Meadowlands Expo Center - Secaucus, NJ, USA
Explore the pool victory probability density 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 | GONG Joy | - | - | - | - | 5% | 29% | 66% |
| 2 | YU Stella | - | - | - | 2% | 14% | 40% | 44% |
| 3 | CHOI Charlotte | - | - | - | 3% | 15% | 41% | 41% |
| 3 | OSMINKINA-JONES Kai | - | - | - | 5% | 26% | 54% | 15% |
| 5 | NEMORIN Rei | - | - | - | 1% | 11% | 41% | 46% |
| 6 | ZHU Avril | - | - | - | 1% | 11% | 41% | 46% |
| 7 | CHOWDHERY Myra | - | 2% | 13% | 33% | 37% | 15% | |
| 8 | ZHAO Selena | - | 4% | 19% | 36% | 30% | 9% | |
| 9 | HEATH Isabella | - | 1% | 7% | 26% | 43% | 24% | |
| 10 | WANG JiaQi | - | - | 1% | 6% | 23% | 42% | 28% |
| 11 | YU Skylar | - | 2% | 12% | 31% | 38% | 17% | |
| 12 | HU Alicia | - | - | 3% | 15% | 34% | 36% | 12% |
| 13 | MULLER Inara | - | - | 1% | 9% | 26% | 40% | 23% |
| 14 | KIM Grace | - | - | 1% | 9% | 31% | 42% | 16% |
| 15 | MAK Jayden | - | - | 1% | 9% | 30% | 44% | 16% |
| 16 | XU Elaine | - | - | - | 2% | 12% | 38% | 48% |
| 17 | ZHENG Winona | - | 1% | 7% | 21% | 34% | 28% | 9% |
| 18 | REN Katherine | - | - | - | 3% | 18% | 43% | 36% |
| 19 | WANG MONA | - | 4% | 18% | 35% | 30% | 11% | 1% |
| 20 | ZHANG Ashley | - | - | - | 1% | 9% | 39% | 51% |
| 21 | LI Tiffany | - | 2% | 10% | 26% | 35% | 23% | 5% |
| 22 | JOHN Sophia | - | - | 5% | 26% | 45% | 21% | 3% |
| 23 | ZHANG Nikki | - | 2% | 11% | 29% | 35% | 19% | 3% |
| 24 | WANG Emily | - | 4% | 15% | 29% | 31% | 17% | 4% |
| 25 | PATEL Maia | - | 2% | 11% | 29% | 36% | 19% | 3% |
| 26 | LI Tira | - | - | 1% | 8% | 29% | 45% | 17% |
| 27 | CANARAN Daphne M. | 2% | 18% | 35% | 30% | 13% | 2% | - |
| 28 | YOUNG Sienna | - | 3% | 17% | 38% | 31% | 10% | 1% |
| 29 | PEREIRA Izumi | 2% | 13% | 30% | 33% | 17% | 4% | - |
| 30 | MALUKI Nia | - | 2% | 13% | 31% | 35% | 16% | 2% |
| 31 | ZHANG Audrey | - | 3% | 15% | 33% | 32% | 14% | 2% |
| 32 | MCCARTHY Nora Louisa Abrous | - | 4% | 17% | 33% | 31% | 13% | 2% |
| 33 | WANG Chloe | 1% | 7% | 23% | 35% | 25% | 8% | 1% |
| 34 | YIN Xizi | 3% | 20% | 39% | 28% | 9% | 1% | - |
| 35 | YE Athena | 4% | 24% | 41% | 24% | 6% | 1% | - |
| 36 | YAP Anna | - | 4% | 18% | 38% | 31% | 9% | 1% |
| 37 | MOFFITT Charlotte | - | 4% | 19% | 37% | 30% | 9% | 1% |
| 38 | SARATH Sana | 3% | 18% | 35% | 30% | 12% | 2% | - |
| 39 | HU Sophia | 1% | 13% | 34% | 34% | 15% | 2% | - |
| 40 | KAVZAN Duru | 1% | 7% | 21% | 32% | 26% | 11% | 2% |
| 41 | SOUTHWELL Mia | 8% | 28% | 36% | 21% | 6% | 1% | - |
| 42 | MAJEWSKA Maria | - | 5% | 20% | 35% | 28% | 10% | 1% |
| 43 | LIU Stephanie | 1% | 5% | 18% | 31% | 29% | 14% | 3% |
| 44 | PETACCHI Lorena | 1% | 10% | 27% | 34% | 21% | 6% | 1% |
| 45 | ARORA Rhiya | - | 5% | 22% | 39% | 26% | 7% | 1% |
| 45 | AVATAPALLI Sri Aadya | 1% | 11% | 32% | 36% | 17% | 3% | - |
| 47 | LAU Angela | - | 5% | 21% | 37% | 28% | 8% | 1% |
| 48 | TSIPORUKHA Arie | 1% | 7% | 22% | 34% | 26% | 9% | 1% |
| 49 | TA-ZHOU Sophia | - | 2% | 11% | 29% | 36% | 19% | 3% |
| 50 | MAGITSKY Giadora | 1% | 10% | 29% | 35% | 20% | 5% | - |
| 51 | MULHERN Eleanor | - | - | 3% | 14% | 31% | 35% | 16% |
| 52 | VARAH Alaia | - | 5% | 20% | 34% | 28% | 11% | 2% |
| 53 | GARCIA RODRIGUEZ Victoria Maria | 5% | 24% | 39% | 24% | 7% | 1% | - |
| 54 | KABILING Anika Von Marie | - | 4% | 18% | 34% | 31% | 12% | 2% |
| 55 | WILLER Anna | - | 4% | 18% | 34% | 31% | 11% | 1% |
| 56 | CHEN Chloe | 1% | 11% | 31% | 36% | 18% | 3% | |
| 57 | LIAO Amber | 25% | 41% | 26% | 7% | 1% | - | |
| 58 | LEE Elise | 5% | 23% | 38% | 26% | 8% | 1% | |
| 59 | ALPEROVICH Madeline | 3% | 20% | 38% | 29% | 9% | 1% | |
| 60 | KIM Jodie | 8% | 30% | 36% | 20% | 5% | 1% | - |
| 61 | MENON Maya | - | 3% | 15% | 33% | 33% | 14% | 2% |
| 62 | DANIELS Jordanna | - | 5% | 20% | 35% | 28% | 10% | 1% |
| 63 | WANG Keira | - | 2% | 11% | 31% | 37% | 16% | 2% |
| 64 | TAN Angela | 24% | 40% | 26% | 8% | 1% | - | - |
| 65 | JOSEPH Azalée | 3% | 23% | 38% | 27% | 8% | 1% | |
| 66 | LIU Alyssa | 2% | 15% | 34% | 33% | 14% | 2% | |
| 67 | SMITH Genevieve | 4% | 24% | 40% | 25% | 6% | - | - |
| 68 | FREY Elise | 4% | 19% | 32% | 28% | 13% | 3% | - |
| 68 | GU Allison | 2% | 13% | 28% | 31% | 19% | 6% | 1% |
| 70 | MACHIRAJU Ishita | 1% | 11% | 29% | 35% | 19% | 4% | - |
| 71 | ZHANG Shihan | - | 3% | 14% | 31% | 34% | 16% | 2% |
| 72 | YI Victoria | 1% | 7% | 24% | 36% | 25% | 7% | - |
| 73 | GUERVILLE Angelique | 6% | 24% | 35% | 25% | 9% | 1% | - |
| 74 | KARAVAS Lucy | 3% | 18% | 34% | 30% | 13% | 2% | - |
| 75 | KETT alexis | 7% | 29% | 37% | 21% | 6% | 1% | - |
| 75 | KONDE Anika | 7% | 27% | 36% | 22% | 7% | 1% | - |
| 75 | PURITZ Morgan | 13% | 36% | 35% | 14% | 2% | - | - |
| 78 | SAXENA Devina Shyamli | 36% | 42% | 18% | 4% | - | - | - |
| 78 | LIAO Audrey | 2% | 14% | 32% | 32% | 16% | 4% | - |
| 80 | FENG chloe | 49% | 38% | 12% | 2% | - | - | - |
| 81 | CHAN Clara Minna | 10% | 34% | 36% | 16% | 3% | - | - |
| 82 | BAO Amelia | 7% | 27% | 37% | 22% | 6% | 1% | - |
| 82 | RADELL Zoe | 13% | 37% | 35% | 13% | 2% | - | - |
| 84 | RIFKIN Talia | 3% | 22% | 38% | 28% | 8% | 1% | - |
| 85 | CAO Alisa | 42% | 41% | 14% | 2% | - | - | - |
| 86 | PARAISO Isabella | 17% | 40% | 31% | 10% | 1% | - | - |
| 87 | HUANG Annie | 51% | 37% | 11% | 1% | - | - | |
| 88 | WU Jing | 19% | 38% | 29% | 11% | 2% | - | - |
| 89 | SCHNEIDER Ashley | 1% | 14% | 37% | 35% | 12% | 1% | |
| 90 | HAN Abigail | 60% | 33% | 7% | 1% | - | - | - |
| 91 | RAZIANO Collins | 39% | 42% | 16% | 3% | - | - | - |
| 92 | CHANG Grace | 24% | 41% | 26% | 8% | 1% | - | - |
| 92 | TOM Danielle | 11% | 30% | 33% | 19% | 6% | 1% | - |
| 92 | HU Emily | < 1% | 3% | 16% | 35% | 34% | 11% | - |
| 95 | DIGIACOMO Elizabeth | 60% | 33% | 7% | 1% | - | - | - |
| 95 | GROSSMAN Ann | 31% | 42% | 21% | 5% | 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.