Fredericksburg Convention Center - Fredericksburg, VA, 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 | DAVIDOVA Kira | - | - | - | 2% | 14% | 41% | 43% |
| 2 | NADKARNI Marisa | - | - | - | 5% | 21% | 44% | 29% |
| 3 | YADAV Tishya | - | 3% | 16% | 33% | 31% | 14% | 2% |
| 3 | NG Sophia | - | - | 2% | 11% | 31% | 39% | 17% |
| 5 | VINOKUR Anita | - | - | - | 2% | 13% | 39% | 46% |
| 6 | KIM Grace | - | 1% | 11% | 32% | 37% | 17% | 3% |
| 7 | BORGUETA Madison | - | 1% | 7% | 22% | 36% | 27% | 8% |
| 8 | XU Elaine | - | - | 1% | 6% | 25% | 43% | 25% |
| 9 | FAN Alexandria | - | - | - | 3% | 17% | 41% | 39% |
| 10 | NANDA Maanika | - | 1% | 8% | 24% | 35% | 25% | 7% |
| 10 | NIU Jessica | - | - | 2% | 11% | 30% | 39% | 19% |
| 12 | VUDTHITHAMRONG Vivienne | - | 5% | 20% | 35% | 28% | 9% | 1% |
| 13 | HUANG Pierra | - | 2% | 15% | 34% | 33% | 14% | 2% |
| 14 | VATS Ishita | - | 5% | 20% | 35% | 29% | 10% | 1% |
| 15 | PEREIRA Izumi | 1% | 6% | 20% | 34% | 28% | 10% | 1% |
| 16 | SUNG Olivia | - | 2% | 11% | 31% | 39% | 17% | |
| 17 | REN Katherine | - | - | 1% | 9% | 29% | 40% | 19% |
| 18 | WONG Charlene | - | 2% | 10% | 27% | 35% | 21% | 5% |
| 19 | ZHANG Ashley | - | - | 2% | 10% | 30% | 40% | 18% |
| 20 | CHOWDHERY Myra | - | 1% | 6% | 20% | 35% | 29% | 9% |
| 21 | HUANG Zoe | - | 5% | 23% | 38% | 26% | 7% | 1% |
| 22 | LEE Kaitlin | 1% | 11% | 31% | 36% | 17% | 3% | |
| 23 | LIANG Claire | - | 3% | 20% | 37% | 29% | 9% | 1% |
| 24 | PARK Haylie | - | 2% | 10% | 27% | 36% | 22% | 4% |
| 25 | CHANG Annette | - | 1% | 5% | 21% | 38% | 29% | 7% |
| 26 | JOHNSON Neema | - | 1% | 8% | 28% | 41% | 21% | |
| 27 | ROSTHOLDER Hannah | 5% | 26% | 38% | 24% | 6% | 1% | |
| 28 | MAJEWSKA Maria | 1% | 9% | 26% | 35% | 22% | 6% | 1% |
| 29 | TA-ZHOU Sophia | 1% | 9% | 28% | 35% | 20% | 5% | - |
| 29 | LAFFY Lily | - | 1% | 8% | 27% | 38% | 22% | 4% |
| 31 | DESAUTELS Alexandra | - | 5% | 19% | 34% | 29% | 11% | 2% |
| 32 | SEVASTOPULO Sahra | - | 2% | 12% | 32% | 35% | 16% | 2% |
| 33 | ZHANG Audrey | 3% | 18% | 36% | 29% | 11% | 2% | - |
| 34 | WANG MONA | - | 3% | 16% | 35% | 32% | 13% | 2% |
| 35 | CHANG Norah | - | - | 1% | 8% | 28% | 42% | 21% |
| 36 | KO Ariel | 1% | 10% | 30% | 36% | 19% | 4% | - |
| 37 | FLEEGER Sophia | 1% | 10% | 29% | 36% | 19% | 5% | - |
| 38 | FANG Darcy | 8% | 39% | 37% | 14% | 2% | - | - |
| 39 | YOUNG Sienna | 1% | 9% | 26% | 35% | 22% | 6% | 1% |
| 40 | PIÑOL Annika | 41% | 41% | 15% | 3% | - | - | |
| 41 | HU Heidi | - | 1% | 8% | 25% | 35% | 24% | 6% |
| 42 | LIU Chelsea | - | 3% | 14% | 32% | 34% | 15% | 2% |
| 43 | ZHANG Nikki | 1% | 12% | 34% | 35% | 15% | 3% | - |
| 44 | NAKATA Gwyneth | 32% | 42% | 20% | 5% | 1% | - | - |
| 45 | PHILLIPPY Hannah | 13% | 39% | 33% | 13% | 2% | - | - |
| 46 | JOHNSON Marlee | 48% | 41% | 9% | 1% | - | - | - |
| 47 | ZOLOTUKHINA Adel | 2% | 14% | 32% | 33% | 16% | 4% | - |
| 48 | MALUKI Nia | - | 4% | 19% | 34% | 28% | 11% | 2% |
| 49 | WANG Selina | 20% | 39% | 29% | 10% | 2% | - | - |
| 50 | ONO Lisa | 3% | 20% | 37% | 29% | 9% | 1% | |
| 51 | MCCARTHY Nora Louisa Abrous | 10% | 36% | 36% | 15% | 3% | - | - |
| 52 | TOPALOV Julia | 18% | 39% | 30% | 11% | 2% | - | - |
| 53 | GUO Yuexi | 14% | 35% | 33% | 15% | 3% | - | - |
| 54 | SHOWKIER Amal | 2% | 13% | 31% | 34% | 16% | 3% | - |
| 55 | KANG Ellie | 56% | 34% | 8% | 1% | - | - | - |
| 56 | ZHANG Manyao | 33% | 42% | 20% | 4% | - | - | - |
| 57 | CHANG Kelly | 17% | 39% | 31% | 11% | 2% | - | - |
| 58 | CONVERSO-PARSONS Maia | 11% | 34% | 35% | 16% | 4% | - | - |
| 59 | MAZZURCO Marin | 43% | 42% | 13% | 2% | - | - | - |
| 60 | MARTINSON Corinne | 62% | 32% | 6% | - | - | - | - |
| 60 | GARCIA RODRIGUEZ Victoria Maria | 23% | 51% | 22% | 4% | - | - | - |
| 62 | JEON Kristen | 1% | 14% | 49% | 29% | 6% | - | - |
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.