - - -
217 MEDVEDEV Michail D. 3% 17% 33% 30% 14% 3% -
218 PENG Bryan 6% 27% 37% 23% 6% 1% -
219 GINSBERG jordan 12% 47% 33% 8% 1% - -
220 POSY Daniel 26% 44% 24% 5% - - -
221 TASIKAS Stylianos 10% 37% 35% 15% 3% - -
222 MUNGOVAN Matthew 46% 42% 11% 1% - - -
223 EDELMAN Seth A. 10% 30% 35% 19% 5% 1% -
224 WEBER Mattias A. 19% 42% 29% 9% 1% - -
225 HUROWITZ Max 39% 41% 16% 3% - - -
226 BAUER Hank E. 7% 30% 38% 20% 4% -
227 DOLAN Charles R. 10% 33% 37% 17% 3% -
228 YOU Jaden 7% 25% 34% 23% 8% 2% -
229 LEONARD Charles 28% 42% 23% 6% 1% - -
230 AN David 60% 34% 6% - - - -
231 BIRKS Evan D. 20% 44% 28% 7% 1% - -
231 WONG Ethan 55% 36% 9% 1% - - -
233 BROU Inkosi 26% 48% 22% 4% - -
234 MICHNA Colin P. 6% 24% 35% 25% 9% 2% -
234 MCCARTHY Devan 24% 40% 26% 8% 1% - -
236 MCCLUNG Gavin 14% 46% 31% 8% 1% -
237 TSAI Michael T. 64% 30% 5% - - - -
238 NIELANDER Elliot S. 36% 43% 18% 3% - - -
238 LANNAMAN Connor 51% 38% 10% 1% - - -
240 WU Richard 30% 43% 22% 5% - - -
240 KAPOOR Tanmay 64% 30% 5% - - - -
242 NIETO Titus P. 62% 32% 6% 1% - - -
243 YAN Leonard Z. 36% 46% 16% 2% - - -
243 SANDHU Arjan 20% 47% 26% 6% 1% - -
245 DOLSKI Jack 17% 41% 31% 9% 1% - -
245 WILKERSON Jude 93% 7% - - - -

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.