Santa Clara Convention Center - Santa Clara, 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 | GEBALA Gabrielle Grace A. | - | - | - | - | 1% | 16% | 83% |
| 2 | RANDOLPH Piper | - | - | - | 1% | 9% | 36% | 55% |
| 3 | WANDJI Anais | - | - | - | 3% | 14% | 39% | 44% |
| 3 | FUNG Emma | - | - | 4% | 22% | 45% | 29% | |
| 5 | FUNG Vera | - | - | 4% | 22% | 44% | 29% | |
| 6 | CASTANEDA Keira | - | - | 3% | 18% | 41% | 35% | 3% |
| 7 | CHEN Chloe I. | - | - | - | 4% | 19% | 42% | 35% |
| 8 | MANIKTALA Prisha | - | - | 4% | 23% | 45% | 27% | |
| 9 | GOOR Viviene E. | - | - | - | 1% | 12% | 41% | 46% |
| 10 | SUN Chloe | - | 2% | 11% | 31% | 39% | 18% | |
| 11 | RAO Sonia D. | - | - | 5% | 22% | 42% | 27% | 5% |
| 12 | CHANG Elizabeth | - | - | 7% | 30% | 43% | 19% | |
| 13 | BEAVER Hannah | - | 5% | 21% | 37% | 29% | 8% | |
| 14 | KIM Rachel | - | - | 2% | 13% | 37% | 38% | 10% |
| 15 | WELBORN Calissa | - | 1% | 7% | 26% | 39% | 23% | 3% |
| 16 | VO Bao-Vy | - | 2% | 16% | 39% | 33% | 9% | |
| 17 | LAI Sophia | 1% | 9% | 24% | 34% | 24% | 8% | 1% |
| 18 | YAN Noelle | - | 5% | 22% | 38% | 27% | 7% | 1% |
| 19 | KO Claire | - | 2% | 11% | 30% | 36% | 19% | 3% |
| 20 | MU Allison | - | 2% | 12% | 31% | 35% | 18% | 3% |
| 21 | HAN Crystal | - | 1% | 9% | 32% | 42% | 17% | |
| 22 | PENG Serena | - | - | 6% | 28% | 44% | 21% | |
| 23 | HSU Kaylin | - | 4% | 21% | 41% | 28% | 6% | |
| 24 | DENG Melissa | - | 5% | 24% | 39% | 25% | 6% | - |
| 25 | DO Leila | - | 1% | 6% | 24% | 40% | 25% | 4% |
| 26 | LEE Ji Ahn | - | 1% | 7% | 28% | 44% | 21% | |
| 27 | ZHANG Eunice | - | 1% | 10% | 33% | 41% | 16% | |
| 28 | SUN Emily | - | 1% | 9% | 34% | 41% | 15% | |
| 29 | WYNN Kylie | 9% | 33% | 38% | 17% | 3% | - | |
| 30 | SAIFEE Lamya | - | 3% | 16% | 37% | 33% | 10% | - |
| 31 | QUINN Anna | 1% | 11% | 35% | 36% | 14% | 2% | - |
| 32 | HO Addison | 1% | 7% | 26% | 40% | 22% | 4% | |
| 33 | ZHANG Soleil C. | - | 4% | 15% | 31% | 32% | 15% | 2% |
| 34 | PENG Charlotte | 5% | 26% | 42% | 22% | 5% | - | |
| 35 | HAN Ashley | - | 1% | 8% | 25% | 37% | 24% | 5% |
| 36 | WANG Celine S. | 11% | 31% | 34% | 19% | 5% | 1% | - |
| 37 | LENK Sophie | 12% | 38% | 34% | 14% | 2% | - | |
| 38 | MENG Annabel | 35% | 42% | 19% | 4% | - | - | |
| 38 | YANG Audrey | 1% | 6% | 23% | 37% | 26% | 7% | |
| 40 | PATTERSON Natalia | 2% | 15% | 40% | 32% | 10% | 1% | |
| 41 | YUEN Elsie | 10% | 42% | 37% | 10% | 1% | - | |
| 42 | CARVAJAL Sofia | 7% | 31% | 40% | 19% | 3% | - | |
| 43 | LUO Miranda | 1% | 11% | 34% | 36% | 15% | 2% | - |
| 44 | NEUMAN Sophie | 2% | 14% | 36% | 33% | 13% | 2% | - |
| 45 | XIE Su | 1% | 12% | 34% | 36% | 14% | 2% | - |
| 46 | GUAN Adeline | 6% | 23% | 34% | 25% | 10% | 2% | - |
| 47 | CUI alivia | 4% | 29% | 45% | 19% | 3% | - | |
| 48 | LIU Grace | 38% | 43% | 16% | 3% | - | - | |
| 49 | LIU Jessica | 60% | 34% | 6% | - | - | - | |
| 49 | PIQUETTE Annika | 53% | 38% | 8% | 1% | - | - | |
| 51 | LAY Apollonia | 14% | 43% | 33% | 9% | 1% | - | |
| 52 | HOVAGHIMIAN Fira | 2% | 18% | 37% | 30% | 11% | 2% | - |
| 53 | SWANSON Alexa | 4% | 17% | 32% | 30% | 14% | 3% | - |
| 54 | COX Sophia | 12% | 38% | 35% | 13% | 2% | - | - |
| 55 | GOEL Riyana | 48% | 40% | 11% | 1% | - | - | - |
| 56 | MCKAY Teresa | 42% | 42% | 14% | 2% | - | - | - |
| 57 | DESAI Esha | 18% | 44% | 30% | 8% | 1% | - | - |
| 58 | NIRGUDE Esha | 7% | 38% | 38% | 15% | 2% | - | - |
| 59 | HOBSON Ava | 1% | 8% | 24% | 34% | 24% | 8% | 1% |
| 60 | REN Kayley | 1% | 10% | 30% | 36% | 19% | 4% | |
| 61 | EBERHART Ava | 43% | 42% | 13% | 1% | - | - | |
| 62 | DESERANNO Seren | 14% | 45% | 32% | 8% | 1% | - | |
| 63 | LIU Emily | 39% | 43% | 15% | 2% | - | - | - |
| 64 | BABB Cicely | 65% | 30% | 5% | - | - | - | - |
| 65 | DURR Strahlia Devi | 11% | 41% | 34% | 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.