Raleigh Convention Center - Raleigh, NC, 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 | LOISEAU Eliott | - | 2% | 10% | 29% | 39% | 20% | |
| 2 | FANG Hanning | 1% | 8% | 23% | 33% | 24% | 9% | 1% |
| 3 | DEPOMMIER Remi | - | - | 1% | 7% | 24% | 41% | 27% |
| 3 | LAI Boden | - | 4% | 16% | 31% | 31% | 15% | 3% |
| 5 | WALLACE James | 1% | 7% | 24% | 37% | 26% | 6% | |
| 6 | ILYAS Zakariya | 1% | 6% | 19% | 31% | 28% | 13% | 2% |
| 7 | SEBASTIAN Alexander P. | - | 2% | 8% | 23% | 34% | 26% | 8% |
| 8 | DAO Alexander | - | 2% | 11% | 26% | 33% | 22% | 6% |
| 9 | LANGE Eric A. | - | - | - | 2% | 11% | 38% | 49% |
| 10 | LONGSTREET Jeffrey | - | 1% | 4% | 16% | 33% | 33% | 13% |
| 11 | KIM Taeho | 2% | 12% | 27% | 32% | 20% | 7% | 1% |
| 12 | SINGH Ravin | 2% | 14% | 31% | 33% | 17% | 3% | - |
| 13 | WANG Tristan | - | - | 3% | 14% | 32% | 35% | 15% |
| 14 | ZHOU Stanley Q. | - | 1% | 4% | 17% | 34% | 33% | 12% |
| 15 | IFORD Andrew W. | 6% | 25% | 36% | 24% | 7% | 1% | |
| 16 | MEGGERS Davin | 6% | 24% | 35% | 25% | 9% | 1% | |
| 17 | SVERDLOV Seth | - | 3% | 14% | 32% | 35% | 15% | |
| 18 | MIAO KUNQI | - | 2% | 11% | 26% | 33% | 22% | 6% |
| 19 | ALI Farhan | 1% | 9% | 23% | 32% | 24% | 9% | 1% |
| 20 | GIOVAGNOLI Nolan | - | 3% | 14% | 32% | 34% | 15% | 1% |
| 21 | DAN Rex | - | 4% | 18% | 33% | 30% | 12% | 2% |
| 22 | SNYDER Ari | - | 3% | 13% | 29% | 34% | 18% | 3% |
| 23 | ZHOU Alec Q. | - | - | - | 2% | 14% | 40% | 43% |
| 24 | MITEV Alexander | 3% | 16% | 32% | 31% | 15% | 4% | - |
| 25 | SAUNIER Cameron | 2% | 11% | 26% | 33% | 21% | 7% | 1% |
| 26 | HAN Sam | 13% | 34% | 33% | 16% | 4% | - | |
| 27 | ROMANOV Ethan | - | 1% | 6% | 20% | 36% | 30% | 7% |
| 28 | PAN Colin | - | 3% | 13% | 29% | 33% | 18% | 4% |
| 29 | MEN Junda | 2% | 13% | 29% | 32% | 18% | 5% | 1% |
| 30 | STELTENKAMP Neal | 3% | 16% | 31% | 30% | 15% | 4% | - |
| 31 | SAKO Ayrton J. | - | 2% | 11% | 26% | 33% | 22% | 6% |
| 32 | ZELIN Sam J. | 3% | 16% | 32% | 32% | 15% | 3% | |
| 33 | HU Anton | 1% | 6% | 21% | 34% | 27% | 10% | 1% |
| 34 | GLENNON Sebastian J. | - | 2% | 8% | 23% | 34% | 25% | 8% |
| 35 | SLOUGH Sean | - | - | 2% | 11% | 28% | 38% | 20% |
| 36 | TIKHONOV Daniel | - | 2% | 10% | 26% | 35% | 22% | 5% |
| 37 | PAL Ian K. | 7% | 24% | 34% | 24% | 9% | 2% | - |
| 37 | RACHEL Dylan | - | 3% | 12% | 27% | 33% | 20% | 5% |
| 39 | ZHANG Roland | 6% | 24% | 35% | 25% | 8% | 1% | - |
| 40 | SAVORETTI Pietro | - | 5% | 19% | 34% | 29% | 11% | 1% |
| 41 | PRAKASH Hari | 4% | 19% | 34% | 29% | 12% | 2% | - |
| 42 | MILLER Ryan M. | - | - | 1% | 6% | 23% | 41% | 29% |
| 43 | BERNARD Jack B. | - | 2% | 11% | 25% | 33% | 23% | 6% |
| 44 | ZIEGLER John | 2% | 11% | 26% | 32% | 21% | 7% | 1% |
| 44 | ELTERMAN Lev | - | 2% | 10% | 25% | 33% | 22% | 6% |
| 46 | ROCKWELL Nolan | 3% | 17% | 33% | 30% | 14% | 3% | - |
| 47 | LIGOS Alex M. | 1% | 8% | 24% | 35% | 24% | 8% | 1% |
| 48 | CHEN Bowen | 8% | 27% | 34% | 22% | 8% | 1% | - |
| 49 | CHEN Brian | - | 1% | 8% | 23% | 35% | 25% | 7% |
| 50 | ZHANG Andy | 1% | 8% | 24% | 35% | 24% | 7% | 1% |
| 51 | KRISHNAN Skanda | 3% | 15% | 31% | 31% | 16% | 4% | - |
| 52 | MCADOO Declan | - | 1% | 6% | 20% | 35% | 30% | 9% |
| 53 | WONG King-Yee | 4% | 19% | 34% | 29% | 12% | 2% | - |
| 54 | PALAMARCHUK Matthew | 1% | 8% | 24% | 35% | 25% | 8% | 1% |
| 55 | DILLE Brice | - | 1% | 8% | 22% | 33% | 27% | 9% |
| 56 | REPIC Oliver | 3% | 17% | 33% | 30% | 13% | 3% | - |
| 57 | POBIS Chandler R. | - | - | < 1% | 1% | 6% | 31% | 62% |
| 57 | WAI Andreas | 4% | 18% | 33% | 29% | 13% | 3% | - |
| 59 | BUI Henry | 1% | 8% | 23% | 32% | 25% | 10% | 1% |
| 60 | HU Robert J. | 2% | 11% | 28% | 33% | 20% | 6% | 1% |
| 61 | KIRSCH Adam J. | 18% | 39% | 31% | 11% | 2% | - | |
| 62 | CHHU Allen | 8% | 26% | 34% | 22% | 8% | 1% | - |
| 63 | GARCIA-CABRERA Jeffrey | 19% | 38% | 29% | 11% | 2% | - | - |
| 64 | SCHIAVONE Oreste | 2% | 12% | 28% | 33% | 20% | 6% | 1% |
| 65 | SIYANKO Joshua | 1% | 8% | 23% | 32% | 24% | 10% | 1% |
| 66 | MAXWELL Austin | 1% | 9% | 25% | 34% | 23% | 7% | 1% |
| 67 | HOWARD Paolo | 21% | 39% | 28% | 10% | 2% | - | - |
| 68 | MILLSON Daniel | 3% | 14% | 29% | 31% | 17% | 5% | 1% |
| 69 | TATE William Isom | 8% | 25% | 34% | 23% | 9% | 2% | - |
| 69 | KIM Joshua | 13% | 33% | 33% | 16% | 4% | - | - |
| 71 | BANNEN Nicholas | 2% | 12% | 27% | 32% | 20% | 6% | 1% |
| 72 | CHEN Jun Ho | - | 2% | 10% | 27% | 36% | 22% | 4% |
| 73 | RUSSELL Tallis | 6% | 24% | 35% | 24% | 8% | 1% | - |
| 74 | BERNSTEIN Matthew B. | 5% | 21% | 34% | 27% | 11% | 2% | - |
| 75 | RAPALSKI Thomas | 11% | 31% | 33% | 19% | 6% | 1% | - |
| 76 | CHENH Justin | 12% | 34% | 35% | 16% | 3% | - | |
| 77 | MCCONVILLE Brendan M. | 2% | 14% | 31% | 33% | 17% | 3% | |
| 78 | EDGECOMB Michael J. | 2% | 11% | 28% | 35% | 20% | 5% | |
| 79 | CHAKRABORTY Zorian | 6% | 24% | 34% | 25% | 9% | 2% | - |
| 80 | HE Lingyun Matthew | 25% | 41% | 25% | 8% | 1% | - | - |
| 81 | DILLE Jackson K. | 1% | 8% | 24% | 35% | 24% | 8% | 1% |
| 82 | ODEA Ryan | 18% | 37% | 30% | 12% | 2% | - | - |
| 83 | PALLADINO Ben T. | 5% | 20% | 34% | 27% | 11% | 2% | - |
| 84 | MCDANIEL Eamon | 9% | 30% | 35% | 20% | 5% | 1% | - |
| 85 | EMMERT JP | 2% | 12% | 27% | 32% | 20% | 6% | 1% |
| 86 | DAN Chuntao | 14% | 34% | 32% | 15% | 4% | 1% | - |
| 86 | MALONE Jacob | 28% | 40% | 23% | 7% | 1% | - | - |
| 88 | ROSS Connor | 9% | 27% | 33% | 21% | 8% | 1% | - |
| 89 | ZIMINSKY Karel M. | - | 3% | 12% | 27% | 33% | 20% | 5% |
| 90 | ASGARALLY Anthony | < 1% | 4% | 18% | 36% | 32% | 10% | |
| 91 | LU Qi | 3% | 17% | 33% | 30% | 13% | 3% | - |
| 92 | MARSH Alex | 4% | 19% | 32% | 28% | 13% | 3% | - |
| 93 | CHENG Zijun | 1% | 10% | 26% | 34% | 22% | 6% | 1% |
| 94 | JONES Jackson | 24% | 40% | 26% | 8% | 1% | - | - |
| 95 | THOMAS Jr. Robert D. | < 1% | 1% | 7% | 22% | 36% | 27% | 7% |
| 96 | RUSSELL James | 7% | 27% | 36% | 22% | 7% | 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.