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 | LIN Elaine | - | - | 1% | 9% | 32% | 41% | 16% |
| 2 | LIU Sydney | - | - | - | 4% | 20% | 44% | 32% |
| 3 | LONG Jessie | - | - | 5% | 24% | 41% | 25% | 5% |
| 3 | OCA Merci | - | - | 3% | 15% | 34% | 35% | 14% |
| 5 | ARNOLD Hali | - | - | - | 2% | 14% | 43% | 41% |
| 6 | YUEN Nicole | - | 1% | 6% | 20% | 34% | 29% | 10% |
| 7 | DIECK Miranda P. | - | 2% | 9% | 24% | 34% | 24% | 7% |
| 8 | RAGHURAMAN Anishka | - | 3% | 16% | 33% | 31% | 13% | 2% |
| 9 | KANG Ellie | - | - | 2% | 10% | 29% | 40% | 20% |
| 10 | BONIS-RAMIREZ Mirka A. | - | 1% | 5% | 18% | 35% | 31% | 10% |
| 11 | LO Chloe | - | 1% | 7% | 22% | 36% | 27% | 7% |
| 12 | HAN Emma | - | 3% | 13% | 29% | 33% | 18% | 4% |
| 13 | PARK Chloe | - | 3% | 21% | 37% | 28% | 10% | 1% |
| 14 | HWANG Charlotte | - | 1% | 12% | 31% | 35% | 18% | 3% |
| 15 | KIRBY Skye | - | 6% | 24% | 38% | 25% | 6% | - |
| 16 | NGUYEN Siena | - | - | 1% | 6% | 22% | 41% | 29% |
| 17 | GOLOVITSER Maya | - | 1% | 4% | 18% | 35% | 32% | 11% |
| 17 | KIM Saeren | - | 5% | 18% | 32% | 29% | 13% | 2% |
| 19 | KIM Satie | - | 2% | 13% | 31% | 34% | 17% | 3% |
| 20 | GAIKWAD Ashmiee | - | 3% | 13% | 29% | 32% | 18% | 4% |
| 21 | LIU kai yin aria | - | - | 1% | 7% | 28% | 45% | 19% |
| 22 | GRULICH Rayaana | - | - | 4% | 15% | 33% | 34% | 13% |
| 22 | YU Skylar | 2% | 13% | 31% | 33% | 17% | 4% | - |
| 24 | YAM Danika | - | - | 2% | 11% | 30% | 39% | 19% |
| 25 | BORTAI Eliza | - | 5% | 22% | 38% | 27% | 7% | 1% |
| 26 | LEI Zitong (Meya) | - | 1% | 7% | 22% | 35% | 26% | 8% |
| 27 | BORDAS HILL Georgiana | - | - | 4% | 18% | 36% | 31% | 10% |
| 28 | MISHEV Lila | 4% | 21% | 34% | 27% | 11% | 2% | - |
| 29 | JEFFORDS Sophia | 2% | 11% | 27% | 32% | 20% | 6% | 1% |
| 30 | HSIEH Lucia | 1% | 11% | 31% | 35% | 18% | 4% | - |
| 31 | NGUYEN Summer | 3% | 21% | 42% | 27% | 7% | 1% | - |
| 32 | CHEN Elaine | - | - | 4% | 17% | 35% | 33% | 11% |
| 33 | TONG Laurie | 1% | 10% | 27% | 34% | 21% | 6% | 1% |
| 34 | LIN Annika | 1% | 10% | 26% | 34% | 22% | 6% | 1% |
| 35 | CHANG Annette | - | 3% | 20% | 40% | 28% | 8% | 1% |
| 36 | SAMPATH Medha | 24% | 43% | 25% | 7% | 1% | - | - |
| 37 | WONG Natalie | - | 1% | 8% | 25% | 36% | 24% | 6% |
| 38 | KHOST Maeve | - | 1% | 10% | 29% | 36% | 20% | 4% |
| 39 | RIVERA Brenda | 3% | 16% | 31% | 30% | 16% | 4% | - |
| 40 | YU Stella | 1% | 7% | 24% | 35% | 24% | 8% | 1% |
| 41 | NAKA Emily | 3% | 19% | 34% | 29% | 13% | 3% | - |
| 42 | SENGUPTA Jia | 1% | 9% | 26% | 35% | 22% | 7% | 1% |
| 43 | TEYSSIER Katherine | 1% | 7% | 24% | 35% | 24% | 8% | 1% |
| 44 | LOMOTAN Addison | - | 1% | 5% | 18% | 34% | 31% | 11% |
| 44 | WILSON Eva | - | 2% | 12% | 29% | 35% | 18% | 4% |
| 46 | CAI Veronica | 2% | 15% | 33% | 31% | 15% | 3% | - |
| 47 | BI Mia | 10% | 49% | 31% | 8% | 1% | - | - |
| 48 | LIM Eunice | 27% | 44% | 23% | 6% | 1% | - | - |
| 49 | KANG Soeun | 1% | 11% | 34% | 36% | 16% | 3% | - |
| 50 | BAIRD Kaleah | 21% | 42% | 28% | 9% | 1% | - | - |
| 51 | SHEARER Alena | 1% | 10% | 26% | 34% | 22% | 7% | 1% |
| 52 | LIN Ariel | 18% | 36% | 30% | 13% | 3% | - | - |
| 53 | LIU Hannah | 6% | 26% | 37% | 23% | 7% | 1% | - |
| 54 | BHAVSAR Vanmayi | 2% | 27% | 41% | 24% | 6% | 1% | - |
| 55 | NING Lynn | 3% | 15% | 30% | 31% | 16% | 4% | - |
| 56 | OLKO Sophie | 24% | 40% | 26% | 8% | 1% | - | - |
| 57 | LI Jessie | 59% | 34% | 6% | - | - | - | - |
| 58 | ERPELDING Emily | 22% | 43% | 27% | 8% | 1% | - | - |
| 59 | JUNG Sienna | 10% | 43% | 36% | 10% | 1% | - | - |
| 60 | KURTH Maya | 37% | 41% | 18% | 4% | - | - | - |
| 61 | LEE Madeleine | 39% | 41% | 16% | 3% | - | - | - |
| 61 | ANDERSON Kathryn | 81% | 18% | 1% | - | - | - | - |
| 63 | SCHOTT Marine | 73% | 25% | 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.