Fredericksburg Expo & Conference 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 | FESTA Carina | - | - | 1% | 7% | 25% | 42% | 24% |
| 2 | XU Emily T. | - | 1% | 5% | 19% | 34% | 31% | 11% |
| 3 | YOUNG Audrey | - | 1% | 8% | 26% | 41% | 24% | |
| 3 | WANG yining | - | - | 2% | 12% | 31% | 38% | 17% |
| 5 | FERNANDEZ Martina | - | 5% | 17% | 32% | 30% | 13% | 2% |
| 6 | LEMUS-IAKOVIDOU ALEXANDRA | - | - | 1% | 5% | 21% | 42% | 31% |
| 7 | CHIARELLI Valentina | - | - | 1% | 7% | 24% | 41% | 27% |
| 8 | LIU Yifei | - | 1% | 11% | 31% | 39% | 17% | |
| 9 | WEI JoyAnn | - | - | - | 5% | 24% | 44% | 27% |
| 10 | MALEK Zolie | - | 3% | 15% | 32% | 33% | 15% | 2% |
| 11 | GUVEN Coco | - | 2% | 10% | 27% | 35% | 21% | 5% |
| 12 | DHAR Layla | - | 2% | 12% | 30% | 35% | 18% | 3% |
| 13 | STONE Coral | - | 2% | 15% | 32% | 33% | 15% | 3% |
| 14 | HUCHWAJDA Pola | - | 2% | 12% | 28% | 35% | 19% | 3% |
| 15 | PANTALEON-MAZOLA Amari | - | 3% | 14% | 31% | 33% | 17% | 3% |
| 16 | LATYSHAVA Stephanie | 5% | 22% | 34% | 26% | 10% | 2% | - |
| 17 | MERCHANT Aishwarya | - | - | 1% | 8% | 29% | 43% | 20% |
| 18 | LIU Sophie | - | - | - | 1% | 9% | 36% | 54% |
| 19 | BOYNTON Ainsley | 2% | 12% | 30% | 33% | 18% | 4% | - |
| 20 | CANSECO Carly | - | 7% | 26% | 38% | 24% | 5% | |
| 21 | KONDEV Elizabeth | - | 2% | 11% | 27% | 34% | 21% | 4% |
| 22 | WANG Callie | - | 2% | 14% | 32% | 33% | 15% | 3% |
| 23 | FLATT Sophia | - | 1% | 9% | 27% | 36% | 22% | 5% |
| 24 | LI Alexis | 3% | 17% | 33% | 30% | 14% | 3% | - |
| 25 | KURAEVA Vasilisa | - | 4% | 19% | 37% | 31% | 10% | |
| 26 | HU Anna | 1% | 7% | 21% | 33% | 26% | 10% | 1% |
| 27 | WENG Amber | 1% | 14% | 39% | 33% | 11% | 2% | - |
| 28 | ZENG Sarah | - | 1% | 6% | 20% | 35% | 29% | 10% |
| 29 | DEHON Inès | - | 3% | 15% | 34% | 35% | 12% | |
| 30 | DAMBAL Sasha | - | 9% | 31% | 37% | 19% | 4% | |
| 31 | ZHENG Valentina | - | 2% | 12% | 30% | 34% | 18% | 4% |
| 32 | MYAT Chloe | - | 1% | 8% | 24% | 36% | 24% | 5% |
| 33 | BAIREDDY Maya | 14% | 35% | 33% | 14% | 3% | - | - |
| 34 | WANG Caroline | 2% | 14% | 33% | 34% | 15% | 2% | |
| 35 | ZHANG Emily | 5% | 23% | 37% | 26% | 8% | 1% | |
| 36 | KHOST Maeve | - | 2% | 13% | 35% | 35% | 13% | 2% |
| 37 | BERNARD Kathryn | - | 4% | 16% | 33% | 31% | 13% | 2% |
| 38 | CHAN Madeleine V. | 5% | 23% | 36% | 26% | 9% | 1% | - |
| 39 | HE Lizbeth | - | - | 2% | 10% | 29% | 41% | 19% |
| 40 | ROOPRAI Amarjot | - | 1% | 11% | 33% | 37% | 16% | 2% |
| 41 | LEE Alyson | 6% | 26% | 36% | 23% | 7% | 1% | - |
| 42 | RANJAN Diya | 8% | 29% | 37% | 20% | 5% | - | |
| 43 | CHAVAN Arya | 2% | 11% | 28% | 34% | 20% | 5% | - |
| 44 | PRESANTH Nandana | 7% | 27% | 36% | 22% | 6% | 1% | - |
| 45 | HAMMERSTROM Aria | 4% | 18% | 34% | 30% | 12% | 2% | - |
| 46 | FAVO Isabella | 1% | 19% | 39% | 30% | 10% | 1% | |
| 47 | CHANG Julia | 20% | 39% | 29% | 10% | 2% | - | |
| 48 | FLEEGER Sophia | 88% | 12% | 1% | - | - | - | |
| 49 | MCGRAW Sadie | 5% | 23% | 36% | 26% | 9% | 2% | - |
| 50 | CARTER Keely | 5% | 22% | 35% | 26% | 9% | 1% | - |
| 51 | PROBASCO Leila | 2% | 14% | 31% | 32% | 16% | 3% | - |
| 52 | BAINS Nandini | 28% | 42% | 23% | 6% | 1% | - | - |
| 53 | TA-ZHOU Emma | 20% | 38% | 29% | 11% | 2% | - | - |
| 54 | CROMPTON Celine | 13% | 33% | 33% | 16% | 4% | 1% | - |
| 55 | ROUIS Nina | 61% | 32% | 6% | 1% | - | - | - |
| 56 | BRUNGARDT Gabriela | 31% | 47% | 19% | 3% | - | - | - |
| 57 | CHI Claire | 6% | 24% | 35% | 24% | 9% | 1% | - |
| 58 | CHO Kaeli M. | 10% | 46% | 32% | 10% | 1% | - | - |
| 58 | CHEN Yuhan (Daisy) | 17% | 36% | 31% | 13% | 3% | - | - |
| 60 | BARROSO Isabela | 14% | 36% | 33% | 14% | 3% | - | - |
| 61 | FORTIN Emily | 34% | 48% | 16% | 2% | - | - | - |
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.