Golisano Training Center at Nazareth University - Rochester, 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 | LIN Alexis | 100% | 100% | 100% | 99% | 89% | 53% | |
| 2 | YANG Hannah | 100% | 100% | 100% | 99% | 93% | 71% | 29% |
| 3 | CHEN Madeline | 100% | 100% | 100% | 100% | 98% | 85% | 45% |
| 3 | VILLER Alice | 100% | 100% | 100% | 98% | 87% | 55% | 16% |
| 5 | ZHANG Ashley | 100% | 100% | 99% | 95% | 79% | 47% | 14% |
| 6 | HAN Emma | 100% | 100% | 100% | 99% | 89% | 52% | |
| 7 | XI Emily | 100% | 100% | 98% | 89% | 62% | 24% | 4% |
| 8 | BOBE Arianna | 100% | 100% | 100% | 98% | 80% | 31% | |
| 9 | FURMAN Elizabeth | 100% | 100% | 100% | 99% | 86% | 39% | |
| 10 | XIE ANDREA | 100% | 100% | 99% | 93% | 73% | 36% | 7% |
| 11 | DACKO Katarina | 100% | 99% | 95% | 78% | 47% | 17% | 3% |
| 12 | FAN Joy | 100% | 100% | 100% | 99% | 94% | 72% | 29% |
| 13 | YU Chloe | 100% | 100% | 100% | 98% | 89% | 63% | 23% |
| 14 | TANG Jacquelyn | 100% | 98% | 85% | 56% | 22% | 4% | - |
| 15 | WU Evelyn | 100% | 100% | 97% | 82% | 52% | 20% | 3% |
| 16 | TRIVULCE Scarlett | 100% | 97% | 79% | 42% | 12% | 2% | - |
| 17 | ZHU YUNXI | 100% | 100% | 97% | 81% | 45% | 10% | |
| 19 | REDWINE Louise | 100% | 99% | 91% | 66% | 32% | 9% | 1% |
| 20 | YIN Elaine | 100% | 99% | 91% | 63% | 25% | 3% | |
| 21 | ZHAO Rachel | 100% | 97% | 82% | 50% | 18% | 3% | - |
| 22 | FAYEZ Malika | 100% | 100% | 100% | 97% | 82% | 40% | |
| 23 | LIU Brinley | 100% | 100% | 99% | 92% | 70% | 34% | 6% |
| 24 | SIU Mila | 100% | 99% | 95% | 78% | 48% | 18% | 3% |
| 25 | NEGRUT Sabina | 100% | 89% | 56% | 22% | 5% | - | - |
| 26 | KIM Charlotte | 100% | 99% | 88% | 57% | 20% | 2% | |
| 27 | LI Kayla | 100% | 99% | 90% | 64% | 30% | 7% | 1% |
| 28 | LEE Zoe | 100% | 98% | 87% | 56% | 19% | 2% | |
| 29 | ERATA Selena | 100% | 98% | 80% | 40% | 8% | - | |
| 30 | ZHAO Crystal | 100% | 98% | 87% | 59% | 25% | 5% | - |
| 31 | GORDON Winter | 100% | 89% | 55% | 19% | 3% | - | |
| 32 | CHUNG Yenna | 100% | 95% | 76% | 43% | 16% | 3% | - |
| 33 | CHEN freya | 100% | 100% | 95% | 76% | 43% | 14% | 2% |
| 34 | WANG Hailie | 100% | 99% | 88% | 59% | 26% | 6% | 1% |
| 35 | SELASSIE Semara | 100% | 85% | 48% | 15% | 2% | - | |
| 36 | MAO Faith | 100% | 96% | 70% | 29% | 6% | - | |
| 37 | YUSHCHENKO Ivanka | 100% | 97% | 80% | 43% | 12% | 1% | |
| 38 | CHEN Reina | 100% | 98% | 87% | 60% | 28% | 7% | 1% |
| 39 | GURTIN Sasha | 100% | 88% | 57% | 24% | 6% | 1% | - |
| 40 | LI ELVA | 100% | 91% | 62% | 26% | 6% | 1% | - |
| 41 | LEE Iona | 100% | 99% | 88% | 55% | 17% | 2% | |
| 42 | ARONSON Marlie | 100% | 99% | 85% | 49% | 15% | 1% | |
| 43 | LEE Zerah | 100% | 91% | 55% | 16% | 2% | - | |
| 44 | KIM Abigail | 100% | 100% | 95% | 74% | 34% | 5% | |
| 45 | RYU Natalee | 100% | 99% | 87% | 57% | 22% | 4% | - |
| 46 | VILLER Gabriella | 100% | 69% | 28% | 6% | 1% | - | - |
| 47 | LOUGH Abbie | 100% | 35% | 5% | - | - | - | |
| 48 | WANG Katherine | 100% | 89% | 55% | 20% | 3% | - | |
| 49 | KAUR Harman | 100% | 53% | 13% | 1% | - | - | |
| 50 | ECCLESTONE Tara | 100% | 97% | 75% | 33% | 6% | - | |
| 51 | YOUNG Penelope | 100% | 99% | 93% | 70% | 36% | 10% | 1% |
| 52 | LIU Zoe | 100% | 100% | 96% | 77% | 42% | 12% | 1% |
| 53 | AINSWORTH Esme | 100% | 99% | 89% | 65% | 32% | 9% | 1% |
| 53 | XU Selina (Tai Ran) | 100% | 80% | 40% | 11% | 2% | - | - |
| 55 | CHOI Noah | 100% | 93% | 63% | 26% | 5% | - | |
| 56 | DOROSHKEVICH Maria | 100% | 85% | 49% | 17% | 3% | - | - |
| 57 | LIANG Kristy | 100% | 99% | 91% | 66% | 32% | 8% | 1% |
| 58 | WILLIAMS Valentina | 100% | 47% | 11% | 1% | - | - | - |
| 59 | MENG Yinuo | 100% | 92% | 63% | 25% | 5% | 1% | - |
| 60 | YOON Michelle | 100% | 65% | 23% | 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.