Rain City Fencing Center - Bellevue, WA, 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 | YAMASAKI Kyle A. | - | - | 1% | 11% | 43% | 45% | |
| 2 | HUANG Thomas | - | - | 5% | 26% | 52% | 17% | |
| 3 | SUVOROV Yuly | - | 2% | 14% | 38% | 38% | 8% | |
| 3 | CHUNG Ethan Sheng Xuan | 15% | 37% | 33% | 13% | 2% | - | |
| 5 | LEE Andrew O. | - | - | - | - | 6% | 34% | 59% |
| 6 | HABIB Farooq | - | - | - | 5% | 32% | 62% | |
| 6 | DU Shunyu K. | - | 4% | 23% | 44% | 27% | 2% | |
| 8 | BU Xianchen | - | 4% | 19% | 36% | 31% | 9% | |
| 9 | FULLER George K. | - | - | 1% | 11% | 34% | 40% | 14% |
| 10 | SMITH Justin C. | - | 2% | 12% | 31% | 37% | 17% | |
| 11 | ZHOU Justin | 3% | 15% | 33% | 32% | 15% | 2% | |
| 12 | HONZ Jacob | - | - | - | 5% | 23% | 44% | 27% |
| 13 | BREILING Niklas | 4% | 21% | 36% | 27% | 10% | 2% | - |
| 14 | HAMZA Tudor | - | 1% | 8% | 24% | 35% | 25% | 7% |
| 15 | WEGENER Soren | 17% | 41% | 31% | 9% | 1% | - | |
| 16 | CRANOR Erich L. | - | 2% | 11% | 30% | 39% | 19% | |
| 17 | LUEBBE Jost | - | - | - | 3% | 17% | 41% | 39% |
| 18 | ZAYDMAN David M. | - | - | 3% | 15% | 38% | 34% | 10% |
| 19 | MING Nathan | 5% | 26% | 41% | 23% | 4% | - | |
| 20 | PERKA Michael | - | - | 3% | 16% | 41% | 33% | 6% |
| 21 | PETERSEN Ephraim | 1% | 14% | 37% | 34% | 12% | 2% | - |
| 22 | DONDISCH Ilan | 1% | 8% | 24% | 35% | 24% | 7% | 1% |
| 23 | CARLSON Jesse | - | 1% | 7% | 24% | 37% | 26% | 5% |
| 24 | ZHUANG William | 7% | 29% | 40% | 21% | 3% | - | |
| 25 | ELZAYN Hadi S. | - | 3% | 21% | 43% | 29% | 3% | |
| 26 | LEE Tobias (Toby) T. | - | - | 4% | 23% | 50% | 24% | |
| 27 | PETROLL Jared P. | - | - | - | 5% | 34% | 61% | |
| 28 | WELDON Benjamin | - | 5% | 21% | 37% | 29% | 8% | |
| 29 | HU zhe | 10% | 30% | 35% | 19% | 5% | 1% | - |
| 30 | BECKER Joseph | 23% | 43% | 27% | 6% | - | - | |
| 31 | WU Alistair | 2% | 15% | 38% | 34% | 10% | 1% | - |
| 32 | LIPPMAN Jake | 1% | 10% | 34% | 38% | 15% | 2% | - |
| 33 | SPROWLES Cameron D. | - | - | - | 2% | 23% | 75% | |
| 34 | KILUK Andrew | - | - | 2% | 14% | 41% | 36% | 7% |
| 35 | CHAKRABORTY Zorian | 24% | 41% | 26% | 8% | 1% | - | - |
| 36 | PALACIOS Francisco | 14% | 38% | 34% | 12% | 2% | - | - |
| 37 | OLSON Kevin | 14% | 39% | 35% | 11% | 1% | - | |
| 38 | ELLISOR Drayten | 19% | 40% | 30% | 10% | 1% | - | |
| 39 | DONG Haiyi | 1% | 27% | 44% | 23% | 4% | - | |
| 40 | HANNON Owen | 17% | 37% | 31% | 12% | 2% | - | |
| 41 | DESSAUER Tobyn M. | 1% | 8% | 29% | 41% | 19% | 2% | |
| 42 | MAKMATOV Vadim | - | - | 1% | 8% | 26% | 41% | 24% |
| 43 | KIM Andrew J. | - | 4% | 15% | 30% | 32% | 16% | 3% |
| 44 | PENG Gregory | 13% | 36% | 36% | 14% | 2% | - | |
| 45 | JOHNSON Jeff | - | 4% | 16% | 34% | 33% | 12% | |
| 46 | WILLIAMS Derek | 2% | 14% | 33% | 33% | 15% | 3% | |
| 47 | LIPTON Jason S. | - | 4% | 17% | 33% | 31% | 13% | 2% |
| 48 | LIPTON Michael D. | 1% | 9% | 25% | 34% | 23% | 7% | 1% |
| 49 | GOWDA Suyog | 13% | 38% | 35% | 12% | 2% | - | - |
| 50 | KLING Kai | 12% | 42% | 34% | 10% | 1% | - | - |
| 51 | ROBERTS Peter | 3% | 16% | 33% | 31% | 15% | 3% | - |
| 52 | SHOWALTER Cameron J. | 10% | 30% | 34% | 19% | 6% | 1% | - |
| 53 | ROUSE Joseph (Joe) T. | 13% | 39% | 35% | 11% | 1% | - | |
| 54 | BEAVER Aaron | 1% | 25% | 45% | 25% | 5% | - | |
| 55 | KIM Teo | 16% | 39% | 33% | 11% | 1% | - | |
| 56 | VANDERVELDE Pierce F. | 1% | 10% | 32% | 41% | 15% | 1% | |
| 57 | KLEIN Johannes | 8% | 29% | 39% | 20% | 3% | - | |
| 58 | PAINTER Patrick I. | 5% | 21% | 36% | 27% | 9% | 1% | |
| 59 | ARMES Jonas | 9% | 30% | 35% | 20% | 6% | 1% | - |
| 60 | STOCK Jordan | 12% | 34% | 34% | 16% | 3% | - | |
| 61 | JACKSON Thomas | 29% | 45% | 22% | 4% | - | - | |
| 62 | MEHROTRA Dhruv | 90% | 9% | - | - | - | - | |
| 63 | LADD Andrew S. | 9% | 41% | 38% | 11% | 1% | - | - |
| 64 | XUE Jake | 50% | 39% | 10% | 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.