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 | WONG Wesley C. | 100% | 100% | 100% | 96% | 80% | 46% | 12% |
| 2 | SINGS Lucas A. | 100% | 100% | 93% | 59% | 18% | 2% | |
| 3 | TANG Louise | 100% | 100% | 99% | 93% | 69% | 28% | |
| 3 | HAN Andersen Y. | 100% | 97% | 82% | 51% | 20% | 4% | - |
| 5 | OUTHRED Maya E. | 100% | 100% | 99% | 91% | 62% | 19% | |
| 6 | MURRY Quinn | 100% | 100% | 98% | 88% | 60% | 24% | 4% |
| 7 | STONE-MCNEIL Orion | 100% | 97% | 79% | 47% | 17% | 3% | - |
| 8 | MCINTOSH Caleb D. | 100% | 94% | 64% | 25% | 5% | - | - |
| 9 | LEE Benjamin H. | 100% | 100% | 99% | 91% | 66% | 30% | 6% |
| 10 | CASTANEDA Erika L. | 100% | 100% | 100% | 98% | 84% | 38% | |
| 11 | DAVOODIAN Keyon | 100% | 100% | 96% | 81% | 50% | 18% | 3% |
| 12 | TANG Julian | 100% | 100% | 93% | 65% | 17% | 1% | |
| 13 | KLEIN Johannes | 100% | 100% | 97% | 83% | 52% | 19% | 3% |
| 14 | INOUE Ken T. | 100% | 95% | 65% | 21% | 3% | - | |
| 15 | SHAJI Karthik | 100% | 86% | 48% | 14% | 2% | - | |
| 16 | BERKE Dan L. | 100% | 86% | 45% | 10% | 1% | - | |
| 17 | JACOBSEN Isaac R. | 100% | 94% | 68% | 31% | 8% | 1% | - |
| 18 | DING Abigail | 100% | 98% | 82% | 46% | 11% | 1% | |
| 19 | CHEN Kelly | 100% | 100% | 98% | 86% | 56% | 22% | 3% |
| 20 | JIN Honggu | 100% | 87% | 46% | 11% | 1% | - | |
| 21 | BERK Theodore | 100% | 100% | 96% | 72% | 32% | 6% | |
| 23 | POWERS Douglas A. | 100% | 99% | 92% | 69% | 33% | 8% | - |
| 24 | OUTHRED Geoff | 100% | 98% | 88% | 63% | 31% | 9% | 1% |
| 25 | HAN Jae | 100% | 70% | 28% | 6% | 1% | - | |
| 26 | POWERS Kathryn | 100% | 96% | 76% | 40% | 12% | 2% | - |
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.