Berto Center / Also known as Felicity School - Deerfield, IL, 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 | MCSHERRY Ava | - | 1% | 5% | 21% | 41% | 31% | |
| 2 | HSU Kaylin | - | 2% | 11% | 31% | 40% | 17% | |
| 3 | DOROSHKEVICH Taisiia | - | - | - | - | 1% | 17% | 81% |
| 3 | WYNN Kylie | 6% | 27% | 37% | 22% | 6% | 1% | |
| 5 | LIU Enjia sherry | - | - | - | 4% | 19% | 41% | 35% |
| 6 | TANG Melody Fujiao | - | 3% | 16% | 33% | 31% | 14% | 2% |
| 7 | TUCKER ALARCON Frida | - | - | 2% | 12% | 38% | 48% | |
| 8 | WANG Jasmine | - | 1% | 7% | 26% | 42% | 23% | |
| 9 | HAFEZ Tahiyah | - | - | 1% | 7% | 25% | 41% | 26% |
| 10 | MARISI Gianna | - | - | 1% | 10% | 38% | 51% | |
| 11 | PARK Lina | - | 1% | 10% | 29% | 40% | 19% | |
| 12 | DUAN Sophie | - | 1% | 9% | 29% | 40% | 20% | 1% |
| 13 | SAIFEE Lamya | - | - | 1% | 8% | 26% | 40% | 24% |
| 14 | HAN Gian | - | 4% | 22% | 41% | 28% | 5% | |
| 15 | CHO Emily (Euran) | - | 4% | 17% | 33% | 31% | 14% | 2% |
| 16 | GAO Anne | - | 4% | 21% | 41% | 29% | 5% | |
| 17 | BROWN Lola | - | 1% | 6% | 22% | 37% | 27% | 7% |
| 18 | DENG Melissa | 1% | 6% | 22% | 38% | 28% | 6% | |
| 19 | PEVZNER Nicole | - | 1% | 6% | 24% | 41% | 26% | 2% |
| 20 | WANG Sophia | 1% | 5% | 19% | 33% | 29% | 12% | 2% |
| 21 | WANG CAROL | 1% | 6% | 22% | 35% | 27% | 9% | 1% |
| 22 | LICHTENSTEIGER Megan | - | 1% | 7% | 22% | 35% | 27% | 7% |
| 23 | BEAVER Ava | - | 3% | 14% | 34% | 36% | 14% | |
| 24 | WANG Joanna | 13% | 34% | 33% | 16% | 4% | - | |
| 25 | EVELAND Zoe | 4% | 18% | 34% | 30% | 12% | 2% | |
| 26 | CULLIVAN Sienna | - | 1% | 8% | 25% | 40% | 26% | |
| 26 | ZHANG Ivy | 7% | 26% | 37% | 23% | 6% | 1% | |
| 28 | COLLINS Anna | - | 6% | 27% | 41% | 22% | 4% | |
| 29 | BAE Yooju | 16% | 36% | 31% | 13% | 3% | - | - |
| 30 | WANG DINA C. | 2% | 18% | 37% | 31% | 11% | 1% | - |
| 31 | TSIMIKLIS Aphrodite | - | 2% | 11% | 28% | 35% | 21% | 4% |
| 32 | WANG Amabel | 1% | 10% | 30% | 37% | 19% | 3% | |
| 33 | URDANETA LARGURA Sylvia | 2% | 14% | 33% | 34% | 15% | 2% | |
| 34 | CROMWELL Keira | 1% | 8% | 26% | 37% | 24% | 5% | |
| 35 | JIN Sophia | 7% | 26% | 37% | 24% | 6% | - | |
| 36 | MALONE Ella | 1% | 6% | 22% | 34% | 26% | 10% | 1% |
| 37 | BLAKEY Heaven | 3% | 16% | 33% | 32% | 15% | 2% | |
| 38 | STONE Sydney | 3% | 17% | 33% | 31% | 14% | 2% | |
| 39 | QUINTERO Camila | 31% | 46% | 20% | 3% | - | - | |
| 39 | MORSE Katherine | 6% | 34% | 40% | 17% | 3% | - | |
| 41 | DESERANNO Seren | 4% | 19% | 34% | 30% | 12% | 2% | |
| 42 | TAN Dorathy | 1% | 10% | 29% | 37% | 20% | 3% | |
| 43 | CHENG Emily | 1% | 9% | 27% | 35% | 22% | 6% | 1% |
| 44 | HOOGSTRA Lucy | 7% | 25% | 36% | 23% | 8% | 1% | - |
| 45 | CAMPBELL June | 3% | 21% | 38% | 28% | 9% | 1% | - |
| 46 | PIQUETTE Annika | 17% | 39% | 31% | 11% | 2% | - | - |
| 47 | ZOLDAN Gweniveve A. | 1% | 6% | 22% | 35% | 26% | 9% | 1% |
| 47 | CAO Kayla | 4% | 19% | 34% | 29% | 12% | 2% | - |
| 49 | MCFARLANE Asha | 12% | 34% | 34% | 16% | 3% | - | |
| 50 | LIN isabella | 13% | 37% | 34% | 13% | 2% | - | |
| 51 | KHAN Leena | 5% | 30% | 39% | 20% | 5% | - | |
| 52 | CHUNG Stella | 33% | 43% | 20% | 4% | - | - | |
| 53 | TEPMAN Alexandra D. | 10% | 33% | 36% | 17% | 3% | - | |
| 54 | SCHRANK Sora | 3% | 21% | 41% | 28% | 7% | 1% | |
| 55 | HANNAH Abigail | 1% | 13% | 35% | 35% | 14% | 2% | - |
| 56 | KANG Marian | 12% | 37% | 34% | 14% | 3% | - | - |
| 57 | AADHI Hansika | 6% | 25% | 37% | 25% | 7% | 1% | |
| 58 | SHTEPA Rada | 59% | 34% | 7% | 1% | - | - | - |
| 59 | WANG Selina | 58% | 34% | 7% | 1% | - | - | |
| 60 | DIRKES Catherine | 1% | 8% | 24% | 34% | 24% | 8% | 1% |
| 61 | GE Lena Lan | 19% | 39% | 29% | 10% | 2% | - | - |
| 62 | JEANBAPTISTE Lauren | 6% | 30% | 41% | 20% | 4% | - | |
| 62 | WILLIAMS Olivia | 6% | 31% | 38% | 20% | 5% | - | |
| 64 | HOENEMIER Scarlett | 34% | 42% | 19% | 4% | - | - | - |
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.