Meadowlands Expo Center - 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 | LI Richard | - | - | - | - | - | 11% | 88% |
| 2 | LEE Jacob J | - | - | - | 3% | 17% | 41% | 37% |
| 3 | HOOSHI Jayden C. | - | - | - | - | 2% | 21% | 76% |
| 3 | MARTIN IV Elmer D. | - | - | - | 3% | 16% | 41% | 39% |
| 5 | LI Eric | - | - | - | - | 4% | 36% | 60% |
| 6 | LIN James G. | - | - | - | 3% | 18% | 43% | 35% |
| 7 | JIANG Owen | - | - | 1% | 6% | 23% | 42% | 29% |
| 8 | QIAN Jason H. | - | - | 6% | 27% | 45% | 22% | |
| 9 | DAI Jonathan T. | - | - | - | - | 3% | 26% | 71% |
| 10 | GONG Benjamin | - | - | - | 2% | 15% | 47% | 35% |
| 11 | WU Alexander | - | - | - | - | 3% | 23% | 74% |
| 12 | SIMA Congyu Josh | - | - | 4% | 24% | 45% | 26% | |
| 13 | COELHO Cristiano P. | - | - | - | 2% | 17% | 52% | 30% |
| 14 | RUSADZE Nickolas | - | - | - | - | 1% | 17% | 81% |
| 15 | KRYLTSOV Michael | - | - | 2% | 9% | 28% | 40% | 21% |
| 16 | MAO Lucas | 1% | 9% | 26% | 34% | 23% | 7% | 1% |
| 17 | TRAUGOT Owen G. | - | - | - | 4% | 21% | 44% | 30% |
| 18 | AUGUSTINE Aaron A. | - | - | 3% | 16% | 35% | 34% | 12% |
| 19 | CO Dylan | - | - | 4% | 24% | 43% | 25% | 3% |
| 20 | LIU Ethan | - | - | 1% | 8% | 28% | 43% | 20% |
| 21 | CULLIVAN Justice | - | - | - | 1% | 10% | 45% | 45% |
| 21 | TIYA BIAYA K. | - | - | - | 3% | 15% | 40% | 42% |
| 23 | GUO Justin | - | 2% | 10% | 28% | 36% | 21% | 4% |
| 24 | HUANG Eythan | - | 2% | 13% | 34% | 35% | 15% | 2% |
| 25 | YAO Bradley | - | - | 5% | 20% | 38% | 30% | 7% |
| 26 | FUKUDA Diego | - | - | 3% | 16% | 35% | 34% | 11% |
| 27 | ZHAI Jeffrey | - | - | - | 3% | 18% | 48% | 31% |
| 28 | LIU Derek | - | - | 5% | 27% | 43% | 23% | 2% |
| 29 | KOVACS Wyatt | - | 1% | 6% | 25% | 39% | 25% | 4% |
| 30 | LEE Jonah | - | 1% | 9% | 34% | 42% | 12% | 1% |
| 31 | ELWOOD Sebastian F. | - | - | < 1% | 2% | 12% | 40% | 46% |
| 32 | TSAO Lukas | 1% | 7% | 23% | 36% | 26% | 8% | - |
| 33 | LIN Michael | - | - | 1% | 7% | 25% | 42% | 25% |
| 34 | WANG Mason | - | 1% | 4% | 17% | 36% | 33% | 9% |
| 35 | LEWIS Akhil | - | 1% | 5% | 20% | 36% | 30% | 8% |
| 36 | PAN Henry | - | 6% | 22% | 37% | 27% | 7% | - |
| 37 | KLOTZ Isaiah | - | - | 5% | 25% | 43% | 25% | 2% |
| 38 | ORLOV Dmitriy | 1% | 6% | 21% | 35% | 28% | 9% | 1% |
| 39 | WANG Winston | - | 1% | 8% | 29% | 42% | 20% | 1% |
| 40 | TANG Alexander L. | - | 3% | 19% | 39% | 31% | 7% | 1% |
| 41 | SEMAPAKDI-CHANG Kaiden | 1% | 6% | 20% | 34% | 28% | 10% | 1% |
| 42 | GARCIA Sebastian R. | - | - | - | 2% | 15% | 58% | 25% |
| 43 | SUAREZ Adrian | - | 1% | 10% | 30% | 38% | 19% | 3% |
| 44 | JIA Jing Yu | 5% | 27% | 39% | 23% | 5% | - | - |
| 45 | TANG Albert | - | 5% | 21% | 37% | 28% | 8% | - |
| 45 | LING Eddie | 1% | 7% | 23% | 35% | 26% | 8% | - |
| 45 | SHAO Eric | - | 2% | 12% | 32% | 36% | 15% | 2% |
| 48 | WONG Jackson | - | 3% | 15% | 32% | 32% | 15% | 2% |
| 49 | MATSAKH Philip | - | 3% | 14% | 31% | 34% | 16% | 2% |
| 50 | XU Andy P. | - | - | 5% | 22% | 39% | 28% | 6% |
| 51 | LEE Brendan | - | 4% | 22% | 40% | 28% | 6% | - |
| 52 | ZHEN Ethan | - | - | 3% | 13% | 32% | 37% | 15% |
| 53 | LI Allen | 6% | 23% | 36% | 25% | 9% | 1% | - |
| 54 | SONG Austin | - | 2% | 10% | 27% | 36% | 20% | 4% |
| 55 | MILLER Jordan | 1% | 9% | 38% | 37% | 13% | 2% | |
| 56 | PO Oliver | - | - | 1% | 6% | 24% | 42% | 27% |
| 57 | LI Aaron | - | 1% | 6% | 23% | 40% | 27% | 3% |
| 58 | WANG Julang | 7% | 26% | 36% | 23% | 7% | 1% | - |
| 59 | RAJ Jay | - | 5% | 30% | 43% | 19% | 2% | - |
| 60 | TIKHAEV Alexander | 4% | 20% | 35% | 29% | 11% | 2% | - |
| 61 | TANG August L. | - | 1% | 8% | 33% | 40% | 17% | 1% |
| 62 | ZHENG zhe | - | - | 4% | 21% | 43% | 30% | 2% |
| 63 | KIAYIAS Aris | 2% | 13% | 31% | 33% | 17% | 4% | - |
| 64 | ALLEN Henry G. | - | 3% | 16% | 34% | 32% | 13% | 2% |
| 65 | CHENG Ethan | - | - | 5% | 24% | 43% | 25% | 2% |
| 66 | BATRA-BANG Jonah | 1% | 13% | 35% | 34% | 14% | 3% | - |
| 67 | KAPOOR Aayan | 3% | 15% | 32% | 32% | 16% | 3% | - |
| 68 | SUI Samuel | 21% | 40% | 28% | 10% | 2% | - | - |
| 69 | LI Ayren | 3% | 16% | 34% | 31% | 13% | 3% | - |
| 70 | GUTH Joseph | - | 4% | 18% | 34% | 30% | 12% | 2% |
| 70 | PALMA Nathan Anthony | - | 5% | 22% | 38% | 27% | 8% | 1% |
| 72 | SENIC Lucas | - | 2% | 13% | 31% | 35% | 17% | 3% |
| 73 | SONG Noel | 12% | 33% | 34% | 17% | 4% | - | - |
| 74 | LAI Twayne | - | 3% | 22% | 42% | 27% | 6% | - |
| 75 | FEDELI Francesco | 1% | 6% | 21% | 35% | 28% | 9% | 1% |
| 76 | UNGERER Roger M. | 3% | 16% | 33% | 31% | 14% | 3% | - |
| 77 | GRIFFITH MCALLISTER Thomas | 11% | 32% | 34% | 18% | 5% | 1% | - |
| 78 | DHOKTE Neev | 3% | 19% | 37% | 31% | 10% | 1% | - |
| 79 | TAN Aidan | 8% | 29% | 35% | 20% | 6% | 1% | - |
| 80 | NICOLL William | - | 3% | 21% | 42% | 28% | 6% | |
| 81 | MASTROPAOLO Jonah W. | 4% | 20% | 35% | 28% | 11% | 2% | - |
| 82 | CHUANG Oscar | - | 8% | 36% | 39% | 15% | 2% | - |
| 83 | AKYAMAC Bora | 1% | 10% | 30% | 38% | 19% | 2% | - |
| 84 | GHEDINI Luca | - | 3% | 14% | 32% | 33% | 15% | 2% |
| 85 | CHEN Kyle P. | - | 2% | 9% | 26% | 36% | 23% | 4% |
| 86 | XU Ethan | 1% | 10% | 39% | 38% | 12% | 1% | - |
| 86 | CHEN Kelton | 9% | 34% | 38% | 17% | 3% | - | - |
| 88 | TONKOVICH Ryan | 1% | 10% | 31% | 36% | 18% | 4% | - |
| 89 | BOBROW Silas | 1% | 11% | 32% | 37% | 17% | 3% | - |
| 90 | WONG Jacob W. | 5% | 31% | 40% | 19% | 4% | - | - |
| 91 | BRAVO ORTEGA Estéfano | - | 3% | 15% | 32% | 33% | 15% | 2% |
| 92 | PARRISH Evan | 20% | 41% | 29% | 9% | 1% | - | - |
| 93 | ZHUANG Chuanxuan | 6% | 25% | 37% | 24% | 7% | 1% | - |
| 94 | FOGELSON Hugh | 4% | 21% | 39% | 27% | 8% | 1% | - |
| 95 | SUN Ryan | 24% | 50% | 23% | 4% | - | - | - |
| 96 | WANG Brian | 2% | 15% | 33% | 33% | 15% | 3% | - |
| 97 | LU Kevin | 1% | 11% | 32% | 37% | 17% | 1% | - |
| 98 | PARK Rion | 5% | 28% | 39% | 21% | 5% | - | - |
| 99 | ZHANG Teddy | 44% | 41% | 13% | 2% | - | - | - |
| 100 | LEE Eugene | 24% | 54% | 20% | 3% | - | - | |
| 101 | SHAPIRO Leon | 12% | 40% | 34% | 12% | 2% | - | - |
| 102 | XIE Jicheng | 4% | 25% | 40% | 24% | 6% | 1% | - |
| 103 | SIMON Luke | 26% | 41% | 24% | 7% | 1% | - | - |
| 104 | LI Samuel | 2% | 14% | 32% | 33% | 16% | 4% | - |
| 104 | HIGGASON Hugh | 39% | 42% | 16% | 3% | - | - | - |
| 106 | SRINIVASAN Vedant | 1% | 10% | 30% | 36% | 19% | 4% | - |
| 107 | GAO Payton | 9% | 33% | 37% | 17% | 4% | - | - |
| 108 | ZENG Rick | 9% | 31% | 35% | 19% | 5% | 1% | - |
| 109 | TANG Terry | 4% | 19% | 35% | 29% | 11% | 2% | - |
| 110 | TSAY Jordan R. | 9% | 29% | 35% | 20% | 6% | 1% | - |
| 111 | TJON Calum | 25% | 40% | 26% | 8% | 1% | - | - |
| 112 | TAE Ryan | 2% | 21% | 46% | 26% | 5% | - | - |
| 112 | VO Aidan | 5% | 40% | 40% | 14% | 2% | - | - |
| 114 | CHO Xzander | 14% | 50% | 30% | 5% | - | - | - |
| 115 | WANG Ralph | 79% | 20% | 2% | - | - | - | - |
| 116 | WANG Rory | 65% | 31% | 3% | - | - | - | - |
| 117 | MANIKTALA Suvir | 14% | 38% | 33% | 12% | 2% | - | - |
| 117 | JURMAN Therin | 3% | 23% | 41% | 26% | 7% | 1% | - |
| 119 | TAN Youkai (Isaac) | 50% | 43% | 7% | - | - | - | - |
| 120 | LIU ERIC | 12% | 33% | 34% | 17% | 4% | - | - |
| 121 | ZHANG Alex | 2% | 12% | 30% | 34% | 18% | 4% | - |
| 122 | VISHAWADIA Jaimin | 55% | 39% | 6% | - | - | - | |
| 123 | YU William | 50% | 42% | 7% | - | - | - | - |
| 124 | GLIAOS Christopher | 39% | 41% | 17% | 3% | - | - | - |
| 125 | SHENG Dalton | 2% | 13% | 30% | 33% | 18% | 4% | - |
| 126 | BLEIL Tyler | 38% | 42% | 17% | 3% | - | - | - |
| 127 | PAN Edwin | 41% | 41% | 15% | 3% | - | - | - |
| 128 | ZMUDA Aiden | 60% | 33% | 6% | 1% | - | - | - |
| 129 | YANG Jake | 27% | 52% | 19% | 3% | - | - | - |
| 130 | ROSS Jacob | 52% | 38% | 9% | 1% | - | - | - |
| 131 | YOON Junhyeok | 20% | 41% | 28% | 9% | 1% | - | - |
| 132 | FELLOWS Owen | 10% | 38% | 37% | 13% | 2% | - | - |
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.