Rockland Community College, Eugene Levy Field House - 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 | NATH Trisha | 100% | 100% | 100% | 100% | 100% | 98% | 77% |
| 2 | DAI Olivia | 100% | 100% | 98% | 85% | 51% | 13% | |
| 3 | LUKER Sophia | 100% | 100% | 100% | 100% | 99% | 89% | 52% |
| 3 | TENG EMMA | 100% | 100% | 100% | 95% | 78% | 44% | 11% |
| 5 | KHAN Alissa | 100% | 100% | 100% | 100% | 99% | 88% | 49% |
| 6 | ZHANG Sophie | 100% | 100% | 100% | 96% | 78% | 37% | |
| 7 | HU Anna | 100% | 100% | 99% | 93% | 69% | 27% | |
| 8 | LOO Kaitlyn | 100% | 100% | 94% | 71% | 33% | 6% | |
| 9 | BIRNSTILL Reese | 100% | 100% | 97% | 80% | 46% | 14% | 1% |
| 10 | BUSH Bethany | 100% | 100% | 97% | 84% | 53% | 18% | 1% |
| 11 | CROOKS Riley | 100% | 100% | 100% | 95% | 72% | 31% | 5% |
| 12 | VINOKUR Anita | 100% | 100% | 100% | 98% | 85% | 48% | 10% |
| 13 | MERCHANT Aishwarya | 100% | 100% | 98% | 85% | 52% | 14% | |
| 14 | BROWN Aria | 100% | 99% | 92% | 69% | 34% | 9% | 1% |
| 15 | BORGUETA Madison | 100% | 91% | 59% | 22% | 4% | - | |
| 16 | KIM Audrey | 100% | 92% | 65% | 29% | 6% | 1% | |
| 17 | SCOTT Eve | 100% | 100% | 99% | 93% | 69% | 26% | |
| 18 | SHMULER Fiona | 100% | 99% | 91% | 66% | 31% | 8% | 1% |
| 19 | MCGRAW Sadie | 100% | 94% | 69% | 31% | 7% | 1% | |
| 20 | DAMBAL Sasha | 100% | 100% | 95% | 78% | 44% | 12% | |
| 21 | MANKOVA Varvara | 100% | 100% | 99% | 93% | 69% | 26% | |
| 22 | HUANG Doris | 100% | 99% | 94% | 75% | 40% | 10% | |
| 23 | LIM Alexa J. | 100% | 82% | 44% | 14% | 2% | - | |
| 24 | LIU Kelly | 100% | 99% | 94% | 74% | 39% | 10% | 1% |
| 25 | MACKAY Katherine | 100% | 99% | 90% | 64% | 29% | 7% | 1% |
| 26 | BAINS Nandini | 100% | 93% | 67% | 31% | 8% | 1% | |
| 27 | KWON Ava | 100% | 98% | 84% | 53% | 20% | 3% | |
| 28 | MAK Kaitlin | 100% | 96% | 77% | 41% | 12% | 1% | |
| 29 | BAIK Sarah | 100% | 89% | 56% | 20% | 3% | - | |
| 30 | LI Sonia | 100% | 99% | 90% | 64% | 27% | 4% | |
| 31 | ONG Lauren | 100% | 85% | 47% | 14% | 2% | - | |
| 32 | PASUPULETI Laya | 100% | 89% | 51% | 16% | 3% | - | - |
| 33 | HORVITZ Jacqueline | 100% | 97% | 82% | 49% | 16% | 2% | |
| 34 | LOURENCO Alexandra | 100% | 98% | 85% | 55% | 21% | 4% | - |
| 35 | KANDADAI Lara | 100% | 98% | 83% | 50% | 16% | 2% | |
| 36 | ZHAN Sophie | 100% | 100% | 97% | 81% | 45% | 11% | |
| 37 | NAYAK Esha | 100% | 99% | 93% | 70% | 31% | 6% | |
| 38 | KALISHMAN Anna | 100% | 98% | 81% | 43% | 12% | 1% | - |
| 39 | LEOU Korina | 100% | 100% | 100% | 99% | 91% | 65% | 25% |
| 40 | PRESANTH Nandana | 100% | 99% | 92% | 68% | 31% | 7% | 1% |
| 41 | YOUNG Audrey | 100% | 100% | 97% | 82% | 49% | 16% | 2% |
| 42 | WONG Charlene | 100% | 99% | 86% | 51% | 15% | 2% | - |
| 43 | STRIZHEVSKY Ariel | 100% | 91% | 59% | 23% | 5% | - | |
| 44 | GUHA Surabhi | 100% | 81% | 43% | 13% | 2% | - | |
| 45 | BARROSO Isabela | 100% | 95% | 73% | 36% | 9% | 1% | |
| 46 | CHI Claire | 100% | 100% | 97% | 82% | 49% | 16% | 2% |
| 47 | LEE Kaitlin | 100% | 86% | 51% | 18% | 4% | - | - |
| 48 | GETZONI Mary | 100% | 50% | 13% | 2% | - | - | - |
| 49 | PROZUMENT Elizabeth | 100% | 90% | 59% | 24% | 6% | 1% | - |
| 50 | ALAMI Amira | 100% | 77% | 36% | 9% | 1% | - | |
| 51 | PARK Haylie | 100% | 78% | 36% | 9% | 1% | - | |
| 52 | NEUMAN Ella | 100% | 98% | 84% | 52% | 19% | 3% | |
| 53 | ERBSEN Sarah | 100% | 91% | 55% | 18% | 3% | - | - |
| 54 | VATS Ishita | 100% | 56% | 15% | 2% | - | - | - |
| 55 | BUTMAN Chloe Alexandra | 100% | 97% | 79% | 45% | 15% | 3% | - |
| 56 | GENTILE Vittoria | 100% | 98% | 83% | 52% | 19% | 3% | - |
| 57 | NAYAK Antara | 100% | 78% | 36% | 9% | 1% | - | |
| 58 | SIMMONS Kinley | 100% | 53% | 13% | 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.