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 | KIM Gene | - | - | - | - | 2% | 20% | 78% |
| 2 | DODIN Daniel M. | - | - | - | 1% | 10% | 37% | 52% |
| 3 | BHANDARE Veer | 1% | 9% | 25% | 33% | 23% | 8% | 1% |
| 3 | TANG Michael | - | - | - | 3% | 17% | 41% | 38% |
| 5 | MOSTOVOY philip | - | - | - | 2% | 12% | 40% | 46% |
| 6 | CHANG Matthew | - | - | 1% | 8% | 25% | 40% | 25% |
| 7 | MIDYANY Ryan | - | - | - | 3% | 16% | 40% | 40% |
| 8 | ZHANG jonathan | - | - | - | 5% | 23% | 45% | 27% |
| 9 | YAO Aiden | - | 3% | 13% | 29% | 34% | 18% | 3% |
| 10 | KHERSONSKY Robert | - | 2% | 13% | 35% | 38% | 11% | |
| 11 | KATS Brandon | - | - | 1% | 9% | 28% | 40% | 21% |
| 12 | LIU Andrew | - | - | - | 4% | 21% | 46% | 29% |
| 13 | WU Matthew | - | 2% | 10% | 26% | 33% | 22% | 6% |
| 14 | MEDISETTI Arjun | - | 3% | 14% | 31% | 33% | 16% | 2% |
| 15 | YAO Tristan | - | 1% | 6% | 23% | 39% | 27% | 5% |
| 16 | RICHARDSON Matthew | 16% | 36% | 32% | 14% | 3% | - | - |
| 17 | KROPP Wesley | - | - | 2% | 12% | 29% | 37% | 19% |
| 18 | LUO Alexander | - | - | - | 1% | 8% | 34% | 58% |
| 19 | ZHANG Chaoyi（Joey） | - | 1% | 5% | 21% | 39% | 28% | 6% |
| 20 | CHEN Jayden A | 5% | 23% | 38% | 26% | 7% | 1% | - |
| 21 | CHIANG William | - | 2% | 13% | 31% | 35% | 17% | 2% |
| 22 | ARMSTRONG Payson | - | - | 4% | 17% | 34% | 33% | 12% |
| 23 | WU MiEr | 1% | 5% | 18% | 32% | 29% | 13% | 2% |
| 24 | MIKHAIL Lucas | - | - | 2% | 14% | 41% | 42% | |
| 25 | ZHOU Zhi Matthew | - | 1% | 7% | 24% | 36% | 26% | 6% |
| 26 | CHEN Evan | - | 5% | 17% | 31% | 30% | 14% | 3% |
| 27 | DING Max | - | 2% | 11% | 27% | 34% | 21% | 5% |
| 28 | YAKHNIS Seth | - | 1% | 6% | 21% | 35% | 28% | 9% |
| 29 | KIM Julian | - | - | - | 3% | 19% | 44% | 34% |
| 30 | DAI Jason | - | 4% | 16% | 32% | 32% | 14% | 2% |
| 31 | CHO Adrian | 1% | 10% | 27% | 34% | 21% | 6% | 1% |
| 32 | BORAN Brooks | - | 4% | 16% | 30% | 31% | 16% | 3% |
| 33 | KIM Louie | 7% | 26% | 37% | 23% | 6% | 1% | - |
| 34 | MOSLEY Wally | - | - | 1% | 8% | 27% | 41% | 22% |
| 35 | VASILEV Victor | - | - | 4% | 16% | 35% | 34% | 12% |
| 36 | DANG William | - | 1% | 5% | 21% | 39% | 28% | 6% |
| 37 | MA Nolan | - | 1% | 5% | 18% | 34% | 31% | 11% |
| 38 | FRIZZELL Kai | - | 1% | 6% | 22% | 37% | 28% | 6% |
| 39 | WU Jiachen | - | 3% | 15% | 33% | 32% | 14% | 2% |
| 40 | YUE Bryan | - | 3% | 12% | 28% | 33% | 19% | 4% |
| 41 | LAI Jayden | 1% | 7% | 21% | 33% | 26% | 10% | 1% |
| 42 | KIM Doyun | - | 5% | 20% | 36% | 29% | 9% | - |
| 43 | LI Nolan | 1% | 16% | 35% | 32% | 14% | 3% | - |
| 44 | YOON Ian | 26% | 40% | 25% | 7% | 1% | - | - |
| 45 | ZHENG Jasper | 1% | 10% | 28% | 34% | 21% | 5% | - |
| 46 | CHEN Daniel | - | 1% | 9% | 26% | 36% | 23% | 6% |
| 47 | ZHOU Luke | - | 1% | 8% | 25% | 36% | 24% | 6% |
| 48 | HONG Ethen | 1% | 9% | 28% | 37% | 21% | 5% | - |
| 49 | CAMP William | 2% | 15% | 35% | 33% | 13% | 2% | |
| 50 | TOPRANI Valmik | - | 1% | 7% | 22% | 36% | 27% | 8% |
| 51 | TANG Colin | - | 4% | 17% | 31% | 30% | 14% | 3% |
| 51 | GUJJA Rishabh | - | 4% | 17% | 34% | 32% | 11% | 1% |
| 53 | ZINCHUK Yuri | 1% | 7% | 24% | 34% | 24% | 8% | 1% |
| 54 | ZHENG Jason | - | 3% | 16% | 34% | 33% | 13% | 1% |
| 55 | YAO Ryan | - | - | 2% | 11% | 34% | 40% | 14% |
| 56 | ZHANG Jayden | 5% | 30% | 38% | 21% | 6% | 1% | - |
| 57 | MADRIGAL SALVAT Guillermo | - | 3% | 14% | 29% | 32% | 18% | 4% |
| 58 | WONG Kyle | 1% | 6% | 20% | 32% | 28% | 12% | 2% |
| 59 | LEE Joshua | - | 3% | 15% | 31% | 33% | 16% | 2% |
| 60 | ZHAO Brandon | 3% | 16% | 32% | 30% | 15% | 4% | - |
| 60 | LANE Sawyer | 6% | 28% | 38% | 21% | 5% | 1% | - |
| 62 | QI Bryan | 25% | 40% | 26% | 8% | 2% | - | - |
| 63 | SHAO Mason | 6% | 26% | 38% | 24% | 6% | - | |
| 64 | SHI Peyton | 7% | 27% | 37% | 23% | 6% | 1% | - |
| 65 | KIM Daniel | 2% | 16% | 34% | 31% | 13% | 3% | - |
| 66 | KANG Ihan | - | 7% | 26% | 36% | 23% | 7% | 1% |
| 67 | WANG Mason | - | 5% | 20% | 35% | 28% | 10% | 1% |
| 68 | SMITH Theo | 2% | 14% | 31% | 32% | 17% | 4% | - |
| 69 | VINCENT-GRAVENHISE Malcolm | - | 4% | 18% | 35% | 31% | 11% | 1% |
| 70 | MASKIN Mikhail | - | 1% | 8% | 23% | 36% | 25% | 7% |
| 71 | MA Joseph | 2% | 13% | 29% | 32% | 19% | 5% | 1% |
| 72 | KIM Kevin | 1% | 16% | 36% | 32% | 13% | 2% | - |
| 73 | CHEN Regis | 1% | 9% | 28% | 36% | 21% | 5% | - |
| 74 | CHEN Benjamin | 1% | 9% | 29% | 35% | 20% | 5% | - |
| 75 | SON Isaac | 3% | 17% | 33% | 30% | 13% | 3% | - |
| 76 | IMBERG Matthew | 1% | 5% | 20% | 34% | 29% | 10% | 1% |
| 77 | SHI Evan | 6% | 26% | 37% | 23% | 7% | 1% | - |
| 78 | ZHOU Silvan | 15% | 36% | 32% | 14% | 3% | - | - |
| 79 | HAM Ian | 2% | 12% | 30% | 33% | 18% | 4% | - |
| 80 | CAVALLARO Sebastian | 3% | 16% | 33% | 31% | 14% | 3% | - |
| 81 | SHAPIRO Samuel | - | 3% | 15% | 33% | 33% | 14% | 2% |
| 82 | NOVAK Luke | 10% | 33% | 35% | 17% | 4% | - | - |
| 83 | TANG Jake | 8% | 29% | 37% | 20% | 5% | - | - |
| 84 | XIE Vasco | 18% | 36% | 30% | 13% | 3% | - | - |
| 85 | KESELMAN Ron | 7% | 26% | 36% | 23% | 7% | 1% | - |
| 86 | BURT Jonathan Parker | 18% | 39% | 31% | 10% | 1% | - | - |
| 87 | YOU Emmanuel | 12% | 35% | 35% | 15% | 2% | - | |
| 88 | LI Kingston | 20% | 40% | 29% | 9% | 1% | - | |
| 89 | GUO Jonathan | - | 6% | 23% | 36% | 25% | 8% | 1% |
| 90 | YAO Irvine | 8% | 28% | 37% | 21% | 5% | 1% | - |
| 91 | GAO Guanyi (Jonathan) | - | 4% | 18% | 35% | 30% | 11% | 1% |
| 92 | THOMAS Andrew | 2% | 12% | 27% | 32% | 20% | 6% | 1% |
| 93 | YU George | 9% | 34% | 36% | 17% | 4% | - | - |
| 94 | SCHLUBACH Jasper | 16% | 37% | 31% | 13% | 3% | - | - |
| 94 | TANG Luke | 3% | 16% | 31% | 31% | 16% | 4% | - |
| 96 | YOON Jonathan | 2% | 13% | 32% | 34% | 15% | 3% | - |
| 97 | SCOGGIN Charles | 20% | 40% | 29% | 10% | 1% | - | - |
| 98 | O'BRIEN Michael | 6% | 23% | 35% | 25% | 9% | 2% | - |
| 99 | OH Ted | 4% | 23% | 39% | 26% | 8% | 1% | - |
| 100 | ADDYSON Evan | 23% | 40% | 27% | 9% | 1% | - | - |
| 101 | NOOL Aaron | 3% | 15% | 31% | 31% | 16% | 4% | - |
| 102 | YAN Milan | 29% | 40% | 23% | 7% | 1% | - | - |
| 102 | JIN Noah | 37% | 43% | 17% | 3% | - | - | - |
| 104 | LEE Zeo | 71% | 25% | 3% | - | - | - | - |
| 105 | ZOU Grant | 2% | 12% | 28% | 32% | 19% | 6% | 1% |
| 106 | MAXWELL Taiga | 4% | 20% | 35% | 28% | 11% | 2% | - |
| 107 | ZHANG Jacob | 44% | 41% | 13% | 2% | - | - | - |
| 108 | LIN Aiden | 44% | 40% | 13% | 2% | - | - | - |
| 109 | CHEN Boru | 66% | 29% | 4% | - | - | - | - |
| 109 | TAN Wyatt | 46% | 40% | 12% | 2% | - | - | - |
| 111 | XIONG Alec | 5% | 21% | 35% | 27% | 10% | 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.