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 | FEARNS Zara A. | - | - | - | 1% | 13% | 45% | 41% |
| 2 | DJAMIRZE Zara | - | - | 2% | 14% | 43% | 41% | |
| 3 | KANG Ellie | - | 1% | 9% | 30% | 40% | 19% | |
| 3 | JIANG Evelyn | - | - | 5% | 22% | 43% | 29% | |
| 5 | ARNOLD Hali | - | - | 1% | 10% | 34% | 41% | 14% |
| 6 | GAIKWAD Ashmiee | 2% | 15% | 35% | 34% | 12% | 1% | |
| 7 | GONZALEZ PARTIDA Valeria | 10% | 29% | 35% | 20% | 6% | 1% | |
| 8 | VESTEL Mira B. | - | - | 5% | 28% | 53% | 13% | |
| 9 | SCHMIDT Isabel | - | - | - | 4% | 21% | 44% | 31% |
| 10 | YANG Lea | - | - | 1% | 6% | 24% | 44% | 25% |
| 11 | GAUTAM Sahana | - | - | 2% | 11% | 30% | 39% | 19% |
| 12 | LIN Elaine | - | - | 4% | 17% | 35% | 33% | 11% |
| 13 | SHEARER Alena | 4% | 18% | 33% | 30% | 13% | 2% | |
| 14 | LIU Sydney | - | - | 1% | 6% | 24% | 43% | 27% |
| 15 | KIM Saeren | - | 5% | 19% | 35% | 29% | 10% | 1% |
| 16 | LO Chloe | - | 5% | 25% | 39% | 25% | 5% | |
| 17 | DOHERTY Maverick L. | - | - | - | 3% | 29% | 67% | |
| 18 | KIM Satie | - | 4% | 22% | 39% | 27% | 8% | 1% |
| 19 | GOLOVITSER Maya | - | - | 2% | 15% | 36% | 35% | 11% |
| 20 | CHEN Elaine | - | - | 5% | 30% | 41% | 20% | 3% |
| 21 | DIECK Miranda P. | - | 2% | 13% | 32% | 36% | 15% | 1% |
| 22 | LI Sonia | - | 2% | 11% | 30% | 36% | 18% | 2% |
| 22 | NGUYEN Summer | 8% | 28% | 37% | 22% | 6% | 1% | - |
| 24 | KANG Soeun | 9% | 42% | 36% | 12% | 2% | - | |
| 25 | YU Stella | 9% | 30% | 37% | 19% | 4% | - | |
| 26 | LEI Zitong (Meya) | 1% | 5% | 19% | 34% | 31% | 11% | |
| 27 | HU Michelle | - | - | 4% | 19% | 39% | 30% | 8% |
| 28 | YUEN Nicole | - | - | 2% | 22% | 42% | 28% | 6% |
| 29 | MUNGUIA Mila | 1% | 7% | 24% | 35% | 24% | 8% | 1% |
| 30 | LIU kai yin aria | - | 2% | 13% | 35% | 37% | 13% | |
| 31 | NAKA Emily | 9% | 34% | 36% | 17% | 4% | - | - |
| 32 | LIN Ariel | 24% | 43% | 26% | 7% | 1% | - | |
| 33 | LIGH Erenei J. | - | - | 1% | 6% | 24% | 44% | 25% |
| 34 | LONG Jessie | 3% | 21% | 42% | 28% | 5% | - | |
| 35 | NING Lynn | 4% | 22% | 38% | 27% | 8% | 1% | |
| 36 | WANG Jiayi | 1% | 6% | 20% | 35% | 29% | 9% | |
| 37 | GAY Sasha | - | 3% | 16% | 36% | 34% | 10% | |
| 38 | HWANG Charlotte | 24% | 45% | 25% | 5% | - | - | |
| 39 | BORTAI Eliza | 4% | 19% | 36% | 29% | 11% | 2% | - |
| 40 | WONG Natalie | - | 6% | 24% | 35% | 25% | 8% | 1% |
| 41 | STAPLEY Claire | 29% | 42% | 22% | 6% | 1% | - | - |
| 42 | TENG Christine Renmei | - | 5% | 22% | 39% | 27% | 6% | |
| 43 | DANG Kelia | - | 1% | 10% | 31% | 42% | 16% | |
| 44 | LIU Hannah | 17% | 39% | 32% | 11% | 1% | - | |
| 45 | TONG Laurie | 4% | 19% | 34% | 29% | 12% | 2% | |
| 46 | ZHAI AMY | - | 7% | 28% | 39% | 22% | 4% | |
| 46 | PANCHAL Arya | 65% | 30% | 4% | - | - | - | |
| 48 | SAYSON Andrea | - | 2% | 12% | 31% | 34% | 17% | 3% |
| 49 | LIN Annika | 1% | 10% | 29% | 35% | 20% | 5% | - |
| 50 | MOON Claire | 1% | 10% | 36% | 37% | 15% | 3% | - |
| 51 | SUN Angela | 7% | 37% | 46% | 9% | 1% | - | - |
| 52 | BHAVSAR Vanmayi | 11% | 48% | 32% | 8% | 1% | - | - |
| 53 | WONG Cerise | 28% | 45% | 23% | 4% | - | - | |
| 54 | HSIEH Lucia | 6% | 23% | 35% | 26% | 9% | 1% | |
| 55 | KIRBY Skye | 18% | 41% | 30% | 9% | 1% | - | |
| 56 | HAN Emma | 14% | 37% | 34% | 13% | 2% | - | |
| 57 | YU Skylar | 1% | 10% | 28% | 35% | 20% | 5% | - |
| 58 | JUNG Sienna | 49% | 39% | 10% | 1% | - | - | - |
| 59 | HENRY Erin | 18% | 49% | 29% | 3% | - | - | - |
| 60 | OLKO Sophie | 12% | 36% | 35% | 14% | 2% | - | - |
| 61 | MATSUO Kei | 2% | 15% | 39% | 35% | 8% | - | |
| 62 | DEMARIA Lauren | 7% | 29% | 37% | 21% | 5% | 1% | - |
| 63 | ROSS Lucy | 47% | 42% | 10% | 1% | - | - | - |
| 64 | LI Jessie | 66% | 30% | 4% | - | - | - | - |
| 65 | SOSIS Bella | 4% | 19% | 33% | 28% | 12% | 3% | - |
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.