October NAC

Cadet Men's Épée

Sunday, October 29, 2023 at 12:00 PM

Orange County Convention Center - Orlando, FL, 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 BEZRODNOV Alexander - - - 3% 24% 73%
2 RUBIN Daniel - 1% 5% 20% 39% 29% 7%
3 MACARTY Jordan T. - - 1% 5% 20% 41% 33%
3 BEZRODNOV Michael - - - 1% 9% 37% 53%
5 JEYOON Ryan S. - - - 1% 8% 35% 56%
6 LO Jake - - - 3% 16% 41% 40%
7 SU Caleb - - 1% 5% 20% 42% 33%
8 TIYA BIAYA K. - - 2% 11% 30% 39% 18%
9 MAO Benjamin - 1% 6% 21% 35% 28% 8%
10 ZHENG Haoran - - - 3% 16% 41% 40%
11 SHAN Junzhe - - 1% 9% 29% 42% 19%
12 BOUDREAUX James 1% 9% 27% 35% 22% 6% 1%
13 CARRIER Gabriel A. - - - 1% 11% 37% 51%
14 KOKENGE Reid - - 1% 7% 25% 42% 26%
15 SISINNI Riccardo - - 1% 7% 23% 40% 28%
16 LEE Stewart S. - - - 3% 16% 41% 39%
17 ZHENG Andy - - 1% 6% 22% 41% 30%
18 WU Jonathan - - 1% 6% 22% 41% 30%
19 NGUYEN Tate - - - 4% 22% 47% 26%
20 IMREK Elijah S. - - - 4% 19% 42% 34%
21 LEE Samuel Y. - - 1% 8% 27% 41% 22%
22 KIM Sullivan - - 2% 13% 32% 37% 15%
23 WANG Joey 2% 14% 30% 31% 17% 5% 1%
24 DESTEFANO Julius - - 1% 6% 24% 43% 27%
25 CHIRASHNYA Daniel - 1% 4% 15% 32% 34% 14%
26 HE Kaixuan - 1% 10% 28% 36% 21% 4%
27 WOLFE Alex - - - 4% 18% 41% 36%
28 FRANGER Max 21% 43% 28% 7% 1% - -
29 GAO Chaney C. - - - 3% 18% 43% 35%
30 LIPPMAN Jake 1% 8% 25% 35% 23% 7% 1%
31 DAO Alexander - 5% 21% 36% 27% 9% 1%
32 CAO Brad - 3% 15% 31% 32% 16% 2%
33 YUE Hongrui - - 4% 19% 38% 31% 8%
34 SHCHUR Landon - - - 5% 21% 44% 30%
35 WIMMER Nathaniel P. - - - 1% 8% 34% 57%
36 VILLALOBOSKOWALSKI Demetrious C. - 2% 11% 27% 35% 21% 4%
37 TREBON Hayden - - 1% 8% 28% 42% 20%
38 IRWIN Peter - - 3% 15% 35% 35% 12%
39 KIM Nathan - - 5% 21% 40% 27% 6%
40 HE Zhiheng - - 5% 22% 40% 28% 4%
41 SVERDLOV Seth - - 4% 19% 39% 32% 6%
42 SEEFELDT William Henry C. - - 1% 5% 21% 42% 31%
43 ARKHIPOV Peter - 2% 10% 28% 37% 19% 3%
44 TIKHOMIROV Theodore - 3% 13% 31% 34% 16% 3%
45 WONG Baron 1% 18% 38% 30% 11% 1% -
46 GAO Zachary - 5% 18% 32% 29% 13% 2%
47 ZI QIN Shang 1% 9% 29% 39% 20% 2%
48 WANG DEVON - - - 3% 19% 46% 33%
48 ZHENG Jerry - 4% 19% 34% 29% 11% 2%
50 SAVORETTI Francesco 1% 5% 18% 32% 29% 12% 2%
51 RICHARDS Jackson D. - 1% 9% 26% 36% 23% 5%
51 CARTY JR Johndale 1% 6% 22% 35% 27% 9% 1%
53 SILVERS Ari - - 1% 7% 26% 43% 24%
54 PAK Elliot - 1% 6% 21% 37% 28% 7%
55 HEADRICK Lance - - 4% 19% 38% 32% 7%
56 DONDISCH ilan - 2% 12% 28% 34% 20% 4%
56 GOLDSON Tyrese 3% 19% 36% 29% 11% 2% -
58 KIM Byung - - 1% 6% 25% 43% 26%
59 YAO Geoffrey B. - - 2% 11% 30% 38% 19%
60 JAIN Aditya - 1% 7% 22% 36% 27% 6%
61 LOISEAU Eliott - - 3% 16% 37% 34% 9%
62 ARAVIND Athreya - 1% 6% 21% 37% 29% 6%
63 TIKHONOV Daniel - 5% 22% 37% 27% 8% 1%
64 KHANNA Nikhil - 1% 5% 19% 34% 31% 11%
65 DAVOODIAN Christopher - - 1% 9% 28% 41% 21%
66 TIEN Jabin - 3% 13% 30% 34% 17% 3%
67 KATS Dylan G. - - - 1% 9% 36% 54%
68 WANG zhixing (Daniel） - 2% 11% 30% 36% 18% 3%
69 CAO Albert - 1% 7% 23% 38% 25% 6%
69 KIM Ian - 3% 16% 31% 31% 15% 3%
71 LEE Noah - - - 4% 19% 43% 34%
72 LAM Alan - 4% 19% 35% 29% 11% 1%
73 GINZBURG Adam 1% 10% 27% 34% 21% 6% 1%
74 LIN Kyran - - 1% 4% 19% 41% 35%
75 KARNAS Karol - - 1% 6% 22% 42% 30%
76 PETERSON Matthew - 3% 16% 35% 33% 12% 2%
76 MODULLA Yathin R. - 3% 12% 28% 34% 19% 4%
78 ZHAO Corey - - 1% 10% 32% 41% 16%
79 CAUCHY Eliot 1% 9% 26% 34% 22% 7% 1%
80 MITEV Alexander - 3% 15% 35% 33% 13% 2%
81 ZHANG ethan 1% 6% 22% 34% 26% 9% 1%
82 DODIN David - - 2% 11% 30% 39% 18%
82 WANG Evan Haoxuan - - - 4% 22% 44% 29%
84 YANG Boyan - - 1% 8% 28% 43% 19%
85 SHA Michael - 3% 16% 35% 32% 12% 1%
86 SOBESHKEVYCH ROMAN - 4% 18% 34% 31% 12% 1%
87 SINGH Ravin 2% 14% 31% 32% 17% 4% -
88 ROMANOV Ethan - 2% 11% 30% 35% 18% 3%
89 HILBERT Gabriel E. - - 1% 9% 29% 41% 19%
90 NAKAS Levent - 2% 14% 32% 34% 16% 2%
91 LE BORGNE Matthieu 3% 17% 32% 30% 14% 3% -
92 JIANG Leon - 1% 6% 22% 37% 27% 7%
93 MEGGERS Davin 1% 7% 23% 35% 26% 8% 1%
94 CORBIN Bennett - 3% 15% 32% 33% 14% 2%
95 CHEN Brian - 1% 6% 22% 38% 28% 5%
96 WONG King-Yee - 7% 25% 36% 24% 7% 1%
97 ESKRIDGE Caleb - 1% 9% 25% 35% 24% 6%
98 YANAMANDRA Sidhansh 2% 12% 31% 34% 17% 4% -
99 RIGGINS Joshua 1% 8% 29% 40% 21% 2%
100 ALABI Tobi 16% 40% 32% 11% 1% -
101 ELHUSSEINI Dylan - 1% 10% 30% 37% 19% 3%
102 KRZYSIAK David F. 1% 10% 27% 34% 21% 6% 1%
103 NALLAMSHETTY Ayan 3% 18% 34% 29% 12% 3% -
104 JU Hanul 2% 11% 30% 35% 18% 4% -
105 HU Robert J. - 3% 15% 31% 31% 15% 3%
106 BAZHENOV Anthony 1% 6% 20% 34% 28% 11% 1%
107 FU Leon - - 2% 9% 27% 39% 23%
108 IARIKOV Nicholas - 2% 10% 26% 35% 22% 5%
109 SANTOS Francisco M. 1% 9% 30% 37% 19% 4% -
109 ZHAO Zidong 1% 9% 26% 35% 22% 6% 1%
111 ZAYDMAN Ethan - 3% 13% 30% 33% 17% 3%
112 GLENNON Sebastian J. - 2% 14% 34% 35% 14% 1%
113 KIM Jayden 2% 13% 29% 32% 18% 5% 1%
113 LIU Adam 4% 21% 36% 27% 10% 2% -
113 VODOVOZOV Denis 4% 20% 35% 28% 11% 2% -
116 KOYFMAN Benjamin - 4% 17% 33% 31% 13% 2%
117 ELHUSSEINI Kyle 1% 9% 25% 33% 22% 7% 1%
118 CHOI Kaiden I. - 1% 6% 21% 36% 29% 8%
119 PARK Nicholas - 2% 10% 27% 36% 21% 4%
120 CHEN Zhengyang (Allen) - 5% 20% 35% 29% 10% 1%
121 MODANLOU Navid 8% 28% 36% 21% 6% 1% -
122 ALI Farhan 1% 9% 32% 38% 17% 3% -
123 DALCOURT-GUILLOTTE Léonard 2% 12% 30% 33% 18% 5% -
124 HUANG Kenneth 13% 33% 33% 16% 4% 1% -
125 SETO Jing 3% 16% 32% 31% 15% 3% -
126 MIZRAHI Michael 1% 13% 33% 33% 16% 3% -
127 GOMEZ NG Juan Jose 6% 26% 37% 23% 7% 1% -
128 ERLIKHMAN Adrian 8% 27% 34% 22% 7% 1% -
129 ROMERO KURI Carlos Alexander - 1% 5% 20% 37% 29% 8%
130 LI Zachary 1% 7% 24% 35% 25% 8% 1%
131 ZIEGLER John 2% 15% 31% 31% 16% 4% -
132 REPIC Oliver 6% 28% 37% 22% 6% 1% -
133 LIDSKY Phineas 21% 39% 28% 10% 2% - -
133 CARDENAS Lucas 1% 10% 28% 35% 20% 5% -
135 LOISEAU Oscar 9% 29% 36% 21% 6% 1% -
136 BARG Jonathan - 2% 13% 31% 34% 17% 2%
137 LEE Jayden J. 2% 18% 36% 30% 12% 2% -
138 LEE JoonWon 1% 5% 19% 34% 29% 11% 1%
139 SANTOS Antonio K. 4% 20% 34% 28% 12% 2% -
140 WANG Clayton - 1% 5% 21% 37% 29% 8%
141 RUSSELL James 4% 24% 36% 25% 9% 2% -
142 CHIN Dylan A. - 2% 14% 34% 34% 14% 1%
143 KIM Teo 11% 34% 35% 16% 4% - -
144 SONG Troy - 10% 30% 35% 19% 5% -
145 LESCURE Dimitri 1% 12% 32% 34% 17% 4% -
146 FANG Hanning - 4% 17% 35% 31% 11% 1%
147 YANG haoxuan 2% 12% 28% 32% 19% 5% 1%
148 XIE Steven 4% 19% 33% 29% 13% 3% -
149 CARNALL Hunter 6% 30% 37% 20% 5% 1% -
150 VUILLEMIN Gregoire 7% 26% 37% 23% 7% 1% -
151 WANG justin 1% 8% 25% 34% 24% 8% 1%
152 ATKINS Levi H. 2% 14% 33% 33% 15% 3% -
152 KIM Joshua 14% 36% 33% 14% 3% - -
154 BORISENKO Samuel 1% 7% 23% 36% 25% 7% 1%
154 HOWARD Paolo 10% 32% 35% 18% 4% - -
156 LIU Josh 2% 16% 34% 31% 14% 3% -
157 TIMEK Jan 41% 44% 14% 2% - - -
158 EMDEN André - 2% 9% 26% 36% 23% 5%
159 LAI Boden 1% 7% 23% 34% 26% 9% 1%
160 PETROVICH Alexandar 8% 35% 38% 16% 3% - -
161 DECKER Hunter 15% 37% 32% 13% 3% - -
162 LU Ivan - 1% 5% 18% 34% 31% 11%
163 TIKHONOV Iliya - - 4% 18% 36% 32% 10%
164 LEE DoWon 8% 34% 38% 16% 3% - -
164 YU Samuel 31% 41% 22% 6% 1% - -
166 ZHU Eric - 4% 21% 38% 28% 8% 1%
167 PETROW Zoryan 24% 42% 26% 7% 1% -
168 LIU Yikun - 1% 10% 30% 37% 18% 3%
169 MAZAHERI Fletcher 5% 29% 40% 21% 5% - -
170 FAN Jackson - 3% 14% 31% 34% 16% 2%
171 YU Austin - 5% 19% 34% 29% 11% 2%
172 DAN Rex 2% 11% 30% 34% 19% 5% -
173 SIYANKO Joshua - 6% 22% 34% 26% 10% 1%
174 HERNANDEZ Cole F. 5% 23% 37% 26% 8% 1% -
175 HULL Liam 2% 13% 31% 32% 17% 4% -
175 JIANG ryan - 5% 21% 35% 27% 9% 1%
177 DINKINS Adam 4% 24% 39% 25% 7% 1% -
178 LEE Aiden 1% 9% 27% 35% 22% 6% -
178 SINHA Zaan - 3% 18% 37% 31% 9% 1%
178 LIN Kason 1% 8% 23% 33% 25% 9% 1%
181 GAITHER Christopher W. - 5% 23% 39% 26% 6% -
182 JUNG WonJoon 14% 35% 33% 15% 3% - -
183 KIM Alexander 9% 30% 36% 19% 5% - -
184 SHEN Jiayi 16% 38% 32% 12% 2% - -
185 ZHANG Roland 2% 20% 37% 28% 10% 2% -
186 PALLADINO Ben T. 2% 18% 37% 30% 11% 2% -
187 CHUNG Andrew 4% 22% 37% 27% 9% 1% -
188 PENG Yue 13% 34% 34% 15% 3% - -
189 GUO Lucas 47% 39% 12% 2% - - -
190 BARTELS Marc 1% 9% 31% 37% 18% 4% -
191 MIAO KUNQI - 6% 24% 37% 24% 7% 1%
192 PAN Anthony 22% 47% 25% 5% - - -
193 SIM Ian 7% 34% 39% 17% 3% - -
194 PATEL Kushal 3% 15% 31% 31% 16% 4% -
195 PAN Tristan 1% 9% 25% 34% 23% 7% 1%
196 ORESKOVIC Olivier 49% 40% 10% 1% - - -
197 DHAL Leon 4% 22% 37% 27% 9% 1% -
198 TSE Maxwell 4% 20% 34% 28% 12% 2% -
199 LIU Yueri 1% 19% 38% 30% 11% 2% -
200 LI Tristan 19% 40% 30% 10% 2% - -
200 WANG Aiden 12% 34% 35% 16% 3% - -
202 PARKER Isaiah - 5% 22% 35% 27% 9% 1%
203 MORIN-JIANG Jake 7% 27% 37% 22% 6% 1% -
204 HEADRICK Jack 21% 39% 28% 10% 2% - -
205 CHENG Trevor 27% 40% 24% 7% 1% - -
205 HERNÁNDEZ Leandros 1% 8% 25% 35% 24% 7% 1%
207 ZAMORA Oscar 47% 39% 12% 2% - - -
207 MASSE Jack 41% 40% 16% 3% - - -
209 WU Colin 2% 19% 38% 29% 10% 1% -
209 ZHOU Austin 20% 40% 29% 10% 2% - -
209 ZOGRAFOS Nicholas 16% 46% 30% 8% 1% - -
212 HU Lucas 9% 28% 34% 21% 7% 1% -
213 MULDOON Thomas 31% 42% 21% 5% 1% - -
214 JONES Reilly 1% 11% 32% 36% 16% 3% -
215 WU Alistair 9% 30% 36% 20% 5% 1% -
216 CHHU Allen 24% 41% 26% 8% 1% - -
217 LEE Benjamin 53% 36% 10% 1% - - -
217 ROCAN Felix - 6% 24% 36% 25% 7% 1%
219 LEE Aiden 24% 43% 26% 6% 1% - -
220 OSBORN Hunter 3% 18% 37% 31% 10% 1% -
221 CHAI Ethan 2% 14% 33% 33% 15% 3% -
222 CHEN Bowen 35% 42% 19% 4% - - -
223 KE Sebastian 35% 41% 19% 4% - - -
224 LEE Wyatt 60% 33% 6% 1% - - -
225 ARMSTRONG TyLee 35% 41% 19% 4% 1% - -
226 CLICK Tristan 2% 12% 29% 34% 18% 4% -
227 MUGA Aiden 3% 20% 39% 30% 8% -
228 SAUNIER Cameron 3% 16% 32% 31% 15% 3% -
228 LEE Inwoo 2% 14% 32% 33% 16% 3% -
230 CHEN Luowen 49% 38% 11% 2% - - -
231 PAL Ian K. 5% 23% 37% 26% 8% 1% -
231 MEHROTRA Neel 11% 33% 36% 17% 4% - -
233 RIM Eugene 30% 41% 22% 6% 1% - -
234 VINOTH Aaron 2% 18% 39% 30% 10% 1% -
235 NALLICHERI Ayaan 59% 33% 7% 1% - - -
235 SAVORETTI Pietro 3% 15% 32% 32% 15% 3% -
235 EMERSON Zachary 59% 34% 7% 1% - - -
235 MEN Junda 2% 11% 29% 34% 19% 5% -
235 ALAM Rajan 72% 24% 3% - - - -
240 COVANI Fabrizio 76% 21% 2% - - - -
241 PEREZ Daniel 65% 30% 5% - - - -
242 PATEL Jayen 49% 38% 11% 2% - - -
243 KIM Remington 47% 40% 12% 1% - - -
244 GADBURY Logan 88% 12% 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.