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 | KENSICKI Phoebe | - | - | 2% | 10% | 28% | 39% | 21% |
| 2 | CHANG Lydia | - | - | 1% | 8% | 32% | 51% | 8% |
| 3 | SAIFEE Zahra | - | 3% | 15% | 33% | 33% | 14% | 2% |
| 3 | WANG Doreen | - | - | 1% | 9% | 28% | 41% | 21% |
| 5 | CHAN Mila | - | - | - | 3% | 23% | 62% | 12% |
| 6 | SOE Hayleigh | - | - | 3% | 13% | 31% | 36% | 16% |
| 7 | PARK Lauren | - | - | 4% | 18% | 39% | 33% | 5% |
| 8 | LEE Zoe | - | - | 2% | 9% | 28% | 40% | 20% |
| 9 | TELEB Farida | - | 1% | 6% | 20% | 34% | 30% | 10% |
| 10 | ZHANG Hannah | - | 4% | 18% | 36% | 31% | 10% | 1% |
| 11 | LIU Doris-Zihan Zhou | 3% | 16% | 31% | 30% | 15% | 4% | - |
| 12 | FAN Lauren | 11% | 32% | 34% | 17% | 5% | 1% | - |
| 13 | ZHAO Olivia | - | 1% | 5% | 18% | 34% | 31% | 11% |
| 14 | QIAO Lori-Ann | - | - | 3% | 15% | 33% | 35% | 14% |
| 15 | ARUNKISHORE Dakshina | 1% | 7% | 21% | 33% | 27% | 11% | 2% |
| 16 | LIM Kora | 2% | 11% | 27% | 33% | 20% | 5% | - |
| 17 | THOTA Akira | - | 1% | 5% | 19% | 36% | 31% | 8% |
| 18 | SAIFEE Sakina | - | 3% | 13% | 32% | 35% | 16% | 1% |
| 19 | KIM Audrey | - | 5% | 20% | 34% | 28% | 11% | 2% |
| 20 | LU Keeva | - | 2% | 11% | 30% | 37% | 18% | 1% |
| 21 | MAHAPATRA Alisha | 5% | 24% | 38% | 25% | 7% | 1% | - |
| 22 | ZALTZMAN Maya | 1% | 5% | 19% | 33% | 28% | 12% | 2% |
| 23 | DESAI Zoya | - | 3% | 14% | 30% | 32% | 17% | 3% |
| 24 | ZHAN Catherine | 3% | 20% | 37% | 29% | 10% | 1% | - |
| 25 | CHEN Yifan | 6% | 25% | 36% | 24% | 8% | 1% | - |
| 26 | HOM Emma | 5% | 20% | 33% | 27% | 12% | 2% | - |
| 27 | SMIRNOV Victoria | - | 5% | 20% | 34% | 28% | 11% | 1% |
| 28 | SHEN Gloria | 2% | 14% | 35% | 34% | 13% | 2% | - |
| 29 | LIU Mia | 13% | 34% | 33% | 16% | 4% | - | - |
| 30 | XU Ella | - | 1% | 6% | 20% | 34% | 29% | 10% |
| 31 | CHEN Aimee | 4% | 19% | 33% | 29% | 13% | 3% | - |
| 32 | LIU Celia | 12% | 32% | 33% | 17% | 5% | 1% | - |
| 33 | CHENG Audrey | 5% | 23% | 36% | 26% | 9% | 2% | - |
| 34 | LI Annabelle | 1% | 7% | 23% | 34% | 25% | 8% | 1% |
| 35 | LIN Avery | 1% | 6% | 21% | 34% | 28% | 10% | 1% |
| 36 | FATTAL Leila | - | 3% | 14% | 32% | 33% | 15% | 2% |
| 37 | LUO Olivia | 8% | 27% | 34% | 22% | 7% | 1% | - |
| 38 | ARCE BASURCO Juliana | 5% | 20% | 34% | 28% | 11% | 2% | - |
| 39 | KO Adeline | - | - | 1% | 7% | 26% | 44% | 23% |
| 40 | TURBAT Celine | 1% | 9% | 25% | 33% | 23% | 8% | 1% |
| 41 | CHU Chloe | 11% | 39% | 35% | 13% | 2% | - | - |
| 42 | KIM Ines | - | 2% | 13% | 30% | 34% | 17% | 3% |
| 43 | WU Gloria | 2% | 11% | 26% | 32% | 21% | 7% | 1% |
| 44 | KIM Rylie | 1% | 8% | 23% | 33% | 24% | 9% | 1% |
| 45 | PAWAR Sanvi | - | 1% | 8% | 24% | 35% | 25% | 7% |
| 46 | ZEE Bella | 4% | 17% | 32% | 30% | 14% | 3% | - |
| 47 | ZHANG Selene T. | 10% | 30% | 34% | 19% | 6% | 1% | - |
| 48 | LI Audrey | 2% | 11% | 27% | 32% | 20% | 6% | 1% |
| 49 | GUO Jianing | 43% | 41% | 14% | 2% | - | - | - |
| 50 | GOWDA Siyona | 43% | 41% | 14% | 2% | - | - | - |
| 50 | TOYOFUKU Evelyn | 3% | 21% | 38% | 28% | 9% | 1% | - |
| 52 | ARNOLD Evangeline | - | < 1% | 4% | 18% | 36% | 31% | 10% |
| 53 | ZHOU athena | 8% | 27% | 35% | 22% | 7% | 1% | - |
| 53 | LIU Hannah | 3% | 17% | 33% | 30% | 14% | 3% | - |
| 55 | DONG Nancy | - | 1% | 7% | 23% | 35% | 26% | 8% |
| 56 | THANT Leah | - | 1% | 13% | 38% | 35% | 12% | 1% |
| 57 | VALOUEVA Katerina | - | 8% | 29% | 37% | 20% | 5% | - |
| 58 | GU Chenyu | 2% | 12% | 29% | 33% | 19% | 5% | 1% |
| 58 | YANG Claire | 23% | 40% | 27% | 9% | 1% | - | - |
| 60 | LEE Annalyn | < 1% | 6% | 24% | 38% | 25% | 6% | - |
| 61 | SHU Kayla | 13% | 35% | 34% | 14% | 3% | - | - |
| 62 | SCHOR Katherine | 23% | 40% | 27% | 9% | 1% | - | - |
| 63 | KIM Loah | < 1% | 5% | 22% | 35% | 27% | 9% | 1% |
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.