Rockland Community College, Eugene Levy Field House - Suffern, NY, 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 | CROOKS Riley | - | 1% | 6% | 23% | 39% | 26% | 6% |
| 2 | ZHANG Chenfei | - | - | 1% | 6% | 24% | 43% | 26% |
| 3 | SPEARS Mya B | - | - | 2% | 9% | 29% | 41% | 19% |
| 3 | BROWN Aria | - | - | 4% | 17% | 36% | 32% | 10% |
| 5 | HU Anna | - | - | 2% | 11% | 29% | 38% | 19% |
| 6 | JEONG Katie | - | - | - | 1% | 10% | 36% | 52% |
| 7 | IANNUZZI Lucy | 2% | 14% | 31% | 33% | 17% | 3% | |
| 8 | LI Sonia | - | 4% | 16% | 33% | 33% | 13% | |
| 9 | SHMULER Fiona | - | 2% | 14% | 32% | 33% | 15% | 2% |
| 10 | XU Elaine | - | 6% | 23% | 36% | 25% | 8% | 1% |
| 11 | MEDVINSKY Alexandra | - | - | 4% | 16% | 33% | 35% | 12% |
| 12 | MACKAY Katherine | - | 2% | 11% | 30% | 39% | 19% | |
| 13 | LOURENCO Alexandra | 6% | 22% | 35% | 26% | 10% | 1% | |
| 14 | KWON Ava | 5% | 23% | 37% | 26% | 8% | 1% | |
| 15 | JOHNSON Neema | 1% | 9% | 27% | 36% | 22% | 5% | |
| 16 | ZHAO Selena | 2% | 15% | 32% | 32% | 15% | 3% | - |
| 17 | GUVEN Coco | - | - | 2% | 10% | 32% | 40% | 16% |
| 18 | CHRISTOTHOULOU Olympia C. | - | - | - | 4% | 19% | 41% | 35% |
| 19 | SUNG Olivia | 1% | 9% | 24% | 32% | 24% | 9% | 1% |
| 20 | HUANG Pierra | 1% | 7% | 22% | 34% | 26% | 9% | 1% |
| 21 | NAYAK Esha | - | 1% | 6% | 20% | 34% | 29% | 10% |
| 22 | KRASOWITZ Lucy | - | 3% | 13% | 29% | 33% | 18% | 4% |
| 23 | GUGALA Hanna | - | - | 1% | 7% | 26% | 43% | 23% |
| 24 | PASUPULETI Laya | 5% | 22% | 35% | 26% | 10% | 2% | - |
| 25 | RANJAN Diya | - | 4% | 19% | 35% | 29% | 11% | 1% |
| 26 | HUANG Rachael | - | - | 1% | 8% | 26% | 41% | 25% |
| 27 | MERMEGAS Olivia | - | 2% | 12% | 30% | 35% | 18% | 3% |
| 28 | ONG Lauren | - | 3% | 15% | 31% | 32% | 15% | 3% |
| 29 | PARK Haylie | 11% | 31% | 34% | 19% | 5% | 1% | |
| 30 | WU Yuwei | - | 1% | 8% | 25% | 37% | 24% | 6% |
| 31 | ZHANG Ashley | 1% | 6% | 21% | 35% | 27% | 9% | 1% |
| 32 | LIANG Claire | 3% | 19% | 34% | 28% | 12% | 2% | - |
| 33 | HENRY Soraya S. | - | 2% | 12% | 30% | 38% | 18% | |
| 34 | SCHAIBLE Sofia L. | - | - | 2% | 12% | 33% | 38% | 16% |
| 35 | BARNES Sarah | 2% | 11% | 28% | 33% | 20% | 6% | 1% |
| 36 | BUSH Bethany | - | - | 2% | 10% | 28% | 39% | 21% |
| 37 | XIE Nora | - | - | 2% | 12% | 33% | 38% | 15% |
| 38 | CHI Claire | - | 1% | 6% | 20% | 34% | 29% | 10% |
| 38 | LIU Kelly | - | 4% | 18% | 34% | 30% | 12% | 2% |
| 40 | KANDADAI Lara | - | 3% | 13% | 29% | 33% | 18% | 4% |
| 41 | KHOST Maeve | 1% | 7% | 27% | 37% | 22% | 6% | 1% |
| 41 | NANDA Maanika | 1% | 9% | 26% | 34% | 22% | 7% | 1% |
| 43 | CHEN Victoria | 4% | 19% | 34% | 29% | 12% | 3% | - |
| 44 | AKULA Roszlynn | 5% | 21% | 36% | 27% | 10% | 2% | - |
| 45 | MYAT Chloe | - | - | 4% | 16% | 33% | 34% | 13% |
| 46 | PALMIERI Giuliana M. | 14% | 35% | 33% | 14% | 3% | - | |
| 47 | TA-ZHOU Emma | - | 1% | 6% | 20% | 35% | 30% | 10% |
| 48 | REN Katherine | 2% | 12% | 27% | 32% | 20% | 6% | 1% |
| 49 | YANNOPOULOS Pompie | - | 4% | 16% | 33% | 32% | 14% | 2% |
| 50 | HALPERIN Elizabeth H. | - | 4% | 16% | 31% | 31% | 15% | 3% |
| 51 | LEE Kaitlin | 2% | 11% | 27% | 33% | 21% | 6% | 1% |
| 52 | NG Sophia | 1% | 9% | 25% | 34% | 23% | 7% | 1% |
| 53 | FUNG Iris | 1% | 6% | 22% | 36% | 28% | 8% | |
| 54 | NAYAK Antara | 5% | 22% | 36% | 27% | 9% | 1% | |
| 55 | KIM Grace | 24% | 41% | 26% | 8% | 1% | - | |
| 56 | VATS Ishita | 1% | 14% | 35% | 33% | 14% | 3% | - |
| 57 | VISWANATHAN Nishka | - | 5% | 20% | 34% | 28% | 11% | 2% |
| 58 | NADKARNI Marisa | 1% | 6% | 19% | 33% | 29% | 11% | 1% |
| 59 | WANG MONA | 12% | 32% | 33% | 17% | 4% | 1% | - |
| 60 | BIRNSTILL Reese | - | 2% | 12% | 28% | 34% | 20% | 4% |
| 61 | DUTA Lyra | 3% | 17% | 34% | 31% | 13% | 3% | - |
| 62 | LOO Kaitlyn | 1% | 10% | 27% | 36% | 22% | 5% | |
| 63 | HUANG Doris | - | 4% | 17% | 35% | 33% | 11% | |
| 64 | PADANILAM Lily | - | 1% | 4% | 17% | 34% | 33% | 11% |
| 65 | PRESANTH Nandana | 1% | 7% | 23% | 34% | 25% | 9% | 1% |
| 66 | BORGUETA Madison | 1% | 10% | 27% | 34% | 21% | 7% | 1% |
| 67 | LI Yuluo | 1% | 5% | 17% | 30% | 30% | 15% | 3% |
| 68 | NEUMAN Ella | 1% | 7% | 26% | 38% | 23% | 6% | 1% |
| 69 | CORPUS Hannah | 21% | 41% | 28% | 9% | 1% | - | - |
| 70 | BUTMAN Chloe Alexandra | 10% | 31% | 35% | 19% | 5% | - | |
| 71 | LIU Teresa | 32% | 42% | 21% | 5% | 1% | - | - |
| 72 | LIM Alexa J. | 5% | 20% | 34% | 28% | 12% | 2% | - |
| 72 | WANG JiaQi | 2% | 12% | 27% | 32% | 20% | 6% | 1% |
| 74 | STADNIK Emilia | - | 5% | 17% | 32% | 31% | 13% | 2% |
| 75 | BERRIOS Catalina | 5% | 20% | 33% | 27% | 12% | 3% | - |
| 76 | WONG Charlene | 3% | 19% | 38% | 29% | 10% | 1% | - |
| 77 | INSINGA Ava | 15% | 36% | 32% | 14% | 3% | - | - |
| 78 | KALISHMAN Anna | 9% | 30% | 35% | 19% | 5% | 1% | - |
| 79 | HO Sophia | 27% | 41% | 24% | 7% | 1% | - | - |
| 80 | FOSS Persephone | 1% | 9% | 26% | 35% | 23% | 6% | |
| 81 | BAINS Nandini | 8% | 28% | 37% | 21% | 6% | 1% | |
| 82 | BOLT - TURNER Carmen | 5% | 20% | 34% | 28% | 11% | 2% | |
| 83 | MUKHERJEE Moupriya | 17% | 37% | 30% | 12% | 3% | - | - |
| 84 | JUNG Elise | 27% | 45% | 22% | 5% | 1% | - | - |
| 85 | KIM Audrey | 4% | 19% | 32% | 28% | 14% | 3% | - |
| 86 | WANG Chloe | 23% | 46% | 24% | 6% | 1% | - | - |
| 87 | EJIOGU Adaugo | 13% | 39% | 34% | 12% | 2% | - | - |
| 88 | KWON Ava | 8% | 28% | 35% | 21% | 7% | 1% | - |
| 89 | DSOUZA Shayndel | 51% | 38% | 10% | 1% | - | - | - |
| 90 | BAIK Sarah | < 1% | 2% | 13% | 31% | 34% | 16% | 3% |
| 91 | HARRISON Allie | 39% | 43% | 16% | 2% | - | - | - |
| 92 | HUANG Zoe | 9% | 38% | 36% | 14% | 2% | - | - |
| 92 | EDUSA Leilani | 11% | 32% | 34% | 17% | 5% | 1% | - |
| 94 | CHAN Isla | 36% | 45% | 16% | 3% | - | - | - |
| 95 | BHARDWAJ Riya | 42% | 40% | 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.