Salle Auriol Seattle - Seattle, WA, 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 | MORENO BRIONES Patricio A. | 100% | 100% | 100% | 100% | 100% | 100% | 98% |
| 2 | CAMERON Matt W. | 100% | 100% | 100% | 100% | 97% | 48% | |
| 3 | KOEHN Ted | 100% | 100% | 100% | 99% | 85% | 39% | |
| 3 | FLANAGAN James | 100% | 100% | 100% | 96% | 69% | 14% | |
| 5 | VALENTINE Iain | 100% | 100% | 100% | 98% | 81% | 31% | - |
| 6 | TANG Julian | 100% | 100% | 100% | 100% | 97% | 46% | |
| 7 | ESTELL Oscar M. | 100% | 100% | 100% | 100% | 95% | 53% | |
| 8 | POWERS Douglas A. | 100% | 100% | 100% | 99% | 86% | 41% | - |
| 9 | WU Jingxiao | 100% | 100% | 96% | 69% | 15% | 1% | |
| 10 | LUTTON Thomas (Tom) W. | 100% | 100% | 100% | 99% | 85% | 30% | |
| 11 | KRYLTSOV Greg | 100% | 100% | 96% | 66% | 6% | - | |
| 12 | GELLER Alan S. | 100% | 97% | 77% | 35% | 6% | - | - |
| 13 | RODRIGUEZ VINCENT | 100% | 99% | 75% | 23% | 2% | - | |
| 14 | REED David | 100% | 40% | 6% | - | - | - | |
| 15 | HOLCOMB Michael | 100% | 62% | 12% | 1% | - | - | |
| 16 | MONES Robert (Bob) J. | 100% | 97% | 70% | 17% | - | - | |
| 17 | BERKE Daniel (Dan) L. | 100% | 100% | 92% | 55% | 12% | 1% | |
| 18 | HUESKE David B. | 100% | 95% | 62% | 21% | 3% | - | |
| 19 | AMMAR Sam | 100% | 27% | 2% | - | - | - | |
| 20 | ALLAN Peter L. | 100% | 98% | 80% | 39% | 7% | - | - |
| 21 | LISONDRA Jay | 100% | 91% | 55% | 16% | 2% | - | - |
| 22 | WALTERS John | 100% | 66% | 18% | 1% | - | - | |
| 23 | TEARSE Robert G. | 100% | 89% | 37% | 5% | - | - | |
| 24 | VAN STEIN Thomas | 100% | 97% | 77% | 34% | 5% | - | |
| 25 | KLEINMAN Joseph | 100% | 50% | 11% | 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.