Boston Fencing Club - Boston, MA, 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 | CHIANG William | - | 2% | 11% | 29% | 38% | 20% | |
| 2 | CHEN Tianjun | - | - | 1% | 5% | 20% | 42% | 32% |
| 3 | ZHENG Jason | - | 1% | 5% | 22% | 43% | 29% | |
| 3 | LANE Sawyer | 4% | 16% | 31% | 30% | 15% | 4% | - |
| 5 | CHEN Evan | - | - | 1% | 5% | 21% | 42% | 32% |
| 6 | TANG Luke | - | 1% | 4% | 15% | 31% | 34% | 15% |
| 7 | LEE Harrison | - | 2% | 12% | 30% | 37% | 18% | |
| 8 | DING Charlie | 15% | 35% | 32% | 14% | 3% | - | |
| 9 | CHEN Daniel | - | - | 4% | 17% | 35% | 33% | 11% |
| 10 | CHEN Jayden A | 6% | 26% | 38% | 24% | 5% | < 1% | |
| 11 | ROFINO Samuel | 6% | 23% | 35% | 26% | 9% | 1% | |
| 12 | FANG Charlie | - | - | 1% | 7% | 25% | 41% | 26% |
| 13 | YU George | 5% | 22% | 37% | 27% | 9% | 1% | |
| 14 | CHO Adrian | 1% | 9% | 30% | 40% | 19% | 1% | |
| 15 | MALLAKIS Efstathios | 3% | 15% | 31% | 32% | 16% | 4% | - |
| 16 | CHEN Hayden | 10% | 30% | 35% | 19% | 5% | 1% | |
| 17 | HOREMIOTIS Bennett | 1% | 10% | 28% | 35% | 21% | 5% | |
| 18 | LAI Jayden | - | 2% | 10% | 25% | 34% | 23% | 6% |
| 19 | DAI Jason | 2% | 14% | 31% | 33% | 17% | 3% | |
| 20 | DIMOV Daniel | - | - | 4% | 16% | 34% | 34% | 11% |
| 21 | RICK Dylan | 16% | 37% | 32% | 13% | 2% | - | - |
| 22 | LITVINOVSKY Benjamin | - | 3% | 14% | 31% | 34% | 16% | 2% |
| 23 | NOVAK Luke | 2% | 12% | 31% | 35% | 17% | 3% | |
| 24 | WILLIAMS Gavin | 14% | 38% | 35% | 12% | 1% | - | |
| 25 | BURDICK Elijah | 1% | 8% | 24% | 35% | 25% | 7% | |
| 26 | SCHLUBACH Jasper | 3% | 16% | 32% | 31% | 15% | 3% | - |
| 27 | GUJJA Rishabh | - | 1% | 4% | 17% | 35% | 33% | 10% |
| 28 | PINCIROLI Tommaso | 8% | 27% | 35% | 22% | 7% | 1% | |
| 29 | SMITH Theo | 2% | 11% | 28% | 35% | 21% | 5% | |
| 30 | SHI Evan | 4% | 18% | 33% | 30% | 13% | 2% | |
| 31 | QI Bryan | 3% | 17% | 33% | 31% | 14% | 2% | |
| 32 | YOON Jonathan | 6% | 22% | 35% | 26% | 10% | 1% | |
| 33 | DANA Miles | 1% | 6% | 20% | 34% | 28% | 10% | 1% |
| 34 | LI Jayden | 10% | 30% | 35% | 20% | 5% | 1% | |
| 35 | CAVALLARO Sebastian | 15% | 39% | 34% | 11% | 1% | - | |
| 36 | LANDMAN Martin | 13% | 33% | 34% | 16% | 4% | - | |
| 37 | LEE Jack | 1% | 9% | 23% | 32% | 24% | 9% | 1% |
| 38 | KESELMAN Ron | 4% | 20% | 34% | 28% | 11% | 2% | - |
| 39 | LIU Kyle | 2% | 12% | 30% | 33% | 18% | 5% | - |
| 40 | RICHARDSON Matthew | 15% | 38% | 33% | 12% | 2% | - | |
| 41 | CHALLAMEL Hadrien | 1% | 7% | 23% | 35% | 26% | 7% | |
| 42 | IVANOV Andrew | - | 5% | 18% | 34% | 32% | 11% | |
| 43 | ALIMI Mousa | - | - | 3% | 21% | 49% | 27% | |
| 44 | SARKAR Aum | - | 1% | 12% | 35% | 39% | 13% | |
| 45 | ZOU Grant | 4% | 17% | 31% | 30% | 15% | 4% | - |
| 46 | CAVALLARO Xavier | 2% | 12% | 29% | 33% | 18% | 5% | - |
| 47 | JIN Derek | 4% | 20% | 34% | 28% | 12% | 2% | - |
| 48 | ZINCHUK Yuri | 4% | 20% | 34% | 29% | 12% | 2% | |
| 49 | KLOTS Theo | 4% | 20% | 34% | 29% | 12% | 2% | |
| 50 | MURPHY CHANCOGNE Quentin | - | 3% | 16% | 35% | 34% | 11% | |
| 51 | EFFEL Samuel | - | < 1% | 4% | 26% | 46% | 25% | |
| 52 | LI Nolan | 2% | 13% | 30% | 33% | 18% | 4% | |
| 52 | SCOGGIN Charles | 20% | 39% | 29% | 10% | 2% | - | |
| 54 | TAN Wyatt | 12% | 35% | 35% | 15% | 3% | - | |
| 55 | YU MAXIMILIAN | 4% | 18% | 32% | 29% | 14% | 3% | - |
| 56 | GREGORY Milo | 22% | 39% | 28% | 9% | 2% | - | - |
| 57 | GOOD Adam | 29% | 41% | 23% | 6% | 1% | - | - |
| 58 | ZHANG Jacob | 8% | 27% | 35% | 22% | 7% | 1% | - |
| 59 | SCHELTZ Owen | 1% | 9% | 26% | 35% | 22% | 6% | 1% |
| 60 | MILLER Brodrick | 2% | 14% | 31% | 32% | 17% | 4% | - |
| 61 | YADAV Aarav | 2% | 12% | 29% | 34% | 19% | 4% | |
| 62 | TANG Jake | 5% | 20% | 32% | 27% | 13% | 3% | - |
| 63 | SON Joshua | 4% | 19% | 35% | 29% | 11% | 2% | - |
| 64 | LOGINOV Iurii | 4% | 19% | 37% | 30% | 9% | 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.