Northwest Fencing Center - Tigard, OR, 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 | DUAN Sophie | - | - | - | - | 2% | 21% | 76% |
| 2 | LI Joy | - | - | - | - | 4% | 27% | 68% |
| 3 | LI Alice | - | - | - | 1% | 6% | 31% | 63% |
| 3 | DAI Iris Yuyang | - | - | 1% | 5% | 23% | 44% | 28% |
| 5 | ZHAO Olivia | - | - | 1% | 8% | 29% | 43% | 20% |
| 6 | ZEE Savannah | - | - | - | 5% | 25% | 44% | 26% |
| 7 | MIYOSHI Kylie | - | 1% | 8% | 28% | 37% | 21% | 4% |
| 8 | NEUMANN Erika | - | - | - | 6% | 27% | 46% | 21% |
| 9 | AL-BATTAINEH Eva | - | - | - | 2% | 12% | 41% | 45% |
| 10 | SOE Hayleigh | - | - | 2% | 13% | 35% | 38% | 11% |
| 11 | ZHOU Joi | - | - | - | 2% | 16% | 44% | 38% |
| 12 | MA Isabelle | - | - | 3% | 15% | 34% | 35% | 13% |
| 13 | ZHANG Hannah | - | 5% | 22% | 40% | 26% | 7% | 1% |
| 14 | WANG Doreen | - | 1% | 6% | 19% | 34% | 30% | 10% |
| 15 | CHANG Lydia | - | - | 1% | 8% | 29% | 42% | 19% |
| 16 | TU Averie | 17% | 36% | 30% | 13% | 3% | - | - |
| 17 | LEE Zoe E. | - | 2% | 8% | 23% | 34% | 25% | 7% |
| 18 | XIA Isabella | - | 2% | 10% | 27% | 37% | 21% | 2% |
| 19 | FU Pui Lam (Paisley) | - | 2% | 11% | 29% | 36% | 20% | 2% |
| 20 | LIU Mia | 3% | 19% | 38% | 30% | 9% | 1% | - |
| 21 | YU Sophie | - | - | 3% | 15% | 35% | 35% | 13% |
| 21 | CHEN Aimee | - | 1% | 7% | 25% | 37% | 24% | 6% |
| 23 | LU Keeva | - | 2% | 12% | 27% | 33% | 20% | 5% |
| 24 | KIM Natalie | 2% | 14% | 30% | 32% | 18% | 4% | - |
| 25 | YANG Olivia | - | 2% | 11% | 30% | 37% | 17% | 3% |
| 25 | HSU Rachel | - | 2% | 13% | 32% | 36% | 15% | 2% |
| 27 | ARYA Leela | 1% | 8% | 23% | 33% | 25% | 9% | 1% |
| 28 | SCHULTZ Sumi | 1% | 10% | 26% | 34% | 22% | 6% | - |
| 29 | AHN Hayley | 5% | 21% | 34% | 27% | 11% | 2% | - |
| 30 | LEE Abigail | 5% | 20% | 33% | 27% | 12% | 3% | - |
| 31 | MORENO Josefina | 5% | 22% | 34% | 26% | 10% | 2% | - |
| 32 | JIANG Ziqing | 4% | 19% | 33% | 28% | 12% | 3% | - |
| 33 | TEWARI Amaira | 1% | 12% | 33% | 35% | 16% | 3% | - |
| 34 | QIAO Lori-Ann | - | 1% | 6% | 24% | 43% | 24% | 4% |
| 35 | DESAI Zoya | - | 5% | 19% | 35% | 30% | 10% | 1% |
| 36 | CHENG Audrey | 2% | 13% | 31% | 34% | 16% | 3% | - |
| 37 | CHON SUBIN | 2% | 15% | 33% | 32% | 15% | 3% | - |
| 38 | PAN Samantha | 2% | 13% | 29% | 33% | 18% | 4% | - |
| 39 | CHEN bridgette | 1% | 6% | 19% | 33% | 29% | 11% | 1% |
| 40 | YU Xintong | 6% | 28% | 40% | 21% | 4% | - | - |
| 41 | JU Victoria | 1% | 9% | 34% | 36% | 16% | 3% | - |
| 42 | ANWEILER Megan | 8% | 27% | 35% | 22% | 7% | 1% | - |
| 43 | LI Audrey | 2% | 14% | 34% | 33% | 14% | 3% | - |
| 44 | ZHANG Selina | 3% | 15% | 31% | 32% | 16% | 3% | - |
| 45 | KIM Rylie | 9% | 30% | 36% | 20% | 5% | - | - |
| 46 | LI Beatrice | 5% | 23% | 36% | 26% | 9% | 1% | - |
| 47 | PAEK Ellie | 10% | 37% | 37% | 14% | 2% | - | - |
| 48 | PAWAR Sanvi | 12% | 36% | 35% | 14% | 2% | - | - |
| 49 | SMIRNOV Victoria | 4% | 20% | 34% | 28% | 12% | 2% | - |
| 50 | KIM Olivia | 4% | 22% | 39% | 27% | 7% | 1% | - |
| 51 | ARUNKISHORE Dakshina | 10% | 30% | 34% | 19% | 6% | 1% | - |
| 52 | YOUN Davina | 6% | 30% | 38% | 20% | 5% | - | - |
| 53 | LUO Olivia | 38% | 41% | 17% | 3% | - | - | - |
| 53 | KIM Ellen | 3% | 15% | 31% | 32% | 16% | 3% | - |
| 55 | VALOUEVA Katerina | 44% | 42% | 13% | 2% | - | - | - |
| 56 | LIU Anya | 1% | 7% | 24% | 36% | 25% | 7% | - |
| 57 | WANG Ellen | 27% | 50% | 20% | 3% | - | - | - |
| 57 | NAKAZATO Olivia | 12% | 33% | 35% | 16% | 3% | - | - |
| 59 | WU Allison | < 1% | 1% | 5% | 23% | 40% | 26% | 6% |
| 60 | PAEK Mila | 12% | 34% | 35% | 16% | 3% | - | - |
| 61 | PENG Yuewei | 41% | 44% | 13% | 2% | - | - | - |
| 62 | MERRIMAN Evalyn | 26% | 43% | 24% | 6% | 1% | - | - |
| 63 | KIM Ines | 47% | 39% | 12% | 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.