Philadelphia, PA - Philadelphia, PA, 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 | TANG Alexander L. | - | - | 2% | 9% | 27% | 39% | 23% |
| 2 | GHEDINI Luca | - | 3% | 16% | 36% | 34% | 10% | |
| 3 | WU Alber Y. | - | - | 1% | 9% | 38% | 53% | |
| 3 | CHEN Kyle P. | - | - | 1% | 5% | 19% | 41% | 34% |
| 5 | ZENG Rick | - | - | 2% | 11% | 31% | 40% | 16% |
| 6 | PALMA Nathan Anthony | - | - | 1% | 6% | 24% | 43% | 26% |
| 7 | TSAY Jordan R. | - | 3% | 14% | 30% | 32% | 17% | 3% |
| 8 | GUTH Joseph | - | - | 1% | 5% | 22% | 43% | 29% |
| 9 | GULCHIN Mark | - | 1% | 10% | 34% | 41% | 14% | |
| 10 | LI Bradley | - | - | - | 5% | 23% | 45% | 26% |
| 11 | SIMONOV Timofey | - | - | 1% | 10% | 44% | 45% | |
| 12 | SENIC Lucas | - | - | - | 5% | 22% | 45% | 27% |
| 13 | WONG Jacob W. | - | - | 2% | 14% | 36% | 36% | 12% |
| 14 | CHEN Ethan | - | 1% | 8% | 28% | 37% | 21% | 4% |
| 15 | CHOI Ethan | - | 3% | 16% | 33% | 31% | 14% | 2% |
| 16 | LIU ERIC | - | 4% | 16% | 31% | 32% | 15% | 2% |
| 17 | TAN Aidan | - | - | 2% | 11% | 29% | 38% | 20% |
| 18 | VADEN Oliver | - | - | 3% | 18% | 38% | 32% | 9% |
| 19 | HUA Aaron | - | 4% | 16% | 32% | 32% | 14% | 2% |
| 20 | TANG Terry | - | - | 1% | 6% | 22% | 41% | 30% |
| 21 | HONG Logan | - | 2% | 10% | 26% | 35% | 23% | 5% |
| 22 | SHENG Dalton | - | 1% | 11% | 32% | 39% | 17% | |
| 23 | CHANG Jeremy | 4% | 26% | 40% | 23% | 6% | 1% | |
| 24 | GRIFFITH MCALLISTER thomas | - | 2% | 12% | 35% | 41% | 11% | |
| 25 | RUSSELL Paul | - | - | 2% | 11% | 31% | 39% | 16% |
| 26 | MARISI Gabriel | - | 2% | 10% | 28% | 35% | 21% | 4% |
| 27 | CHANG Eric Jonathan | 1% | 5% | 19% | 32% | 29% | 13% | 2% |
| 28 | ZHENG Marcus | - | 4% | 20% | 38% | 30% | 9% | |
| 29 | ZHAO Nathan | - | - | 3% | 19% | 44% | 34% | |
| 30 | MANIKTALA Suvir | - | 2% | 12% | 34% | 38% | 14% | |
| 31 | ELKOUSY Zain al Din | 1% | 8% | 26% | 36% | 23% | 6% | 1% |
| 32 | WEI JR Shan | 2% | 13% | 29% | 32% | 18% | 5% | - |
| 33 | MANDZY Theodor | - | - | 1% | 8% | 24% | 40% | 27% |
| 34 | XIE Jicheng | - | 3% | 14% | 31% | 33% | 16% | 3% |
| 35 | FEDELI Francesco | - | - | 3% | 18% | 42% | 36% | |
| 36 | CHOI Benjamin | - | - | 3% | 20% | 51% | 26% | |
| 37 | YUE Jackson | - | 5% | 18% | 32% | 30% | 13% | 2% |
| 38 | KAWADA Sebastien | - | 4% | 15% | 31% | 32% | 15% | 2% |
| 39 | JIN Andy | 1% | 11% | 29% | 34% | 19% | 5% | - |
| 40 | RODRIGUEZ Tyler | 1% | 6% | 21% | 33% | 27% | 10% | 1% |
| 41 | HE Ian | 35% | 46% | 17% | 2% | - | - | |
| 42 | YANG Charles | 2% | 16% | 35% | 33% | 13% | 2% | |
| 43 | O'LEARY Colin | 3% | 36% | 44% | 15% | 2% | - | |
| 44 | QIAN Zekai | 56% | 37% | 6% | < 1% | - | - | |
| 45 | YEVDAYEV Tamir | - | 4% | 16% | 32% | 31% | 15% | 3% |
| 46 | CHENG Logan | 1% | 7% | 26% | 36% | 23% | 6% | 1% |
| 47 | MO Ethan | - | 3% | 17% | 34% | 32% | 12% | 2% |
| 48 | FUKUDA Brando | - | 3% | 14% | 30% | 33% | 17% | 3% |
| 49 | DOELL Ethan | - | 4% | 19% | 39% | 30% | 8% | 1% |
| 50 | PARRISH Evan | 1% | 5% | 19% | 32% | 29% | 13% | 2% |
| 51 | ZHAO Ryan | 15% | 36% | 32% | 14% | 3% | - | - |
| 52 | ZHOU Ryan | 12% | 32% | 33% | 17% | 5% | 1% | - |
| 53 | CHEN Andrew | 1% | 6% | 23% | 37% | 26% | 6% | 1% |
| 54 | PAULUS Gregory | 20% | 44% | 28% | 7% | 1% | - | - |
| 55 | DHOKTE Neev | - | - | 2% | 10% | 28% | 39% | 21% |
| 56 | TAN Pyron | 1% | 9% | 27% | 35% | 22% | 6% | 1% |
| 57 | SHAW Spencer | 3% | 16% | 34% | 31% | 14% | 3% | - |
| 57 | NOVELL Giancarlo | - | 3% | 14% | 30% | 33% | 17% | 3% |
| 59 | POLEBOYINA Amrit | 25% | 43% | 25% | 6% | 1% | - | |
| 60 | GRIGORIEV Michael | 1% | 10% | 31% | 40% | 17% | 2% | |
| 61 | XIE Jayden | 15% | 35% | 32% | 15% | 3% | - | - |
| 62 | PARK Maxwell | 1% | 11% | 29% | 35% | 19% | 5% | - |
| 63 | XU Nathan | 2% | 10% | 27% | 33% | 21% | 6% | 1% |
| 64 | CHUANG Oscar | 2% | 15% | 32% | 32% | 15% | 3% | - |
| 65 | HUANG Jinyao | 1% | 10% | 30% | 35% | 19% | 5% | - |
| 66 | WANDJI NANA Noah | 9% | 27% | 34% | 21% | 7% | 1% | - |
| 67 | TANG Royce | 3% | 17% | 33% | 30% | 13% | 3% | - |
| 68 | BLACK Henry | 2% | 17% | 44% | 28% | 8% | 1% | - |
| 69 | LU Hansen | 6% | 29% | 38% | 21% | 5% | 1% | - |
| 70 | CHEN Hanson | - | 6% | 22% | 36% | 27% | 8% | 1% |
| 71 | ZHAO Adam | 2% | 15% | 35% | 33% | 13% | 2% | |
| 72 | CHINTE Oliver | - | 6% | 28% | 46% | 18% | 2% | |
| 73 | FINNEY Miles | 7% | 30% | 38% | 20% | 4% | - | |
| 74 | SUAREZ David | 2% | 13% | 31% | 32% | 17% | 4% | - |
| 75 | YU William | 5% | 26% | 38% | 24% | 7% | 1% | - |
| 76 | SALMAN Hamzah | - | - | 2% | 13% | 34% | 37% | 15% |
| 77 | MA Lucas | 10% | 36% | 39% | 14% | 2% | - | |
| 78 | HICKEY Connor | 3% | 21% | 38% | 28% | 9% | 1% | |
| 78 | DESERANNO Leander | 21% | 45% | 28% | 6% | - | - | |
| 80 | POPOKH Luca | 10% | 33% | 36% | 17% | 3% | - | |
| 81 | MARTIRE Luca | 31% | 44% | 21% | 4% | - | - | |
| 82 | LIU Robert | 1% | 18% | 36% | 30% | 13% | 2% | - |
| 83 | PLUMMER Waylon | - | 3% | 15% | 31% | 33% | 16% | 3% |
| 84 | YAN Rian | 14% | 35% | 32% | 14% | 3% | - | - |
| 85 | DEPP Edward | 2% | 14% | 34% | 32% | 14% | 3% | - |
| 86 | PARK Roy | 47% | 38% | 12% | 2% | - | - | - |
| 87 | WOODTHORPE Chris | 42% | 44% | 13% | 1% | - | - | - |
| 88 | ALKADI Zain | < 1% | 1% | 11% | 42% | 38% | 9% | |
| 89 | KIAYIAS Alexander | 76% | 22% | 2% | - | - | - | - |
| 90 | KOE Declan | 5% | 29% | 45% | 18% | 2% | - | |
| 91 | TOOMRE Kai | 1% | 8% | 22% | 33% | 25% | 9% | 1% |
| 92 | SIU Max | 14% | 40% | 35% | 10% | 1% | - | |
| 93 | REN Ryan | 54% | 36% | 9% | 1% | - | - | - |
| 94 | HALL Fletcher | 2% | 15% | 32% | 31% | 16% | 4% | - |
| 95 | SEVOSTYANOV Timofey | 59% | 34% | 6% | - | - | - | |
| 96 | VIDAL Mateo | 25% | 42% | 25% | 6% | 1% | - | - |
| 97 | QIAN Henry | 50% | 38% | 10% | 1% | - | - | - |
| 98 | BEYDOUN Sam | 26% | 40% | 25% | 8% | 1% | - | - |
| 98 | LIU Gene | 25% | 52% | 19% | 3% | - | - | - |
| 100 | GOGOI Kavi | 11% | 31% | 34% | 18% | 5% | 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.