NYA Sports and Fitness Center - Newtown, CT, 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 | CHEN Jayden | - | - | - | 1% | 7% | 33% | 59% |
2 | AHMED Mohsen | - | - | - | 2% | 14% | 40% | 44% |
3 | KIM Henry | - | - | - | 1% | 6% | 32% | 61% |
3 | TRAN Spencer | - | - | - | 2% | 11% | 39% | 48% |
5 | KABA Elias | - | - | 1% | 8% | 33% | 50% | 8% |
6 | CAFASSO Alexander | 1% | 10% | 29% | 36% | 20% | 4% | |
7 | LIU Adam | - | - | - | - | 2% | 22% | 76% |
8 | SINGLETON Aman | - | - | 1% | 6% | 24% | 42% | 27% |
9 | YAMAGUCHI Yuzuki | - | - | 2% | 14% | 38% | 39% | 7% |
10 | CHEN Edward | - | 2% | 17% | 37% | 32% | 11% | 1% |
11 | SZCZAPA Lukas | - | 1% | 6% | 20% | 36% | 30% | 7% |
12 | GU Eric | 1% | 7% | 27% | 39% | 22% | 4% | - |
13 | ZHAI Junqi | - | 3% | 17% | 36% | 33% | 11% | |
14 | NG Nico | - | 1% | 8% | 26% | 38% | 24% | 3% |
15 | HENNESSY Levon | - | 2% | 15% | 35% | 33% | 13% | 2% |
16 | CHEN Daniel | - | 5% | 19% | 35% | 30% | 10% | 1% |
17 | TESFAYE Elias | - | - | 4% | 21% | 46% | 28% | |
18 | LYCHKO Maksym | - | - | 3% | 15% | 35% | 36% | 10% |
19 | WANG-SONG Evan | - | - | 4% | 21% | 46% | 29% | |
20 | SONG Aidan | - | 1% | 9% | 28% | 41% | 21% | |
21 | ZHANG Jonathan | - | 5% | 18% | 34% | 30% | 12% | 2% |
22 | HOLCOMB Liam | - | 2% | 11% | 29% | 36% | 19% | 2% |
23 | MANSFIELD Hunter | - | 3% | 23% | 40% | 26% | 7% | 1% |
24 | SOLARZ Arthur | - | 2% | 11% | 31% | 39% | 17% | |
25 | PARIGIAN Alexander | 3% | 17% | 34% | 31% | 13% | 2% | |
26 | WEISELBERG Mark | 1% | 9% | 28% | 35% | 21% | 6% | 1% |
27 | WANG Marcus | 1% | 10% | 31% | 37% | 18% | 3% | - |
28 | KHERSONSKY Robert | 1% | 9% | 25% | 35% | 23% | 7% | 1% |
29 | WHITE Jackson | 8% | 27% | 35% | 22% | 7% | 1% | - |
30 | BRESLAV Asher | 10% | 34% | 35% | 17% | 4% | - | - |
31 | WITHERELL Logan | 3% | 19% | 36% | 30% | 11% | 1% | |
32 | NOOL Aaron | 2% | 11% | 29% | 35% | 19% | 4% | - |
33 | YU David | 1% | 8% | 25% | 36% | 24% | 7% | - |
34 | LIN Junyi | - | - | - | 4% | 18% | 41% | 36% |
35 | FOGEL Jake | 1% | 5% | 19% | 34% | 30% | 11% | 1% |
36 | HELMY Richard | - | - | 3% | 13% | 33% | 37% | 14% |
37 | DAI Jason | 6% | 25% | 37% | 25% | 7% | 1% | |
38 | CHO Adrian | 6% | 28% | 41% | 21% | 4% | - | |
39 | NOOL Alexander | 1% | 6% | 21% | 35% | 28% | 10% | 1% |
40 | SMITH Theo | 3% | 16% | 32% | 32% | 15% | 3% | - |
41 | LAI Jayden | 4% | 18% | 34% | 30% | 12% | 2% | - |
42 | OPERT Emmett | - | 4% | 17% | 34% | 32% | 12% | |
43 | CHIANG William | 1% | 8% | 29% | 41% | 19% | 3% | |
44 | FRIZZELL Kai | 4% | 22% | 37% | 27% | 9% | 1% | |
45 | ARMSTRONG Payson | 2% | 16% | 34% | 32% | 14% | 2% | |
46 | MAZEL Antonin | 12% | 35% | 35% | 15% | 3% | - | - |
46 | LEE Ryan | 9% | 29% | 36% | 20% | 5% | 1% | - |
48 | ROBINSON Garrett | 1% | 11% | 30% | 35% | 19% | 4% | - |
49 | HANNA Alexander | 8% | 28% | 36% | 21% | 6% | 1% | - |
49 | LAW Oliver | 12% | 33% | 35% | 17% | 4% | - | - |
51 | BHANDARE Veer | 13% | 35% | 33% | 15% | 3% | - | - |
52 | ZHENG Jason | 9% | 29% | 36% | 20% | 5% | 1% | - |
53 | MA Brendon | 1% | 9% | 26% | 35% | 23% | 6% | - |
54 | SHAO Mason | 1% | 9% | 29% | 38% | 20% | 3% | - |
55 | HUEMMER James | 44% | 40% | 14% | 2% | - | - | |
56 | LANE Sawyer | 25% | 41% | 25% | 7% | 1% | - | |
57 | RICHARDSON Matthew | 20% | 43% | 29% | 7% | 1% | - | |
58 | AU Joshua | 12% | 33% | 34% | 16% | 4% | - | - |
59 | HONG Ethen | 6% | 24% | 36% | 25% | 8% | 1% | - |
60 | NABI Mikhail | 33% | 42% | 20% | 5% | 1% | - | - |
61 | WELCH Sebastian | 41% | 41% | 15% | 2% | - | - | - |
62 | SHI Evan | 28% | 51% | 18% | 3% | - | - | - |
63 | KIM Louie | 44% | 44% | 10% | 1% | - | - | - |
64 | ROBINSON Blake | 27% | 44% | 24% | 5% | - | - | |
65 | CIANCHETTA David | 11% | 38% | 35% | 13% | 2% | - | - |
66 | ZHENG Jasper | 12% | 32% | 34% | 17% | 4% | - | - |
67 | DALY Liam | < 1% | 13% | 34% | 33% | 16% | 3% | - |
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.