Gaylord National Resort and Convention Center - National Harbor, MD, 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 | MAZAHERI Fletcher | - | - | - | 3% | 30% | 67% | |
2 | KROPP Wesley | - | - | - | 2% | 14% | 40% | 43% |
3 | ZHAI Derrick | - | - | 1% | 10% | 30% | 40% | 19% |
3 | MOSTOVOY philip | - | - | - | 1% | 9% | 37% | 53% |
5 | DODIN Daniel M. | - | - | - | 1% | 11% | 40% | 47% |
5 | KIM Gene | - | - | - | - | 4% | 27% | 69% |
7 | LUO Alexander | - | - | 2% | 15% | 35% | 35% | 12% |
8 | CHEN Evan | - | 1% | 7% | 23% | 36% | 26% | 6% |
9 | TANG Michael | - | - | - | 2% | 15% | 44% | 38% |
10 | DANILOV Artur | - | 2% | 13% | 33% | 37% | 15% | |
11 | WU MiEr | - | - | 4% | 20% | 40% | 30% | 6% |
12 | KATS Brandon | - | - | 2% | 11% | 30% | 38% | 19% |
13 | MIDYANY Ryan | - | - | 2% | 13% | 37% | 40% | 8% |
14 | MIKHAIL Lucas | - | - | 6% | 24% | 38% | 25% | 6% |
15 | ZHENG Jason | - | 1% | 5% | 20% | 37% | 30% | 7% |
16 | ROBERTS Arthur | 1% | 7% | 23% | 36% | 26% | 7% | |
17 | KIM Julian | - | - | - | 2% | 14% | 42% | 42% |
18 | YU Jeremy | 4% | 19% | 34% | 29% | 12% | 2% | < 1% |
19 | YAO Tristan | - | 1% | 9% | 28% | 40% | 22% | |
20 | QU RuiTing | - | - | 3% | 14% | 31% | 36% | 16% |
21 | MOU Jaydon | - | - | 2% | 11% | 29% | 38% | 19% |
22 | YAO Aiden | - | 2% | 10% | 28% | 36% | 20% | 3% |
23 | CHEN Tianjun | - | 1% | 6% | 20% | 34% | 29% | 10% |
24 | NOOL Aaron | 1% | 6% | 21% | 33% | 27% | 11% | 2% |
25 | CHEN Daniel | - | 2% | 13% | 36% | 37% | 13% | |
26 | HANTOV Adrian | - | 3% | 15% | 34% | 35% | 13% | |
27 | FRIZZELL Kai | - | 3% | 12% | 29% | 34% | 19% | 4% |
28 | JAZWINSKI Ryan | - | - | 2% | 11% | 29% | 38% | 20% |
29 | KHERSONSKY Robert | - | 1% | 4% | 17% | 33% | 33% | 13% |
30 | SONG Aidan | - | - | 1% | 6% | 23% | 41% | 28% |
31 | YAO Ryan | - | 2% | 13% | 31% | 34% | 17% | 3% |
32 | HEADRICK Liam | - | 1% | 6% | 21% | 35% | 29% | 8% |
33 | TOPRANI Valmik | - | 4% | 19% | 36% | 31% | 10% | |
34 | MA Nolan | - | 2% | 10% | 27% | 35% | 21% | 5% |
35 | LIU Austin | - | - | 1% | 8% | 29% | 44% | 18% |
36 | ZHAO Kyle Zekai | - | 5% | 19% | 33% | 29% | 12% | 2% |
37 | TANG Daniel | - | 4% | 17% | 34% | 32% | 12% | 2% |
38 | YAKHNIS Seth | - | 3% | 15% | 30% | 32% | 16% | 3% |
39 | PETERS Keane | - | 2% | 11% | 28% | 36% | 20% | 2% |
40 | STRAFFORD Andrew | - | 6% | 22% | 36% | 27% | 9% | 1% |
41 | DING Max | - | 4% | 18% | 35% | 32% | 10% | |
42 | OH Ted | 3% | 20% | 41% | 30% | 6% | - | |
43 | CHO Adrian | - | 1% | 12% | 36% | 36% | 13% | 1% |
44 | KIM Doyun | - | 3% | 15% | 34% | 33% | 13% | 1% |
45 | ALPSOY Emir | - | 1% | 7% | 22% | 35% | 27% | 8% |
46 | CHIANG William | 1% | 5% | 20% | 35% | 29% | 10% | 1% |
46 | PUTHOFF Henry | - | 2% | 9% | 26% | 36% | 22% | 5% |
48 | LAI Jayden | - | 5% | 18% | 33% | 29% | 12% | 2% |
49 | CHEN Jayden | - | 4% | 20% | 38% | 29% | 8% | 1% |
50 | KIM Leejay | - | - | 3% | 16% | 36% | 35% | 9% |
51 | ARMSTRONG Payson | - | - | 6% | 28% | 52% | 13% | |
52 | MEDISETTI Arjun | - | 3% | 17% | 44% | 34% | 3% | |
53 | GALBRAITH Carson | 1% | 7% | 24% | 36% | 26% | 7% | |
54 | KICIMAN Leo | - | 1% | 7% | 21% | 34% | 28% | 9% |
55 | BORAN Brooks | - | 4% | 15% | 31% | 32% | 16% | 3% |
56 | MA Joseph | 3% | 17% | 33% | 31% | 14% | 3% | - |
57 | QI Bryan | 10% | 31% | 35% | 18% | 5% | 1% | - |
58 | MASKIN Mikhail | - | 2% | 9% | 26% | 37% | 22% | 4% |
59 | ZHUKOV Egor | - | 4% | 20% | 37% | 29% | 9% | 1% |
59 | DANG William | - | 1% | 6% | 21% | 35% | 29% | 9% |
61 | MADRIGAL SALVAT Guillermo | 1% | 7% | 24% | 37% | 25% | 7% | |
62 | ZHAN ETHAN | 3% | 19% | 36% | 29% | 10% | 1% | |
63 | HAM Ian | 8% | 28% | 36% | 22% | 6% | 1% | |
64 | VORONIN Zachary | 2% | 13% | 29% | 32% | 18% | 5% | 1% |
65 | LEE Harrison | - | - | 2% | 11% | 32% | 41% | 14% |
66 | KIM Louie | - | 5% | 22% | 36% | 27% | 8% | 1% |
67 | CHANG Matthew | - | - | - | 2% | 14% | 40% | 43% |
68 | SMITH Theo | - | 7% | 28% | 38% | 22% | 5% | - |
69 | WU Jiachen | 1% | 8% | 24% | 34% | 24% | 8% | 1% |
70 | FEELY Benjamin | 8% | 30% | 37% | 20% | 5% | - | |
71 | ZHOU Luke | - | 5% | 21% | 37% | 28% | 8% | |
72 | SHI Peyton | 13% | 38% | 36% | 11% | 1% | - | |
73 | WILLIAMS Gavin | 6% | 24% | 37% | 25% | 8% | 1% | |
74 | DUCHNOWSKI Thiesson | 17% | 39% | 31% | 11% | 2% | - | |
75 | KONG Ethan | - | 1% | 8% | 28% | 40% | 21% | 3% |
76 | BEN-YOSEPH Rafael | 6% | 24% | 36% | 25% | 8% | 1% | - |
77 | ZHANG Aiden | - | 4% | 17% | 32% | 30% | 14% | 2% |
78 | ZHAO Brandon | 4% | 18% | 34% | 29% | 13% | 3% | - |
79 | HONG Ethen | 2% | 14% | 30% | 32% | 17% | 4% | - |
80 | KO Ethan | 1% | 11% | 29% | 34% | 19% | 5% | - |
81 | BUTLER Xavier | 1% | 14% | 39% | 33% | 12% | 2% | - |
82 | KANG Ihan | 2% | 12% | 30% | 33% | 18% | 5% | - |
83 | GAO Guanyi (Jonathan) | 1% | 6% | 22% | 38% | 26% | 7% | 1% |
84 | SCHIFFRIN Jonah | 18% | 37% | 30% | 12% | 2% | - | - |
85 | MILLER Xavier | 4% | 19% | 34% | 29% | 12% | 3% | - |
86 | ZHAO ryan | 2% | 12% | 31% | 35% | 17% | 3% | |
87 | WEI Jayden | - | - | 2% | 17% | 46% | 35% | |
88 | FRY John | - | 2% | 13% | 32% | 34% | 16% | 3% |
89 | LANE Sawyer | 1% | 10% | 29% | 35% | 19% | 5% | - |
90 | MAXWELL Taiga | 3% | 16% | 33% | 31% | 14% | 3% | - |
91 | CHEN Regis | - | 3% | 18% | 37% | 31% | 10% | 1% |
92 | FEELY Samuel | 7% | 26% | 35% | 23% | 8% | 1% | - |
93 | KIM Daniel | 9% | 29% | 35% | 20% | 6% | 1% | - |
94 | KUBBA Sauvil | 7% | 28% | 38% | 21% | 5% | 1% | - |
95 | HAGERMAN Mark | 2% | 15% | 36% | 33% | 12% | 2% | - |
96 | KUYKENDALL Logan | 12% | 40% | 34% | 12% | 2% | - | - |
97 | IMBERG Matthew | - | 7% | 26% | 38% | 23% | 5% | - |
98 | DING Charlie | 1% | 15% | 41% | 32% | 10% | 1% | - |
99 | KIM Siwoo | 5% | 23% | 36% | 25% | 9% | 1% | - |
100 | NOCON Garrison | 4% | 22% | 41% | 27% | 5% | - | |
101 | BURT Jonathan Parker | 34% | 42% | 19% | 4% | - | - | |
102 | KUYKENDALL Lucas | 33% | 44% | 19% | 3% | - | - | |
103 | ZHANG Jacob | 14% | 39% | 35% | 11% | 1% | - | |
104 | LEE Taeryum | 7% | 28% | 36% | 21% | 6% | 1% | - |
105 | PATEL Yash | 6% | 24% | 35% | 24% | 8% | 1% | - |
105 | SPEZAKIS Achilles | 10% | 30% | 34% | 19% | 6% | 1% | - |
107 | YOON Jonathan | 10% | 33% | 35% | 17% | 4% | - | - |
108 | CAVALLARO Sebastian | 10% | 31% | 35% | 18% | 5% | 1% | - |
109 | PATEL Tej | 19% | 39% | 29% | 11% | 2% | - | - |
110 | LIU YULIN | 3% | 17% | 33% | 31% | 14% | 2% | - |
111 | CHI Zachary | 4% | 31% | 40% | 20% | 4% | - | - |
112 | ZINCHUK Yuri | 2% | 15% | 32% | 32% | 16% | 3% | - |
113 | CAVALLARO Xavier | 8% | 28% | 35% | 21% | 6% | 1% | - |
114 | TALANDZEVICIUS Tomas | 2% | 13% | 30% | 32% | 18% | 5% | - |
115 | KABEALO Charles | 5% | 28% | 38% | 22% | 6% | 1% | - |
116 | MORET Declan | 59% | 35% | 6% | - | - | - | - |
116 | YAN Milan | 12% | 34% | 34% | 15% | 3% | - | - |
118 | GOODSON Everett | 29% | 43% | 23% | 5% | 1% | - | - |
119 | GREEN Hudson | 27% | 41% | 24% | 7% | 1% | - | - |
120 | PINCIROLI Tommaso | 5% | 40% | 39% | 14% | 2% | - | - |
121 | MATHEW Benjamin | 50% | 38% | 11% | 1% | - | - | - |
122 | CHEN Zachary | 18% | 38% | 30% | 11% | 2% | - | - |
123 | KRAVCHENKO Philip | 25% | 42% | 25% | 7% | 1% | - | - |
124 | ZHEN Maxwell | 17% | 42% | 32% | 8% | 1% | - | |
125 | SCOGGIN Charles | 15% | 50% | 29% | 6% | 1% | - | - |
126 | AGRAWAL Ariv | 35% | 42% | 19% | 4% | - | - | |
127 | QU ethan | 20% | 39% | 28% | 10% | 2% | - | - |
128 | ZHOU Silvan | 25% | 40% | 25% | 8% | 1% | - | - |
129 | KICIMAN Louis | 18% | 38% | 30% | 11% | 2% | - | |
130 | LEE Eric | 8% | 33% | 37% | 18% | 4% | - | |
131 | ECCLESTONE Liam | 46% | 41% | 12% | 1% | - | - | - |
132 | REKUS Gavin | 75% | 22% | 2% | - | - | - | - |
133 | SUK Kwon | 19% | 39% | 29% | 10% | 2% | - | - |
134 | HONG Evan | < 1% | - | 4% | 17% | 34% | 33% | 12% |
135 | GAN Samuel | 81% | 18% | 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.