Beaverton, OR - Beaverton, OR, 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 | CARRIER Gabriel A. | 100% | 100% | 100% | 92% | 62% | 20% | |
2 | WOLFE Alex | 100% | 100% | 97% | 74% | 32% | 5% | |
3 | MACARTY Jordan T. | 100% | 100% | 100% | 100% | 97% | 81% | 39% |
3 | NOEL Sebastien A. | 100% | 100% | 100% | 100% | 98% | 85% | 45% |
5 | DAVOODIAN Christopher | 100% | 99% | 92% | 67% | 30% | 6% | |
6 | DU SHUNYU K. | 100% | 100% | 96% | 78% | 43% | 12% | 1% |
7 | CHIN Dylan A. | 100% | 99% | 93% | 67% | 31% | 7% | 1% |
8 | TIKHOMIROV Theodore | 100% | 100% | 96% | 78% | 42% | 11% | |
9 | BAZHENOV Anthony | 100% | 100% | 96% | 78% | 43% | 11% | |
10 | SINGH Jaskirat | 100% | 90% | 60% | 25% | 6% | 1% | - |
11 | YAO Geoffrey B. | 100% | 100% | 99% | 91% | 61% | 19% | |
12 | JUNG Won Joon | 100% | 100% | 96% | 79% | 45% | 13% | 1% |
13 | KNUDSEN Travis | 100% | 96% | 79% | 47% | 17% | 3% | - |
14 | DAO Alexander | 100% | 100% | 99% | 92% | 67% | 29% | 5% |
15 | YU Austin | 100% | 91% | 62% | 27% | 7% | 1% | - |
16 | SHA Michael | 100% | 99% | 92% | 70% | 36% | 9% | 1% |
17 | HAMZA Tudor | 100% | 99% | 91% | 65% | 29% | 5% | |
18 | STRONG David | 100% | 97% | 81% | 49% | 18% | 3% | - |
19 | PARKS Isaac | 100% | 100% | 97% | 72% | 31% | 5% | |
20 | KAO Yishane | 100% | 100% | 99% | 94% | 75% | 39% | 8% |
21 | RAHMAN Yousef | 100% | 73% | 31% | 7% | 1% | - | |
22 | BUERGISSER Kai | 100% | 80% | 21% | 2% | - | - | |
23 | NG Biwon | 100% | 77% | 32% | 7% | 1% | - | - |
24 | CHOI Zachary | 100% | 85% | 47% | 15% | 2% | - | |
25 | DONDISCH ilan | 100% | 36% | 3% | - | - | - | |
26 | BUERGISSER Tae | 100% | 70% | 25% | 5% | - | - | - |
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.