Santa Clara Convention Center - Santa Clara, 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 | BIDA Violetta | - | - | - | 4% | 32% | 64% | |
| 2 | VAN BRUMMEN Anna C. | - | - | - | - | - | 3% | 97% |
| 3 | MONTOYA Kimberlee C. | - | - | 1% | 5% | 20% | 41% | 33% |
| 3 | MARTYNOVA Diana | - | - | 1% | 8% | 27% | 42% | 23% |
| 5 | ELSTON Sophia | - | - | 1% | 7% | 24% | 42% | 27% |
| 6 | CAMAMA Tessa | - | - | 3% | 15% | 34% | 35% | 12% |
| 7 | SCHOR Elisabeth | 1% | 7% | 25% | 37% | 25% | 6% | - |
| 8 | XU Jessica | - | 5% | 18% | 35% | 31% | 10% | |
| 9 | LIN Laura | 2% | 16% | 36% | 33% | 11% | 1% | |
| 10 | LIANG Jingjing | 1% | 9% | 27% | 36% | 22% | 5% | |
| 11 | LAI Amanda | - | - | 1% | 7% | 26% | 43% | 24% |
| 12 | SCHULTZ Nomi | - | 8% | 29% | 42% | 20% | ||
| 13 | KROTZ Gemma | 1% | 10% | 28% | 36% | 21% | 4% | |
| 14 | SUN Karolyn | 2% | 13% | 34% | 36% | 14% | 1% | |
| 15 | SUN Hanya | - | - | 1% | 7% | 27% | 43% | 22% |
| 16 | WANG Jessie | - | 1% | 6% | 22% | 37% | 27% | 7% |
| 17 | SALISTRA Emilia | - | - | 4% | 18% | 36% | 32% | 10% |
| 18 | MOHAN Riya | - | 2% | 13% | 32% | 35% | 16% | 2% |
| 19 | DALEY Keira | - | 1% | 7% | 25% | 41% | 26% | |
| 20 | MOLLINIER Angel | 1% | 8% | 26% | 39% | 23% | 3% | |
| 21 | HEPLER Sarah | - | 1% | 7% | 24% | 36% | 26% | 6% |
| 22 | XU Celina | 2% | 15% | 33% | 32% | 15% | 3% | - |
| 23 | MENDOZA zoie | - | 4% | 18% | 35% | 32% | 11% | |
| 24 | BURICEA Ada | 2% | 14% | 32% | 33% | 16% | 3% | |
| 25 | LIN Isabel | 1% | 10% | 27% | 36% | 21% | 4% | |
| 26 | SAUCEDO Grecia | - | 3% | 16% | 35% | 33% | 12% | - |
| 27 | KANE Chloe | 2% | 20% | 40% | 30% | 7% | ||
| 28 | YOUN Kylie | 9% | 31% | 36% | 19% | 5% | - | |
| 29 | SUNG Audrey | 22% | 43% | 27% | 7% | 1% | - | |
| 30 | DYMAR Anna | 3% | 19% | 40% | 31% | 7% | - | |
| 31 | WANG Lihong | 7% | 26% | 37% | 23% | 7% | 1% | - |
| 32 | LEE Kaitlyn | 6% | 25% | 37% | 24% | 7% | 1% | - |
| 33 | BUCA Nora | 3% | 23% | 41% | 27% | 6% | ||
| 34 | LEE Emily | 1% | 13% | 36% | 37% | 13% | ||
| 35 | CHO Jacey | 2% | 16% | 35% | 32% | 12% | 2% | - |
| 36 | HERNASA Anna | - | 5% | 20% | 35% | 29% | 10% | 1% |
| 37 | BURKS Madison | 1% | 10% | 29% | 35% | 19% | 5% | - |
| 38 | BUDMAN Ava | 13% | 34% | 34% | 16% | 3% | - | |
| 39 | FISCHBEIN Quinley | 2% | 15% | 35% | 34% | 13% | 1% | |
| 40 | ZHUANG Lauren | - | 3% | 15% | 32% | 33% | 15% | 2% |
| 41 | FENG Iris | 6% | 25% | 37% | 24% | 7% | 1% | - |
| 42 | CHUNG Penelope | - | 3% | 15% | 34% | 35% | 13% | - |
| 43 | YUMIACO Nylah | 9% | 32% | 37% | 18% | 4% | - | |
| 44 | RADOV Una | 6% | 30% | 38% | 20% | 5% | 1% | - |
| 45 | KANDALA Aanya | 20% | 46% | 27% | 7% | 1% | - | - |
| 46 | CHEONG Chloe | 3% | 15% | 33% | 32% | 14% | 3% | - |
| 47 | LI Yunxuan (Joy) | 1% | 8% | 26% | 37% | 23% | 6% | 1% |
| 48 | YUEN Elsie | 23% | 40% | 27% | 9% | 1% | - | |
| 49 | XU Emily (Hua) | 31% | 43% | 22% | 5% | - | - | |
| 50 | SIU Phoeland (Momo) M. | - | 3% | 16% | 39% | 34% | 8% | |
| 51 | RALSTON Katy | 13% | 34% | 34% | 16% | 4% | - | |
| 52 | SHETTY Nandita | 22% | 43% | 27% | 7% | 1% | - | |
| 53 | NAZARENKO Olena | 58% | 34% | 7% | 1% | - | ||
| 54 | CHIEM Karen | - | 5% | 20% | 35% | 28% | 10% | 1% |
| 55 | MULAGARI Swarasai | - | 6% | 23% | 35% | 26% | 9% | 1% |
| 56 | LE Luana | 38% | 41% | 17% | 3% | - | - | - |
| 57 | EYUNNI Vibha | 22% | 40% | 27% | 9% | 1% | - | - |
| 57 | KILLY Violet | 8% | 31% | 36% | 19% | 5% | 1% | - |
| 59 | UEMURA Lyllia | 29% | 43% | 22% | 5% | 1% | - | - |
| 60 | YUNG Bethany | 4% | 19% | 35% | 29% | 11% | 1% | |
| 61 | ZU Jacqueline | 15% | 39% | 32% | 11% | 2% | - | - |
| 62 | HALUSHKO Liliia | 2% | 16% | 35% | 32% | 13% | 2% | - |
| 63 | HANSEN Kira | < 1% | - | 1% | 6% | 31% | 63% | |
| 64 | HILL Aurora | 52% | 37% | 10% | 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.