Richmond, 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 | YIN Julia | - | - | - | - | 2% | 23% | 75% |
| 2 | LEE REGINA | - | - | - | - | 5% | 28% | 67% |
| 3 | PROFIS Liora | - | 1% | 5% | 20% | 36% | 30% | 9% |
| 3 | LEE Claire | - | 1% | 6% | 25% | 48% | 20% | |
| 5 | SMUK Alexandra S. | - | - | 1% | 11% | 42% | 46% | |
| 6 | TOLSMA Chloe (CJ) | - | - | - | 2% | 14% | 39% | 44% |
| 7 | YILMAZ Pinar | - | - | 2% | 12% | 41% | 46% | |
| 8 | SHIV Avni | - | - | - | 2% | 16% | 44% | 38% |
| 9 | WANG Jessie | - | - | 3% | 15% | 34% | 36% | 12% |
| 10 | STERR Isabella M. | - | - | 1% | 9% | 40% | 50% | |
| 11 | LUO Amy | - | - | - | 5% | 22% | 44% | 29% |
| 11 | ZHAN Nancy | - | - | 1% | 7% | 27% | 44% | 22% |
| 13 | CAFASSO Natalya | - | 1% | 5% | 18% | 35% | 31% | 10% |
| 14 | SU Evelyn | - | - | 2% | 14% | 36% | 38% | 10% |
| 15 | PHUKAN Indra | - | 1% | 6% | 26% | 43% | 24% | |
| 16 | KOZLOWSKI Maya M. | - | - | 1% | 8% | 28% | 42% | 21% |
| 17 | KUMAR Eva | - | 1% | 5% | 22% | 39% | 27% | 6% |
| 18 | QIU Emily | - | - | 1% | 7% | 28% | 45% | 19% |
| 19 | WATTANAKIT Anda | - | - | 1% | 8% | 28% | 42% | 21% |
| 20 | WANG Ziqi | - | - | 1% | 6% | 23% | 43% | 27% |
| 21 | LISCUM Vivian | 1% | 9% | 26% | 35% | 22% | 6% | 1% |
| 22 | MOLLINIER Anais | - | 2% | 13% | 37% | 37% | 11% | |
| 23 | NIX Reagan | - | 1% | 8% | 26% | 37% | 23% | 5% |
| 24 | DEPOMMIER Isabelle | - | 2% | 13% | 30% | 34% | 18% | 3% |
| 25 | HOY Emmarose | 2% | 13% | 33% | 34% | 15% | 3% | - |
| 26 | RICHARDSON Meredith | 1% | 7% | 22% | 34% | 27% | 9% | 1% |
| 27 | MONOVA Lilyana | 3% | 22% | 38% | 27% | 9% | 1% | - |
| 28 | BOROTKO Katerina | 1% | 9% | 28% | 37% | 20% | 5% | - |
| 29 | FRANGER Macy | 1% | 13% | 35% | 36% | 14% | 2% | - |
| 30 | WANG Victoria | - | 1% | 8% | 27% | 41% | 22% | 2% |
| 31 | SUICO Kyubi Emmanuelle | 2% | 20% | 39% | 29% | 9% | 1% | - |
| 32 | CUEVA Viola | 4% | 20% | 36% | 28% | 11% | 2% | - |
| 33 | GUO Luxi | - | 1% | 6% | 24% | 40% | 25% | 5% |
| 34 | IYER Ishana | - | 3% | 15% | 31% | 34% | 15% | 1% |
| 35 | MISHIMA Audrey | 1% | 7% | 24% | 35% | 25% | 8% | 1% |
| 36 | LEE Gloria | - | 5% | 20% | 34% | 29% | 11% | 1% |
| 37 | BEATIE Isabella M. | - | 4% | 19% | 38% | 29% | 9% | 1% |
| 38 | SUN Hanya | - | - | 3% | 14% | 33% | 36% | 15% |
| 39 | FERREIRA DE MELO Adriana | - | - | 1% | 5% | 22% | 42% | 30% |
| 40 | MCQUEEN Morgan | 1% | 6% | 21% | 35% | 27% | 9% | 1% |
| 41 | LEE Camilla | - | - | 3% | 14% | 34% | 37% | 13% |
| 42 | CARRIER Meredith | - | 1% | 6% | 26% | 49% | 19% | |
| 43 | YOUNG VIVIAN | - | 1% | 10% | 33% | 40% | 16% | |
| 44 | WRIGHT Madison | 4% | 23% | 41% | 26% | 6% | - | |
| 45 | GUAN Isabella | - | 1% | 6% | 23% | 41% | 27% | 3% |
| 46 | NOVOJILOV Anastasia | - | 5% | 21% | 37% | 27% | 8% | 1% |
| 47 | SOLDATOVA Sophia | 3% | 18% | 34% | 30% | 12% | 2% | - |
| 48 | JI Catherine | 2% | 10% | 27% | 34% | 21% | 6% | - |
| 49 | BALAKRISHNAN Trisha | 4% | 21% | 36% | 28% | 10% | 1% | - |
| 50 | SUN Zeyu | 1% | 11% | 30% | 34% | 19% | 4% | - |
| 51 | WANG Sara | - | 5% | 20% | 36% | 28% | 9% | 1% |
| 52 | HANKINS Morgan | - | - | 1% | 6% | 23% | 42% | 28% |
| 53 | TALANDZEVICIUS Sophia | 4% | 26% | 42% | 23% | 5% | - | |
| 54 | BI Michelle | 9% | 32% | 38% | 18% | 3% | - | |
| 55 | HALE Avery | 16% | 39% | 33% | 11% | 1% | - | |
| 56 | SHAYAKHMETOVA Suzanna | 7% | 25% | 35% | 23% | 8% | 1% | - |
| 57 | MENKIN Kate | 12% | 36% | 35% | 14% | 3% | - | - |
| 58 | GANSER Nicole | 11% | 32% | 35% | 17% | 4% | 1% | - |
| 59 | YOUSSEF Caroline | 6% | 27% | 40% | 22% | 4% | - | |
| 60 | WANG Ziqiao | 5% | 25% | 40% | 25% | 5% | - | |
| 61 | TISMENSKY Avital | 5% | 24% | 40% | 26% | 5% | - | |
| 62 | TAM Connie | 4% | 21% | 37% | 27% | 9% | 1% | - |
| 63 | QI Julieanne | 4% | 22% | 36% | 26% | 9% | 2% | - |
| 64 | KANASKAR Ila | 22% | 40% | 27% | 9% | 1% | - | - |
| 65 | SCHMITT Harper | - | 3% | 16% | 39% | 34% | 8% | |
| 66 | NEELAM Navya | - | 5% | 20% | 36% | 29% | 9% | 1% |
| 67 | LIN Ariel | - | 5% | 22% | 41% | 27% | 5% | |
| 68 | MARTINEZ Christina | 14% | 41% | 34% | 11% | 1% | - | |
| 69 | NGUYEN Ella | 11% | 34% | 37% | 16% | 2% | - | |
| 70 | DESAI Ela | 10% | 33% | 37% | 17% | 3% | - | |
| 71 | CHADDA Farah | 23% | 42% | 27% | 7% | 1% | - | |
| 72 | LY Hannah | 18% | 40% | 30% | 10% | 2% | - | - |
| 73 | WOOLF Fredrika | 39% | 41% | 17% | 3% | - | - | - |
| 73 | ZHONG Isabell | 23% | 42% | 27% | 7% | 1% | - | - |
| 75 | CHEN Alina | 16% | 38% | 32% | 11% | 2% | - | - |
| 76 | YAO Chloe | 9% | 39% | 38% | 12% | 2% | - | |
| 77 | LEE Kate | 56% | 36% | 8% | 1% | - | - | |
| 78 | WU Jessica | 1% | 7% | 25% | 37% | 24% | 6% | - |
| 79 | KUPPUSAMY Mahaa | 75% | 23% | 2% | - | - | - | - |
| 80 | PEI Claire | 4% | 23% | 38% | 26% | 8% | 1% | - |
| 81 | ZHANG Jane | 39% | 41% | 17% | 3% | - | - | - |
| 82 | WORKNEH Lulit | 9% | 32% | 38% | 17% | 3% | - | - |
| 82 | XU Serena | 2% | 15% | 34% | 33% | 13% | 2% | - |
| 84 | KROPP Anne | 4% | 18% | 33% | 30% | 13% | 2% | - |
| 85 | XU Jessica | 1% | 10% | 28% | 34% | 21% | 6% | - |
| 86 | ELTERMAN Kate | 37% | 41% | 18% | 4% | - | - | - |
| 87 | FANG jenna kim | 16% | 40% | 33% | 10% | 1% | - | - |
| 88 | TISMENSKY Abigail | 2% | 15% | 32% | 32% | 15% | 3% | - |
| 88 | STERN Savannah | 50% | 38% | 11% | 1% | - | - | - |
| 90 | SCHOR Elisabeth | 1% | 17% | 38% | 32% | 11% | 1% | - |
| 91 | OLSON Olivia | 27% | 42% | 24% | 6% | 1% | - | - |
| 92 | WANG Sijia | 38% | 43% | 16% | 2% | - | - | |
| 93 | DESANTIS-IBANEZ Elena | 10% | 39% | 36% | 13% | 2% | - | - |
| 94 | TISHKOVA-ROBERTS Daria | 14% | 34% | 33% | 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.