Rockland Community College, Eugene Levy Field House - Suffern, NY, 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 | NORMILE Nicholas | - | - | - | 1% | 9% | 38% | 52% |
| 2 | CHEN Zhengyang (Allen) | - | - | - | 1% | 16% | 83% | |
| 3 | ADDYSON Aidan | - | 1% | 10% | 33% | 41% | 16% | |
| 3 | GUMEDELLI Mohnish | - | - | - | 3% | 15% | 41% | 41% |
| 5 | CHEN Jayden | - | - | 1% | 9% | 28% | 42% | 20% |
| 6 | TRAN Spencer | - | - | - | 2% | 14% | 42% | 42% |
| 7 | YAMAGUCHI Yuzuki | - | - | 1% | 6% | 23% | 43% | 27% |
| 8 | NGO-D'ANDRE Nicolas | - | - | 1% | 13% | 52% | 34% | |
| 9 | NG Nico | - | 1% | 10% | 39% | 43% | 7% | |
| 10 | SINGLETON Aman | - | - | 1% | 9% | 46% | 45% | |
| 11 | BOUDREAUX James | - | - | - | 3% | 27% | 70% | |
| 11 | GOVOROV Alexander | - | 3% | 14% | 33% | 34% | 14% | 2% |
| 13 | SZCZAPA Lukas | - | 1% | 8% | 24% | 35% | 25% | 6% |
| 14 | CRESPO Nathaniel Justus | - | 1% | 9% | 31% | 41% | 18% | |
| 15 | AHMED Mohsen | - | - | - | 1% | 10% | 36% | 52% |
| 16 | LYCHKO Maksym | - | - | 3% | 15% | 36% | 35% | 10% |
| 17 | YI Nathan | - | - | 4% | 21% | 44% | 30% | |
| 18 | LI Jade | - | - | 1% | 7% | 23% | 41% | 28% |
| 19 | SOLARZ Arthur | - | - | 4% | 20% | 42% | 29% | 5% |
| 19 | MOZZER Nolan | - | 3% | 12% | 28% | 34% | 19% | 4% |
| 21 | CHANEY Charles | - | - | 2% | 12% | 33% | 38% | 14% |
| 22 | CHO Adrian | - | 5% | 18% | 33% | 30% | 13% | 2% |
| 23 | HENNESSY Levon | - | 3% | 17% | 37% | 33% | 10% | |
| 24 | CUELLAR Markus | - | 1% | 7% | 27% | 46% | 19% | |
| 25 | MEHROTRA Neel | - | - | - | 3% | 17% | 41% | 38% |
| 26 | BHANDARE Veer | 1% | 6% | 21% | 35% | 28% | 9% | 1% |
| 27 | CHEN Edward | - | - | 1% | 7% | 27% | 42% | 23% |
| 28 | KABA Elias | - | 1% | 9% | 29% | 41% | 20% | |
| 29 | ZHU Brady | 11% | 34% | 36% | 16% | 3% | - | - |
| 30 | MARTISEK Martin | - | 1% | 5% | 21% | 38% | 28% | 7% |
| 31 | WANG Marcus | 1% | 9% | 26% | 35% | 22% | 6% | 1% |
| 32 | CHEN Daniel | 6% | 25% | 39% | 24% | 5% | - | |
| 33 | LEE Anton | - | - | 1% | 6% | 23% | 41% | 29% |
| 34 | LAJOIE Christophe | - | - | 2% | 13% | 43% | 42% | |
| 35 | ZHANG Marcus Xuanwei | - | - | 4% | 18% | 38% | 31% | 8% |
| 36 | KIM Henry | - | - | - | 2% | 11% | 37% | 50% |
| 37 | ZHENG Jason | - | 3% | 14% | 30% | 32% | 17% | 3% |
| 38 | LI Ryan | - | 1% | 8% | 23% | 35% | 26% | 7% |
| 39 | THOMAS Andrew | - | 3% | 15% | 31% | 33% | 15% | 2% |
| 40 | LUO Alexander | - | 1% | 9% | 31% | 41% | 18% | |
| 41 | HE Bronto | - | 4% | 19% | 40% | 30% | 7% | |
| 43 | HUANG Max | 1% | 10% | 28% | 36% | 20% | 5% | - |
| 44 | LEE DoWon | - | - | - | 5% | 22% | 43% | 30% |
| 45 | MILINKOVIC Maksim | - | - | 2% | 14% | 38% | 37% | 8% |
| 46 | GAO Ryan | 1% | 8% | 24% | 34% | 24% | 8% | 1% |
| 47 | JHUNJHUNWALA Milan | 3% | 15% | 31% | 31% | 16% | 4% | - |
| 48 | LOPATIN Sergei | 4% | 20% | 34% | 28% | 11% | 2% | - |
| 49 | VYSOTSKIY Evan | - | - | 1% | 7% | 23% | 41% | 29% |
| 50 | CHAU Collin | - | 1% | 5% | 20% | 36% | 30% | 8% |
| 51 | SONG Aidan | 2% | 10% | 26% | 33% | 21% | 7% | 1% |
| 52 | MIDYANY Ryan | - | - | 2% | 11% | 29% | 38% | 20% |
| 53 | ZHENG Jasper | 2% | 13% | 35% | 36% | 13% | - | |
| 54 | MADRIGAL SALVAT Guillermo | 3% | 19% | 36% | 29% | 11% | 2% | - |
| 55 | MANSFIELD Hunter | - | 3% | 17% | 37% | 33% | 10% | |
| 57 | CHEN Hayden | 3% | 17% | 33% | 30% | 13% | 2% | - |
| 58 | GU Eric | 1% | 8% | 24% | 35% | 24% | 7% | 1% |
| 59 | AGUIRRE Pablo | 7% | 27% | 38% | 22% | 5% | 1% | - |
| 60 | LIN Lucas | 1% | 7% | 23% | 34% | 26% | 9% | 1% |
| 61 | TSIEN Richard | 2% | 10% | 27% | 33% | 21% | 6% | 1% |
| 62 | BRESLAV Asher | 2% | 12% | 28% | 33% | 20% | 5% | - |
| 63 | BENNETT Nathaniel | 2% | 10% | 26% | 33% | 21% | 6% | 1% |
| 64 | STRAFFORD Andrew | 2% | 13% | 29% | 32% | 19% | 5% | 1% |
| 65 | HAN Keyi | - | 3% | 15% | 32% | 33% | 15% | 2% |
| 66 | YAKHNIS Seth | 1% | 9% | 26% | 35% | 22% | 6% | - |
| 67 | NOOL Alexander | 1% | 11% | 33% | 36% | 16% | 3% | |
| 68 | ZHANG Jonathan | - | - | 4% | 19% | 38% | 31% | 8% |
| 69 | CAFASSO Alexander | - | 1% | 6% | 21% | 36% | 28% | 7% |
| 70 | LIN John | 6% | 24% | 35% | 25% | 9% | 1% | - |
| 71 | SONPAL Winslow | 16% | 42% | 32% | 8% | 1% | - | |
| 72 | CHEN Isaac Zhi | - | 1% | 4% | 18% | 36% | 32% | 9% |
| 73 | WANG-SONG Evan | - | 2% | 21% | 47% | 27% | 3% | |
| 74 | MANN Daniel | 1% | 10% | 27% | 34% | 21% | 6% | - |
| 75 | CHAN Tyler | 5% | 21% | 33% | 27% | 11% | 2% | - |
| 76 | YAZDANFAR Marius | 7% | 25% | 35% | 23% | 8% | 1% | - |
| 77 | CHAVES Evan | 2% | 13% | 34% | 34% | 14% | 3% | - |
| 78 | PENG Ethan | 3% | 15% | 30% | 31% | 16% | 4% | - |
| 79 | CHEN Aiden | - | 4% | 16% | 32% | 31% | 14% | 2% |
| 80 | FANG Charlie | 4% | 19% | 34% | 29% | 11% | 2% | - |
| 81 | LIU Andrew | 1% | 7% | 24% | 37% | 25% | 7% | 1% |
| 82 | TUNG Charlie | 1% | 6% | 20% | 33% | 28% | 11% | 2% |
| 83 | CARPENTER Touma S. | 7% | 30% | 40% | 19% | 4% | - | |
| 84 | TARCHICHI Robby | - | 1% | 12% | 35% | 38% | 14% | |
| 85 | TANG Colin | 1% | 11% | 36% | 42% | 10% | 1% | |
| 86 | QI Bryan | 7% | 31% | 43% | 17% | 2% | - | |
| 87 | LEE Harrison | 12% | 35% | 36% | 15% | 2% | - | |
| 88 | LIU Easun | 22% | 44% | 28% | 6% | - | - | |
| 89 | HONG Ethen | 17% | 39% | 32% | 11% | 1% | - | |
| 90 | ROBINSON Garrett | 2% | 10% | 26% | 33% | 22% | 7% | 1% |
| 91 | DATSON David | 3% | 14% | 30% | 32% | 17% | 4% | - |
| 92 | LIU Pan Iok | 5% | 20% | 34% | 28% | 12% | 2% | - |
| 93 | MELUCCI Jonathan | 11% | 35% | 36% | 15% | 3% | - | - |
| 94 | ASHLEY Logan | 2% | 14% | 32% | 33% | 16% | 3% | - |
| 95 | DANILOV Artur | 3% | 18% | 37% | 31% | 10% | 1% | - |
| 95 | SHAPIRO Samuel | 19% | 42% | 30% | 8% | 1% | - | |
| 97 | WANG Zhenhao | 7% | 25% | 34% | 24% | 9% | 2% | - |
| 98 | KIM Daniel | 1% | 9% | 30% | 40% | 19% | 1% | |
| 99 | WELCH Sebastian | 22% | 43% | 27% | 7% | 1% | - | |
| 100 | ZAGRAN Ivan | 13% | 34% | 33% | 16% | 4% | - | - |
| 101 | TANG Luke | 1% | 10% | 31% | 39% | 18% | 1% | |
| 102 | AU Joshua | 1% | 15% | 47% | 31% | 6% | - | |
| 103 | YAMAUCHI Corbin | 5% | 25% | 39% | 25% | 6% | 1% | - |
| 104 | MOSHIER Calvin | 12% | 37% | 36% | 13% | 2% | - | |
| 105 | MONDESIR Aidan Dickson | 8% | 27% | 36% | 22% | 6% | 1% | - |
| 106 | LEE Ryan | 14% | 41% | 32% | 10% | 1% | - | - |
| 107 | ACHILOV Murod | 22% | 54% | 21% | 3% | - | - | |
| 108 | JIN Noah | 3% | 16% | 33% | 31% | 14% | 3% | - |
| 110 | TOPRANI Valmik | 6% | 25% | 39% | 24% | 6% | - | |
| 111 | LIU Darren | 28% | 46% | 22% | 4% | - | - | |
| 112 | DUNCAN John | 31% | 45% | 20% | 4% | - | - | |
| 113 | NOOL Aaron | 1% | 9% | 29% | 37% | 20% | 5% | - |
| 114 | BARTON Christian | 23% | 39% | 27% | 9% | 2% | - | - |
| 115 | MCCANDLISH Owen | 11% | 32% | 35% | 18% | 5% | 1% | - |
| 116 | ATKINS Elan | 17% | 41% | 32% | 9% | 1% | - | |
| 117 | BEAULIEU Edmund | 19% | 39% | 29% | 10% | 2% | - | - |
| 118 | CHEN Jayden A | 19% | 40% | 30% | 10% | 1% | - | - |
| 119 | SCHLUBACH Jasper | 18% | 37% | 30% | 12% | 2% | - | - |
| 120 | WANG Ivan | 25% | 44% | 25% | 6% | - | - | |
| 121 | KHERSONSKY Robert | 2% | 12% | 29% | 33% | 19% | 5% | - |
| 122 | EFFRON Silas | 16% | 35% | 31% | 14% | 3% | - | - |
| 123 | THOMAS Ethan | 6% | 23% | 35% | 25% | 9% | 1% | - |
| 124 | ROFINO Samuel | 14% | 36% | 33% | 14% | 3% | - | - |
| 125 | KO Ethan | 15% | 34% | 32% | 15% | 4% | - | - |
| 126 | HOLCOMB Liam | 20% | 41% | 29% | 9% | 1% | - | - |
| 127 | KIM Louie | 24% | 46% | 24% | 5% | 1% | - | |
| 128 | PREVOST Landon | 57% | 38% | 5% | - | - | - | |
| 129 | FOGEL Jake | 8% | 27% | 36% | 22% | 6% | 1% | - |
| 130 | MERHEJ Sean | 25% | 43% | 25% | 6% | 1% | - | - |
| 130 | WAGNER Bennett | 39% | 42% | 16% | 3% | - | - | - |
| 132 | JIANG Aidan | 18% | 39% | 30% | 11% | 2% | - | - |
| 133 | XIE Richard | 7% | 24% | 35% | 24% | 9% | 1% | - |
| 134 | HAN Nathan | 32% | 44% | 20% | 4% | - | - | |
| 135 | WANG Aidan | 22% | 41% | 27% | 8% | 1% | - | - |
| 136 | DING Michael | 3% | 25% | 40% | 25% | 6% | 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.