Rockland Community College, Eugene Levy Field House - Suffern, NY, USA
Explore the probability of achieving at least a certain number of victories in the pool 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 | LEE Eden | 100% | 100% | 100% | 98% | 84% | 41% | |
| 2 | CHEN Madeline | 100% | 100% | 98% | 87% | 62% | 28% | 6% |
| 3 | YANG Hannah | 100% | 100% | 100% | 99% | 92% | 69% | 27% |
| 3 | NING Miranda | 100% | 100% | 100% | 100% | 97% | 83% | 42% |
| 5 | YARBILOVA Aya | 100% | 100% | 100% | 95% | 71% | 26% | |
| 6 | HOWARD Katherine | 100% | 100% | 97% | 85% | 57% | 23% | 4% |
| 7 | KIM Abigail | 100% | 99% | 90% | 60% | 23% | 3% | |
| 8 | CHEN Laila | 100% | 100% | 100% | 98% | 87% | 60% | 21% |
| 9 | MOKRETSOV Leah | 100% | 100% | 100% | 98% | 89% | 62% | 23% |
| 10 | KAKANI Aditi | 100% | 100% | 99% | 93% | 74% | 40% | 11% |
| 11 | GOFMAN Anastasia | 100% | 100% | 97% | 85% | 58% | 25% | 5% |
| 12 | HAN Emma | 100% | 100% | 99% | 90% | 59% | 18% | |
| 13 | XIE ANDREA | 100% | 100% | 99% | 94% | 70% | 27% | |
| 14 | XU Mulan | 100% | 100% | 98% | 86% | 54% | 15% | |
| 15 | NIKOLLA Vivienne | 100% | 99% | 88% | 59% | 22% | 3% | |
| 16 | ZHANG Ashley | 100% | 96% | 77% | 45% | 17% | 3% | - |
| 17 | KOUAME Candice | 100% | 100% | 99% | 92% | 66% | 24% | |
| 18 | HALL Sophie | 100% | 97% | 81% | 50% | 18% | 3% | - |
| 19 | AINSWORTH Esme | 100% | 99% | 93% | 72% | 38% | 12% | 1% |
| 20 | MEGGERS Arya | 100% | 100% | 98% | 87% | 60% | 26% | 5% |
| 21 | ZHANG Audrey | 100% | 100% | 96% | 79% | 47% | 16% | 2% |
| 22 | KIM Charlotte | 100% | 99% | 89% | 62% | 29% | 8% | 1% |
| 23 | CHEN Allison | 100% | 93% | 66% | 28% | 6% | - | |
| 24 | GRUDZINSKI Josephine | 100% | 93% | 68% | 33% | 9% | 1% | - |
| 25 | ALLIEVI Simone | 100% | 100% | 99% | 91% | 67% | 32% | 6% |
| 26 | ZHAO Crystal | 100% | 100% | 96% | 71% | 29% | 4% | |
| 27 | ZHAO Rachel | 100% | 98% | 83% | 46% | 13% | 1% | |
| 28 | SAJJA Anwita | 100% | 98% | 83% | 48% | 15% | 2% | |
| 29 | CHOI Noah | 100% | 77% | 32% | 7% | 1% | - | |
| 30 | LEE Iona | 100% | 90% | 62% | 28% | 8% | 1% | - |
| 31 | DONE Kennedy | 100% | 89% | 57% | 23% | 5% | 1% | - |
| 32 | KUO Stella | 100% | 98% | 88% | 60% | 26% | 6% | - |
| 33 | LAW Mila | 100% | 100% | 99% | 85% | 47% | 10% | |
| 34 | LAI Juliet | 100% | 98% | 83% | 52% | 20% | 4% | - |
| 35 | RICHARDS Seren | 100% | 99% | 93% | 73% | 40% | 13% | 2% |
| 36 | ERATA Selena | 100% | 86% | 33% | 6% | - | - | |
| 37 | LUO MAOSHUEN | 100% | 99% | 90% | 66% | 33% | 10% | 1% |
| 38 | WARD Imani | 100% | 96% | 78% | 44% | 15% | 3% | - |
| 39 | SIU Mila | 100% | 97% | 82% | 52% | 21% | 5% | - |
| 40 | NG Catherine | 100% | 100% | 100% | 97% | 75% | 35% | 6% |
| 41 | BONDE Trisha | 100% | 89% | 52% | 16% | 2% | - | |
| 42 | CHEN Reina | 100% | 95% | 71% | 34% | 8% | 1% | |
| 43 | MAO Faith | 100% | 99% | 90% | 59% | 20% | 3% | |
| 44 | WANG Katherine | 100% | 79% | 40% | 11% | 1% | - | |
| 45 | LIANG Kristy | 100% | 98% | 80% | 44% | 13% | 2% | - |
| 46 | QI Chelsie | 100% | 100% | 100% | 96% | 79% | 44% | 10% |
| 47 | LI Juliana | 100% | 94% | 71% | 36% | 11% | 2% | - |
| 48 | TANG Jacquelyn | 100% | 97% | 80% | 47% | 17% | 3% | - |
| 49 | KANDHI Aryaa | 100% | 100% | 93% | 60% | 20% | 2% | |
| 50 | CHANG Emma | 100% | 99% | 93% | 70% | 34% | 8% | |
| 51 | LEE Zoe | 100% | 96% | 79% | 46% | 16% | 3% | - |
| 52 | CHO Josephine | 100% | 95% | 74% | 40% | 13% | 2% | - |
| 53 | NG Victoria | 100% | 78% | 36% | 9% | 1% | - | |
| 54 | MAEDJE Abigail | 100% | 97% | 80% | 48% | 19% | 4% | - |
| 55 | BORODEN Aubrielle | 100% | 61% | 20% | 3% | - | - | - |
| 56 | CARACCIOLO Emma | 100% | 77% | 37% | 10% | 2% | - | - |
| 57 | ZHU Kaylee | 100% | 82% | 45% | 15% | 3% | - | - |
| 58 | LOUGH Abbie | 100% | 33% | 3% | - | - | - | |
| 59 | SHI Emma | 100% | 59% | 17% | 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.