Rain City Fencing Center - Bellevue, 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 | ||
| 1 | BEDWORTH Alistair | 100% | 100% | 100% | 96% | 78% | 36% |
| 2 | KUANG Vincent | 100% | 99% | 88% | 57% | 21% | 3% |
| 3 | RYU Greyson | 100% | 100% | 99% | 93% | 65% | 19% |
| 3 | CHEUNG Iain | 100% | 100% | 99% | 91% | 64% | 23% |
| 5 | ZHENG Jonathan | 100% | 99% | 90% | 59% | 18% | |
| 6 | BHUPATHIRAJU Arjun | 100% | 100% | 98% | 82% | 38% | |
| 7 | HO Christopher | 100% | 100% | 97% | 81% | 46% | 11% |
| 8 | PAINTER Zachary | 100% | 99% | 93% | 68% | 31% | 6% |
| 9 | WEI-NAVARRO Augustus | 100% | 100% | 100% | 98% | 85% | 42% |
| 10 | PESKIN Kepler | 100% | 99% | 92% | 64% | 19% | |
| 11 | CAO Sean | 100% | 98% | 85% | 51% | 16% | 2% |
| 12 | LO Enzo | 100% | 100% | 94% | 70% | 32% | 6% |
| 13 | CHANG Austin | 100% | 82% | 42% | 12% | 2% | - |
| 14 | SAVAGE Angus | 100% | 99% | 92% | 64% | 22% | 3% |
| 15 | CHEN Kurtis | 100% | 99% | 89% | 56% | 16% | |
| 16 | LI Alex | 100% | 86% | 47% | 12% | 1% | |
| 17 | SUN Oliver | 100% | 99% | 87% | 52% | 14% | |
| 18 | RYU Griffin | 100% | 81% | 39% | 9% | 1% | |
| 20 | QIU Yiran | 100% | 68% | 24% | 4% | - | |
| 22 | KIM Caleb | 100% | 96% | 76% | 39% | 10% | 1% |
| 23 | MA Madrid | 100% | 88% | 51% | 15% | 2% | - |
| 24 | CHEN William (Max) | 100% | 89% | 53% | 15% | 2% | - |
| 25 | LAM Lazarus | 100% | 96% | 71% | 33% | 8% | 1% |
| 26 | ZHENG Michael | 100% | 81% | 36% | 8% | 1% | |
| 27 | PROSSER Zachary | 100% | 82% | 40% | 9% | 1% | |
| 28 | CHO Yejin | 100% | 71% | 27% | 5% | - | - |
| 29 | ZHANG Dennis | 100% | 80% | 40% | 11% | 1% | - |
| 30 | XU Alastair | 100% | 48% | 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.