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 | NEELAM Navya | - | - | - | 1% | 8% | 35% | 56% |
| 2 | QI Julieanne | - | - | - | 1% | 7% | 33% | 58% |
| 3 | WONG Sydney | - | - | 2% | 11% | 31% | 39% | 17% |
| 3 | HOLDEN Helena | - | - | 1% | 7% | 25% | 42% | 25% |
| 5 | DESANTIS-IBANEZ Elena | - | - | 2% | 10% | 30% | 39% | 19% |
| 6 | LI Alice | - | - | 1% | 7% | 24% | 40% | 27% |
| 7 | DHAIYA Tanya | - | - | 4% | 17% | 35% | 33% | 11% |
| 8 | WONG Angelina | 1% | 7% | 23% | 35% | 26% | 9% | 1% |
| 9 | MA Sophie | - | - | - | 1% | 9% | 37% | 54% |
| 10 | PEI Claire | - | - | 3% | 16% | 36% | 36% | 8% |
| 11 | ZHONG Evelyn | 1% | 6% | 21% | 33% | 27% | 11% | 2% |
| 12 | CHEN Alina | - | - | 2% | 9% | 28% | 40% | 21% |
| 13 | XU Jessica | - | - | 1% | 6% | 24% | 42% | 27% |
| 14 | LEE Kate | - | 5% | 20% | 37% | 28% | 9% | 1% |
| 15 | VOSKOV Olivia | - | 1% | 9% | 26% | 36% | 22% | 5% |
| 16 | YAO Chloe | - | 2% | 10% | 26% | 35% | 23% | 5% |
| 17 | YU Livia | 1% | 7% | 22% | 34% | 26% | 9% | 1% |
| 18 | FAN Joy | 2% | 11% | 29% | 35% | 20% | 5% | - |
| 19 | LI Anna | - | 1% | 7% | 23% | 36% | 26% | 6% |
| 20 | KROPP Anne | - | - | 1% | 8% | 25% | 40% | 26% |
| 20 | KAKANI Aditi | - | 1% | 6% | 21% | 36% | 28% | 7% |
| 22 | BOROTKO Katerina | - | - | 1% | 5% | 21% | 42% | 32% |
| 23 | ANEZIOKORO Zahra | - | 2% | 12% | 28% | 33% | 19% | 4% |
| 24 | ZHANG Jane | - | - | 4% | 15% | 32% | 34% | 14% |
| 25 | WANG Chloe | - | 4% | 18% | 35% | 31% | 12% | 1% |
| 26 | YANG Eleanor | - | 2% | 9% | 24% | 34% | 24% | 7% |
| 27 | DU Andria | - | 5% | 19% | 35% | 29% | 10% | 1% |
| 28 | SUN Karolyn | - | 1% | 6% | 19% | 34% | 30% | 10% |
| 29 | WANG Cecilia | - | 1% | 6% | 20% | 34% | 29% | 10% |
| 30 | KONG Mila W. | 1% | 7% | 25% | 36% | 24% | 7% | 1% |
| 31 | TAM Connie | - | 1% | 5% | 21% | 39% | 29% | 5% |
| 32 | NING Miranda | 42% | 41% | 15% | 2% | - | - | - |
| 33 | XU Sunia (Tai Yang) | - | - | - | 1% | 7% | 33% | 59% |
| 34 | ADYANTHAYA Anika | - | - | 1% | 7% | 23% | 40% | 28% |
| 35 | BURT Emmalyne Grace | 2% | 10% | 26% | 33% | 22% | 7% | 1% |
| 36 | BUNCH Halle | 14% | 35% | 32% | 15% | 4% | < 1% | - |
| 37 | MOKRETSOV Leah | - | 5% | 19% | 34% | 29% | 11% | 1% |
| 38 | HALE Reagan | 2% | 12% | 28% | 32% | 19% | 5% | 1% |
| 39 | ZHU Una | - | 2% | 13% | 32% | 35% | 16% | 2% |
| 40 | KUPPUSAMY Mahaa | - | 3% | 13% | 31% | 34% | 16% | 3% |
| 41 | LI Nicole | 3% | 17% | 32% | 30% | 14% | 3% | - |
| 42 | PETROFF Eva | - | - | 3% | 15% | 34% | 35% | 12% |
| 43 | XU Mulan | 3% | 14% | 30% | 31% | 17% | 4% | - |
| 44 | LEE Eden | 1% | 7% | 23% | 33% | 25% | 9% | 1% |
| 45 | MISHIMA Olivia | 14% | 34% | 33% | 15% | 3% | - | - |
| 46 | TAYLOR Reagan | 3% | 20% | 37% | 28% | 10% | 1% | - |
| 47 | AHMAD Sophia | - | 3% | 14% | 32% | 34% | 15% | 1% |
| 48 | VIJAY Vaishnavi | - | 1% | 6% | 22% | 37% | 27% | 7% |
| 49 | CHEN Stephanie | - | 5% | 19% | 35% | 29% | 10% | 1% |
| 50 | STEMPKOVSKA Dina | 1% | 6% | 19% | 33% | 28% | 12% | 2% |
| 51 | CAYETANO Audrey | - | 2% | 13% | 31% | 35% | 17% | 2% |
| 52 | YAN Ximei (Alicia) | - | 3% | 16% | 33% | 32% | 13% | 2% |
| 52 | ANDRUS Allie | 1% | 5% | 19% | 33% | 28% | 12% | 2% |
| 54 | ORDORICA Abra | 1% | 7% | 23% | 34% | 25% | 9% | 1% |
| 55 | JIANG chenxi | 1% | 7% | 22% | 33% | 25% | 9% | 1% |
| 56 | YU Chloe | - | 4% | 17% | 32% | 31% | 14% | 2% |
| 57 | DESAI Ela | - | 3% | 16% | 33% | 32% | 13% | 2% |
| 58 | XU Aasta | 5% | 22% | 36% | 26% | 9% | 1% | - |
| 59 | YANG Hannah | 1% | 10% | 26% | 33% | 22% | 7% | 1% |
| 60 | SHEIKH PAREE | 1% | 7% | 22% | 33% | 25% | 9% | 1% |
| 61 | LI Ariel | 1% | 9% | 25% | 35% | 23% | 6% | - |
| 62 | JONES Elizabeth | 1% | 7% | 23% | 34% | 25% | 9% | 1% |
| 63 | HOWARD Katherine | 18% | 38% | 30% | 12% | 2% | - | - |
| 64 | LI Allison | 2% | 13% | 31% | 34% | 17% | 4% | - |
| 65 | FURMAN Elizabeth | 3% | 20% | 37% | 29% | 11% | 2% | - |
| 66 | CHAKRAPANI Tara | 7% | 26% | 36% | 23% | 7% | 1% | - |
| 67 | NAPOLI Eleanor | 5% | 24% | 39% | 25% | 7% | 1% | - |
| 68 | PEKKER Adel | 26% | 41% | 24% | 7% | 1% | - | - |
| 69 | CAMARGO Rafaela | 1% | 8% | 26% | 36% | 22% | 5% | - |
| 70 | CHEN Laila | 1% | 7% | 22% | 33% | 26% | 10% | 1% |
| 71 | HAN Emma | 18% | 38% | 31% | 12% | 2% | - | - |
| 72 | LEE Zoe | 8% | 29% | 36% | 21% | 6% | 1% | - |
| 73 | SUN Milly | 5% | 21% | 34% | 27% | 11% | 2% | - |
| 74 | TISHKOVA-ROBERTS Daria | 1% | 10% | 26% | 33% | 22% | 7% | 1% |
| 75 | SELTZER Lane | 2% | 15% | 33% | 32% | 15% | 3% | - |
| 76 | KIM Abigail | 3% | 17% | 32% | 30% | 14% | 3% | - |
| 77 | YOUN Emily | 42% | 41% | 15% | 2% | - | - | - |
| 78 | OLELE Ifechi | 1% | 11% | 29% | 35% | 19% | 5% | - |
| 79 | MEGGERS Arya | 20% | 38% | 29% | 11% | 2% | - | - |
| 80 | LEE Iona | 3% | 16% | 33% | 31% | 13% | 2% | - |
| 81 | JU Jennifer | 4% | 21% | 38% | 27% | 9% | 1% | - |
| 82 | CHOI Arianna | 1% | 9% | 27% | 35% | 22% | 5% | - |
| 83 | CHEN Madeline | 4% | 19% | 34% | 28% | 12% | 3% | - |
| 84 | YANG Letitia | 10% | 34% | 36% | 16% | 3% | - | - |
| 85 | BUNCH Helena | 8% | 28% | 35% | 21% | 6% | 1% | - |
| 86 | YANG Arianna | 21% | 39% | 28% | 10% | 2% | - | - |
| 87 | PERERA Chloe | 38% | 42% | 17% | 3% | - | - | - |
| 88 | LAI Juliet | 33% | 41% | 20% | 5% | 1% | - | - |
| 89 | GRIGORYAN Amaliya | 5% | 26% | 38% | 23% | 6% | 1% | - |
| 90 | GORDON Hannah | 8% | 33% | 36% | 18% | 4% | - | - |
| 91 | MORET Teagan | 20% | 39% | 29% | 10% | 2% | - | - |
| 92 | NAZIR Farah | 9% | 31% | 36% | 19% | 5% | - | - |
| 93 | WANG Emily | 55% | 35% | 9% | 1% | - | - | - |
| 94 | CAO Cynthia | 17% | 36% | 31% | 13% | 3% | - | - |
| 95 | CORDOVA Joscelyn | 13% | 33% | 33% | 17% | 5% | 1% | - |
| 96 | NISHANTH Krishvi | 10% | 32% | 35% | 18% | 5% | 1% | - |
| 97 | CALLAGHAN Aria | 4% | 18% | 34% | 29% | 12% | 2% | - |
| 98 | LAMBA Sayona | 6% | 25% | 35% | 24% | 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.