Rockaway, NJ - Rockaway, 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 | TYLER Syd | - | - | - | 4% | 20% | 44% | 32% |
| 2 | LONG Cindy | - | 2% | 13% | 35% | 38% | 13% | |
| 3 | BELSLEY Devon K. | - | 1% | 8% | 24% | 36% | 25% | 6% |
| 3 | GU Sarah | - | 1% | 7% | 22% | 35% | 27% | 8% |
| 5 | BAFFA Arianna M. | - | 1% | 11% | 30% | 39% | 19% | |
| 6 | DROVETSKY Alexandra M. | - | - | - | 4% | 20% | 43% | 33% |
| 7 | XU Grace (XinYi) | - | - | 2% | 13% | 33% | 39% | 13% |
| 8 | KUZNETSOV Victoria | - | - | 2% | 10% | 29% | 39% | 20% |
| 9 | YANG Miranda (Yinuo) | - | - | 2% | 13% | 33% | 38% | 13% |
| 10 | MEHROTRA Anya | - | 2% | 11% | 31% | 39% | 17% | |
| 11 | YAO Jillian | - | 1% | 5% | 20% | 35% | 30% | 9% |
| 12 | SLACKMAN Valerie | - | 1% | 10% | 33% | 38% | 16% | 2% |
| 13 | SHEN Stephanie | - | 2% | 11% | 27% | 34% | 21% | 5% |
| 14 | DE JAGER Celine | - | 5% | 19% | 35% | 29% | 10% | 1% |
| 15 | LUO Ashley | - | 1% | 5% | 20% | 35% | 29% | 9% |
| 16 | GLASSNER Sophia Rose S. | 1% | 9% | 27% | 36% | 22% | 6% | 1% |
| 17 | GAO Judy | - | 3% | 12% | 26% | 33% | 21% | 5% |
| 18 | MCNEILL Claire A. | - | - | - | 3% | 16% | 43% | 39% |
| 19 | SZEWC Alexandra | - | 1% | 11% | 34% | 37% | 15% | 2% |
| 20 | BELAOUSSOFF Kira | - | 1% | 8% | 26% | 36% | 23% | 5% |
| 21 | GOLDBERG Sophie C. | 1% | 8% | 26% | 37% | 23% | 5% | - |
| 22 | HU Grace | - | - | 1% | 10% | 32% | 41% | 16% |
| 23 | FILIPPOV Nika D. | - | 1% | 7% | 22% | 34% | 27% | 8% |
| 24 | LIN Waiyuk | 1% | 9% | 29% | 37% | 21% | 4% | |
| 25 | SAAL Anna | - | 4% | 17% | 33% | 30% | 13% | 2% |
| 26 | ADVINCULA Anabella E. | - | 5% | 19% | 34% | 30% | 11% | 1% |
| 27 | ZAKHAROV Anne E. | 10% | 32% | 35% | 18% | 5% | 1% | - |
| 28 | WU Fan | - | 2% | 11% | 26% | 33% | 22% | 6% |
| 29 | HICKS Grace | 10% | 31% | 35% | 18% | 4% | - | - |
| 30 | LIN Julia L. | - | 1% | 6% | 20% | 34% | 29% | 10% |
| 31 | PAN Michelle | 1% | 11% | 30% | 35% | 18% | 4% | - |
| 32 | HUH Anna | 3% | 27% | 39% | 23% | 6% | 1% | |
| 33 | PARTE Isabella B. | 2% | 13% | 29% | 32% | 18% | 5% | 1% |
| 34 | TOMASELLO Olivia E. | 4% | 21% | 37% | 28% | 9% | 1% | |
| 35 | EBRAHIM Ameera H. | - | 5% | 18% | 32% | 29% | 13% | 2% |
| 36 | KOKES Ava | 5% | 25% | 38% | 24% | 7% | 1% | |
| 37 | CHERNYSHOVA Victoria | 1% | 9% | 31% | 38% | 18% | 3% | |
| 38 | APPLEBEE Andralyn | 10% | 32% | 35% | 18% | 5% | 1% | - |
| 39 | LIN Anna F. | - | 3% | 13% | 29% | 32% | 18% | 4% |
| 40 | DIDONATO Gianina L. | - | 5% | 19% | 33% | 28% | 12% | 2% |
| 41 | CORDERO Allison | 11% | 35% | 35% | 16% | 3% | - | - |
| 42 | WANG anne | - | 4% | 17% | 33% | 31% | 13% | 2% |
| 43 | MOK Chloe R. | 15% | 35% | 32% | 15% | 4% | - | - |
| 44 | LI AnnieSiliang | 2% | 12% | 30% | 33% | 18% | 5% | - |
| 45 | ZHANG Tina | - | 1% | 7% | 26% | 42% | 24% | |
| 46 | GUPTA Arishita | 18% | 36% | 30% | 13% | 3% | - | - |
| 46 | BONAR Natalia | 6% | 25% | 38% | 23% | 7% | 1% | - |
| 48 | SHAO Ariel | 1% | 8% | 23% | 33% | 25% | 9% | 1% |
| 48 | XU Jessica | 30% | 43% | 22% | 5% | 1% | - | - |
| 50 | ZENG Katrina | 11% | 32% | 34% | 18% | 5% | 1% | - |
| 51 | BOGUSLAVSKY Jenna | 10% | 31% | 35% | 19% | 5% | 1% | - |
| 52 | OAKE Erica | 1% | 11% | 39% | 35% | 12% | 2% | - |
| 53 | MING Cynthia | 33% | 42% | 20% | 4% | - | - | |
| 54 | SIDDIQUI Ammna K. | 2% | 16% | 35% | 32% | 13% | 2% | |
| 55 | BANKULLA Misha R. | 28% | 41% | 23% | 6% | 1% | - | - |
| 56 | PATEL Viha | 34% | 49% | 15% | 2% | - | - | - |
| 57 | BRANDWEIN Elizabeth | 70% | 26% | 4% | - | - | - | |
| 58 | KHITROV Samantha | 29% | 43% | 22% | 5% | 1% | - | - |
| 59 | HOSANAGAR Inchara | 39% | 48% | 12% | 1% | - | - | - |
| 60 | BULOVA Sophie | 9% | 32% | 35% | 18% | 5% | 1% | - |
| 61 | LEE Anna | 12% | 34% | 35% | 16% | 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.