January NAC

Junior Men's Épée

Monday, January 6, 2020 at 8:00 AM

Charlotte, NC - Charlotte, NC, 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 HANSEN Jonas B. - - - 3% 17% 41% 39%
2 GRAMS Steven - 1% 5% 16% 32% 33% 14%
3 HERBST Isaac L. - - - 2% 15% 41% 41%
3 KAMBESELES Peter G. - 1% 5% 20% 36% 30% 8%
5 WEISS Miles J. - - - 4% 21% 43% 31%
6 HADDAD Justin R. - - - 1% 10% 36% 53%
7 LEIGH David A. - 3% 15% 33% 33% 14% 2%
8 KUSHNERIK Ethan - 2% 9% 24% 34% 24% 7%
9 CHMUT Anton - - 3% 12% 30% 37% 18%
10 PISKOVATSKOV Jonathan (Yonik) - - - 1% 10% 37% 52%
11 ZHAO Howard - - 2% 9% 28% 41% 21%
12 TAFOYA Devin D. - - 1% 5% 21% 42% 32%
13 LAWSON Nicholas W. - - - 2% 12% 38% 49%
14 LIVERANT Skyler J. - - - 3% 17% 43% 37%
15 SPITERI Gareth J. - 3% 17% 38% 33% 9%
16 PARK Thomas Junseo - 3% 15% 32% 32% 15% 3%
17 SILVERS Noah E. - - 2% 13% 33% 37% 14%
18 GRIFFITHS Ryan - - - 4% 20% 42% 33%
19 SZAPARY Tristan B. - - - 2% 13% 40% 45%
20 ZHENG Hagen - - 9% 30% 38% 19% 3%
21 ROGAK Benjamin A. - 3% 13% 31% 34% 17% 3%
22 KIMATIAN Harrison J. - - 1% 7% 24% 41% 26%
23 FEINBERG Gabriel M. - - 1% 6% 23% 42% 28%
24 GAIDAR Daniel B. - 1% 9% 30% 41% 19%
25 JEON Alexander E. 1% 10% 25% 32% 23% 8% 1%
26 LAVENSTEIN Kinley V. 2% 11% 27% 33% 20% 6% 1%
27 FRANK Timmy - - 2% 12% 30% 37% 18%
28 KRAVIT Connor B. - 1% 9% 28% 38% 21% 4%
29 RAYLE Evan K. - 1% 6% 20% 35% 29% 9%
30 SANTOS Cameron A. - - 4% 17% 35% 32% 11%
31 KANG Michael H. - 4% 20% 37% 28% 9% 1%
32 ZHANG Joshua - - 2% 9% 28% 40% 21%
33 TEMIRYAEV Alan L. - - 1% 6% 24% 44% 25%
34 POLKOVSKY Dylan S. - 1% 8% 25% 37% 24% 6%
35 BISSINGER Michael P. - - 1% 8% 28% 42% 22%
36 LAWSON Henry A. - - 3% 18% 43% 35%
37 ZHU Wilson - 1% 6% 20% 34% 30% 10%
38 SHENG Patrick Y. - 1% 10% 31% 37% 17% 3%
39 YU Colin - - 2% 12% 31% 37% 16%
40 DOLGONOS Mark - - 3% 15% 33% 35% 13%
41 SHUGART Henry R. - - 5% 19% 36% 31% 9%
42 HUGHES Levi H. - 4% 15% 30% 31% 16% 3%
43 KIM Juni C. - - 1% 10% 30% 41% 19%
44 LAWLER Aidan 3% 18% 34% 30% 12% 2% -
45 MATVEEV Valentin S. - - 2% 16% 42% 39%
46 CANDELA Nicholas - - 3% 14% 35% 36% 12%
47 WHELAN Thomas (Tony) - 2% 11% 26% 33% 22% 6%
48 VERMEULE Spencer - - 3% 13% 31% 37% 17%
49 KOKENGE Clark - 4% 18% 35% 30% 11% 1%
49 CHA Russell W. - 1% 9% 27% 37% 22% 5%
49 RHYU Kozmo 1% 7% 23% 35% 26% 8% 1%
52 CHO Tyler H. - 4% 17% 33% 31% 13% 2%
52 TAE William G. 2% 11% 28% 34% 19% 5% -
54 SPIER Julian H. - 1% 5% 20% 38% 30% 6%
55 GUO Austin S. - 2% 13% 30% 34% 17% 3%
56 PROCTOR Oliver L. - 4% 20% 39% 30% 7%
57 YAO Michael - 2% 9% 23% 34% 25% 7%
58 RODNEY Maxwell 9% 31% 36% 19% 5% 1% -
59 RUSSANOV Boris J. - 7% 26% 37% 23% 6% -
60 KIM William M. 1% 15% 35% 32% 14% 3% -
61 RUSSANOV Dennis 2% 14% 33% 32% 15% 3% -
62 SJOSTEDT Jacob H. - - 4% 17% 36% 33% 10%
63 WALSH Kevin 5% 23% 37% 26% 8% 1% -
64 PRASAD Ankith - 3% 14% 31% 34% 16% 2%
65 MOOSEKIAN Stafford - - 2% 14% 33% 36% 15%
66 GIBSON Nowell L. - 3% 13% 28% 33% 19% 5%
66 MA Ark - - 3% 13% 31% 37% 17%
68 GRABER Andrew J. - 3% 16% 33% 32% 14% 2%
69 VAYSBERG Nathan - - 2% 12% 31% 38% 17%
70 IYOKI Kent - - 3% 13% 33% 37% 14%
71 MALYSZ Anthony J. - - 4% 16% 34% 34% 12%
72 MIELE Benjamin - 3% 13% 30% 33% 18% 4%
73 BRANDRETH Garret - 4% 23% 38% 26% 8% 1%
74 LEE Daniel Y. - 3% 16% 33% 32% 13% 2%
75 NGUYEN Ethan D. - - 1% 7% 25% 41% 26%
76 MCDERMOTT Brian - 5% 20% 35% 28% 10% 1%
77 GUI Runlin 9% 32% 38% 18% 3% -
78 LEE Aaron Y. 1% 5% 18% 31% 29% 14% 3%
78 JEONG Connor - 1% 8% 24% 37% 25% 5%
80 XU Timothy (Tingwei) - - - 4% 20% 43% 33%
81 LEE Ryan - - 3% 14% 33% 36% 15%
82 ZHOU Alan - 2% 13% 33% 35% 15% 2%
83 SMITH William K. 2% 13% 28% 31% 19% 6% 1%
84 LEI Joshua - 1% 4% 18% 35% 32% 10%
85 MANCINI Christopher M. - 3% 15% 32% 32% 14% 2%
86 MOTIR Lucas D. - 4% 18% 33% 30% 12% 2%
87 CAPELLUA Tommaso 8% 28% 36% 22% 6% 1% -
88 RINEHART Conner M. 2% 11% 28% 34% 20% 5% 1%
89 CAMPBELL Daniel R. - - 2% 11% 31% 38% 18%
89 VINNITCHOUK Theodore (Ted) - - - 3% 16% 41% 40%
91 WEI Zikun - 1% 7% 22% 37% 27% 6%
91 TUCKER Owen J. 21% 39% 28% 10% 2% - -
93 ZAFFT Maximo S. - 3% 15% 31% 32% 15% 3%
93 XIAN Ryan - 4% 30% 40% 21% 5% -
95 HONDOR Robert D. - - 2% 12% 34% 40% 13%
96 KUMAR Anitya - 3% 15% 32% 33% 15% 2%
97 LIN Ryan - 4% 18% 34% 31% 12% 2%
98 WESTEN Zachary (Zack) C. - 5% 20% 35% 28% 10% 1%
99 CORBAN Michael Y. - 2% 11% 32% 38% 17%
100 MALIASSOV Nikita S. - 5% 22% 39% 28% 7%
101 YI Kyle 4% 22% 38% 27% 8% 1%
102 DAVIES Morgan 1% 7% 22% 34% 26% 9% 1%
103 SUICO Zachary Emanuel O. - 2% 15% 36% 33% 12% 1%
104 XIAN Riley - 4% 20% 35% 29% 11% 1%
105 BODON Michele I. - 2% 12% 30% 35% 18% 3%
106 COMBS Colson 1% 10% 28% 34% 20% 5% -
107 HAN Matthew - - 4% 20% 38% 30% 7%
108 LIANG Aaron - 4% 22% 38% 27% 8% 1%
109 MARAKOV Allen B. - 1% 5% 17% 33% 32% 12%
109 STOREY Joseph P. - 3% 16% 34% 31% 13% 2%
111 KEHOE James E. 1% 7% 24% 35% 25% 8% 1%
112 O'HARA Keegan J. - 1% 11% 30% 36% 19% 4%
113 MOSES Alexander - 4% 18% 34% 31% 12% 2%
114 PAEK Alex J. - 5% 20% 34% 28% 10% 1%
115 YOON Nathan 5% 21% 33% 26% 11% 2% -
116 XU Zitong (Evan) 3% 15% 30% 31% 16% 4% -
117 SHIN Joshua - 1% 7% 24% 37% 25% 6%
118 JAYENDRA Chandrashekar - 3% 15% 33% 34% 14% 2%
119 STUBBLEFIELD Alexander 31% 43% 21% 4% - -
120 BUTLER Tylen A. 2% 13% 32% 33% 16% 4% -
121 INSLER Gabriel C. - 2% 12% 30% 36% 18% 2%
122 LENDER David 1% 9% 26% 35% 22% 7% 1%
123 ZARETSKY Daniel A. 3% 19% 35% 29% 12% 2% -
123 CARVALHO Daniel S. 1% 14% 34% 33% 15% 3% -
125 GARCIA-ROGERS Kyle J. 2% 12% 29% 34% 19% 5% -
126 SITBON-TAYLOR Noe B. - 3% 13% 30% 34% 17% 3%
126 LEE Shwan 2% 14% 34% 32% 14% 3% -
128 MORSE Tyler 2% 15% 34% 32% 14% 3% -
129 COHEN Bennett - 4% 20% 36% 28% 10% 1%
130 HILBERT Xavier - - 5% 21% 38% 29% 7%
131 COHEN Jared E. 1% 7% 24% 35% 24% 8% 1%
132 CHARRON Jack H. 5% 33% 40% 19% 4% - -
133 KRONROD Tal 9% 33% 38% 17% 3% -
134 KUMASHI Mihir R. - - 1% 7% 26% 42% 24%
135 BEACH Nicholas 5% 22% 36% 27% 9% 1% -
136 DIXON Samuel - 8% 27% 36% 22% 6% 1%
137 GANA Jr Jorge M. 2% 16% 34% 32% 13% 2% -
138 LIU Alexander - - 6% 22% 37% 27% 7%
138 WOZNIAK Sebastian - 5% 19% 34% 29% 11% 1%
140 DAO Matthew M. - 3% 12% 28% 33% 20% 5%
141 ZHOU Alec Q. 3% 24% 41% 25% 6% 1% -
142 KUTTRUS Max D. 26% 42% 24% 7% 1% - -
143 PAOLINI Nathan R. - 3% 12% 29% 34% 18% 3%
144 MOON Ryan Y. 7% 27% 37% 23% 6% 1% -
145 MARTIN Nathan C. - 1% 8% 25% 36% 24% 6%
146 ZEFF Mati 2% 14% 33% 33% 15% 3% -
147 SALISBURY Cary 14% 39% 33% 12% 2% - -
148 SPANO Gideon S. 5% 26% 37% 23% 8% 1% -
148 SOOMRO Adam A. 5% 25% 37% 24% 8% 1% -
150 PLUMER Jack E. 2% 13% 29% 32% 18% 5% 1%
151 HORTELANO Ethan 1% 17% 36% 31% 12% 2% -
152 HU Matthew 48% 39% 12% 2% - - -
153 KIM Ethan S. 1% 6% 20% 34% 28% 10% 1%
154 KAMBESELES Jack M. - 1% 9% 31% 37% 19% 3%
155 KELSEY Ryan 5% 21% 33% 27% 11% 2% -
156 MUN Michael K. - 4% 20% 39% 29% 7%
157 BENACK Mark 4% 38% 39% 16% 3% - -
157 ROBINSON Keegan B. 1% 7% 21% 32% 26% 11% 2%
159 BEKKER Mitchel - 7% 25% 36% 24% 8% 1%
160 YUMIACO Nolan C. - 9% 30% 37% 19% 4% -
161 MUGA Boris 1% 15% 37% 32% 12% 2% -
162 JOSEPH William 19% 40% 29% 10% 2% - -
163 DOUGLAS Colin F. 20% 39% 29% 10% 2% - -
163 PAVLENISHVILI David G. - 7% 25% 35% 24% 8% 1%
165 WALSTON Michael (Kent) 47% 40% 12% 1% - - -
165 SHIN Sung (Andy) - 1% 7% 23% 36% 26% 7%
167 ZHANG Matthew 2% 19% 36% 29% 11% 2% -
168 KEMP Nicolas 4% 19% 33% 28% 12% 3% -
169 GARCIA-ROGERS Lucas H. - 2% 9% 25% 36% 23% 5%
170 FENWICK Luke A. 16% 39% 31% 11% 2% - -
171 GLAZ Nicholas S. 2% 12% 29% 33% 18% 5% -
172 SMITH Nicholas S. - 7% 25% 36% 24% 7% 1%
173 LEHR William D. 10% 29% 34% 20% 6% 1% -
174 GOLDER Will W. 15% 36% 32% 14% 3% - -
175 NOMANI Shibli D. 4% 23% 37% 26% 9% 1% -
175 WANG Kevin de-tai 5% 23% 36% 26% 9% 1% -
177 KIM Alexander 2% 12% 31% 34% 17% 4% -
177 LEE Timothy S. - 7% 25% 36% 24% 7% 1%
179 JIN Alexander 1% 11% 30% 34% 19% 5% -
180 LIU Darren 1% 11% 31% 35% 18% 4% -
181 SHOURIE Jai 10% 33% 35% 17% 4% 1% -
182 FREEMAN Daniel H. 4% 21% 37% 27% 10% 2% -
183 KIM Ethan J. - 4% 18% 34% 30% 12% 2%
184 HERMANSON David B. 3% 30% 40% 21% 5% 1% -
185 MISKELL William 78% 20% 2% - - - -
186 PICARD Christopher (Chris) W. 1% 7% 21% 32% 26% 11% 2%
187 CHILANA Savitoz (Savi) 19% 42% 30% 9% 1% -
188 SMITH Jett A. 23% 43% 27% 7% 1% -
189 BRENNAN Charles F. 30% 43% 21% 4% - -
190 ELLIS Yehia S. - 4% 19% 38% 31% 7%
191 FARQUHARSON Cole 8% 31% 38% 18% 4% -
192 PARK Jong-Eun 9% 33% 38% 17% 3% -
193 PALAZZI Giuliano 50% 42% 8% 1% - - -
194 GLECKNER Aidan 13% 35% 34% 15% 3% - -
195 STOTT Donovan R. - 9% 29% 36% 20% 5% -
196 WOZNIAK David - 3% 14% 30% 33% 17% 3%
197 GORIUNOV IVAN A. - 5% 20% 35% 29% 11% 1%
198 GARCIA Christopher W. 18% 43% 29% 8% 1% - -
198 CLICK Aiden 7% 27% 36% 22% 7% 1% -
200 PARNAS Apollo 7% 28% 36% 21% 6% 1% -
201 INSLER Ethan C. 1% 6% 23% 36% 26% 8% 1%
201 LEE Wesley 21% 38% 28% 11% 2% - -
203 ADLER Ian B. - 2% 12% 29% 34% 19% 4%
203 ATANAS Matthew M. 4% 19% 35% 29% 11% 2% -
203 GREGORY Nicholas 11% 34% 35% 16% 4% - -
206 PARK Ian C. 3% 14% 30% 31% 17% 5% 1%
206 WIMMER Chandler M. - 1% 12% 31% 36% 17% 3%
208 NG Joshua Z. 49% 38% 12% 2% - - -
209 HODGE Jaydon L. 33% 42% 20% 4% 1% - -
210 HAWKINS Daniel P. 35% 47% 16% 2% - - -
211 HANKINS Trace 14% 34% 32% 16% 4% 1% -
212 PARNAS Ely 8% 37% 38% 15% 2% - -
213 LEONE III Charles D. 16% 35% 31% 14% 4% - -
214 GROSSMAN August 29% 42% 23% 6% 1% - -
215 JAMES Samuel 3% 18% 32% 29% 14% 3% -
216 BAGHA Armin 22% 42% 27% 8% 1% - -
217 GYURE Brayden H. - 7% 24% 37% 25% 7% 1%
218 HAN David 44% 39% 14% 2% - - -
219 LEI Jacob 1% 9% 24% 32% 23% 8% 1%
220 KOLKER Gregory A. 10% 32% 35% 18% 4% 1% -
220 LANGENDERFER Braeden 42% 40% 15% 3% - - -
222 BAKER Julian L. 31% 42% 21% 5% 1% - -
223 LEE Kennith 37% 50% 11% 1% - - -
224 GUNDUBOGULA Raj 35% 43% 18% 3% - - -
225 THOMPSON Benjamin 76% 22% 2% - - - -
225 SAMMS-HAY Cameron 68% 28% 4% - - - -
225 YI Daniel 87% 13% 1% - - - -
228 SHAH Anuj 81% 18% 1% - - - -
228 YIM Nathan H. 18% 37% 30% 12% 2% - -
230 TRUJILLO Andres 55% 36% 8% 1% - - -
231 PATEL Neal 38% 44% 16% 2% - - -
231 SONG Ervin 33% 57% 10% 1% - - -
233 KIM Ray 57% 34% 8% 1% - - -
234 WILCOX Alexander 40% 42% 16% 3% - - -
234 CHEN Ronald 34% 43% 19% 4% - - -

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.