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 | BABAYEV Gabriel A. | - | - | 1% | 8% | 26% | 41% | 23% |
2 | KIM Shaun M. | - | - | - | - | 5% | 29% | 66% |
3 | SHOMAN Noah | - | - | - | - | 5% | 30% | 64% |
3 | SHIRPAL Oleksandr | - | - | - | 1% | 6% | 31% | 63% |
5 | PENG Bryan | - | - | 1% | 5% | 21% | 41% | 32% |
6 | GONZALEZ Emilio A. | - | - | - | - | 3% | 28% | 69% |
7 | MICLAUS Justin | - | - | - | 4% | 18% | 42% | 36% |
8 | HU Christopher | - | - | 1% | 10% | 30% | 40% | 19% |
9 | PRIMUS Nazir | - | - | 1% | 11% | 32% | 39% | 16% |
10 | SHOMAN Zachary | - | - | - | 1% | 8% | 36% | 56% |
10 | WANG Nicolas | - | - | 2% | 12% | 30% | 37% | 18% |
12 | ZHENG Edward L. | - | - | 1% | 5% | 20% | 41% | 33% |
13 | LEE Aydan J. | - | - | 2% | 8% | 25% | 40% | 25% |
14 | ZHANG Derek | - | - | 2% | 11% | 32% | 40% | 16% |
15 | KWALWASSER Eric | - | 2% | 11% | 27% | 34% | 21% | 5% |
16 | PATEL Rayn | - | 2% | 13% | 31% | 35% | 17% | 2% |
17 | LIU Lawrence | - | - | 5% | 23% | 40% | 25% | 5% |
18 | HUANG Alex F. | - | - | - | 1% | 8% | 40% | 51% |
19 | WANG Robert | - | - | - | 5% | 24% | 50% | 21% |
20 | ZENG Noah | - | - | 1% | 5% | 21% | 43% | 31% |
21 | SHINCHUK Daniel | - | 1% | 5% | 20% | 39% | 30% | 5% |
22 | FELDMAN Drew | - | 1% | 5% | 20% | 36% | 30% | 8% |
23 | SU Landon | - | - | 1% | 10% | 32% | 41% | 16% |
24 | KUSHKOV Daniel | - | 2% | 11% | 27% | 33% | 21% | 5% |
25 | HOTHA Nikhil | 1% | 9% | 30% | 38% | 19% | 3% | - |
25 | VARUKATTY-GAFOOR Sohil | - | - | 4% | 17% | 35% | 33% | 10% |
25 | WU Richard | - | 3% | 13% | 29% | 33% | 18% | 3% |
28 | MCCARTHY Gabriel | - | - | 1% | 5% | 21% | 41% | 32% |
29 | SUGIURA Samuel | - | 3% | 12% | 29% | 34% | 19% | 3% |
30 | LIN Steve | 1% | 8% | 29% | 37% | 20% | 5% | - |
31 | LIN Philip T. | - | 2% | 11% | 29% | 36% | 19% | 3% |
32 | ANTHONY Devyn V. | - | - | 1% | 5% | 22% | 43% | 29% |
33 | OH Triton | - | - | 1% | 5% | 22% | 42% | 30% |
34 | NGUYEN Anthony | 1% | 8% | 24% | 33% | 24% | 8% | 1% |
35 | GONG Jerry | - | 7% | 24% | 35% | 24% | 8% | 1% |
36 | ZHANG Ethan W. | - | 4% | 16% | 31% | 31% | 15% | 3% |
37 | BRANDT Jaden | 2% | 13% | 29% | 33% | 18% | 5% | - |
38 | ALAVE Kyle | - | 5% | 19% | 35% | 29% | 11% | 1% |
39 | HUANG Maxwell H. | - | 5% | 20% | 35% | 29% | 10% | 1% |
39 | VENU Ram | 3% | 21% | 38% | 28% | 9% | 1% | - |
41 | TURCK Caspar J. | - | - | - | 4% | 21% | 44% | 30% |
42 | HUNG Samuel | 1% | 8% | 24% | 35% | 24% | 8% | 1% |
43 | BERA Enzo | - | 1% | 8% | 22% | 34% | 26% | 8% |
44 | VAUGHN Jason | - | 4% | 16% | 31% | 31% | 15% | 2% |
45 | TANG Shu Hon | - | 3% | 18% | 36% | 31% | 11% | 1% |
46 | RAJMOHAN Arya | 4% | 19% | 34% | 29% | 12% | 2% | - |
47 | NARDINI Nathanael P. | - | 1% | 11% | 31% | 36% | 17% | 3% |
48 | IDRISSI Idris | - | 4% | 15% | 31% | 32% | 16% | 3% |
49 | URSU Marcel T. | - | 2% | 12% | 28% | 34% | 20% | 4% |
50 | HERR Gabriele | - | 1% | 9% | 25% | 35% | 24% | 6% |
51 | SAGE Sebastian | - | 1% | 8% | 27% | 40% | 21% | 3% |
52 | EYBELMAN Ariel | 2% | 11% | 27% | 33% | 20% | 6% | 1% |
53 | ANAND Sahil Z. | 1% | 7% | 22% | 35% | 26% | 8% | 1% |
54 | LI Yao (Liam) | - | 4% | 17% | 33% | 31% | 13% | 2% |
55 | CARRINGTON IV William T. | - | 1% | 5% | 18% | 36% | 32% | 9% |
56 | CARROLL Charles | 5% | 21% | 35% | 27% | 10% | 2% | - |
57 | BUIKEVICH Ihnat | 11% | 30% | 34% | 19% | 6% | 1% | - |
58 | LIU Kevin | 4% | 19% | 33% | 28% | 12% | 3% | - |
59 | WANG Oscar | 2% | 10% | 27% | 33% | 21% | 6% | 1% |
60 | ZHANG Yupeng | - | 6% | 22% | 34% | 27% | 10% | 1% |
61 | DAI Gary | 1% | 13% | 38% | 34% | 13% | 2% | - |
62 | KATZ Ryan | 5% | 24% | 36% | 25% | 8% | 1% | - |
63 | BREUER Daniel | 52% | 39% | 9% | 1% | - | - | - |
64 | YAN William | - | 4% | 17% | 33% | 31% | 14% | 2% |
65 | ZHAO Lucas | - | - | 1% | 6% | 28% | 52% | 13% |
66 | ZHOU James Y. | 1% | 6% | 21% | 35% | 28% | 9% | 1% |
67 | HE Bowen | 1% | 8% | 24% | 34% | 24% | 7% | 1% |
68 | ATWOOD Griffin | 1% | 10% | 28% | 36% | 21% | 4% | - |
69 | BODKIN Jake M. | 1% | 9% | 28% | 36% | 21% | 5% | - |
70 | JORGESON Charlie | - | 6% | 24% | 37% | 24% | 7% | 1% |
71 | HO Nathaniel | - | 4% | 18% | 35% | 31% | 11% | 1% |
72 | SINGER Marcus | 3% | 21% | 37% | 28% | 9% | 1% | - |
73 | MENDOZA Diwa | 1% | 10% | 29% | 36% | 20% | 5% | - |
74 | BONETTI Brayden | - | - | 3% | 17% | 39% | 34% | 7% |
75 | CRAIG Andrew | 6% | 23% | 34% | 25% | 10% | 2% | - |
76 | WANG Daniel | 1% | 10% | 27% | 35% | 21% | 6% | 1% |
77 | GAUVEY Kieran | 3% | 16% | 32% | 30% | 15% | 4% | - |
78 | WEINSTEIN Nate | 3% | 20% | 36% | 28% | 11% | 2% | - |
79 | FANG Eason | 16% | 36% | 31% | 13% | 3% | - | - |
80 | SHIPITSIN Alexander | - | 4% | 15% | 31% | 32% | 15% | 2% |
81 | LIU Isaak | 16% | 37% | 32% | 13% | 2% | - | - |
82 | OLALIA-NAPIER Gabriel | 2% | 15% | 33% | 33% | 15% | 2% | - |
83 | MARGULIS Jared | 9% | 29% | 35% | 21% | 6% | 1% | - |
83 | COUNTS Nicholas | 10% | 31% | 35% | 18% | 5% | 1% | - |
83 | SEN Christian | 1% | 12% | 33% | 34% | 16% | 3% | - |
86 | LEE Andrew | 1% | 9% | 28% | 38% | 21% | 3% | - |
86 | KIM Ethan | 1% | 5% | 18% | 32% | 30% | 13% | 2% |
88 | MARGULIAN Grant | 3% | 26% | 41% | 24% | 6% | 1% | - |
89 | GERSTMANN Max T. | 1% | 6% | 22% | 35% | 27% | 9% | 1% |
90 | LIM Brandon | 2% | 18% | 36% | 31% | 11% | 2% | - |
91 | PRIEUR Christian F. | 16% | 35% | 31% | 14% | 3% | - | - |
91 | OH Aster | 2% | 12% | 28% | 32% | 20% | 6% | 1% |
91 | LICHTERMAN Jakub | - | 8% | 27% | 35% | 22% | 7% | 1% |
91 | TSAO Oliver | 1% | 8% | 32% | 38% | 17% | 3% | - |
95 | KESSLER Nathan | 1% | 8% | 30% | 39% | 19% | 4% | - |
96 | CHEN Jonathan | - | 2% | 10% | 26% | 36% | 22% | 4% |
96 | FTAIHA Ezra | 59% | 34% | 6% | - | - | - | - |
96 | LEUNG Ian | - | 2% | 10% | 28% | 37% | 20% | 2% |
99 | WANG Max | 3% | 20% | 37% | 29% | 9% | 1% | - |
100 | MEYERSON Jacob | - | 4% | 19% | 36% | 30% | 10% | 1% |
101 | DESAI Dhilan | 3% | 15% | 31% | 31% | 16% | 4% | - |
101 | LIN Maxim | 2% | 11% | 27% | 33% | 21% | 6% | 1% |
103 | ZHENG LEON | 6% | 24% | 35% | 25% | 9% | 2% | - |
104 | JONES Elijah | - | 5% | 19% | 34% | 29% | 12% | 2% |
105 | WELSTEAD Nicholas | 2% | 14% | 33% | 34% | 15% | 2% | - |
106 | COURTIN Frederic | 3% | 17% | 32% | 30% | 14% | 3% | - |
106 | ALMEDA Stanislav | 4% | 24% | 38% | 25% | 8% | 1% | - |
108 | MEDVINSKY Daniel | - | 1% | 9% | 29% | 37% | 20% | 4% |
109 | NGO Maximus | 28% | 41% | 23% | 7% | 1% | - | - |
109 | MONTALVO Matthew | 22% | 49% | 24% | 5% | - | - | - |
111 | LIN Felix | 23% | 41% | 27% | 8% | 1% | - | - |
112 | NG Jonathan | 9% | 33% | 36% | 18% | 4% | - | - |
113 | DHANJAL Guntas | 49% | 38% | 11% | 2% | - | - | - |
114 | O'GRADY Declan | 44% | 43% | 12% | 1% | - | - | - |
115 | BIVIJI Ali | 2% | 12% | 28% | 32% | 19% | 6% | 1% |
116 | MCDONALD Finn | 7% | 26% | 35% | 23% | 7% | 1% | - |
117 | PENG Victor | 13% | 42% | 33% | 11% | 2% | - | - |
118 | SIMATOS Luka D. | 23% | 40% | 27% | 9% | 2% | - | - |
119 | HU Andrew | 4% | 25% | 40% | 24% | 6% | 1% | - |
120 | LEE Anderson | 8% | 28% | 36% | 21% | 5% | - | - |
121 | WONG Caleb W. | 9% | 32% | 36% | 18% | 4% | - | - |
122 | AGARWALA Mukul | 83% | 16% | 1% | - | - | - | - |
122 | GONG Gavin | 13% | 49% | 30% | 7% | 1% | - | - |
124 | CHANG Leo | 6% | 24% | 37% | 26% | 8% | 1% | - |
125 | KIM Theodore | 19% | 39% | 30% | 10% | 2% | - | - |
126 | XIA Eric | 14% | 35% | 33% | 15% | 3% | - | - |
127 | LIGH Checed | 18% | 37% | 30% | 12% | 3% | - | - |
128 | CHANG Daniel | 33% | 42% | 20% | 4% | - | - | - |
129 | KONG Alan | < 1% | 3% | 15% | 30% | 32% | 16% | 3% |
130 | SASSI Ilyas | 38% | 41% | 17% | 3% | - | - | - |
131 | KUSANAGI Soshi | 15% | 36% | 32% | 14% | 3% | - | - |
132 | LEE Gordon | 48% | 39% | 12% | 2% | - | - | - |
133 | JIANG Terence | 65% | 30% | 5% | - | - | - | - |
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.