Ontario Convention Center - Hall B - Ontario, 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 | LIU Joy Zhaoyi | - | - | - | - | 1% | 99% | |
| 2 | MANIKTALA Prisha | - | - | - | 1% | 9% | 38% | 52% |
| 3 | KIM Rachel | - | - | - | 1% | 10% | 38% | 51% |
| 3 | CHEN Renee | - | - | - | - | 3% | 41% | 56% |
| 5 | MCSHERRY Ava | - | 2% | 12% | 33% | 38% | 15% | |
| 6 | HO Addison | - | 2% | 13% | 35% | 37% | 13% | |
| 7 | REN Kayley | - | - | 4% | 16% | 34% | 33% | 12% |
| 8 | YANG Audrey | - | - | 3% | 15% | 34% | 35% | 13% |
| 9 | SUN Chloe | - | - | - | 3% | 17% | 42% | 38% |
| 10 | FENG Grace | - | 1% | 7% | 23% | 36% | 26% | 7% |
| 11 | HSU Kaylin | - | 1% | 7% | 25% | 42% | 25% | |
| 12 | SAIFEE Lamya | 1% | 11% | 32% | 35% | 17% | 3% | - |
| 13 | PENG Charlotte | 1% | 16% | 36% | 32% | 13% | 2% | |
| 14 | SWANSON Alexa | - | - | 6% | 26% | 44% | 23% | |
| 15 | OH Ceana | - | - | 6% | 27% | 44% | 23% | |
| 16 | LUO Miranda | - | - | 4% | 28% | 43% | 21% | 3% |
| 17 | ZHANG Soleil C. | - | - | - | - | 9% | 57% | 33% |
| 18 | BEAVER Ava | - | - | 1% | 13% | 39% | 38% | 9% |
| 19 | GAO Anne | - | 5% | 23% | 41% | 26% | 5% | |
| 20 | BARTON Nanea | - | 2% | 15% | 41% | 41% | - | |
| 21 | LENK Sophie | - | 4% | 18% | 37% | 32% | 9% | |
| 21 | JOO Natalie | - | 1% | 8% | 28% | 41% | 22% | |
| 23 | GUAN Adeline | - | 1% | 5% | 20% | 36% | 30% | 8% |
| 24 | YUEN Elsie | 2% | 11% | 28% | 34% | 20% | 5% | - |
| 25 | GUO Audrey | - | 4% | 22% | 41% | 29% | 5% | |
| 26 | MENG Annabel | - | 5% | 21% | 38% | 28% | 7% | |
| 27 | OROPEZA tamara | - | 2% | 12% | 31% | 36% | 17% | 2% |
| 28 | DUAN Sophie | - | - | 5% | 31% | 42% | 19% | 2% |
| 29 | ANDONIAN Lauren | 24% | 45% | 25% | 5% | - | - | |
| 30 | TULYAG Sayda | 5% | 25% | 40% | 25% | 5% | - | |
| 31 | WYNN Kylie | - | 3% | 14% | 32% | 33% | 15% | 3% |
| 32 | ZHANG Ivy | 3% | 15% | 32% | 32% | 16% | 3% | - |
| 33 | ZOU Ella | - | 1% | 5% | 19% | 37% | 31% | 7% |
| 34 | LEVESQUE Brielle | - | 6% | 23% | 38% | 26% | 7% | |
| 35 | KIM Sydney | - | 3% | 18% | 40% | 35% | 4% | - |
| 36 | UHLIG Natalie | 27% | 45% | 23% | 4% | - | - | - |
| 37 | HAN Mia | 4% | 22% | 38% | 27% | 8% | 1% | |
| 38 | LI Alice | 24% | 43% | 26% | 6% | - | - | |
| 39 | ZHANG Gwenyth | 4% | 23% | 38% | 26% | 8% | 1% | |
| 40 | HEFLEY Karsyn | 1% | 6% | 23% | 38% | 27% | 6% | |
| 41 | DHARWADKAR Ovee | 5% | 22% | 35% | 26% | 10% | 1% | - |
| 42 | CHAN Ella | 2% | 16% | 36% | 34% | 11% | 1% | - |
| 43 | CUI alivia | 1% | 7% | 25% | 36% | 24% | 7% | 1% |
| 44 | DESAI Esha | 3% | 16% | 33% | 31% | 14% | 3% | - |
| 45 | PEDERSEN Haley | 17% | 37% | 31% | 12% | 2% | - | - |
| 46 | CHAN Mila | 3% | 20% | 39% | 28% | 9% | 1% | - |
| 47 | SAIFEE Zahra | 5% | 37% | 46% | 10% | 1% | - | - |
| 48 | CHANG Victoria | 12% | 35% | 36% | 14% | 2% | - | - |
| 49 | THERON Zoe | 11% | 35% | 35% | 15% | 3% | - | |
| 50 | MANIMTIM Rachel | 12% | 35% | 36% | 15% | 2% | - | |
| 50 | CHOI Sophie | 5% | 24% | 41% | 26% | 5% | - | |
| 52 | WU Chingfei Amber | 4% | 20% | 36% | 29% | 10% | 1% | |
| 53 | YU Sophie | 41% | 42% | 15% | 2% | - | - | |
| 54 | POEI Lauren | 2% | 17% | 39% | 31% | 9% | 1% | |
| 55 | ZHANG Constance | 14% | 34% | 33% | 15% | 4% | - | - |
| 56 | KRYLTSOVA Eva | 17% | 40% | 31% | 11% | 2% | - | - |
| 57 | LUCAS Ava | 10% | 46% | 37% | 7% | - | - | - |
| 58 | YONG Rosalind | 7% | 30% | 39% | 19% | 4% | - | |
| 59 | LIU Angelina | 35% | 47% | 16% | 2% | - | - | |
| 60 | LIU Ariana | 31% | 43% | 21% | 4% | - | - | |
| 61 | LEE LAUREN | 1% | 25% | 45% | 25% | 3% | - | - |
| 62 | LI Joy | 47% | 41% | 11% | 1% | - | - | |
| 63 | DENG Claire | 29% | 43% | 22% | 5% | 1% | - | - |
| 64 | SAH Madeleine | 63% | 32% | 5% | - | - | - | - |
| 65 | HUGHES Olivia | 27% | 46% | 22% | 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.