Round Rock Sports Center - Round Rock, TX, 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 | KWON Hannah | - | - | 1% | 5% | 24% | 44% | 26% |
| 2 | DHAR Rana | - | - | 2% | 12% | 33% | 39% | 15% |
| 3 | WANG Jiayi | - | - | - | 4% | 17% | 41% | 38% |
| 3 | LAI Karen | - | 2% | 15% | 36% | 34% | 12% | 1% |
| 5 | YU Stella | - | - | 1% | 7% | 27% | 43% | 22% |
| 6 | SUNG Olivia | - | - | - | 2% | 14% | 41% | 43% |
| 7 | CHOI Charlotte | - | - | 1% | 6% | 24% | 43% | 27% |
| 8 | ZHANG Wuxin | - | 1% | 10% | 31% | 38% | 17% | 3% |
| 9 | OSMINKINA-JONES Kai | - | - | - | 2% | 13% | 41% | 44% |
| 10 | XIAO Cindy | - | - | 4% | 20% | 43% | 33% | |
| 11 | CLAIANU Adriana | 1% | 13% | 36% | 34% | 13% | 2% | - |
| 12 | HWANG Charlotte | - | 1% | 5% | 17% | 32% | 31% | 13% |
| 13 | LAUREYNS Ainsley | - | 2% | 13% | 31% | 35% | 16% | 2% |
| 14 | WU Daisy | - | - | 3% | 16% | 37% | 34% | 9% |
| 15 | CAI Joanna | 1% | 9% | 27% | 35% | 22% | 6% | 1% |
| 16 | YE Madeleine | - | 1% | 11% | 31% | 37% | 17% | 3% |
| 17 | CHERON Helene | 1% | 6% | 21% | 35% | 27% | 9% | 1% |
| 18 | HU Heidi | - | 2% | 11% | 28% | 36% | 20% | 4% |
| 19 | DUFF Caitlin | 2% | 11% | 26% | 32% | 21% | 7% | 1% |
| 20 | OEI Allyson | 4% | 18% | 31% | 28% | 14% | 4% | - |
| 21 | ZHANG Ashley | - | - | 1% | 6% | 25% | 43% | 24% |
| 21 | JOSHI Samika | - | 3% | 15% | 32% | 33% | 15% | 2% |
| 23 | ROSTHOLDER Hannah | - | 3% | 16% | 34% | 33% | 12% | 1% |
| 24 | YU Skylar | - | - | 4% | 16% | 34% | 34% | 12% |
| 25 | CHENG Zijuan "Grace" | 1% | 5% | 18% | 31% | 29% | 14% | 3% |
| 26 | CAO Kim | - | 4% | 23% | 39% | 26% | 7% | 1% |
| 27 | ZHANG angelina | 24% | 42% | 26% | 7% | 1% | - | |
| 28 | LONG Jessie | - | - | 1% | 7% | 26% | 44% | 23% |
| 29 | ZHANG Olivia | - | 5% | 22% | 38% | 27% | 8% | 1% |
| 30 | MOON Claire | - | 2% | 10% | 32% | 41% | 15% | |
| 31 | ROBBINS Adele | 2% | 14% | 32% | 33% | 16% | 4% | - |
| 32 | LIU Isabel | 1% | 7% | 26% | 37% | 23% | 6% | - |
| 33 | HUANG Valencia | 1% | 7% | 27% | 37% | 22% | 6% | - |
| 34 | ZHU Avril | - | - | 1% | 7% | 25% | 41% | 25% |
| 35 | CHENG Anna | - | 4% | 23% | 38% | 26% | 8% | 1% |
| 36 | KIM Grace M. | - | 5% | 24% | 38% | 25% | 7% | 1% |
| 37 | MEADE Kaia G. | 6% | 27% | 37% | 22% | 7% | 1% | - |
| 38 | ZHANG Nikki | - | 5% | 26% | 39% | 24% | 6% | - |
| 39 | SEO Yunseo | 10% | 32% | 36% | 18% | 4% | - | - |
| 40 | OH Chloe | 12% | 35% | 35% | 15% | 3% | - | |
| 41 | YADAV Tishya | 3% | 18% | 36% | 31% | 11% | 1% | |
| 42 | CHEN Cindy | - | - | 3% | 17% | 37% | 34% | 9% |
| 43 | DING Jolie | 2% | 10% | 24% | 32% | 23% | 8% | 1% |
| 44 | SUTHERLAND Sadie | 17% | 50% | 27% | 6% | 1% | - | - |
| 45 | CORD Sophia | - | 5% | 19% | 34% | 29% | 11% | 1% |
| 46 | CHACKO Anne | 18% | 41% | 29% | 10% | 2% | - | - |
| 46 | LEE Chaewon | 15% | 42% | 31% | 10% | 1% | - | - |
| 48 | GAO Olivia | 3% | 17% | 34% | 31% | 13% | 2% | - |
| 49 | WU Aurora | 39% | 43% | 16% | 3% | - | - | - |
| 50 | VUDTHITHAMRONG Vivienne | 3% | 19% | 38% | 30% | 9% | 1% | |
| 51 | RUSMEVICHIENTONG Lyla | - | 5% | 19% | 35% | 29% | 11% | 1% |
| 52 | WU Melody | 40% | 42% | 15% | 2% | - | - | - |
| 53 | BRAN ROSADO Victoria | 25% | 42% | 25% | 7% | 1% | - | - |
| 54 | NAKATA Gwyneth | 6% | 46% | 36% | 11% | 1% | - | - |
| 55 | POWERS Waverly | 3% | 13% | 28% | 31% | 18% | 6% | 1% |
| 56 | TABANCAY Ava | 2% | 14% | 32% | 33% | 15% | 3% | - |
| 57 | WU Hannah | 18% | 47% | 28% | 7% | 1% | - | - |
| 57 | PALLADINO Aria | 80% | 19% | 1% | - | - | - | - |
| 59 | KARAM Ayleen | 58% | 36% | 6% | - | - | - | - |
| 59 | MCCARTHY Nora Louisa Abrous | 4% | 16% | 30% | 29% | 15% | 4% | - |
| 61 | WINGLER Ezri | 24% | 42% | 26% | 8% | 1% | - | - |
| 62 | JOHNSTON Sabrina | 37% | 41% | 18% | 4% | - | - | - |
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.