NJ Convention & Exposition Center - Edison, 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 | HU Anna | - | - | 4% | 18% | 41% | 37% | |
| 2 | BERMAN Greta | - | - | 3% | 19% | 43% | 34% | |
| 3 | CHANG Norah | - | 2% | 14% | 36% | 37% | 12% | |
| 3 | ZHAO Selena | - | 1% | 11% | 30% | 35% | 19% | 4% |
| 5 | YANNOPOULOS Pompie | - | 1% | 6% | 20% | 34% | 30% | 10% |
| 6 | GENTILE Vittoria | - | 2% | 14% | 32% | 34% | 16% | 3% |
| 7 | NEDOPAKA Kateryna | - | 3% | 20% | 40% | 30% | 6% | |
| 8 | KHOST Maeve | 1% | 12% | 36% | 34% | 14% | 3% | - |
| 9 | DAMBAL Sasha | - | - | 2% | 13% | 32% | 37% | 16% |
| 10 | SCHAIBLE Sofia L. | - | - | 1% | 8% | 26% | 41% | 24% |
| 11 | BARROSO Isabela | - | - | 2% | 10% | 29% | 39% | 20% |
| 12 | HUANG Rachael | - | - | 2% | 15% | 42% | 41% | |
| 13 | VISWANATHAN Nishka | 6% | 27% | 37% | 23% | 7% | 1% | |
| 14 | SEVASTOPULO Sahra | - | 2% | 11% | 28% | 35% | 20% | 4% |
| 15 | CASTELO Soleil | - | 5% | 21% | 37% | 28% | 8% | |
| 16 | BORGUETA Madison | - | 4% | 15% | 30% | 32% | 16% | 3% |
| 17 | UEMOTO Lynn | - | 1% | 10% | 29% | 40% | 20% | |
| 18 | NIU Jessica | - | 5% | 21% | 36% | 29% | 8% | |
| 19 | REN Katherine | - | 2% | 13% | 32% | 37% | 16% | |
| 20 | NANDA Maanika | 4% | 23% | 38% | 26% | 8% | 1% | |
| 21 | CHIANG Melissa | - | - | 4% | 15% | 32% | 34% | 14% |
| 22 | LI Sonia | - | - | 3% | 14% | 33% | 36% | 14% |
| 23 | PARK Haylie | 1% | 8% | 31% | 39% | 19% | 3% | |
| 24 | WANG JiaQi | - | 6% | 26% | 40% | 23% | 4% | |
| 24 | SUNG Olivia | 2% | 11% | 29% | 36% | 19% | 3% | |
| 26 | SUN Yi | - | 4% | 18% | 36% | 32% | 10% | |
| 27 | HUANG Pierra | - | 4% | 23% | 40% | 27% | 5% | |
| 28 | BARNES Sarah | 1% | 9% | 27% | 34% | 21% | 6% | 1% |
| 29 | XU Elaine | - | 1% | 9% | 31% | 39% | 18% | 2% |
| 30 | LEE Kaitlin | 1% | 10% | 28% | 35% | 20% | 6% | 1% |
| 31 | NG Sophia | 3% | 15% | 33% | 33% | 14% | 2% | |
| 32 | ZHANG Ashley | 3% | 15% | 33% | 33% | 14% | 2% | |
| 33 | KIM Audrey | - | 4% | 17% | 34% | 31% | 12% | 2% |
| 34 | TA-ZHOU Emma | - | 3% | 15% | 34% | 35% | 14% | |
| 35 | LAFFY Lily | 1% | 9% | 29% | 37% | 20% | 4% | |
| 36 | WONG Charlene | 1% | 22% | 41% | 27% | 7% | 1% | |
| 37 | BERRIOS Catalina | - | 5% | 22% | 36% | 27% | 9% | 1% |
| 38 | BANEGAS Shelly | 15% | 38% | 32% | 12% | 2% | - | - |
| 39 | LI Tiffany | 2% | 14% | 30% | 32% | 17% | 4% | - |
| 40 | ZHOU Claire | - | - | 1% | 10% | 33% | 41% | 14% |
| 41 | SIROIS Neve | 13% | 33% | 33% | 16% | 4% | 1% | - |
| 42 | NADKARNI Marisa | 1% | 7% | 25% | 37% | 25% | 6% | |
| 43 | PROBASCO Leila | 2% | 15% | 34% | 32% | 14% | 2% | |
| 44 | TA-ZHOU Sophia | 5% | 26% | 38% | 23% | 6% | 1% | |
| 45 | MERMEGAS Olivia | - | 5% | 21% | 37% | 29% | 8% | |
| 46 | RANDALL-COLLINS Shea M. | 10% | 32% | 35% | 18% | 4% | - | |
| 47 | LEE Grace | 16% | 37% | 32% | 13% | 2% | - | |
| 48 | GOODWIN Julia | 23% | 46% | 25% | 6% | 1% | - | - |
| 49 | CHEN Victoria | 2% | 11% | 27% | 33% | 21% | 6% | 1% |
| 50 | JOHN Sophia | 2% | 13% | 33% | 34% | 15% | 2% | |
| 51 | VATS Ishita | 3% | 17% | 35% | 31% | 13% | 2% | |
| 52 | SMITH Genevieve | 35% | 46% | 16% | 2% | - | - | |
| 53 | SEO Yunseo | 45% | 40% | 13% | 2% | - | - | |
| 54 | TASSONE Charlie | 29% | 48% | 19% | 3% | - | - | |
| 55 | DESAUTELS Alexandra | 1% | 22% | 41% | 27% | 7% | 1% | |
| 56 | FANG Elena | 46% | 39% | 13% | 2% | - | - | |
| 57 | YERENKOVA Ameliia | 1% | 11% | 30% | 35% | 18% | 4% | - |
| 57 | ZHANG Audrey | 10% | 30% | 34% | 19% | 6% | 1% | - |
| 59 | ARIF Haniya | 1% | 11% | 29% | 35% | 19% | 5% | - |
| 60 | MISHRA Riona | 28% | 43% | 23% | 6% | 1% | - | - |
| 61 | KIM isabel | 30% | 42% | 22% | 6% | 1% | - | |
| 62 | FANG Darcy | 39% | 45% | 14% | 2% | - | - | - |
| 62 | HOWARD Seren | 51% | 38% | 10% | 1% | - | - | - |
| 64 | MADDISON Erica | 81% | 17% | 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.