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 | LAI Boden | - | - | - | - | 5% | 29% | 66% |
| 2 | KHALIL Younis | - | 1% | 6% | 23% | 37% | 26% | 6% |
| 3 | MEHROTRA Neel | - | - | - | 3% | 16% | 42% | 40% |
| 3 | CHEN Zhengyang (Allen) | - | - | - | - | 3% | 28% | 69% |
| 5 | DOUBOV Andrew | - | - | - | - | 5% | 35% | 59% |
| 6 | KARIMOV Amir | - | - | - | 2% | 12% | 39% | 48% |
| 7 | ZHAI Junqi | - | - | 3% | 17% | 37% | 34% | 9% |
| 8 | LYCHKO Maksym | - | 1% | 6% | 22% | 36% | 28% | 8% |
| 9 | HERNDON Liam | - | - | 1% | 9% | 28% | 40% | 22% |
| 9 | LIU Adam | - | - | - | - | 2% | 23% | 74% |
| 11 | BAJAJ Nakul | - | 1% | 6% | 25% | 44% | 24% | |
| 12 | MIDYANY Ryan | - | - | 1% | 7% | 30% | 48% | 15% |
| 13 | HELMY Richard | - | 4% | 20% | 39% | 29% | 7% | |
| 14 | RADZIKOWSKI Sam | - | 3% | 15% | 33% | 35% | 14% | |
| 15 | LI Morgan | - | - | 3% | 14% | 33% | 36% | 15% |
| 16 | NG Nico | - | 2% | 15% | 36% | 36% | 12% | |
| 17 | GUMEDELLI Mohnish | - | - | - | 2% | 14% | 41% | 42% |
| 18 | SAVORETTI Pietro | - | - | - | 4% | 19% | 41% | 36% |
| 19 | AHMED Mohsen | - | - | - | 1% | 6% | 32% | 61% |
| 20 | BRADSHAW Carter | - | - | 5% | 19% | 37% | 31% | 8% |
| 21 | LI Ryan | - | 2% | 14% | 34% | 34% | 14% | 2% |
| 22 | KOGAN Yelisey L. | - | 5% | 20% | 35% | 28% | 10% | 1% |
| 23 | LUO Alexander | - | 1% | 6% | 23% | 44% | 26% | |
| 24 | DURKIN Hudson | - | - | 5% | 23% | 44% | 28% | |
| 25 | TRAN Spencer | - | - | 1% | 6% | 33% | 61% | |
| 26 | SUH Aiden | - | 3% | 14% | 33% | 36% | 14% | |
| 27 | BRESLAV Asher | 7% | 31% | 39% | 19% | 4% | - | |
| 28 | KABA Elias | - | - | 1% | 11% | 36% | 43% | 8% |
| 29 | LI Ray | - | 2% | 12% | 32% | 36% | 16% | 2% |
| 30 | SOLARZ Arthur | - | 1% | 11% | 34% | 39% | 14% | |
| 31 | MOZZER Nolan | - | 3% | 17% | 38% | 32% | 9% | - |
| 32 | THOMAS Andrew | 2% | 16% | 37% | 31% | 12% | 2% | - |
| 33 | CHEN Cameron | - | 3% | 16% | 33% | 32% | 13% | 2% |
| 34 | CHAU Collin | 1% | 9% | 27% | 36% | 22% | 5% | - |
| 35 | SHAPIRO Samuel | 6% | 27% | 40% | 22% | 5% | < 1% | - |
| 36 | CUELLAR Markus | - | 1% | 11% | 31% | 39% | 18% | |
| 37 | CHEN Aiden | 3% | 18% | 35% | 31% | 12% | 2% | |
| 38 | HE Yurui | - | 3% | 18% | 37% | 32% | 10% | |
| 39 | PETINO Leonardo | - | 2% | 13% | 31% | 34% | 17% | 3% |
| 40 | CHEN Edward | - | - | 1% | 8% | 26% | 41% | 24% |
| 41 | SPALDING Elihu | - | 2% | 12% | 31% | 35% | 17% | 3% |
| 41 | GAO Ryan | 1% | 8% | 25% | 35% | 23% | 7% | 1% |
| 43 | QI Bryan | 2% | 16% | 36% | 32% | 12% | 1% | - |
| 44 | LEE Henry | - | - | 4% | 20% | 42% | 30% | 3% |
| 45 | NOOL Alexander | - | 2% | 11% | 28% | 35% | 20% | 4% |
| 46 | MORI Seneca | - | 1% | 7% | 25% | 39% | 25% | 3% |
| 47 | LIU Ethan | - | 1% | 10% | 30% | 38% | 19% | 2% |
| 48 | HOLCOMB Liam | 25% | 44% | 24% | 6% | 1% | - | |
| 49 | TSIEN Richard | 1% | 7% | 25% | 38% | 24% | 5% | |
| 50 | CHO Adrian | 6% | 26% | 38% | 24% | 6% | - | |
| 51 | CUMMINGS Owen | - | 3% | 16% | 37% | 36% | 7% | |
| 52 | ALEXANDER Christopher | 1% | 10% | 31% | 37% | 19% | 3% | |
| 53 | TARCHICHI Robby | - | - | 5% | 23% | 43% | 28% | |
| 54 | CRESPO Nathaniel Justus | - | - | 3% | 17% | 35% | 33% | 11% |
| 55 | OSHIMA Robert | - | - | 5% | 22% | 43% | 27% | 3% |
| 56 | CARPENTER Touma S. | - | 3% | 15% | 33% | 34% | 14% | 1% |
| 57 | ERIKSEN Casey | - | 2% | 12% | 32% | 36% | 17% | 2% |
| 58 | BENNETT Nathaniel | - | 5% | 20% | 38% | 30% | 7% | - |
| 59 | STEVENS Owen | 6% | 25% | 38% | 24% | 6% | 1% | |
| 60 | CHALLAMEL Hadrien | 3% | 22% | 42% | 26% | 6% | 1% | |
| 61 | SUN Lucas | - | 1% | 6% | 22% | 36% | 28% | 8% |
| 62 | HONG Ethen | 1% | 11% | 31% | 37% | 18% | 3% | - |
| 63 | TOPRANI Valmik | 10% | 31% | 37% | 19% | 4% | - | |
| 64 | MANN Daniel | - | 6% | 24% | 38% | 25% | 6% | - |
| 65 | NILSEN Mark | - | 1% | 7% | 25% | 39% | 24% | 3% |
| 66 | LEE Connor | - | 1% | 5% | 21% | 38% | 28% | 6% |
| 67 | GOVOROV Alexander | - | 2% | 14% | 37% | 35% | 11% | 1% |
| 68 | PAN Anthony | - | 4% | 21% | 38% | 29% | 8% | |
| 69 | CHEN Raymond | - | 2% | 16% | 39% | 34% | 9% | |
| 70 | ORESKOVIC Olivier | - | 1% | 6% | 23% | 39% | 27% | 5% |
| 71 | PARIGIAN Alexander | - | 5% | 19% | 34% | 29% | 11% | 2% |
| 72 | KLOTS Theo | 17% | 40% | 31% | 10% | 2% | - | - |
| 73 | DATSON David | 6% | 28% | 39% | 22% | 5% | - | |
| 74 | MANSFIELD Hunter | - | 1% | 9% | 26% | 36% | 22% | 5% |
| 75 | CHAVES Evan | 2% | 17% | 41% | 30% | 9% | 1% | - |
| 76 | CHEN Evan | - | 1% | 10% | 29% | 37% | 19% | 3% |
| 77 | CZEPLA Andrew | - | 1% | 7% | 23% | 37% | 26% | 7% |
| 78 | ROBINSON Blake | 37% | 43% | 16% | 3% | - | - | - |
| 78 | LEE Joonseong | - | 1% | 5% | 18% | 33% | 32% | 12% |
| 80 | TOMPA Paul | 12% | 38% | 36% | 12% | 2% | - | - |
| 81 | MCGRATH Hogan | 13% | 35% | 33% | 15% | 4% | - | - |
| 82 | LI Tyrese | 22% | 41% | 27% | 8% | 1% | - | - |
| 83 | ZHENG Jason | 1% | 11% | 29% | 36% | 19% | 4% | |
| 84 | JOHNSON Dieko | - | 1% | 9% | 30% | 40% | 20% | |
| 85 | TANG Colin | 7% | 27% | 38% | 23% | 5% | - | |
| 86 | ALABI Azryl | - | 5% | 22% | 38% | 28% | 7% | |
| 87 | SMALL Brayden | 14% | 37% | 34% | 13% | 2% | - | |
| 88 | YAMAUCHI Corbin | 10% | 41% | 37% | 12% | 1% | - | |
| 89 | TUNG Charlie | 4% | 21% | 37% | 28% | 8% | 1% | |
| 90 | BARONE Anthony | 14% | 42% | 32% | 11% | 2% | - | |
| 91 | WILLIAMS Gavin | 26% | 44% | 24% | 6% | 1% | - | |
| 92 | CAO Gavin | - | 6% | 23% | 36% | 25% | 8% | 1% |
| 93 | LEE Harrison | 1% | 11% | 32% | 37% | 16% | 3% | - |
| 94 | AGUIRRE Pablo | 3% | 19% | 36% | 29% | 11% | 2% | - |
| 95 | JHUNJHUNWALA Milan | 1% | 8% | 26% | 35% | 23% | 7% | 1% |
| 96 | LI Terence | - | 1% | 10% | 31% | 38% | 17% | 2% |
| 97 | SONPAL Winslow | 1% | 14% | 35% | 34% | 14% | 2% | - |
| 98 | KO Ethan | 9% | 32% | 38% | 17% | 3% | - | - |
| 99 | HANNA Alexander | 1% | 12% | 36% | 35% | 14% | 2% | - |
| 100 | ATKINS Elan | 5% | 30% | 39% | 20% | 5% | - | - |
| 100 | JOHNSON Lincoln | 28% | 45% | 22% | 4% | - | - | - |
| 102 | BHANDARE Veer | - | 2% | 12% | 34% | 36% | 14% | 2% |
| 103 | SKLAR Davida | - | 3% | 17% | 34% | 31% | 13% | 2% |
| 104 | CIANCHETTA David | 16% | 39% | 32% | 12% | 2% | - | - |
| 105 | MERHEJ Sean | 24% | 47% | 24% | 5% | 1% | - | - |
| 106 | XIE Richard | 17% | 39% | 31% | 11% | 2% | - | - |
| 107 | KIM Remington | - | 5% | 21% | 38% | 28% | 7% | |
| 108 | ZHU Brady | 17% | 39% | 32% | 11% | 2% | - | |
| 109 | EFFRON Silas | 8% | 29% | 36% | 21% | 6% | 1% | |
| 110 | THOMAS Ethan | 11% | 34% | 36% | 16% | 3% | - | |
| 111 | ROSIELLO Francesco | 3% | 17% | 34% | 30% | 13% | 3% | - |
| 112 | CHUKWU Mark | 31% | 48% | 18% | 3% | - | - | - |
| 113 | ROBINSON Garrett | 2% | 14% | 33% | 33% | 15% | 3% | - |
| 114 | LIU George | 2% | 16% | 34% | 31% | 14% | 3% | - |
| 115 | PROULX Nico | 10% | 35% | 38% | 15% | 2% | - | - |
| 116 | WAGNER Bennett | 63% | 31% | 5% | - | - | - | - |
| 117 | JIANG Aidan | 29% | 44% | 22% | 4% | - | - | - |
| 118 | DUNCAN John | 33% | 43% | 19% | 4% | - | - | - |
| 119 | KHAW-BRIOT Julien | 22% | 41% | 27% | 9% | 1% | - | - |
| 120 | LAVIN Ethan | 22% | 41% | 28% | 8% | 1% | - | - |
| 121 | GIMBRERE Alexandre | 21% | 46% | 26% | 7% | 1% | - | - |
| 122 | O'BRIEN Michael | 35% | 43% | 19% | 3% | - | - | - |
| 123 | CHEN Jayden | 25% | 41% | 26% | 7% | 1% | - | |
| 124 | RUDIGER George | 18% | 40% | 30% | 10% | 2% | - | - |
| 125 | SCIORRA Sante | 34% | 45% | 18% | 3% | - | - | - |
| 126 | MITTELMAN Maximilian | 8% | 33% | 38% | 18% | 3% | - | - |
| 127 | JUSTA Rivan | 26% | 43% | 24% | 6% | 1% | - | - |
| 128 | HAN Nathan | 17% | 43% | 30% | 9% | 1% | - | - |
| 129 | HOLBROOK Silas | 42% | 42% | 14% | 2% | - | - | |
| 130 | ANDERSON Connor | 20% | 42% | 29% | 8% | 1% | - | - |
| 131 | PREVOST Landon | 56% | 34% | 8% | 1% | - | - | - |
| 132 | MUNFORD Malik | 55% | 36% | 8% | 1% | - | - | |
| 133 | ZHENG Yicheng Will | 41% | 42% | 15% | 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.