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 | JIANG Evelyn | - | 1% | 7% | 26% | 42% | 23% | |
| 2 | DJAMIRZE Zara | - | - | - | 2% | 14% | 40% | 44% |
| 3 | VINOGOROVA Sofiia | - | - | - | 3% | 15% | 40% | 41% |
| 3 | YUEN Nicole | - | 2% | 11% | 32% | 40% | 17% | |
| 5 | DANG Kelia | - | - | - | 1% | 11% | 38% | 50% |
| 6 | DUDNICK Morgan | - | - | 6% | 26% | 44% | 24% | |
| 7 | ZHU Elaine | - | 4% | 19% | 36% | 30% | 10% | 1% |
| 8 | KIM Satie | - | 4% | 22% | 42% | 27% | 5% | |
| 9 | SUNG Isabella | 2% | 13% | 31% | 34% | 17% | 3% | |
| 10 | LIN Elaine | - | - | 5% | 22% | 43% | 29% | |
| 11 | CONG Anne | - | 1% | 7% | 28% | 44% | 22% | |
| 12 | NING Lynn | 1% | 8% | 23% | 34% | 25% | 8% | 1% |
| 13 | GAIKWAD Ashmiee | - | 1% | 7% | 22% | 34% | 27% | 9% |
| 14 | TAN Adelyn | - | - | 2% | 13% | 36% | 40% | 8% |
| 15 | MAO anna | 1% | 8% | 23% | 33% | 25% | 9% | 1% |
| 16 | ZHAI AMY | - | 1% | 10% | 29% | 37% | 20% | 3% |
| 17 | LIN Annika | 1% | 7% | 28% | 39% | 21% | 4% | |
| 18 | LONG Jessie | 1% | 6% | 21% | 34% | 28% | 10% | 1% |
| 19 | DIECK Miranda P. | - | 1% | 6% | 19% | 34% | 30% | 10% |
| 20 | MOON Claire | 2% | 13% | 31% | 34% | 17% | 3% | |
| 21 | ARNOLD Hali | - | - | 1% | 12% | 40% | 46% | |
| 22 | MISHEV Lila | 1% | 10% | 35% | 38% | 15% | 2% | |
| 23 | ZHU Avril | - | 4% | 15% | 30% | 31% | 16% | 3% |
| 24 | WONG Natalie | - | 3% | 18% | 40% | 32% | 7% | |
| 25 | BORTAI Eliza | 8% | 31% | 38% | 19% | 4% | - | |
| 26 | LEI Zitong (Meya) | - | - | 2% | 10% | 27% | 38% | 22% |
| 27 | RAGHURAMAN Anishka | - | 3% | 14% | 31% | 33% | 16% | 3% |
| 28 | SENGUPTA Jia | 1% | 6% | 19% | 32% | 28% | 12% | 2% |
| 29 | CHANG Annette | 1% | 14% | 39% | 34% | 11% | 1% | |
| 30 | MORINAGA Mirai | 13% | 43% | 33% | 10% | 1% | - | |
| 31 | MAO Elsa | 7% | 27% | 36% | 23% | 7% | 1% | - |
| 32 | HAN Emma | 1% | 8% | 29% | 39% | 21% | 4% | |
| 33 | HUGHES-WILLIAMS Adelayde | - | 1% | 7% | 25% | 41% | 26% | |
| 34 | KIM Saeren | 1% | 7% | 22% | 33% | 26% | 10% | 1% |
| 35 | LIU kai yin aria | - | 1% | 7% | 24% | 39% | 25% | 4% |
| 36 | JUNG Sienna | 37% | 42% | 17% | 3% | < 1% | - | - |
| 37 | ASPIRAS Avery | 11% | 46% | 33% | 9% | 1% | - | |
| 38 | HSIEH Lucia | 3% | 15% | 30% | 30% | 16% | 4% | - |
| 39 | TONG Laurie | 3% | 16% | 34% | 32% | 14% | 2% | - |
| 40 | HUSS Miriam | 20% | 38% | 28% | 11% | 2% | - | - |
| 41 | YU Stella | 3% | 16% | 32% | 31% | 15% | 3% | - |
| 42 | KIRBY Skye | 9% | 28% | 34% | 21% | 7% | 1% | - |
| 43 | WONG Cerise | 3% | 15% | 33% | 32% | 15% | 2% | |
| 44 | STONE Coral | - | 2% | 16% | 37% | 35% | 10% | |
| 45 | TURIANO Nadelle | 1% | 7% | 26% | 38% | 23% | 5% | |
| 46 | BHAVSAR Vanmayi | 63% | 32% | 5% | - | - | - | |
| 47 | YU Skylar | 4% | 19% | 33% | 28% | 13% | 3% | - |
| 48 | SNOAD Indy | 6% | 27% | 39% | 22% | 6% | 1% | - |
| 49 | OU Yixuan | - | 4% | 16% | 31% | 31% | 15% | 3% |
| 50 | LI Miranda | 22% | 40% | 28% | 9% | 1% | - | - |
| 51 | KIM Grace M. | 4% | 20% | 33% | 28% | 12% | 3% | - |
| 52 | SANTOS Charlize | 17% | 36% | 31% | 13% | 3% | - | - |
| 53 | YAO mucen | 5% | 25% | 40% | 24% | 6% | 1% | |
| 53 | LEE Madeleine | 38% | 42% | 17% | 3% | - | - | |
| 55 | PANCHAL Arya | 53% | 38% | 8% | 1% | - | - | |
| 56 | LONG Chloe | 7% | 26% | 36% | 24% | 7% | 1% | |
| 57 | LI Meredith | 52% | 38% | 9% | 1% | - | - | |
| 58 | NAIR Supriya | - | 4% | 23% | 41% | 27% | 6% | |
| 59 | DING Jolie | 18% | 50% | 27% | 5% | - | - | |
| 60 | WANG Jiayi | 1% | 6% | 21% | 36% | 28% | 9% | 1% |
| 61 | LIN Ariel | 10% | 30% | 35% | 19% | 5% | 1% | - |
| 62 | YE Isabella | 2% | 11% | 28% | 34% | 20% | 5% | - |
| 63 | ZHANG JADY | 6% | 22% | 33% | 26% | 11% | 2% | - |
| 64 | IREGUI Sofia | 7% | 30% | 38% | 20% | 5% | - | - |
| 65 | DESCHLER Violet | 16% | 37% | 32% | 13% | 2% | - | |
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.