Rockland Community College - Suffern, NY, USA
Explore the probability of achieving at least a certain number of victories in the pool 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 | SINGLETON Aman | 100% | 100% | 100% | 100% | 97% | 82% | 42% |
| 2 | WANG-SONG Evan | 100% | 100% | 100% | 97% | 80% | 37% | |
| 3 | KIM Henry | 100% | 100% | 100% | 100% | 98% | 87% | 49% |
| 3 | MOSTOVOY philip | 100% | 100% | 100% | 100% | 95% | 76% | 33% |
| 5 | LEE Harrison | 100% | 100% | 97% | 83% | 50% | 14% | |
| 5 | HENNESSY Levon | 100% | 99% | 91% | 63% | 25% | 4% | |
| 7 | LIN ZIJIE | 100% | 100% | 94% | 73% | 39% | 12% | 2% |
| 8 | WU Matthew | 100% | 99% | 93% | 70% | 33% | 6% | |
| 9 | KHERSONSKY Robert | 100% | 100% | 98% | 86% | 55% | 17% | |
| 10 | KATS Brandon | 100% | 100% | 98% | 89% | 65% | 31% | 7% |
| 11 | NG Nico | 100% | 100% | 99% | 92% | 69% | 35% | 8% |
| 12 | LUO Alexander | 100% | 100% | 100% | 97% | 85% | 53% | 14% |
| 13 | CHEN Daniel | 100% | 100% | 96% | 78% | 45% | 15% | 2% |
| 14 | WANG Marcus | 100% | 98% | 84% | 53% | 21% | 5% | - |
| 15 | DAI Jason | 100% | 99% | 92% | 67% | 30% | 6% | |
| 16 | FRIZZELL Kai | 100% | 99% | 86% | 55% | 21% | 4% | - |
| 17 | WITHERELL Logan | 100% | 99% | 90% | 64% | 28% | 6% | 1% |
| 18 | NOOL Alexander | 100% | 100% | 96% | 77% | 36% | 4% | |
| 18 | SHAPIRO Samuel | 100% | 99% | 94% | 71% | 34% | 7% | |
| 20 | HONG Ethen | 100% | 99% | 88% | 58% | 22% | 4% | |
| 21 | ARMSTRONG Payson | 100% | 100% | 98% | 85% | 50% | 13% | |
| 22 | TSIEN Richard | 100% | 100% | 99% | 95% | 78% | 46% | 13% |
| 23 | ZHENG Jason | 100% | 97% | 79% | 44% | 15% | 2% | - |
| 24 | WHITE Jackson | 100% | 99% | 92% | 69% | 34% | 9% | 1% |
| 25 | SONG Aidan | 100% | 100% | 99% | 93% | 70% | 28% | |
| 26 | SI Anderson | 100% | 100% | 97% | 85% | 57% | 24% | 4% |
| 27 | BHANDARE Veer | 100% | 99% | 87% | 56% | 23% | 4% | - |
| 28 | CHEN Tianjun | 100% | 96% | 79% | 47% | 18% | 4% | - |
| 29 | CHEN Evan | 100% | 100% | 98% | 86% | 58% | 25% | 5% |
| 29 | HAN Keyi | 100% | 100% | 96% | 79% | 47% | 15% | 2% |
| 31 | FOGEL Jake | 100% | 98% | 84% | 51% | 19% | 3% | - |
| 32 | YOON Jonathan | 100% | 98% | 85% | 54% | 21% | 4% | - |
| 33 | SHI Peyton | 100% | 88% | 54% | 19% | 3% | - | |
| 34 | LIU Jeremy | 100% | 94% | 70% | 32% | 8% | 1% | |
| 35 | YAKHNIS Seth | 100% | 100% | 96% | 79% | 47% | 17% | 3% |
| 36 | ZINCHUK Yuri | 100% | 95% | 71% | 33% | 8% | 1% | - |
| 37 | MA Joseph | 100% | 98% | 85% | 56% | 24% | 6% | 1% |
| 38 | TOPRANI Valmik | 100% | 100% | 97% | 85% | 55% | 21% | 3% |
| 39 | NOOL Aaron | 100% | 99% | 89% | 60% | 23% | 3% | |
| 40 | SHAO Mason | 100% | 98% | 83% | 50% | 16% | 2% | |
| 40 | CHO Adrian | 100% | 93% | 63% | 21% | 3% | - | |
| 42 | WHITE Leonardo | 100% | 65% | 23% | 4% | - | - | |
| 43 | DANG William | 100% | 100% | 96% | 80% | 47% | 16% | 2% |
| 44 | ZHAO Brandon | 100% | 94% | 69% | 32% | 8% | 1% | - |
| 45 | ROBINSON Blake | 100% | 54% | 15% | 2% | - | - | - |
| 46 | YU George | 100% | 84% | 45% | 12% | 1% | - | |
| 47 | SMITH Theo | 100% | 77% | 36% | 9% | 1% | - | |
| 48 | ZHAO Xinkai | 100% | 83% | 45% | 14% | 2% | - | |
| 49 | LEE Ryan | 100% | 64% | 21% | 3% | - | - | - |
| 50 | MASKIN Mikhail | 100% | 100% | 97% | 85% | 55% | 21% | 3% |
| 51 | TANG Luke | 100% | 100% | 92% | 68% | 35% | 10% | 1% |
| 52 | KESELMAN Ron | 100% | 99% | 89% | 55% | 18% | 2% | |
| 53 | LANE Sawyer | 100% | 88% | 52% | 17% | 3% | - | |
| 54 | KIM Louie | 100% | 22% | 2% | - | - | - | - |
| 55 | JAY Vivaan | 100% | 100% | 99% | 90% | 55% | 15% | 1% |
| 56 | LI Nolan | 100% | 80% | 39% | 10% | 1% | - | |
| 57 | QUAN William | 100% | 99% | 87% | 52% | 15% | 1% | |
| 58 | JAISING Aaditya | 100% | 59% | 19% | 3% | - | - | - |
| 59 | GRANT Aidan | 100% | 80% | 42% | 13% | 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.