Meadowlands Expo Center - Secaucus, NJ, 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 | ZHAO Michael(Junyi) | - | - | - | 1% | 8% | 34% | 57% |
2 | ZHANG Albert | - | - | 1% | 7% | 29% | 43% | 19% |
3 | CHEN Jayden | - | - | - | 3% | 15% | 40% | 42% |
3 | MAZAHERI Fletcher | - | - | 1% | 8% | 26% | 41% | 25% |
5 | BOUDREAUX James | - | - | - | - | 3% | 25% | 72% |
6 | YANG Gary | - | - | 2% | 10% | 28% | 39% | 21% |
7 | SINGLETON Aman | - | - | 1% | 7% | 24% | 41% | 28% |
8 | ZHAI Junqi | - | 2% | 12% | 31% | 38% | 17% | |
9 | DOAN Christopher | - | - | 4% | 18% | 35% | 32% | 11% |
10 | HUANG Kenneth | - | - | - | - | 2% | 25% | 73% |
11 | MIDYANY Ryan | - | 2% | 12% | 31% | 37% | 16% | |
12 | DODIN Daniel M. | - | - | - | 2% | 15% | 44% | 39% |
13 | KIM Julian | - | 1% | 10% | 36% | 40% | 13% | |
14 | LEE Anton | - | 4% | 20% | 38% | 29% | 9% | 1% |
15 | LIU Zicheng | - | 4% | 17% | 31% | 30% | 15% | 3% |
16 | KIM Henry | - | - | 1% | 4% | 19% | 41% | 35% |
17 | YAO Aiden | 1% | 9% | 27% | 35% | 22% | 6% | 1% |
18 | CHANG Matthew | - | 3% | 16% | 33% | 31% | 14% | 2% |
19 | LUO Alexander | - | 1% | 5% | 19% | 34% | 30% | 11% |
20 | LIU Andrew | - | 1% | 6% | 21% | 37% | 29% | 7% |
21 | KROPP Wesley | - | 1% | 9% | 35% | 41% | 14% | |
22 | WANG Marcus | - | 4% | 16% | 35% | 33% | 12% | |
23 | TSIEN Richard | 5% | 23% | 36% | 26% | 9% | 1% | - |
24 | CHEN Isaac Zhi | - | - | 2% | 13% | 38% | 41% | 6% |
25 | DU Evan | - | 1% | 8% | 23% | 35% | 26% | 7% |
26 | VAN RIET Stefan | 1% | 7% | 23% | 34% | 25% | 8% | 1% |
27 | VAN JAARSVELD Leo | - | 2% | 12% | 29% | 34% | 19% | 3% |
28 | ROBERTS Arthur | - | 1% | 7% | 24% | 39% | 26% | 3% |
29 | ZHOU Luke | 1% | 8% | 25% | 35% | 23% | 7% | 1% |
30 | MOSTOVOY philip | - | - | 3% | 21% | 45% | 30% | |
31 | TUBALTSEV Evan | - | - | - | 4% | 22% | 49% | 25% |
32 | FRIZZELL Kai | 4% | 19% | 34% | 28% | 12% | 2% | - |
33 | BORAN Brooks | 2% | 11% | 29% | 36% | 19% | 3% | - |
34 | WU Matthew | - | 1% | 8% | 28% | 42% | 20% | 2% |
35 | MIKHAIL Lucas | - | - | 4% | 16% | 35% | 34% | 11% |
36 | GIORDANO Zach | - | 2% | 14% | 31% | 33% | 17% | 3% |
37 | MADRIGAL SALVAT Guillermo | 1% | 6% | 21% | 35% | 28% | 9% | 1% |
38 | MASKIN Mikhail | 2% | 13% | 29% | 33% | 18% | 5% | - |
39 | ZHANG Sean | - | - | 1% | 8% | 27% | 41% | 23% |
40 | TOPRANI Valmik | - | 2% | 12% | 29% | 34% | 18% | 4% |
41 | WITHERELL Logan | 2% | 13% | 31% | 34% | 16% | 3% | |
42 | ZHANG Shuhao | 6% | 29% | 40% | 21% | 4% | - | - |
43 | NOOL Alexander | - | 3% | 14% | 31% | 33% | 16% | 3% |
44 | SONG Aidan | - | 2% | 11% | 28% | 35% | 20% | 4% |
45 | LIN ZIJIE | - | 5% | 22% | 35% | 26% | 10% | 1% |
46 | ZHANG Chaoyi(Joey) | - | 1% | 7% | 22% | 35% | 27% | 8% |
47 | YIN Justin | 1% | 6% | 20% | 34% | 28% | 10% | 1% |
48 | KHERSONSKY Robert | - | 3% | 13% | 30% | 34% | 17% | 3% |
49 | KATS Brandon | 2% | 15% | 34% | 33% | 14% | 2% | - |
50 | MA Nolan | - | 5% | 18% | 33% | 30% | 13% | 2% |
51 | WU MiEr | 1% | 8% | 25% | 35% | 24% | 7% | 1% |
52 | YAO Ryan | - | 5% | 20% | 34% | 29% | 11% | 1% |
53 | ARMSTRONG Payson | 1% | 8% | 24% | 34% | 25% | 8% | 1% |
54 | HONG Ethen | 3% | 20% | 36% | 28% | 11% | 2% | - |
55 | CHEN Daniel | 1% | 6% | 20% | 34% | 29% | 11% | 1% |
56 | WHITE Jackson | 16% | 38% | 33% | 12% | 1% | - | |
57 | MA Joseph | - | - | 1% | 11% | 50% | 39% | |
58 | CAFASSO Alexander | 4% | 20% | 38% | 30% | 8% | - | |
59 | CARCELLER Jeremias | 15% | 38% | 34% | 12% | 2% | - | |
60 | NG Nico | 6% | 25% | 37% | 24% | 8% | 1% | - |
61 | WANG chaoyang | - | 2% | 10% | 26% | 35% | 22% | 5% |
62 | WANG Suian (Andy) | 3% | 15% | 33% | 32% | 14% | 2% | |
63 | LIU Jeremy | 9% | 29% | 36% | 21% | 5% | - | - |
64 | WANG Marcus | 32% | 42% | 20% | 5% | 1% | - | - |
65 | MILLER Xavier | 11% | 32% | 34% | 18% | 5% | 1% | - |
66 | FENG Xinmin | 10% | 30% | 36% | 19% | 5% | - | - |
67 | CHEN Tianjun | 11% | 31% | 34% | 18% | 5% | 1% | - |
68 | KONG Ethan | 6% | 24% | 37% | 25% | 7% | 1% | |
69 | CHO Adrian | 28% | 45% | 23% | 4% | - | - | |
70 | ZHAO Brandon | 2% | 14% | 35% | 35% | 13% | 2% | - |
71 | BHANDARE Veer | 5% | 25% | 37% | 24% | 8% | 1% | - |
72 | RAMIREZ Hunter | 13% | 32% | 32% | 17% | 5% | 1% | - |
73 | WU Jiachen | 7% | 27% | 36% | 23% | 7% | 1% | - |
74 | CHIANG William | 1% | 8% | 25% | 35% | 24% | 7% | 1% |
74 | KANG Ihan | 4% | 20% | 34% | 28% | 12% | 2% | - |
74 | SHI Zhicheng | 2% | 12% | 28% | 33% | 20% | 6% | 1% |
77 | HAN Keyi | 1% | 10% | 28% | 35% | 21% | 5% | - |
78 | SHAPIRO Samuel | 2% | 14% | 30% | 32% | 17% | 4% | - |
79 | WANG Jiacheng | 1% | 10% | 28% | 35% | 20% | 4% | - |
80 | NOOL Aaron | 12% | 34% | 34% | 16% | 3% | - | |
81 | SHAO Mason | 18% | 38% | 30% | 11% | 2% | - | |
82 | MA yuwei | 16% | 41% | 33% | 9% | 1% | - | |
83 | LAI Jayden | 16% | 36% | 31% | 13% | 3% | - | - |
84 | KIM Siwoo | 24% | 42% | 26% | 7% | 1% | - | - |
85 | YAKHNIS Seth | - | 3% | 14% | 31% | 34% | 16% | 3% |
86 | YOON Jonathan | 10% | 32% | 35% | 18% | 4% | - | - |
87 | LEE Ryan | 5% | 25% | 40% | 24% | 6% | - | - |
88 | DAI Jason | 2% | 13% | 29% | 31% | 18% | 5% | 1% |
89 | HU Charles | 2% | 17% | 34% | 31% | 13% | 3% | - |
90 | SHI Evan | 31% | 44% | 21% | 4% | - | - | - |
91 | MUELLER Travis | 65% | 30% | 5% | - | - | - | - |
92 | RICHARDSON Matthew | 45% | 40% | 14% | 2% | - | - | - |
93 | LI Bryan | 17% | 39% | 30% | 11% | 2% | - | - |
94 | CHEN Zachary | 8% | 27% | 36% | 22% | 6% | 1% | - |
95 | GENG Michael | 14% | 40% | 36% | 9% | 1% | - | |
96 | DINIC Pavle | 1% | 9% | 30% | 39% | 19% | 2% | - |
96 | TAXIARCHOS Alexander | 2% | 17% | 40% | 31% | 10% | 1% | - |
98 | GROVER Aditya | 24% | 42% | 26% | 8% | 1% | - | - |
99 | GARRETSON Luke | 1% | 24% | 40% | 26% | 8% | 1% | - |
100 | ROFINO Samuel | 19% | 39% | 30% | 11% | 2% | - | - |
100 | RAMIREZ Tristan | 5% | 32% | 38% | 19% | 5% | 1% | - |
102 | PTASZEK Adam | 43% | 41% | 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.