Carrollton, TX - Carrollton, TX, 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 | KEHOE James E. | 100% | 100% | 100% | 97% | 71% | 24% | |
| 2 | GYURE Brayden H. | 100% | 100% | 100% | 98% | 87% | 57% | 18% |
| 3 | ODEN Isaac M. | 100% | 100% | 99% | 87% | 53% | 13% | |
| 3 | JAYENDRA Chandrashekar | 100% | 100% | 100% | 98% | 85% | 42% | |
| 5 | FRAY Alexander | 100% | 100% | 100% | 96% | 60% | 14% | |
| 6 | CASTLEMAN Levi | 100% | 100% | 99% | 91% | 62% | 19% | |
| 7 | KAUFMANN Connor G. | 100% | 98% | 86% | 55% | 20% | 3% | |
| 8 | VENKAT Rakesh | 100% | 100% | 94% | 69% | 28% | 4% | |
| 9 | STONE Henry J. | 100% | 100% | 99% | 88% | 57% | 21% | 3% |
| 10 | MARICONDA Christopher | 100% | 100% | 98% | 87% | 55% | 16% | |
| 11 | MUGA Boris | 100% | 99% | 93% | 72% | 36% | 9% | |
| 12 | LIOZNYANSKY Simon | 100% | 100% | 100% | 96% | 76% | 39% | 9% |
| 13 | SHIV Rishi | 100% | 95% | 75% | 41% | 13% | 2% | |
| 14 | PARKER Riley D. | 100% | 100% | 99% | 92% | 65% | 28% | 5% |
| 15 | BARGE Jackson | 100% | 86% | 49% | 15% | 2% | - | |
| 16 | HOLCOMB Wesley | 100% | 86% | 43% | 6% | - | - | |
| 17 | LAM Aaron R. | 100% | 75% | 31% | 6% | - | - | |
| 18 | KHANNA Nikhil | 100% | 100% | 96% | 72% | 33% | 8% | 1% |
| 19 | KARKI Salyan | 100% | 86% | 52% | 19% | 3% | - | |
| 20 | BENGANI Kanav | 100% | 88% | 51% | 15% | 2% | - | |
| 21 | OHAYON ROZANES Nimrod | 100% | 81% | 33% | 4% | - | - | |
| 22 | FLEMING Alistair T. | 100% | 81% | 34% | 5% | - | - | |
| 23 | TAYLOR William | 100% | 36% | 4% | - | - | - | - |
| 24 | SHETTY Surya | 100% | 91% | 62% | 27% | 6% | 1% | |
| 25 | RUNGE Patrick A. | 100% | 83% | 25% | 3% | - | - | - |
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.