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 | WHELAN Thomas (Tony) | - | - | - | - | 2% | 21% | 77% |
| 2 | WANG Justin | - | - | 3% | 19% | 45% | 29% | 5% |
| 3 | JIN Owen | - | - | - | 1% | 7% | 39% | 54% |
| 3 | BEALS Alden | - | 1% | 9% | 25% | 36% | 23% | 6% |
| 5 | KNOX James | - | - | - | 1% | 9% | 39% | 52% |
| 6 | LAI Boden | - | - | 3% | 16% | 39% | 37% | 4% |
| 7 | GOHEL Dayus T. | - | - | - | 2% | 12% | 40% | 46% |
| 8 | WU Jonathan | - | - | - | 5% | 25% | 50% | 19% |
| 9 | WU Joseph | - | - | - | 1% | 10% | 45% | 45% |
| 10 | JIANG Ryan | - | - | 3% | 15% | 35% | 34% | 12% |
| 11 | ZHAO Corey | - | - | - | 2% | 18% | 51% | 28% |
| 12 | BUSH Thomas | - | - | 2% | 12% | 32% | 38% | 16% |
| 13 | LAI Aedin | - | - | 2% | 12% | 33% | 37% | 14% |
| 14 | SANTOS Antonio K. | - | 2% | 12% | 32% | 35% | 17% | 3% |
| 15 | DJONOUMA Toyohm | - | 6% | 26% | 38% | 24% | 5% | - |
| 16 | PAN Anthony | 7% | 30% | 38% | 20% | 5% | - | - |
| 17 | RICHARD Owen | - | - | - | - | 5% | 30% | 65% |
| 18 | SHA Michael | - | 5% | 21% | 36% | 28% | 9% | 1% |
| 19 | ECKERT Kevin M. | - | - | 3% | 15% | 33% | 35% | 14% |
| 20 | ZHANG Shawn | - | 1% | 8% | 24% | 36% | 25% | 6% |
| 20 | TRULL A.J. | - | - | 1% | 8% | 34% | 44% | 13% |
| 22 | MCMILLAN Jackson V. | 2% | 13% | 34% | 34% | 15% | 2% | - |
| 23 | XIE Brandon | 1% | 10% | 28% | 35% | 21% | 5% | - |
| 24 | SANTOS Francisco M. | - | 4% | 21% | 39% | 29% | 6% | - |
| 25 | XIA Dashan | - | - | 3% | 17% | 39% | 34% | 6% |
| 26 | SONG Troy | - | 1% | 8% | 30% | 44% | 16% | 2% |
| 27 | WILSON Ian G. | 2% | 19% | 39% | 30% | 9% | 1% | - |
| 27 | LI Ray | 7% | 44% | 38% | 10% | 1% | - | - |
| 29 | GERSEN Jacob | - | 1% | 7% | 25% | 37% | 25% | 6% |
| 30 | ZOU Xianyang (Max) | - | 2% | 13% | 31% | 33% | 17% | 3% |
| 31 | RITTERSHAUS Bryce | 1% | 13% | 37% | 36% | 12% | 1% | - |
| 32 | MECHREFE Anthony | 60% | 33% | 7% | 1% | - | - | - |
| 33 | SAVORETTI Francesco | - | - | 2% | 13% | 34% | 37% | 14% |
| 34 | SPRINGER Michael | - | - | 3% | 15% | 35% | 35% | 13% |
| 35 | MASSE Jack | 41% | 41% | 15% | 3% | < 1% | - | - |
| 36 | WANG Xiangdong | 1% | 13% | 36% | 33% | 14% | 3% | - |
| 37 | SONG Changze | 1% | 13% | 33% | 35% | 15% | 2% | - |
| 38 | MARINI Davide | - | 12% | 34% | 36% | 15% | 2% | - |
| 39 | MARTONE Matt L. | 2% | 12% | 32% | 34% | 16% | 3% | - |
| 40 | ORESKOVIC Olivier | 5% | 30% | 42% | 20% | 3% | - | - |
| 41 | CHEN Allen | 4% | 24% | 38% | 25% | 8% | 1% | - |
| 42 | LIU Jeremiah W. | 2% | 13% | 32% | 33% | 16% | 4% | - |
| 43 | WANG Zhenhai | 23% | 42% | 26% | 8% | 1% | - | - |
| 44 | WU Chi Kuan | 2% | 22% | 42% | 27% | 6% | - | - |
| 45 | HOWLETT Daniel | - | 13% | 34% | 35% | 15% | 2% | - |
| 46 | SAVORETTI Pietro | - | 10% | 31% | 37% | 19% | 3% | - |
| 47 | WENGER Caleb | 1% | 8% | 29% | 39% | 20% | 3% | - |
| 48 | ROSIELLO Francesco | 47% | 40% | 12% | 2% | - | - | - |
| 49 | MAZZOLI Julio C. | - | - | 3% | 16% | 36% | 36% | 10% |
| 50 | DOWD Peter L. | 1% | 18% | 44% | 30% | 6% | - | - |
| 51 | BRADSHAW Carter | - | 7% | 31% | 42% | 17% | 2% | - |
| 52 | ZHANG Roland | 5% | 24% | 38% | 25% | 7% | 1% | - |
| 53 | YIN Chujun | 4% | 25% | 40% | 25% | 6% | - | - |
| 54 | BRUEGGEMANN Max | 10% | 42% | 35% | 11% | 2% | - | - |
| 55 | SANTOS Felipe | 4% | 21% | 37% | 27% | 9% | 1% | - |
| 56 | MARSHALL William L. | - | 2% | 13% | 33% | 36% | 15% | 1% |
| 57 | PARTE Aidan | 3% | 17% | 35% | 31% | 13% | 2% | - |
| 58 | KOURE Andrew C. | 63% | 31% | 5% | - | - | - | - |
| 58 | GAO "George" Xiaojiang | 19% | 41% | 29% | 9% | 2% | - | - |
| 60 | GU Eric | 89% | 11% | - | - | - | - | - |
| 61 | WHITE Aidan | 40% | 41% | 16% | 3% | - | - | - |
| 62 | MASSE Dean | 72% | 25% | 3% | - | - | - | - |
| 63 | SULKIS Adam | 63% | 32% | 5% | - | - | - | - |
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.