Boston, MA - 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 | ||
| 1 | EMMER Chase T. | - | - | - | - | 7% | 93% |
| 2 | ZHANG Daniel D. | - | - | 1% | 7% | 33% | 60% |
| 3 | UM Ethan A. | - | - | - | 6% | 35% | 59% |
| 3 | LI Richard | - | - | 1% | 9% | 43% | 48% |
| 5 | LIU Niles J. | - | - | - | 3% | 28% | 69% |
| 6 | KAO Castor T. | - | - | 1% | 9% | 41% | 49% |
| 7 | LI Owen | - | 2% | 14% | 39% | 39% | 6% |
| 8 | JIANG Owen | 1% | 10% | 34% | 39% | 14% | 1% |
| 9 | HO Ryan J. | - | - | 3% | 20% | 52% | 26% |
| 10 | AUGUSTINE Ethan A. | - | - | 5% | 41% | 54% | |
| 11 | MAGIDSON Gabriel | - | - | 7% | 34% | 45% | 13% |
| 12 | LIANG Lixi (Henry) | - | - | 1% | 12% | 41% | 45% |
| 13 | SULLIVAN Jackson R. | - | - | 1% | 10% | 40% | 49% |
| 14 | BING Charles | - | 2% | 14% | 42% | 41% | 2% |
| 15 | GONG Benjamin | 1% | 22% | 48% | 27% | 2% | |
| 16 | LIU Patrick | - | - | 2% | 22% | 75% | |
| 17 | LIN Richard W. | - | - | 2% | 14% | 45% | 39% |
| 18 | AHN Jun | - | 1% | 14% | 46% | 34% | 4% |
| 19 | WU Alexander | - | - | 3% | 21% | 50% | 25% |
| 20 | BAE Kevin | - | 1% | 11% | 34% | 42% | 12% |
| 21 | HOWARD Michael | 1% | 16% | 41% | 34% | 9% | - |
| 22 | MCLEAN Miles K. | 3% | 22% | 42% | 27% | 5% | - |
| 23 | DEGREMONT Henri S. | - | 1% | 11% | 42% | 40% | 6% |
| 24 | COSTELLO Chaissen F. | - | 14% | 44% | 38% | 4% | |
| 25 | SCHENCK Koen M. | - | 1% | 11% | 56% | 32% | |
| 26 | HAMILTON Bogdan A. | - | - | - | 3% | 26% | 71% |
| 27 | SEZER Kaya | - | 1% | 8% | 32% | 47% | 13% |
| 28 | SHA Yi Peng | - | 1% | 11% | 34% | 41% | 13% |
| 29 | WANG Mason | 3% | 21% | 40% | 29% | 7% | - |
| 30 | LI Eric | - | 1% | 17% | 45% | 31% | 6% |
| 31 | SHIN Joshua J. | - | 6% | 28% | 46% | 20% | - |
| 32 | FOGELSON Frederick J. | - | 1% | 11% | 36% | 43% | 8% |
| 33 | BOOTSMA Shane-Anson | 1% | 9% | 42% | 38% | 10% | 1% |
| 34 | BARTEL Jacob L. | 1% | 12% | 40% | 37% | 10% | 1% |
| 35 | PO Oliver | 1% | 12% | 49% | 31% | 7% | - |
| 36 | ACHILOV Sayid | - | 8% | 33% | 42% | 15% | 1% |
| 37 | LIGH Thomas | 8% | 37% | 40% | 14% | 2% | - |
| 38 | TSAI Max W. | 3% | 51% | 41% | 5% | - | |
| 39 | GU Andrew | 1% | 15% | 42% | 33% | 8% | - |
| 40 | TAHOUN Mostafa | 2% | 17% | 40% | 33% | 8% | - |
| 41 | SYOMICHEV Gleb A. | 8% | 36% | 39% | 15% | 2% | - |
| 42 | PAN Eric | 1% | 21% | 43% | 29% | 6% | - |
| 43 | LEE Jacob J | - | 5% | 24% | 45% | 23% | 2% |
| 44 | KLOSTERMANN Max | 6% | 26% | 37% | 23% | 7% | 1% |
| 45 | THADHANI Elio | 1% | 15% | 39% | 34% | 10% | 1% |
| 46 | JIN Dennis H. | 13% | 51% | 30% | 5% | - | - |
| 47 | MILLER Aidan A. | 6% | 30% | 43% | 19% | 3% | - |
| 48 | SIMA Congyu Josh | 1% | 34% | 54% | 10% | - | |
| 49 | DOCTOR Aidan L. | 3% | 39% | 43% | 14% | 1% | |
| 50 | MENG Zhaoyi | 4% | 26% | 49% | 19% | 2% | - |
| 51 | ZHAO Jesse | 5% | 39% | 41% | 14% | 1% | - |
| 52 | ALIMI Yacine A. | 2% | 19% | 41% | 31% | 6% | - |
| 53 | KITAGAWA Eric S. | 14% | 38% | 35% | 12% | 2% | - |
| 53 | VALENTON Timothy | 15% | 43% | 33% | 8% | 1% | - |
| 55 | ZHEN Ethan | 1% | 20% | 43% | 29% | 6% | - |
| 56 | WOODTHORPE Michael G. | 10% | 46% | 34% | 9% | 1% | - |
| 57 | KONG Luculentus X. | 52% | 41% | 6% | - | - | - |
| 58 | ZHUANG Chuanxuan | 65% | 30% | 4% | - | - | - |
| 59 | RNO Kyler | 42% | 46% | 11% | 1% | - | - |
| 60 | BERGERON Justin | 92% | 8% | - | - | - | |
| 61 | XU Ethan | 38% | 44% | 16% | 2% | - | - |
| 62 | GARDOS Noah | 75% | 23% | 2% | - | - | - |
| 63 | WU Michael | 29% | 56% | 14% | 1% | - | - |
| 64 | LICCIARDI Davin | 58% | 35% | 6% | - | - | - |
| 65 | BILODEAU Leo | 19% | 43% | 29% | 8% | 1% | - |
| 66 | GLEBA Nico | 84% | 15% | 1% | - | - | |
| 67 | DALOMBA Kingston | 27% | 44% | 23% | 5% | - | - |
| 68 | BOUSSY Luciano | 47% | 40% | 12% | 1% | - | - |
| 68 | DENG Kenny | 44% | 42% | 13% | 1% | - | - |
| 70 | CANEDO James | 88% | 12% | 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.