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 | LIM Eunseong | - | - | - | - | 1% | 19% | 80% |
| 2 | XU Terrance | - | - | 4% | 17% | 36% | 33% | 10% |
| 3 | WANG Mendy | - | - | - | 5% | 33% | 61% | |
| 3 | SONG Enoch | - | - | 3% | 18% | 45% | 34% | |
| 5 | HUYNH Matthew | - | - | - | - | 5% | 32% | 63% |
| 6 | CHANG Parker | - | - | - | 4% | 19% | 43% | 35% |
| 7 | ZHAI Derrick | - | - | - | - | 3% | 26% | 70% |
| 8 | PARK Gi Beom | - | - | - | 2% | 15% | 47% | 36% |
| 9 | LIU Alex | - | - | - | 1% | 10% | 38% | 50% |
| 10 | XIAN kevin | - | - | - | - | 1% | 17% | 81% |
| 10 | WU Wallace | - | - | - | 2% | 23% | 75% | |
| 12 | DESERANNO Leander | - | - | - | - | 1% | 16% | 83% |
| 13 | WANG Caleb | - | - | 8% | 41% | 51% | ||
| 14 | JIN George | - | 1% | 9% | 30% | 42% | 19% | |
| 15 | ZHUANG Disheng (Eddie) | - | 1% | 5% | 24% | 44% | 26% | |
| 16 | GUGALA Frank | - | 3% | 19% | 42% | 31% | 5% | |
| 17 | LYU Brandon | - | - | - | 2% | 14% | 40% | 44% |
| 18 | LIN Lucas | - | - | 3% | 13% | 31% | 37% | 17% |
| 19 | PAN Howard Haoran | - | - | 3% | 16% | 33% | 34% | 13% |
| 20 | HU Michael | - | - | 6% | 25% | 43% | 26% | |
| 21 | CAO Joshua | - | 1% | 7% | 35% | 57% | ||
| 22 | FAN Ze Lin | - | - | - | 1% | 10% | 40% | 49% |
| 23 | NGUYEN Norris | 1% | 5% | 19% | 34% | 30% | 10% | - |
| 24 | RYU Dae Hyeon | - | 1% | 10% | 27% | 35% | 22% | 5% |
| 25 | SU Sean | - | 2% | 11% | 29% | 36% | 19% | 3% |
| 26 | PARK Joshua | - | - | 3% | 22% | 44% | 28% | 2% |
| 27 | ZHANG Eric | - | - | 5% | 21% | 40% | 28% | 6% |
| 28 | EVANS Desmond | - | - | - | 5% | 31% | 64% | |
| 29 | QIAN Will | - | 1% | 10% | 32% | 40% | 16% | |
| 30 | GOLI Arush Missing ID | |||||||
| 31 | QU Richard | - | - | - | 3% | 21% | 47% | 28% |
| 32 | CHEN Ethan | - | 4% | 22% | 44% | 26% | 3% | |
| 33 | ZHAI Alex | - | - | 1% | 8% | 34% | 48% | 10% |
| 34 | DENG Jonathan | - | 2% | 18% | 40% | 31% | 8% | 1% |
| 35 | ZHAO David | - | 1% | 7% | 22% | 35% | 27% | 8% |
| 36 | ZHENG Lerui | - | - | 1% | 7% | 28% | 47% | 17% |
| 37 | HUDSON Jedidiah | 3% | 17% | 34% | 31% | 13% | 2% | - |
| 38 | LIU Bradley | 1% | 7% | 25% | 40% | 25% | 2% | |
| 39 | ZHANG Aaron | - | 1% | 11% | 38% | 41% | 9% | |
| 40 | TIAN Andy | - | 1% | 8% | 27% | 39% | 22% | 3% |
| 41 | KIAYIAS Anthony | - | - | 3% | 18% | 40% | 34% | 5% |
| 41 | VENAFRO Tristan | - | - | 1% | 8% | 32% | 48% | 12% |
| 43 | WANG Jaaziel | - | 1% | 10% | 31% | 40% | 17% | 1% |
| 44 | ZHONG Kingsley | - | 3% | 17% | 35% | 32% | 12% | 1% |
| 45 | WILSON Jacob | - | 2% | 12% | 30% | 34% | 18% | 4% |
| 46 | CHEN Keegan | - | 3% | 17% | 40% | 32% | 8% | - |
| 47 | HUANG Dalynn | - | 1% | 7% | 27% | 45% | 21% | |
| 48 | CORCOS Joseph-Georges | 1% | 12% | 32% | 36% | 16% | 3% | |
| 49 | LI Andrew | 1% | 7% | 28% | 39% | 22% | 4% | |
| 50 | CAO Aaron | - | - | 4% | 18% | 39% | 32% | 6% |
| 51 | LIN Tyler | 4% | 25% | 42% | 23% | 5% | - | - |
| 52 | TARDIFF Owen | 2% | 14% | 35% | 36% | 13% | 1% | |
| 53 | XIA Vincent | - | 2% | 11% | 29% | 36% | 20% | 3% |
| 54 | CHONG Cooper | - | 7% | 31% | 40% | 19% | 3% | - |
| 55 | CREMEL Remi | - | 1% | 5% | 21% | 40% | 30% | 3% |
| 56 | YU Adam | 4% | 24% | 42% | 26% | 4% | ||
| 57 | XU ETHAN | - | 2% | 13% | 37% | 36% | 11% | 1% |
| 58 | LIN George | - | 7% | 24% | 35% | 25% | 8% | 1% |
| 59 | YANG Luca | - | 5% | 23% | 37% | 26% | 8% | 1% |
| 60 | MACKENZIE Dylan | 6% | 24% | 36% | 25% | 8% | 1% | - |
| 61 | JIANG Ethan | 5% | 33% | 47% | 14% | 1% | ||
| 62 | CASCONE Raffaele | - | 5% | 24% | 37% | 25% | 7% | 1% |
| 63 | LI Eric | 6% | 26% | 37% | 24% | 6% | 1% | - |
| 64 | HUANG Lucas | - | - | 5% | 27% | 44% | 22% | 2% |
| 65 | HAN Jiaren | - | 4% | 21% | 43% | 29% | 4% | |
| 66 | WU Max | 1% | 11% | 33% | 38% | 15% | 2% | |
| 67 | PINTOLE Anthony | 3% | 18% | 41% | 33% | 6% | ||
| 68 | MOON Nolan | - | 1% | 7% | 34% | 41% | 16% | 1% |
| 69 | MENG Andy | 4% | 32% | 44% | 18% | 2% | - | |
| 70 | LU Ethan | 4% | 22% | 39% | 28% | 7% | - | |
| 71 | ZHANG William | - | 4% | 18% | 34% | 30% | 13% | 2% |
| 72 | HUA Isaac | 1% | 5% | 21% | 36% | 29% | 8% | - |
| 73 | LIU KUNDE | 11% | 31% | 34% | 18% | 5% | - | - |
| 74 | YIN Luke | 4% | 19% | 36% | 29% | 11% | 1% | - |
| 74 | SHEN Lucas | - | 5% | 20% | 36% | 28% | 9% | 1% |
| 76 | FOO Kingston | - | 3% | 14% | 31% | 35% | 16% | 1% |
| 77 | LIU Mason | 1% | 12% | 30% | 34% | 18% | 5% | - |
| 78 | XIA Wenhao | 1% | 9% | 27% | 37% | 22% | 5% | - |
| 79 | DING Jacob | 4% | 33% | 44% | 17% | 2% | - | |
| 80 | SAVIR Ethan | 4% | 29% | 40% | 22% | 5% | - | - |
| 81 | YU Ethan | - | 2% | 12% | 31% | 37% | 16% | 2% |
| 81 | LIU Max | 13% | 36% | 34% | 14% | 3% | - | - |
| 83 | BUCHNER Roland | 2% | 12% | 31% | 34% | 17% | 4% | - |
| 84 | HUYNH Kaleb | - | 3% | 21% | 52% | 24% | ||
| 85 | YOON Mason | 1% | 12% | 34% | 36% | 15% | 2% | |
| 86 | ZUO Yizhi | 22% | 42% | 28% | 8% | 1% | - | |
| 87 | GOLDSTEIN Tate | 10% | 46% | 37% | 7% | - | ||
| 87 | LIN Alexander | 22% | 45% | 27% | 6% | 1% | - | |
| 89 | WU Yulen | 3% | 17% | 37% | 32% | 11% | 1% | |
| 90 | LIU Brady | 8% | 34% | 39% | 17% | 3% | - | |
| 91 | PU Yikun | - | 7% | 27% | 39% | 22% | 5% | - |
| 92 | AMR HOSSNY Adam | - | 2% | 12% | 30% | 34% | 18% | 4% |
| 93 | HUANG Owen | - | 3% | 16% | 32% | 31% | 14% | 2% |
| 94 | GUTKOVSKIY Ryan | 5% | 22% | 35% | 27% | 10% | 1% | - |
| 95 | MOORE Quinn | 1% | 10% | 29% | 34% | 20% | 6% | 1% |
| 96 | BROD Baylin | 19% | 39% | 29% | 10% | 2% | - | - |
| 97 | POLEBOYINA Aarav | 29% | 48% | 21% | 3% | - | - | - |
| 98 | XU Jonathan | 6% | 28% | 39% | 22% | 5% | - | |
| 99 | NAYAK Saideep | 43% | 44% | 12% | 1% | - | - | - |
| 100 | HE Ryan | 1% | 10% | 36% | 37% | 14% | 2% | - |
| 101 | STABROWSKI Joaquin | 6% | 24% | 35% | 25% | 9% | 1% | - |
| 102 | KUTATELADZE Danieli | 4% | 20% | 35% | 29% | 11% | 1% | - |
| 103 | LIU KELVIN | 31% | 50% | 16% | 2% | - | - | - |
| 104 | LI Ethan | 39% | 42% | 16% | 3% | - | - | |
| 105 | NATURMAN Noah | 2% | 18% | 38% | 31% | 10% | 1% | - |
| 105 | FAN Oscar | 7% | 33% | 44% | 14% | 2% | - | - |
| 107 | KIM Marcus | 27% | 45% | 24% | 5% | - | ||
| 108 | HAN Jayden | 5% | 24% | 42% | 24% | 5% | - | |
| 109 | DUAN EDWIN | 3% | 22% | 40% | 27% | 7% | 1% | |
| 110 | CHANG Joshua | 29% | 45% | 22% | 4% | - | - | |
| 111 | XU Jaden | 26% | 46% | 23% | 5% | - | - | |
| 112 | CHAN Cosmos HH | - | 3% | 14% | 30% | 32% | 17% | 3% |
| 113 | WU Connor | 12% | 33% | 34% | 17% | 4% | - | - |
| 114 | AN Jacob | 12% | 34% | 35% | 16% | 3% | - | - |
| 115 | JAZWINSKI Archer | 24% | 44% | 24% | 6% | 1% | - | - |
| 116 | MENZEL Lucas | - | 5% | 25% | 41% | 24% | 5% | - |
| 117 | MOSAMEH Faraj | 13% | 36% | 34% | 14% | 3% | - | - |
| 118 | CREMEL Louis | 39% | 46% | 13% | 2% | - | - | - |
| 119 | FANG Ryan | 14% | 38% | 33% | 12% | 2% | - | - |
| 120 | CHUNG Royce | 2% | 31% | 40% | 21% | 5% | - | - |
| 121 | KANAN Noland | - | 2% | 17% | 39% | 32% | 8% | 1% |
| 122 | LEE Ryan | 30% | 46% | 20% | 4% | - | - | |
| 123 | CAI Charlie | 20% | 44% | 29% | 6% | - | ||
| 124 | LIN Alex | 51% | 38% | 10% | 1% | - | - | |
| 125 | TANG QIXING Missing ID | |||||||
| 126 | GENG Vincent | 3% | 15% | 32% | 33% | 15% | 3% | - |
| 127 | HO Marcus | 3% | 16% | 33% | 31% | 14% | 2% | - |
| 128 | ENOIU Ethan | 85% | 14% | 1% | - | - | - | - |
| 129 | SUN Neil | 27% | 52% | 19% | 3% | - | - | - |
| 130 | KIM Rowan | 72% | 25% | 3% | - | - | - | |
| 131 | AWALGAONKAR Aahan | 33% | 45% | 18% | 3% | - | - | - |
| 132 | LEONG Michael | 23% | 43% | 26% | 7% | 1% | - | |
| 133 | AN Graham | 31% | 43% | 21% | 5% | 1% | - | - |
| 134 | MATIYASH Andrew | 21% | 45% | 27% | 6% | - | - | - |
| 135 | CHAN Theo | 62% | 33% | 5% | - | - | ||
| 136 | RICE Henry | 30% | 48% | 20% | 2% | - | - | - |
| 137 | ZHANG Andrew | 30% | 45% | 21% | 4% | - | - | - |
| 138 | MA Leo Missing ID | |||||||
| 138 | HWANG Samuel | 66% | 29% | 5% | - | - | - | - |
| 140 | CHEN Aidan | 67% | 29% | 4% | - | - | - | - |
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.