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 | ||
1 | LEE Noah | - | - | 1% | 10% | 41% | 48% |
2 | LAI Coby | - | 2% | 12% | 31% | 37% | 17% |
3 | MORSE Tyler | - | 1% | 6% | 25% | 42% | 26% |
3 | RICHARD Owen | - | 1% | 8% | 29% | 42% | 21% |
5 | HANRATTY Liam | - | 3% | 17% | 37% | 33% | 9% |
6 | KOBI Samuel | - | 2% | 10% | 30% | 39% | 19% |
7 | LIEF Isaac R. | - | 1% | 7% | 30% | 47% | 17% |
8 | BASOK Nikita | 1% | 9% | 31% | 38% | 18% | 3% |
9 | KOKENGE Reid | - | 6% | 25% | 39% | 24% | 5% |
10 | CHATZIKALFAS Dimitris E. | - | 2% | 13% | 33% | 37% | 14% |
11 | JUN Jaywu | - | 2% | 12% | 32% | 38% | 16% |
12 | LEE Hudson | 4% | 20% | 37% | 28% | 10% | 1% |
13 | PAHLAVI Kamran | 1% | 7% | 24% | 38% | 25% | 6% |
14 | CHOI Mason | - | 7% | 29% | 43% | 19% | 2% |
15 | MISHIMA Torata | 1% | 8% | 24% | 36% | 25% | 6% |
16 | KHALITOV Alexander | 2% | 26% | 45% | 23% | 4% | - |
17 | CHAN Kyle | 2% | 15% | 35% | 33% | 13% | 2% |
18 | MARTINEZ Joshua | 12% | 38% | 34% | 13% | 2% | - |
19 | NESTERCZUK Maddox W. | 45% | 40% | 13% | 2% | - | - |
20 | CHEN Austin | 4% | 19% | 35% | 30% | 12% | 2% |
21 | SCHADE Lucas | 2% | 31% | 44% | 20% | 3% | - |
22 | PRADHAN Aryan | 19% | 41% | 29% | 9% | 1% | - |
23 | FINLAYSON Stanley | 10% | 43% | 35% | 11% | 1% | - |
24 | COTAJ Andrew | 1% | 12% | 35% | 35% | 14% | 2% |
24 | ROWE Jason | 3% | 19% | 37% | 30% | 10% | 1% |
26 | YAGODA jace | 1% | 11% | 31% | 38% | 16% | 2% |
27 | FUSSMAN Yuval | 20% | 41% | 29% | 9% | 1% | - |
28 | BHATT Krish | 16% | 36% | 31% | 13% | 3% | - |
29 | GAO Daniel | 33% | 43% | 19% | 4% | - | - |
30 | WANG Max S | 82% | 17% | 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.