San Joaquin County Fairgrounds - Stockton, 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 | CHAN Mila | 100% | 100% | 100% | 100% | 100% | 99% | 84% |
| 2 | ZHOU Joi | 100% | 100% | 100% | 100% | 100% | 99% | 87% |
| 3 | CHANG Lydia | 100% | 100% | 100% | 100% | 100% | 99% | 86% |
| 3 | XIA Isabella | 100% | 100% | 100% | 100% | 97% | 81% | 39% |
| 5 | TEWARI Amaira | 100% | 100% | 100% | 97% | 83% | 46% | 6% |
| 6 | NICOLETTI Thea | 100% | 100% | 99% | 93% | 68% | 27% | 2% |
| 7 | ARYA Leela | 100% | 100% | 99% | 92% | 67% | 25% | |
| 8 | YU Xintong | 100% | 100% | 93% | 68% | 30% | 5% | |
| 9 | YU Sophie | 100% | 100% | 100% | 100% | 100% | 97% | 73% |
| 10 | MIYOSHI Kylie | 100% | 100% | 100% | 100% | 94% | 62% | |
| 11 | HOM Emma | 100% | 100% | 96% | 77% | 41% | 9% | |
| 12 | KIM Natalie | 100% | 100% | 98% | 87% | 56% | 17% | |
| 13 | AHN Hayley | 100% | 100% | 99% | 94% | 75% | 40% | 8% |
| 14 | TIAN Claire | 100% | 96% | 77% | 43% | 14% | 2% | - |
| 15 | WANG Ellen | 100% | 99% | 89% | 58% | 19% | 2% | |
| 16 | PAWAR Sanvi | 100% | 99% | 88% | 56% | 20% | 3% | - |
| 17 | KIM Ines | 100% | 99% | 92% | 68% | 32% | 8% | 1% |
| 18 | KHANAL Sarah | 100% | 100% | 100% | 99% | 89% | 54% | 5% |
| 19 | DEJOY Leilah | 100% | 100% | 96% | 80% | 47% | 15% | 2% |
| 20 | JOESUF Thea | 100% | 100% | 96% | 76% | 37% | 5% | |
| 21 | IRELAND Moira | 100% | 100% | 94% | 73% | 38% | 10% | - |
| 21 | HSU Rachel | 100% | 100% | 100% | 100% | 96% | 79% | 36% |
| 23 | ARUNKISHORE Dakshina | 100% | 100% | 100% | 97% | 82% | 47% | 11% |
| 24 | LUO Olivia | 100% | 99% | 88% | 60% | 24% | 4% | - |
| 25 | ZALTZMAN Maya | 100% | 99% | 94% | 74% | 39% | 11% | 1% |
| 26 | KO Adeline | 100% | 97% | 81% | 49% | 17% | 3% | - |
| 27 | ZHANG Annabelle | 100% | 99% | 93% | 70% | 34% | 8% | - |
| 28 | LAM Dorris Yandor | 100% | 100% | 98% | 85% | 52% | 15% | 1% |
| 29 | LI Audrey | 100% | 100% | 95% | 72% | 33% | 7% | |
| 30 | YANG Byanca | 100% | 88% | 53% | 18% | 2% | - | |
| 31 | SOUSA Lauren | 100% | 93% | 67% | 29% | 6% | - | - |
| 32 | KIM Chloe | 100% | 76% | 33% | 7% | 1% | - | |
| 33 | GOWDA Adisha | 100% | 97% | 79% | 43% | 12% | 1% | |
| 34 | HAYLETT Emily | 100% | 100% | 96% | 78% | 41% | 9% | |
| 35 | TANG Clementine | 100% | 85% | 43% | 12% | 2% | - | |
| 36 | FENG Sophia | 100% | 91% | 60% | 23% | 4% | - | - |
| 37 | STERNAD Pia | 100% | 99% | 91% | 65% | 29% | 6% | - |
| 38 | ALEKSANDROVA Miroslava | 100% | 100% | 97% | 83% | 48% | 11% | - |
| 39 | YU-TAN Claire | 100% | 97% | 72% | 32% | 7% | 1% | - |
| 40 | MCLANAHAN Jasmine | 100% | 99% | 87% | 56% | 21% | 3% | |
| 41 | DONG Nancy | 100% | 95% | 71% | 34% | 9% | 1% | - |
| 42 | LEE Clara | 100% | 63% | 22% | 4% | - | - | - |
| 43 | THERIOT Reagan | 100% | 93% | 66% | 30% | 7% | 1% | - |
| 44 | ZHANG Katie Qingyun | 100% | 99% | 93% | 71% | 35% | 8% | - |
| 45 | SHU Kayla | 100% | 100% | 90% | 59% | 22% | 3% | - |
| 46 | BASTUNAS Marissa | 100% | 96% | 77% | 42% | 12% | 1% | - |
| 47 | LEE Annalyn | 100% | 93% | 66% | 29% | 6% | - | - |
| 48 | GUO Jianing | 100% | 93% | 64% | 25% | 4% | - | |
| 49 | KIM Rylie | 100% | 94% | 68% | 31% | 7% | 1% | |
| 50 | LAI Olivia | 100% | 95% | 71% | 34% | 9% | 1% | - |
| 51 | VALOUEVA Katerina | 100% | 98% | 87% | 56% | 21% | 3% | - |
| 52 | KAIMAN Tabitha | 100% | 79% | 39% | 11% | 1% | - | - |
| 53 | FONG Isabel | 100% | 95% | 70% | 33% | 9% | 1% | - |
| 54 | ZHU Claire | 100% | 97% | 81% | 48% | 17% | 3% | - |
| 55 | CHEUNG Carabelle | 100% | 66% | 24% | 4% | - | - | |
| 56 | YANG Claire | 100% | 58% | 16% | 2% | - | - | |
| 57 | JUSON Julianne Lauren | 100% | 87% | 53% | 18% | 3% | - | - |
| 58 | LIU Madeleine | 100% | 76% | 35% | 10% | 1% | - | - |
| 59 | SCHOR Katherine | 100% | 64% | 22% | 4% | - | - | - |
| 59 | STOCK Nina | 100% | 26% | 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.