Factory 220 - Passaic, NJ, 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 | CHEN Zhengyang (Allen) | - | - | - | 4% | 18% | 41% | 36% |
| 2 | DURKIN Hudson | - | - | 1% | 10% | 31% | 40% | 18% |
| 3 | MILINKOVIC Maksim | - | 1% | 6% | 23% | 39% | 26% | 4% |
| 3 | KIM Henry | - | - | - | 1% | 7% | 34% | 58% |
| 5 | CRESPO Nathaniel Justus | - | - | 1% | 5% | 21% | 42% | 32% |
| 6 | SOLARZ Arthur | - | 1% | 9% | 27% | 37% | 22% | 3% |
| 7 | NG Nico | - | - | 6% | 24% | 39% | 25% | 6% |
| 8 | CHEN Jayden | - | - | 1% | 9% | 30% | 41% | 19% |
| 9 | LI Morgan | - | - | 1% | 8% | 27% | 41% | 23% |
| 10 | CARPENTER Touma S. | - | - | 4% | 19% | 40% | 32% | 5% |
| 11 | LIU Adam | - | - | - | 1% | 7% | 33% | 58% |
| 12 | PARKER Isaiah | - | - | - | 1% | 6% | 33% | 61% |
| 13 | ZHAI Junqi | - | 1% | 4% | 17% | 35% | 34% | 11% |
| 14 | YAMAGUCHI Yuzuki | - | 2% | 10% | 27% | 35% | 22% | 4% |
| 15 | HELMY Richard | - | - | 4% | 16% | 33% | 34% | 14% |
| 16 | CHEN Evan | - | 5% | 20% | 35% | 28% | 10% | 1% |
| 17 | GAO Victor | - | - | 1% | 8% | 28% | 44% | 19% |
| 18 | CHEN Edward | - | - | 3% | 15% | 34% | 35% | 13% |
| 19 | TARCHICHI Robby | - | - | - | 4% | 19% | 43% | 33% |
| 20 | NOOL Alexander | 1% | 7% | 23% | 35% | 26% | 8% | 1% |
| 21 | LI Ryan | 1% | 8% | 25% | 35% | 24% | 7% | - |
| 22 | CUELLAR Markus | - | 2% | 10% | 26% | 34% | 22% | 5% |
| 23 | GAO Ryan | 3% | 19% | 39% | 29% | 9% | 1% | - |
| 24 | MAKOLO Hudson | - | 3% | 14% | 32% | 34% | 16% | 3% |
| 25 | CHEN Tianjun | - | 2% | 14% | 35% | 35% | 13% | 1% |
| 26 | TSIEN Richard | 1% | 6% | 20% | 34% | 27% | 11% | 2% |
| 27 | WANG-SONG Evan | 1% | 7% | 22% | 34% | 27% | 9% | 1% |
| 28 | LI Ray | - | 5% | 21% | 37% | 28% | 9% | 1% |
| 29 | CHO Adrian | 1% | 7% | 22% | 34% | 26% | 9% | 1% |
| 30 | LEE Henry | - | 4% | 17% | 32% | 30% | 14% | 2% |
| 30 | LI Terence | - | 4% | 18% | 36% | 31% | 11% | 1% |
| 32 | BHANDARE Veer | - | 4% | 18% | 36% | 31% | 10% | 1% |
| 33 | LAU LUCAS | - | 4% | 16% | 31% | 31% | 15% | 3% |
| 34 | BRESLAV Asher | 5% | 23% | 36% | 26% | 8% | 1% | - |
| 34 | KLOTS Theo | 35% | 42% | 19% | 4% | - | - | - |
| 36 | LIU George | 4% | 24% | 40% | 24% | 7% | 1% | - |
| 37 | WILLIAMS Gavin | 13% | 33% | 33% | 16% | 4% | - | - |
| 38 | MOZZER Nolan | 1% | 10% | 27% | 35% | 21% | 5% | - |
| 39 | CZEPLA Andrew | 1% | 9% | 26% | 34% | 22% | 7% | 1% |
| 40 | NILSEN Mark | - | 2% | 15% | 36% | 33% | 13% | 2% |
| 41 | YU Kenneth | 8% | 27% | 36% | 22% | 6% | 1% | - |
| 42 | QI Bryan | 18% | 43% | 29% | 8% | 1% | - | - |
| 43 | JHUNJHUNWALA Milan | 1% | 8% | 28% | 37% | 21% | 5% | - |
| 44 | WEISELBERG Mark | 5% | 27% | 38% | 22% | 6% | 1% | - |
| 45 | CHEN Cameron | 4% | 18% | 33% | 30% | 13% | 3% | - |
| 46 | KIM Zac | 1% | 10% | 28% | 35% | 20% | 5% | - |
| 47 | TANG Colin | 3% | 19% | 35% | 29% | 11% | 2% | - |
| 48 | AU Joshua | 14% | 34% | 33% | 15% | 4% | - | - |
| 49 | LEE Kalvin | 14% | 35% | 33% | 15% | 3% | - | - |
| 50 | JOYNER Braylon | 1% | 9% | 25% | 34% | 22% | 7% | 1% |
| 51 | TOPRANI Valmik | 4% | 19% | 34% | 28% | 12% | 2% | - |
| 52 | FRIZZELL Kai | 4% | 20% | 34% | 28% | 11% | 2% | - |
| 53 | WELCH Sebastian | 53% | 37% | 9% | 1% | - | - | - |
| 54 | SMITH Theo | 35% | 44% | 18% | 3% | - | - | - |
| 55 | SHAPIRO Samuel | 18% | 38% | 31% | 12% | 2% | - | - |
| 55 | XIE Richard | 14% | 39% | 34% | 12% | 2% | - | - |
| 57 | CHEN Jayden | 12% | 43% | 35% | 10% | 1% | - | - |
| 58 | THOMAS Ethan | 2% | 12% | 30% | 34% | 18% | 4% | - |
| 59 | THOMAS Andrew | 2% | 15% | 34% | 32% | 14% | 3% | - |
| 60 | WAGNER Bennett | 45% | 41% | 13% | 2% | - | - | - |
| 61 | WANG Marcus | 9% | 31% | 35% | 19% | 5% | 1% | - |
| 61 | WANG Eric | 39% | 41% | 17% | 3% | - | - | - |
| 63 | LEE Ryan | 39% | 43% | 15% | 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.