Philadelphia, PA - Philadelphia, PA, 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 | JEYOON Ryan S. | - | - | 2% | 12% | 31% | 38% | 17% |
2 | CHONG christopher | - | - | 2% | 11% | 28% | 38% | 20% |
3 | LONCAR Luka E. | - | - | 1% | 7% | 24% | 41% | 28% |
3 | THOMAS Harris | - | 4% | 17% | 32% | 31% | 14% | 2% |
5 | CLICK Aiden | - | - | - | 2% | 11% | 38% | 49% |
6 | LIN Kyran | - | - | 2% | 12% | 38% | 48% | |
7 | PRASAD Ankith | - | - | - | 1% | 11% | 38% | 50% |
8 | LEE Shwan | - | - | 3% | 18% | 37% | 32% | 9% |
9 | BEZRODNOV Alexander | - | 5% | 19% | 35% | 31% | 10% | |
10 | ELYADERANI Paxon | 1% | 6% | 20% | 33% | 27% | 11% | 2% |
11 | LEE Daniel Y. | - | - | - | 1% | 10% | 39% | 50% |
12 | KATS Dylan G. | - | - | 4% | 17% | 36% | 33% | 11% |
13 | GOLDFINE Ian J. | - | - | 1% | 9% | 28% | 40% | 22% |
14 | PARK Elliot | - | 1% | 7% | 23% | 36% | 26% | 6% |
15 | RICHARD Owen | - | - | 3% | 16% | 35% | 34% | 12% |
16 | MACARTY Jordan T. | - | - | 2% | 13% | 34% | 37% | 14% |
17 | CARRIER Gabriel A. | - | 1% | 8% | 25% | 38% | 24% | 4% |
18 | LEONE III Charles D. | - | - | - | 4% | 17% | 40% | 39% |
19 | LEE Noah | - | - | 1% | 6% | 22% | 41% | 29% |
20 | BEZRODNOV Michael | - | - | 2% | 12% | 34% | 38% | 14% |
21 | SU Caleb | - | - | 1% | 8% | 28% | 42% | 21% |
22 | BORODITSKY Ethan | - | 1% | 6% | 19% | 34% | 30% | 10% |
23 | AGAON Shawn | - | - | 3% | 14% | 35% | 36% | 12% |
24 | GALLO James | - | - | 4% | 18% | 37% | 32% | 9% |
25 | JORDAN Anton | - | 5% | 20% | 36% | 28% | 9% | 1% |
26 | SINGHA Orion | - | - | 4% | 17% | 35% | 33% | 11% |
27 | SENNEWALD James J. | - | 1% | 5% | 22% | 42% | 26% | 4% |
28 | YOUNG Peyton E. | - | - | 1% | 8% | 29% | 41% | 21% |
28 | KOBI Samuel | - | 4% | 16% | 32% | 31% | 14% | 2% |
30 | ZHANG Alec | - | 1% | 6% | 22% | 38% | 27% | 6% |
31 | JIN daniel | 1% | 5% | 19% | 35% | 30% | 10% | |
32 | FLECKENSTEIN Benjamin T. | - | 2% | 13% | 30% | 35% | 17% | 2% |
33 | KUDRIAVTCEV Sergei | - | - | - | 5% | 21% | 43% | 30% |
34 | KOKENGE Reid | - | 1% | 8% | 27% | 42% | 22% | |
35 | KIM Dylan J. | - | 1% | 9% | 28% | 36% | 20% | 4% |
36 | LIOZNYANSKY Simon | - | - | 4% | 16% | 34% | 34% | 12% |
37 | LATIF IMRAN ZAKARIYYA | - | - | - | 3% | 15% | 40% | 42% |
38 | HIGGINS Branford | - | 1% | 5% | 20% | 37% | 29% | 8% |
39 | HILBERT Gabriel E. | 6% | 24% | 34% | 25% | 9% | 2% | - |
40 | PARK Frederick | - | 3% | 13% | 31% | 34% | 17% | 2% |
41 | JUN Jaywu | - | 1% | 5% | 21% | 37% | 28% | 8% |
42 | VRAPI Dorian A. | 5% | 23% | 38% | 27% | 7% | 1% | - |
43 | LIEF Isaac R. | - | 1% | 10% | 29% | 40% | 20% | |
44 | PHUKAN Rohin | 1% | 9% | 25% | 36% | 24% | 6% | |
45 | GOHEL Dayus T. | - | - | - | 2% | 12% | 40% | 46% |
46 | JIN Nicholas | - | - | - | 1% | 6% | 32% | 61% |
47 | ALVAREZ Ian T. | - | 6% | 22% | 36% | 26% | 9% | 1% |
48 | WIMMER Nathaniel P. | - | - | 2% | 11% | 30% | 39% | 18% |
48 | MICKO Fritz K. | - | 3% | 15% | 33% | 32% | 14% | 2% |
50 | SHCHUR Landon | - | 2% | 11% | 29% | 35% | 18% | 3% |
51 | YAVOROVSKIY Joshua I. | - | - | 3% | 14% | 31% | 35% | 15% |
52 | PARK Ian C. | - | - | 1% | 8% | 27% | 41% | 23% |
53 | KARNAS Karol | 1% | 9% | 25% | 34% | 23% | 7% | 1% |
54 | ZHAO corey | - | - | 2% | 12% | 36% | 40% | 10% |
55 | IARIKOV Nicholas | 1% | 10% | 28% | 37% | 21% | 3% | |
56 | LOISEAU Eliott | 12% | 33% | 35% | 17% | 3% | - | |
57 | WU Marcus | 5% | 21% | 34% | 27% | 11% | 2% | - |
58 | VEZMAR Evan H. | - | 1% | 6% | 23% | 37% | 26% | 7% |
59 | SINGH Aryaman | 1% | 17% | 39% | 31% | 11% | 2% | - |
60 | DAVOODIAN Christopher | - | 4% | 22% | 38% | 27% | 8% | 1% |
61 | TREBON Hayden | 1% | 7% | 21% | 33% | 27% | 10% | 2% |
62 | MCALISTER Ian | - | 2% | 16% | 35% | 33% | 12% | 2% |
63 | LEE Samuel Y. | 5% | 23% | 37% | 26% | 8% | 1% | |
64 | DAO Alexander | 2% | 19% | 37% | 29% | 11% | 2% | - |
65 | LI Patrick | - | 4% | 18% | 33% | 30% | 13% | 2% |
66 | KUMAR Aidan | 1% | 5% | 19% | 33% | 29% | 12% | 2% |
67 | KHANNA Nikhil | - | 2% | 11% | 31% | 39% | 17% | |
68 | THAKUR Om S. | 5% | 21% | 35% | 28% | 10% | 1% | |
69 | DESTEFANO Julius | 3% | 16% | 34% | 32% | 14% | 2% | |
70 | NEAL John P. | - | - | 1% | 10% | 30% | 39% | 19% |
71 | YAO Geoffrey B. | - | 2% | 11% | 30% | 36% | 18% | 3% |
72 | WANG DEVON | - | 1% | 9% | 26% | 37% | 23% | 4% |
72 | WANG Clayton | 4% | 19% | 34% | 29% | 12% | 2% | - |
74 | O'DONNELL Benjamin | 1% | 6% | 20% | 34% | 28% | 10% | 1% |
75 | SEEFELDT William Henry C. | - | 1% | 7% | 23% | 37% | 26% | 7% |
76 | CHOI Mason | 1% | 8% | 23% | 33% | 25% | 10% | 1% |
77 | MAHESH Tarun | 14% | 36% | 34% | 14% | 3% | - | - |
78 | GAO Daniel | - | 4% | 17% | 34% | 33% | 12% | |
79 | PHAM Sawyer T. | 8% | 28% | 35% | 21% | 6% | 1% | |
80 | KRZYSIAK David F. | 3% | 18% | 34% | 30% | 13% | 2% | |
81 | VACCARO Dominick J. | 3% | 15% | 33% | 32% | 15% | 2% | |
82 | SENNEWALD Frederick A. | - | 2% | 13% | 32% | 37% | 15% | |
83 | DEKERMANJI Christopher | 1% | 8% | 25% | 36% | 24% | 6% | |
84 | WANG owen | 3% | 20% | 38% | 29% | 9% | 1% | |
85 | SARKAR Anish | 1% | 16% | 38% | 32% | 11% | 2% | - |
85 | EVANS noah | 1% | 6% | 21% | 35% | 27% | 9% | 1% |
87 | CAO Brad | - | 4% | 21% | 38% | 27% | 8% | 1% |
88 | KOZAKIEWICZ Filip | - | 5% | 19% | 34% | 29% | 11% | 1% |
89 | SPINA Joseph B. | 2% | 13% | 32% | 33% | 16% | 3% | - |
90 | SNYDER Ari | - | 5% | 17% | 32% | 30% | 13% | 2% |
91 | OTTO Nathaniel B. | 9% | 30% | 35% | 20% | 6% | 1% | - |
92 | MURPHY Thomas P. | - | 4% | 17% | 34% | 31% | 13% | 2% |
93 | ULINICH Alexander | 4% | 20% | 35% | 28% | 11% | 2% | - |
94 | CHIMOSKEY Finn D. | 3% | 21% | 38% | 27% | 9% | 1% | - |
95 | SARKAR agniv | 2% | 13% | 30% | 32% | 18% | 5% | - |
96 | ZHANG William | 1% | 9% | 26% | 35% | 23% | 6% | - |
97 | SILVERS Ari | - | 3% | 19% | 37% | 30% | 10% | 1% |
98 | VELINOV Gabriel | - | 3% | 14% | 31% | 32% | 16% | 3% |
98 | CHU Allan | - | 4% | 16% | 33% | 31% | 13% | 2% |
100 | NIKOLOV Peter | - | 3% | 13% | 30% | 35% | 17% | 2% |
101 | KNUDSEN Travis | 5% | 21% | 35% | 28% | 10% | 2% | - |
102 | KNOX James | 11% | 31% | 34% | 18% | 5% | - | |
103 | CHAMBLISS Logan C. | 1% | 9% | 29% | 37% | 20% | 4% | |
104 | PRIHODKO Max | - | 1% | 9% | 27% | 40% | 23% | |
105 | MUGA Aiden | 17% | 37% | 31% | 12% | 2% | - | |
106 | KIM Nathan | 3% | 16% | 32% | 32% | 15% | 3% | |
107 | LEE Hudson | 3% | 17% | 34% | 32% | 12% | 1% | |
108 | TIYA BIAYA K. | 1% | 7% | 23% | 36% | 26% | 7% | |
109 | BRUSKOTTER Reiland | 4% | 18% | 34% | 30% | 13% | 2% | |
110 | LEE Seungwon | 1% | 7% | 22% | 33% | 26% | 10% | 1% |
111 | KIM Byung | - | 5% | 18% | 32% | 30% | 13% | 2% |
112 | WU Jonathan | 6% | 24% | 36% | 25% | 9% | 1% | - |
113 | ROLLO Emmett H. | 5% | 24% | 37% | 25% | 8% | 1% | - |
113 | LEE Chun Po | 26% | 40% | 25% | 8% | 1% | - | - |
115 | SINFUEGO Adrian | 18% | 45% | 29% | 7% | 1% | - | - |
116 | CORRALES Victor M. | 2% | 17% | 39% | 30% | 10% | 1% | - |
117 | WOLFE Alex | 2% | 12% | 29% | 33% | 18% | 5% | - |
118 | TIKHOMIROV Theodore | 3% | 22% | 38% | 27% | 9% | 1% | - |
119 | LAI Aiden | 5% | 23% | 35% | 26% | 9% | 1% | - |
120 | IMREK Elijah S. | 1% | 8% | 26% | 36% | 22% | 6% | 1% |
120 | WONG KEVIN | 1% | 10% | 25% | 33% | 22% | 8% | 1% |
122 | SUN James H. | 10% | 32% | 37% | 18% | 3% | - | - |
123 | RICHARDS Jackson D. | 7% | 25% | 34% | 24% | 9% | 2% | - |
124 | SHA Michael | 25% | 41% | 26% | 7% | 1% | - | |
125 | CHEN Zhengyang | 13% | 35% | 34% | 15% | 3% | - | |
126 | CHEN Jun Ho | 6% | 24% | 36% | 25% | 8% | 1% | |
127 | XIAO Andrew | 4% | 20% | 36% | 29% | 10% | 1% | |
128 | CAO Albert | 6% | 24% | 37% | 25% | 7% | 1% | |
129 | SINGH Ravin | 27% | 40% | 24% | 7% | 1% | - | - |
130 | SKORUPAN Grant | 2% | 12% | 28% | 33% | 19% | 5% | 1% |
131 | MCDONALD Ethan | 7% | 27% | 38% | 21% | 6% | 1% | - |
132 | WILSON Benjamin H. | 19% | 40% | 30% | 10% | 2% | - | - |
133 | RIPA Joseph K. | 35% | 42% | 19% | 4% | - | - | - |
134 | KOPPE Alexander | 4% | 18% | 34% | 30% | 12% | 2% | |
135 | KENT V David | 36% | 42% | 18% | 3% | - | - | |
136 | GOLLIN Luke | 7% | 27% | 38% | 23% | 6% | 1% | - |
137 | SCHULZE Ethan | 2% | 12% | 28% | 32% | 20% | 6% | 1% |
138 | TAHOUN Aly | - | 12% | 35% | 35% | 15% | 3% | - |
138 | SONN Rohan | 4% | 20% | 35% | 28% | 11% | 2% | - |
140 | STRAUSS Luke | 1% | 6% | 20% | 32% | 28% | 12% | 2% |
141 | CHIRASHNYA Adam | 7% | 26% | 36% | 23% | 7% | 1% | - |
142 | PARK Nicholas | 2% | 13% | 30% | 33% | 18% | 4% | - |
142 | ZHANG Nathan | 10% | 33% | 36% | 17% | 4% | - | - |
144 | MALHAM Andrew | 57% | 34% | 8% | 1% | - | - | - |
144 | DODIN David | - | 3% | 12% | 29% | 34% | 18% | 3% |
146 | YU Austin | 15% | 36% | 32% | 14% | 3% | - | - |
147 | XIONG Aaron | 34% | 41% | 20% | 5% | 1% | - | - |
148 | DAVIS Jonah | 19% | 41% | 30% | 9% | 1% | - | - |
148 | CLICK Tristan | 22% | 39% | 27% | 9% | 2% | - | - |
150 | GUAN Nathan | 5% | 22% | 37% | 26% | 9% | 1% | - |
151 | LEE JoonWon | 26% | 41% | 25% | 7% | 1% | - | - |
152 | SEBASTIAN Alexander P. | 10% | 30% | 35% | 19% | 5% | 1% | - |
153 | XIE Brandon | 18% | 38% | 30% | 12% | 2% | - | - |
154 | LAM Alan | 21% | 42% | 28% | 8% | 1% | - | - |
155 | FUSSMAN Yuval | 52% | 37% | 10% | 1% | - | - | - |
155 | WANG Max S | 15% | 50% | 28% | 6% | 1% | - | - |
157 | DILLE Jackson K. | 22% | 40% | 27% | 9% | 2% | - | |
158 | LEE inwoo | 17% | 37% | 31% | 12% | 2% | - | - |
159 | KIM Sullivan | 18% | 39% | 31% | 10% | 1% | - | - |
160 | PARKS Isaac | 9% | 33% | 37% | 17% | 4% | - | |
161 | XIA Oliver | 15% | 37% | 32% | 13% | 2% | - | - |
162 | PRAKASH Hari | 20% | 42% | 28% | 8% | 1% | - | - |
163 | CHANG Luo Jixiu | 9% | 28% | 34% | 21% | 7% | 1% | - |
163 | KIM Jayden | 3% | 18% | 33% | 29% | 13% | 3% | - |
163 | LO Jake | 4% | 23% | 38% | 26% | 9% | 1% | - |
166 | MIAO KUNQI | 59% | 35% | 6% | - | - | - | - |
167 | JONES Reilly | 11% | 35% | 35% | 15% | 3% | - | - |
167 | DONDISCH ilan | 89% | 11% | - | - | - | - | - |
169 | FENG du | 40% | 43% | 14% | 2% | - | - | - |
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.