Secaucus, NJ - Secaucus, 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 | ZHANG Daniel D. | - | - | - | 3% | 17% | 42% | 38% |
| 2 | CHOI Jiwoo J. | - | - | - | 2% | 15% | 41% | 42% |
| 3 | YU Vinni | - | - | 3% | 13% | 31% | 36% | 16% |
| 3 | AUGUSTINE Ethan A. | - | - | 1% | 9% | 29% | 41% | 20% |
| 5 | KASI Sanjay | - | 2% | 11% | 27% | 35% | 21% | 5% |
| 5 | KIM Nicholas W. | - | - | - | 2% | 12% | 40% | 46% |
| 7 | BAUMSTEIN Nicholas I. | - | - | 1% | 6% | 23% | 41% | 29% |
| 8 | ROBSON Samuel | - | - | - | 2% | 15% | 45% | 38% |
| 9 | JANG Jaewon | - | - | - | 3% | 18% | 43% | 36% |
| 10 | DU Samuel R. | - | 2% | 12% | 31% | 36% | 17% | 2% |
| 11 | WONG Adam L. | - | - | 1% | 7% | 25% | 42% | 26% |
| 12 | ONIK Elijah T. | - | - | - | 4% | 21% | 49% | 26% |
| 13 | SHIKHMAN Robert | - | 2% | 9% | 27% | 36% | 22% | 5% |
| 14 | JOSEPH Dominic (Dom) | - | - | - | 4% | 19% | 42% | 35% |
| 15 | PELOSKY Zack B. | - | 5% | 21% | 37% | 28% | 9% | 1% |
| 16 | ZHANG Henry C. | - | - | 1% | 8% | 26% | 41% | 24% |
| 17 | NAGER Noah | - | - | 1% | 6% | 23% | 43% | 28% |
| 17 | BANERJEE Anup | - | 1% | 8% | 30% | 43% | 17% | 1% |
| 19 | VASILIEV Sacha M. | - | - | 3% | 17% | 36% | 33% | 11% |
| 20 | HOOSHI Dylan M. | - | - | - | 2% | 17% | 45% | 36% |
| 21 | FUKUDA Renzo K. | - | 9% | 32% | 37% | 18% | 4% | < 1% |
| 22 | BOBROW Logan | - | 1% | 6% | 22% | 38% | 27% | 6% |
| 22 | KIM Yonjae | - | - | 2% | 11% | 30% | 39% | 18% |
| 25 | WAN Jason | - | - | 2% | 15% | 38% | 35% | 9% |
| 26 | ZHANG Nicholas Z. | - | - | - | - | 3% | 25% | 71% |
| 27 | ZELTSER Lawrence M. | 1% | 12% | 40% | 37% | 10% | 1% | |
| 28 | ZHANG Yun Isaac | - | 1% | 10% | 28% | 35% | 21% | 5% |
| 29 | YEROKHIN Michael N. | - | - | 4% | 20% | 38% | 30% | 9% |
| 30 | KIM Tei D. | - | - | 3% | 15% | 37% | 36% | 8% |
| 31 | BRUK Peter J. | - | 2% | 11% | 31% | 37% | 18% | 2% |
| 32 | SCHENCK Koen M. | - | 2% | 12% | 29% | 34% | 19% | 4% |
| 33 | WU Nicholas | - | - | 3% | 16% | 38% | 35% | 7% |
| 34 | COSTELLO Chaissen F. | - | - | 4% | 19% | 39% | 30% | 8% |
| 35 | LIANG Lixi (Henry) | - | - | - | 4% | 21% | 45% | 30% |
| 36 | CHENG Jonathan | - | - | - | 1% | 9% | 37% | 53% |
| 37 | ZHANG Andy W. | - | - | 2% | 14% | 45% | 40% | |
| 38 | BREIER Matthew F. | - | - | 3% | 17% | 39% | 32% | 8% |
| 39 | MARX Oscar L. | - | - | - | 3% | 15% | 40% | 43% |
| 40 | JEON Caleb A. | - | - | 3% | 16% | 38% | 35% | 8% |
| 41 | KAO Castor T. | - | - | 2% | 10% | 31% | 39% | 18% |
| 42 | PAN Eric | 1% | 5% | 17% | 31% | 30% | 14% | 3% |
| 43 | PARK Ryan | - | - | 3% | 16% | 39% | 34% | 8% |
| 44 | FOGELSON Frederick J. | 1% | 11% | 33% | 37% | 15% | 2% | - |
| 45 | GRAHAM Roy J. | - | - | - | 1% | 11% | 38% | 50% |
| 46 | SINGH Dayaal | - | - | 2% | 12% | 35% | 39% | 13% |
| 47 | TIAN Aaron C. | 1% | 9% | 24% | 32% | 24% | 9% | 1% |
| 48 | SCHEMBRI MCCORD Kruz T. | - | - | 2% | 12% | 31% | 38% | 17% |
| 49 | VERSTEELE Sander | 1% | 7% | 21% | 32% | 26% | 11% | 2% |
| 50 | LEE Joshua | 2% | 14% | 30% | 32% | 18% | 5% | - |
| 51 | PAE Brian L. | - | 1% | 6% | 25% | 42% | 23% | 3% |
| 52 | PYO Michael M. | 3% | 23% | 38% | 27% | 8% | 1% | - |
| 53 | KULKARNI Ansh A. | 2% | 11% | 28% | 34% | 20% | 5% | 1% |
| 54 | DOCTOR Aidan L. | - | - | 1% | 8% | 28% | 41% | 22% |
| 55 | KEE Andrew L. | 1% | 7% | 24% | 36% | 25% | 7% | 1% |
| 56 | CHAN Tyler | 1% | 12% | 31% | 34% | 17% | 4% | - |
| 57 | FU Samuel Y. | - | 3% | 17% | 37% | 31% | 11% | 1% |
| 58 | DEGREMONT Henri S. | - | - | 4% | 17% | 39% | 35% | 5% |
| 59 | NG Eben S. | - | - | 2% | 13% | 35% | 39% | 11% |
| 60 | BING Charles | 1% | 8% | 24% | 33% | 24% | 9% | 1% |
| 61 | BAS Liam | - | - | 5% | 22% | 38% | 28% | 7% |
| 62 | REZNICK Nicholas J. | 1% | 11% | 31% | 35% | 17% | 3% | - |
| 63 | ALIMI Yacine A. | 2% | 17% | 35% | 31% | 13% | 2% | - |
| 64 | LI Eric | - | 2% | 12% | 29% | 34% | 19% | 4% |
| 65 | LEE Aidan | - | 2% | 10% | 28% | 36% | 20% | 4% |
| 66 | CANO Diego A. | - | - | 2% | 18% | 40% | 32% | 7% |
| 67 | FUKUDA Alessio R. | - | 9% | 29% | 36% | 20% | 5% | - |
| 68 | GALLUCCI Charles John | - | 4% | 27% | 42% | 22% | 5% | - |
| 69 | LI Richard | - | 2% | 11% | 27% | 34% | 21% | 5% |
| 70 | ZHANG Evan | 6% | 24% | 37% | 25% | 7% | 1% | - |
| 71 | BAO Aaron | 1% | 6% | 24% | 37% | 24% | 6% | 1% |
| 72 | TSAI Max W. | - | 5% | 24% | 39% | 25% | 6% | - |
| 73 | JEAN Noe T. | - | - | 4% | 18% | 38% | 32% | 8% |
| 74 | LI Owen | - | - | 3% | 15% | 38% | 36% | 8% |
| 75 | WU Alexander | 1% | 9% | 29% | 37% | 20% | 4% | - |
| 76 | HOOSHI Jayden C. | - | - | 4% | 21% | 42% | 28% | 5% |
| 77 | PO Oliver | 4% | 23% | 36% | 26% | 9% | 2% | - |
| 78 | SONG Leonardo T. | 31% | 46% | 20% | 3% | - | - | - |
| 79 | YANG Luao | - | 1% | 5% | 20% | 35% | 30% | 10% |
| 80 | ZHAI Jeffrey | - | 2% | 13% | 33% | 36% | 15% | 2% |
| 81 | BASOK Nikita | - | 1% | 10% | 28% | 35% | 20% | 4% |
| 82 | ZHAO Jesse | 1% | 10% | 31% | 37% | 18% | 3% | - |
| 83 | RUSADZE Nickolas | - | 2% | 11% | 29% | 36% | 20% | 3% |
| 84 | WEINKOPF William O. | - | - | 4% | 18% | 37% | 32% | 9% |
| 85 | ANTON Nathaniel | 1% | 12% | 34% | 36% | 15% | 3% | - |
| 86 | LEE Maxwel W. | 4% | 18% | 32% | 28% | 13% | 3% | - |
| 87 | MILLER Aidan A. | 3% | 20% | 39% | 29% | 8% | 1% | - |
| 88 | KNOEPFFLER Alex | - | - | 2% | 15% | 37% | 35% | 10% |
| 89 | LIN James G. | - | - | 3% | 16% | 36% | 35% | 11% |
| 90 | BAE Kevin | 1% | 14% | 38% | 34% | 12% | 2% | - |
| 91 | TAKLE Douglas | 2% | 12% | 33% | 36% | 16% | 2% | - |
| 92 | CATINO Brennen | - | 5% | 23% | 40% | 25% | 6% | 1% |
| 92 | BOOTSMA Shane-Anson | 2% | 15% | 35% | 33% | 13% | 2% | - |
| 94 | GONG Benjamin | 9% | 35% | 37% | 15% | 3% | - | - |
| 95 | TAHOUN Mostafa | 3% | 19% | 36% | 29% | 11% | 2% | - |
| 96 | FU Yifan | 5% | 23% | 37% | 26% | 8% | 1% | - |
| 97 | KWON Ethan | 3% | 16% | 33% | 31% | 14% | 3% | - |
| 98 | GEOGHEGAN Ronan | - | 4% | 17% | 33% | 31% | 13% | 2% |
| 99 | PAE Jonathan L. | - | - | 4% | 23% | 49% | 25% | |
| 100 | KITAGAWA Eric S. | 1% | 13% | 37% | 36% | 11% | 1% | |
| 101 | LI Yao (Liam) | 13% | 49% | 31% | 7% | - | - | |
| 102 | SHA Yi Peng | 3% | 17% | 36% | 32% | 11% | 2% | - |
| 103 | ORVANANOS Jorge | 1% | 9% | 27% | 35% | 22% | 6% | - |
| 104 | LI Arvin | - | 3% | 19% | 35% | 29% | 11% | 2% |
| 105 | KLEIN Sebastian W. | - | 8% | 29% | 37% | 20% | 5% | - |
| 105 | CHEN Charlie Tian-You | - | 1% | 5% | 18% | 33% | 32% | 12% |
| 107 | MENG Zhaoyi | 2% | 12% | 33% | 36% | 15% | 2% | - |
| 108 | HAN Lawrence | 6% | 27% | 39% | 22% | 5% | 1% | - |
| 110 | MARX Jackson L. | - | 2% | 11% | 30% | 36% | 18% | 3% |
| 111 | GU Andrew | 1% | 11% | 34% | 36% | 15% | 3% | - |
| 111 | TRUBETSKI David | 13% | 40% | 35% | 11% | 1% | - | - |
| 113 | GUO Sean | 1% | 6% | 20% | 33% | 28% | 11% | 1% |
| 114 | WANG Gerald Y. | 6% | 26% | 37% | 23% | 6% | 1% | - |
| 115 | DOUGLAS Oscar M. | 8% | 27% | 34% | 21% | 7% | 1% | - |
| 116 | QI Steve | 5% | 57% | 31% | 5% | - | - | - |
| 117 | LE Jacob W. | 1% | 11% | 31% | 36% | 18% | 3% | - |
| 118 | BAO Wenyuan | 16% | 41% | 32% | 10% | 1% | - | - |
| 119 | TORRES Treston | 25% | 48% | 23% | 4% | - | - | - |
| 120 | ANDERSON Elijah | 5% | 21% | 33% | 27% | 12% | 3% | - |
| 121 | WANG Alex L. | 18% | 41% | 30% | 9% | 1% | - | - |
| 122 | GORBACHEV Alexander | 1% | 7% | 22% | 34% | 26% | 9% | 1% |
| 123 | JIANG Owen | - | 1% | 6% | 23% | 37% | 27% | 7% |
| 124 | KUO Oliver K. | 4% | 17% | 31% | 30% | 15% | 4% | - |
| 124 | JIN Dennis H. | 13% | 35% | 34% | 14% | 3% | - | - |
| 124 | GOOR Julian | 7% | 25% | 35% | 24% | 8% | 1% | - |
| 127 | PITERBARG Maxim | 14% | 34% | 32% | 16% | 4% | - | - |
| 128 | ZHOU Leon | 8% | 31% | 40% | 18% | 3% | - | - |
| 129 | TSIMIKLIS Yanni | 1% | 6% | 20% | 32% | 27% | 11% | 2% |
| 130 | SHADPOOR Ryan | 22% | 41% | 27% | 8% | 1% | - | - |
| 131 | HONG Issac | 4% | 31% | 41% | 20% | 4% | - | - |
| 132 | BROWN Alexander R. | 5% | 25% | 36% | 24% | 8% | 1% | - |
| 132 | GARR James D. | 8% | 30% | 37% | 20% | 5% | 1% | - |
| 134 | AHN Jun | 2% | 13% | 29% | 32% | 18% | 5% | - |
| 135 | WANG Jackson | 13% | 34% | 34% | 16% | 3% | - | - |
| 136 | ZHONG Guoren | 10% | 33% | 37% | 17% | 3% | - | - |
| 137 | WECHSLER Jacob | 18% | 40% | 31% | 10% | 1% | - | - |
| 138 | ALONSOZANA Andrew G. | 34% | 44% | 18% | 3% | - | - | - |
| 139 | BOYLAN Kevin | 1% | 7% | 24% | 37% | 25% | 6% | - |
| 140 | CHIN Ryan | 22% | 42% | 27% | 7% | 1% | - | - |
| 141 | LEWIS Akhil | 1% | 11% | 33% | 35% | 16% | 3% | - |
| 142 | ACHILOV Sayid | - | 6% | 29% | 39% | 21% | 4% | - |
| 143 | OUYANG Matt J. | 8% | 27% | 37% | 22% | 6% | - | - |
| 144 | SONG Austin | 19% | 39% | 30% | 10% | 2% | - | - |
| 145 | AUGUSTINE Aaron A. | 23% | 41% | 27% | 8% | 1% | - | - |
| 146 | KANDADAI Arjun | 14% | 37% | 34% | 13% | 2% | - | - |
| 146 | ZHANG Hanmo | 7% | 24% | 35% | 24% | 8% | 1% | - |
| 148 | LONGENBACH Pharell J. | 7% | 28% | 37% | 22% | 6% | 1% | - |
| 148 | DE JAGER Robert | 87% | 12% | - | - | - | - | - |
| 150 | ZHAO Luhan | 16% | 38% | 33% | 12% | 2% | - | - |
| 151 | ZHOU Andrew C. | 8% | 29% | 36% | 20% | 5% | 1% | - |
| 152 | BADLANI Dev | 22% | 47% | 26% | 5% | - | - | - |
| 154 | DECORLETO III Andrew (Tripp) J. | 26% | 44% | 24% | 6% | 1% | - | - |
| 155 | LI Jinghua E. | 17% | 41% | 32% | 9% | 1% | - | - |
| 156 | LI Ayren | 22% | 41% | 27% | 8% | 1% | - | - |
| 157 | LIGOS Alex M. | 50% | 38% | 10% | 1% | - | - | |
| 158 | YAN Edward Tianshuo | 39% | 42% | 17% | 3% | - | - | - |
| 158 | VISHNEVSKY Aden | 13% | 38% | 36% | 12% | 1% | - | - |
| 158 | VALENTON Timothy | 9% | 38% | 37% | 13% | 2% | - | - |
| 161 | STROKIN Daniel | 28% | 43% | 23% | 6% | 1% | - | - |
| 163 | LI Lianhao | 17% | 40% | 31% | 10% | 1% | - | - |
| 163 | WALLIER William | 12% | 35% | 35% | 14% | 2% | - | - |
| 163 | SONG Yanchen | 14% | 38% | 34% | 12% | 2% | - | - |
| 166 | WANG Mason | 66% | 29% | 5% | - | - | - | - |
| 167 | BOYLE Aiden P. | 73% | 24% | 3% | - | - | - | - |
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.