Burlington, NJ - Burlington, 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 | RIZKALA Joanna | - | - | 3% | 15% | 33% | 34% | 14% |
| 2 | MAREK Sofia | - | - | 5% | 18% | 35% | 31% | 11% |
| 3 | GRINBERG Aliya | - | 1% | 8% | 23% | 36% | 26% | 7% |
| 3 | ALCEBAR Kayla | - | 2% | 11% | 27% | 34% | 21% | 5% |
| 5 | JIN Olivia P. | - | 3% | 13% | 30% | 33% | 17% | 3% |
| 6 | PRIEUR Lauren | - | - | 1% | 7% | 24% | 41% | 27% |
| 7 | MIKA Veronica | - | 3% | 16% | 31% | 31% | 15% | 3% |
| 8 | BAKER Audrey C. | - | 5% | 21% | 34% | 28% | 11% | 2% |
| 9 | LUKASHENKO Angelina | - | - | 3% | 15% | 33% | 35% | 13% |
| 10 | YUAN Greta | - | - | 4% | 21% | 39% | 29% | 7% |
| 11 | DUBOIS Lauren N. | - | - | - | 6% | 25% | 43% | 26% |
| 12 | ENGELMAN Madeline A. | - | - | - | 4% | 19% | 43% | 34% |
| 13 | SUBRAMANIAN Nitika | 1% | 9% | 26% | 35% | 22% | 7% | 1% |
| 14 | XIKES Katherine E. | 17% | 41% | 31% | 10% | 1% | < 1% | - |
| 15 | SOURIMTO Valeria | - | - | 4% | 20% | 38% | 29% | 7% |
| 16 | LEE Sophia | 1% | 14% | 33% | 33% | 16% | 4% | - |
| 17 | PROCACCINI Ashten V. | - | - | 4% | 16% | 34% | 34% | 13% |
| 18 | PAUL Lila | - | - | 3% | 14% | 32% | 36% | 15% |
| 19 | SHIH Christina | - | 2% | 11% | 29% | 34% | 19% | 4% |
| 20 | GOMERMAN Sophia | 1% | 12% | 35% | 36% | 14% | 2% | - |
| 21 | BALAKUMARAN Maya | - | - | 6% | 25% | 39% | 24% | 5% |
| 22 | LEUNG Ashlyn K. | 1% | 6% | 22% | 34% | 26% | 9% | 1% |
| 23 | JAVERI Amaya | 1% | 8% | 26% | 35% | 22% | 7% | 1% |
| 24 | JENKINS Scotland | 2% | 18% | 41% | 30% | 8% | 1% | - |
| 25 | MANSPERGER Leena | - | 7% | 24% | 35% | 25% | 9% | 1% |
| 26 | VADASZ Ibla P. | - | 4% | 19% | 35% | 30% | 12% | 2% |
| 27 | DUCKETT Madison | - | 2% | 12% | 28% | 33% | 20% | 5% |
| 28 | ADEBANKE Niara | - | 3% | 16% | 34% | 32% | 13% | 2% |
| 28 | NEIBART Fiona | 1% | 14% | 34% | 33% | 16% | 4% | - |
| 30 | NG Sarah W. | - | 5% | 20% | 34% | 28% | 11% | 1% |
| 31 | HILD Nisha | 1% | 12% | 31% | 34% | 18% | 4% | - |
| 32 | DANK Dina | - | 3% | 15% | 32% | 32% | 15% | 2% |
| 33 | LAU Jovana Y. | 12% | 33% | 34% | 17% | 4% | 1% | - |
| 34 | YUN Emma | 10% | 34% | 35% | 16% | 4% | - | - |
| 35 | LIN Selena | 24% | 43% | 26% | 7% | 1% | - | - |
| 36 | MARKOV Jessica R. | 51% | 38% | 10% | 1% | - | - | - |
| 37 | REN Xinling | 2% | 15% | 35% | 31% | 13% | 3% | - |
| 38 | HE Xi | 19% | 38% | 30% | 11% | 2% | - | - |
| 39 | SHINCHUK Ellisha | 32% | 45% | 19% | 4% | - | - | - |
| 40 | WU Helen | 86% | 13% | 1% | - | - | - | - |
| 41 | MONTORIO Lily M. | 10% | 45% | 34% | 9% | 1% | - | - |
| 42 | MARYASH Samantha | 58% | 33% | 7% | 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.