Santa Clara Convention Center - Santa Clara, CA, 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 | YIP Allison | 100% | 100% | 100% | 100% | 95% | 76% | 34% |
| 2 | LI Anna | 100% | 100% | 100% | 100% | 93% | 60% | |
| 3 | XU Aasta | 100% | 100% | 100% | 100% | 97% | 82% | 41% |
| 3 | LI Ariel | 100% | 100% | 100% | 99% | 94% | 72% | 27% |
| 5 | XU Amy(Chenyu) | 100% | 100% | 100% | 100% | 100% | 96% | 69% |
| 6 | FU Shannon | 100% | 100% | 100% | 100% | 100% | 99% | 84% |
| 7 | ANDRUS Allie | 100% | 100% | 100% | 94% | 65% | 19% | |
| 8 | SUN Milly | 100% | 100% | 99% | 91% | 64% | 22% | |
| 9 | LI Allison | 100% | 100% | 98% | 88% | 58% | 19% | |
| 10 | YOUNG Nicole | 100% | 100% | 100% | 99% | 92% | 67% | 26% |
| 11 | DAI Sophie | 100% | 100% | 96% | 80% | 49% | 17% | 2% |
| 12 | DU Chelsea | 100% | 100% | 100% | 95% | 74% | 34% | 4% |
| 13 | YANG Nina | 100% | 100% | 96% | 80% | 48% | 17% | 2% |
| 14 | WANG Nicole | 100% | 100% | 100% | 98% | 83% | 38% | |
| 15 | YU Jiaming | 100% | 99% | 92% | 70% | 35% | 9% | 1% |
| 16 | LI zoey | 100% | 80% | 39% | 10% | 1% | - | |
| 17 | LIAO irene | 100% | 100% | 100% | 100% | 95% | 75% | 32% |
| 18 | XIONG Alice | 100% | 100% | 100% | 99% | 92% | 68% | 28% |
| 19 | CHEN Stephanie | 100% | 100% | 100% | 98% | 90% | 63% | 23% |
| 20 | LEE Rebecca | 100% | 99% | 85% | 46% | 13% | 2% | - |
| 21 | REN Harper | 100% | 100% | 99% | 89% | 60% | 21% | 1% |
| 22 | ARNOLD Evangeline | 100% | 100% | 96% | 76% | 32% | ||
| 23 | YU Chloe | 100% | 100% | 99% | 92% | 65% | 23% | |
| 24 | VIJAY Vaishnavi | 100% | 100% | 100% | 98% | 85% | 51% | 13% |
| 25 | SHIH Eva | 100% | 99% | 92% | 67% | 31% | 7% | 1% |
| 26 | PARKE Jaime | 100% | 100% | 93% | 63% | 21% | 2% | - |
| 27 | YANG Arianna | 100% | 97% | 82% | 48% | 16% | 2% | |
| 28 | MUKKU Emily | 100% | 99% | 83% | 44% | 10% | 1% | |
| 29 | CHONG Emma | 100% | 95% | 74% | 39% | 12% | 1% | |
| 30 | ZHANG Carina | 100% | 100% | 96% | 75% | 33% | 5% | |
| 31 | ZHAO Ellie | 100% | 100% | 98% | 82% | 41% | 9% | 1% |
| 32 | WONG Isabelle | 100% | 100% | 98% | 89% | 64% | 28% | 5% |
| 33 | BERESTOVITSKY Eva | 100% | 100% | 97% | 82% | 51% | 19% | 3% |
| 34 | SUN Joanna | 100% | 97% | 77% | 30% | 3% | ||
| 35 | KOU Cynthia | 100% | 100% | 100% | 96% | 80% | 45% | 11% |
| 36 | FLYNN Kensington | 100% | 99% | 94% | 73% | 37% | 8% | |
| 37 | SHI Elle | 100% | 100% | 98% | 86% | 49% | 9% | |
| 38 | HERNASA Elsa | 100% | 98% | 85% | 53% | 20% | 4% | - |
| 39 | PAN Zoe | 100% | 100% | 98% | 87% | 59% | 25% | 4% |
| 40 | KUSHNERENKO Maiia | 100% | 97% | 69% | 27% | 4% | - | |
| 41 | RAJ Indra | 100% | 100% | 100% | 96% | 79% | 44% | 10% |
| 42 | HUANG Jui-An | 100% | 92% | 64% | 27% | 6% | - | |
| 43 | SCHMIDT Alexis | 100% | 74% | 30% | 6% | - | ||
| 44 | WANG Yvonne | 100% | 100% | 99% | 93% | 73% | 37% | 8% |
| 45 | WANG Phoebe | 100% | 99% | 93% | 71% | 36% | 9% | 1% |
| 46 | DU Chloe | 100% | 100% | 100% | 100% | 96% | 75% | 29% |
| 47 | SHEN Isabella | 100% | 98% | 86% | 53% | 18% | 3% | - |
| 48 | WANG Kercedes Ye | 100% | 98% | 86% | 55% | 22% | 5% | - |
| 49 | LI Celine | 100% | 90% | 55% | 19% | 3% | - | - |
| 50 | LI Alexandra | 100% | 100% | 96% | 77% | 41% | 11% | 1% |
| 51 | YANG Emma | 100% | 70% | 22% | 2% | - | ||
| 52 | LOO Samantha | 100% | 89% | 56% | 20% | 3% | - | |
| 53 | XIE Zhiran (Celine) | 100% | 90% | 53% | 14% | 2% | - | |
| 55 | MANDAP Natalya | 100% | 96% | 78% | 44% | 15% | 2% | - |
| 56 | ZHANG Joy | 100% | 99% | 91% | 65% | 31% | 8% | 1% |
| 57 | DEFENSOR Ella | 100% | 98% | 86% | 55% | 21% | 4% | - |
| 58 | MIAO Anthea | 100% | 98% | 86% | 54% | 18% | 2% | |
| 59 | DEJOY Leilah | 100% | 100% | 98% | 88% | 57% | 18% | 1% |
| 60 | RONG Hilary | 100% | 100% | 95% | 77% | 44% | 14% | 2% |
| 61 | WU Angela | 100% | 99% | 85% | 47% | 12% | 1% | |
| 62 | STEPHAN Antje Elisa | 100% | 98% | 85% | 55% | 22% | 4% | - |
| 63 | KUANG Isabella | 100% | 96% | 76% | 41% | 14% | 2% | - |
| 64 | HENDERSON Ella | 100% | 93% | 64% | 27% | 7% | 1% | - |
| 65 | LI Mia | 100% | 96% | 74% | 38% | 11% | 2% | - |
| 66 | LU Chu | 100% | 95% | 71% | 32% | 7% | 1% | - |
| 67 | MARTYNOVA Veronica | 100% | 65% | 24% | 5% | 1% | - | - |
| 68 | SANTIAGO Mara | 100% | 98% | 85% | 51% | 17% | 2% | - |
| 69 | LUO Xinyue | 100% | 88% | 54% | 21% | 5% | 1% | - |
| 70 | YADAGIRI Aditi | 100% | 99% | 92% | 66% | 28% | 5% | - |
| 71 | TRUONG Chloe | 100% | 99% | 89% | 61% | 24% | 4% | - |
| 72 | LEE Hyelyn | 100% | 93% | 68% | 32% | 8% | 1% | |
| 73 | MRABET Maya | 100% | 100% | 98% | 85% | 53% | 16% | 2% |
| 74 | MENDIRATTA Olivia | 100% | 88% | 55% | 22% | 5% | - | - |
| 74 | LIU Emma | 100% | 96% | 78% | 43% | 14% | 2% | - |
| 76 | SHIN Nayun | 100% | 100% | 96% | 79% | 45% | 14% | 2% |
| 78 | YU Elise | 100% | 88% | 49% | 12% | 1% | - | |
| 79 | KUNG Chang-Jie | 100% | 100% | 97% | 72% | 16% | ||
| 80 | SU Hermione Su | 100% | 85% | 46% | 13% | 2% | - | - |
| 81 | TRUONG Camilla | 100% | 94% | 66% | 28% | 6% | 1% | - |
| 82 | CHADHA Ditvi | 100% | 88% | 55% | 22% | 5% | 1% | - |
| 83 | LI Elaine | 100% | 86% | 50% | 17% | 3% | - | |
| 84 | LIU Aubrey | 100% | 72% | 31% | 8% | 1% | - | - |
| 85 | SHIH Cayla | 100% | 59% | 18% | 3% | - | - | - |
| 86 | GHALI Lina | 100% | 84% | 43% | 12% | 2% | - | - |
| 87 | KAUL Ritisha | 100% | 100% | 96% | 73% | 29% | 4% | - |
| 88 | YE Charlotte | 100% | 59% | 16% | 2% | - | - | - |
| 89 | TOYOFUKU Evelyn | 100% | 64% | 20% | 2% | - | - | |
| 91 | YAO Astrid | 100% | 55% | 15% | 2% | - | - | - |
| 92 | LA Evelyn | 100% | 25% | 2% | - | - | - | |
| 93 | TSE Emma | 100% | 91% | 62% | 27% | 7% | 1% | - |
| 94 | WAGENAAR Ava | 100% | 74% | 33% | 9% | 1% | - | - |
| 95 | HWANG Faith | 100% | 62% | 18% | 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.