Ryan Fieldhouse - Evanston, 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 | WANG Karen | - | - | - | 1% | 6% | 31% | 62% |
| 2 | KWON Athina | - | - | - | 3% | 23% | 74% | |
| 3 | PIRKOWSKI Amanda L. | - | - | - | 4% | 23% | 45% | 28% |
| 3 | DAMRATOSKI Anna Z. | - | - | - | 7% | 36% | 57% | |
| 5 | XIONG Angelica | - | - | 1% | 10% | 39% | 39% | 10% |
| 6 | KUNJAN Lena R. | - | - | 1% | 9% | 41% | 50% | |
| 7 | BECKMAN Ana | - | - | - | 3% | 16% | 42% | 40% |
| 8 | GARINA Ania (Ganusia) | - | - | - | 5% | 27% | 47% | 21% |
| 9 | SWENSON Nikita G. | - | - | 4% | 26% | 48% | 23% | |
| 10 | VIVEROS Montserrat | - | - | - | 5% | 36% | 58% | |
| 11 | JORGENSEN Kjirsten | 12% | 35% | 34% | 15% | 3% | < 1% | - |
| 12 | WADE-CURRIE Ava S. | - | - | - | 2% | 22% | 75% | |
| 13 | CHEN Helin | - | 1% | 16% | 43% | 32% | 7% | |
| 14 | LIU Christina A. | - | - | 3% | 23% | 52% | 22% | |
| 15 | LINARES Helena | - | - | - | 16% | 48% | 31% | 5% |
| 16 | SU Evelyn | - | 1% | 8% | 26% | 40% | 22% | 4% |
| 17 | PRAFIL CAPACCIO Rayllen Delfina | 1% | 7% | 25% | 36% | 24% | 7% | 1% |
| 18 | NGUYEN Kaylin A. | - | - | 1% | 34% | 44% | 19% | 3% |
| 19 | CHUANG Ramona | 3% | 33% | 43% | 19% | 3% | - | |
| 20 | MA Sophie | 3% | 17% | 37% | 33% | 10% | - | |
| 21 | BO GENESIS | 3% | 42% | 40% | 13% | 1% | - | |
| 21 | ELTERMAN Kate | - | 7% | 31% | 42% | 18% | 1% | |
| 23 | TANG Elaine | 2% | 14% | 38% | 35% | 10% | 1% | - |
| 24 | DOUGLAS Julia F. | - | - | 2% | 17% | 46% | 36% | |
| 25 | TIMMONS Sarah J. | - | - | 1% | 10% | 37% | 40% | 11% |
| 26 | SLAVIN-VINIKOV Ana | 1% | 9% | 27% | 35% | 22% | 5% | - |
| 27 | PROKOP Jeannine A. | - | 1% | 7% | 31% | 47% | 14% | |
| 27 | VARAN Kateryna | 21% | 46% | 28% | 5% | - | - | |
| 29 | HENRY Asha S. | - | 1% | 18% | 46% | 32% | 2% | |
| 30 | LIANG Jingjing | - | 4% | 20% | 41% | 32% | 3% | |
| 31 | MALLAVARPU saanvi | - | - | 2% | 12% | 34% | 40% | 12% |
| 32 | RUIZ Lusciana | 5% | 22% | 37% | 27% | 8% | 1% | - |
| 33 | NING Emma | - | - | - | 1% | 13% | 43% | 43% |
| 34 | SCHMITT Harper | 1% | 10% | 27% | 35% | 21% | 5% | - |
| 35 | NELSON Grace E. | 4% | 21% | 39% | 29% | 8% | - | |
| 36 | STERN Savannah | 1% | 17% | 51% | 26% | 5% | - | |
| 37 | BURKHARDT Krista L. | 23% | 65% | 11% | 1% | - | - | |
| 38 | SCHLIEP Anna J. | 1% | 18% | 43% | 31% | 7% | - | |
| 39 | STOCK Olivia | - | 1% | 16% | 44% | 32% | 7% | |
| 40 | DOBROSAVLJEVIĆ Kalina | 5% | 26% | 39% | 23% | 6% | 1% | - |
| 41 | BOTNER Olivia | - | 5% | 26% | 47% | 20% | 2% | |
| 42 | DEPAUW Adeline | 12% | 54% | 34% | 1% | - | - | - |
| 43 | BARTOSZUK Camilla | 2% | 16% | 40% | 33% | 8% | 1% | - |
| 44 | HART Jenna | 17% | 46% | 30% | 7% | - | - | - |
| 45 | MIINEA Elena | - | 2% | 18% | 43% | 34% | 4% | |
| 46 | NORCONK Claire R. | - | 2% | 35% | 46% | 16% | 1% | |
| 46 | SWENSON Alexandra | - | 11% | 37% | 39% | 12% | 1% | |
| 48 | ZAKAS Anna L. | - | 11% | 38% | 37% | 12% | 1% | |
| 49 | TANG Ellen | 29% | 43% | 23% | 5% | - | - | |
| 50 | MANIANGLUNG Jean | 15% | 56% | 26% | 3% | - | - | |
| 51 | LUNDSGAARD Emily | 85% | 14% | 1% | - | - | - | |
| 52 | MCKENNA Analise | 30% | 46% | 21% | 3% | - | - | |
| 53 | BAGAMANOVA Maria | 9% | 34% | 40% | 15% | 2% | - | |
| 54 | ANDERSON Nora E. | - | 1% | 8% | 25% | 38% | 24% | 3% |
| 55 | COWLES Trinity | 20% | 39% | 29% | 11% | 2% | - | - |
| 55 | MARZOUK Hafsa | 8% | 44% | 47% | 1% | - | - | - |
| 57 | BARANOSKI CHLOE | 14% | 36% | 33% | 14% | 3% | - | - |
| 58 | CULVER Hannah | 69% | 29% | 2% | - | - | - | |
| 59 | ALDORT Isabel | 68% | 30% | 2% | - | - | - | |
| 59 | KARLSON Taylor | 10% | 35% | 37% | 16% | 3% | - | |
| 61 | LABRA AVILA Julissa | 7% | 36% | 39% | 16% | 3% | - | - |
| 62 | CHEEVER Katie | 83% | 16% | 1% | - | - | - | |
| 63 | COLEMAN Kristen | 64% | 32% | 4% | - | - | - | - |
| 63 | LEE Seoyoon | 41% | 43% | 14% | 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.