NJ Convention & Exposition Center - Edison, 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 | DHAIYA Tanya | - | - | - | 4% | 18% | 42% | 36% |
| 2 | LAW Mila | - | 1% | 6% | 21% | 37% | 29% | 7% |
| 3 | GOH Cayla | - | - | - | 2% | 13% | 39% | 46% |
| 3 | MENG YIFAN | - | - | - | 2% | 13% | 40% | 45% |
| 5 | SUICO Kyubi Emmanuelle | - | - | - | 3% | 16% | 41% | 40% |
| 6 | LOBANOVA Varvara | - | - | 3% | 15% | 36% | 36% | 11% |
| 7 | GOLIYAD Lisa | - | 1% | 6% | 22% | 37% | 28% | 7% |
| 8 | WANG Cecilia | - | 1% | 6% | 26% | 43% | 25% | |
| 9 | KOUAME Candice | 11% | 36% | 37% | 14% | 1% | ||
| 10 | ADYANTHAYA Anika | - | - | - | 3% | 17% | 43% | 37% |
| 11 | YANAGIDA Coco | 11% | 36% | 37% | 14% | 2% | - | |
| 12 | BISONO Valentina | - | 2% | 10% | 27% | 36% | 22% | 4% |
| 13 | HAN Emma | 1% | 9% | 29% | 36% | 20% | 4% | - |
| 14 | CHEN Alina | - | - | 3% | 16% | 36% | 35% | 9% |
| 15 | LIU Lillian | 31% | 42% | 21% | 5% | 1% | - | - |
| 16 | ZHENG Kristen | 5% | 29% | 38% | 21% | 5% | 1% | - |
| 17 | SHEFFIELD Skye | - | 3% | 17% | 44% | 36% | ||
| 18 | NING Miranda | - | 6% | 21% | 37% | 28% | 7% | |
| 19 | VENKATESAN Harshitha | - | 4% | 18% | 34% | 30% | 12% | 1% |
| 20 | JU Jennifer | 1% | 6% | 22% | 35% | 26% | 9% | 1% |
| 21 | XIAO Katelyn | - | 4% | 21% | 39% | 29% | 7% | |
| 22 | WONG Sydney | 1% | 8% | 30% | 43% | 17% | ||
| 23 | KAUR Manroop | - | 1% | 5% | 21% | 42% | 32% | |
| 24 | GANSER Nicole | - | 1% | 8% | 35% | 57% | ||
| 25 | ZHENG Erin | - | 4% | 18% | 34% | 30% | 12% | 1% |
| 26 | YU Livia | 3% | 19% | 40% | 32% | 5% | ||
| 27 | NOVOJILOV Anastasia | - | - | 1% | 10% | 42% | 47% | |
| 28 | CHEN Laila | 4% | 33% | 40% | 18% | 4% | - | |
| 29 | HU Chloe | 15% | 39% | 34% | 11% | 1% | ||
| 31 | KAKANI Aditi | 3% | 18% | 36% | 31% | 11% | 1% | |
| 32 | SHIN Jamie | 19% | 42% | 31% | 8% | 1% | ||
| 33 | KLAUSZ Izabella | - | 4% | 20% | 36% | 29% | 10% | 1% |
| 34 | CHERNOBRIVETS Maria | 2% | 16% | 35% | 32% | 13% | 2% | |
| 35 | BOROTKO Katerina | - | 2% | 14% | 35% | 36% | 12% | |
| 36 | IVANOV Angela-Sophie | 3% | 21% | 40% | 29% | 6% | - | |
| 37 | ZOU You yang (Yoyo) | - | 2% | 11% | 30% | 37% | 18% | 3% |
| 38 | SAJJA Anwita | 20% | 39% | 29% | 10% | 2% | - | - |
| 39 | WEI Sherry | - | - | 4% | 23% | 50% | 23% | |
| 40 | TIAN Victoria | 1% | 15% | 38% | 33% | 11% | 1% | |
| 41 | MENKIN Kate | 4% | 23% | 41% | 27% | 5% | - | |
| 42 | ALEXANDER Faith | 12% | 37% | 36% | 13% | 1% | ||
| 43 | SHETH Anayaà | 1% | 10% | 30% | 36% | 19% | 4% | - |
| 44 | NOLAN Sophia | - | 4% | 17% | 33% | 31% | 12% | 2% |
| 45 | FURMAN Elizabeth | 1% | 11% | 32% | 35% | 17% | 3% | - |
| 46 | SONG Charlotte | 14% | 39% | 35% | 11% | 1% | ||
| 47 | ALLIEVI Simone | 2% | 11% | 28% | 34% | 20% | 5% | - |
| 48 | GIORGOBIANI Ketevani | - | 5% | 20% | 34% | 28% | 10% | 1% |
| 49 | SHEIKH PAREE | - | 6% | 23% | 37% | 26% | 7% | 1% |
| 50 | CHEN Allison | 22% | 43% | 28% | 7% | 1% | ||
| 51 | LIN Cynthia | 5% | 23% | 36% | 26% | 8% | 1% | |
| 52 | ZHANG Chloe | 14% | 38% | 33% | 13% | 2% | - | - |
| 53 | DING Iris Siyue | 3% | 15% | 32% | 32% | 15% | 3% | - |
| 54 | YOON Cora | 8% | 30% | 36% | 20% | 5% | 1% | - |
| 55 | KAMENSKY Elina | 1% | 7% | 25% | 36% | 24% | 7% | 1% |
| 56 | YOUN Emily | 3% | 16% | 34% | 31% | 13% | 3% | - |
| 57 | FAYLAYEV Sofia | 30% | 44% | 21% | 4% | - | - | - |
| 58 | TOBY Kaja | 10% | 31% | 35% | 19% | 5% | 1% | - |
| 59 | GORE Amina | 35% | 43% | 18% | 3% | - | - | |
| 60 | REARDON Isabella | 20% | 44% | 28% | 8% | 1% | - | - |
| 61 | BUSEGAN Emma | 30% | 42% | 22% | 5% | 1% | - | |
| 62 | JAISON Carol | 73% | 24% | 3% | - | - | - | |
| 63 | SULLIVAN Adela | 56% | 35% | 8% | 1% | - | - | - |
| 63 | LEUNG Morgan | 28% | 43% | 23% | 6% | 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.