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 | LEE Sumin | - | - | - | 3% | 17% | 46% | 34% |
| 2 | NGUYEN Tallulah | - | - | - | 4% | 18% | 42% | 36% |
| 3 | WU Amelia | - | - | - | 3% | 18% | 43% | 36% |
| 3 | PEHLIVANI Zara | - | 1% | 6% | 20% | 34% | 29% | 10% |
| 5 | LEE Natasha | - | - | 2% | 15% | 37% | 35% | 10% |
| 6 | GEBALA Natalie Brooke A. | - | - | - | 3% | 17% | 42% | 38% |
| 7 | ZMURK Emma M. | - | - | - | 5% | 25% | 47% | 23% |
| 8 | ZUHARS Renee A. | - | - | - | 3% | 18% | 45% | 34% |
| 9 | WANG Nora | - | - | - | 4% | 18% | 41% | 37% |
| 10 | BALOGH Bella | - | 3% | 14% | 31% | 33% | 16% | 3% |
| 11 | LEE Olivia | 2% | 22% | 47% | 26% | 3% | ||
| 12 | BUSH Emma | - | 3% | 15% | 31% | 33% | 15% | 2% |
| 13 | HSIU Elizabeth | 3% | 17% | 32% | 30% | 15% | 4% | - |
| 14 | SHELIN Chelsea | 1% | 12% | 36% | 35% | 14% | 2% | - |
| 15 | BARON Sabina | - | 1% | 9% | 34% | 39% | 15% | 2% |
| 16 | CHANG Celine A. | 3% | 22% | 38% | 27% | 9% | 1% | - |
| 17 | LIN Ashley | 3% | 19% | 36% | 29% | 11% | 2% | - |
| 18 | YAO Yilin | - | 1% | 12% | 37% | 37% | 12% | 1% |
| 19 | VARGAS Susan M. | 4% | 20% | 34% | 28% | 11% | 2% | - |
| 20 | LORES Alicia | - | 3% | 14% | 32% | 34% | 15% | 2% |
| 21 | CHA Eugenie | 1% | 9% | 24% | 33% | 23% | 8% | 1% |
| 22 | HEPLER Sarah | - | 4% | 16% | 33% | 32% | 13% | 2% |
| 23 | KIM Jayna | 1% | 8% | 23% | 33% | 24% | 9% | 1% |
| 24 | RUNIONS Emersyn | - | 1% | 4% | 15% | 32% | 34% | 15% |
| 25 | LAN Alice S. | - | 1% | 5% | 20% | 37% | 29% | 7% |
| 26 | WANG Angelina | 12% | 32% | 34% | 17% | 4% | 1% | - |
| 27 | DARANOUVONG Logan | - | 2% | 16% | 37% | 33% | 10% | 1% |
| 28 | MONTOYA Kimberlee C. | - | - | 4% | 28% | 68% | ||
| 29 | LENDIS Gabrielle | 14% | 37% | 33% | 13% | 3% | - | - |
| 30 | LI Charlotte | 2% | 15% | 39% | 32% | 11% | 2% | - |
| 31 | NEISINGH Isabelle | 4% | 19% | 33% | 28% | 12% | 3% | - |
| 32 | KUKVA Taisiya | - | 5% | 20% | 36% | 29% | 10% | 1% |
| 33 | HUANG Lanlan | 1% | 10% | 27% | 34% | 21% | 6% | 1% |
| 34 | MUN Brianna K. | - | 3% | 13% | 29% | 33% | 18% | 4% |
| 35 | LEUNG Wan Kiu Hayley | - | 2% | 15% | 36% | 33% | 12% | 1% |
| 36 | PECK Maia A. | - | 3% | 18% | 37% | 31% | 10% | 1% |
| 37 | CHANG Ella | 10% | 45% | 36% | 9% | - | ||
| 38 | BROOKS Tean R. | - | 1% | 6% | 22% | 37% | 27% | 6% |
| 38 | SAYSON Samantha | - | 3% | 14% | 29% | 32% | 18% | 4% |
| 40 | MARSH Janet L. | - | 10% | 39% | 43% | 8% | ||
| 41 | HARRISON Amelia H. | - | - | 1% | 7% | 28% | 43% | 21% |
| 42 | NELSON-LOVE Lily B. | - | 3% | 13% | 28% | 33% | 19% | 4% |
| 43 | GUESNARD Maelig | 31% | 47% | 19% | 3% | - | - | - |
| 44 | MONTOYA Amy C. | - | 2% | 10% | 28% | 35% | 21% | 4% |
| 45 | SOIN Anika A. | - | 5% | 20% | 35% | 28% | 10% | 1% |
| 46 | DALEY Keira | 13% | 35% | 34% | 15% | 4% | - | - |
| 47 | KWON Tiara | 1% | 8% | 25% | 35% | 23% | 7% | 1% |
| 48 | GULLY Wren | 17% | 45% | 30% | 8% | 1% | - | - |
| 49 | RUIZ Lusciana | 18% | 44% | 31% | 7% | 1% | - | - |
| 50 | PERKINS-OLLILA Emily | 66% | 30% | 4% | - | - | ||
| 51 | HABERMAN Hailey | 4% | 18% | 33% | 29% | 13% | 3% | - |
| 52 | LEE Samantha X. | 24% | 39% | 26% | 9% | 2% | - | - |
| 53 | DUONG Zoey | 22% | 40% | 27% | 9% | 1% | - | - |
| 54 | MITRANI Gabriela | 37% | 44% | 16% | 2% | - | - | - |
| 55 | HASIM Eurietta | 32% | 48% | 18% | 2% | - | - | - |
| 56 | OPERARIO Abigail Z. | 1% | 10% | 25% | 33% | 22% | 8% | 1% |
| 57 | CHIMIENTI Michele | - | 1% | 7% | 27% | 39% | 22% | 4% |
| 58 | MADRID Maureen | 7% | 31% | 43% | 17% | 3% | - | - |
| 59 | EGENOLF Gabriella | 55% | 35% | 8% | 1% | - | - | - |
| 60 | LIANG Jingjing | 48% | 41% | 10% | 1% | - | - | - |
| 61 | MEWES Katie M. | 18% | 39% | 31% | 11% | 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.