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 | LEE Olivia | - | - | 2% | 13% | 43% | 43% | |
| 2 | LEE Natasha | - | - | - | 1% | 8% | 36% | 55% |
| 3 | BUSH emma | - | - | 1% | 5% | 21% | 41% | 32% |
| 3 | WANG Victoria | - | 3% | 15% | 34% | 35% | 12% | |
| 5 | WANG Ziqi (yoyo) | - | - | 1% | 6% | 23% | 41% | 29% |
| 6 | BEZUGLAYA Varvara | - | - | - | 1% | 6% | 32% | 61% |
| 7 | CHI Chelsea | - | - | 3% | 20% | 46% | 30% | |
| 8 | KUKVA Taisiya | - | - | 4% | 22% | 46% | 27% | |
| 9 | GUO Luxi | - | - | 3% | 18% | 47% | 32% | |
| 10 | PHUKAN Indra | - | 2% | 13% | 36% | 39% | 11% | |
| 11 | AIRES Julia | 1% | 11% | 35% | 38% | 13% | 1% | |
| 12 | XU Serena | 1% | 6% | 20% | 33% | 28% | 11% | 1% |
| 13 | LEE Camilla | - | 3% | 13% | 30% | 33% | 17% | 3% |
| 14 | CHIRASHNYA Mika | 6% | 28% | 40% | 22% | 4% | - | |
| 15 | WANG Angelina | - | 1% | 8% | 28% | 41% | 22% | |
| 16 | WANG Jessie | - | - | 3% | 18% | 47% | 31% | |
| 17 | LIN Ariel | - | 3% | 16% | 35% | 35% | 12% | |
| 18 | MARTYNOVA Diana | - | - | 5% | 24% | 41% | 26% | 4% |
| 19 | HSIU Elizabeth | - | - | 5% | 24% | 41% | 26% | 4% |
| 20 | CAMAMA Tessa | - | 2% | 12% | 29% | 35% | 18% | 3% |
| 21 | WANG Zoe | - | 3% | 15% | 33% | 34% | 13% | 1% |
| 22 | MULAGARI Swarasai | 3% | 19% | 36% | 29% | 11% | 2% | - |
| 23 | MENDOZA zoie | - | 1% | 5% | 20% | 39% | 30% | 5% |
| 24 | MUN Brianna K. | - | - | 2% | 13% | 42% | 43% | |
| 25 | MOLLINIER Angel | 2% | 16% | 35% | 32% | 13% | 2% | |
| 26 | LEE Yeriel | 6% | 26% | 38% | 23% | 6% | 1% | |
| 27 | MANDAP Svetlanna | - | 3% | 15% | 31% | 32% | 16% | 3% |
| 28 | LI Azalea | - | 1% | 12% | 35% | 36% | 14% | 1% |
| 29 | SCHOR Elisabeth | 7% | 28% | 37% | 21% | 6% | 1% | - |
| 30 | BARBARA Camille | - | 1% | 6% | 27% | 47% | 19% | |
| 31 | SHARMA Sanvi | - | 1% | 8% | 27% | 41% | 23% | |
| 32 | BROWN Riley | 2% | 13% | 32% | 35% | 16% | 3% | |
| 33 | LAI Amanda | 2% | 16% | 39% | 32% | 10% | 1% | |
| 34 | CHUNG Penelope | 1% | 10% | 29% | 36% | 20% | 4% | |
| 35 | SALISTRA Emilia | 1% | 13% | 38% | 35% | 11% | 1% | |
| 36 | XU Celina | 2% | 15% | 37% | 34% | 10% | 1% | |
| 37 | LI Yunxuan | 8% | 33% | 39% | 17% | 3% | - | |
| 38 | CHUANG Ramona | 1% | 13% | 42% | 33% | 10% | 1% | - |
| 39 | KAMEL Jana | 1% | 10% | 29% | 36% | 20% | 4% | - |
| 40 | HASIM Eurietta | 8% | 29% | 37% | 21% | 5% | - | |
| 41 | STOMMEL-DIAZ Charly | 8% | 28% | 37% | 21% | 5% | - | |
| 42 | IYER Ishana | - | 6% | 27% | 40% | 22% | 4% | |
| 43 | TANG RUIRUI | 2% | 14% | 36% | 35% | 12% | 1% | |
| 44 | COHEN Shaina | 33% | 46% | 18% | 3% | - | - | |
| 45 | MOHEBI Neeka | 4% | 22% | 40% | 28% | 6% | - | |
| 46 | NGUYEN Jolie T. | - | 4% | 16% | 31% | 32% | 15% | 2% |
| 47 | BLANCO Ariia | 7% | 25% | 35% | 23% | 8% | 1% | - |
| 48 | LIU Baihan | 1% | 8% | 24% | 34% | 24% | 8% | 1% |
| 49 | BAUTISTA DE ROBLES Ekaterine | 4% | 20% | 34% | 28% | 11% | 2% | - |
| 50 | KANDALA Aanya | 24% | 44% | 26% | 6% | - | - | |
| 51 | LIN Isabel | 20% | 39% | 29% | 10% | 2% | - | |
| 52 | ZHANG Helen | 52% | 38% | 9% | 1% | - | - | |
| 53 | YOUSSEF Caroline | 22% | 44% | 27% | 7% | 1% | - | |
| 54 | ZHAO Yanning | 37% | 43% | 17% | 3% | - | - | |
| 55 | SCANLAN Claire | 4% | 22% | 37% | 27% | 9% | 1% | - |
| 56 | BENNETT Vienne | 9% | 30% | 35% | 19% | 5% | 1% | - |
| 57 | LEE Valerie | 28% | 42% | 23% | 6% | 1% | - | - |
| 58 | KAUR Jaap | 18% | 37% | 30% | 12% | 3% | - | - |
| 59 | YANG Arianna | 53% | 40% | 7% | - | - | - | - |
| 60 | CHENG Yiwen | 25% | 46% | 24% | 5% | - | - | |
| 61 | PYE Emily | 39% | 41% | 17% | 3% | - | - | |
| 62 | CHENG Liwen | 23% | 54% | 21% | 3% | - | - | - |
| 63 | TSUI Zoe | 12% | 42% | 35% | 11% | 1% | - | |
| 64 | AMARILLAS-DMITRIENKO Elizabeth | 9% | 31% | 36% | 19% | 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.