Pasadena Convention Center - Pasadena, 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 | YAO Abby | 100% | 100% | 100% | 100% | 100% | 94% | 61% |
| 2 | KIM Sydney | 100% | 100% | 100% | 100% | 100% | 100% | 94% |
| 3 | ZEE Savannah | 100% | 100% | 100% | 99% | 89% | 47% | |
| 3 | HSU Rachel | 100% | 100% | 100% | 99% | 92% | 62% | 14% |
| 5 | YANG Hanli | 100% | 100% | 100% | 100% | 96% | 79% | 37% |
| 6 | ARYA Leela | 100% | 100% | 100% | 99% | 90% | 56% | 9% |
| 7 | WANG Doreen | 100% | 100% | 100% | 96% | 77% | 33% | |
| 8 | LIM Kensie | 100% | 100% | 100% | 94% | 70% | 27% | |
| 9 | MIYASHIRO Katelyn | 100% | 100% | 100% | 100% | 100% | 98% | 72% |
| 10 | FANG Kelervia | 100% | 100% | 100% | 98% | 82% | 38% | |
| 11 | PARK Lauren | 100% | 100% | 100% | 100% | 99% | 90% | 50% |
| 12 | RUI Jessie | 100% | 100% | 100% | 100% | 94% | 61% | |
| 13 | LEE Abigail | 100% | 100% | 96% | 74% | 34% | 6% | |
| 14 | AHN Hayley | 100% | 100% | 95% | 69% | 26% | 4% | |
| 15 | CHANG Olivia | 100% | 100% | 99% | 93% | 66% | 22% | |
| 16 | KIM Natalie | 100% | 100% | 100% | 93% | 64% | 19% | |
| 17 | JIN Jada Y | 100% | 100% | 100% | 99% | 89% | 58% | 14% |
| 18 | CHUNG Katie | 100% | 100% | 99% | 88% | 55% | 15% | |
| 19 | THERON Zoe | 100% | 100% | 100% | 100% | 100% | 97% | 72% |
| 20 | SAIFEE Zahra | 100% | 100% | 96% | 76% | 37% | 9% | 1% |
| 21 | SAIFEE Sakina | 100% | 100% | 100% | 96% | 75% | 32% | 3% |
| 21 | ZHANG Queeny | 100% | 100% | 100% | 99% | 88% | 48% | 9% |
| 23 | TEWARI Amaira | 100% | 100% | 99% | 87% | 45% | 7% | |
| 24 | ZHANG Viviana | 100% | 100% | 99% | 89% | 57% | 16% | |
| 25 | DENG Claire | 100% | 100% | 100% | 94% | 72% | 31% | 5% |
| 26 | KIM Ines | 100% | 100% | 98% | 84% | 52% | 18% | 2% |
| 27 | IRELAND Moira | 100% | 100% | 95% | 68% | 26% | 4% | - |
| 28 | KHANAL Sarah | 100% | 100% | 96% | 76% | 37% | 7% | - |
| 29 | WANG Ellen | 100% | 97% | 75% | 26% | 3% | - | |
| 30 | YU Sophie | 100% | 100% | 99% | 93% | 67% | 23% | |
| 31 | NICOLETTI Thea | 100% | 100% | 95% | 75% | 38% | 8% | - |
| 32 | CROWDER jordan Ali | 100% | 100% | 98% | 86% | 53% | 17% | 2% |
| 33 | CHEN Madeleine | 100% | 98% | 81% | 42% | 11% | 1% | |
| 34 | KENSICKI Phoebe | 100% | 100% | 100% | 100% | 98% | 86% | 45% |
| 35 | YUNG Zoe | 100% | 100% | 97% | 75% | 28% | 3% | |
| 36 | YANG Byanca | 100% | 78% | 33% | 7% | 1% | - | |
| 37 | DVOIRIS Maya | 100% | 100% | 99% | 93% | 67% | 24% | 1% |
| 38 | FU Joy | 100% | 100% | 98% | 83% | 45% | 11% | 1% |
| 39 | GOWDA Siyona | 100% | 100% | 99% | 91% | 62% | 20% | - |
| 40 | LUCAS Ava | 100% | 100% | 100% | 96% | 76% | 37% | 7% |
| 41 | BASTUNAS Marissa | 100% | 98% | 82% | 33% | 5% | - | - |
| 42 | SANTIAGO Rania | 100% | 94% | 68% | 31% | 7% | 1% | - |
| 43 | LI Sophia | 100% | 100% | 98% | 85% | 54% | 20% | 3% |
| 44 | NEUMANN Erika | 100% | 100% | 100% | 100% | 98% | 85% | 45% |
| 45 | MIYOSHI Kylie | 100% | 100% | 100% | 96% | 71% | 20% | |
| 46 | KIM Lauren | 100% | 100% | 93% | 66% | 26% | 4% | |
| 47 | FAN Lauren | 100% | 95% | 64% | 19% | 2% | - | |
| 48 | ZHANG Hannah | 100% | 100% | 98% | 85% | 42% | 6% | |
| 49 | TU Averie | 100% | 100% | 95% | 75% | 40% | 11% | 1% |
| 50 | BANDZELADZE Emma | 100% | 100% | 99% | 88% | 53% | 13% | 1% |
| 51 | ARUNKISHORE Dakshina | 100% | 100% | 97% | 80% | 45% | 14% | 2% |
| 52 | TAI Taphanie | 100% | 100% | 96% | 72% | 25% | 4% | - |
| 53 | ARCE BASURCO Juliana | 100% | 73% | 31% | 7% | 1% | - | - |
| 54 | LAVERY Lucy | 100% | 100% | 100% | 95% | 71% | 27% | 2% |
| 55 | LI Annabelle | 100% | 99% | 84% | 45% | 13% | 2% | - |
| 56 | CHENG Audrey | 100% | 100% | 100% | 99% | 86% | 45% | 8% |
| 57 | PAWAR Sanvi | 100% | 99% | 90% | 54% | 16% | 2% | - |
| 58 | YU Xintong | 100% | 97% | 76% | 35% | 8% | 1% | |
| 59 | MCLANAHAN Jasmine | 100% | 99% | 86% | 44% | 10% | 1% | |
| 60 | YUEN Kaitlyn | 100% | 94% | 67% | 30% | 7% | 1% | - |
| 61 | ZHANG Katie Q. | 100% | 99% | 87% | 57% | 21% | 3% | - |
| 62 | LING Camryn | 100% | 99% | 87% | 56% | 20% | 3% | - |
| 63 | BHANGOO Paloma | 100% | 99% | 90% | 59% | 21% | 3% | |
| 64 | ZHAN Catherine | 100% | 99% | 87% | 53% | 17% | 2% | |
| 65 | KIM Chloe | 100% | 76% | 32% | 6% | - | - | - |
| 66 | CERILO Bella | 100% | 58% | 13% | 1% | - | - | |
| 67 | DEJOY Leilah | 100% | 93% | 57% | 19% | 3% | - | |
| 68 | GROSSMAN Elizabeth | 100% | 89% | 55% | 19% | 3% | - | - |
| 69 | PARK Aileen | 100% | 81% | 37% | 8% | 1% | - | - |
| 70 | ZHU Claire | 100% | 89% | 49% | 14% | 2% | - | |
| 70 | CHO Rylee | 100% | 65% | 20% | 3% | - | - | |
| 72 | VALOUEVA Katerina | 100% | 92% | 51% | 11% | 1% | - | |
| 73 | LI Sophia | 100% | 74% | 26% | 3% | - | - | |
| 74 | YUEN Hannah | 100% | 42% | 6% | - | - | - | - |
| 75 | ALEKSANDROVA Mira | 100% | 88% | 49% | 12% | 1% | - | - |
| 76 | SHIN Ellie | 100% | 45% | 7% | - | - | - | - |
| 77 | TIAN Claire | 100% | 94% | 54% | 15% | 2% | - | - |
| 78 | CHOI Mackenzie | 100% | 40% | 7% | 1% | - | - | - |
| 78 | KIM Isabella | 100% | 94% | 68% | 30% | 7% | 1% | - |
| 80 | YANG Claire | 100% | 27% | 3% | - | - | - | - |
| 81 | FENG Sophia | 100% | 41% | 7% | 1% | - | - | |
| 82 | LIU Celia | 100% | 51% | 12% | 1% | - | - | |
| 83 | SOUSA Lauren | 100% | 36% | 5% | - | - | - | |
| 84 | RENGANATHAN Krithiga | 100% | 91% | 61% | 23% | 4% | - | - |
| 85 | HUANG Veronica | 100% | 92% | 54% | 18% | 3% | - | - |
| 86 | YOU Mina | 100% | 73% | 29% | 5% | - | - | - |
| 87 | DAM Sofi | 100% | 73% | 24% | 3% | - | - | |
| 88 | OH Amber | 100% | 84% | 32% | 5% | - | - | - |
| 89 | GAMACHE Camdyn Harper | 100% | 58% | 12% | 1% | - | - | |
| 90 | NAVARRO LeighAnn | 100% | 80% | 39% | 10% | 1% | - | - |
| 91 | ISBELL Nora | 100% | 80% | 27% | 4% | - | - | - |
| 92 | DOMANTAY Sophia | 100% | 81% | 39% | 8% | 1% | - | - |
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.