ROCKLAND COMMUNITY COLLEGE - Suffern, NY, 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 | HUANG Alex F. | - | - | - | - | 5% | 31% | 63% |
| 2 | ANTHONY Devyn V. | - | - | - | 2% | 12% | 39% | 48% |
| 3 | LIN Philip T. | - | 1% | 6% | 22% | 37% | 28% | 5% |
| 3 | MEHAN Nicholas | - | - | - | - | 3% | 24% | 73% |
| 5 | CARRINGTON IV William T. | - | - | - | 3% | 17% | 44% | 36% |
| 6 | NGUYEN Anthony | - | 1% | 7% | 22% | 35% | 27% | 8% |
| 7 | LIU Kevin | - | - | - | 2% | 14% | 43% | 41% |
| 8 | CLARK Aram | - | - | - | 3% | 18% | 45% | 34% |
| 9 | KIM Ethan | - | - | 1% | 6% | 25% | 42% | 25% |
| 10 | WANG daniel | - | - | 3% | 15% | 36% | 34% | 11% |
| 11 | LIN Maxim | - | 1% | 9% | 29% | 39% | 20% | 2% |
| 12 | URSU Marcel T. | - | - | 3% | 12% | 30% | 37% | 18% |
| 13 | MONTALVO Matthew | 1% | 8% | 27% | 38% | 22% | 5% | - |
| 14 | ALAVE Kyle | - | 1% | 7% | 23% | 35% | 26% | 7% |
| 15 | FADEL Alexander | - | 1% | 7% | 22% | 35% | 27% | 8% |
| 16 | PEREIRA Beckham | - | 2% | 11% | 27% | 34% | 21% | 5% |
| 17 | LEE Andrew | 1% | 8% | 23% | 33% | 25% | 9% | 1% |
| 18 | BIVIJI Ali | - | - | 1% | 9% | 30% | 43% | 18% |
| 19 | NARDINI Nathanael P. | - | 1% | 7% | 25% | 38% | 25% | 5% |
| 20 | CHUNG Connor | 2% | 13% | 31% | 33% | 16% | 3% | - |
| 21 | LEUNG Ian | - | 1% | 8% | 29% | 40% | 21% | 2% |
| 22 | DEELY Hartigan | 3% | 21% | 39% | 28% | 8% | 1% | - |
| 23 | OH Aster | - | - | 1% | 8% | 30% | 44% | 16% |
| 24 | KIM Kendrick | 1% | 7% | 22% | 33% | 25% | 10% | 2% |
| 25 | PORTER Dupree | - | 3% | 16% | 37% | 33% | 10% | 1% |
| 26 | WELSTEAD Nicholas | 5% | 22% | 36% | 26% | 9% | 1% | - |
| 27 | LIU Ryan | 1% | 11% | 32% | 35% | 17% | 4% | - |
| 28 | DIAZ-TERRA Pablo | 1% | 6% | 23% | 35% | 26% | 8% | 1% |
| 29 | MEDVINSKY Daniel | - | - | 4% | 19% | 40% | 32% | 4% |
| 30 | LOO Jason | 4% | 24% | 37% | 25% | 8% | 1% | - |
| 31 | DAI Zihou | 3% | 15% | 30% | 31% | 16% | 4% | - |
| 32 | SHINCHUK Jacob | 6% | 29% | 39% | 21% | 5% | - | - |
| 33 | SARWAHI Viraat | - | 3% | 15% | 34% | 34% | 13% | 1% |
| 34 | YOOK Isaac | - | 1% | 10% | 29% | 39% | 18% | 3% |
| 35 | BROENING-CHAI Jonas | - | 3% | 17% | 35% | 32% | 12% | 1% |
| 36 | GREENE Xavier | 2% | 15% | 34% | 33% | 14% | 2% | - |
| 37 | NOVOSYOLOK Zachary | - | 4% | 18% | 37% | 31% | 10% | - |
| 37 | TAYCHER Aaron | - | 2% | 13% | 30% | 33% | 18% | 4% |
| 39 | SHAPIRO Simon | 11% | 32% | 34% | 18% | 5% | 1% | - |
| 40 | SASSI Ilyas | 9% | 35% | 36% | 16% | 3% | - | - |
| 41 | LIEBOWITZ Carson | 16% | 38% | 32% | 12% | 2% | - | - |
| 42 | LEVIN Jacob | - | 1% | 7% | 24% | 37% | 25% | 6% |
| 43 | LEE John | 15% | 37% | 32% | 13% | 2% | - | - |
| 44 | MARTINSON Torm | 1% | 20% | 41% | 29% | 8% | 1% | - |
| 45 | SANTOS Theodore | 1% | 9% | 29% | 37% | 20% | 4% | - |
| 46 | ONG Dylan | 1% | 9% | 27% | 35% | 22% | 5% | - |
| 47 | PAI Ayan | 4% | 22% | 38% | 27% | 8% | 1% | - |
| 48 | ZHANG Ray | 20% | 37% | 29% | 11% | 2% | - | - |
| 49 | TUNIK Joshuah | 4% | 20% | 36% | 28% | 10% | 1% | - |
| 50 | GAO Kai | 54% | 37% | 9% | 1% | - | - | - |
| 51 | SADHU Neiyam | 2% | 16% | 33% | 30% | 14% | 3% | - |
| 52 | KAPOOR Krish | 1% | 7% | 21% | 33% | 26% | 10% | 2% |
| 53 | AVERY Marcus | 1% | 7% | 22% | 34% | 26% | 9% | 1% |
| 54 | DOSTAL Maximilian | 2% | 26% | 42% | 24% | 6% | 1% | - |
| 55 | CHENG Sawyer | 48% | 38% | 12% | 2% | - | - | - |
| 56 | BIVIJI Adam | 14% | 36% | 33% | 14% | 3% | - | - |
| 57 | GERTSBERG Eli | 6% | 32% | 39% | 18% | 4% | - | - |
| 57 | SONG Aidan | 83% | 16% | 1% | - | - | - | - |
| 59 | LUCAS Collin | 44% | 41% | 13% | 2% | - | - | - |
| 60 | RUTLEDGE Carrigh | 6% | 29% | 40% | 21% | 4% | - | - |
| 61 | KUSHKOV Michael | 3% | 15% | 31% | 31% | 16% | 4% | - |
| 62 | BUTLER JR. Anthony | 19% | 42% | 30% | 8% | 1% | - | - |
| 62 | YOUNG Parker | 49% | 39% | 11% | 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.