Meadowlands Exposition 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 | WILSON Jude | - | - | - | 1% | 8% | 35% | 56% |
2 | MORRILL William | - | - | - | 1% | 8% | 34% | 58% |
3 | CHAN Matthew | - | - | - | 2% | 12% | 38% | 47% |
3 | LUTHRA Arjun | - | - | 1% | 10% | 30% | 40% | 19% |
5 | SHOMAN Zachary | - | - | 1% | 6% | 23% | 42% | 29% |
6 | DEPEW Spencer | 1% | 8% | 27% | 36% | 22% | 6% | 1% |
7 | DENG Andrew | - | - | 3% | 14% | 32% | 36% | 15% |
8 | CHEN Evan P. | - | 2% | 10% | 28% | 36% | 20% | 3% |
9 | KIM Shaun M. | - | - | 2% | 9% | 27% | 40% | 23% |
10 | FENG Leo | - | - | - | 3% | 16% | 40% | 40% |
11 | GONZALEZ Emilio A. | - | - | 1% | 6% | 24% | 43% | 26% |
12 | CHOI Silas | - | - | 2% | 12% | 31% | 38% | 17% |
13 | LEE Aydan J. | - | - | 4% | 19% | 37% | 31% | 8% |
14 | SIMAK Joseph P. | - | - | 1% | 7% | 24% | 42% | 26% |
15 | BABAYEV Gabriel A. | - | - | - | 2% | 16% | 42% | 39% |
16 | ANTHONY Devyn V. | - | 2% | 12% | 28% | 34% | 19% | 4% |
17 | ZHENG Edward L. | - | - | 2% | 14% | 35% | 36% | 13% |
18 | GILSON Lucas B. | - | 1% | 7% | 27% | 39% | 22% | 4% |
19 | MEDVEDEV Michail D. | - | 2% | 9% | 25% | 35% | 23% | 6% |
20 | HUANG Ethan F. | - | - | 2% | 10% | 31% | 40% | 17% |
21 | SHOMAN Noah | - | 1% | 5% | 20% | 36% | 30% | 9% |
22 | KILGALLEN William | 3% | 17% | 32% | 29% | 15% | 4% | - |
23 | HUANG Alex F. | - | - | 2% | 9% | 28% | 40% | 21% |
24 | HUANG Alexander C. | - | 1% | 8% | 26% | 37% | 23% | 5% |
25 | LIU Mingyang Ryan | - | 3% | 13% | 29% | 34% | 18% | 3% |
26 | GINSBERG Jordan | - | 2% | 11% | 27% | 35% | 21% | 3% |
27 | POSY Daniel | 3% | 17% | 33% | 30% | 14% | 3% | - |
28 | WANG Oscar | 3% | 15% | 31% | 31% | 16% | 3% | - |
29 | VARUKATTY-GAFOOR Sohil | 1% | 9% | 25% | 34% | 23% | 7% | 1% |
30 | RODE Leon J. | - | 2% | 10% | 27% | 35% | 21% | 4% |
31 | OH Triton | - | 1% | 9% | 25% | 36% | 24% | 5% |
32 | FIELDS Matthew S. | - | - | 3% | 13% | 32% | 36% | 15% |
33 | BAE Jason I. | - | - | 2% | 15% | 39% | 36% | 7% |
34 | WANG Nicolas | - | 1% | 6% | 22% | 36% | 28% | 7% |
35 | KUSHKOV Daniel | - | 2% | 12% | 30% | 35% | 17% | 2% |
36 | STURN Oliver | - | 1% | 10% | 31% | 39% | 17% | 2% |
37 | YAN William | 3% | 16% | 32% | 31% | 15% | 3% | - |
38 | KOVACH Jonah F. | - | 2% | 12% | 28% | 34% | 20% | 4% |
39 | NG Jeremiah | - | 4% | 16% | 30% | 30% | 15% | 3% |
40 | FREDRICK Jameer | 2% | 20% | 38% | 29% | 10% | 2% | - |
41 | HUANG Maxwell H. | 2% | 11% | 26% | 33% | 21% | 6% | 1% |
42 | TANG Charles | 13% | 33% | 33% | 16% | 4% | - | - |
43 | MICLAUS Justin | - | 2% | 14% | 37% | 34% | 11% | 1% |
44 | ZHOU Grant | - | 3% | 12% | 27% | 32% | 20% | 5% |
45 | PANDEY Neil | 3% | 16% | 33% | 31% | 14% | 3% | - |
46 | ZENG Noah | - | 1% | 6% | 22% | 36% | 27% | 7% |
47 | SMINK Oliver | 1% | 5% | 19% | 34% | 29% | 11% | 1% |
48 | LEE Justin | 1% | 5% | 18% | 31% | 29% | 13% | 3% |
49 | LAU Justin Y. | 2% | 12% | 31% | 34% | 17% | 4% | - |
50 | UH Daniel | 4% | 21% | 34% | 27% | 11% | 2% | - |
51 | ANAND Sahil Z. | 3% | 17% | 33% | 30% | 13% | 3% | - |
52 | ALTIRS Giorgio | 8% | 29% | 36% | 21% | 6% | 1% | - |
53 | GONG Jerry | 21% | 39% | 28% | 10% | 2% | - | - |
54 | STERN Tobias | 19% | 41% | 29% | 9% | 2% | - | - |
55 | SUGIURA Samuel | 2% | 14% | 30% | 32% | 17% | 4% | - |
56 | WANG Daniel | - | 4% | 20% | 39% | 28% | 8% | 1% |
57 | KWALWASSER Eric | 1% | 5% | 19% | 33% | 29% | 12% | 1% |
58 | BERA Enzo | 2% | 11% | 27% | 32% | 21% | 7% | 1% |
59 | GAUVEY Kieran | 3% | 17% | 32% | 30% | 15% | 3% | - |
60 | KANG Evan | 1% | 6% | 20% | 34% | 28% | 10% | 1% |
61 | ALAVE Kyle | 2% | 14% | 33% | 33% | 15% | 3% | - |
62 | BROU Inkosi | - | 4% | 16% | 32% | 31% | 14% | 2% |
63 | BODKIN Jake M. | 8% | 30% | 39% | 19% | 4% | - | - |
64 | WEBER Mattias A. | 1% | 16% | 36% | 32% | 12% | 2% | - |
65 | PERRON Robert | 12% | 31% | 33% | 18% | 5% | 1% | - |
66 | GOLD Carter | 15% | 43% | 33% | 8% | 1% | - | - |
67 | ZHAO Lucas | - | 1% | 6% | 19% | 35% | 30% | 9% |
68 | FLITSANOV Macabee | 5% | 21% | 34% | 27% | 10% | 2% | - |
69 | CHANG Leo | 7% | 31% | 42% | 17% | 3% | - | - |
69 | SHIPITSIN Alexander | - | 6% | 25% | 38% | 24% | 6% | 1% |
71 | PATEL Rayn | - | 5% | 21% | 37% | 28% | 9% | 1% |
72 | LEONARD Charles | 2% | 11% | 29% | 34% | 19% | 5% | - |
73 | LAUB William | 17% | 37% | 31% | 13% | 2% | - | - |
74 | ENGEL Peter | 1% | 7% | 26% | 37% | 23% | 6% | 1% |
75 | EYBELMAN Ariel | 1% | 9% | 27% | 35% | 22% | 6% | 1% |
76 | OH Aster | 4% | 19% | 35% | 29% | 11% | 2% | - |
77 | CHENG Cody | 2% | 14% | 31% | 32% | 16% | 4% | - |
78 | CARRINGTON IV William T. | - | 2% | 11% | 29% | 35% | 18% | 3% |
79 | WONG Caleb W. | 13% | 39% | 33% | 12% | 2% | - | - |
80 | ONG Chinli | 26% | 41% | 24% | 7% | 1% | - | - |
81 | HUROWITZ Max | 7% | 28% | 37% | 21% | 6% | 1% | - |
82 | LIN Philip T. | 16% | 34% | 31% | 15% | 4% | 1% | - |
83 | CHEN Alex | 18% | 37% | 30% | 12% | 2% | - | - |
84 | BONETTI Brayden | - | 2% | 13% | 33% | 35% | 15% | 2% |
84 | LEE Ashe | 31% | 41% | 21% | 5% | 1% | - | - |
86 | WANG Max | 23% | 45% | 26% | 6% | - | - | - |
87 | MEYTIN Maxwell S. | 77% | 21% | 2% | - | - | - | - |
88 | HO Nathaniel | 25% | 43% | 25% | 7% | 1% | - | - |
89 | SIMATOS Luka D. | 5% | 21% | 33% | 26% | 11% | 2% | - |
90 | LIGH Checed | 22% | 44% | 28% | 6% | 1% | - | - |
91 | MILLER Felix | 30% | 43% | 22% | 5% | - | - | - |
92 | MENDOZA Diwa | 11% | 35% | 36% | 15% | 3% | - | - |
93 | LASKOW Oliver | 9% | 30% | 37% | 19% | 4% | - | - |
93 | LEUNG Ian | 5% | 23% | 36% | 25% | 9% | 2% | - |
95 | LIU Kevin | 6% | 23% | 34% | 25% | 10% | 2% | - |
96 | MENDOZA Luca | 6% | 24% | 35% | 25% | 9% | 1% | - |
97 | GREER Emmett | 6% | 26% | 37% | 23% | 7% | 1% | - |
97 | GUTTENPLAN Yann | 12% | 37% | 35% | 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.