Suffern, NY - Suffern, NY, 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 | GONZALEZ TABORDA William Eulogio | - | - | - | 1% | 11% | 40% | 47% |
2 | CERMINARA Nicolò | - | 1% | 7% | 23% | 35% | 26% | 8% |
3 | LIBSON Tazman | - | 1% | 8% | 27% | 41% | 22% | |
3 | ALFAIATE Lucas | - | - | 3% | 12% | 30% | 37% | 17% |
5 | HE Lawrence | - | 1% | 7% | 26% | 39% | 23% | 5% |
6 | ATANASIO Joseph | - | 4% | 25% | 41% | 25% | 5% | |
7 | LEHR William D. | - | - | 1% | 7% | 26% | 43% | 24% |
8 | MARRAN Erik R. | - | 3% | 14% | 33% | 36% | 13% | |
9 | DOTSON Gus | - | - | 1% | 9% | 43% | 47% | |
10 | MCCOMISKEY Aiden J. | - | 1% | 5% | 18% | 33% | 31% | 12% |
11 | DOLMETSCH Max | - | - | 4% | 23% | 50% | 24% | |
12 | KWONG Jason | 1% | 7% | 24% | 37% | 25% | 6% | |
13 | FENWICK Luke A. | - | 3% | 14% | 32% | 33% | 15% | 3% |
13 | LEVY Jeffrey M. | - | 1% | 6% | 25% | 40% | 24% | 3% |
15 | HANRATTY Liam | - | 3% | 12% | 27% | 33% | 20% | 5% |
16 | PATENAUDE Kameron | 1% | 12% | 37% | 38% | 11% | 1% | |
17 | PERSAUD Daivik | - | 1% | 5% | 18% | 34% | 31% | 11% |
18 | KOBI Samuel | - | 5% | 18% | 33% | 29% | 12% | 2% |
19 | TUMIBAY Noah C. | 1% | 11% | 31% | 36% | 17% | 3% | |
20 | SIDDIQUI HUMZA K. | - | 1% | 7% | 25% | 42% | 25% | |
21 | O'BRIEN Timothy S. | 3% | 15% | 30% | 30% | 17% | 5% | 1% |
22 | WANG Eric S | - | 3% | 13% | 29% | 33% | 17% | 3% |
23 | GALLANT Antoine | - | - | 3% | 15% | 34% | 35% | 12% |
24 | LIBERT Brian | 6% | 25% | 38% | 24% | 6% | 1% | - |
25 | BUSH Thomas | - | 1% | 8% | 31% | 47% | 14% | |
26 | JIN Owen | - | 1% | 10% | 31% | 40% | 18% | |
27 | BURKE Cyril | - | 2% | 13% | 35% | 38% | 13% | |
28 | WISNIEWSKI Bart | 2% | 17% | 38% | 32% | 10% | 1% | |
29 | KHALITOV Alexander | 12% | 36% | 35% | 14% | 3% | - | |
30 | ALAVOSUS James J. | 5% | 21% | 36% | 27% | 10% | 1% | |
31 | BORODITSKY Ethan | - | - | 3% | 13% | 31% | 36% | 16% |
32 | GORTI Agustya | 16% | 39% | 32% | 11% | 2% | - | |
33 | YEE Charles E. | - | 1% | 8% | 26% | 41% | 24% | |
34 | PAHLAVI Kamran | 3% | 19% | 35% | 28% | 11% | 2% | - |
35 | SCHICKER Glenn | - | 4% | 23% | 40% | 27% | 7% | |
36 | BANKULLA Nihal R. | 1% | 9% | 30% | 38% | 19% | 3% | |
37 | BASOK Nikita | 3% | 16% | 31% | 30% | 15% | 4% | - |
38 | DYER Ian E. | - | 4% | 15% | 30% | 31% | 16% | 4% |
39 | SIMPSON Patrick | - | 3% | 19% | 37% | 30% | 10% | 1% |
40 | BAZURO Andrew | - | 5% | 21% | 38% | 29% | 7% | |
41 | SINGH Laekhram | 4% | 20% | 36% | 28% | 10% | 1% | |
42 | SUN Jason | 5% | 29% | 42% | 21% | 3% | - | |
43 | PRIHODKO Max | 10% | 33% | 36% | 17% | 4% | - | |
44 | FURST Matthew C. | - | 4% | 18% | 35% | 30% | 11% | 2% |
45 | CAFASSO martin | 13% | 33% | 33% | 16% | 4% | 1% | - |
46 | STEWART Charlie | - | 7% | 28% | 37% | 22% | 5% | - |
47 | SEELEY Charlie | 27% | 44% | 24% | 5% | - | - | - |
47 | TSUI Matthew | 6% | 23% | 35% | 25% | 9% | 2% | - |
49 | STALL-RYAN Jonathan | 12% | 37% | 35% | 14% | 2% | - | - |
50 | CHEN Jun Ho | 29% | 42% | 23% | 6% | 1% | - | - |
51 | KAZAN Matt | 24% | 41% | 26% | 8% | 1% | - | |
52 | FAN Russell | 31% | 47% | 18% | 3% | - | - | |
53 | KAPLAN Alejandro | 6% | 32% | 41% | 18% | 2% | - | |
54 | ANDERSON Riley | 28% | 44% | 23% | 5% | - | - | |
55 | STEVENS George | - | 1% | 9% | 27% | 39% | 22% | 3% |
56 | LOMBARDO WillIam | 8% | 37% | 37% | 15% | 3% | - | - |
57 | CHEN Austin | 2% | 13% | 30% | 33% | 18% | 4% | - |
58 | WANG Darren | 12% | 31% | 33% | 18% | 5% | 1% | - |
59 | CORRADO Bradford D. | 5% | 23% | 36% | 26% | 9% | 2% | - |
60 | MISHIMA Torata | 2% | 13% | 28% | 32% | 19% | 5% | 1% |
61 | HA ETHAN | 8% | 28% | 36% | 21% | 6% | 1% | - |
62 | SUN Jeffery | 35% | 48% | 15% | 2% | - | - | |
62 | GAO Daniel | 21% | 41% | 28% | 8% | 1% | - | |
64 | BYARS John | 54% | 37% | 8% | 1% | - | - | |
65 | GWINN William | 66% | 30% | 4% | - | - | - | - |
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.