Ontario Convention Center - Hall A&B - Ontario, CA, 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 | JIANG Serena | - | - | 1% | 6% | 25% | 43% | 25% |
| 2 | BUSH emma | - | - | - | - | 2% | 21% | 76% |
| 3 | MOLLINIER Angel | - | 4% | 15% | 30% | 32% | 16% | 3% |
| 3 | LEE Yeriel | - | 1% | 7% | 24% | 38% | 25% | 6% |
| 5 | HSIU Elizabeth | - | - | 2% | 11% | 30% | 39% | 18% |
| 6 | WANG Jessie | - | - | - | 4% | 19% | 45% | 32% |
| 7 | WANG Victoria | - | 1% | 6% | 20% | 34% | 29% | 10% |
| 8 | HABEK Sophia | - | - | 2% | 10% | 31% | 40% | 17% |
| 9 | CARRIER Meredith | - | - | - | 1% | 9% | 36% | 55% |
| 10 | JAMES Ashley | - | 4% | 16% | 32% | 32% | 14% | 2% |
| 11 | XU Serena | - | - | 2% | 9% | 27% | 40% | 22% |
| 12 | MARTYNOVA Diana | - | - | 1% | 5% | 24% | 46% | 25% |
| 13 | BAUTISTA DE ROBLES Ekaterine | - | 4% | 17% | 31% | 30% | 15% | 3% |
| 14 | GAGARING Genia | 1% | 6% | 23% | 36% | 26% | 7% | 1% |
| 15 | WU Jessica | - | 1% | 5% | 18% | 35% | 32% | 10% |
| 16 | CHEN Stephanie | - | - | 4% | 15% | 33% | 35% | 13% |
| 17 | WANG Angelina | - | - | 1% | 7% | 25% | 41% | 26% |
| 18 | BLAETZ Isadora | - | 6% | 23% | 37% | 26% | 8% | - |
| 19 | BHATT Anisha | - | 1% | 8% | 24% | 36% | 25% | 6% |
| 20 | SCHULTZ Nomi | - | 1% | 7% | 24% | 39% | 25% | 4% |
| 21 | AIRES Julia | - | 1% | 4% | 17% | 34% | 32% | 11% |
| 22 | HUANG Lanlan | - | - | - | 5% | 21% | 42% | 31% |
| 23 | HASIM Eurietta | - | 2% | 12% | 30% | 36% | 18% | 2% |
| 24 | RADOV Una | 9% | 28% | 35% | 21% | 6% | 1% | - |
| 25 | FU Ella | 6% | 23% | 35% | 25% | 9% | 1% | - |
| 26 | HE Anna | 1% | 8% | 26% | 36% | 23% | 5% | - |
| 27 | MENG Fina | 14% | 41% | 32% | 11% | 2% | - | - |
| 28 | ZHAO Yanning | 2% | 15% | 36% | 32% | 13% | 2% | - |
| 28 | CHIOU-WILLIAMS Matea | 1% | 9% | 26% | 34% | 22% | 7% | 1% |
| 30 | SCHOR Elisabeth | - | 5% | 18% | 33% | 30% | 12% | 2% |
| 31 | LIN Isabel | 3% | 15% | 31% | 31% | 16% | 4% | - |
| 32 | MENDOZA zoie | - | 2% | 9% | 24% | 34% | 25% | 7% |
| 33 | CHIRASHNYA Mika | - | 1% | 5% | 21% | 38% | 28% | 7% |
| 34 | ZHAO Emma | 2% | 12% | 29% | 33% | 18% | 5% | - |
| 35 | LI Yunxuan (Joy) | - | 5% | 20% | 36% | 29% | 9% | - |
| 36 | HERNANDEZ-CHENG Isabel | 1% | 9% | 28% | 36% | 21% | 5% | - |
| 37 | XU Jessica | - | 3% | 18% | 36% | 30% | 11% | 1% |
| 38 | TAMIR Annika | 19% | 38% | 30% | 11% | 2% | - | - |
| 39 | DWIGGINS Reese | 4% | 18% | 33% | 29% | 13% | 3% | - |
| 40 | GAN Shelby | 1% | 9% | 29% | 36% | 20% | 5% | - |
| 41 | LEE Alyssa | 36% | 42% | 18% | 4% | - | - | - |
| 42 | YUNG Bethany | 1% | 9% | 27% | 36% | 21% | 5% | - |
| 43 | ZHU Riley | - | 2% | 13% | 32% | 36% | 16% | 1% |
| 44 | BROWN Riley | - | 1% | 10% | 28% | 38% | 20% | 3% |
| 45 | GIERAT-KATZ Izabella | 4% | 23% | 37% | 26% | 8% | 1% | - |
| 46 | COHEN Shaina | 9% | 30% | 36% | 19% | 5% | - | - |
| 47 | YUMIACO Nylah | 3% | 17% | 33% | 30% | 14% | 3% | - |
| 48 | JAQUISH Zoey | 3% | 19% | 37% | 29% | 11% | 2% | - |
| 49 | SUN Karolyn | 10% | 29% | 34% | 20% | 6% | 1% | - |
| 50 | MERRIMAN Rie | 15% | 35% | 32% | 15% | 4% | - | - |
| 51 | SCANLAN Alina Nev | 19% | 38% | 29% | 11% | 2% | - | - |
| 52 | BUDMAN Ava | 3% | 21% | 38% | 28% | 9% | 1% | - |
| 53 | SHERMAN Olivia | 3% | 17% | 34% | 30% | 13% | 3% | - |
| 54 | CHANG chaehee | 9% | 33% | 37% | 18% | 4% | - | - |
| 55 | EYUNNI Vibha | 17% | 37% | 31% | 13% | 3% | - | - |
| 56 | SALAZAR Emma | 16% | 37% | 32% | 13% | 2% | - | - |
| 57 | CHENIER Amelia | 43% | 42% | 13% | 2% | - | - | - |
| 57 | HERD Angela | 3% | 20% | 38% | 29% | 9% | 1% | - |
| 59 | YOUSSEF Caroline | 4% | 20% | 34% | 28% | 11% | 2% | - |
| 60 | UEMURA Lyllia | 44% | 40% | 14% | 2% | - | - | - |
| 61 | MOORADIAN Anya | 9% | 30% | 36% | 20% | 5% | - | - |
| 62 | SUN Zhanwen | 8% | 29% | 36% | 21% | 6% | 1% | - |
| 63 | SIDDABATHUNI ananya | 65% | 29% | 5% | - | - | - | - |
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.