Secaucus, NJ - 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 | CHAN Matthew | - | 1% | 4% | 16% | 32% | 33% | 14% |
| 2 | JI Cody Walter | - | - | - | 2% | 15% | 41% | 42% |
| 3 | MAKLIN Edward P. | - | 1% | 7% | 22% | 35% | 27% | 8% |
| 3 | MORRILL William | - | - | 1% | 7% | 27% | 44% | 22% |
| 5 | WILSON Jude | - | - | 2% | 11% | 31% | 38% | 18% |
| 6 | SHOMAN Zachary | - | 2% | 12% | 32% | 37% | 17% | |
| 7 | HUANG Ethan F. | - | 3% | 13% | 30% | 33% | 17% | 3% |
| 8 | SAGARDI David | - | 5% | 18% | 32% | 29% | 13% | 2% |
| 9 | CHON Taylor A. | - | 3% | 17% | 37% | 33% | 10% | |
| 10 | YUN Jake | - | - | 4% | 17% | 34% | 32% | 11% |
| 11 | LEE Justin | - | 7% | 24% | 34% | 24% | 8% | 1% |
| 12 | FENG Leo | - | - | 1% | 6% | 25% | 45% | 24% |
| 13 | SHOMAN Noah | - | - | 4% | 16% | 33% | 34% | 13% |
| 14 | SHIRPAL Oleksandr | - | 1% | 9% | 28% | 40% | 21% | |
| 15 | LUTHRA Arjun | - | - | 4% | 18% | 36% | 31% | 10% |
| 16 | MALONE Gregory D. | - | 1% | 12% | 36% | 38% | 13% | |
| 17 | FIELDS Matthew S. | 1% | 11% | 35% | 38% | 14% | 1% | |
| 18 | ZHANG Ethan W. | 1% | 9% | 29% | 37% | 20% | 4% | |
| 19 | HUANG Maxwell H. | - | 1% | 6% | 26% | 40% | 23% | 4% |
| 20 | TURCK Caspar J. | - | 2% | 12% | 32% | 35% | 17% | 3% |
| 21 | HONG Steven | 1% | 10% | 28% | 36% | 21% | 4% | |
| 22 | KIM Shaun M. | - | - | 1% | 9% | 35% | 55% | |
| 23 | KOVACH Jonah F. | - | - | 4% | 17% | 35% | 33% | 10% |
| 24 | VARUKATTY-GAFOOR Sohil | - | 3% | 12% | 28% | 34% | 19% | 3% |
| 25 | DENG Andrew | - | 4% | 19% | 35% | 29% | 10% | 1% |
| 26 | ZHANG Jeffrey | - | 2% | 13% | 32% | 34% | 16% | 3% |
| 27 | WAXLER Seth B. | 1% | 6% | 21% | 33% | 27% | 11% | 2% |
| 28 | MCCARTHY Gabriel | 4% | 19% | 35% | 29% | 11% | 2% | - |
| 29 | NOURELDIN Gabriel | - | 1% | 8% | 25% | 37% | 24% | 6% |
| 30 | HUANG Alexander C. | - | 2% | 12% | 33% | 39% | 14% | |
| 31 | CLARK Gabriel | 1% | 9% | 25% | 35% | 23% | 6% | |
| 32 | SHTEIN Yan | - | - | 3% | 13% | 32% | 36% | 16% |
| 33 | REN James | 1% | 13% | 35% | 35% | 14% | 2% | |
| 34 | LEE Aydan J. | - | 2% | 13% | 36% | 36% | 12% | 1% |
| 35 | CHTERENTAL Alex | 1% | 9% | 28% | 39% | 21% | 3% | |
| 36 | NAZLYMOV Andrei | - | 4% | 17% | 35% | 32% | 11% | |
| 37 | GILSON Lucas B. | 2% | 14% | 30% | 32% | 17% | 5% | 1% |
| 38 | WEBER Mattias A. | - | 2% | 10% | 27% | 36% | 22% | 5% |
| 39 | HOPPA Luke H. | 1% | 9% | 26% | 34% | 23% | 7% | 1% |
| 39 | WANG Robert | - | 4% | 19% | 35% | 29% | 10% | 1% |
| 41 | SHIPITSIN Alexander | - | 1% | 8% | 23% | 34% | 25% | 7% |
| 42 | BROU Inkosi | 3% | 18% | 34% | 30% | 12% | 3% | - |
| 43 | PENG Bryan | 1% | 8% | 26% | 36% | 23% | 6% | 1% |
| 44 | SULLIVAN Aidan J. | 6% | 23% | 34% | 25% | 10% | 2% | - |
| 45 | ZHENG Edward L. | - | 7% | 30% | 45% | 17% | 1% | |
| 46 | WU Richard | 24% | 46% | 24% | 5% | - | - | |
| 47 | CHENG Cody | 17% | 38% | 31% | 12% | 2% | - | |
| 48 | BONIFIELD Arthur G. | - | 1% | 11% | 34% | 39% | 15% | |
| 49 | ZHAO Lucas | - | - | 2% | 10% | 30% | 39% | 18% |
| 50 | OH Triton | 5% | 22% | 35% | 27% | 10% | 2% | - |
| 51 | LEONARD Charles | - | 1% | 5% | 20% | 38% | 31% | 6% |
| 52 | CHUANG Tristan | 2% | 14% | 32% | 33% | 16% | 3% | - |
| 53 | LEE Derek J. | 5% | 22% | 36% | 26% | 9% | 1% | - |
| 54 | LIN Steve | 1% | 12% | 31% | 34% | 17% | 4% | - |
| 55 | CHO Winston | 2% | 12% | 31% | 35% | 18% | 3% | |
| 56 | DOWNEY Baran | 1% | 16% | 38% | 33% | 10% | 1% | |
| 57 | ZHANG Derek | 26% | 45% | 23% | 5% | 1% | - | |
| 58 | ZENG Noah | 21% | 44% | 28% | 6% | - | - | |
| 59 | HUNG Samuel | - | - | 3% | 20% | 46% | 30% | |
| 60 | KESSLER Nathan | 5% | 22% | 36% | 27% | 9% | 1% | |
| 61 | ALTIRS Giorgio | 2% | 14% | 34% | 35% | 14% | 1% | |
| 62 | BAE Jason I. | 1% | 9% | 29% | 37% | 20% | 4% | |
| 63 | HUANG Alex F. | - | - | 1% | 7% | 25% | 42% | 25% |
| 64 | GIZERSKY Jared | 6% | 23% | 34% | 25% | 10% | 2% | - |
| 65 | ANAND Sahil Z. | 3% | 17% | 35% | 31% | 12% | 2% | |
| 66 | LIN Philip T. | 2% | 16% | 35% | 32% | 13% | 2% | |
| 67 | CHICA - HERRERA Brian | 8% | 26% | 34% | 22% | 8% | 1% | - |
| 68 | SAVOY Luca | 12% | 33% | 34% | 17% | 4% | - | - |
| 69 | WEIL Asher D. | 5% | 25% | 40% | 23% | 6% | 1% | - |
| 70 | FLITSANOV Macabee | - | 2% | 11% | 29% | 35% | 19% | 4% |
| 71 | PARKER Benjamin D. | 29% | 41% | 23% | 6% | 1% | - | - |
| 72 | SHINCHUK Daniel | - | 2% | 13% | 32% | 35% | 16% | 2% |
| 73 | DENBROEDER Ronald (Mackie) | 2% | 13% | 33% | 34% | 15% | 3% | - |
| 74 | CHO Blake | - | 5% | 20% | 37% | 29% | 8% | 1% |
| 75 | YU Thomas | 36% | 41% | 18% | 4% | - | - | - |
| 76 | GUREVICH Savely | 32% | 45% | 20% | 4% | - | - | - |
| 77 | LUCAS Hayden | 4% | 22% | 39% | 27% | 7% | 1% | |
| 78 | SHU Tony | - | 1% | 7% | 28% | 43% | 22% | |
| 79 | WASSERMAN Aiden | 24% | 43% | 26% | 7% | 1% | - | |
| 80 | YAO Kevin | 4% | 19% | 35% | 29% | 11% | 1% | |
| 81 | HALTON Mateo F. | 7% | 25% | 34% | 24% | 9% | 2% | - |
| 82 | ONG Chinli | 3% | 16% | 32% | 31% | 15% | 3% | - |
| 83 | KUSHKOV Daniel | - | 1% | 7% | 26% | 38% | 24% | 5% |
| 84 | GONG Zihao | 5% | 22% | 35% | 26% | 10% | 2% | - |
| 85 | MANGAN Daniel Marsh | 37% | 46% | 15% | 2% | - | - | - |
| 86 | LIN Hadrian | 17% | 37% | 31% | 12% | 2% | - | |
| 87 | MARGULIS Jared | 15% | 42% | 34% | 8% | 1% | - | - |
| 88 | GONG Ziqian | < 1% | 5% | 19% | 33% | 29% | 12% | 2% |
| 89 | CHENG Hong | 12% | 36% | 36% | 14% | 2% | - | |
| 90 | MATTOO Surya | 9% | 31% | 37% | 19% | 4% | - | - |
| 91 | JOSEF Asher | 10% | 30% | 36% | 19% | 5% | - | |
| 92 | CHANG Yuyang | 28% | 48% | 20% | 4% | - | - | |
| 93 | PENG Victor | 10% | 37% | 39% | 13% | 2% | - | - |
| 94 | GREENBAUM Max B. | 45% | 47% | 8% | - | - | - | |
| 95 | MATTOO Deven | 16% | 40% | 31% | 11% | 2% | - | - |
| 96 | TANG Charles | 13% | 35% | 34% | 15% | 3% | - | - |
| 96 | FTAIHA Ezra | 16% | 40% | 31% | 11% | 2% | - | - |
| 98 | WITCZAK Mateus | 2% | 14% | 32% | 33% | 16% | 3% | - |
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.