Monroe 33 Tennis, Basketball and Sports - 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 | PRIMUS Nazir | - | 1% | 4% | 16% | 33% | 34% | 13% | 
| 2 | DALAL Rohan | - | - | 2% | 11% | 36% | 45% | 7% | 
| 3 | HU Christopher | - | - | - | 3% | 15% | 41% | 40% | 
| 3 | FELDMAN Drew | - | 2% | 11% | 30% | 38% | 19% | |
| 5 | ANTHONY Devyn V. | - | - | - | - | 3% | 25% | 72% | 
| 6 | HUANG Alex F. | - | - | - | 4% | 20% | 44% | 32% | 
| 7 | BRANDT Jaden | 1% | 7% | 23% | 36% | 27% | 7% | |
| 8 | BODKIN Jake M. | - | 3% | 15% | 34% | 34% | 13% | |
| 9 | ANAND Sahil Z. | 1% | 6% | 23% | 37% | 26% | 7% | |
| 10 | MARGULIS Jared | 6% | 29% | 38% | 21% | 5% | < 1% | |
| 11 | BERA Enzo | - | - | 1% | 6% | 23% | 43% | 28% | 
| 12 | KIM Ethan | - | 3% | 12% | 28% | 33% | 19% | 4% | 
| 13 | ZHAO Lucas | - | - | 3% | 12% | 30% | 37% | 18% | 
| 14 | HUANG Maxwell H. | - | 4% | 15% | 31% | 32% | 16% | 3% | 
| 15 | ZHANG Yupeng | 1% | 9% | 26% | 34% | 22% | 6% | 1% | 
| 16 | SAHAY Kenji | - | 3% | 17% | 35% | 33% | 11% | |
| 17 | KWALWASSER Eric | - | - | 2% | 11% | 31% | 40% | 17% | 
| 18 | ZHENG LEON | - | 2% | 14% | 33% | 35% | 14% | 2% | 
| 19 | LEE Ashe | 2% | 13% | 32% | 34% | 16% | 3% | - | 
| 20 | HO Nathaniel | 1% | 9% | 29% | 39% | 19% | 3% | - | 
| 21 | LEE Andrew | 2% | 13% | 31% | 34% | 17% | 3% | |
| 22 | GONG Jerry | 1% | 7% | 24% | 36% | 26% | 7% | |
| 23 | WANG daniel | 2% | 16% | 35% | 32% | 13% | 2% | |
| 24 | CAMPBELL Tobias | 9% | 36% | 36% | 15% | 3% | - | - | 
| 25 | URSU Marcel T. | - | 1% | 6% | 22% | 37% | 27% | 7% | 
| 26 | SAGE Sebastian | - | 2% | 10% | 26% | 35% | 22% | 5% | 
| 27 | IDRISSI Idris | 1% | 7% | 25% | 38% | 24% | 5% | |
| 28 | TIAGI George | 10% | 30% | 35% | 20% | 5% | 1% | |
| 29 | TANG Shu Hon | - | 1% | 4% | 17% | 37% | 34% | 7% | 
| 30 | ALAVE Kyle | - | 2% | 13% | 32% | 35% | 15% | 2% | 
| 31 | XIA Eric | 5% | 21% | 34% | 27% | 11% | 2% | - | 
| 32 | BONETTI Brayden | - | 2% | 11% | 31% | 38% | 18% | |
| 33 | HE Bowen | 3% | 20% | 36% | 28% | 11% | 2% | - | 
| 34 | SEN Christian | 9% | 29% | 35% | 20% | 6% | 1% | |
| 35 | NG Jonathan | - | 7% | 25% | 37% | 24% | 7% | 1% | 
| 36 | NGUYEN Anthony | 3% | 17% | 34% | 31% | 13% | 2% | - | 
| 37 | RAJMOHAN Arya | 1% | 11% | 33% | 36% | 16% | 3% | - | 
| 38 | LIN Philip T. | 1% | 8% | 25% | 34% | 23% | 8% | 1% | 
| 39 | DOCIL Jack | 5% | 22% | 37% | 27% | 8% | 1% | - | 
| 40 | MENDOZA Diwa | 10% | 30% | 35% | 19% | 5% | 1% | - | 
| 41 | PRIEUR Christian F. | 2% | 11% | 28% | 35% | 20% | 4% | |
| 42 | WITCZAK Mateus | 4% | 19% | 34% | 29% | 12% | 2% | - | 
| 43 | LIU Isaak | 38% | 41% | 17% | 3% | - | - | - | 
| 44 | PEMMARAJU Sundar | 2% | 13% | 29% | 32% | 19% | 6% | 1% | 
| 45 | HO Jacob | 6% | 24% | 37% | 25% | 7% | 1% | - | 
| 46 | WONG Caleb W. | 8% | 27% | 35% | 22% | 7% | 1% | - | 
| 47 | HAPP Braeden | 5% | 29% | 39% | 21% | 5% | 1% | - | 
| 48 | MCDONALD Finn | 12% | 33% | 34% | 16% | 4% | - | |
| 49 | MONTALVO Matthew | 40% | 41% | 16% | 3% | - | - | |
| 50 | LEE Anderson | 6% | 26% | 37% | 24% | 7% | 1% | |
| 51 | OH Aster | - | < 1% | 3% | 16% | 36% | 36% | 9% | 
| 52 | LIM Brandon | 15% | 35% | 32% | 14% | 3% | - | - | 
| 53 | KIM Theodore | 7% | 26% | 35% | 23% | 8% | 1% | - | 
| 54 | PENG Victor | 2% | 15% | 33% | 33% | 15% | 3% | - | 
| 54 | BUIKEVICH Ihnat | 8% | 28% | 35% | 21% | 6% | 1% | - | 
| 56 | GRASSO Sebastiano | 2% | 13% | 29% | 32% | 19% | 5% | - | 
| 57 | FTAIHA Ezra | 48% | 39% | 11% | 1% | - | - | - | 
| 58 | JIANG Terence | 2% | 16% | 35% | 32% | 12% | 2% | - | 
| 59 | TAI Roebling | 15% | 37% | 33% | 13% | 2% | - | - | 
| 60 | O'GRADY Declan | 21% | 40% | 28% | 9% | 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.