Monroe 33 Tennis, Basketball and Sports Center - Monroe Township, 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 | EKE Frank | - | - | 3% | 14% | 35% | 37% | 12% |
| 2 | MCCOMISKEY Aiden J. | - | - | 1% | 5% | 20% | 42% | 33% |
| 3 | LEE Noah | - | - | 2% | 12% | 31% | 38% | 16% |
| 3 | GAO Daniel | - | - | 4% | 16% | 34% | 33% | 13% |
| 5 | LOYOLA TORRIENTE Padick | - | - | 1% | 9% | 29% | 41% | 20% |
| 6 | CHEN Eric | - | 1% | 7% | 25% | 38% | 24% | 5% |
| 7 | KANG Michael H. | - | - | - | 3% | 17% | 43% | 37% |
| 8 | MISHIMA Torata | - | 2% | 13% | 32% | 37% | 16% | |
| 9 | SIVAKUMAR Ajit | - | - | - | 8% | 40% | 51% | |
| 10 | KWOUN Miles S. | 3% | 22% | 41% | 26% | 7% | 1% | - |
| 11 | KOBI Samuel | - | - | 4% | 26% | 50% | 19% | |
| 12 | BHATNAGAR Ayan | - | 2% | 13% | 32% | 37% | 16% | |
| 13 | RHYU Kozmo | - | - | - | 3% | 17% | 42% | 38% |
| 14 | JIN Owen | - | - | 2% | 11% | 30% | 39% | 18% |
| 15 | SHCHUR Landon | - | 2% | 14% | 32% | 34% | 16% | 3% |
| 16 | LEE Seungwon | - | 4% | 20% | 37% | 28% | 9% | 1% |
| 17 | KIM William M. | - | - | 2% | 12% | 33% | 38% | 15% |
| 18 | ROSENBERG Jacob | 2% | 13% | 31% | 32% | 17% | 4% | - |
| 19 | PRIHODKO Max | - | 2% | 11% | 28% | 35% | 21% | 5% |
| 20 | WU Jonathan | - | 1% | 7% | 23% | 37% | 27% | 6% |
| 21 | PERSAUD Daivik | - | 4% | 19% | 36% | 30% | 10% | 1% |
| 22 | REDDY Arya | 2% | 23% | 38% | 26% | 9% | 1% | - |
| 23 | CHATZIKALFAS Dimitris E. | - | 4% | 20% | 36% | 29% | 10% | 1% |
| 24 | HE Lawrence | - | 2% | 10% | 27% | 35% | 21% | 5% |
| 25 | SKAALAND Will | - | 5% | 21% | 36% | 27% | 9% | 1% |
| 26 | SHEN Max | - | 1% | 7% | 26% | 39% | 23% | 4% |
| 27 | SERAFIN Ben | 1% | 12% | 32% | 34% | 16% | 3% | - |
| 28 | GORTI Agustya | 4% | 18% | 32% | 29% | 13% | 3% | - |
| 29 | BANKULLA Nihal R. | 1% | 9% | 31% | 37% | 18% | 4% | - |
| 30 | LAI Aedin | 12% | 34% | 35% | 16% | 3% | - | |
| 31 | CHOE Andrew | 4% | 21% | 36% | 28% | 10% | 1% | |
| 32 | LONGSTREET Jeffrey | 15% | 42% | 32% | 10% | 1% | - | - |
| 33 | LIEF Isaac R. | - | - | 2% | 13% | 36% | 37% | 12% |
| 34 | MORSE Tyler | - | 1% | 5% | 17% | 33% | 32% | 13% |
| 35 | WEI HUNTER | 7% | 24% | 34% | 24% | 9% | 2% | - |
| 36 | LAI Coby | 1% | 5% | 17% | 31% | 30% | 14% | 3% |
| 37 | SIMPSON Patrick | - | 1% | 9% | 26% | 35% | 23% | 6% |
| 38 | PARK Frederick | - | 4% | 15% | 29% | 31% | 17% | 3% |
| 39 | JANKOWICH Alexander E. | - | 3% | 18% | 38% | 30% | 9% | 1% |
| 40 | SCYPINSKI Andrew | 38% | 42% | 16% | 3% | - | - | - |
| 41 | DISIMONE David Z. | 1% | 6% | 20% | 32% | 27% | 12% | 2% |
| 42 | MAHESH Tarun | - | 3% | 15% | 33% | 33% | 15% | 2% |
| 43 | OTTO Nathaniel B. | 6% | 30% | 44% | 18% | 2% | - | |
| 44 | GONG Haixiang | 19% | 39% | 30% | 10% | 2% | - | |
| 45 | WANG Eric S | 1% | 10% | 29% | 36% | 20% | 4% | |
| 46 | WHITEHURST JJ | - | 4% | 24% | 47% | 22% | 3% | |
| 47 | SHULKIN Mark | 16% | 47% | 31% | 6% | - | - | |
| 48 | JOSLIN Tyler | - | 6% | 25% | 36% | 24% | 7% | 1% |
| 49 | KUBATIN Anton V. | 27% | 47% | 22% | 4% | - | - | - |
| 50 | CHEN Jun Ho | - | 8% | 26% | 36% | 23% | 7% | 1% |
| 51 | WIECHMANN Colin | 1% | 10% | 31% | 36% | 18% | 4% | - |
| 52 | LIU Joe | 6% | 31% | 37% | 20% | 5% | 1% | - |
| 53 | HU Robert J. | 39% | 44% | 15% | 2% | - | - | - |
| 54 | WANG Max S | 49% | 38% | 11% | 2% | - | - | - |
| 55 | SUN Jason | 14% | 38% | 32% | 13% | 2% | - | - |
| 56 | LI Jeffrey | 7% | 25% | 34% | 23% | 9% | 2% | - |
| 57 | SUN Jeffery | 17% | 43% | 30% | 8% | 1% | - | - |
| 58 | TORRES Gianni | 28% | 42% | 23% | 6% | 1% | - | - |
| 59 | BENCZE Kristof | 44% | 42% | 13% | 1% | - | - | |
| 60 | BYUN Kevin | 73% | 24% | 3% | - | - | - | - |
| 61 | MING Isaac | 37% | 46% | 15% | 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.