Salt Lake City, UT, USA
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 | DESERANNO Jeidus | - | - | - | 1% | 7% | 33% | 59% |
2 | JEON Caleb A. | - | - | - | 1% | 10% | 37% | 51% |
3 | BRUK Peter J. | - | - | - | 3% | 16% | 41% | 39% |
3 | BANERJEE ANUP | - | - | 4% | 19% | 42% | 36% | |
5 | YANG Luao | - | - | - | - | 5% | 31% | 64% |
6 | JAIN Aditya | - | - | - | 4% | 19% | 43% | 34% |
7 | BAS Liam | - | - | - | - | 2% | 21% | 77% |
8 | FUKUDA Renzo K. | - | - | - | 2% | 12% | 39% | 48% |
9 | OH SEAN | - | - | 1% | 10% | 37% | 45% | 6% |
10 | ZHAI Jeffrey | - | 1% | 6% | 25% | 43% | 26% | |
11 | GARCIA Sebastian R. | - | 1% | 10% | 34% | 43% | 12% | |
12 | LI Richard | - | - | - | 1% | 12% | 42% | 45% |
13 | WU Alexander | - | - | - | 2% | 13% | 41% | 44% |
14 | AHN Jun | - | 1% | 8% | 27% | 41% | 23% | |
15 | WOO Christian | - | - | 4% | 18% | 37% | 33% | 8% |
16 | DETERING Julian | - | 1% | 6% | 26% | 41% | 23% | 3% |
17 | HO Jia Le Sean | - | - | 1% | 5% | 21% | 43% | 31% |
17 | LEE Jacob J | - | - | 1% | 6% | 24% | 44% | 26% |
19 | KAO Castor T. | - | - | - | - | 5% | 30% | 65% |
20 | NAYGAS LAWRENCE I. | - | - | 2% | 12% | 36% | 39% | 12% |
20 | SADOVSKY Leor B. | - | - | 1% | 6% | 23% | 42% | 29% |
22 | DAI Jonathan T. | - | - | - | 2% | 14% | 42% | 42% |
23 | LEE Aidan | - | - | - | 5% | 25% | 49% | 20% |
24 | GRAHAM Roy J. | - | - | - | 2% | 14% | 41% | 42% |
25 | SIU Aiden | - | 2% | 12% | 31% | 38% | 16% | |
26 | MOHAMED Amir | - | - | 1% | 11% | 32% | 41% | 15% |
27 | GUERRA Gabriel H. | - | 3% | 16% | 34% | 32% | 12% | 1% |
28 | LI Eric | - | - | 1% | 8% | 29% | 43% | 20% |
29 | ELKOUSY Laith H. | - | 1% | 9% | 27% | 37% | 21% | 4% |
30 | DESHMUKH Arjun | - | - | 2% | 14% | 40% | 40% | 4% |
31 | LU Yikai | - | - | 3% | 17% | 39% | 33% | 8% |
32 | LIANG Lixi (Henry) | - | - | - | 1% | 10% | 42% | 47% |
33 | XU Jia Bao (Bowen) | - | - | 1% | 6% | 23% | 43% | 28% |
34 | PORRAS Cristian | - | - | 4% | 19% | 39% | 31% | 7% |
35 | RUSADZE Nickolas | - | - | 1% | 6% | 24% | 42% | 27% |
35 | COELHO Cristiano P. | - | - | 1% | 8% | 31% | 45% | 15% |
37 | LI Owen | - | - | - | 7% | 36% | 57% | |
38 | LUH Ethan K. | - | - | 5% | 21% | 38% | 28% | 7% |
39 | BING Charles | - | - | 1% | 6% | 24% | 42% | 28% |
40 | SONG Aiden S. | - | - | - | 1% | 10% | 41% | 48% |
41 | KIM Jackson | - | 1% | 10% | 33% | 41% | 14% | 1% |
42 | KIM Yonjae | - | - | - | 2% | 16% | 43% | 38% |
43 | HOOSHI Jayden C. | - | - | - | 3% | 17% | 43% | 36% |
44 | LIN James G. | - | 1% | 7% | 25% | 39% | 25% | 4% |
45 | REYES Omar | - | 1% | 8% | 26% | 39% | 24% | 3% |
46 | GOOR Julian | - | - | - | 4% | 19% | 42% | 34% |
47 | LOVE Aaron | - | 1% | 9% | 36% | 43% | 11% | |
48 | LIN Michael | - | 3% | 18% | 38% | 32% | 9% | |
49 | SONG Bryan | 5% | 22% | 36% | 27% | 9% | 1% | |
50 | KEE Andrew L. | - | 1% | 8% | 29% | 38% | 21% | 4% |
51 | CHIN Julian S. | - | - | 2% | 12% | 34% | 40% | 12% |
52 | LEE Christopher T. | - | 3% | 18% | 37% | 30% | 10% | 1% |
53 | WONG Adrian | - | - | 1% | 8% | 31% | 44% | 15% |
54 | KRYLTSOV Michael | - | 1% | 12% | 36% | 36% | 14% | 2% |
55 | LO Conrad | - | - | - | - | 1% | 16% | 83% |
56 | ROSE Ben | - | 1% | 10% | 28% | 37% | 20% | 4% |
57 | AUGUSTINE Aaron A. | - | 1% | 9% | 28% | 38% | 20% | 4% |
58 | ACHILOV Sayid | - | 1% | 7% | 25% | 38% | 24% | 5% |
59 | YOON DYLAN | 2% | 13% | 31% | 33% | 17% | 4% | - |
60 | BADLANI Dev | 1% | 8% | 31% | 41% | 18% | 2% | |
61 | GODZHIK Zachary | - | - | 1% | 10% | 39% | 51% | |
62 | ELWOOD Sebastian F. | 2% | 12% | 31% | 35% | 17% | 3% | |
63 | TRAUGOT Owen G. | - | 1% | 8% | 27% | 38% | 23% | 4% |
64 | LEE Jonah | - | 3% | 19% | 40% | 30% | 8% | - |
65 | LE Jacob W. | - | 2% | 14% | 35% | 34% | 13% | 1% |
66 | MUSHER Benjamin J. | 1% | 6% | 22% | 35% | 27% | 9% | 1% |
67 | JIANG Owen | - | - | 2% | 12% | 33% | 39% | 14% |
68 | TAHOUN Mostafa | - | 2% | 14% | 40% | 36% | 8% | |
69 | YU Anders | - | - | 1% | 9% | 37% | 53% | |
70 | PO Oliver | 1% | 5% | 19% | 34% | 29% | 11% | 1% |
71 | MIALL Steven A. | - | 1% | 6% | 22% | 38% | 27% | 6% |
72 | ORR Spencer | - | 1% | 7% | 27% | 42% | 20% | 3% |
73 | SETLUR Bhrugu | 10% | 34% | 36% | 16% | 3% | - | - |
74 | CHEN Charlie Tian-You | - | 2% | 14% | 34% | 35% | 14% | 2% |
75 | CHENG Jonathan | - | - | 3% | 18% | 41% | 31% | 7% |
76 | TANG Owen S. | - | - | 2% | 12% | 32% | 39% | 15% |
77 | TSIMIKLIS Yanni | - | - | 3% | 18% | 41% | 32% | 5% |
77 | TIAN allen | - | 5% | 20% | 35% | 29% | 10% | 1% |
79 | SISINNI Riccardo | - | 1% | 7% | 28% | 42% | 20% | 3% |
80 | DINSAY Kristjan | - | 4% | 20% | 38% | 29% | 8% | 1% |
81 | SMITH Grant D. | 11% | 36% | 35% | 15% | 3% | - | - |
82 | TIYA BIAYA K. | - | 1% | 8% | 26% | 39% | 22% | 4% |
83 | LISONDRA Niko | - | 1% | 8% | 30% | 43% | 17% | 1% |
84 | YAP Nathan | - | 8% | 32% | 40% | 17% | 2% | - |
85 | GOBBO Alexander | - | 3% | 15% | 33% | 33% | 14% | 2% |
86 | PARK Jason B. | - | 3% | 20% | 42% | 30% | 5% | |
87 | MA Andrew | - | 3% | 19% | 45% | 29% | 4% | |
88 | MOHAMED Murad | 3% | 17% | 35% | 32% | 12% | 2% | |
89 | SONG Austin | 2% | 15% | 40% | 33% | 10% | 1% | |
90 | MYERS Dean | 5% | 23% | 37% | 26% | 8% | 1% | |
91 | GAO William | - | 1% | 5% | 19% | 38% | 30% | 7% |
92 | HOSKERI Anik S. | - | 5% | 20% | 36% | 29% | 9% | 1% |
93 | OH Jaden | - | 5% | 24% | 42% | 24% | 5% | - |
94 | TANG Albert | - | 7% | 27% | 40% | 21% | 4% | - |
94 | LI Samuel | 1% | 14% | 39% | 32% | 11% | 2% | - |
96 | MIN Eric | - | - | 4% | 23% | 41% | 27% | 5% |
97 | CORTRIGHT Joshua C. | 2% | 12% | 32% | 34% | 16% | 3% | - |
98 | GUO Justin | - | 6% | 27% | 38% | 23% | 6% | 1% |
98 | WYMAN Julian | - | - | 3% | 15% | 35% | 35% | 12% |
100 | TSAO Lukas | 4% | 22% | 37% | 27% | 9% | 1% | - |
101 | CO Dylan | - | 5% | 21% | 36% | 28% | 9% | 1% |
102 | KIM Ryan Y. | - | - | 5% | 21% | 38% | 28% | 7% |
103 | LIPPMAN Sam | 1% | 11% | 32% | 36% | 16% | 3% | - |
104 | CORTRIGHT Skipper | 3% | 17% | 36% | 31% | 12% | 2% | - |
105 | PONS Diego | 2% | 20% | 41% | 29% | 8% | 1% | - |
106 | ORLOV Dmitriy | - | 7% | 25% | 37% | 24% | 7% | 1% |
107 | JI Aidan Y. | - | 4% | 16% | 32% | 32% | 14% | 1% |
108 | SIMA Congyu Josh | 2% | 13% | 32% | 34% | 16% | 3% | |
109 | DORAN Wesley C. | - | 3% | 16% | 37% | 34% | 11% | |
110 | LI Matthew | 1% | 6% | 22% | 37% | 27% | 6% | |
111 | PELOSKY Zack B. | - | 1% | 9% | 28% | 41% | 21% | |
112 | LEWIS Akhil | 4% | 19% | 36% | 29% | 10% | 1% | |
113 | LEUNG Chu Ming Aiden | 6% | 28% | 40% | 21% | 5% | - | |
114 | SHAGIDANYAN German | 9% | 31% | 36% | 19% | 4% | - | |
115 | QIAN Jason H. | - | 4% | 18% | 36% | 30% | 11% | 1% |
116 | WANG Ethan | 3% | 17% | 33% | 30% | 14% | 3% | - |
117 | LI Toby | 33% | 43% | 19% | 4% | - | - | - |
118 | WANG Mason | - | 8% | 27% | 36% | 22% | 6% | 1% |
118 | RASMUSSEN Sage | 8% | 27% | 36% | 22% | 7% | 1% | - |
120 | HAN Changhee | 15% | 36% | 32% | 14% | 3% | - | - |
121 | WECHSLER Jacob | 1% | 10% | 29% | 36% | 19% | 4% | - |
122 | KAPOOR Aayan | 15% | 39% | 32% | 12% | 2% | - | - |
123 | LEE Brendan | 9% | 30% | 35% | 20% | 6% | 1% | - |
124 | YAO Bradley | 1% | 10% | 30% | 36% | 19% | 4% | - |
125 | GONG Benjamin | - | 1% | 6% | 22% | 37% | 28% | 7% |
126 | GOGOI Vir K. | 1% | 9% | 28% | 38% | 20% | 4% | - |
127 | LI Aaron | 20% | 40% | 29% | 10% | 1% | - | |
128 | PARK Ryan | 42% | 41% | 15% | 2% | - | - | |
129 | KIM Harrison | 1% | 20% | 45% | 28% | 6% | - | |
130 | SAGE Michael P. | - | 5% | 24% | 38% | 26% | 7% | 1% |
131 | MA Bryant | - | 12% | 45% | 33% | 9% | 1% | - |
132 | TORRES Treston | 2% | 20% | 38% | 28% | 10% | 1% | - |
133 | LAK Isaac | - | 1% | 8% | 25% | 38% | 24% | 4% |
134 | JIANG Bowang | 3% | 26% | 43% | 23% | 5% | - | - |
135 | NGUYEN Liam | 1% | 13% | 33% | 34% | 16% | 3% | - |
136 | PIESNER Zachary C. | - | 9% | 33% | 38% | 17% | 3% | - |
137 | CHOE Jayden K. | 1% | 12% | 33% | 34% | 16% | 3% | - |
138 | KALIPERSAD Neil A. | 3% | 25% | 41% | 24% | 6% | 1% | - |
139 | LEE Jacob | - | 2% | 13% | 31% | 35% | 17% | 2% |
140 | ALONSO Vinicius | 1% | 12% | 37% | 37% | 13% | 1% | - |
141 | SONG Noel | 2% | 16% | 35% | 32% | 12% | 2% | - |
142 | ZHANG Yun Isaac | - | 3% | 16% | 35% | 34% | 12% | |
143 | YU Jason | 10% | 31% | 36% | 18% | 4% | - | |
144 | XU Andy P. | 13% | 35% | 34% | 15% | 3% | - | |
145 | NGUYEN Martin | 3% | 18% | 37% | 30% | 10% | 1% | - |
146 | KLYCZEK Andrew | - | 10% | 30% | 36% | 19% | 4% | - |
147 | FAN Xikai | - | 9% | 34% | 39% | 16% | 2% | - |
148 | XIAO Bowen | 8% | 28% | 37% | 21% | 6% | 1% | - |
149 | LLIDO Soren | 2% | 14% | 34% | 34% | 14% | 2% | - |
150 | TRUBETSKI David | 5% | 33% | 42% | 18% | 3% | - | - |
151 | SANTOS Carlos R. | - | 10% | 34% | 39% | 15% | 2% | - |
152 | ZHEN Ethan | 1% | 11% | 35% | 37% | 14% | 2% | - |
153 | GORBACHEV Alexander | - | 3% | 19% | 38% | 30% | 9% | 1% |
154 | MCISAAC Finn | 2% | 17% | 38% | 31% | 11% | 1% | - |
155 | CANLAS Nathan | - | 1% | 7% | 26% | 39% | 23% | 4% |
156 | LI Jett | 8% | 28% | 36% | 22% | 6% | 1% | - |
157 | IVANENKO Alex | 10% | 38% | 36% | 13% | 2% | - | - |
158 | YI William | 2% | 14% | 34% | 33% | 14% | 2% | - |
159 | TANG August L. | 3% | 20% | 42% | 28% | 7% | 1% | - |
160 | AGRAWAL Niki | - | 36% | 43% | 17% | 3% | - | - |
161 | RUBIN Max | 25% | 42% | 25% | 7% | 1% | - | - |
162 | BORG Matthew | 32% | 43% | 21% | 4% | - | - | - |
163 | WANG Rory | 36% | 46% | 16% | 2% | - | - | - |
164 | LEE Eugene | 2% | 38% | 43% | 15% | 2% | - | |
165 | FU Steven | 16% | 42% | 33% | 8% | 1% | - | |
166 | FUKUDA Diego | 7% | 31% | 39% | 19% | 4% | - | |
167 | ZHAO Bowen | 13% | 39% | 37% | 10% | 1% | - | |
168 | PARK Rion | 23% | 47% | 25% | 5% | - | - | |
169 | LI Matthew | 14% | 36% | 33% | 14% | 3% | - | |
170 | LEUNG Jin | 27% | 45% | 23% | 4% | - | - | |
171 | LIU William | 6% | 41% | 39% | 13% | 2% | - | - |
172 | MARTIN IV Elmer D. | - | 2% | 13% | 32% | 35% | 16% | 2% |
173 | KIM Adrian | - | 38% | 42% | 17% | 3% | - | - |
174 | WONG Antonio | 2% | 12% | 32% | 35% | 16% | 3% | - |
175 | SHEN Mingxuan | 15% | 38% | 32% | 12% | 2% | - | - |
176 | WONG Yuheng Isaac | 3% | 25% | 40% | 25% | 7% | 1% | - |
177 | TALASILA Arush | 25% | 41% | 26% | 8% | 1% | - | - |
178 | PARK Sky | 5% | 26% | 41% | 22% | 5% | - | - |
179 | LI Arvin | - | 5% | 20% | 38% | 29% | 7% | 1% |
180 | ZHANG Matthew | 1% | 35% | 42% | 19% | 4% | - | - |
181 | XU Xinhao ( Sonny) | 15% | 39% | 32% | 12% | 2% | - | - |
182 | EDISON Ansel | 9% | 37% | 38% | 14% | 2% | - | - |
183 | LEVY Jacob | 3% | 27% | 42% | 23% | 5% | - | - |
184 | LINDER James | 47% | 40% | 12% | 1% | - | - | - |
185 | ZHUANG Chuanxuan | 4% | 58% | 33% | 6% | - | - | - |
186 | BOYKO Miles | 13% | 48% | 31% | 8% | 1% | - | - |
187 | MEMMOTT Ben | 68% | 28% | 4% | - | - | - | - |
188 | TULYAG Azim | 19% | 42% | 29% | 8% | 1% | - | - |
189 | RNO Kyler | 24% | 47% | 24% | 5% | - | - | - |
190 | WUJASTYK Leon | 19% | 39% | 30% | 10% | 2% | - | |
191 | KIM Jonah | 62% | 33% | 5% | - | - | - | - |
191 | REICHEL Ezra | 28% | 44% | 23% | 5% | - | - | - |
193 | SUN Ryan | 31% | 43% | 21% | 5% | - | - | - |
194 | VISHAWADIA Jaimin | 81% | 18% | 1% | - | - | - | - |
194 | GREENEBAUM Oliver | 50% | 39% | 10% | 1% | - | - | - |
194 | HUANG Jonathan | 16% | 37% | 31% | 13% | 3% | - | - |
197 | BARTON Luke J. | 90% | 9% | - | - | - | - | |
198 | CHIN Ryan | 15% | 39% | 32% | 12% | 2% | - | - |
198 | LIU Zixian (Aaron) | 6% | 29% | 39% | 21% | 4% | - | - |
198 | SHI Dylan | 17% | 44% | 31% | 7% | 1% | - | - |
201 | MCKINLEY Luke | 80% | 19% | 2% | - | - | - | - |
201 | BAI Brian | 72% | 25% | 3% | - | - | - | - |
201 | PINCHENG Yao | 30% | 43% | 21% | 5% | - | - | - |
204 | KUO Jayden | 74% | 24% | 2% | - | - | - | - |
205 | ZHANG Lucas | 37% | 45% | 16% | 2% | - | - | |
206 | BURKE Reid | 98% | 2% | - | - | - | - | - |
207 | KALAMAS Nikolas | 67% | 28% | 4% | - | - | - | - |
208 | LIANG Ethan | 93% | 7% | - | - | - | - | - |
208 | SUN Neo | 99% | 1% | - | - | - | - | - |
210 | BOYNTON Alex | 99% | 1% | - | - | - | - | - |
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.