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. | - | - | - | 4% | 22% | 44% | 29% |
| 2 | KIM Nicholas W. | - | - | 1% | 9% | 31% | 43% | 15% |
| 3 | YU Vinni | - | - | 2% | 10% | 29% | 39% | 21% |
| 3 | LEE Caden | - | 1% | 7% | 21% | 35% | 27% | 8% |
| 5 | WONG Adam L. | - | 1% | 6% | 21% | 37% | 29% | 7% |
| 6 | CHOI Jiwoo J. | - | 3% | 14% | 29% | 32% | 18% | 4% |
| 7 | ZUSIN Zachary W. | - | 4% | 21% | 39% | 28% | 7% | |
| 8 | WAN Jason | - | 3% | 14% | 31% | 33% | 16% | 3% |
| 9 | SACCOCCIO Nicholas P. | - | 1% | 5% | 21% | 37% | 28% | 7% |
| 10 | TORO Alejandro | - | 2% | 12% | 34% | 35% | 15% | 2% |
| 11 | MCCLAIN Bryce C. | - | - | - | 2% | 11% | 38% | 50% |
| 12 | LOCKWOOD Owen | - | - | 1% | 7% | 27% | 42% | 23% |
| 13 | TSAI Philip W. | 1% | 12% | 31% | 36% | 18% | 3% | |
| 14 | BOBROW Logan | 1% | 6% | 21% | 34% | 27% | 10% | 1% |
| 15 | KASI Sanjay | - | - | 4% | 19% | 43% | 34% | |
| 16 | LEE Daniel C. | - | - | 2% | 12% | 34% | 38% | 13% |
| 17 | ZHANG Henry C. | - | - | 2% | 13% | 35% | 38% | 12% |
| 18 | MA Alexander | - | 1% | 7% | 25% | 37% | 24% | 5% |
| 19 | HOOSHI Dylan M. | - | - | 5% | 22% | 43% | 29% | |
| 20 | LIANG Lixi (Henry) | - | 1% | 9% | 28% | 41% | 21% | |
| 21 | AUGUSTINE Ethan A. | - | 3% | 16% | 35% | 34% | 11% | |
| 22 | CHENG Jonathan | - | - | 5% | 23% | 44% | 29% | |
| 23 | CHENG Thomas C. | - | 2% | 13% | 30% | 34% | 18% | 3% |
| 23 | WU Nicholas | - | 3% | 16% | 34% | 32% | 12% | 2% |
| 25 | PELOSKY Zack B. | - | 2% | 11% | 28% | 35% | 20% | 4% |
| 26 | JOSEPH Dominic (Dom) | - | 2% | 13% | 32% | 34% | 16% | 2% |
| 27 | DOCTOR Aidan L. | - | 4% | 18% | 33% | 31% | 12% | 1% |
| 28 | JEON Caleb A. | 1% | 9% | 28% | 36% | 20% | 5% | - |
| 29 | LIAO Alex J. | - | 2% | 15% | 39% | 33% | 11% | 1% |
| 30 | FU Samuel Y. | 2% | 14% | 33% | 33% | 15% | 2% | |
| 31 | SHIKHMAN Robert | 3% | 22% | 40% | 27% | 8% | 1% | |
| 32 | BAS Liam | - | 3% | 17% | 36% | 33% | 11% | |
| 33 | DESERANNO Jeidus | - | - | - | 4% | 18% | 42% | 36% |
| 34 | BREIER Matthew F. | 2% | 16% | 37% | 32% | 12% | 1% | |
| 34 | ZHANG Andy W. | - | 3% | 17% | 37% | 33% | 10% | |
| 36 | PRILUTSKY David B. | - | - | 1% | 8% | 27% | 42% | 22% |
| 37 | SCHENCK Koen M. | - | - | 3% | 16% | 35% | 34% | 12% |
| 38 | ONIK Elijah T. | 2% | 11% | 28% | 34% | 20% | 5% | 1% |
| 40 | FINN Mark T. | - | 2% | 10% | 27% | 35% | 22% | 5% |
| 41 | PAE Jonathan L. | - | 2% | 11% | 28% | 35% | 20% | 4% |
| 42 | JANG Jaewon | - | 1% | 8% | 28% | 42% | 21% | |
| 43 | BING Charles | 3% | 22% | 39% | 27% | 8% | 1% | |
| 44 | HU Robin | - | - | 1% | 5% | 23% | 42% | 29% |
| 45 | KIM Yonjae | - | - | 1% | 8% | 29% | 44% | 19% |
| 46 | VASILIEV Sacha M. | - | 2% | 9% | 23% | 33% | 25% | 8% |
| 47 | DEGREMONT Henri S. | - | 2% | 14% | 32% | 33% | 16% | 3% |
| 48 | FUKUDA Alessio R. | 18% | 39% | 30% | 11% | 2% | - | - |
| 49 | ALLAMPALLAM Maanav V. | - | 7% | 27% | 39% | 22% | 5% | - |
| 50 | GALLUCCI Charles John | - | 2% | 10% | 26% | 36% | 23% | 4% |
| 51 | PARK Ryan | - | 4% | 19% | 34% | 29% | 12% | 2% |
| 52 | FUKUDA Renzo K. | 7% | 27% | 37% | 22% | 6% | 1% | - |
| 53 | GEE Brandon | 1% | 8% | 27% | 37% | 22% | 5% | |
| 53 | TIAN Aaron C. | 2% | 15% | 38% | 33% | 11% | 1% | |
| 55 | CHAN Tyler | - | 5% | 22% | 38% | 28% | 7% | |
| 56 | MACRAE Harrison A. | 2% | 14% | 32% | 33% | 15% | 3% | - |
| 57 | ORTIZ Zachary M. | - | 1% | 6% | 20% | 36% | 30% | 8% |
| 58 | LIU Kevin B. | - | 2% | 12% | 30% | 34% | 18% | 3% |
| 59 | OURSLER Jack | - | - | - | 3% | 16% | 42% | 39% |
| 60 | MARX Oscar L. | - | - | 2% | 11% | 30% | 39% | 19% |
| 61 | ZELTSER Lawrence M. | 17% | 41% | 30% | 10% | 1% | - | - |
| 62 | REZNICK Nicholas J. | - | 5% | 21% | 35% | 27% | 10% | 1% |
| 63 | SINGH Dayaal | - | 4% | 17% | 36% | 33% | 11% | |
| 64 | FU Yifan | 4% | 28% | 43% | 22% | 3% | - | - |
| 65 | LI Yulei | 2% | 15% | 36% | 33% | 12% | 1% | |
| 66 | YEROKHIN Michael N. | - | 2% | 16% | 37% | 34% | 10% | |
| 68 | NAGER Noah | - | 1% | 9% | 27% | 38% | 21% | 4% |
| 70 | PYO Michael M. | 5% | 23% | 37% | 26% | 8% | 1% | - |
| 71 | KEE Andrew L. | 3% | 18% | 34% | 29% | 12% | 2% | - |
| 72 | SHA Yi Peng | 1% | 11% | 30% | 35% | 19% | 4% | - |
| 73 | HUTTENBACH Koren A. | - | 3% | 17% | 35% | 31% | 12% | 2% |
| 74 | ALIMI Yacine A. | 31% | 42% | 21% | 5% | 1% | - | - |
| 75 | COSTELLO Chaissen F. | 5% | 32% | 40% | 19% | 4% | - | |
| 76 | HOOSHI Jayden C. | 2% | 18% | 38% | 30% | 10% | 1% | |
| 77 | BAE Kevin | - | 7% | 29% | 38% | 21% | 5% | - |
| 78 | DU Samuel R. | - | 4% | 20% | 38% | 28% | 8% | 1% |
| 79 | KAO Castor T. | - | - | 1% | 10% | 30% | 40% | 19% |
| 80 | TSAI Max W. | 5% | 28% | 39% | 22% | 6% | 1% | - |
| 81 | BOOTSMA Shane-Anson | 11% | 34% | 36% | 16% | 3% | - | - |
| 82 | YULDASHEV Timur | 4% | 26% | 41% | 23% | 5% | 1% | - |
| 83 | ALONSOZANA Luke | 7% | 27% | 37% | 22% | 6% | 1% | - |
| 84 | SPOSATO Luke B. | 60% | 33% | 7% | 1% | - | - | |
| 85 | KOLKER Gregory A. | 22% | 40% | 27% | 9% | 1% | - | |
| 86 | MUNDAHL Brandon D. | 20% | 42% | 29% | 8% | 1% | - | |
| 87 | HAN Lawrence | 4% | 26% | 40% | 24% | 6% | - | |
| 88 | MAHNKEN Thomas P. | 43% | 40% | 14% | 2% | - | - | |
| 89 | LIN Dennis | 33% | 44% | 19% | 4% | - | - | - |
| 90 | BANERJEE Anup | - | 3% | 15% | 31% | 32% | 15% | 3% |
| 91 | LE Vyn A. | - | 4% | 18% | 35% | 31% | 11% | 1% |
| 92 | DAI Jonathan T. | - | 4% | 16% | 34% | 32% | 12% | 2% |
| 93 | PAE Brian L. | 1% | 8% | 29% | 40% | 18% | 3% | - |
| 94 | KWON Ethan | 1% | 7% | 25% | 36% | 23% | 7% | 1% |
| 95 | GOGUEN-COMPAGNONI Nicholas | 3% | 19% | 38% | 29% | 9% | 1% | - |
| 96 | ARANA Massimo | 24% | 42% | 26% | 7% | 1% | - | - |
| 97 | PAN Eric | 4% | 20% | 34% | 27% | 11% | 2% | - |
| 98 | ANTONIO Marcky C. | 24% | 41% | 26% | 8% | 1% | - | - |
| 99 | KIZHNER Fillip | 17% | 38% | 32% | 11% | 2% | - | - |
| 99 | MUNDAHL Morgan K. | 18% | 43% | 30% | 9% | 1% | - | - |
| 101 | MAISONNEUVE Alexis | 1% | 7% | 23% | 36% | 25% | 7% | 1% |
| 102 | WANG Gerald Y. | 25% | 47% | 23% | 5% | 1% | - | - |
| 103 | QI Steve | 20% | 48% | 26% | 6% | 1% | - | - |
| 104 | JIN Dennis H. | 7% | 25% | 35% | 23% | 8% | 1% | - |
| 105 | ZHONG Guoren | 26% | 42% | 25% | 7% | 1% | - | - |
| 106 | CAI Oliver K. | 7% | 30% | 37% | 20% | 6% | 1% | - |
| 107 | WEI William | 37% | 43% | 17% | 3% | - | - | |
| 108 | SONG Leonardo T. | 47% | 41% | 10% | 1% | - | - | - |
| 108 | WERWA Griffith | 15% | 36% | 32% | 13% | 3% | - | - |
| 110 | TOMRUK Batu | 13% | 50% | 30% | 7% | 1% | - | - |
| 111 | ZHANG Evan | 13% | 41% | 33% | 11% | 2% | - | |
| 111 | ZHAO Jesse | 30% | 49% | 18% | 2% | - | - | |
| 113 | YOST Jacob A. | 58% | 34% | 7% | 1% | - | - | - |
| 114 | MOROZE Daniel | 31% | 42% | 22% | 5% | 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.