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 | CHANG Jonathan | - | - | 3% | 13% | 34% | 38% | 11% |
| 2 | FUKUDA Brando | - | - | 3% | 14% | 31% | 36% | 16% |
| 3 | WANDJI Noah | - | - | - | 4% | 20% | 43% | 32% |
| 3 | LOZANO Veyron Jericho | - | - | - | 5% | 22% | 44% | 29% |
| 5 | QU Zhida (richard) | - | 1% | 6% | 21% | 36% | 28% | 8% |
| 6 | HAYES Stewart | - | - | 2% | 12% | 30% | 38% | 18% |
| 7 | LI Edison M. | - | - | 2% | 12% | 32% | 39% | 15% |
| 8 | YANG Charles | - | - | 1% | 5% | 20% | 41% | 32% |
| 9 | GE Felix Fei | - | 1% | 6% | 22% | 37% | 27% | 7% |
| 10 | PARK William | - | 1% | 8% | 24% | 36% | 25% | 6% |
| 11 | ZHAO Ryan | 3% | 15% | 30% | 31% | 17% | 4% | - |
| 12 | ZHOU Shawn | - | 1% | 7% | 21% | 34% | 28% | 9% |
| 13 | CHANG Eric Jonathan | - | 1% | 5% | 19% | 35% | 30% | 10% |
| 14 | YOU Alan | - | - | 2% | 12% | 33% | 39% | 14% |
| 15 | YU Eric | - | 1% | 8% | 24% | 36% | 25% | 6% |
| 16 | YU ShiYu (Henry) | - | 1% | 7% | 22% | 36% | 27% | 7% |
| 17 | ZHANG Raphael | - | - | 3% | 15% | 32% | 35% | 14% |
| 18 | WANG Elijah (QiChen) | - | 3% | 16% | 33% | 33% | 13% | 2% |
| 19 | CHANG Jeremy | - | - | 1% | 9% | 28% | 40% | 22% |
| 20 | RODRIGUEZ Tyler | - | - | 1% | 8% | 27% | 41% | 22% |
| 21 | YANG Tate | 1% | 8% | 25% | 35% | 24% | 7% | 1% |
| 22 | YU ShiLin (Harry) | - | 1% | 6% | 24% | 39% | 25% | 5% |
| 23 | YANG Steve | 1% | 9% | 25% | 34% | 23% | 7% | 1% |
| 24 | HE Ian | 2% | 13% | 29% | 32% | 18% | 5% | 1% |
| 25 | GUO Joey | 1% | 11% | 29% | 35% | 19% | 4% | - |
| 26 | RAU Shogun | - | 3% | 14% | 32% | 33% | 15% | 2% |
| 27 | LI Lucas | 1% | 8% | 25% | 35% | 23% | 7% | 1% |
| 28 | NAIR Sujit | 4% | 18% | 33% | 30% | 13% | 3% | - |
| 29 | HUYNH Matthew | 1% | 7% | 22% | 34% | 26% | 9% | 1% |
| 30 | HONG Edwin | 2% | 14% | 33% | 33% | 15% | 3% | - |
| 31 | BHUPATHIRAJU Arjun | 1% | 7% | 21% | 33% | 26% | 10% | 2% |
| 32 | PARK Jayden | 2% | 19% | 37% | 29% | 10% | 2% | - |
| 33 | OH Christopher | - | - | 4% | 18% | 36% | 32% | 10% |
| 34 | MURDOCK Koichi | 1% | 12% | 31% | 35% | 17% | 3% | - |
| 35 | WU Wallace | - | 1% | 9% | 26% | 36% | 23% | 5% |
| 36 | CHEN Owen | 4% | 21% | 36% | 27% | 10% | 2% | - |
| 37 | LI Ryan | - | 1% | 5% | 18% | 33% | 31% | 12% |
| 38 | ROBERTS Nikolai | 1% | 10% | 27% | 34% | 21% | 6% | 1% |
| 39 | HO Christopher | - | 3% | 15% | 31% | 32% | 16% | 3% |
| 40 | PAN Ethan | 6% | 26% | 36% | 23% | 7% | 1% | - |
| 41 | YAN Rian | 5% | 21% | 34% | 27% | 11% | 2% | - |
| 42 | PARK Avan | 22% | 43% | 27% | 7% | 1% | - | - |
| 43 | KUANG Cyrus | 2% | 11% | 26% | 33% | 21% | 7% | 1% |
| 44 | SLAIN Owen | 4% | 21% | 36% | 27% | 9% | 1% | - |
| 45 | FUNG Jace Y. | 27% | 44% | 23% | 5% | 1% | - | - |
| 46 | TOYOFUKU Lucas | 36% | 41% | 18% | 4% | - | - | - |
| 46 | THOMAS Noah | 2% | 15% | 35% | 32% | 13% | 2% | - |
| 48 | XU Ethan | 6% | 24% | 36% | 25% | 9% | 1% | - |
| 49 | BEDWORTH Alistair | 14% | 36% | 32% | 14% | 3% | - | - |
| 50 | PARK Andrew | 1% | 13% | 33% | 34% | 16% | 3% | - |
| 51 | YE Jerry | 13% | 32% | 33% | 17% | 5% | 1% | - |
| 52 | ALVAREZ Francisco Janusz | 18% | 37% | 30% | 12% | 3% | - | - |
| 53 | PAINTER Zachary | 1% | 8% | 24% | 34% | 24% | 8% | 1% |
| 53 | HUYNH Kaleb | 7% | 27% | 37% | 22% | 6% | 1% | - |
| 55 | YU Jinyuan | 28% | 44% | 23% | 5% | - | - | - |
| 56 | SHENOY sean | 17% | 40% | 31% | 10% | 1% | - | - |
| 57 | LEE Joshua | 17% | 37% | 31% | 12% | 3% | - | - |
| 58 | CHEN Ryker | 2% | 11% | 27% | 32% | 20% | 6% | 1% |
| 59 | WU Vincent Moxiao | 1% | 8% | 25% | 34% | 23% | 7% | 1% |
| 60 | LI Jonathan | 27% | 41% | 24% | 7% | 1% | - | - |
| 61 | KUANG Vincent | 1% | 12% | 32% | 34% | 17% | 4% | - |
| 62 | WONG Nathaniel | 58% | 34% | 7% | 1% | - | - | - |
| 63 | SHENOY Neil | 27% | 42% | 24% | 6% | 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.