Meadowlands Expo Center - Secaucus, 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 | PROFIS Liora | - | - | - | - | 5% | 31% | 64% |
| 2 | LEE Claire | - | - | - | 1% | 9% | 40% | 50% |
| 3 | RICHARDSON Meredith | - | - | - | 1% | 11% | 40% | 47% |
| 3 | WONG Sydney | 1% | 9% | 27% | 37% | 22% | 4% | |
| 5 | NOVOJILOV Anastasia | - | - | - | 1% | 9% | 37% | 53% |
| 6 | MISHIMA Audrey | - | - | 1% | 6% | 28% | 48% | 18% |
| 7 | LEE Gloria Y. | - | - | 1% | 9% | 27% | 40% | 23% |
| 8 | ZOU You yang (Yoyo) | - | 1% | 8% | 23% | 34% | 25% | 7% |
| 9 | CHEN Stephanie | - | - | 3% | 18% | 43% | 35% | |
| 10 | KUMAR Eva | - | - | - | 2% | 15% | 41% | 42% |
| 10 | BISONO Valentina | - | 3% | 16% | 36% | 32% | 11% | 1% |
| 12 | WONG Caitlin | - | - | 1% | 9% | 30% | 42% | 18% |
| 13 | SHAYAKHMETOVA Suzanna | - | 4% | 21% | 40% | 29% | 6% | |
| 14 | QI Julieanne | - | - | 2% | 14% | 41% | 42% | |
| 15 | WANG Chloe | 7% | 26% | 37% | 23% | 6% | 1% | - |
| 16 | NGUYEN Renee | - | 6% | 26% | 40% | 24% | 4% | |
| 17 | WANG Sophie Y. | - | 1% | 6% | 21% | 36% | 28% | 7% |
| 18 | SUICO Kyubi Emmanuelle | - | - | 3% | 15% | 38% | 37% | 7% |
| 19 | MA Sophie | - | - | 1% | 5% | 24% | 44% | 26% |
| 20 | JEYOON Lauren | 1% | 7% | 26% | 38% | 23% | 5% | - |
| 21 | XU Sunia (Tai Yang) | - | 1% | 7% | 21% | 34% | 28% | 9% |
| 22 | WU Madisen | 3% | 18% | 36% | 30% | 11% | 2% | - |
| 23 | PRESMAN Aerin | - | - | - | 4% | 20% | 44% | 32% |
| 24 | LI Alice | - | 2% | 12% | 28% | 34% | 20% | 4% |
| 25 | TAM Connie | - | 3% | 13% | 33% | 36% | 14% | 1% |
| 26 | WONG Angelina | 13% | 35% | 34% | 15% | 3% | - | - |
| 27 | SHEFFIELD Skye | - | 1% | 8% | 27% | 38% | 22% | 4% |
| 28 | PARK elli | - | 2% | 13% | 33% | 36% | 15% | 2% |
| 29 | ADYANTHAYA Anika | - | 3% | 14% | 29% | 32% | 18% | 4% |
| 30 | BI Michelle | - | 1% | 11% | 30% | 35% | 19% | 4% |
| 31 | PAN Angela | - | - | 4% | 21% | 39% | 29% | 7% |
| 32 | YAO Chloe | - | 5% | 23% | 38% | 26% | 8% | 1% |
| 33 | STERN Savannah | - | - | 2% | 11% | 31% | 38% | 18% |
| 34 | LI Caroline | - | 6% | 25% | 39% | 25% | 5% | |
| 35 | KANG kailin | - | 1% | 11% | 30% | 35% | 19% | 4% |
| 36 | WEI Sherry | - | - | 3% | 15% | 37% | 36% | 8% |
| 37 | WU Michelle | - | - | 4% | 19% | 42% | 35% | |
| 38 | KAUR Manroop | - | - | 3% | 18% | 42% | 36% | |
| 39 | WRIGHT Madison | 1% | 11% | 32% | 37% | 16% | 2% | |
| 40 | PETROFF Eva | - | 2% | 13% | 32% | 36% | 15% | 2% |
| 41 | DESANTIS-IBANEZ Elena | - | 5% | 18% | 32% | 29% | 13% | 2% |
| 42 | SHETH Anayaà | 3% | 18% | 33% | 29% | 13% | 3% | - |
| 43 | ALLIEVI Simone | 3% | 21% | 39% | 28% | 8% | 1% | - |
| 44 | LOBANOVA Varvara | - | 6% | 27% | 39% | 23% | 5% | - |
| 45 | LIN Laura | - | - | 1% | 9% | 32% | 43% | 14% |
| 46 | NAVARRO Laylah | 4% | 28% | 40% | 22% | 5% | - | |
| 47 | BOROTKO Katerina | - | 1% | 10% | 32% | 41% | 15% | |
| 48 | ANEZIOKORO Zahra | 2% | 12% | 31% | 35% | 17% | 3% | |
| 49 | JIANG chenxi | 4% | 20% | 36% | 29% | 10% | 1% | |
| 50 | MEYER Rebecca | - | 3% | 21% | 38% | 28% | 8% | 1% |
| 51 | KANG Yenna | - | 1% | 9% | 27% | 37% | 22% | 5% |
| 52 | GANSER Nicole | - | - | 1% | 7% | 27% | 43% | 22% |
| 53 | LEE Kate | 3% | 18% | 36% | 30% | 11% | 1% | - |
| 54 | YANG Eleanor | - | 2% | 13% | 32% | 34% | 17% | 3% |
| 55 | STEMPKOVSKA Dina | 1% | 8% | 28% | 38% | 21% | 5% | - |
| 56 | GOH Cayla | 2% | 13% | 30% | 32% | 18% | 5% | 1% |
| 57 | CHEN Alina | - | 7% | 26% | 39% | 23% | 4% | |
| 58 | WORKNEH Lulit | 1% | 8% | 31% | 39% | 19% | 3% | |
| 59 | CHOU Andrea | 9% | 34% | 37% | 17% | 3% | - | |
| 60 | ZHANG Jane | 1% | 6% | 23% | 37% | 26% | 7% | 1% |
| 61 | YU Eva | - | 3% | 17% | 36% | 32% | 11% | 1% |
| 62 | OLELE Ifechi | - | 6% | 23% | 38% | 26% | 7% | - |
| 63 | WANG Selina | - | 6% | 24% | 38% | 25% | 5% | - |
| 64 | BUNCH Halle | 34% | 49% | 15% | 2% | - | - | - |
| 65 | LI Nicole | 17% | 42% | 30% | 9% | 1% | - | - |
| 66 | CHAKRAPANI Tara | 36% | 46% | 16% | 2% | - | - | |
| 67 | DEITZ Surabhi | 20% | 40% | 29% | 10% | 1% | - | - |
| 68 | ZHONG Evelyn | 5% | 22% | 35% | 26% | 10% | 2% | - |
| 69 | KONG Mila W. | 12% | 36% | 35% | 14% | 3% | - | - |
| 70 | KUPPUSAMY Mahaa | 12% | 34% | 35% | 16% | 3% | - | - |
| 71 | TISHKOVA-ROBERTS Daria | 6% | 24% | 37% | 25% | 7% | 1% | |
| 72 | HOWARD Katherine | 67% | 28% | 4% | - | - | - | |
| 73 | JU Jennifer | 25% | 47% | 23% | 5% | - | - | |
| 74 | SONG Charlotte | 35% | 42% | 18% | 4% | - | - | |
| 75 | XU Hua | 11% | 37% | 35% | 14% | 2% | - | - |
| 76 | GOLIYAD Lisa | 1% | 7% | 24% | 35% | 24% | 8% | 1% |
| 77 | GORTI Aadya | 10% | 32% | 36% | 18% | 4% | - | - |
| 78 | YAN Ximei (Alicia) | 5% | 22% | 37% | 27% | 8% | 1% | - |
| 79 | ZHENG Erin | 3% | 18% | 35% | 31% | 12% | 2% | - |
| 80 | NING Miranda | 38% | 44% | 15% | 2% | - | - | - |
| 81 | DHAIYA Tanya | 1% | 10% | 32% | 37% | 18% | 3% | - |
| 81 | YU Sara | 31% | 43% | 21% | 4% | - | - | - |
| 83 | CHEN Yudian | 35% | 44% | 18% | 3% | - | - | - |
| 84 | ABRAGAN Isabel Grace | 47% | 43% | 9% | 1% | - | - | - |
| 85 | KAKANI Aditi | 4% | 23% | 40% | 26% | 7% | 1% | |
| 86 | DU Andria | 12% | 32% | 34% | 17% | 4% | 1% | - |
| 87 | SHABBIR Aiza | 24% | 41% | 26% | 8% | 1% | - | |
| 88 | WANG Sijia | 12% | 34% | 35% | 16% | 3% | - | - |
| 89 | XIAO Katelyn | 34% | 41% | 20% | 5% | 1% | - | - |
| 90 | VOSKOV Olivia | 1% | 11% | 32% | 37% | 17% | 2% | |
| 91 | YOUN Emily | 37% | 43% | 17% | 3% | - | - | - |
| 92 | YANG Angela | 36% | 48% | 14% | 2% | - | - | - |
| 93 | CHEN Allison | 21% | 47% | 26% | 6% | 1% | - | - |
| 94 | MISHIMA Olivia | 29% | 53% | 15% | 2% | - | - | - |
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.