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 | CHIN Isabella | 100% | 100% | 100% | 99% | 93% | 70% | 29% |
| 2 | PAPADAKIS Lily | 100% | 100% | 98% | 87% | 59% | 24% | 4% |
| 3 | ZHANG Tina | 100% | 100% | 99% | 89% | 55% | 15% | |
| 3 | KOWALSKY Rachel A. | 100% | 100% | 99% | 92% | 64% | 22% | |
| 5 | ALVIDREZ Francesca A. | 100% | 100% | 99% | 91% | 67% | 31% | 6% |
| 6 | WADE-CURRIE Ava S. | 100% | 100% | 100% | 98% | 84% | 40% | |
| 7 | LIN Katie Y. | 100% | 100% | 100% | 100% | 96% | 80% | 41% |
| 8 | LUO Ashley | 100% | 100% | 98% | 81% | 43% | 9% | |
| 9 | MCLANE Lauren | 100% | 100% | 100% | 100% | 98% | 87% | 49% |
| 10 | FALLON Kyle R. | 100% | 100% | 100% | 91% | 56% | 13% | |
| 11 | KOKES Ava | 100% | 100% | 98% | 88% | 63% | 28% | 5% |
| 12 | SUN XiaoQi (Angelica) | 100% | 100% | 99% | 89% | 56% | 16% | |
| 13 | LONG Cindy | 100% | 100% | 100% | 97% | 83% | 51% | 14% |
| 14 | BAJAJ Nikita K. | 100% | 100% | 98% | 88% | 62% | 27% | 5% |
| 15 | KUZNETSOV Victoria | 100% | 100% | 100% | 95% | 72% | 28% | |
| 16 | KIM Diane E. | 100% | 100% | 99% | 92% | 63% | 20% | |
| 17 | KIM Rachael | 100% | 100% | 98% | 82% | 43% | 10% | |
| 18 | TEMIRYAEV Anna M. | 100% | 100% | 100% | 98% | 88% | 60% | 21% |
| 19 | LEE Olive | 100% | 100% | 96% | 79% | 47% | 16% | 2% |
| 20 | DE JAGER Celine | 100% | 99% | 91% | 67% | 33% | 9% | 1% |
| 21 | YAO KATHARINE | 100% | 100% | 97% | 84% | 54% | 19% | 2% |
| 22 | LIN Julia L. | 100% | 98% | 86% | 56% | 23% | 5% | - |
| 23 | SMOTRITSKY Mia | 100% | 92% | 64% | 29% | 7% | 1% | - |
| 24 | OSTROVSKY Emily I. | 100% | 91% | 63% | 29% | 8% | 1% | - |
| 25 | NGUYEN Kira | 100% | 99% | 92% | 71% | 38% | 11% | 1% |
| 26 | GAJJALA Sharika R. | 100% | 100% | 96% | 75% | 35% | 7% | |
| 27 | GU Sarah | 100% | 100% | 100% | 98% | 86% | 55% | 17% |
| 28 | YANG Chloe | 100% | 98% | 84% | 54% | 22% | 5% | - |
| 29 | ZAKHAROV Anne E. | 100% | 96% | 72% | 34% | 9% | 1% | - |
| 29 | BOOK Ayelet | 100% | 90% | 57% | 20% | 4% | - | - |
| 31 | BANKULLA Misha R. | 100% | 90% | 60% | 25% | 6% | 1% | - |
| 32 | WITTE Vera | 100% | 88% | 41% | 9% | 1% | - | |
| 33 | YAO Jillian | 100% | 100% | 97% | 83% | 49% | 16% | 2% |
| 34 | YIN Julia | 100% | 100% | 99% | 92% | 67% | 29% | 5% |
| 35 | MA ELISE | 100% | 97% | 79% | 46% | 16% | 3% | - |
| 36 | FAZZINI Angelina | 100% | 100% | 92% | 47% | 11% | 1% | |
| 37 | GAO Judy | 100% | 99% | 81% | 37% | 8% | 1% | |
| 38 | LEE Yedda | 100% | 100% | 93% | 65% | 25% | 4% | |
| 39 | TOLBA Salma | 100% | 100% | 98% | 85% | 49% | 12% | |
| 40 | MING Cynthia | 100% | 99% | 91% | 68% | 34% | 9% | 1% |
| 41 | HOSANAGAR Inchara | 100% | 64% | 21% | 4% | - | - | - |
| 42 | ZENG Katrina | 100% | 99% | 88% | 61% | 28% | 7% | 1% |
| 43 | HU Chelsea | 100% | 94% | 49% | 11% | 1% | - | |
| 44 | CHERNYSHOVA Victoria | 100% | 100% | 99% | 86% | 44% | 8% | |
| 45 | BONAR Natalia | 100% | 59% | 12% | 1% | - | - | |
| 46 | HILL Phoebe | 100% | 96% | 75% | 40% | 13% | 2% | - |
| 47 | FLO Sena | 100% | 89% | 56% | 22% | 5% | - | - |
| 48 | SHI Joyce | 100% | 34% | 4% | - | - | - | |
| 49 | LIU Nicole | 100% | 67% | 16% | 2% | - | - | |
| 50 | REMEZA Alissa | 100% | 100% | 94% | 64% | 23% | 3% | |
| 51 | JIA Elizabeth | 100% | 59% | 9% | - | - | - | |
| 52 | LI Alisha | 100% | 98% | 86% | 56% | 23% | 5% | - |
| 53 | HONG Isabella | 100% | 90% | 58% | 23% | 5% | 1% | - |
| 54 | RAI Ananya | 100% | 89% | 57% | 22% | 5% | - | - |
| 55 | PADHYE Tanishka | 100% | 100% | 98% | 85% | 52% | 17% | 2% |
| 56 | SHON Celine | 100% | 56% | 7% | - | - | - | |
| 57 | HILLYER Megan | 100% | 23% | 2% | - | - | - | |
| 58 | MARTINO Alessandra | 100% | 71% | 30% | 7% | 1% | - | - |
| 59 | KRUMHOLZ Nicole | 100% | 80% | 42% | 13% | 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.