USA Fencing National Championships & July Challenge

Y-14 Men's Épée

Thursday, July 4, 2019 at 8:00 AM

Columbus, OH - 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 MA Ark - - - - 3% 24% 72%
2 IYOKI Kent - - - 1% 10% 37% 51%
3 LAWSON Henry A. - - - 1% 7% 33% 59%
3 KIM Juni C. - - - 2% 16% 43% 39%
5 LIVERANT Skyler J. - - - - 4% 27% 68%
6 MCGAW Julian E. - - - 1% 7% 32% 60%
7 LEE Alexander G. - - 3% 12% 31% 37% 17%
8 GYURE Brayden H. - - 3% 15% 34% 35% 13%
9 WHELAN Thomas (Tony) - - 1% 5% 20% 41% 34%
10 GRAY Sterling B. - - - 2% 14% 40% 43%
10 BRISLAWN Reilly R. - - 3% 18% 39% 32% 8%
12 SCHEMBRI MCCORD Kruz T. - - 1% 5% 23% 43% 28%
13 FRAY Alexander - 1% 8% 23% 35% 26% 7%
14 LIU Alexander - - 3% 15% 32% 35% 15%
15 PARK Ian C. - - 3% 13% 30% 36% 18%
16 MCCOMISKEY Aiden J. 2% 14% 36% 34% 13% 2%
17 DAO Matthew M. - - - 2% 11% 38% 49%
18 LEI Jacob - 1% 7% 23% 37% 27% 5%
19 JAYENDRA Chandrashekar - - 2% 11% 30% 39% 18%
19 ROBINSON Riley - - 1% 7% 26% 42% 24%
21 GARCIA-ROGERS Lucas H. - - - 3% 16% 41% 39%
22 MOSES Alexander - 1% 7% 22% 35% 27% 8%
23 TOWNSEND Avery S. - - - - 4% 28% 68%
24 SHAH S Ayush - 3% 14% 31% 33% 16% 3%
25 FELDMAN Jaemin - - 4% 16% 33% 33% 13%
26 USHER Alexander - 1% 9% 26% 36% 23% 5%
27 PAVLENISHVILI David G. - - - 2% 12% 38% 47%
28 LYUTIKOV Yegor - 3% 12% 27% 33% 20% 5%
29 ZHU Max - 3% 18% 39% 32% 7%
30 OH Matthew M. - - 2% 13% 33% 38% 14%
31 GANA Jr Jorge M. - 1% 9% 27% 36% 22% 5%
32 LEE Noah - 1% 5% 18% 34% 32% 11%
33 INSLER Ethan C. - 3% 15% 36% 34% 11%
34 LIN Ryan - - 1% 6% 23% 41% 28%
35 NORBUTAS Jackson S. - - - 3% 15% 40% 42%
35 MORSE Tyler - 2% 10% 25% 34% 23% 6%
37 IMREK Samuel A. - - 3% 13% 30% 36% 17%
38 CHO Tyler H. - - 3% 16% 37% 34% 10%
39 KANG Philip F. 1% 11% 29% 35% 19% 5% -
40 JEON Alexander E. - - 2% 11% 29% 38% 20%
41 MOHEBI Saam - 1% 10% 28% 36% 20% 4%
42 PRASAD Ankith - - - 3% 18% 45% 34%
43 SILVERS Noah E. - - 3% 12% 31% 37% 17%
44 LIU Jack 4% 19% 33% 28% 12% 2% -
45 ROBINSON Keegan B. - - - 3% 15% 40% 42%
46 THAYER Bryce - - - 1% 7% 33% 60%
46 GREEN Ummi - 1% 7% 23% 38% 26% 5%
48 SHUR Yakov C. - 1% 4% 17% 34% 33% 12%
49 GORIUNOV IVAN A. - - 1% 9% 27% 40% 23%
50 JAMES Samuel - 2% 11% 26% 33% 21% 5%
51 LIEF Isaac R. - 1% 10% 29% 38% 19% 2%
52 MATTIS George 1% 6% 21% 34% 27% 9% 1%
53 VAYSBUKH Konstantin - 3% 13% 29% 34% 18% 3%
54 COOPER Rowan 1% 6% 20% 34% 28% 11% 1%
55 MCLOUDREY Callan E. 1% 5% 18% 32% 29% 13% 2%
56 HENSAL Nicolas A. 2% 14% 34% 34% 14% 2%
57 BUHEIS Alexander I. 5% 22% 36% 26% 9% 1% -
58 HANRATTY Liam 3% 15% 31% 31% 16% 4% -
59 LIANG Aaron - 2% 12% 33% 35% 16% 3%
60 RHYU Kozmo - 1% 7% 22% 34% 27% 9%
61 WONG Daniel 2% 13% 31% 33% 17% 4% -
62 DENNIS Ethan 3% 16% 36% 31% 12% 2% -
63 JACKSON James 1% 10% 28% 35% 20% 5% 1%
64 RASMUSSEN Jack 24% 43% 26% 6% 1% - -
65 LEONE Charles D. - 4% 15% 30% 31% 16% 3%
66 ODEN Isaac M. 1% 6% 20% 33% 28% 11% 2%
67 JIN Nicholas - 2% 11% 31% 39% 17%
68 DUONG Enoch 1% 9% 30% 37% 19% 4% -
69 JAIN Aditya - 1% 6% 20% 36% 29% 8%
70 LEE Daniel Y. - - 1% 11% 40% 47%
71 SINGHA Orion - 2% 12% 32% 38% 16%
72 GASIOROWSKI Devin G. - 4% 17% 33% 30% 13% 2%
73 PARKER Riley D. - 1% 8% 25% 36% 24% 6%
74 MCKEEVER Luca 1% 6% 21% 35% 28% 9% 1%
75 MANZ Hamilton R. - 1% 7% 26% 39% 23% 4%
76 JANG Elliot 2% 12% 29% 33% 18% 5% 1%
77 LATIF IMRAN ZAKARIYYA - 1% 5% 18% 34% 32% 12%
78 LEHR William D. - - 2% 9% 26% 39% 24%
79 LIOZNYANSKY Simon - - 1% 8% 26% 41% 24%
79 ZHOU Stanley Q. 2% 14% 31% 32% 17% 4% -
79 ZHAO Luhan 12% 34% 34% 16% 4% - -
82 HOLDERNESS Landon - 2% 11% 26% 33% 22% 6%
83 GOLDMAN Rami 1% 6% 21% 33% 27% 11% 2%
84 MUGA Boris 1% 8% 23% 33% 24% 9% 1%
85 PHILLIPS Jeffrey T. - - 3% 15% 35% 35% 11%
85 AHN Gus 3% 16% 31% 30% 15% 4% -
87 PICK Ian 2% 13% 32% 33% 16% 3% -
88 KUDRIAVTCEV Sergei - - 3% 16% 36% 34% 10%
89 GARRETT Samuel - 5% 18% 34% 30% 12% 1%
90 POPOVICI Andrew E. 1% 7% 22% 33% 26% 10% 1%
91 CHAWLA Armaan - 2% 11% 31% 37% 17% 1%
91 LANGTON Sawyer 1% 8% 23% 33% 25% 9% 1%
93 KROPP Jack 2% 13% 31% 34% 17% 3%
94 VAN EIKEMA HOMMES Neil B. - 1% 10% 32% 40% 17%
95 DEKERMANJI Christopher - 2% 14% 36% 36% 12%
96 DYER Ian E. 15% 39% 33% 12% 2% -
97 KOUSTIKOV Max - 1% 8% 26% 38% 23% 4%
98 DYER Carson C. 7% 33% 38% 18% 4% - -
99 NIEBERGALL Colin G. - - 1% 7% 24% 40% 27%
99 LIU Felix 5% 22% 37% 27% 8% 1% -
99 SCHULTZ Rowan 1% 10% 28% 35% 21% 5% -
102 BUYANOV Nikita V. 1% 9% 25% 34% 23% 7% 1%
103 CHEN Eric 1% 9% 25% 33% 22% 7% 1%
103 HART Jackson 2% 13% 30% 33% 18% 4% -
105 THOMAS Harris 5% 21% 35% 27% 10% 2% -
106 FLECKENSTEIN Benjamin T. - 1% 9% 26% 36% 22% 5%
107 GILLISON Edward L. 3% 18% 37% 30% 11% 2% -
108 MATEI Daniel 8% 27% 35% 22% 7% 1% -
109 JANKOWICH Alexander E. 36% 43% 17% 3% - - -
110 LEVY Jeffrey M. 1% 8% 22% 32% 25% 10% 2%
111 KOFROTH Zachary R. - 3% 14% 33% 34% 14% 2%
112 ALIYEV Telman 1% 10% 28% 35% 20% 5% -
113 STEVENS George 1% 9% 26% 34% 22% 6% -
114 VANDERLINDEN Brian - 5% 21% 37% 28% 8% -
115 NESTEROV Andrew E. 2% 16% 38% 31% 11% 2% -
116 PARK Elliot 1% 9% 27% 36% 21% 5% -
117 PANAYOTOV Alexander 2% 13% 31% 33% 17% 4% -
118 CHUNG Thomas 1% 9% 25% 35% 23% 6% -
119 SMITH Zane A. 1% 12% 30% 34% 18% 5% -
120 SHARMA Sanil - 2% 11% 31% 37% 17% 2%
121 WU Jason 7% 26% 34% 23% 8% 1% -
121 ALVAREZ Ian T. - 3% 16% 34% 32% 13% 1%
123 YOUNG Peyton E. - 2% 11% 27% 34% 21% 5%
124 POZOVSKIY Mitchell R. 3% 17% 33% 30% 14% 3% -
125 SHAH Maximilian A. 3% 17% 35% 31% 12% 2% -
126 GOHEL Dayus T. - 1% 9% 26% 37% 23% 4%
127 LANGENDERFER Braeden 12% 31% 33% 18% 5% 1% -
128 THOMPSON Chester - 5% 24% 39% 25% 6% 1%
129 OH Jonathan - 1% 7% 24% 36% 26% 7%
130 COLLYMORE Spencer T. - 1% 10% 30% 41% 18%
131 GREEN Jabreel - - 1% 9% 27% 41% 22%
132 BANKULLA Nihal R. - 3% 14% 31% 33% 16% 3%
133 AU Marcus J. 1% 11% 29% 35% 20% 4% -
133 LEE Shwan - 4% 16% 32% 31% 14% 2%
135 LOGUE Ethan D. - - 1% 8% 28% 43% 20%
136 WU Byron - 2% 12% 29% 36% 19% 2%
137 KOTCHEN Peter Trammell 12% 32% 34% 18% 5% 1% -
138 FERREIRA Noah J. - 1% 7% 23% 36% 27% 6%
139 GOLDFINE Ian J. - - 4% 16% 34% 34% 12%
140 HUSSAIN Kamran 3% 17% 32% 30% 14% 3% -
141 SHIV Rishi 1% 5% 18% 32% 29% 13% 2%
142 LIN Kyran - 2% 11% 29% 37% 20% 2%
143 HERBEL Micah O. 2% 12% 31% 35% 17% 3% -
143 JUN Jaywu - 3% 15% 32% 32% 15% 2%
145 SOOMRO Adam A. - 2% 12% 29% 34% 19% 4%
146 SIVAKUMAR Ajit 3% 18% 34% 30% 13% 2% -
147 ALFARO Justus 1% 10% 26% 33% 22% 7% 1%
147 TANG William 9% 28% 34% 21% 7% 1% -
149 SENNEWALD James J. 1% 6% 20% 34% 28% 10% 1%
150 LUCERO-OLSON Aydin 5% 21% 34% 27% 11% 2% -
151 KIM Benjamin I. - 5% 20% 34% 29% 11% 1%
152 LONCAR Luka E. - 2% 10% 27% 36% 21% 4%
153 KING Cameron 1% 7% 24% 35% 25% 8% 1%
154 DIXON Thomas 4% 22% 36% 27% 10% 2% -
155 CARRIER Gabriel A. 1% 9% 28% 36% 20% 5% -
156 MIN MARCUS 5% 21% 34% 27% 11% 2% -
157 GRAYSON Shane W. - 2% 11% 27% 34% 21% 5%
158 GREGORY Nicholas 2% 13% 30% 33% 18% 4% -
159 HE Lawrence 3% 19% 36% 29% 11% 2% -
160 GATZA Logan - 2% 14% 34% 34% 14% 2%
160 JEYOON Ryan S. - 3% 13% 31% 34% 16% 2%
160 ZHANG Alec 1% 10% 27% 33% 21% 7% 1%
160 NICHOLS JR Cortez 3% 24% 40% 26% 7% 1% -
164 AGAON Shawn - 2% 13% 30% 33% 18% 4%
165 MARIN Lucas 21% 52% 22% 4% - - -
166 POPOVICI Maximilian P. - - 2% 10% 31% 40% 18%
167 DIECK Logan O. - 5% 18% 32% 30% 13% 2%
168 PARNAS Ely - 6% 23% 37% 26% 7% 1%
169 PHAM Ian Q. 9% 29% 35% 20% 6% 1% -
170 SCHLEUDER Aidan 1% 5% 18% 31% 29% 14% 2%
170 DINKINS Shuayb 3% 17% 33% 31% 14% 3% -
170 DIBENERDINI Aidan 3% 16% 32% 31% 14% 3% -
173 BEZRODNOV Alexander - 1% 6% 21% 35% 28% 8%
174 SMITH Jackson - 3% 14% 31% 33% 16% 3%
175 HWANG Samuel W. - - 1% 9% 29% 40% 20%
176 SONN Rohan 4% 19% 33% 29% 12% 2% -
177 MACARTY Jordan T. - 1% 7% 23% 35% 26% 7%
178 AMMON Blue 2% 13% 34% 34% 14% 3% -
179 KOPPE Alexander 8% 35% 37% 16% 3% - -
180 LEE Hudson 8% 27% 35% 22% 7% 1% -
181 HAN David 18% 37% 30% 12% 3% - -
182 KOKENGE Reid 4% 20% 34% 28% 12% 2% -
183 HILBERT Gabriel E. 25% 42% 25% 7% 1% - -
184 ZHANG Andrew 3% 15% 34% 33% 14% 2%
185 REDHEAD Nolan P. 33% 42% 20% 4% - -
186 YOUNG Jr Colby 16% 37% 32% 13% 2% -
187 GULLO Kenji Y. 7% 36% 38% 16% 3% -
188 DILLE Jackson K. 27% 44% 24% 5% - -
189 MUN Chur-Yong 12% 37% 34% 14% 3% - -
190 COFFEY Jacob 1% 12% 33% 35% 16% 3% -
191 TUCKER Henry M. 4% 18% 32% 28% 13% 3% -
192 CASTLE Aaron - 5% 17% 32% 30% 14% 2%
193 KIM Darius H. 3% 15% 31% 31% 16% 4% -
194 JAAFAR Omar 18% 39% 30% 11% 2% - -
195 WONG Nathan 1% 7% 22% 35% 27% 8% -
196 YAVOROVSKIY Joshua I. 8% 26% 35% 23% 8% 1% -
197 SIDDIQUI HUMZA K. - 5% 17% 32% 30% 14% 2%
198 WANG DEVON 3% 18% 35% 29% 12% 2% -
199 BORODITSKY Ethan - 1% 6% 20% 36% 30% 7%
200 SENNEWALD Frederick A. 1% 7% 23% 35% 25% 8% 1%
200 WOZNIAK Ignacy 4% 20% 35% 28% 11% 2% -
200 RICHARD Owen - 4% 15% 31% 32% 16% 3%
203 NOEL Sebastien A. - 3% 14% 31% 34% 16% 2%
204 HA Daniel 18% 38% 30% 11% 2% - -
205 CHOI Isaac - 4% 19% 35% 30% 10% 1%
206 UZGIRIS Kovas - 3% 14% 30% 34% 17% 2%
206 SHERWOOD Dominic - 1% 9% 27% 39% 21% 2%
208 NORTON Theo B. 14% 33% 32% 16% 4% 1% -
209 GALIS Nicholas 5% 20% 33% 27% 12% 3% -
210 KIM Edward J. - 2% 11% 29% 35% 18% 3%
211 AKOCS Ethan 43% 40% 14% 3% - - -
212 TUMIBAY Noah C. 1% 8% 27% 36% 22% 5% -
212 MILLER Lance W. 6% 23% 36% 25% 9% 1% -
214 MURPHY Thomas P. 11% 37% 38% 13% 2% - -
215 MISHIMA Torata 6% 27% 37% 23% 7% 1% -
216 WANG Eric S 5% 22% 35% 26% 10% 2% -
217 BEZRODNOV Michael 2% 12% 28% 32% 19% 6% 1%
218 BINDAS Odinn A. 17% 39% 31% 11% 2% - -
218 STEWART Charlie 24% 42% 26% 7% 1% - -
220 SCHARF Ryan 5% 26% 37% 23% 7% 1% -
221 IMREK Elijah S. 16% 40% 32% 10% 1% - -
222 LEVCHOOK Thomas 14% 35% 33% 15% 3% - -
223 DU Drake 1% 6% 20% 33% 28% 11% 1%
224 GOUVEIA Conall 13% 35% 34% 15% 3% - -
225 NIKOLOV Peter 12% 35% 34% 15% 3% - -
226 BAKER Toby 30% 45% 21% 4% - - -
227 NGUYEN Tate 24% 40% 26% 8% 1% - -
228 TAROLLI Alexander 16% 38% 32% 12% 2% - -
229 ZIEBART Jeremy J. 3% 17% 34% 30% 13% 2% -
230 JIN daniel - 5% 22% 40% 27% 5%
231 CAO Albert 16% 43% 31% 9% 1% -
232 COLLINS Damase 7% 29% 40% 20% 4% -
233 CLICK Aiden - 1% 9% 29% 41% 21%
234 BAGCHI Aritra 10% 31% 36% 19% 4% -
235 BHARGAV Siddharth 42% 43% 14% 2% - -
236 AGAON Ethan - 1% 6% 22% 37% 28% 7%
237 KHANNA Nikhil - 2% 14% 32% 33% 16% 3%
238 KNOEPFFLER Alex - 1% 9% 26% 37% 23% 3%
238 KAGAN Spencer E. 8% 28% 36% 21% 6% 1% -
238 DRIBIN Ezra - 3% 16% 35% 33% 12% 1%
241 ZHOU Jiasheng 4% 19% 33% 29% 13% 3% -
242 GU Brian 13% 40% 33% 12% 2% - -
243 LI Benjamin 6% 23% 34% 25% 10% 2% -
244 BUROVSKY Maxim - 4% 15% 31% 32% 16% 3%
245 LOU Kevin 8% 28% 36% 22% 6% 1% -
246 ILYAS Zakariya 7% 24% 34% 24% 9% 2% -
247 MCALISTER Ian 16% 36% 31% 13% 3% - -
248 CHATZIKALFAS Dimitris E. 6% 23% 35% 26% 9% 1% -
249 BLOESCH Philip E. 26% 40% 25% 8% 1% - -
250 STRAUSS Luke 9% 28% 34% 21% 7% 1% -
251 BENATER Ethan 2% 12% 30% 34% 18% 4% -
252 BARTCH Ethan L. 17% 43% 30% 9% 1% - -
253 SIMMONS Tristan A. 3% 22% 39% 27% 8% 1% -
254 CHAMBLISS Logan C. 6% 24% 34% 25% 9% 2% -
255 KOBI Samuel 6% 25% 37% 24% 7% 1%
256 MICKO Fritz K. 12% 33% 34% 17% 4% - -
257 WU Joseph 31% 41% 22% 6% 1% - -
258 STENNIS Brendan 15% 35% 32% 14% 3% - -
259 PARK Frederick 6% 24% 36% 25% 9% 1% -
260 SEEFELDT William Henry C. - 5% 20% 34% 28% 11% 1%
261 BISEN Aryaman 25% 45% 24% 5% 1% - -
262 CHOI Mason 18% 41% 30% 10% 2% - -
263 PRYOR Jake 14% 35% 32% 15% 4% - -
264 O'DONNELL Benjamin 1% 5% 19% 33% 28% 12% 2%
265 FUSSMAN Yuval 43% 40% 14% 2% - - -
266 DIVERIS Joseph 23% 39% 26% 9% 2% - -
267 BAZHENOV Anthony 4% 18% 33% 30% 14% 3% -
267 ROMERO KURI Carlos Alexander 53% 36% 9% 1% - - -
269 GRZYBICKI Kaj 4% 23% 37% 26% 9% 2% -
270 CAO Brad 1% 11% 30% 34% 18% 5% -
271 MCCRACKEN Dylan 4% 19% 34% 29% 12% 2% -
272 ISRAEL Reason E. 39% 41% 16% 3% - - -
273 RIPLEY ian 18% 38% 30% 11% 2% - -
274 BOWDEN Ian 54% 36% 9% 1% - - -
274 TREBON Hayden 14% 37% 33% 13% 3% - -
274 LIU Andrew 3% 14% 30% 32% 17% 4% -
277 THOMAS HRZIC Nico D. 30% 42% 22% 5% 1% - -
278 TRUJILLO Andres 28% 40% 24% 7% 1% - -
279 HURDAL Leif G. 12% 32% 33% 17% 4% - -
280 CHEN Matthew 21% 42% 28% 8% 1% - -
281 MURDOCH ROY Charlie 19% 40% 29% 10% 2% - -
282 EDWARDS Strummer 15% 38% 33% 12% 2% - -
283 SCEROLER Anslee 20% 39% 29% 11% 2% - -

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.