Gaylord National Resort and Convention Center - National Harbor, DC, 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 | WIMMER Nathaniel P. | - | - | - | - | 4% | 31% | 65% |
| 2 | WOLFE Alex | - | - | - | 1% | 10% | 37% | 52% |
| 3 | SILVERS Ari | - | - | - | 2% | 11% | 37% | 51% |
| 3 | DODIN David | - | - | - | 1% | 7% | 35% | 57% |
| 5 | MAO Benjamin | - | - | 2% | 11% | 31% | 39% | 16% |
| 6 | SHAN Junzhe | - | - | - | 1% | 9% | 38% | 52% |
| 7 | KARNAS Karol | - | - | - | 2% | 13% | 41% | 44% |
| 8 | CLICK Tristan | - | - | 1% | 11% | 35% | 39% | 13% |
| 9 | KHANNA Nikhil | - | - | - | - | 3% | 24% | 72% |
| 10 | LEE Samuel Y. | - | - | - | - | 4% | 27% | 69% |
| 11 | ZHAI Avalo | - | - | 1% | 6% | 28% | 49% | 17% |
| 12 | XIAO Hanzhi (Shawn) | - | - | 1% | 5% | 22% | 43% | 28% |
| 13 | YANG Boyan | - | - | - | - | 5% | 31% | 64% |
| 14 | CHEN Brian | - | - | 2% | 13% | 37% | 36% | 11% |
| 15 | TIYA BIAYA K. | - | - | - | 1% | 7% | 38% | 54% |
| 16 | DAN Rex | - | 3% | 12% | 29% | 34% | 19% | 3% |
| 17 | WANG zhixing (Daniel) | - | - | - | 3% | 16% | 41% | 40% |
| 18 | ZHAO Zidong | 1% | 5% | 19% | 34% | 29% | 11% | 1% |
| 19 | ZHENG Andy | - | - | - | 2% | 12% | 39% | 47% |
| 20 | ZAYDMAN Ethan | - | - | - | 3% | 15% | 40% | 42% |
| 21 | HEADRICK Lance | - | 1% | 4% | 16% | 32% | 33% | 14% |
| 22 | DHAL Leon | 1% | 6% | 20% | 32% | 28% | 12% | 2% |
| 23 | KANG EUNWOO | - | 1% | 6% | 27% | 44% | 20% | 2% |
| 24 | OSBORN Hunter | - | 2% | 12% | 33% | 38% | 15% | |
| 25 | LEE Aiden | - | 1% | 7% | 24% | 38% | 26% | 3% |
| 26 | GINZBURG Adam | - | 1% | 9% | 26% | 36% | 23% | 4% |
| 27 | HERNDON Liam | - | - | 4% | 21% | 44% | 27% | 4% |
| 28 | ZENG Andrew | - | 3% | 17% | 37% | 32% | 9% | - |
| 29 | TRULL A.J. | - | - | 3% | 17% | 38% | 34% | 7% |
| 30 | GRAVES Lawson | - | 3% | 17% | 36% | 32% | 10% | 1% |
| 31 | SIEDOW William | 5% | 23% | 36% | 26% | 9% | 1% | |
| 32 | MEHROTRA Neel | - | 2% | 11% | 30% | 36% | 18% | 3% |
| 33 | MITEV Alexander | - | 1% | 8% | 23% | 35% | 26% | 7% |
| 34 | HU Anton | - | 3% | 17% | 37% | 33% | 9% | |
| 35 | KUGLER Luke | - | 3% | 14% | 33% | 35% | 14% | 2% |
| 36 | NAKAS Levent | - | - | 2% | 12% | 34% | 39% | 12% |
| 37 | CHIN Dylan A. | - | - | - | 5% | 23% | 44% | 28% |
| 38 | BORISENKO Samuel | - | - | 2% | 14% | 36% | 37% | 12% |
| 39 | AYOTTE James | - | 1% | 7% | 28% | 39% | 22% | 4% |
| 40 | ZHENG Jerry | - | 1% | 7% | 24% | 38% | 26% | 5% |
| 41 | ALI Farhan | - | 2% | 12% | 30% | 36% | 17% | 2% |
| 42 | PETROVICH Alexandar | 1% | 8% | 27% | 38% | 22% | 4% | - |
| 43 | CHEN Bowen | - | 5% | 21% | 39% | 27% | 7% | - |
| 44 | SINGH Ravin | - | 2% | 10% | 29% | 39% | 20% | |
| 45 | PETROW Zoryan | - | - | 1% | 10% | 35% | 42% | 11% |
| 46 | ATKINS Levi H. | 7% | 25% | 34% | 23% | 8% | 2% | - |
| 47 | ZI QIN Shang | - | - | - | 1% | 11% | 40% | 47% |
| 48 | SONG Troy | - | 3% | 18% | 35% | 32% | 11% | 1% |
| 49 | LIU Bryan | 2% | 12% | 27% | 32% | 20% | 6% | 1% |
| 50 | SOKOL Luke | - | 1% | 8% | 22% | 35% | 26% | 8% |
| 51 | MAZAHERI Fletcher | 5% | 21% | 34% | 27% | 11% | 2% | - |
| 52 | PALIWODA Nicholas | - | 3% | 16% | 36% | 33% | 11% | |
| 53 | CHUTKAY Sai Pratham | 2% | 14% | 35% | 34% | 14% | 2% | |
| 54 | KE Sebastian | 15% | 37% | 33% | 13% | 2% | - | |
| 55 | BOUDREAUX James | - | 4% | 18% | 35% | 31% | 10% | |
| 56 | MEN Junda | - | 3% | 16% | 33% | 32% | 13% | 2% |
| 57 | LE BORGNE Matthieu | - | 1% | 7% | 21% | 34% | 28% | 9% |
| 58 | LAM Alan | - | 1% | 6% | 19% | 33% | 30% | 10% |
| 59 | VYSOTSKIY Evan | 1% | 9% | 25% | 34% | 23% | 7% | 1% |
| 60 | HERNANDEZ SANTIAGO | - | 2% | 13% | 33% | 38% | 13% | 1% |
| 61 | HOLLIS Sean | 2% | 12% | 30% | 34% | 18% | 4% | - |
| 62 | CARNALL Hunter | 6% | 29% | 39% | 21% | 5% | - | |
| 63 | FANG Hanning | - | - | 2% | 14% | 36% | 40% | 8% |
| 64 | SINGLETON Aman | 2% | 12% | 31% | 35% | 16% | 3% | - |
| 65 | CHHU Allen | 5% | 21% | 34% | 27% | 11% | 2% | < 1% |
| 66 | DURKIN Hudson | - | 1% | 8% | 25% | 37% | 24% | 5% |
| 67 | FISHMAN Rahm | - | - | 2% | 11% | 33% | 41% | 13% |
| 68 | SERMONS Asa | 9% | 29% | 35% | 20% | 6% | 1% | - |
| 69 | VUILLEMIN Gregoire | 1% | 10% | 28% | 35% | 21% | 5% | - |
| 70 | SAUNIER Cameron | - | 3% | 18% | 37% | 31% | 10% | 1% |
| 71 | LOISEAU Oscar | - | 1% | 7% | 25% | 39% | 25% | 3% |
| 72 | CORBIN Bennett | - | - | 4% | 15% | 32% | 34% | 14% |
| 73 | TSE Maxwell | - | - | - | 4% | 21% | 43% | 30% |
| 74 | LIPPMAN Jake | 2% | 17% | 38% | 32% | 10% | 1% | - |
| 75 | RAPALSKI Thomas | 3% | 16% | 35% | 33% | 13% | 2% | - |
| 76 | ZIEGLER John | 1% | 7% | 21% | 33% | 26% | 11% | 2% |
| 77 | O'LONGAIGH Sunkhar | - | 1% | 10% | 31% | 37% | 18% | 3% |
| 78 | DONG Haiyi | - | 3% | 15% | 32% | 32% | 15% | 2% |
| 79 | PAL Ian K. | 9% | 27% | 34% | 22% | 8% | 1% | - |
| 80 | PENG Yue | 5% | 19% | 32% | 28% | 13% | 3% | - |
| 81 | BUI Henry | - | 2% | 12% | 33% | 37% | 15% | |
| 82 | LEE DoWon | 1% | 10% | 31% | 37% | 18% | 3% | |
| 83 | CAFASSO Alexander | 7% | 27% | 36% | 22% | 6% | 1% | |
| 84 | LAPP Oliver | 1% | 11% | 29% | 34% | 19% | 5% | - |
| 85 | ALABI Tobi | - | 1% | 6% | 24% | 39% | 25% | 4% |
| 86 | TESFAYE Elias | 12% | 34% | 35% | 16% | 3% | - | - |
| 87 | XIA Dashan | - | 4% | 16% | 30% | 31% | 15% | 3% |
| 88 | ZHAO Michael(Junyi) | - | 5% | 20% | 35% | 29% | 10% | 1% |
| 89 | GUO ZIXU | 1% | 15% | 36% | 33% | 13% | 2% | - |
| 90 | BRADSHAW Carter | 5% | 21% | 34% | 27% | 10% | 2% | - |
| 91 | BRODSKY Julian | - | 1% | 8% | 23% | 36% | 26% | 6% |
| 92 | BUI Ryan | - | 8% | 31% | 40% | 17% | 3% | - |
| 93 | HUGHES Eamonn | 8% | 28% | 35% | 21% | 6% | 1% | - |
| 94 | REKHI Krish | 17% | 37% | 31% | 13% | 3% | - | - |
| 95 | YU Jason | 1% | 6% | 20% | 34% | 28% | 10% | 1% |
| 96 | BAJAJ Nakul | 3% | 22% | 41% | 27% | 7% | 1% | - |
| 97 | LEE JiYuen | 1% | 5% | 19% | 33% | 29% | 12% | 2% |
| 98 | MALHAM Andrew | 3% | 16% | 34% | 31% | 13% | 2% | - |
| 99 | ROSADO Balthazar Francisco | 6% | 26% | 38% | 23% | 6% | 1% | - |
| 99 | EVANS George | 1% | 11% | 28% | 34% | 20% | 5% | - |
| 101 | MODANLOU Navid | 1% | 8% | 23% | 33% | 25% | 9% | 1% |
| 102 | HERNÁNDEZ Leandros | - | - | 5% | 21% | 42% | 32% | |
| 103 | GONZALEZ Lucas | 2% | 13% | 31% | 34% | 17% | 3% | |
| 104 | JIANG Matthew | 6% | 24% | 34% | 24% | 9% | 2% | - |
| 105 | YI Nathan | - | 5% | 21% | 38% | 29% | 7% | - |
| 106 | SUN Ethan | 17% | 38% | 31% | 11% | 2% | - | - |
| 107 | ZAHRAN Aiden | 1% | 8% | 23% | 33% | 24% | 9% | 1% |
| 108 | KARIMOV Amir | 17% | 39% | 31% | 11% | 2% | - | - |
| 109 | MARTINEZ Gabriel | 9% | 31% | 36% | 19% | 5% | - | - |
| 110 | SODANI Luke | 15% | 37% | 33% | 13% | 2% | - | - |
| 111 | KONG Brandon | 6% | 24% | 37% | 25% | 8% | 1% | - |
| 112 | MOORE Alexander | 2% | 12% | 30% | 34% | 18% | 4% | - |
| 113 | LEE Aiden | 1% | 13% | 34% | 34% | 15% | 3% | - |
| 114 | MARTINEZ Kenneth | 9% | 33% | 39% | 16% | 3% | - | - |
| 115 | CHEN Jayden | 10% | 32% | 37% | 17% | 4% | - | |
| 116 | NILSEN Mark | 19% | 38% | 30% | 11% | 2% | - | |
| 117 | HAN Sam | 1% | 8% | 24% | 34% | 24% | 8% | 1% |
| 118 | ARMSTRONG TyLee | 1% | 13% | 34% | 34% | 15% | 2% | - |
| 119 | HUANG Kenneth | - | 3% | 14% | 31% | 34% | 16% | 2% |
| 120 | MIDYANY Evan | 1% | 11% | 28% | 35% | 20% | 5% | - |
| 121 | XIONG Aaron | 1% | 7% | 22% | 32% | 26% | 10% | 2% |
| 122 | LIMA Cole | 15% | 38% | 32% | 12% | 2% | - | - |
| 123 | KIM Joshua | 1% | 10% | 26% | 34% | 22% | 7% | 1% |
| 124 | ZOGRAFOS Nicholas | 8% | 28% | 38% | 21% | 5% | - | - |
| 125 | AHN EZRA | 8% | 27% | 36% | 22% | 7% | 1% | - |
| 125 | YANG Gary | 6% | 23% | 33% | 25% | 10% | 2% | - |
| 127 | SZIEDE Kieran | 45% | 39% | 13% | 2% | - | - | - |
| 128 | BO Genero | 17% | 36% | 31% | 13% | 3% | - | - |
| 129 | NOOL Alexander | 3% | 27% | 43% | 23% | 4% | - | - |
| 130 | MACTOUGH Ben | 17% | 37% | 31% | 13% | 2% | - | - |
| 131 | FONG Henry | 18% | 39% | 30% | 11% | 2% | - | - |
| 132 | LIU Adam | 1% | 8% | 25% | 36% | 23% | 6% | - |
| 133 | LEE Anton | 7% | 26% | 37% | 23% | 7% | 1% | - |
| 134 | BENNETT Pierce | 50% | 39% | 10% | 1% | - | - | - |
| 135 | HOOD Emery | 12% | 34% | 35% | 16% | 3% | - | - |
| 136 | LIN Zizhen | 2% | 16% | 37% | 32% | 12% | 2% | - |
| 137 | NAEMI Barsam | 2% | 13% | 29% | 33% | 19% | 5% | - |
| 138 | HEITFIELD Markus | 4% | 30% | 42% | 20% | 3% | - | - |
| 139 | ROSIELLO Francesco | 30% | 45% | 20% | 4% | - | - | - |
| 140 | WACK Logan | 2% | 25% | 43% | 24% | 5% | - | - |
| 141 | DOAN Christopher | 17% | 39% | 32% | 11% | 2% | - | |
| 142 | JIANG Harry | 7% | 27% | 36% | 22% | 6% | 1% | - |
| 143 | GUO Lucas | 10% | 29% | 34% | 20% | 6% | 1% | - |
| 144 | SHILOV Maxim | 2% | 18% | 42% | 29% | 8% | 1% | - |
| 145 | BARKMAN Hudson | 8% | 28% | 37% | 22% | 6% | 1% | - |
| 146 | NGUYEN Noah | - | 4% | 19% | 36% | 30% | 10% | 1% |
| 147 | ZHAO Pierce | 24% | 45% | 25% | 5% | 1% | - | - |
| 147 | FLORES Theodore | 1% | 11% | 28% | 33% | 20% | 6% | 1% |
| 149 | OBRUBA Nathaniel | 14% | 37% | 34% | 13% | 2% | - | - |
| 150 | WANG Aiden | 2% | 22% | 41% | 27% | 7% | 1% | - |
| 151 | HANNA Alexander | 16% | 42% | 33% | 9% | 1% | - | - |
| 152 | JIANG Aaron | 7% | 26% | 37% | 23% | 6% | 1% | - |
| 153 | SUNKARA Vishnu | 1% | 9% | 28% | 37% | 21% | 4% | - |
| 154 | CHAWLA Aarav | 9% | 36% | 37% | 15% | 3% | - | - |
| 155 | LIU Ethan | 26% | 41% | 25% | 7% | 1% | - | - |
| 156 | FENG Xinmin | 69% | 27% | 4% | - | - | - | - |
| 157 | KIM Jaewon | 32% | 45% | 20% | 3% | - | - | - |
| 158 | KROPP Wesley | 2% | 14% | 33% | 33% | 15% | 3% | - |
| 159 | CHAMBERS Ryan | 21% | 39% | 28% | 10% | 2% | - | - |
| 160 | WANG Marcus | 11% | 31% | 35% | 19% | 5% | 1% | - |
| 161 | KENDLER Micah | 9% | 29% | 35% | 20% | 6% | 1% | - |
| 162 | LAZURAN Daniel | 13% | 36% | 34% | 14% | 3% | - | - |
| 163 | OCONNOR Paul | 53% | 37% | 9% | 1% | - | - | |
| 164 | CHAN Ryan | 73% | 24% | 3% | - | - | - | - |
| 165 | BURHANAN Tangguh | 62% | 32% | 6% | - | - | - | - |
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.