SportsPlex at Metuchen - Metuchen, 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 | LEOU Korina | - | 2% | 12% | 29% | 34% | 19% | 4% |
| 2 | BUSH Bethany | - | 2% | 13% | 31% | 34% | 17% | 3% |
| 3 | KHAN Alissa | - | - | 1% | 6% | 22% | 41% | 30% |
| 3 | FODOR Claudia | - | 1% | 9% | 25% | 34% | 23% | 6% |
| 5 | LIU Moran | - | 2% | 12% | 29% | 34% | 19% | 4% |
| 6 | GOMERMAN Sophia | - | - | 1% | 8% | 27% | 41% | 23% |
| 7 | ZHANG Sophie | - | - | - | 3% | 16% | 42% | 40% |
| 8 | KRASOWITZ Lucy | 1% | 15% | 34% | 31% | 15% | 3% | - |
| 9 | WANG yining | - | - | 2% | 13% | 32% | 37% | 16% |
| 10 | BAIREDDY Maya | 1% | 7% | 23% | 35% | 25% | 8% | 1% |
| 11 | CHIANG Melissa | - | - | 3% | 13% | 32% | 36% | 15% |
| 12 | MCGRAW Sadie | - | 3% | 15% | 34% | 33% | 13% | 1% |
| 13 | DAMBAL Sasha | - | - | 5% | 19% | 35% | 31% | 10% |
| 14 | SHMULER Fiona | 1% | 16% | 35% | 32% | 13% | 3% | - |
| 15 | GUVEN Coco | - | 1% | 9% | 25% | 35% | 24% | 6% |
| 16 | PASUPULETI Laya | 25% | 42% | 25% | 7% | 1% | - | - |
| 17 | HORVITZ Jacqueline | 2% | 11% | 29% | 33% | 19% | 5% | 1% |
| 18 | KNOBEL Sophia | - | 1% | 5% | 20% | 37% | 29% | 8% |
| 19 | LI Alexis | - | 1% | 7% | 23% | 36% | 26% | 7% |
| 20 | HU Anna | - | 1% | 10% | 27% | 35% | 21% | 5% |
| 21 | KALINICHENKO Yekaterina | 1% | 11% | 30% | 35% | 18% | 4% | - |
| 22 | NAYAK Esha | - | 1% | 4% | 17% | 35% | 33% | 9% |
| 23 | SHINCHUK Ellisha | - | 1% | 5% | 19% | 35% | 30% | 9% |
| 23 | MANKOVA Varvara | - | 1% | 6% | 23% | 37% | 27% | 7% |
| 25 | LOURENCO Alexandra | 4% | 19% | 34% | 29% | 12% | 2% | - |
| 26 | ATTIA Jasmine | - | - | 2% | 12% | 34% | 39% | 13% |
| 27 | JOHNSTON Lily | - | 1% | 6% | 23% | 37% | 26% | 7% |
| 28 | MONTORIO Lily M. | - | - | 3% | 16% | 35% | 34% | 12% |
| 29 | SCHAIBLE Sofia L. | - | 1% | 5% | 20% | 35% | 30% | 9% |
| 30 | LOPEZ-ONA Mia | - | 6% | 23% | 34% | 25% | 9% | 1% |
| 31 | GENTILE Vittoria | 2% | 11% | 29% | 34% | 19% | 4% | - |
| 32 | VINOKUR Anita | - | 5% | 19% | 33% | 29% | 12% | 2% |
| 33 | GUGALA Hanna | - | - | 2% | 12% | 31% | 38% | 17% |
| 34 | MEDVINSKY Alexandra | - | 2% | 13% | 30% | 33% | 18% | 4% |
| 35 | TA-ZHOU Emma | 1% | 8% | 25% | 35% | 24% | 7% | 1% |
| 36 | MAKLIN Sofia | - | - | - | 3% | 16% | 41% | 39% |
| 37 | PROBASCO Leila | - | 3% | 16% | 33% | 32% | 14% | 2% |
| 37 | BROWN Aria | 2% | 18% | 37% | 30% | 11% | 2% | - |
| 39 | COONEY Alessandra | 5% | 25% | 37% | 24% | 8% | 1% | - |
| 39 | MACDONALD Stella | 2% | 22% | 39% | 27% | 9% | 1% | - |
| 41 | KANDADAI Lara | - | 3% | 13% | 30% | 34% | 18% | 3% |
| 42 | BORGUETA Madison | 2% | 20% | 37% | 28% | 10% | 2% | - |
| 43 | HALPERIN Elizabeth H. | - | 3% | 13% | 31% | 34% | 17% | 3% |
| 44 | VATS Ishita | 19% | 40% | 29% | 10% | 2% | - | - |
| 45 | NAYAK Antara | 6% | 23% | 36% | 25% | 9% | 1% | - |
| 46 | CONNOLLY Vida | 1% | 7% | 25% | 35% | 24% | 7% | 1% |
| 47 | ALAMI Amira | 7% | 30% | 37% | 20% | 5% | 1% | - |
| 48 | YEN Natalie | - | 1% | 4% | 18% | 35% | 32% | 10% |
| 49 | RANJAN Diya | 1% | 10% | 31% | 36% | 18% | 4% | - |
| 50 | NICHOLAS Eva | 2% | 16% | 36% | 31% | 13% | 3% | - |
| 51 | TU Sadie | 2% | 13% | 31% | 33% | 17% | 4% | - |
| 52 | HANLON Lucy | 1% | 10% | 29% | 35% | 19% | 5% | - |
| 53 | INSINGA Ava | 20% | 41% | 28% | 9% | 1% | - | - |
| 54 | VISWANATHAN Nishka | 13% | 35% | 34% | 15% | 3% | - | - |
| 55 | KAPLAN Gabriela | 2% | 13% | 32% | 34% | 16% | 3% | - |
| 56 | PRESANTH Nandana | 1% | 18% | 38% | 30% | 11% | 2% | - |
| 57 | YAO Annabelle | 38% | 41% | 17% | 4% | - | - | - |
| 58 | GETZONI Mary | 81% | 17% | 1% | - | - | - | - |
| 59 | KALISHMAN Anna | 17% | 37% | 31% | 13% | 3% | - | - |
| 60 | MANGAT Alexis | 70% | 26% | 4% | - | - | - | - |
| 61 | MORGAN Lily | 47% | 39% | 12% | 2% | - | - | - |
| 61 | ROHATGI Saanvi | 78% | 20% | 2% | - | - | - | - |
| 63 | SUH Gah Ohn Anna | 65% | 29% | 5% | - | - | - | - |
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.