Brockport, NY - Brockport, NY, 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 | BOIS Adele | 100% | 100% | 100% | 97% | 83% | 48% | 11% |
| 2 | HILD Nisha | 100% | 100% | 97% | 82% | 49% | 16% | 2% |
| 3 | CHIANG Emily | 100% | 100% | 91% | 62% | 25% | 4% | |
| 3 | LU Elaine | 100% | 100% | 98% | 86% | 53% | 15% | |
| 5 | PROCACCINI Ashten V. | 100% | 100% | 99% | 92% | 68% | 26% | |
| 6 | CHAPMAN-LAYLAND Astrid M. | 100% | 96% | 74% | 37% | 10% | 1% | |
| 7 | PASHIN Anna | 100% | 100% | 98% | 86% | 54% | 16% | |
| 8 | CHEN Celina Z. | 100% | 63% | 22% | 4% | - | - | |
| 9 | FERRARI-BRIDGERS Marinella O. | 100% | 100% | 99% | 93% | 68% | 25% | |
| 10 | JAVERI Amaya | 100% | 99% | 82% | 46% | 14% | 2% | |
| 11 | YU Melinda | 100% | 100% | 100% | 99% | 94% | 73% | 32% |
| 12 | HUANG Caroline | 100% | 97% | 80% | 45% | 13% | 2% | |
| 13 | NATHANSON Samantha E. | 100% | 100% | 96% | 78% | 43% | 10% | |
| 14 | LEE Sophia | 100% | 99% | 92% | 68% | 32% | 8% | 1% |
| 15 | LAU Dara L. | 100% | 92% | 64% | 28% | 7% | 1% | - |
| 16 | SADOVA Olga | 100% | 97% | 79% | 44% | 13% | 2% | |
| 17 | JOHNSON Dagny L. | 100% | 100% | 97% | 81% | 46% | 12% | |
| 17 | SHIH Christina | 100% | 99% | 87% | 53% | 18% | 2% | |
| 19 | YUN Emma | 100% | 90% | 55% | 19% | 3% | - | |
| 20 | MU Vicki Y. | 100% | 99% | 88% | 56% | 20% | 3% | |
| 21 | KIM Marley I. | 100% | 98% | 83% | 49% | 15% | 2% | |
| 22 | GUTHIKONDA Sunanya | 100% | 95% | 72% | 35% | 10% | 1% | - |
| 23 | MCKEE Ainsley | 100% | 73% | 31% | 7% | 1% | - | - |
| 24 | ZHIZHIN Jeanette | 100% | 66% | 24% | 4% | - | - | |
| 24 | LITVAK-HINENZON Michaela | 100% | 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.