Ontario Convention Center - 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 | KIM Saeren | - | - | 1% | 4% | 19% | 41% | 36% | 
| 2 | CORD Sophia | - | 1% | 9% | 29% | 40% | 20% | |
| 3 | BABOLDASHTIAN Rosegol | - | 1% | 5% | 21% | 41% | 28% | 4% | 
| 3 | LONG Chloe | - | - | 1% | 8% | 27% | 42% | 22% | 
| 5 | HSIEH Lucia | - | - | 1% | 9% | 33% | 46% | 11% | 
| 6 | NGUYEN Summer | - | 1% | 10% | 33% | 41% | 15% | |
| 7 | SUNG Isabella | - | - | 3% | 20% | 44% | 32% | |
| 8 | LIN Ariel | - | - | 2% | 12% | 33% | 39% | 13% | 
| 9 | HWANG Charlotte | - | - | - | 2% | 14% | 42% | 42% | 
| 10 | CHANG Kaitlyn | - | - | 2% | 17% | 48% | 33% | |
| 11 | CAO Kim | - | 3% | 13% | 30% | 34% | 18% | 3% | 
| 12 | CHEN Cindy | - | - | 4% | 21% | 44% | 31% | |
| 13 | ZHANG angelina | - | 1% | 10% | 31% | 41% | 15% | 1% | 
| 14 | LIN Rongxuan | - | 6% | 21% | 34% | 28% | 10% | 1% | 
| 15 | ENNIS Charlotte | 6% | 25% | 38% | 24% | 6% | 1% | - | 
| 16 | CAI Joanna | - | 3% | 16% | 35% | 34% | 12% | |
| 17 | CONG Catherine | 2% | 16% | 36% | 33% | 11% | 1% | |
| 18 | SHI Maxine | - | 3% | 19% | 41% | 30% | 7% | |
| 19 | HU Ashley | - | 2% | 11% | 31% | 40% | 17% | |
| 19 | LAUREYNS Ainsley | - | 2% | 11% | 30% | 39% | 18% | |
| 19 | LIQUARD Lea | 8% | 31% | 37% | 19% | 4% | - | |
| 19 | CASAVANTES Gabriela | 13% | 35% | 34% | 15% | 3% | - | |
| 23 | DIMAPILIS JHEAVEN | - | 1% | 6% | 27% | 46% | 20% | |
| 24 | WONG Chloe | 19% | 42% | 29% | 9% | 1% | - | - | 
| 25 | ARVIND Heera | 1% | 12% | 35% | 38% | 12% | 1% | |
| 26 | MERRITT Annabelle | - | 1% | 8% | 28% | 41% | 22% | |
| 27 | BI Mia | 4% | 21% | 37% | 28% | 9% | 1% | |
| 28 | CHENG Zijuan "Grace" | - | - | 2% | 17% | 48% | 33% | |
| 29 | TABANCAY Ava | 1% | 9% | 26% | 35% | 22% | 6% | 1% | 
| 30 | WANG Makayla | 1% | 9% | 26% | 35% | 22% | 6% | 1% | 
| 31 | DING Jolie | 1% | 7% | 23% | 34% | 26% | 9% | 1% | 
| 32 | FAN Tina | 1% | 7% | 23% | 37% | 26% | 6% | |
| 33 | DENG Oscar | 2% | 18% | 37% | 30% | 11% | 1% | |
| 34 | LI Cici | 1% | 8% | 26% | 38% | 22% | 4% | |
| 35 | BAEK Aileen | 2% | 12% | 31% | 34% | 17% | 4% | - | 
| 36 | SANTIAGO Hannah | 1% | 8% | 25% | 35% | 24% | 7% | 1% | 
| 37 | SUTHERLAND Sadie | 13% | 33% | 33% | 16% | 4% | - | - | 
| 39 | CHENG Anna | - | 2% | 14% | 34% | 36% | 13% | |
| 40 | VIGNEUX Nolwenn | 4% | 21% | 38% | 28% | 9% | 1% | |
| 41 | SAYONE Liliana | 15% | 39% | 34% | 11% | 1% | - | |
| 42 | JOHNSTON Sabrina | 13% | 44% | 34% | 9% | 1% | - | |
| 43 | LEE Jadyn | 4% | 18% | 33% | 30% | 14% | 3% | - | 
| 44 | FISCHER Luna | 14% | 35% | 33% | 14% | 3% | - | - | 
| 45 | WOO Ava | 4% | 17% | 33% | 30% | 13% | 3% | - | 
| 46 | PAN Lai An | 33% | 43% | 20% | 4% | - | - | |
| 47 | LI Jessie | 4% | 21% | 36% | 28% | 10% | 1% | - | 
| 48 | DAVIS Layla | 14% | 34% | 33% | 15% | 3% | - | - | 
| 49 | LOPEZ Sophia | 34% | 42% | 19% | 4% | - | - | |
| 50 | YANG Renee | 8% | 32% | 40% | 17% | 2% | - | |
| 51 | ASHIKHMINA Agniya | 3% | 21% | 42% | 27% | 7% | 1% | |
| 52 | LUC Madisyn | 16% | 44% | 31% | 8% | 1% | - | |
| 53 | WEINSTEIN Karina | 40% | 41% | 16% | 3% | - | - | |
| 53 | FANG Lauren | 43% | 43% | 12% | 1% | - | - | |
| 55 | TRAN Esme | 13% | 35% | 34% | 15% | 3% | - | |
| 56 | NGUYEN Amelia | 27% | 44% | 24% | 5% | - | - | |
| 57 | CORTES GUTIERREZ Deihanny Y | - | 1% | 9% | 26% | 36% | 22% | 5% | 
| 58 | HALPERN Athena | 5% | 22% | 35% | 26% | 10% | 2% | - | 
| 59 | KUANG Kylie | - | 3% | 15% | 33% | 32% | 14% | 2% | 
| 60 | HOWARD Sasha | 11% | 35% | 37% | 15% | 2% | - | |
| 61 | ARAVIND Aaradhana | 1% | 12% | 39% | 36% | 11% | 1% | |
| 62 | MISHRA Naisha | 37% | 41% | 18% | 4% | - | - | - | 
| 63 | LEE Alana | 2% | 13% | 32% | 35% | 16% | 2% | |
| 64 | LABAZNIKOVA Alla | 1% | 13% | 35% | 36% | 14% | 1% | - | 
| 65 | HONG Emory | 1% | 8% | 28% | 37% | 21% | 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.