Atlantic City Convention Center - Hall D - Atlantic City, 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 | ZOBEL Eric H. | - | - | - | 2% | 16% | 52% | 31% |
| 2 | KATAYAMA Kevin | - | - | - | - | - | 10% | 89% |
| 3 | DESANDO Michael R. | - | - | - | 3% | 27% | 71% | |
| 3 | AKYAMAC Bora | - | - | 1% | 7% | 26% | 42% | 23% |
| 5 | JOSEPH Willem | - | - | - | 6% | 27% | 44% | 22% |
| 6 | LUM-DEBONO Alex | - | - | 5% | 21% | 38% | 29% | 6% |
| 7 | HENDAWY Ahmed | - | - | - | 4% | 21% | 44% | 31% |
| 8 | SMITH Grant D. | - | 1% | 7% | 23% | 38% | 25% | 6% |
| 9 | BELCHAMBER Mason | - | 3% | 17% | 38% | 33% | 8% | 1% |
| 10 | TARCHICHI Robby | - | 2% | 13% | 31% | 35% | 16% | 2% |
| 11 | DAUM Charlie | - | 1% | 7% | 31% | 50% | 11% | |
| 12 | SENANI Arjun | - | 5% | 21% | 34% | 27% | 10% | 1% |
| 13 | GORLOVITZKI Amitai | - | 9% | 30% | 36% | 20% | 5% | - |
| 14 | TAY Daniel Yee Jye | - | - | - | 3% | 15% | 41% | 42% |
| 15 | XING David | 11% | 33% | 35% | 17% | 4% | - | - |
| 16 | POLEBOYINA Amrit | 2% | 27% | 40% | 24% | 6% | 1% | - |
| 17 | DEEB Adam | - | - | 4% | 22% | 42% | 27% | 5% |
| 18 | SIEGEL Elliot | - | - | - | - | 6% | 37% | 57% |
| 19 | WADLEY Brendan E. | - | 2% | 9% | 24% | 34% | 25% | 7% |
| 20 | GATES Combustion | 3% | 18% | 35% | 31% | 12% | 2% | - |
| 21 | WU Dawei | - | 3% | 22% | 43% | 26% | 6% | - |
| 22 | HAN Alexander | - | 4% | 17% | 34% | 32% | 12% | - |
| 23 | SMITH Liam C. | - | - | - | 1% | 11% | 45% | 43% |
| 24 | NIECHWADOWICZ Michael | 4% | 27% | 47% | 20% | 3% | - | - |
| 25 | METZ Mason | - | 2% | 15% | 43% | 34% | 7% | - |
| 26 | CENCE Myles K. | - | 3% | 13% | 29% | 33% | 18% | 4% |
| 27 | SANTIAGO Elias | 1% | 13% | 35% | 35% | 13% | 2% | - |
| 27 | THOMAS Liam | 1% | 10% | 33% | 38% | 16% | 2% | - |
| 29 | PLUMMER Waylon | - | 3% | 15% | 32% | 33% | 15% | 2% |
| 30 | PETERSON Lucas | - | 2% | 10% | 26% | 35% | 22% | 5% |
| 32 | YANG Andy H. | - | - | < 1% | 3% | 21% | 46% | 29% |
| 33 | GÉLINAS Jonathan | - | 1% | 7% | 21% | 34% | 28% | 9% |
| 34 | KOLBINGER Moritz | 1% | 5% | 20% | 35% | 29% | 9% | - |
| 35 | ZOU Aaron | - | - | 2% | 13% | 33% | 37% | 14% |
| 36 | SEIB-LEVINSON Conrad | 1% | 10% | 34% | 41% | 13% | 1% | |
| 37 | COZINE Owen N. | - | - | - | 4% | 24% | 52% | 19% |
| 38 | LAO Kevin | 2% | 11% | 27% | 33% | 20% | 6% | 1% |
| 39 | BURAGOHAIN Aiden | 8% | 28% | 35% | 22% | 6% | 1% | - |
| 40 | GRUNENWALD Henri | - | 6% | 25% | 37% | 24% | 7% | 1% |
| 41 | KAYE Ben | 3% | 22% | 37% | 26% | 9% | 2% | - |
| 42 | AGARWAL Savya | - | 13% | 43% | 33% | 9% | 1% | - |
| 43 | BAKSHI Aman | - | 5% | 19% | 33% | 29% | 13% | 2% |
| 44 | MA Leon | 1% | 6% | 21% | 35% | 29% | 9% | - |
| 45 | SANTHOSH Rithwik | 35% | 47% | 16% | 2% | - | - | - |
| 46 | PEREZ Logan | 9% | 28% | 35% | 21% | 6% | 1% | - |
| 47 | ZHANG Julian | 14% | 41% | 34% | 10% | 1% | - | |
| 48 | POPESCU Tudor | - | 1% | 9% | 37% | 42% | 11% | 1% |
| 49 | AMEND Jake | 20% | 39% | 29% | 10% | 2% | - | - |
| 50 | TAM Kyle | 7% | 32% | 41% | 17% | 2% | - | |
| 51 | ZAPPALA Nikolai | 4% | 20% | 36% | 28% | 10% | 2% | - |
| 52 | BENTLEY Nick | 4% | 20% | 35% | 29% | 11% | 2% | - |
| 53 | ROJAS Elijah | 33% | 44% | 19% | 3% | - | - | |
| 54 | LIU Anthony | 7% | 53% | 33% | 7% | - | - | - |
| 55 | MANLAPAZ Jan Vincent | 81% | 18% | 1% | - | - | - | - |
| 56 | GALLER Dave | 9% | 29% | 36% | 20% | 5% | 1% | - |
| 57 | REN Ryan | 48% | 40% | 11% | 1% | - | - | - |
| 58 | MCENTEE Owen | 17% | 38% | 31% | 12% | 2% | - | - |
| 59 | SCHOFIELD Benjamin J. | 7% | 26% | 35% | 23% | 7% | 1% | - |
| 59 | ZHANG Ethan | 10% | 39% | 36% | 13% | 2% | - | - |
| 61 | HOE Kenneth Y. | 28% | 48% | 20% | 3% | - | - | - |
| 62 | GRAY Toby R. | 42% | 40% | 14% | 3% | - | - | - |
| 63 | ADLER Eli | 83% | 16% | 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.