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 | LEE Anton | - | - | 2% | 15% | 43% | 39% | |
| 2 | CHANEY Charles | - | - | 3% | 14% | 33% | 36% | 14% |
| 3 | SINGLETON Aman | - | - | 1% | 5% | 22% | 42% | 29% |
| 3 | CHEN Tianjun | 1% | 6% | 23% | 39% | 27% | 5% | |
| 5 | CHO Alex | - | - | 4% | 16% | 35% | 34% | 11% |
| 6 | GUMEDELLI Mohnish | - | - | - | 3% | 16% | 41% | 39% |
| 7 | KIM Gene | - | - | 1% | 10% | 38% | 50% | |
| 8 | ZHANG jonathan | - | 2% | 10% | 29% | 37% | 19% | 3% |
| 9 | KHALIL Younis | - | - | 4% | 19% | 42% | 35% | |
| 10 | THOMAS Andrew | 3% | 16% | 34% | 32% | 14% | 2% | - |
| 11 | ZHANG Marcus Xuanwei | - | 1% | 5% | 21% | 36% | 29% | 8% |
| 12 | GOVOROV Alexander | - | 6% | 24% | 41% | 25% | 4% | |
| 13 | PARKE Nathaniel | - | 1% | 6% | 19% | 34% | 30% | 11% |
| 14 | O'LONGAIGH Sunkhar | - | - | 3% | 17% | 43% | 30% | 6% |
| 15 | CHOU-ESTEBAN Pau | - | 1% | 8% | 22% | 34% | 26% | 8% |
| 16 | CHEN Evan | 3% | 19% | 36% | 30% | 11% | 1% | |
| 17 | CHEN Jayden | - | - | 2% | 10% | 31% | 40% | 17% |
| 18 | BHANDARE Veer | 3% | 15% | 30% | 31% | 16% | 4% | - |
| 19 | LEE Aiden | - | - | - | 4% | 23% | 46% | 27% |
| 20 | KOGAN Yelisey L. | - | 1% | 10% | 28% | 37% | 21% | 3% |
| 21 | LUO Alexander | - | 3% | 14% | 33% | 36% | 14% | |
| 22 | VAN RIET Stefan | 2% | 15% | 35% | 34% | 13% | 1% | |
| 23 | SOLARZ Arthur | - | 2% | 11% | 31% | 39% | 18% | |
| 24 | SONG Changze | 1% | 8% | 24% | 35% | 25% | 7% | |
| 25 | ZHANG Jonathan | - | 1% | 6% | 23% | 39% | 27% | 4% |
| 26 | WANG Eason | - | 6% | 23% | 36% | 26% | 8% | 1% |
| 27 | GRIGORENKO Gleb E. | 1% | 10% | 29% | 36% | 20% | 5% | - |
| 28 | HELMY Richard | - | 1% | 5% | 20% | 36% | 30% | 9% |
| 29 | GUNDUBOGULA Saket | - | 3% | 13% | 30% | 34% | 17% | 3% |
| 30 | MOSLEY Wally | - | 3% | 13% | 30% | 33% | 18% | 4% |
| 31 | ZHANG Chaoyi（Joey） | 4% | 20% | 33% | 28% | 12% | 3% | - |
| 32 | CHEN Zhengyang (Allen) | - | - | - | < 1% | 5% | 30% | 65% |
| 33 | TOWNSHEND Connor | - | - | 3% | 15% | 33% | 35% | 14% |
| 34 | CHO Adrian | 1% | 12% | 36% | 37% | 12% | 1% | < 1% |
| 35 | KIM Henry | - | - | - | 1% | 8% | 34% | 57% |
| 36 | SUH Aiden | - | 3% | 14% | 34% | 36% | 13% | |
| 37 | LAU LUCAS | 1% | 8% | 26% | 37% | 23% | 5% | |
| 38 | ZHENG Jason | 1% | 7% | 25% | 37% | 23% | 6% | 1% |
| 39 | LI Terence | - | 3% | 16% | 33% | 32% | 14% | 2% |
| 40 | LIU Austin | - | 5% | 20% | 35% | 29% | 10% | 1% |
| 41 | YI Nathan | - | - | 1% | 7% | 26% | 42% | 24% |
| 42 | NOOL Alexander | - | 3% | 15% | 33% | 33% | 14% | 1% |
| 43 | TANG Michael | 4% | 19% | 33% | 29% | 12% | 2% | |
| 44 | TSIEN Richard | 3% | 18% | 35% | 31% | 12% | 1% | |
| 45 | MOZZER Nolan | 11% | 32% | 35% | 17% | 4% | - | |
| 46 | CHANG Matthew | 2% | 16% | 35% | 33% | 13% | 1% | |
| 47 | NG Nico | - | 1% | 10% | 33% | 41% | 14% | |
| 48 | WANG Marcus | - | 5% | 19% | 37% | 31% | 8% | |
| 49 | DODIN Daniel M. | - | 2% | 13% | 32% | 37% | 16% | |
| 50 | WU Matthew | - | 1% | 9% | 27% | 37% | 21% | 4% |
| 51 | MIKHAIL Lucas | - | 1% | 6% | 23% | 38% | 27% | 6% |
| 52 | QU RuiTing | 1% | 9% | 27% | 34% | 21% | 6% | 1% |
| 53 | CAMP Ethan | - | - | - | 4% | 23% | 46% | 26% |
| 54 | HENNESSY Levon | - | 1% | 6% | 21% | 35% | 28% | 8% |
| 55 | BENNETT Nathaniel | 2% | 14% | 34% | 33% | 14% | 3% | - |
| 55 | CHEN Cameron | - | 4% | 17% | 32% | 30% | 13% | 2% |
| 57 | BORAN Brooks | 9% | 30% | 36% | 20% | 5% | - | |
| 58 | KATS Brandon | 7% | 24% | 35% | 25% | 9% | 1% | |
| 59 | LYCHKO Maksym | 1% | 10% | 28% | 36% | 21% | 4% | |
| 60 | BAYUS Oliver | 2% | 15% | 34% | 32% | 14% | 3% | - |
| 61 | WANG Marcus | 4% | 20% | 37% | 28% | 10% | 2% | - |
| 62 | THOMAS Ethan | 20% | 40% | 29% | 10% | 1% | - | |
| 63 | LEE Ryan | 43% | 41% | 14% | 2% | - | - | - |
| 64 | ROFINO Samuel | 10% | 35% | 36% | 15% | 3% | - | - |
| 65 | LEE Henry | 1% | 8% | 23% | 33% | 25% | 9% | 1% |
| 66 | CZEPLA Andrew | 6% | 23% | 35% | 25% | 9% | 1% | |
| 67 | GIMBRERE Alexandre | 24% | 43% | 26% | 6% | 1% | - | |
| 68 | QI Bryan | 6% | 30% | 38% | 20% | 5% | 1% | - |
| 69 | KIM Julian | 2% | 12% | 30% | 34% | 18% | 4% | - |
| 70 | CUELLAR Markus | 2% | 12% | 29% | 34% | 19% | 4% | |
| 71 | MEDISETTI Arjun | 11% | 34% | 35% | 16% | 3% | - | |
| 72 | DANG William | 3% | 16% | 34% | 31% | 14% | 3% | - |
| 73 | LEE Leo | 2% | 17% | 40% | 31% | 8% | 1% | - |
| 74 | AU Joshua | 4% | 22% | 38% | 27% | 9% | 1% | - |
| 75 | WEISELBERG Mark | 15% | 36% | 32% | 13% | 3% | - | - |
| 76 | MAXWELL Sheito | 5% | 23% | 36% | 26% | 9% | 1% | - |
| 77 | ZHANG Shuhao | 30% | 42% | 22% | 6% | 1% | - | - |
| 78 | JIANG Aidan | 36% | 42% | 18% | 3% | - | - | - |
| 79 | GAO Ryan | 10% | 31% | 36% | 19% | 4% | - | |
| 80 | TANG Colin | 15% | 38% | 33% | 12% | 2% | - | |
| 81 | HONG Ethen | 13% | 37% | 35% | 13% | 2% | - | |
| 82 | YAO Ryan | 11% | 32% | 35% | 17% | 4% | - | |
| 83 | CHEN Aiden | 3% | 18% | 36% | 30% | 11% | 2% | |
| 84 | TOPRANI Valmik | 22% | 41% | 28% | 8% | 1% | - | |
| 85 | KROPP Wesley | 1% | 9% | 26% | 35% | 23% | 6% | |
| 86 | CHALLAMEL Hadrien | 1% | 14% | 33% | 33% | 16% | 3% | - |
| 87 | KIM Doyun | 2% | 13% | 32% | 33% | 16% | 3% | - |
| 88 | WELCH Sebastian | 28% | 46% | 22% | 4% | - | - | - |
| 89 | LIU George | 18% | 36% | 30% | 13% | 3% | - | - |
| 90 | CHEN Jayden | 19% | 40% | 29% | 10% | 2% | - | - |
| 91 | KIM Louie | 20% | 41% | 28% | 9% | 2% | - | - |
| 91 | YAZDANFAR Marius | 6% | 29% | 39% | 20% | 5% | - | - |
| 93 | YANG Junhu | 27% | 42% | 24% | 6% | 1% | - | |
| 94 | ZHU Brady | 12% | 36% | 36% | 13% | 2% | - | |
| 95 | DUNCAN John | 50% | 38% | 11% | 1% | - | - | - |
| 96 | FRIZZELL Kai | 16% | 37% | 32% | 13% | 2% | - | - |
| 97 | CARPENTER Touma S. | < 1% | 5% | 17% | 31% | 30% | 14% | 3% |
| 98 | ZHENG Yicheng Will | 26% | 46% | 24% | 5% | - | - | - |
| 99 | O'BRIEN Michael | 63% | 31% | 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.