Secaucus, NJ - Secaucus, NJ, 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 | SU Evelyn | 100% | 100% | 99% | 93% | 68% | 23% | |
| 2 | YIN Julia | 100% | 100% | 100% | 100% | 100% | 100% | 92% |
| 3 | CAFASSO Natalya | 100% | 100% | 100% | 96% | 80% | 46% | 12% |
| 3 | LEE Scarlett | 100% | 100% | 100% | 96% | 76% | 31% | |
| 5 | KUMAR Eva | 100% | 100% | 96% | 78% | 41% | 10% | |
| 6 | SMUK Alexandra S. | 100% | 100% | 97% | 81% | 47% | 13% | |
| 7 | NIX Reagan | 100% | 99% | 91% | 66% | 29% | 7% | 1% |
| 8 | LEE Gloria | 100% | 99% | 89% | 61% | 25% | 5% | |
| 9 | KRISHNA Avni | 100% | 100% | 98% | 83% | 46% | 11% | 1% |
| 10 | LI ZEHUI | 100% | 99% | 89% | 63% | 29% | 6% | - |
| 11 | PAN Angela | 100% | 96% | 77% | 43% | 14% | 2% | - |
| 12 | LI Olivia | 100% | 99% | 90% | 60% | 23% | 4% | |
| 13 | LEE Claire | 100% | 86% | 48% | 14% | 2% | - | |
| 14 | MISHIMA Audrey | 100% | 70% | 25% | 4% | - | - | |
| 15 | MEYER Rebecca | 100% | 99% | 83% | 46% | 14% | 2% | |
| 16 | NOVOJILOV Anastasia | 100% | 100% | 95% | 77% | 43% | 12% | - |
| 17 | LI Azalea | 100% | 100% | 99% | 95% | 79% | 44% | 11% |
| 18 | ALVES Arianna | 100% | 96% | 72% | 34% | 8% | 1% | - |
| 19 | GANSER Nicole | 100% | 86% | 51% | 18% | 4% | - | - |
| 20 | FAN Anina | 100% | 85% | 50% | 18% | 3% | - | - |
| 21 | LIN Laura | 100% | 34% | 5% | - | - | - | |
| 22 | PRESMAN Aerin | 100% | 95% | 69% | 26% | 4% | - | |
| 23 | SHAYAKHMETOVA Suzanna | 100% | 81% | 41% | 11% | 2% | - | - |
| 24 | JEYOON Lauren | 100% | 99% | 92% | 68% | 32% | 7% | - |
| 25 | SUN Elyssa | 100% | 100% | 94% | 73% | 36% | 9% | 1% |
| 26 | KROPP Anne | 100% | 100% | 94% | 61% | 13% | 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.