Junior Olympic Championships

Cadet Men's Épée

Friday, February 14, 2020 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 KUSHNERIK Ethan - - - 1% 10% 37% 51%
2 JEONG Connor - - 1% 6% 22% 42% 30%
3 MUN Michael K. - - - 4% 19% 42% 35%
3 MA Ark - - - 1% 8% 38% 53%
5 TOWNSEND Avery S. - - - 2% 14% 43% 41%
6 MARAKOV Allen B. - - 1% 5% 20% 41% 33%
7 LAWSON Henry A. - - - - 6% 31% 63%
8 MOSES Alexander - - 4% 17% 36% 33% 10%
9 MALYSZ Anthony J. - - 1% 5% 22% 43% 29%
10 MOOSEKIAN Stafford - - - 4% 19% 43% 34%
11 ROBINSON Riley - - 3% 16% 36% 34% 10%
12 BEKKER Mitchel - - 2% 9% 27% 40% 22%
13 INSLER Ethan C. - - 4% 16% 32% 34% 14%
14 KIM Ethan J. - 2% 12% 31% 37% 17%
15 RUSSANOV Dennis - - 4% 14% 31% 35% 16%
16 IMREK Samuel A. - - 1% 12% 37% 40% 11%
17 FEINBERG Gabriel M. - - - 1% 6% 32% 61%
18 IVE Isaac L. - - 1% 5% 21% 42% 31%
19 PRASAD Ankith - - - 4% 21% 49% 26%
19 CANDELA Nicholas - - 1% 6% 22% 41% 30%
21 LIU Alexander - - 1% 6% 24% 42% 27%
22 YUMIACO Nolan C. - 1% 9% 26% 36% 23% 5%
23 GARCIA-ROGERS Lucas H. - - 2% 12% 32% 39% 15%
24 BLISS Atticus H. - 1% 7% 21% 34% 27% 8%
25 CASTLE Aaron - 2% 10% 28% 35% 20% 4%
26 JAYENDRA Chandrashekar - 3% 16% 35% 34% 11%
27 KIM Juni C. - - - 3% 15% 40% 42%
28 GYURE Brayden H. - - 1% 9% 31% 42% 17%
29 KANG Philip F. - 3% 14% 32% 34% 14% 2%
30 LAI Coby 1% 9% 29% 37% 19% 4% -
31 BARRY Dominick 8% 28% 37% 21% 5% -
32 YUROVCHAK Andrew T. - - 1% 9% 32% 42% 15%
33 MIELE Benjamin - - 1% 7% 25% 41% 25%
34 VERMEULE Spencer - - - 1% 11% 39% 49%
35 HUGHES Levi H. - - 1% 5% 22% 43% 29%
36 KEHOE James E. - - 2% 11% 28% 38% 20%
37 DAO Matthew M. - - 1% 7% 25% 41% 25%
37 BRISLAWN Reilly R. - - 3% 17% 36% 33% 10%
37 ZHU Wilson - - - 5% 21% 42% 32%
37 WIMMER Chandler M. - - 2% 15% 39% 35% 9%
41 SHAMIS Mark - - 1% 9% 32% 45% 14%
42 GRABER Andrew J. - - 1% 6% 23% 41% 28%
42 LEI Jacob - - 2% 10% 27% 39% 22%
44 ZHU Max - 2% 14% 33% 35% 15% 1%
45 O'HARA Keegan J. - - 1% 7% 26% 43% 23%
46 LEE Ryan - - - 2% 12% 39% 47%
47 NORBUTAS Jackson S. - - - 2% 15% 45% 38%
48 JEON Alexander E. - - - 4% 21% 44% 30%
48 IYOKI Kent - - - 4% 21% 43% 32%
50 SHAH Maximilian A. - 4% 19% 34% 29% 12% 2%
51 CAI Kevin P. - - 1% 5% 21% 42% 31%
52 GANA Jr Jorge M. - - 4% 17% 36% 33% 10%
53 SUICO Zachary Emanuel O. - - 1% 8% 25% 41% 25%
54 RHYU Kozmo - - 3% 15% 36% 35% 10%
55 SHAH S Ayush - 1% 7% 24% 37% 25% 6%
56 LEE Daniel Y. - - 3% 14% 34% 36% 13%
57 WOZNIAK Ignacy - 2% 11% 28% 36% 20% 3%
58 LONCAR Luka E. 1% 7% 22% 34% 26% 9% 1%
59 COLLYMORE Spencer T. - 1% 5% 20% 37% 30% 8%
60 MORSE Tyler - 3% 14% 31% 34% 16% 3%
61 DYER Ian E. - 6% 24% 36% 25% 8% 1%
62 LIANG Aaron 1% 8% 24% 36% 25% 6%
63 KUCZAJDA Matthew 8% 28% 36% 22% 6% 1%
64 MCKEEVER Luca 1% 9% 25% 34% 23% 7% 1%
65 GREEN Ummi - - 4% 19% 43% 34%
66 PAK Charles - 4% 17% 34% 31% 12% 2%
67 WU Joseph - 3% 15% 32% 33% 15% 2%
68 VAN EIKEMA HOMMES Neil B. - - 3% 16% 40% 33% 7%
69 SHENG Patrick Y. - - 1% 8% 26% 41% 24%
70 POHL Merik A. - - 3% 14% 33% 36% 14%
71 LIN Kyran - - 3% 13% 33% 37% 14%
72 LAVENSTEIN Kinley V. - 1% 7% 22% 34% 27% 8%
73 GRAY Sterling B. - - 1% 8% 28% 42% 21%
74 RINEHART Conner M. - - 3% 14% 33% 36% 13%
74 SMITH Jackson - 2% 9% 24% 34% 25% 7%
76 SOOMRO Adam A. - 2% 12% 30% 36% 18% 2%
76 OH Matthew M. - 4% 18% 35% 30% 11% 1%
78 WELLS Tommy R. - 1% 4% 17% 34% 32% 11%
79 KELSEY Ryan - - 4% 19% 38% 31% 8%
80 ZHENG Hagen - - 1% 5% 22% 42% 30%
81 PIEKARSKI John P. 5% 26% 41% 22% 5% < 1% -
82 JIN Owen 3% 15% 33% 33% 14% 2%
83 MOON Ryan Y. 1% 6% 21% 36% 27% 9% 1%
84 ATANAS Matthew M. - 2% 12% 28% 34% 19% 4%
84 MUGA Boris - 1% 7% 25% 37% 24% 5%
86 JIN Nicholas - - 4% 16% 35% 33% 11%
87 LUCERO-OLSON Aydin - 3% 17% 36% 31% 11% 1%
88 DUONG Enoch - 2% 12% 31% 36% 16% 2%
89 CHO Tyler H. - - 1% 8% 26% 40% 24%
90 KIM Edward J. 1% 6% 20% 33% 28% 11% 2%
90 KIM PAUL - 1% 7% 23% 36% 26% 7%
92 DOLGONOS Mark - - - 1% 12% 41% 46%
93 DIXON Samuel - 2% 10% 28% 37% 21% 3%
93 MATTIS George - 1% 10% 29% 36% 19% 3%
95 KRAVIT Connor B. - - 2% 9% 26% 39% 24%
95 SHARMA Sanil - - 2% 10% 28% 39% 21%
97 ZAFFT Maximo S. - - 5% 20% 37% 29% 8%
98 KRISTIANSEN Phillip 2% 18% 46% 27% 6% 1% -
99 DIXON Thomas 7% 24% 34% 24% 9% 2% -
99 LI Brian X - 1% 4% 16% 34% 34% 12%
101 VAYSBUKH Konstantin - 3% 15% 34% 33% 13% 2%
102 NESTEROV Andrew E. 1% 11% 30% 34% 18% 4% -
103 LYUTIKOV Yegor - - 1% 8% 27% 41% 23%
104 PARAKH Darayus 5% 27% 39% 23% 6% 1% -
105 WILMER Nik - 6% 22% 36% 26% 8% 1%
106 DESOUZA Hansel S. - - 5% 24% 42% 25% 4%
107 COMBS Colson - 1% 5% 19% 38% 31% 7%
108 DYER Carson C. 16% 39% 32% 11% 2% - -
109 BELLIVEAU Raven C. 1% 10% 28% 35% 21% 5%
110 CLICK Aiden 5% 22% 36% 27% 10% 1%
111 KROPP Jack - - 5% 22% 38% 28% 7%
112 DIAS-LALCACA Kieran P. - 3% 20% 42% 28% 7% -
113 GIBSON Nowell L. - - 1% 6% 24% 42% 27%
114 GOLDER Will W. - 5% 20% 34% 28% 11% 2%
115 STONE Henry J. - 2% 12% 31% 35% 17% 3%
116 RAJPAL Sartaj S. - 1% 7% 24% 37% 25% 6%
117 BUYANOV Nikita V. - 6% 22% 36% 26% 8% 1%
118 JOO Benjamin 25% 43% 25% 6% 1% - -
119 RA Jr. Daniel M. - - 2% 10% 28% 39% 21%
120 VENKAT Rakesh - 5% 21% 35% 28% 9% 1%
121 LANGTON Sawyer - 3% 15% 31% 32% 15% 3%
121 WHITEHURST JJ 3% 15% 31% 32% 16% 4% -
123 LEE Alexander G. - 2% 12% 28% 34% 19% 4%
124 PHILLIPS Jeffrey T. - 2% 13% 33% 35% 16% 2%
124 SIDDIQUI HUMZA K. - 5% 21% 36% 28% 10% 1%
126 WONG Nicholas A. - 1% 10% 29% 37% 20% 4%
127 VELINOV Gabriel - 4% 19% 34% 29% 11% 2%
128 KARKI Salyan 2% 14% 32% 33% 16% 4% -
129 CHU Ian 3% 17% 33% 30% 14% 3% < 1%
130 WEI Zikun - - - 2% 14% 41% 43%
131 PAVLENISHVILI David G. - - 2% 10% 28% 39% 21%
132 LEHR William D. - 2% 11% 27% 35% 21% 4%
133 ZHANG YuJian - - 2% 11% 30% 39% 19%
134 POPOVICI Maximilian P. - 1% 7% 22% 36% 27% 7%
135 HOLDERNESS Landon - 4% 17% 32% 30% 14% 3%
136 GILLISON Edward L. 7% 26% 36% 23% 7% 1% -
137 LAWLER Aidan - 1% 11% 31% 36% 18% 3%
138 KIM William M. - 3% 16% 36% 35% 10%
139 BRENNAN Charles F. - 3% 17% 37% 31% 11% 1%
139 DOTSON Gus - 1% 8% 25% 37% 24% 5%
141 LI Jeffrey - 1% 10% 31% 38% 17% 3%
142 LIU John - 4% 16% 31% 31% 15% 3%
143 YULE Alexander L. - 2% 10% 28% 38% 20% 3%
144 GOHEL Dayus T. - 4% 16% 32% 31% 14% 2%
144 LEE Timothy S. - 1% 10% 29% 36% 20% 4%
146 ADLER Ethan M. - 2% 11% 27% 34% 21% 5%
147 WONG Daniel 2% 13% 29% 32% 18% 5% 1%
148 SMITH Nicholas S. - 1% 9% 30% 39% 18% 2%
149 USHER Alexander - 1% 9% 29% 37% 20% 4%
150 JEYOON Ryan S. - 1% 10% 30% 40% 17% 2%
151 HUSSAIN Kamran 3% 16% 34% 31% 13% 3% -
152 LEE Matthew C. - 4% 17% 34% 31% 12% 1%
153 GREGORY Nicholas 1% 11% 28% 33% 20% 6% 1%
154 KAJI Ty 1% 5% 18% 32% 29% 13% 2%
155 CHUNG Thomas - 6% 24% 36% 25% 8% 1%
156 MEYERS Peter 1% 6% 22% 36% 26% 8% 1%
157 CHEN Eric 1% 7% 22% 34% 26% 9% 1%
158 WOMACH Tristan 8% 27% 35% 22% 7% 1% -
159 GATZA Logan - 1% 10% 29% 36% 20% 4%
160 AU Marcus J. 1% 10% 27% 34% 21% 6% 1%
161 KIM Benjamin I. 2% 12% 28% 32% 19% 6% 1%
162 FELDMAN Jaemin - 1% 5% 19% 36% 30% 9%
163 WADE Grayson 11% 33% 35% 17% 4% - -
164 MOHEBI Saam - 2% 12% 30% 35% 18% 3%
164 WANG Eric S 2% 16% 37% 33% 10% 1% -
166 RASMUSSEN Jack 12% 34% 34% 16% 4% - -
167 MACNEIL Drew A. 16% 36% 31% 14% 3% - -
168 AHN Gus 1% 11% 30% 37% 18% 3%
169 ALVAREZ Ian T. 1% 8% 25% 35% 24% 7% 1%
169 PADHYE Siddhant - 1% 10% 29% 37% 20% 4%
171 CHON Joshua 3% 19% 36% 30% 10% 1% -
172 TROAKE Henry R. 1% 10% 29% 35% 19% 5% -
172 FRANCO-TENTIOUK Christopher J. 1% 12% 34% 35% 15% 2% -
174 DEKERMANJI Christopher - 3% 14% 30% 33% 17% 3%
175 PARKER Riley D. - 2% 12% 30% 35% 18% 3%
176 WEISE Eli S. - 2% 12% 31% 36% 17% 3%
177 LLOYD Alex - 5% 19% 35% 29% 11% 1%
178 MCDERMOTT Brian - - 4% 17% 34% 33% 11%
179 MATTO Edward J. 8% 28% 36% 21% 6% 1% -
180 TUCKER Owen J. 2% 11% 27% 33% 21% 7% 1%
181 PIERANUNZI Jules W. 1% 6% 21% 34% 28% 10% 1%
182 TANG William 2% 14% 32% 33% 16% 3% -
183 ZHAO Luhan 12% 32% 34% 18% 5% 1% -
184 HANRATTY Liam 1% 9% 25% 34% 23% 8% 1%
185 FLECKENSTEIN Benjamin T. 2% 11% 27% 33% 21% 6% 1%
185 HU Matthew 4% 21% 38% 27% 9% 1% -
185 KIM Sterling S. 11% 32% 34% 17% 5% 1% -
185 JOSEPH William 3% 18% 34% 30% 12% 2% -
189 SOLTER Kai 1% 17% 37% 31% 12% 2% -
190 PARK Ian C. - 1% 8% 24% 36% 25% 6%
191 KOFROTH Zachary R. - 1% 9% 27% 39% 22% 2%
191 JAAFAR Omar 8% 28% 36% 21% 6% 1% -
193 PARK Vincent 3% 16% 32% 31% 15% 3% -
194 KAUFMANN Connor G. 1% 7% 25% 36% 24% 7% 1%
195 HENSAL Nicolas A. - 2% 11% 32% 39% 14% 1%
196 VISURAKAPALLI Sathvik - 2% 11% 29% 36% 19% 3%
197 PARNAS Apollo 2% 12% 29% 33% 19% 5% -
198 OWENS Andrew J. 2% 14% 32% 33% 15% 3% -
198 JONES Elijah 1% 12% 29% 33% 19% 5% 1%
200 PARAMESH Dhilan R. 5% 22% 36% 26% 9% 1% -
201 GREEN Jabreel 1% 7% 21% 33% 27% 10% 1%
201 LEE Kennith 12% 35% 34% 15% 3% - -
203 LEONE III Charles D. - 3% 13% 31% 34% 16% 3%
203 BARTCH Ethan L. 4% 26% 38% 24% 7% 1% -
205 WICKBOLDT Eric 4% 22% 37% 27% 9% 1% -
206 ODEN Isaac M. - 4% 15% 31% 32% 16% 3%
207 ARANA Abraham 1% 19% 38% 29% 11% 2% -
208 SALISBURY Cary 15% 37% 32% 13% 2% -
209 ALIYEV Telman 3% 19% 35% 30% 12% 2%
210 SKIFFINGTON Sam 21% 41% 28% 9% 1% -
211 JIN daniel - 2% 12% 33% 36% 15% 2%
212 BORLAND Isaac 47% 42% 11% 1% - - -
213 MAAS Sean H. 1% 7% 21% 33% 27% 10% 2%
214 GARRETT Samuel 1% 7% 21% 33% 27% 10% 1%
215 MIRANDA Matteo - 5% 19% 33% 29% 12% 2%
216 VANDERLINDEN Brian 1% 10% 34% 36% 16% 3% -
217 JAMES Samuel - 2% 11% 29% 36% 20% 4%
218 AGGARWAL Abhimanyu V. 5% 22% 35% 26% 10% 2% -
218 PRIEBE Ryan 24% 39% 26% 9% 2% - -
220 KOLKER Gregory A. 3% 14% 30% 32% 17% 4% -
220 CRANE Matthew T. 3% 17% 33% 30% 14% 3% -
220 KOSLU Aidan D. 2% 19% 40% 30% 8% 1% -
220 MILLER Lance W. 8% 33% 38% 17% 4% - -
220 LI Jeffrey 3% 18% 35% 30% 12% 2% -
220 MCMANUS Farran 1% 9% 25% 34% 23% 7% 1%
226 MORTON William 3% 22% 38% 27% 9% 1% -
227 GULLO Kenji Y. 5% 26% 38% 24% 7% 1% -
228 WILLIS Alan T. 4% 32% 41% 19% 4% - -
229 WIEDERHORN ethan 1% 10% 29% 35% 19% 4% -
230 KOPPE Alexander 2% 14% 33% 33% 15% 3% -
230 POSTMA Jacob 9% 32% 36% 18% 4% 1% -
232 THOMAS Harris 2% 11% 28% 34% 19% 5% -
233 JANKOWICH Alexander E. 4% 23% 40% 26% 7% 1% -
234 SMITH Zane A. 3% 17% 34% 31% 13% 2% -
234 VALES Keyan 12% 32% 33% 17% 5% 1% -
236 LOGUE Ethan D. 1% 6% 21% 33% 27% 11% 2%
237 MCCOMISKEY Aiden J. 1% 8% 23% 33% 25% 9% 1%
238 MILOSLAVSKY Jack 6% 23% 34% 25% 10% 2% -
239 KHANNA Nikhil 8% 28% 36% 21% 6% 1% -
239 DINKINS Shuayb 6% 27% 39% 22% 6% 1% -
241 LU Sebastian X. 6% 24% 36% 25% 8% 1% -
241 GORTI Agustya 30% 42% 22% 5% 1% - -
243 FERREIRA Noah J. 3% 16% 33% 31% 14% 3% -
243 RICHARD Owen 1% 8% 30% 37% 19% 4% -
245 NIKOLOV Peter 7% 32% 38% 19% 4% - -
246 BENDER Rhys T. - 4% 18% 32% 30% 14% 2%
247 JACOBUS Curran 7% 28% 37% 21% 5% 1% -
248 SEELEY Charlie 15% 47% 30% 7% 1% - -
249 CHAN Aidan Jin-Tao 4% 19% 34% 28% 12% 2% -
250 GROSSMAN August 2% 14% 35% 35% 13% 2% -
251 SHUR Yakov C. - - 4% 15% 32% 34% 14%
252 YANES Shane 9% 30% 36% 19% 5% 1% -
253 KERN Joseph 19% 39% 29% 11% 2% - -
254 MISHIMA Torata 24% 40% 26% 8% 1% -
255 LIN Ryan - 1% 6% 24% 42% 27%
256 MARICI Ryan 19% 41% 30% 9% 1% -
257 RODRIGUEZ Ryan - 3% 14% 32% 34% 15% 2%
257 WANG DEVON 1% 10% 27% 33% 21% 7% 1%
259 SCHULTZ Rowan - 3% 15% 32% 32% 15% 2%
260 SHERWOOD Dominic 3% 17% 34% 31% 13% 3% -
261 FEES HOLDEN 2% 13% 33% 34% 15% 3% -
262 WENGER Caleb 65% 29% 5% - - - -
263 OWENS Nathan J. 28% 41% 23% 6% 1% - -
263 HURDAL Leif G. 5% 33% 41% 18% 3% - -
265 PRABHAKAR Vibhav 6% 25% 35% 24% 8% 1% -
266 BAKER Toby 42% 45% 12% 1% - - -
267 TAROLLI Alexander 15% 35% 32% 14% 3% - -
268 ZHANG Andrew 4% 25% 39% 24% 7% 1% -
269 DIECK Logan O. 3% 17% 34% 30% 13% 3% -
270 BHATNAGAR Ayan 5% 22% 35% 27% 10% 2% -
271 SRINIVASAN Avinash N. 4% 18% 33% 29% 13% 3% -
271 THOMPSON Chester 3% 16% 31% 31% 15% 4% -
271 FOLKERTS Paul 9% 29% 35% 20% 6% 1% -
274 EMARA Omar 3% 18% 36% 30% 11% 2% -
275 SHIV Rishi 1% 11% 29% 34% 20% 5% -
275 KOH Tommy 7% 28% 39% 22% 5% - -
277 BANNEN Nicholas 34% 43% 19% 4% - - -
277 O'DONNELL Benjamin 3% 16% 34% 31% 13% 2% -
277 KIM Darius H. 12% 32% 33% 17% 4% 1% -
280 KWONG Jason 9% 32% 37% 18% 4% - -
281 HARR Carver 6% 29% 40% 21% 4% - -
282 BRETON Jayden 8% 31% 38% 19% 4% - -
282 LAING Christopher 44% 40% 13% 2% - - -
282 RICCOBONO Matthew 19% 39% 29% 10% 2% - -
285 PHUKAN Rohin 45% 40% 14% 2% - - -
286 AMMON Blue 8% 31% 37% 19% 5% 1% -
287 TRUJILLO Andres 30% 43% 22% 5% 1% - -
288 MENTELE Caden 17% 39% 31% 11% 2% - -
288 CHAMBLISS Logan C. 13% 34% 34% 15% 3% - -
290 ENSIGN James W. 2% 21% 43% 27% 7% 1% -
290 SUN Jason 37% 42% 18% 4% - - -
292 DU Drake 5% 20% 33% 27% 12% 3% -
293 PARKER Lane S. 47% 40% 12% 1% - - -
293 SHETTY Surya 18% 38% 31% 11% 2% - -
295 MICKO Fritz K. 3% 18% 35% 30% 12% 2% -
295 JACKSON James 7% 25% 36% 24% 7% 1% -
295 ELANGO SriVaaikuntesh 23% 45% 26% 6% 1% - -
298 WONG Nathan 6% 24% 37% 24% 7% 1% -
299 STEWART Charlie 48% 38% 12% 2% - - -
299 OPFERMAN Benjamin 6% 24% 35% 24% 9% 1% -
301 FELIX Arun J. 21% 38% 28% 11% 2% - -
302 FUSSMAN Yuval 55% 36% 8% 1% - - -
303 BUTLER Garett 74% 24% 3% - - - -
303 QUITORIANO Jonathan 21% 40% 28% 9% 2% - -
305 CONWAY Collin 28% 43% 23% 6% 1% - -
306 HARRIS-SWAYNE E. Samuel 3% 22% 39% 27% 8% 1% -
306 CHATZIKALFAS Dimitris E. 3% 16% 34% 31% 13% 2% -
308 PAVATE Rishi 17% 37% 31% 12% 2% - -
309 MIEZIANKO Sebastian A. 12% 34% 34% 16% 3% - -
310 LIOZNYANSKY Simon < 1% 4% 19% 39% 29% 8% 1%
311 BROWN Hunter 46% 41% 12% 2% - - -
311 SCHULZE Ethan 78% 20% 2% - - - -
313 PERRIGO Ben 21% 39% 28% 10% 2% - -
314 PARNAS Ely 3% 18% 37% 31% 10% 1%
315 SAKO Ayrton I. 22% 46% 26% 6% 1% - -
315 NICHOLS JR Cortez 19% 39% 29% 11% 2% - -
317 FESTIN Michael G. 42% 41% 15% 3% - - -
317 TAMHANKAR Neil 47% 39% 12% 2% - - -
317 VITTETOE Graham 21% 41% 28% 8% 1% - -
320 KOPPE Benjamin 17% 42% 31% 9% 1% - -
321 BUTLER Miles 56% 37% 7% 1% - - -
322 LOWE-THORPE Tyler 2% 23% 39% 26% 8% 1% -
323 HAINES Reagan 48% 38% 12% 2% - - -
323 BHARGAV Siddharth 6% 30% 39% 20% 5% 1% -
323 WITT Elry 22% 38% 27% 10% 2% - -
326 RAMSAY Kyan 27% 46% 22% 4% - - -
327 FAILMEZGER Teige C. 4% 21% 39% 27% 8% 1% -
328 FYOCK Alexander 28% 42% 23% 6% 1% - -
328 CHEN Jun Ho 50% 38% 10% 1% - - -
330 SUH Ryan 23% 41% 27% 8% 1% - -
331 KLAR Jeremy 7% 32% 38% 19% 4% - -
332 CUNANAN Enzo Acosta 17% 43% 32% 7% 1% - -
333 JONES Tyler 19% 48% 27% 6% 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.