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 | TSUI Natalie | - | - | - | 4% | 17% | 40% | 38% |
| 2 | JOHNSON Dagny L. | - | - | 2% | 14% | 40% | 43% | |
| 3 | HAMBAZAZA Liisa | - | 1% | 8% | 27% | 38% | 22% | 4% |
| 3 | MCKEE Brynnley | - | 2% | 13% | 33% | 35% | 15% | 2% |
| 5 | ANTHONY Alexia B. | - | - | - | 5% | 21% | 43% | 31% |
| 6 | CHIARELLI Valentina | - | 1% | 8% | 26% | 41% | 24% | |
| 7 | YOUNG Audrey | 1% | 8% | 28% | 38% | 22% | 3% | |
| 8 | DAI Olivia | 5% | 23% | 37% | 26% | 8% | 1% | |
| 9 | HE Lizbeth | - | 1% | 7% | 25% | 42% | 25% | |
| 10 | FESTA Carina | - | 2% | 13% | 37% | 36% | 12% | |
| 11 | MAKLIN Sofia | - | 1% | 9% | 33% | 41% | 16% | |
| 12 | SPEARS Mya B | - | - | 4% | 18% | 37% | 32% | 9% |
| 13 | CHOU Zoe | 2% | 13% | 29% | 32% | 18% | 5% | - |
| 14 | NATH Trisha | - | 1% | 6% | 27% | 43% | 23% | |
| 15 | GOMERMAN Sophia | - | 4% | 18% | 36% | 32% | 10% | |
| 16 | YOUNG Charlotte G. | - | 2% | 14% | 34% | 36% | 13% | |
| 17 | CHOU Amy R. | 1% | 9% | 28% | 37% | 21% | 4% | |
| 18 | ALTIRS Kate | 1% | 8% | 28% | 38% | 21% | 3% | |
| 19 | FLATT Sophia | 2% | 15% | 34% | 34% | 14% | 2% | |
| 20 | JEONG Katie | - | 3% | 14% | 33% | 35% | 14% | |
| 21 | HUANG Rachael | 1% | 7% | 24% | 36% | 25% | 6% | |
| 22 | SO Catelyn | - | 4% | 17% | 35% | 33% | 11% | |
| 23 | BERRIOS Catalina | 4% | 21% | 37% | 28% | 9% | 1% | |
| 24 | GUVEN Coco | 1% | 8% | 26% | 37% | 23% | 5% | |
| 25 | LOO Kaitlyn | 4% | 21% | 36% | 28% | 10% | 1% | |
| 26 | YAN Lena | 2% | 12% | 28% | 33% | 20% | 6% | 1% |
| 27 | BAINS Nandini | 32% | 44% | 19% | 4% | - | - | |
| 28 | ZHANG Sophie | - | 2% | 11% | 27% | 35% | 21% | 4% |
| 29 | MONTORIO Lily M. | 13% | 34% | 34% | 15% | 3% | - | |
| 30 | KHOST Maeve | 6% | 30% | 42% | 18% | 3% | - | |
| 31 | ZHANG Emily | 26% | 42% | 25% | 7% | 1% | - | |
| 32 | PROBASCO Leila | 16% | 41% | 32% | 9% | 1% | - | |
| 33 | LI Alexis | 15% | 38% | 33% | 12% | 2% | - | |
| 34 | LIM Alexa J. | 6% | 23% | 34% | 25% | 10% | 2% | - |
| 35 | RAY Auyona | 11% | 31% | 34% | 18% | 5% | 1% | - |
| 36 | MUND Ruth | 2% | 11% | 28% | 33% | 20% | 6% | 1% |
| 37 | LAURI Keira | 40% | 41% | 16% | 3% | - | - | |
| 38 | CHO-SAYEGH Emily | 10% | 33% | 36% | 17% | 4% | - | |
| 39 | CHAVAN Arya | 38% | 43% | 16% | 3% | - | - | - |
| 40 | BORGUETA Madison | 12% | 40% | 35% | 12% | 2% | - | - |
| 41 | CHAN Madeleine V. | 5% | 25% | 40% | 23% | 6% | 1% | - |
| 42 | HU Anna | 7% | 31% | 38% | 19% | 4% | - | |
| 43 | KALINICHENKO Yekaterina | 20% | 41% | 29% | 9% | 1% | - | |
| 44 | LIU Yifei | 17% | 38% | 31% | 12% | 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.