Gaylord National Resort and Convention Center - National Harbor, MD, 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 | FERNANDEZ Martina | - | - | - | 4% | 19% | 43% | 34% |
| 2 | GUGALA Hanna | - | - | - | 4% | 19% | 42% | 34% |
| 3 | MALEK Zolie | - | - | 6% | 25% | 44% | 25% | |
| 3 | GALYEMSKA Viktoriya | - | - | 4% | 16% | 33% | 33% | 13% |
| 5 | LUKER Sophia | - | - | - | 1% | 7% | 33% | 60% |
| 6 | LEE Alyson | - | 13% | 35% | 35% | 15% | 2% | |
| 7 | HAMMERSTROM Aria | - | - | 4% | 17% | 35% | 33% | 11% |
| 8 | ZHENG Valentina | - | - | 2% | 13% | 33% | 37% | 14% |
| 9 | ZENG Sarah | - | - | - | 4% | 20% | 42% | 33% |
| 10 | LI Sonia | - | 6% | 23% | 37% | 26% | 7% | 1% |
| 11 | XU Emily T. | - | 1% | 4% | 18% | 35% | 32% | 10% |
| 12 | HU Anna | - | - | 3% | 14% | 34% | 36% | 12% |
| 13 | FLATT Sophia | 1% | 14% | 35% | 34% | 14% | 2% | |
| 14 | CARTER Keely | - | 12% | 38% | 38% | 11% | ||
| 15 | FAN Alexandria | 2% | 29% | 43% | 22% | 4% | ||
| 16 | LIU Hannah | - | 1% | 9% | 26% | 36% | 22% | 4% |
| 17 | BERMAN greta | - | - | 1% | 8% | 26% | 41% | 23% |
| 18 | MYAT Chloe | - | 2% | 10% | 28% | 36% | 20% | 4% |
| 19 | PRESANTH Nandana | - | 2% | 13% | 33% | 34% | 15% | 2% |
| 20 | MANKOVA Varvara | - | - | 1% | 5% | 22% | 43% | 30% |
| 21 | CHIANG Melissa | - | 2% | 11% | 30% | 38% | 18% | |
| 22 | DAMBAL Sasha | - | 4% | 20% | 38% | 30% | 8% | |
| 23 | CHAVAN Arya | - | - | 1% | 9% | 28% | 41% | 21% |
| 24 | MERCHANT Aishwarya | - | - | 2% | 12% | 32% | 37% | 16% |
| 25 | MCGRAW Sadie | 1% | 6% | 21% | 33% | 27% | 10% | 1% |
| 26 | TA-ZHOU Emma | - | 1% | 7% | 25% | 38% | 23% | 5% |
| 27 | NIU Jessica | - | 5% | 22% | 37% | 26% | 8% | 1% |
| 28 | DANTULURI Shalini | - | - | 4% | 16% | 34% | 33% | 12% |
| 29 | LOO Kaitlyn | - | - | 3% | 15% | 36% | 35% | 11% |
| 30 | VINOKUR Anita | - | 2% | 9% | 25% | 35% | 23% | 5% |
| 31 | HU Michelle | - | 1% | 6% | 24% | 42% | 27% | |
| 32 | RANDALL-COLLINS Shea M. | 2% | 12% | 28% | 33% | 19% | 5% | - |
| 33 | FAVO Isabella | - | - | - | 4% | 18% | 42% | 35% |
| 34 | WANG yining | - | - | - | 4% | 20% | 42% | 33% |
| 35 | KRASOWITZ Lucy | 1% | 12% | 32% | 34% | 17% | 4% | - |
| 36 | YUEN Nicole | 2% | 12% | 29% | 33% | 19% | 5% | - |
| 37 | WANG JiaQi | - | 1% | 8% | 25% | 37% | 23% | 5% |
| 38 | KURAEVA Vasilisa | - | 1% | 6% | 25% | 44% | 24% | |
| 39 | CHI Claire | - | 1% | 6% | 23% | 38% | 27% | 6% |
| 40 | CROOKS Riley | - | 3% | 15% | 33% | 34% | 14% | 1% |
| 41 | WUNNAVA Ellora | 4% | 22% | 36% | 27% | 9% | 1% | - |
| 42 | PANTALEON-MAZOLA Amari | - | 1% | 5% | 18% | 36% | 31% | 9% |
| 43 | BLAKE Anna | 3% | 16% | 34% | 32% | 14% | 2% | |
| 44 | HUANG Neila | 3% | 23% | 41% | 26% | 7% | 1% | |
| 45 | HSU Leah | - | 4% | 17% | 35% | 33% | 11% | |
| 46 | KIM Audrey | 22% | 40% | 27% | 9% | 1% | - | |
| 47 | MCAFEE Jada | - | 1% | 9% | 28% | 37% | 21% | 4% |
| 48 | CONG Anne | - | 1% | 7% | 23% | 38% | 26% | 4% |
| 49 | BOYNTON Ainsley | - | - | 1% | 6% | 23% | 41% | 29% |
| 50 | LEOU Korina | - | 4% | 23% | 44% | 29% | ||
| 51 | MONTORIO Lily M. | 1% | 14% | 39% | 36% | 10% | ||
| 52 | PROBASCO Leila | 1% | 6% | 20% | 34% | 28% | 10% | 1% |
| 53 | GENTILE Vittoria | 5% | 20% | 34% | 28% | 12% | 2% | - |
| 54 | KWON Ava | - | 4% | 19% | 35% | 30% | 11% | 1% |
| 55 | HENRY Soraya S. | - | - | 3% | 15% | 35% | 36% | 11% |
| 56 | BORGUETA Madison | 1% | 12% | 32% | 34% | 17% | 4% | - |
| 57 | MERMEGAS Olivia | 2% | 13% | 29% | 32% | 19% | 5% | - |
| 58 | ZHANG Ashley | 2% | 14% | 32% | 33% | 15% | 3% | - |
| 59 | IANNUZZI Lucy | 3% | 16% | 33% | 31% | 14% | 3% | - |
| 60 | AWAD Royce | 2% | 15% | 33% | 33% | 15% | 2% | |
| 61 | KANDADAI Lara | 1% | 8% | 30% | 40% | 19% | 3% | |
| 62 | LONG Jessie | 3% | 16% | 33% | 31% | 14% | 3% | - |
| 63 | VISWANATHAN Nishka | 19% | 38% | 29% | 11% | 2% | - | - |
| 64 | JIANG Evelyn | < 1% | 3% | 14% | 32% | 34% | 15% | 2% |
| 65 | WANG Callie | - | - | 3% | 13% | 32% | 37% | 15% |
| 66 | MAO anna | 10% | 31% | 35% | 19% | 5% | 1% | - |
| 67 | HO Sophia | 8% | 35% | 37% | 16% | 3% | - | - |
| 68 | ZHANG Jiaqing | 3% | 17% | 35% | 31% | 12% | 2% | - |
| 69 | YU Stella | 7% | 26% | 36% | 23% | 7% | 1% | - |
| 70 | ONG Lauren | - | 8% | 27% | 37% | 22% | 6% | 1% |
| 71 | SEBASTIAN Ava | 13% | 35% | 34% | 15% | 3% | - | - |
| 71 | STADNIK Emilia | 2% | 13% | 31% | 34% | 17% | 4% | - |
| 73 | BUSH Bethany | - | 2% | 13% | 30% | 34% | 18% | 3% |
| 74 | BARROSO Isabela | 1% | 9% | 27% | 35% | 21% | 6% | 1% |
| 75 | NAYAK Esha | - | 1% | 8% | 25% | 37% | 24% | 5% |
| 76 | SHMULER Fiona | 6% | 31% | 40% | 19% | 4% | - | |
| 77 | YU Skylar | 5% | 26% | 38% | 23% | 7% | 1% | - |
| 78 | BAINS Nandini | 1% | 10% | 27% | 35% | 21% | 5% | - |
| 79 | DANTULURI Shivani | 7% | 31% | 39% | 19% | 4% | - | - |
| 80 | PALMIERI Giuliana M. | 5% | 22% | 36% | 26% | 9% | 1% | - |
| 81 | CHANG Norah | 6% | 26% | 37% | 23% | 7% | 1% | - |
| 82 | FREEMAN Armine | 1% | 12% | 29% | 33% | 19% | 5% | 1% |
| 83 | PASUPULETI Laya | 33% | 42% | 20% | 5% | 1% | - | - |
| 84 | MAO Elsa | 23% | 41% | 26% | 8% | 1% | - | - |
| 85 | KWON Ava | 19% | 41% | 29% | 9% | 1% | - | - |
| 86 | WILFRET Katerina | 46% | 40% | 13% | 2% | - | - | - |
| 87 | FLEEGER Sophia | 23% | 40% | 27% | 8% | 1% | - | - |
| 88 | KITSON Sasha | 1% | 17% | 37% | 31% | 12% | 2% | - |
| 89 | MANSPERGER Gia | 1% | 15% | 36% | 32% | 13% | 2% | - |
| 90 | LEE Kaitlin | 15% | 36% | 32% | 14% | 3% | - | - |
| 91 | YE Madeleine | 19% | 39% | 29% | 10% | 2% | - | - |
| 92 | KIM Grace | 83% | 16% | 1% | - | - | ||
| 93 | MANI Francesca B. | - | 11% | 32% | 36% | 17% | 3% | |
| 94 | KU Alathea-Joy | 8% | 28% | 36% | 22% | 6% | 1% | |
| 95 | WONG Charlene | 9% | 30% | 36% | 20% | 5% | 1% | - |
| 96 | SHEN Emily | 4% | 21% | 36% | 28% | 10% | 2% | - |
| 97 | BIBLER Anna | 8% | 28% | 36% | 21% | 6% | 1% | - |
| 98 | KHOST Maeve | 2% | 14% | 32% | 33% | 16% | 3% | - |
| 99 | SEVASTOPULO Sahra | 3% | 22% | 40% | 26% | 7% | 1% | - |
| 100 | GUHA Surabhi | 4% | 24% | 39% | 25% | 7% | 1% | - |
| 101 | BRUNGARDT Gabriela | 56% | 35% | 8% | 1% | - | - | - |
| 102 | ROBERTSON Szilvia | 86% | 13% | 1% | - | - | - | |
| 103 | HAN Hannah Y. | 6% | 27% | 37% | 23% | 7% | 1% | - |
| 103 | BARNES Sarah | 21% | 40% | 28% | 9% | 1% | - | - |
| 103 | MANGAT Alexis | 82% | 16% | 1% | - | - | - | - |
| 106 | FORD Anna | 56% | 36% | 8% | 1% | - | - | |
| 107 | SUH Gah Ohn Anna | 51% | 38% | 10% | 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.