Suffern, NY - Suffern, NY, 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 | BEZRODNOV Alexander | 100% | 100% | 100% | 100% | 96% | 74% | 30% |
2 | SKORUPAN Grant | 100% | 100% | 99% | 92% | 63% | 19% | |
3 | BEZRODNOV Michael | 100% | 100% | 100% | 99% | 88% | 39% | |
3 | GONG Haixiang | 100% | 100% | 97% | 82% | 50% | 16% | 1% |
5 | IVKOV Dmitriy | 100% | 100% | 98% | 88% | 60% | 22% | 2% |
6 | SHCHUR Landon | 100% | 100% | 100% | 100% | 100% | 94% | 64% |
7 | THAKUR Om S. | 100% | 100% | 100% | 98% | 87% | 51% | 12% |
8 | XIE Brandon | 100% | 100% | 95% | 71% | 29% | 5% | |
9 | WALCH Logan | 100% | 99% | 86% | 50% | 14% | 2% | - |
10 | BRODSKY Julian | 100% | 100% | 100% | 96% | 74% | 30% | |
11 | ARAVIND Athreya | 100% | 97% | 67% | 25% | 4% | - | |
12 | ZAYDMAN Ethan | 100% | 100% | 100% | 98% | 82% | 34% | |
13 | IARIKOV Nicholas | 100% | 100% | 100% | 99% | 88% | 52% | 13% |
14 | TSE Maxwell | 100% | 98% | 86% | 56% | 22% | 4% | - |
15 | IVKOV Alexander | 100% | 98% | 78% | 35% | 5% | - | |
16 | STEPHENSON Jacob | 100% | 70% | 25% | 4% | - | - | |
17 | OTTO Nathaniel B. | 100% | 97% | 75% | 32% | 4% | - | |
18 | LING Jason | 100% | 98% | 81% | 42% | 10% | 1% | - |
19 | HUANG Logan | 100% | 70% | 28% | 6% | 1% | - | - |
20 | PAVLENISHVILI Luke | 100% | 98% | 82% | 41% | 10% | 1% | |
21 | HARNETT William | 100% | 72% | 22% | 3% | - | - | |
22 | BLUMBERG William | 100% | 96% | 59% | 18% | 3% | - | - |
23 | LAI Boden | 100% | 73% | 26% | 4% | - | - | - |
24 | HU Robert J. | 100% | 76% | 32% | 7% | 1% | - | - |
25 | BEJA Christopher | 100% | 36% | 5% | - | - | - | |
26 | ROLAND Mackinley | 100% | 99% | 89% | 60% | 24% | 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.