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 | BEVACQUA Aria F. | - | - | - | 4% | 20% | 44% | 31% |
| 2 | DUCKETT Madison | - | - | 2% | 9% | 27% | 40% | 22% |
| 3 | YANG Ashley M. | - | - | 1% | 8% | 25% | 40% | 26% |
| 3 | DANK Dina | - | - | 2% | 11% | 30% | 39% | 19% |
| 5 | BALAKUMARAN Maya | - | - | 3% | 13% | 30% | 36% | 17% |
| 6 | PAUL Lila | - | - | 2% | 10% | 29% | 39% | 19% |
| 7 | PRIEUR Lauren | - | - | 1% | 8% | 24% | 40% | 27% |
| 8 | SOURIMTO Valeria | - | 1% | 7% | 22% | 36% | 27% | 7% |
| 9 | LIGH Erenei J. | - | 2% | 10% | 25% | 34% | 23% | 6% |
| 10 | JOHNSTON Lily | - | 5% | 21% | 37% | 28% | 8% | 1% |
| 11 | GRINBERG Aliya | - | 3% | 18% | 38% | 32% | 9% | |
| 12 | JEONG Katie | - | 1% | 11% | 29% | 35% | 19% | 4% |
| 13 | YUAN Greta | - | 1% | 8% | 24% | 36% | 25% | 6% |
| 14 | KIM Marley I. | - | 1% | 5% | 19% | 35% | 30% | 9% |
| 15 | ANTHONY Alexia B. | - | - | 3% | 13% | 32% | 37% | 16% |
| 16 | REN Xinling | - | 3% | 16% | 36% | 33% | 11% | 1% |
| 17 | MANSPERGER Leena | - | 1% | 7% | 22% | 36% | 27% | 7% |
| 18 | LIU Sophie | - | 1% | 5% | 21% | 36% | 29% | 8% |
| 19 | TSUI Natalie | - | 1% | 5% | 18% | 34% | 31% | 11% |
| 20 | LOPEZ-ONA Mia | 3% | 16% | 32% | 31% | 14% | 3% | - |
| 21 | YAN Lena | 3% | 20% | 38% | 28% | 9% | 1% | - |
| 22 | NGUYEN Ella | - | 3% | 17% | 38% | 32% | 9% | |
| 23 | NAYAK Esha | 8% | 27% | 35% | 22% | 7% | 1% | - |
| 24 | LEE Sophia | - | 3% | 13% | 30% | 33% | 18% | 3% |
| 25 | YEN Natalie | 12% | 32% | 34% | 17% | 4% | 1% | - |
| 26 | SPEARS Mya B | 1% | 5% | 19% | 33% | 29% | 12% | 2% |
| 27 | HE Lizbeth | 1% | 5% | 18% | 32% | 29% | 13% | 2% |
| 28 | MCKEE Ainsley | - | 5% | 22% | 36% | 26% | 9% | 1% |
| 29 | ALTIRS Kate | 9% | 28% | 34% | 21% | 7% | 1% | - |
| 30 | YOUNG Charlotte G. | - | 2% | 15% | 33% | 32% | 14% | 2% |
| 31 | GRAFF Sophie | - | - | 1% | 8% | 28% | 43% | 20% |
| 32 | MCKEE Brynnley | 5% | 21% | 34% | 27% | 11% | 2% | - |
| 33 | HAMBAZAZA Liisa | 1% | 9% | 24% | 33% | 23% | 8% | 1% |
| 34 | JOHNSON Dagny L. | - | 1% | 7% | 28% | 42% | 22% | |
| 35 | GOMERMAN Sophia | 2% | 10% | 25% | 32% | 22% | 7% | 1% |
| 36 | HUANG Rachael | 1% | 7% | 29% | 39% | 20% | 4% | |
| 37 | ZHANG Sophie | 5% | 22% | 34% | 26% | 10% | 2% | - |
| 38 | NATH Trisha | - | 2% | 9% | 24% | 35% | 24% | 6% |
| 39 | SO Catelyn | 1% | 7% | 21% | 33% | 26% | 10% | 2% |
| 40 | SPRINGER Ella | 1% | 8% | 22% | 32% | 25% | 10% | 1% |
| 41 | BERNSTEIN Aiden S. | 6% | 23% | 35% | 25% | 9% | 2% | - |
| 42 | WU Helen | 1% | 7% | 22% | 34% | 26% | 9% | 1% |
| 43 | MONTORIO Lily M. | 10% | 31% | 35% | 19% | 5% | 1% | - |
| 44 | LEUNG Ashlyn K. | 8% | 26% | 34% | 22% | 8% | 1% | - |
| 45 | WANG Jianning | 3% | 18% | 34% | 30% | 12% | 2% | - |
| 46 | KALINICHENKO Yekaterina | 9% | 34% | 37% | 16% | 3% | - | - |
| 47 | SHUM Cindy | 3% | 14% | 30% | 31% | 17% | 5% | - |
| 48 | CHOU Amy R. | 7% | 25% | 34% | 23% | 8% | 2% | - |
| 49 | MORAN Rhea | 16% | 37% | 32% | 13% | 2% | - | - |
| 50 | JENKINS Scotland | 7% | 25% | 35% | 23% | 8% | 1% | - |
| 51 | YAN Ava | 4% | 18% | 33% | 29% | 13% | 3% | - |
| 52 | WANG Audrey | 32% | 47% | 18% | 3% | - | - | |
| 53 | SCOTT Eve | 14% | 47% | 30% | 8% | 1% | - | - |
| 54 | DAI Olivia | 8% | 27% | 35% | 22% | 7% | 1% | - |
| 55 | YOUNG Audrey | 4% | 18% | 32% | 29% | 14% | 3% | - |
| 55 | BAWA Anahat | 2% | 11% | 26% | 32% | 22% | 7% | 1% |
| 57 | LI Angela | 15% | 35% | 32% | 14% | 3% | - | - |
| 58 | QURESHI Manaal | 53% | 37% | 8% | 1% | - | - | - |
| 59 | FLATT Sophia | 8% | 28% | 37% | 21% | 6% | 1% | - |
| 59 | HEGDE Anvika | 41% | 41% | 15% | 2% | - | - | - |
| 61 | MESSICK Maya | 31% | 48% | 18% | 3% | - | - | |
| 62 | CRAINE Alexandra E. | 3% | 16% | 32% | 31% | 15% | 3% | - |
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.