Secaucus, NJ - Secaucus, NJ, USA
Explore the pool victory probability density 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 | - | - | 1% | 6% | 23% | 41% | 29% |
| 2 | PAPADAKIS Lily | - | 2% | 11% | 28% | 35% | 20% | 4% |
| 3 | ZHANG Tina | - | 1% | 10% | 34% | 40% | 15% | |
| 3 | KOWALSKY Rachel A. | - | 1% | 7% | 28% | 42% | 22% | |
| 5 | ALVIDREZ Francesca A. | - | 1% | 8% | 24% | 36% | 25% | 6% |
| 6 | WADE-CURRIE Ava S. | - | - | 2% | 15% | 43% | 40% | |
| 7 | LIN Katie Y. | - | - | - | 3% | 16% | 40% | 41% |
| 8 | LUO Ashley | - | 2% | 17% | 39% | 33% | 9% | |
| 9 | MCLANE Lauren | - | - | - | 1% | 11% | 38% | 49% |
| 10 | FALLON Kyle R. | - | - | 9% | 35% | 43% | 13% | |
| 11 | KOKES Ava | - | 2% | 10% | 26% | 35% | 22% | 5% |
| 12 | SUN XiaoQi (Angelica) | - | 1% | 10% | 33% | 40% | 16% | |
| 13 | LONG Cindy | - | - | 3% | 13% | 33% | 36% | 14% |
| 14 | BAJAJ Nikita K. | - | 2% | 10% | 26% | 35% | 22% | 5% |
| 15 | KUZNETSOV Victoria | - | - | 5% | 23% | 44% | 28% | |
| 16 | KIM Diane E. | - | 1% | 7% | 29% | 43% | 20% | |
| 17 | KIM Rachael | - | 2% | 16% | 38% | 34% | 10% | |
| 18 | TEMIRYAEV Anna M. | - | - | 2% | 10% | 28% | 39% | 21% |
| 19 | LEE Olive | - | 4% | 17% | 32% | 31% | 14% | 2% |
| 20 | DE JAGER Celine | 1% | 8% | 24% | 34% | 24% | 8% | 1% |
| 21 | YAO KATHARINE | - | 3% | 13% | 30% | 34% | 17% | 2% |
| 22 | LIN Julia L. | 2% | 12% | 30% | 33% | 18% | 4% | - |
| 23 | SMOTRITSKY Mia | 8% | 28% | 36% | 21% | 6% | 1% | - |
| 24 | OSTROVSKY Emily I. | 9% | 28% | 34% | 21% | 7% | 1% | - |
| 25 | NGUYEN Kira | 1% | 7% | 21% | 33% | 26% | 10% | 1% |
| 26 | GAJJALA Sharika R. | - | 4% | 21% | 39% | 28% | 7% | |
| 27 | GU Sarah | - | - | 2% | 12% | 31% | 38% | 17% |
| 28 | YANG Chloe | 2% | 14% | 30% | 32% | 17% | 4% | - |
| 29 | ZAKHAROV Anne E. | 4% | 23% | 38% | 25% | 8% | 1% | - |
| 29 | BOOK Ayelet | 10% | 34% | 36% | 17% | 4% | - | - |
| 31 | BANKULLA Misha R. | 10% | 30% | 35% | 19% | 5% | 1% | - |
| 32 | WITTE Vera | 12% | 47% | 32% | 8% | 1% | - | |
| 33 | YAO Jillian | - | 3% | 14% | 33% | 34% | 14% | 2% |
| 34 | YIN Julia | - | 1% | 7% | 24% | 38% | 25% | 5% |
| 35 | MA ELISE | 3% | 17% | 33% | 30% | 13% | 3% | - |
| 36 | FAZZINI Angelina | - | 8% | 45% | 36% | 10% | 1% | |
| 37 | GAO Judy | 1% | 18% | 43% | 29% | 8% | 1% | |
| 38 | LEE Yedda | - | 6% | 29% | 39% | 21% | 4% | |
| 39 | TOLBA Salma | - | 2% | 14% | 36% | 36% | 12% | |
| 40 | MING Cynthia | 1% | 8% | 23% | 34% | 25% | 8% | 1% |
| 41 | HOSANAGAR Inchara | 36% | 43% | 18% | 3% | - | - | - |
| 42 | ZENG Katrina | 1% | 10% | 27% | 34% | 21% | 6% | 1% |
| 43 | HU Chelsea | 6% | 45% | 38% | 10% | 1% | - | |
| 44 | CHERNYSHOVA Victoria | - | 1% | 13% | 42% | 35% | 8% | |
| 45 | BONAR Natalia | 41% | 47% | 11% | 1% | - | - | |
| 46 | HILL Phoebe | 4% | 21% | 34% | 27% | 11% | 2% | - |
| 47 | FLO Sena | 11% | 32% | 35% | 17% | 4% | - | - |
| 48 | SHI Joyce | 66% | 30% | 4% | - | - | - | |
| 49 | LIU Nicole | 33% | 50% | 15% | 2% | - | - | |
| 50 | REMEZA Alissa | - | 5% | 30% | 41% | 20% | 3% | |
| 51 | JIA Elizabeth | 41% | 50% | 8% | - | - | - | |
| 52 | LI Alisha | 2% | 12% | 30% | 33% | 18% | 5% | - |
| 53 | HONG Isabella | 10% | 32% | 35% | 18% | 4% | 1% | - |
| 54 | RAI Ananya | 11% | 32% | 35% | 17% | 4% | - | - |
| 55 | PADHYE Tanishka | < 1% | 2% | 13% | 33% | 35% | 15% | 2% |
| 56 | SHON Celine | 44% | 49% | 7% | - | - | - | |
| 57 | HILLYER Megan | 77% | 21% | 2% | - | - | - | |
| 58 | MARTINO Alessandra | 29% | 41% | 23% | 6% | 1% | - | - |
| 59 | KRUMHOLZ Nicole | 20% | 39% | 29% | 11% | 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.