Secaucus, NJ - Secaucus, NJ, USA
Explore the probability of achieving at least a certain number of victories in the pool 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 | MORSE Tyler | 100% | 100% | 100% | 97% | 83% | 50% | 14% |
2 | SHENG Patrick Y. | 100% | 100% | 100% | 99% | 92% | 68% | 27% |
3 | DIXON Samuel | 100% | 100% | 99% | 94% | 76% | 42% | 11% |
3 | BHATNAGAR Ayan | 100% | 97% | 78% | 41% | 12% | 2% | - |
5 | LEE Daniel Y. | 100% | 100% | 100% | 99% | 95% | 74% | 32% |
6 | GROSSMAN August | 100% | 100% | 99% | 94% | 73% | 35% | 7% |
7 | WOZNIAK Ignacy | 100% | 98% | 83% | 47% | 12% | ||
8 | DIETZ Andor | 100% | 100% | 100% | 95% | 77% | 42% | 10% |
9 | PARK Ian C. | 100% | 100% | 99% | 96% | 81% | 51% | 16% |
10 | KIM William M. | 100% | 100% | 100% | 98% | 88% | 58% | 19% |
11 | COLLYMORE Spencer T. | 100% | 100% | 100% | 99% | 93% | 69% | 27% |
12 | MAAS Sean H. | 100% | 100% | 99% | 91% | 65% | 27% | 4% |
13 | JUN Jaywu | 100% | 100% | 97% | 85% | 56% | 23% | 4% |
14 | PIERANUNZI Jules (Wills) W. | 100% | 98% | 86% | 56% | 22% | 4% | |
15 | VAYSBUKH Konstantin | 100% | 99% | 91% | 63% | 21% | ||
16 | KROPP Jack | 100% | 100% | 96% | 81% | 47% | 13% | |
17 | GALLANT Antoine | 100% | 100% | 100% | 100% | 97% | 80% | 38% |
18 | CHO Tyler H. | 100% | 100% | 100% | 97% | 83% | 50% | 15% |
19 | DIAS-LALCACA Kieran P. | 100% | 100% | 99% | 93% | 70% | 32% | 6% |
20 | SIDDIQUI Humza K. | 100% | 100% | 98% | 84% | 47% | 11% | |
21 | WIEDERHORN ethan | 100% | 100% | 99% | 89% | 60% | 24% | 4% |
22 | PAK Charles | 100% | 100% | 97% | 81% | 47% | 13% | |
23 | BORATIN Daniel I. | 100% | 99% | 94% | 73% | 37% | 9% | |
24 | GANA Jr Jorge M. | 100% | 100% | 100% | 95% | 72% | 28% | |
25 | HENSAL Nicolas A. | 100% | 100% | 96% | 81% | 53% | 21% | 4% |
26 | WU Byron | 100% | 100% | 100% | 95% | 78% | 42% | 10% |
27 | JEYOON Ryan S. | 100% | 100% | 99% | 90% | 63% | 27% | 5% |
28 | DIXON Thomas | 100% | 99% | 89% | 61% | 27% | 6% | 1% |
29 | WU Jason | 100% | 99% | 93% | 73% | 40% | 12% | 2% |
30 | BINDAS Odinn A. | 100% | 72% | 31% | 8% | 1% | - | |
31 | KUMAR Aidan | 100% | 92% | 64% | 29% | 8% | 1% | - |
32 | CHAI Jonathan | 100% | 99% | 92% | 70% | 36% | 10% | 1% |
33 | MISHIMA Torata | 100% | 87% | 52% | 18% | 3% | < 1% | |
34 | LEE Seungwon | 100% | 100% | 94% | 70% | 33% | 8% | 1% |
35 | PAN Eric | 100% | 100% | 100% | 97% | 82% | 49% | 13% |
36 | BASOK Nikita | 100% | 95% | 74% | 41% | 14% | 3% | - |
37 | LAI Coby | 100% | 99% | 92% | 66% | 29% | 6% | |
38 | SALERNO Gaetano | 100% | 100% | 97% | 82% | 46% | 11% | |
39 | BUYANOV Nikita V. | 100% | 100% | 97% | 82% | 48% | 14% | |
40 | ZHAO Luhan | 100% | 81% | 41% | 10% | 1% | ||
41 | LIEF Isaac R. | 100% | 100% | 98% | 84% | 52% | 18% | 3% |
42 | CHATZIKALFAS Dimitris E. | 100% | 100% | 98% | 85% | 51% | 17% | 2% |
43 | SIVAKUMAR Ajit | 100% | 100% | 95% | 78% | 47% | 17% | 3% |
44 | HE Lawrence | 100% | 99% | 94% | 74% | 41% | 13% | 2% |
45 | WIMMER Nathaniel P. | 100% | 100% | 100% | 98% | 86% | 56% | 17% |
46 | GU Aidan | 100% | 100% | 97% | 83% | 53% | 21% | 3% |
47 | WHITEHURST JJ | 100% | 99% | 91% | 65% | 29% | 5% | |
48 | KOBI Samuel | 100% | 97% | 78% | 43% | 13% | 2% | |
49 | BORODITSKY Ethan | 100% | 100% | 98% | 87% | 60% | 26% | 5% |
50 | CUI Oscar (Bo Lang) | 100% | 99% | 88% | 58% | 22% | 4% | - |
51 | LEE Hudson | 100% | 97% | 80% | 46% | 15% | 2% | - |
52 | ZENG Zihan | 100% | 99% | 91% | 69% | 36% | 11% | 1% |
53 | PARK Frederick | 100% | 96% | 63% | 24% | 5% | - | - |
54 | KING Cameron | 100% | 99% | 91% | 67% | 31% | 6% | |
55 | SEELEY Charlie | 100% | 80% | 38% | 10% | 1% | - | |
56 | MACARTY Jordan T. | 100% | 99% | 88% | 60% | 25% | 4% | |
57 | CHU Allan | 100% | 99% | 92% | 67% | 30% | 6% | |
58 | HANRATTY Liam | 100% | 98% | 85% | 57% | 26% | 7% | 1% |
59 | MUMMIDI Rishi | 100% | 98% | 84% | 51% | 18% | 3% | - |
60 | MUN Chur-Yong | 100% | 86% | 52% | 20% | 4% | - | - |
61 | CHONG christopher | 100% | 100% | 98% | 85% | 53% | 19% | 3% |
62 | WANG Tristan | 100% | 92% | 62% | 24% | 4% | ||
63 | LIU Yichen | 100% | 91% | 61% | 27% | 7% | 1% | - |
64 | WU Marcus | 100% | 96% | 79% | 47% | 18% | 4% | - |
65 | SCHADE Lucas | 100% | 89% | 53% | 18% | 3% | - | - |
66 | ROLLO Emmett H. | 100% | 92% | 63% | 27% | 6% | 1% | - |
67 | NORTH Alexander M. | 100% | 100% | 96% | 79% | 45% | 14% | 2% |
68 | YUAN Calvin | 100% | 96% | 75% | 39% | 11% | 1% | |
69 | MARTINEZ Joshua | 100% | 97% | 80% | 46% | 15% | 2% | |
70 | MATEI Daniel | 100% | 99% | 89% | 63% | 30% | 8% | 1% |
71 | PADHYE Siddhant | 100% | 100% | 100% | 95% | 78% | 41% | 9% |
72 | CHAMBLISS Logan C. | 100% | 100% | 99% | 90% | 63% | 25% | 4% |
73 | CHEN Zhong Han | 100% | 63% | 22% | 4% | - | - | - |
74 | FUSSMAN Yuval | 100% | 90% | 56% | 19% | 3% | - | - |
75 | BANKULLA Nihal R. | 100% | 99% | 90% | 61% | 25% | 6% | 1% |
76 | STEVENS George | 100% | 90% | 58% | 20% | 3% | ||
77 | SONG Alexander | 100% | 78% | 38% | 10% | 1% | - | |
78 | ZHANG Zixian (Shawn) | 100% | 90% | 52% | 14% | 2% | - | |
79 | ZHAO Jonathan | 100% | 99% | 94% | 71% | 34% | 7% | |
79 | LAM Bill | 100% | 87% | 44% | 11% | 1% | - | |
81 | KLUGMAN Reece | 100% | 91% | 61% | 24% | 5% | 1% | - |
82 | KOKENGE Reid | 100% | 96% | 80% | 49% | 20% | 5% | - |
83 | GORTI Agustya | 100% | 95% | 69% | 31% | 8% | 1% | - |
84 | CHOI Marcus | 100% | 67% | 24% | 4% | - | - | - |
85 | KHALITOV Alexander | 100% | 83% | 44% | 14% | 3% | - | - |
86 | KAPLAN Alejandro | 100% | 93% | 61% | 23% | 4% | - | - |
87 | FAN Russell | 100% | 47% | 11% | 1% | - | - | |
88 | PAPAVASSILIOU Christos | 100% | 28% | 3% | - | - | - | - |
89 | SHAO Haian | 100% | 59% | 17% | 2% | - | - | - |
89 | STEWART Charlie | 100% | 75% | 35% | 9% | 1% | - | - |
89 | NASR Paul | 100% | 84% | 41% | 9% | 1% | - | - |
92 | GAO Daniel | 100% | 60% | 14% | 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.