Madison, NJ - Madison, 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 | TOLBA Salma | - | - | 1% | 5% | 22% | 43% | 29% |
| 2 | TEMIRYAEV Anna M. | - | - | 3% | 15% | 40% | 41% | |
| 3 | LU Junyao | - | - | - | 2% | 16% | 43% | 39% |
| 3 | SAM Kayli | 1% | 8% | 26% | 35% | 23% | 7% | 1% |
| 5 | GOLDEN Danielle | 10% | 31% | 36% | 19% | 5% | - | |
| 6 | DESAI Meera P. | - | - | 2% | 10% | 29% | 40% | 19% |
| 7 | PERALTA-VIRTUE Kamilla M. | - | - | 3% | 14% | 36% | 36% | 11% |
| 8 | SMUK Daria A. | - | 1% | 6% | 20% | 34% | 29% | 9% |
| 9 | GU Sarah | - | - | - | 4% | 20% | 43% | 33% |
| 10 | GUMAGAY Erika L. | - | - | 4% | 16% | 34% | 33% | 12% |
| 11 | SAAL Anna | - | 1% | 5% | 21% | 40% | 27% | 6% |
| 12 | PAN Michelle | - | - | 4% | 18% | 36% | 32% | 10% |
| 13 | RIST Rebecca (Beck) J. | 3% | 19% | 38% | 30% | 9% | 1% | - |
| 14 | ALVIDREZ Francesca A. | - | - | 2% | 12% | 35% | 39% | 12% |
| 15 | ROWLAND May | 9% | 29% | 34% | 20% | 6% | 1% | - |
| 16 | OAKE Erica | 4% | 19% | 36% | 29% | 11% | 1% | |
| 17 | BROWN Amanda | - | 1% | 5% | 18% | 34% | 31% | 11% |
| 18 | WU Fan | - | - | 2% | 9% | 28% | 40% | 21% |
| 19 | HODGES Grace A. | - | - | 2% | 11% | 30% | 39% | 19% |
| 20 | DE JAGER Celine | - | - | 3% | 17% | 36% | 33% | 10% |
| 21 | CORDERO Allison | 1% | 7% | 22% | 34% | 26% | 9% | 1% |
| 22 | CHERNYSHOVA Victoria | - | - | 4% | 16% | 33% | 34% | 13% |
| 23 | HUH Anna | - | - | 4% | 19% | 40% | 30% | 7% |
| 24 | YAO Jillian | - | - | 5% | 21% | 43% | 31% | |
| 25 | BRANDWEIN Elizabeth | 7% | 30% | 39% | 19% | 4% | - | - |
| 26 | SIDDIQUI Ammna K. | - | 1% | 9% | 29% | 37% | 20% | 3% |
| 27 | YANG Chloe | - | 3% | 14% | 31% | 33% | 16% | 3% |
| 28 | BYRON Karen J. | 3% | 15% | 32% | 31% | 15% | 3% | - |
| 29 | FAZZINI Angelina | 1% | 9% | 29% | 36% | 20% | 5% | - |
| 30 | SINGH Aayushi | 27% | 42% | 24% | 6% | 1% | - | - |
| 31 | BOOK Ayelet | 5% | 24% | 38% | 25% | 7% | 1% | - |
| 32 | GERTISER Amalie (Amy) C. | 3% | 17% | 33% | 30% | 14% | 3% | - |
| 33 | HONG Elaine | - | 3% | 14% | 35% | 36% | 12% | |
| 34 | GUZZI Jordan | 10% | 33% | 36% | 17% | 3% | - | |
| 35 | CHANG Ella | - | 4% | 17% | 33% | 30% | 13% | 2% |
| 36 | BOWIE Charlotta | 2% | 13% | 31% | 35% | 17% | 3% | |
| 37 | MCGEE Sophia | - | 2% | 11% | 31% | 36% | 17% | 3% |
| 38 | XU Jessica | 12% | 34% | 34% | 16% | 4% | - | - |
| 39 | LI Allison | 2% | 12% | 29% | 33% | 18% | 5% | 1% |
| 40 | RICHARDS Caitlin A. | 1% | 9% | 24% | 34% | 24% | 8% | 1% |
| 41 | GAO Judy | - | 2% | 10% | 27% | 35% | 21% | 5% |
| 42 | AVERBACH Margaret | 24% | 46% | 24% | 5% | 1% | - | - |
| 43 | MOK Chloe R. | 3% | 16% | 33% | 31% | 15% | 3% | - |
| 44 | ZENG Katrina | 2% | 12% | 30% | 36% | 18% | 3% | |
| 45 | SCHMULTS Sophie W. | 3% | 22% | 40% | 27% | 7% | 1% | |
| 46 | ZEHE Michele A. | 4% | 21% | 37% | 28% | 9% | 1% | - |
| 47 | APPLEBEE Andralyn | 6% | 26% | 38% | 23% | 6% | 1% | - |
| 48 | RIOS Donna B. | 17% | 40% | 31% | 10% | 1% | - | - |
| 49 | GOLDBERG Sophie C. | - | 2% | 13% | 32% | 34% | 16% | 3% |
| 50 | HARJANI Meher | 21% | 40% | 28% | 10% | 2% | - | - |
| 51 | LI Alisha | 2% | 15% | 35% | 34% | 13% | 2% | - |
| 52 | GANGEMI Julia | 12% | 35% | 35% | 15% | 3% | - | |
| 53 | CANNEY Lauren | 5% | 22% | 36% | 27% | 9% | 1% | |
| 54 | HOSANAGAR Inchara | 22% | 42% | 27% | 7% | 1% | - | - |
| 55 | INAMDAR Nina S. | 2% | 13% | 32% | 33% | 16% | 4% | - |
| 56 | WALSH Katherine | 23% | 42% | 27% | 8% | 1% | - | - |
| 57 | WILKINSON Heather E. | 14% | 39% | 33% | 12% | 2% | - | |
| 58 | DELGADO Diane | 25% | 40% | 25% | 8% | 1% | - | - |
| 59 | MURRELL Jessica L. | 24% | 43% | 26% | 7% | 1% | - | - |
| 60 | DANNHAUSER Carol A. | 15% | 35% | 32% | 15% | 4% | - | - |
| 60 | PAN Iris | 19% | 42% | 29% | 8% | 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.