Fredericksburg Expo & Conference Center - Fredericksburg, VA, 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 | GAJJALA Sharika R. | - | - | - | - | 4% | 31% | 64% |
| 2 | RAKHOVSKI Alexandra | - | - | - | 3% | 18% | 46% | 33% |
| 3 | ZHU Serene M. | - | - | 3% | 13% | 32% | 37% | 16% |
| 3 | LIU Nicole | - | - | - | 6% | 42% | 44% | 8% |
| 5 | LEE Claire | - | 2% | 12% | 31% | 35% | 17% | 2% |
| 6 | KOZLOWSKI Maya M. | - | - | 3% | 19% | 45% | 33% | |
| 7 | HAFEEZ Hania | - | - | - | 2% | 15% | 41% | 41% |
| 8 | LEE Lavender | - | 1% | 7% | 22% | 37% | 28% | 5% |
| 9 | YANG Alisa | - | - | - | - | 4% | 31% | 65% |
| 10 | CAFASSO Natalya | - | - | 4% | 22% | 39% | 28% | 7% |
| 11 | YOU Isabel B. | - | - | 3% | 15% | 36% | 38% | 8% |
| 12 | QIU Emily | - | 2% | 11% | 29% | 35% | 20% | 4% |
| 13 | ZHAO Ivy | - | - | 3% | 20% | 39% | 30% | 8% |
| 14 | FAN Elizabeth | - | - | 3% | 14% | 35% | 39% | 9% |
| 15 | PROFIS Liora | - | 1% | 7% | 29% | 44% | 19% | |
| 16 | NEFF Saya | 6% | 30% | 43% | 18% | 3% | - | - |
| 17 | KORFONTA Jolie | - | - | - | - | 4% | 28% | 68% |
| 18 | PINNAMANENI Drithi | - | - | 1% | 11% | 34% | 39% | 15% |
| 19 | KUMAR Eva | - | - | 1% | 9% | 37% | 41% | 13% |
| 20 | SU Evelyn | - | - | 4% | 17% | 35% | 33% | 12% |
| 21 | AI Amy | - | - | - | 7% | 42% | 43% | 8% |
| 22 | LI Suri | - | - | 1% | 6% | 33% | 44% | 16% |
| 23 | SMOTRITSKY Liat | 4% | 19% | 35% | 29% | 11% | 2% | - |
| 24 | YOU Emily | - | - | 1% | 10% | 33% | 40% | 16% |
| 24 | NIX Reagan | - | 1% | 8% | 26% | 38% | 23% | 4% |
| 26 | FERREIRA DE MELO Adriana | - | 5% | 19% | 36% | 30% | 9% | 1% |
| 27 | CUEVA Viola | 4% | 21% | 37% | 28% | 10% | 1% | - |
| 28 | WONG Caitlin | 2% | 11% | 30% | 35% | 19% | 4% | - |
| 29 | PAN Angela | 2% | 13% | 37% | 38% | 10% | 1% | - |
| 30 | MARTINEZ Christina | 3% | 27% | 49% | 19% | 1% | - | - |
| 31 | KUMAR Anusha | - | 5% | 24% | 42% | 25% | 4% | |
| 32 | ZANGA Kaitlyn | 1% | 11% | 30% | 34% | 18% | 5% | - |
| 33 | PILSON Rebecca | 4% | 18% | 34% | 30% | 12% | 2% | - |
| 34 | NOVOJILOV Anastasia | 3% | 21% | 42% | 26% | 6% | - | |
| 35 | LUO Amy | - | 3% | 15% | 33% | 32% | 14% | 2% |
| 36 | KOVALCHUK Erika S. | - | 2% | 11% | 30% | 36% | 18% | 3% |
| 37 | KIM YUNA | - | - | 3% | 17% | 36% | 33% | 11% |
| 38 | ZHANG ANGELA | 8% | 27% | 36% | 22% | 6% | 1% | - |
| 39 | HALL Isabelle | 22% | 45% | 27% | 6% | - | - | - |
| 40 | CASHMAN Amanda | 9% | 30% | 36% | 20% | 5% | - | - |
| 41 | NOH Rachel | 18% | 41% | 31% | 9% | 1% | - | - |
| 42 | WANG Ziqiao | 18% | 40% | 30% | 10% | 2% | - | - |
| 42 | SUN Zeyu | 1% | 10% | 28% | 35% | 21% | 4% | - |
| 44 | LY Hannah | 12% | 33% | 34% | 17% | 4% | - | - |
| 45 | BOGDANOVSKAYA Elizaveta | - | 6% | 31% | 50% | 12% | 1% | - |
| 46 | KIM Kailyn | 4% | 19% | 35% | 30% | 11% | 2% | - |
| 47 | BI Michelle | 28% | 47% | 21% | 4% | - | - | |
| 48 | MURPHY Katherine | 26% | 45% | 24% | 5% | - | - | |
| 49 | LIN Ariel | 3% | 17% | 34% | 31% | 13% | 2% | - |
| 50 | SHAYAKHMETOVA Suzanna | 30% | 44% | 21% | 5% | - | - | - |
| 51 | TOSH Audrey | 12% | 33% | 34% | 16% | 4% | - | - |
| 52 | SCHMITT Harper | 1% | 8% | 25% | 36% | 24% | 6% | - |
| 53 | LIANG Angela | 18% | 47% | 29% | 5% | - | - | - |
| 54 | SNYDER Kathryn | 20% | 43% | 28% | 8% | 1% | - | - |
| 55 | YANG Emily | 7% | 28% | 38% | 21% | 5% | 1% | - |
| 56 | LOZIER Grace | 14% | 49% | 31% | 5% | - | - | - |
| 57 | WRIGHT Madison | 17% | 39% | 32% | 10% | 2% | - | - |
| 58 | ZAIDI Maira | 41% | 44% | 14% | 1% | - | - | - |
| 59 | TOFFELMIRE Audrey E. | 16% | 36% | 32% | 13% | 3% | - | - |
| 59 | LEVKOV Maita | 58% | 36% | 6% | - | - | - | - |
| 61 | MORGAN Verity | 5% | 22% | 35% | 26% | 10% | 2% | - |
| 61 | KRISHNA Rithika | 3% | 20% | 39% | 30% | 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.