Gaylord National Resort and Convention Center - National Harbor, MD, 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 | YU Chloe | - | - | 2% | 10% | 29% | 39% | 20% |
| 2 | SAAKIANTS Ilana | - | - | 2% | 11% | 29% | 38% | 20% |
| 3 | ANDRUS Allie | - | - | 3% | 14% | 34% | 37% | 12% |
| 3 | LEE Zoe | 3% | 15% | 32% | 32% | 15% | 3% | - |
| 5 | CHEN Madeline | - | 1% | 9% | 27% | 37% | 21% | 4% |
| 6 | TAYLOR Reagan | - | - | 3% | 14% | 33% | 36% | 14% |
| 7 | VIJAY Vaishnavi | - | - | - | 2% | 14% | 40% | 44% |
| 8 | SUN Milly | - | 5% | 18% | 33% | 29% | 12% | 2% |
| 9 | OLELE Ifechi | - | - | 1% | 6% | 25% | 46% | 22% |
| 10 | NAZIR Farah | 4% | 23% | 38% | 26% | 8% | 1% | - |
| 11 | YANG Hannah | - | 2% | 10% | 27% | 35% | 21% | 5% |
| 12 | LI Ariel | 3% | 19% | 37% | 29% | 10% | 1% | - |
| 13 | KIM Abigail | - | 2% | 11% | 29% | 36% | 19% | 3% |
| 14 | CAYETANO Audrey | - | - | 1% | 6% | 23% | 43% | 28% |
| 15 | FAN Joy | - | 1% | 4% | 18% | 35% | 31% | 10% |
| 16 | CHEN Stephanie | - | 4% | 15% | 30% | 32% | 16% | 3% |
| 17 | LI Anna | - | - | - | 3% | 16% | 44% | 37% |
| 18 | CHEN Laila | - | - | 3% | 14% | 33% | 37% | 13% |
| 19 | MOKRETSOV Leah | - | 6% | 26% | 41% | 24% | 2% | - |
| 20 | CHOI Arianna | - | - | 4% | 17% | 36% | 34% | 9% |
| 21 | LEE Iona | 4% | 17% | 31% | 29% | 15% | 4% | - |
| 22 | BUNCH Helena | 2% | 14% | 33% | 33% | 15% | 3% | - |
| 23 | MEGGERS Arya | 1% | 5% | 21% | 35% | 28% | 9% | 1% |
| 24 | CAO Cynthia | 2% | 11% | 27% | 33% | 20% | 6% | 1% |
| 25 | JIANG Ziqing | - | 1% | 6% | 19% | 33% | 30% | 11% |
| 26 | JUBILEE Beata | 1% | 6% | 21% | 35% | 27% | 9% | 1% |
| 27 | ZHAO Crystal | 8% | 26% | 34% | 23% | 8% | 2% | - |
| 28 | FURMAN Elizabeth | 2% | 12% | 27% | 32% | 20% | 6% | 1% |
| 29 | GOFMAN Anastasia | 1% | 6% | 18% | 31% | 29% | 13% | 2% |
| 30 | VILLER Alice | - | 3% | 15% | 31% | 32% | 16% | 3% |
| 31 | OLUYOLE Isabella | - | 2% | 10% | 25% | 34% | 23% | 6% |
| 32 | LONG Rose | 5% | 22% | 36% | 26% | 9% | 1% | - |
| 33 | XU Aasta | 1% | 8% | 27% | 38% | 21% | 5% | - |
| 34 | CHANG Hannah | - | - | - | 1% | 13% | 47% | 39% |
| 35 | YANG Arianna | - | 1% | 6% | 22% | 36% | 28% | 8% |
| 36 | QI Chelsie | - | - | 1% | 6% | 24% | 42% | 27% |
| 37 | WANG Emily | 17% | 42% | 30% | 9% | 1% | - | - |
| 38 | HAN Emma | 1% | 7% | 22% | 35% | 26% | 9% | 1% |
| 39 | KOTHARI Elina | 6% | 27% | 39% | 22% | 5% | 1% | - |
| 40 | YANG Letitia | - | - | 2% | 13% | 34% | 37% | 14% |
| 41 | BOUTSIKARIS Asha | 2% | 14% | 31% | 32% | 16% | 4% | - |
| 42 | LI Allison | 4% | 19% | 32% | 28% | 13% | 3% | - |
| 43 | WILSON Addison | 1% | 5% | 18% | 32% | 29% | 12% | 2% |
| 44 | REN Harper | 4% | 19% | 34% | 29% | 12% | 2% | - |
| 45 | MOSENG Hana | 12% | 33% | 33% | 17% | 4% | 1% | - |
| 46 | MACAL Zoey | - | 3% | 16% | 32% | 31% | 15% | 3% |
| 47 | JIANG Ziqi | 10% | 35% | 36% | 16% | 3% | - | - |
| 47 | CHEN Reina | 19% | 39% | 29% | 10% | 2% | - | - |
| 49 | WANG Hailie | 12% | 34% | 34% | 16% | 3% | - | - |
| 50 | FAN Olivia | 16% | 39% | 32% | 12% | 2% | - | - |
| 51 | KASHUBA Mila | 9% | 30% | 36% | 20% | 5% | 1% | - |
| 52 | LEE Nicole | 20% | 38% | 29% | 11% | 2% | - | - |
| 53 | FRANGER Emma | 1% | 9% | 27% | 36% | 21% | 6% | 1% |
| 53 | LAI Juliet | - | 4% | 19% | 38% | 31% | 7% | - |
| 55 | PEKKER Amina | 28% | 43% | 23% | 6% | 1% | - | - |
| 56 | DONE Kennedy | 2% | 14% | 34% | 34% | 14% | 2% | - |
| 57 | YAO Astrid | 6% | 25% | 36% | 24% | 8% | 1% | - |
| 58 | CHONG Emma | 1% | 7% | 24% | 36% | 24% | 7% | 1% |
| 59 | ZHAO Rachel | 27% | 41% | 24% | 7% | 1% | - | - |
| 60 | MISHIMA Quinn | 37% | 42% | 18% | 3% | - | - | - |
| 61 | SHI Emma | 16% | 37% | 32% | 13% | 2% | - | - |
| 62 | HAO katherine | 9% | 30% | 35% | 20% | 6% | 1% | - |
| 63 | WANG Katherine | 41% | 41% | 15% | 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.