San Jose, CA - San Jose, CA, 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 | 7 | ||
| 1 | KIBBAR Tomer L. | 100% | 100% | 100% | 100% | 99% | 92% | 67% | 26% |
| 2 | CHAN Aidan | 100% | 100% | 99% | 95% | 81% | 53% | 22% | 4% |
| 3 | JEFFRY Nicholas B. | 100% | 100% | 100% | 100% | 96% | 81% | 47% | 12% |
| 3 | LIU Christopher X. | 100% | 100% | 99% | 95% | 78% | 45% | 15% | 2% |
| 5 | SOUTHWORTH Nathaniel | 100% | 100% | 99% | 92% | 72% | 41% | 14% | 2% |
| 6 | LIN Daniel | 100% | 100% | 100% | 99% | 94% | 72% | 30% | |
| 7 | LO Andrew T. | 100% | 100% | 97% | 83% | 55% | 23% | 5% | - |
| 8 | RAMANAN Jaisimh | 100% | 100% | 99% | 93% | 75% | 44% | 16% | 2% |
| 9 | WINER Heath B. | 100% | 97% | 82% | 49% | 18% | 3% | - | |
| 10 | KIM Ryan | 100% | 97% | 82% | 53% | 24% | 7% | 1% | - |
| 11 | YANG Dylan | 100% | 100% | 100% | 98% | 90% | 68% | 34% | 8% |
| 12 | ZHANG Yankun | 100% | 99% | 92% | 69% | 34% | 9% | 1% | |
| 13 | POFF Kainoa | 100% | 93% | 69% | 34% | 10% | 2% | - | - |
| 14 | CAISSE Simon B. | 100% | 97% | 81% | 48% | 17% | 3% | - | |
| 15 | YUNG Andrew | 100% | 91% | 62% | 27% | 8% | 1% | - | - |
| 16 | PATEL Yash | 100% | 99% | 89% | 64% | 32% | 10% | 2% | - |
| 17 | STONE Brad | 100% | 71% | 30% | 7% | 1% | - | - | |
| 18 | RAMANAN Govind | 100% | 100% | 95% | 80% | 52% | 23% | 6% | 1% |
| 19 | JUNG Edward | 100% | 100% | 98% | 89% | 64% | 28% | 5% | |
| 20 | BULLARD Bennett | 100% | 100% | 94% | 71% | 36% | 10% | 1% | |
| 21 | RAMTEKKAR Soham | 100% | 93% | 67% | 33% | 9% | 1% | - | - |
| 22 | LI Seth | 100% | 93% | 63% | 26% | 6% | 1% | - | - |
| 23 | TUNG Ryan | 100% | 89% | 58% | 24% | 6% | 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.