Richmond, VA - Richmond, 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 | PADHYE Tanishka | - | - | 4% | 16% | 35% | 35% | 10% |
| 2 | MACHULSKY Leehi | - | - | - | - | 2% | 21% | 77% |
| 3 | JAKEL Sophia N. | - | - | 1% | 12% | 42% | 45% | |
| 3 | GAJJALA Sharika R. | - | - | 1% | 9% | 28% | 41% | 21% |
| 5 | NELSON-LOVE Lily B. | - | - | - | 2% | 14% | 41% | 43% |
| 6 | MUELLER Emma M. | 1% | 8% | 26% | 37% | 22% | 6% | 1% |
| 7 | ZHANG Tina Tianyi | - | - | 4% | 21% | 44% | 32% | |
| 8 | MEHROTRA Anya | - | - | 1% | 9% | 28% | 40% | 21% |
| 9 | ALEXANDROV Katherine S. | - | 2% | 14% | 38% | 36% | 10% | |
| 10 | SMOTRITSKY Mia | - | 2% | 11% | 29% | 38% | 19% | 2% |
| 11 | HAFEEZ Hiba | - | 2% | 15% | 34% | 33% | 14% | 2% |
| 12 | ELSTON Sophia | 1% | 6% | 20% | 33% | 28% | 11% | 2% |
| 13 | KIM Zoe L. | - | 1% | 7% | 30% | 46% | 17% | |
| 14 | KORFONTA Jolie | - | 4% | 19% | 36% | 30% | 9% | 1% |
| 15 | LIN Elaine | 1% | 10% | 27% | 35% | 21% | 5% | - |
| 16 | FURMAN Maria | - | 6% | 24% | 38% | 25% | 6% | - |
| 17 | DESAI Meera P. | - | - | 3% | 16% | 35% | 34% | 11% |
| 18 | SEBASTIAN Felicity A. | - | - | - | 2% | 12% | 41% | 45% |
| 19 | POPOVICI Alina B. | - | 3% | 14% | 30% | 33% | 17% | 3% |
| 20 | ZHANG Victoria R. | - | 2% | 14% | 37% | 36% | 11% | |
| 21 | REID Anousheh | - | 2% | 9% | 25% | 35% | 23% | 6% |
| 22 | NGUYEN Tallulah | - | 2% | 12% | 28% | 34% | 20% | 4% |
| 23 | CALDERA Lexi I. | - | 1% | 10% | 29% | 37% | 20% | 4% |
| 24 | WITTER Catherine A. | 1% | 9% | 27% | 36% | 22% | 5% | - |
| 25 | RUNIONS Emersyn | - | - | 1% | 5% | 21% | 41% | 32% |
| 26 | HAFEEZ Hania | - | 2% | 13% | 32% | 36% | 16% | 1% |
| 27 | ZIGALO Elizabeth | - | - | 2% | 11% | 29% | 38% | 20% |
| 28 | JAKEL Alysa C. | 7% | 29% | 38% | 21% | 5% | 1% | - |
| 29 | DOROSHKEVICH Victoriia | - | - | 2% | 11% | 33% | 41% | 13% |
| 30 | MALLAVARPU Aarthi C. | - | - | 1% | 9% | 30% | 41% | 18% |
| 31 | YANG Alisa | 1% | 9% | 26% | 34% | 22% | 7% | 1% |
| 32 | ZHU Serene M. | 7% | 27% | 36% | 22% | 7% | 1% | - |
| 33 | TYTELL Elizabeth | 31% | 41% | 21% | 5% | 1% | - | - |
| 34 | GAURIAT Jade S. | 1% | 12% | 32% | 35% | 17% | 3% | - |
| 35 | LEE Yedda | - | 1% | 7% | 26% | 38% | 23% | 5% |
| 36 | SPRINGER Sierra | 26% | 46% | 23% | 4% | - | - | |
| 37 | HESS Heidi J. | 1% | 8% | 32% | 41% | 17% | 2% | |
| 38 | GEVA Eliana | 18% | 37% | 30% | 12% | 2% | - | - |
| 39 | MUN Brianna K. | 3% | 20% | 37% | 29% | 10% | 1% | - |
| 40 | PRIHODKO Nina | 3% | 16% | 32% | 31% | 15% | 3% | - |
| 41 | WONG Alexandra R. | 3% | 19% | 37% | 29% | 10% | 1% | - |
| 42 | KIM Jayna | 1% | 14% | 36% | 33% | 14% | 3% | - |
| 43 | BURCHETT Victoria | 1% | 10% | 26% | 34% | 22% | 6% | 1% |
| 44 | KUMAR Eva | 17% | 37% | 31% | 12% | 2% | - | - |
| 45 | AZMEH nour | 1% | 14% | 39% | 35% | 10% | 1% | |
| 46 | PEELER Julia | 2% | 13% | 31% | 34% | 17% | 4% | - |
| 47 | YAO KATHARINE | - | 4% | 17% | 32% | 30% | 13% | 2% |
| 48 | SMUK Alexandra S. | 15% | 37% | 32% | 13% | 3% | - | - |
| 49 | TSIPORUKHA Mia | 42% | 41% | 15% | 2% | - | - | - |
| 50 | CHANG Ella | 12% | 41% | 34% | 11% | 2% | - | - |
| 51 | NEELAM Neha | 28% | 48% | 20% | 3% | - | - | |
| 52 | LIU Nicole | 3% | 21% | 41% | 27% | 7% | 1% | |
| 53 | NIX Reagan | 35% | 46% | 17% | 2% | - | - | |
| 54 | SWENSON Nikita G. | 1% | 7% | 24% | 35% | 25% | 7% | 1% |
| 55 | MALLAVARPU saanvi | 5% | 24% | 37% | 25% | 8% | 1% | - |
| 56 | NELSON Grace E. | 32% | 44% | 20% | 4% | - | - | - |
| 57 | NIKOLIC DE JACINTO Alix P. | 52% | 38% | 9% | 1% | - | - | - |
| 58 | YOU Emily | 30% | 47% | 20% | 3% | - | - | |
| 59 | KEE Bea Isabelle | 17% | 41% | 30% | 9% | 1% | - | - |
| 60 | IVY Zhao | 8% | 26% | 35% | 22% | 7% | 1% | - |
| 61 | PINNAMANENI Drithi | 39% | 41% | 16% | 3% | - | - | - |
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.