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 | HOROWITZ Shuli | - | - | - | 2% | 12% | 40% | 46% |
| 2 | KENSICKI Phoebe | - | - | - | 4% | 19% | 42% | 34% |
| 3 | LIU Ashley | - | - | - | - | 4% | 28% | 68% |
| 3 | WATSON Evelyn | - | - | - | 4% | 17% | 40% | 39% |
| 5 | ZHOU Joi | - | - | - | 2% | 14% | 43% | 41% |
| 6 | ESAKI Kei | - | - | - | 2% | 12% | 38% | 48% |
| 7 | SCHULTZ Sumi | - | 1% | 9% | 26% | 36% | 23% | 4% |
| 8 | SOE Hayleigh | - | - | 1% | 6% | 27% | 43% | 23% |
| 9 | WANG Doreen | - | - | 2% | 13% | 36% | 37% | 12% |
| 10 | PARK Lauren | - | - | - | 2% | 15% | 47% | 36% |
| 11 | THOTA Akira | - | 4% | 16% | 31% | 31% | 15% | 2% |
| 12 | LIGERET Stella | - | - | 3% | 17% | 38% | 34% | 8% |
| 13 | HO Peyton | - | 1% | 6% | 21% | 37% | 29% | 8% |
| 14 | HAN Gian | - | - | 1% | 7% | 27% | 46% | 19% |
| 15 | HAN Mia | - | - | - | 2% | 16% | 49% | 32% |
| 16 | CHENG Audrey | - | 1% | 5% | 18% | 36% | 32% | 9% |
| 17 | HSU Rachel | - | - | 3% | 15% | 35% | 35% | 12% |
| 18 | JIANG Ziqing | - | 3% | 17% | 38% | 33% | 9% | 1% |
| 19 | IRELAND Moira | 1% | 6% | 23% | 37% | 25% | 6% | - |
| 20 | WU Elynna | - | - | 2% | 12% | 34% | 38% | 14% |
| 20 | DESAI Zoya | 1% | 10% | 26% | 33% | 22% | 7% | 1% |
| 22 | NAKAZATO Olivia | 9% | 30% | 36% | 20% | 5% | 1% | - |
| 23 | LIU Anya | - | 6% | 25% | 39% | 24% | 5% | - |
| 24 | CHUNG Katie | 3% | 15% | 31% | 31% | 16% | 4% | - |
| 25 | LAM Dorris Yandor | 1% | 12% | 34% | 36% | 14% | 2% | - |
| 26 | LIN Avery | 1% | 5% | 20% | 35% | 28% | 10% | 1% |
| 27 | JOESUF Aurielle | 4% | 21% | 36% | 27% | 10% | 2% | - |
| 28 | YANG Ava | - | 4% | 17% | 34% | 31% | 12% | 2% |
| 29 | DONG Nancy | 28% | 43% | 23% | 5% | 1% | - | - |
| 30 | SMIRNOV Victoria | 1% | 11% | 29% | 34% | 19% | 5% | - |
| 31 | ZHANG Queeny | - | 1% | 7% | 25% | 39% | 24% | 4% |
| 32 | YUEN Kaitlyn | 15% | 39% | 32% | 11% | 2% | - | - |
| 33 | KIM Ellen | - | 2% | 13% | 33% | 36% | 15% | 1% |
| 34 | KHANAL Sarah | 1% | 12% | 34% | 36% | 15% | 2% | - |
| 35 | CHEN Elysia | 6% | 25% | 36% | 24% | 7% | 1% | - |
| 36 | ZHANG Hannah | - | 3% | 18% | 37% | 32% | 10% | 1% |
| 37 | CHANG Lydia | - | - | 1% | 8% | 27% | 42% | 23% |
| 38 | LI Sophia | - | 1% | 5% | 21% | 40% | 30% | 4% |
| 39 | LI Audrey | - | 4% | 17% | 33% | 31% | 13% | 1% |
| 40 | ZHANG Katie Qingyun | 5% | 30% | 40% | 21% | 4% | - | - |
| 41 | CHEUNG Carabelle | 10% | 32% | 36% | 18% | 4% | - | - |
| 42 | JOESUF Thea | 1% | 12% | 34% | 35% | 15% | 2% | - |
| 43 | DEJOY Leilah | 10% | 30% | 35% | 19% | 5% | 1% | - |
| 44 | PAN Samantha | 2% | 13% | 33% | 35% | 15% | 3% | - |
| 45 | NICOLETTI Thea | 2% | 15% | 32% | 32% | 15% | 3% | - |
| 46 | KIM Ines | 2% | 14% | 36% | 34% | 12% | 2% | - |
| 47 | WU Allison | 1% | 7% | 22% | 34% | 26% | 9% | 1% |
| 48 | KIM Olivia | 20% | 39% | 29% | 10% | 2% | - | - |
| 49 | AI Mirabelle | 2% | 16% | 35% | 32% | 12% | 2% | - |
| 50 | MORENO Josefina | 1% | 13% | 36% | 35% | 13% | 2% | - |
| 51 | CHOI Lydia | 3% | 17% | 34% | 31% | 13% | 2% | - |
| 51 | ARUNKISHORE Dakshina | 3% | 17% | 32% | 30% | 14% | 3% | - |
| 53 | ARCE BASURCO Juliana | 25% | 45% | 25% | 5% | - | - | - |
| 54 | YOUN Davina | 11% | 32% | 35% | 17% | 4% | - | - |
| 54 | JIANG Ziqi | 13% | 35% | 35% | 15% | 3% | - | - |
| 56 | YANG Ana | 16% | 43% | 31% | 9% | 1% | - | - |
| 57 | ARRIBE Mila | 26% | 45% | 23% | 5% | - | - | - |
| 58 | ZHU Claire | 10% | 31% | 36% | 19% | 5% | 1% | - |
| 59 | LIU Madeleine | 40% | 43% | 15% | 2% | - | - | - |
| 60 | TANG Clementine | 32% | 41% | 21% | 5% | 1% | - | - |
| 61 | EBY Sophia | 17% | 39% | 32% | 11% | 2% | - | - |
| 61 | ZHANG Annabelle | 19% | 37% | 29% | 12% | 2% | - | - |
| 63 | LEE Clara | 66% | 29% | 4% | - | - | - | - |
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.