Raleigh Convention Center - Raleigh, NC, 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 | LEE REGINA | - | - | - | 5% | 23% | 43% | 28% |
| 2 | WU Amelia | - | - | - | 2% | 15% | 42% | 40% |
| 3 | WITTER Catherine A. | - | - | 3% | 16% | 37% | 34% | 11% |
| 3 | RAKHOVSKI Alexandra | - | - | 2% | 14% | 35% | 37% | 12% |
| 5 | DOROSHKEVICH Victoriia | - | - | - | 2% | 17% | 47% | 34% |
| 6 | HONG Elaine | - | 1% | 10% | 31% | 41% | 18% | |
| 7 | BECKMAN Ana | - | 3% | 14% | 34% | 35% | 13% | |
| 8 | LEE Natasha | - | - | 4% | 20% | 47% | 30% | |
| 9 | CAPELLUA Mariasole | - | - | - | 2% | 15% | 42% | 41% |
| 10 | WADE-CURRIE Ava S. | - | - | - | 1% | 10% | 39% | 50% |
| 11 | CHISHOLM Phoebe C. | - | 1% | 8% | 26% | 39% | 22% | 4% |
| 12 | YOU Emily | - | - | 3% | 18% | 40% | 31% | 7% |
| 13 | LEE Scarlett | - | 2% | 13% | 32% | 37% | 16% | |
| 14 | DEPOMMIER Isabelle | - | 2% | 11% | 30% | 37% | 19% | 2% |
| 15 | CHENG Ava | - | - | 3% | 14% | 36% | 36% | 11% |
| 16 | KUMAR Eva | - | 3% | 15% | 36% | 34% | 11% | 1% |
| 17 | CHEN Lefu | - | - | - | - | 3% | 23% | 74% |
| 18 | SMOTRITSKY Mia | - | - | - | 2% | 14% | 40% | 43% |
| 19 | MILEWSKI Nicole | - | - | 2% | 12% | 33% | 38% | 15% |
| 20 | AI Amy | - | - | 4% | 21% | 42% | 27% | 5% |
| 21 | HAFEEZ Hania | - | - | - | 3% | 20% | 47% | 29% |
| 22 | CAMPBELL Eva | 5% | 23% | 36% | 26% | 9% | 1% | - |
| 23 | SONG Angela | - | 2% | 13% | 32% | 37% | 16% | |
| 24 | YU Nicole J. | - | - | 2% | 11% | 32% | 39% | 16% |
| 25 | YANG Alisa | - | - | 2% | 16% | 45% | 37% | |
| 26 | LI Fei | - | 2% | 12% | 31% | 38% | 16% | |
| 27 | DESAI Meera P. | - | - | 4% | 20% | 46% | 30% | |
| 28 | PROFIS Liora | 3% | 16% | 34% | 32% | 14% | 2% | |
| 29 | BEAVER Ava | 2% | 12% | 30% | 35% | 18% | 4% | |
| 30 | BALAKRISHNAN Trisha | 1% | 11% | 30% | 36% | 18% | 3% | |
| 31 | CARRIER Meredith | - | 1% | 15% | 44% | 33% | 7% | |
| 32 | NIX Reagan | 1% | 11% | 33% | 37% | 16% | 2% | |
| 33 | LIANG Jingjing | - | 5% | 20% | 36% | 29% | 9% | 1% |
| 34 | LIN Elaine | - | - | 5% | 28% | 47% | 21% | |
| 35 | ZHU Serene M. | - | 2% | 14% | 34% | 36% | 14% | |
| 36 | PATIL Amulya | - | 3% | 15% | 32% | 33% | 14% | 2% |
| 37 | GUJJA Misha | - | - | 2% | 15% | 38% | 35% | 9% |
| 38 | CHERNIS Zoe C. | - | 1% | 9% | 30% | 38% | 19% | 3% |
| 39 | EDWARDS Auprell | - | - | 2% | 12% | 37% | 39% | 10% |
| 40 | LIU Nicole | - | 2% | 10% | 30% | 40% | 19% | |
| 41 | CALDERA Lexi I. | - | 1% | 6% | 25% | 44% | 25% | |
| 42 | PLAZA-GASALLA Gloria | 18% | 39% | 30% | 11% | 2% | - | |
| 43 | FAN Elizabeth | 2% | 16% | 35% | 32% | 13% | 2% | |
| 44 | LU Samantha R. | - | 4% | 17% | 36% | 32% | 11% | |
| 44 | MONOVA Lilyana | 1% | 16% | 49% | 28% | 5% | - | |
| 46 | DONGES Anna | 7% | 28% | 36% | 22% | 6% | 1% | |
| 47 | UNGURIANU Nika | 4% | 21% | 37% | 28% | 9% | 1% | |
| 48 | NEELAM Navya | 1% | 9% | 27% | 36% | 22% | 5% | - |
| 49 | PINNAMANENI Drithi | - | 2% | 11% | 29% | 35% | 19% | 3% |
| 50 | SEREGIN Katya | 19% | 40% | 30% | 10% | 1% | - | - |
| 51 | NGUYEN Jolie T. | - | 7% | 29% | 40% | 19% | 3% | - |
| 52 | ZANGA Kaitlyn | 1% | 9% | 30% | 38% | 19% | 3% | |
| 53 | BASRALIAN Azniv | 4% | 21% | 37% | 28% | 9% | 1% | |
| 54 | WANG Ziqiao (Claire) | 27% | 45% | 23% | 5% | - | - | |
| 55 | YOU Joyce | 21% | 41% | 29% | 8% | 1% | - | |
| 56 | ZHENG Linden | - | 5% | 23% | 40% | 25% | 6% | - |
| 57 | HAFEEZ Hiba | - | 1% | 8% | 28% | 39% | 21% | 4% |
| 58 | GAUR Ishi | 4% | 27% | 41% | 22% | 5% | 1% | - |
| 59 | WALLER DEL VALLE Alexandra | 4% | 22% | 39% | 27% | 7% | 1% | - |
| 60 | HESS Heidi J. | - | 3% | 17% | 37% | 33% | 10% | |
| 61 | SHU Youshan | 1% | 6% | 22% | 37% | 28% | 8% | |
| 62 | CHANG Chloe | 2% | 19% | 42% | 29% | 7% | 1% | - |
| 63 | PULLEN Ayah | 1% | 7% | 26% | 39% | 22% | 5% | - |
| 64 | YAO KATHARINE | 1% | 8% | 26% | 37% | 22% | 5% | - |
| 65 | WANG Zoe | 5% | 24% | 39% | 26% | 6% | - | |
| 66 | NOVOJILOV Anastasia | 11% | 35% | 36% | 15% | 2% | - | |
| 67 | OLORVIDA Isabella | 17% | 41% | 31% | 10% | 1% | - | |
| 68 | BARCLAY Khyri | 6% | 28% | 42% | 20% | 4% | - | - |
| 69 | MURPHY Katherine | 19% | 42% | 30% | 9% | 1% | - | - |
| 70 | COLELLA Lauren | 8% | 30% | 37% | 20% | 5% | - | |
| 71 | PARSONS Mischa | 14% | 36% | 33% | 14% | 3% | - | |
| 72 | LEE yat ching | - | 4% | 17% | 35% | 33% | 11% | |
| 73 | SMOTRITSKY Liat | 13% | 37% | 34% | 13% | 2% | - | - |
| 74 | HSIU Elizabeth | - | 5% | 18% | 33% | 30% | 12% | 1% |
| 75 | WALLER DEL VALLE Andrea | 1% | 9% | 28% | 36% | 21% | 5% | - |
| 76 | NIEMAN Aubrey | 5% | 35% | 41% | 16% | 2% | - | - |
| 77 | NOH Rachel | 19% | 42% | 30% | 8% | 1% | - | - |
| 78 | SAZONOVA Alexandra | 58% | 34% | 7% | 1% | - | - | - |
| 79 | WALLER DEL VALLE Alanis | 6% | 25% | 39% | 24% | 5% | - | |
| 80 | PAN Angela | 26% | 45% | 23% | 5% | - | - | |
| 81 | ZHANG Helen | 58% | 36% | 5% | - | - | - | |
| 82 | RHEINECKER Claire | 30% | 43% | 22% | 5% | - | - | |
| 83 | ELTERMAN Kate | 21% | 56% | 20% | 2% | - | - | |
| 84 | MIHILL Margaret | 27% | 42% | 24% | 6% | 1% | - | |
| 85 | NELSON Grace E. | 4% | 24% | 37% | 25% | 8% | 1% | - |
| 86 | WONG HIN SANG Annabelle | 31% | 45% | 21% | 4% | - | - | - |
| 87 | NIEMAN Anjolie | 25% | 43% | 25% | 6% | 1% | - | - |
| 87 | LOZIER Grace | 22% | 43% | 28% | 7% | 1% | - | - |
| 87 | XU Celina | 9% | 30% | 36% | 20% | 5% | 1% | - |
| 90 | CHUANG Ramona | 9% | 33% | 39% | 16% | 3% | - | - |
| 91 | DONG Ava | 5% | 31% | 41% | 19% | 4% | - | - |
| 92 | LI Alisha | - | 4% | 19% | 38% | 29% | 10% | 1% |
| 92 | WONG Caitlin | 9% | 31% | 37% | 19% | 4% | - | - |
| 94 | MACEDON Gianna | 26% | 41% | 25% | 7% | 1% | - | |
| 95 | BARDIN Kira | 21% | 45% | 27% | 6% | 1% | - | - |
| 96 | ZOU You yang (Yoyo) | 20% | 39% | 29% | 10% | 2% | - | - |
| 97 | KRISHNA Rithika | 73% | 24% | 3% | - | - | - | - |
| 98 | RHEINECKER Eleanora Grace | 49% | 38% | 11% | 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.