San Jose, CA, 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 | VIDOVSZKY Tamas J. | - | - | - | - | 11% | 88% |
| 2 | THORNTON Ronald J. | - | - | - | 2% | 21% | 78% |
| 3 | BECKER William L. | - | - | - | 2% | 20% | 78% |
| 3 | PHILLIPS Kim V. | - | - | 2% | 19% | 52% | 27% |
| 5 | BACON Michael F. | - | - | - | 6% | 43% | 51% |
| 6 | ZIPPER Michael E. | - | 1% | 10% | 37% | 46% | 6% |
| 7 | FLOYD Dale | - | 1% | 9% | 37% | 50% | 4% |
| 8 | GRAFF Jon | - | 6% | 29% | 46% | 18% | 1% |
| 9 | ESCUETA Jr Antonio V. | - | 7% | 32% | 45% | 14% | - |
| 10 | KAOURIS George | - | 6% | 24% | 42% | 26% | 2% |
| 11 | MIGHELL Jason | - | 8% | 39% | 47% | 6% | - |
| 12 | RICHARDSON Troy A. | 1% | 32% | 47% | 19% | 1% | - |
| 13 | MARTINEZ Mario D. | 1% | 9% | 30% | 40% | 19% | 1% |
| 14 | UYANIK Muhammet | 13% | 43% | 35% | 9% | 1% | - |
| 15 | ZOLLER Matthew | 15% | 42% | 34% | 8% | 1% | - |
| 16 | CHEN Lester | 7% | 28% | 39% | 22% | 4% | - |
| 17 | RYBKIN Alexander V. | 8% | 32% | 40% | 18% | 3% | - |
| 18 | MEHTA Nalin J. | 28% | 45% | 23% | 4% | - | - |
| 19 | YOUNG Nick | 2% | 27% | 43% | 23% | 5% | - |
| 20 | DALRYMPLE Sr. Ronald W. | 10% | 36% | 37% | 15% | 2% | - |
| 21 | KORINTH Steve | 48% | 40% | 10% | 1% | - | - |
| 22 | ZINNI Gene | 4% | 27% | 44% | 22% | 3% | - |
| 23 | STONE Brad | 35% | 45% | 18% | 2% | - | - |
| 24 | CHANG LAWRENCE | 86% | 13% | - | - | - | - |
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.