Liontree Arena (RIMAC) @ UC San Diego - La Jolla, 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 | ZHANG XUANYI | - | - | - | - | 3% | 24% | 73% |
| 2 | GAY Sasha | - | - | 3% | 13% | 32% | 36% | 16% |
| 3 | YANG Lea | - | - | 1% | 6% | 25% | 43% | 25% |
| 3 | WANG Jiayi | - | 1% | 7% | 25% | 40% | 24% | 4% |
| 5 | KANG Ellie | - | - | 3% | 15% | 33% | 35% | 13% |
| 6 | DANG Kelia | - | - | 1% | 7% | 25% | 41% | 26% |
| 7 | LIU kai yin aria | - | - | 3% | 14% | 32% | 36% | 15% |
| 8 | NING Lynn | - | 4% | 20% | 35% | 28% | 11% | 2% |
| 9 | ZHAI AMY | - | 1% | 6% | 25% | 39% | 25% | 5% |
| 10 | MUNGUIA Mila | - | 3% | 15% | 34% | 33% | 13% | 2% |
| 11 | GONZALEZ PARTIDA Valeria | 1% | 11% | 29% | 35% | 19% | 5% | - |
| 12 | KIRBY Skye | 3% | 20% | 37% | 28% | 10% | 2% | - |
| 13 | WONG Cerise | 3% | 18% | 37% | 30% | 11% | 2% | - |
| 14 | CAI Veronica | 5% | 26% | 38% | 23% | 7% | 1% | - |
| 15 | ARNOLD Hali | - | - | 2% | 10% | 29% | 39% | 19% |
| 16 | NGUYEN Summer | 11% | 36% | 35% | 15% | 3% | - | - |
| 17 | LIN Elaine | - | - | 1% | 9% | 29% | 42% | 20% |
| 18 | GAUTAM Sahana | - | - | 1% | 7% | 23% | 41% | 28% |
| 19 | LIU Sydney | - | - | - | 3% | 16% | 42% | 39% |
| 20 | MARTINEZ Maria | 1% | 8% | 25% | 34% | 24% | 8% | 1% |
| 21 | DIECK Miranda P. | - | 1% | 6% | 25% | 40% | 24% | 4% |
| 22 | LONG Jessie | - | - | 4% | 19% | 39% | 31% | 7% |
| 23 | ZHAO Abbie | - | 13% | 34% | 33% | 16% | 4% | - |
| 24 | GAIKWAD Ashmiee | - | 2% | 12% | 28% | 34% | 20% | 4% |
| 25 | LIU Hannah | - | 7% | 25% | 36% | 24% | 8% | 1% |
| 26 | SHEARER Alena | 1% | 10% | 29% | 34% | 20% | 5% | 1% |
| 27 | PANCHAL Arya | 58% | 34% | 8% | 1% | - | - | - |
| 28 | KIM Saeren | - | 2% | 10% | 28% | 35% | 21% | 5% |
| 29 | HAN Emma | 2% | 15% | 32% | 31% | 15% | 4% | - |
| 30 | KIM Alexia | 7% | 26% | 36% | 23% | 7% | 1% | - |
| 31 | KIM Satie | 1% | 6% | 22% | 36% | 26% | 8% | 1% |
| 32 | STAPLEY Claire | 25% | 42% | 25% | 7% | 1% | - | - |
| 33 | BORTAI Eliza | 1% | 7% | 24% | 35% | 25% | 7% | - |
| 34 | MOON Claire | 1% | 8% | 30% | 38% | 19% | 4% | - |
| 35 | SCHMIDT Isabel | - | - | - | 2% | 13% | 40% | 45% |
| 36 | WONG Natalie | - | - | 5% | 25% | 40% | 24% | 4% |
| 37 | LI Sonia | - | 1% | 5% | 20% | 36% | 29% | 9% |
| 38 | CHEN Elaine | - | 2% | 10% | 28% | 36% | 20% | 4% |
| 39 | KANG Soeun | 5% | 23% | 38% | 26% | 8% | 1% | - |
| 40 | HU Michelle | - | - | 3% | 15% | 33% | 35% | 13% |
| 41 | LOMOTAN Addison | - | 4% | 16% | 32% | 32% | 15% | 2% |
| 42 | YU Stella | - | 2% | 12% | 30% | 34% | 18% | 3% |
| 42 | SAYSON Andrea | - | 2% | 11% | 30% | 36% | 19% | 3% |
| 44 | YUEN Nicole | - | 1% | 7% | 24% | 37% | 25% | 6% |
| 45 | HENRY Erin | 18% | 45% | 30% | 7% | 1% | - | - |
| 46 | HWANG Charlotte | - | 5% | 22% | 35% | 27% | 10% | 1% |
| 47 | LIM Eunice | 20% | 39% | 29% | 10% | 2% | - | - |
| 48 | HSIEH Lucia | - | 7% | 27% | 39% | 22% | 5% | - |
| 49 | LIN Annika | - | 4% | 16% | 33% | 32% | 13% | 1% |
| 50 | JUNG Sienna | 40% | 42% | 15% | 2% | - | - | - |
| 51 | LO Chloe | - | 3% | 16% | 33% | 32% | 14% | 2% |
| 52 | TEYSSIER Katherine | - | 4% | 17% | 34% | 32% | 12% | 1% |
| 53 | TONG Laurie | 2% | 15% | 32% | 32% | 16% | 4% | - |
| 54 | LEE Madeleine | 22% | 47% | 25% | 5% | 1% | - | - |
| 55 | LIN Ariel | 12% | 34% | 35% | 16% | 3% | - | - |
| 56 | YU Skylar | 2% | 16% | 34% | 31% | 13% | 3% | - |
| 57 | SUN Angela | 11% | 36% | 38% | 13% | 2% | - | - |
| 58 | DEMARIA Lauren | 4% | 20% | 35% | 28% | 11% | 2% | - |
| 59 | BHAVSAR Vanmayi | 37% | 41% | 18% | 4% | - | - | - |
| 60 | VILLAMATER Mia Franchesca | 41% | 44% | 13% | 2% | - | - | - |
| 60 | BI Mia | 49% | 38% | 11% | 1% | - | - | - |
| 62 | CARMODY Skye | 26% | 44% | 24% | 5% | - | - | - |
| 62 | ANDERSON Kathryn | 95% | 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.