Gaylord National Resort and Convention Center - National Harbor, MD, 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 | NIX Reagan | 100% | 100% | 100% | 100% | 98% | 87% | 49% |
| 2 | DEPOMMIER Isabelle | 100% | 100% | 100% | 99% | 92% | 66% | 22% |
| 3 | MONOVA Lilyana | 100% | 100% | 100% | 99% | 91% | 63% | 22% |
| 3 | LEE Gloria Y. | 100% | 100% | 100% | 98% | 87% | 57% | 18% |
| 5 | ZHU Serene M. | 100% | 100% | 100% | 100% | 99% | 90% | 55% |
| 6 | SEREGIN Katya | 100% | 100% | 100% | 99% | 95% | 73% | 31% |
| 7 | CHI Chelsea | 100% | 100% | 100% | 100% | 99% | 94% | 63% |
| 8 | WANG Sophie Y. | 100% | 100% | 99% | 93% | 70% | 32% | 6% |
| 9 | GANSER Nicole | 100% | 100% | 99% | 93% | 71% | 36% | 8% |
| 10 | STERN Savannah | 100% | 100% | 100% | 96% | 77% | 41% | 9% |
| 11 | SHEFFIELD Skye | 100% | 100% | 99% | 94% | 75% | 38% | 8% |
| 12 | BARDIN Kira | 100% | 100% | 96% | 75% | 39% | 10% | 1% |
| 13 | NOH Rachel | 100% | 100% | 98% | 86% | 55% | 20% | 3% |
| 14 | SUICO Kyubi Emmanuelle | 100% | 100% | 99% | 94% | 73% | 35% | 6% |
| 15 | XU Sunia (Tai Yang) | 100% | 100% | 98% | 89% | 62% | 26% | 3% |
| 16 | LIN Laura | 100% | 99% | 95% | 77% | 45% | 15% | 2% |
| 17 | SMOTRITSKY Liat | 100% | 100% | 100% | 99% | 89% | 59% | 19% |
| 17 | ELTERMAN Kate | 100% | 100% | 93% | 69% | 33% | 9% | 1% |
| 19 | WONG Caitlin | 100% | 100% | 100% | 97% | 83% | 50% | 14% |
| 19 | JIANG Serena | 100% | 100% | 100% | 99% | 95% | 73% | 30% |
| 21 | BI Michelle | 100% | 100% | 94% | 74% | 40% | 12% | 1% |
| 22 | NOVOJILOV Anastasia | 100% | 100% | 100% | 99% | 91% | 64% | 22% |
| 23 | XU Jessica | 100% | 98% | 85% | 53% | 19% | 3% | - |
| 24 | ILYAS Ayah | 100% | 100% | 100% | 94% | 72% | 34% | 7% |
| 25 | CHEN Alicia | 100% | 100% | 99% | 91% | 66% | 29% | 5% |
| 26 | LI Azalea | 100% | 100% | 99% | 93% | 72% | 38% | 9% |
| 27 | PINNAMANENI Drithi | 100% | 100% | 100% | 100% | 97% | 80% | 38% |
| 28 | HALL Isabelle | 100% | 87% | 54% | 21% | 4% | - | - |
| 29 | PETROFF Eva | 100% | 99% | 93% | 69% | 33% | 8% | 1% |
| 30 | WRIGHT Madison | 100% | 99% | 93% | 70% | 34% | 8% | 1% |
| 31 | DESANTIS-IBANEZ Elena | 100% | 99% | 94% | 73% | 39% | 12% | 1% |
| 32 | WANG Cecilia | 100% | 93% | 67% | 33% | 10% | 1% | - |
| 33 | QI Julieanne | 100% | 100% | 100% | 97% | 83% | 52% | 16% |
| 34 | MA Sophie | 100% | 100% | 100% | 96% | 80% | 46% | 12% |
| 35 | DHAIYA Tanya | 100% | 94% | 71% | 36% | 11% | 2% | - |
| 36 | WANG Ziqiao (Claire) | 100% | 100% | 100% | 96% | 79% | 44% | 10% |
| 37 | NGUYEN Ella | 100% | 100% | 98% | 87% | 53% | 15% | |
| 38 | QIU Emily | 100% | 100% | 100% | 97% | 86% | 56% | 19% |
| 39 | WOOLF Fredrika | 100% | 99% | 80% | 39% | 10% | 1% | - |
| 39 | HALE Avery | 100% | 100% | 98% | 86% | 58% | 23% | 4% |
| 41 | TAM Connie | 100% | 99% | 93% | 67% | 30% | 7% | 1% |
| 42 | CHEN Alina | 100% | 99% | 93% | 71% | 36% | 9% | 1% |
| 43 | DASILVA Mia | 100% | 97% | 82% | 51% | 20% | 4% | - |
| 44 | WANG Chloe | 100% | 94% | 59% | 20% | 3% | - | |
| 45 | NGUYEN Ashley L. | 100% | 100% | 99% | 92% | 65% | 23% | |
| 46 | GOH Cayla | 100% | 99% | 90% | 60% | 22% | 3% | |
| 47 | KOVALCHUK Erika S. | 100% | 100% | 100% | 97% | 82% | 49% | 14% |
| 48 | HOM Justina | 100% | 99% | 92% | 69% | 34% | 9% | 1% |
| 49 | LI Alice | 100% | 100% | 98% | 87% | 56% | 21% | 3% |
| 50 | WANG Selina | 100% | 93% | 69% | 35% | 11% | 2% | - |
| 51 | WEI Sherry | 100% | 99% | 89% | 63% | 30% | 8% | 1% |
| 52 | DESAI Ela | 100% | 95% | 73% | 36% | 9% | 1% | - |
| 53 | ZHANG Jane | 100% | 99% | 92% | 67% | 31% | 8% | 1% |
| 54 | BAWA Jenya | 100% | 100% | 99% | 90% | 61% | 24% | 4% |
| 55 | RAFFERTY Catherine | 100% | 95% | 74% | 40% | 12% | 2% | - |
| 56 | LI Caroline | 100% | 98% | 84% | 53% | 21% | 4% | - |
| 56 | LOBANOVA Varvara | 100% | 98% | 84% | 55% | 22% | 4% | - |
| 58 | SHAYAKHMETOVA Suzanna | 100% | 100% | 95% | 76% | 41% | 12% | 1% |
| 58 | GAN Shelby | 100% | 94% | 71% | 35% | 10% | 1% | - |
| 60 | LEVKOV Maita | 100% | 59% | 18% | 3% | - | - | - |
| 61 | KANG Yenna | 100% | 99% | 91% | 60% | 22% | 3% | |
| 62 | SONG Charlotte | 100% | 92% | 52% | 15% | 2% | - | - |
| 63 | LIN Cynthia | 100% | 90% | 55% | 19% | 3% | - | - |
| 64 | RICHARDS Axelle | 100% | 94% | 70% | 35% | 10% | 1% | - |
| 65 | ANEZIOKORO Zahra | 100% | 95% | 74% | 39% | 11% | 1% | - |
| 66 | SHETH Anayaà | 100% | 98% | 84% | 50% | 17% | 3% | - |
| 67 | HE Lizbeth | 100% | 99% | 86% | 55% | 22% | 5% | - |
| 68 | JEYOON Lauren | 100% | 92% | 65% | 30% | 8% | 1% | - |
| 69 | AVALOS Sofia | 100% | 98% | 86% | 57% | 24% | 6% | 1% |
| 70 | BO GENESIS | 100% | 100% | 95% | 77% | 43% | 13% | 1% |
| 71 | KRISHNA Rithika | 100% | 87% | 52% | 18% | 3% | - | - |
| 72 | LY Hannah | 100% | 95% | 75% | 41% | 13% | 2% | - |
| 73 | BARNETT-PAO Nora | 100% | 82% | 43% | 13% | 2% | - | - |
| 74 | GAVASHELI Margarita | 100% | 98% | 85% | 54% | 21% | 4% | - |
| 75 | ZHAN Clare | 100% | 85% | 50% | 18% | 3% | - | - |
| 76 | KELLEY Elise | 100% | 95% | 73% | 37% | 11% | 1% | - |
| 77 | COMBS Hannah | 100% | 34% | 5% | - | - | - | |
| 78 | REISNER Gabriella | 100% | 93% | 66% | 30% | 7% | 1% | - |
| 79 | PRAVEEN Nehara | 100% | 54% | 13% | 1% | - | - | - |
| 80 | CAO Carolyn | 100% | 95% | 69% | 32% | 9% | 1% | - |
| 81 | D'ANGELO Olivia | 100% | 91% | 61% | 25% | 5% | 1% | - |
| 82 | XU Hua | 100% | 68% | 26% | 6% | 1% | - | - |
| 83 | GALINSKY Lana | 100% | 57% | 15% | 2% | - | - | - |
| 84 | THIBAULT Azzy | 100% | 98% | 85% | 54% | 20% | 4% | - |
| 85 | PERKINS Zoe | 100% | 97% | 75% | 33% | 7% | 1% | - |
| 86 | GOCHBERG Madeline | 100% | 62% | 21% | 4% | - | - | - |
| 87 | SANTORO Chloe | 100% | 82% | 34% | 7% | 1% | - | - |
| 88 | MATHEW Noe | 100% | 85% | 48% | 15% | 3% | - | - |
| 89 | TOSH Audrey | 100% | 92% | 62% | 25% | 6% | 1% | - |
| 90 | EL BADAOUI Salma | 100% | 33% | 4% | - | - | - | - |
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.