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 | REN Katherine | - | - | - | 4% | 17% | 40% | 39% |
| 2 | CHOI Charlotte | - | - | - | 1% | 10% | 37% | 52% |
| 3 | ZHANG Ashley | - | - | - | 1% | 9% | 36% | 55% |
| 3 | OSMINKINA-JONES Kai | - | - | - | - | 5% | 31% | 63% |
| 5 | HEATH Isabella | - | - | 1% | 8% | 28% | 43% | 20% |
| 6 | YANG Felicia | - | 2% | 10% | 26% | 35% | 22% | 5% |
| 7 | GONG Joy | - | - | - | 1% | 10% | 36% | 53% |
| 8 | XU Elaine | - | - | - | 3% | 16% | 41% | 40% |
| 9 | KAVZAN Duru | - | 3% | 14% | 29% | 32% | 18% | 4% |
| 10 | NEMORIN Rei | - | - | - | 4% | 22% | 46% | 28% |
| 11 | VUDTHITHAMRONG Vivienne | 1% | 5% | 19% | 33% | 30% | 12% | 1% |
| 12 | KATZ Emma | - | - | 1% | 8% | 25% | 40% | 25% |
| 13 | CONVERSO-PARSONS Maia | 3% | 17% | 34% | 30% | 13% | 2% | - |
| 14 | KO Ariel | - | 4% | 18% | 33% | 31% | 12% | 1% |
| 15 | LAI Karen | - | 2% | 10% | 25% | 35% | 23% | 6% |
| 16 | OEI Allyson | - | 3% | 15% | 30% | 32% | 16% | 3% |
| 17 | JOHN Sophia | - | - | 4% | 15% | 33% | 34% | 14% |
| 18 | WANG Chloe | 1% | 6% | 21% | 35% | 28% | 10% | 1% |
| 19 | PEREIRA Izumi | - | 2% | 11% | 30% | 37% | 18% | 2% |
| 20 | MENON Maya | - | 1% | 8% | 24% | 35% | 25% | 7% |
| 21 | CHAU Zoey | - | 2% | 9% | 25% | 35% | 23% | 6% |
| 22 | SARATH Sana | 1% | 8% | 23% | 33% | 25% | 9% | 1% |
| 23 | POWERS Waverly | 3% | 19% | 37% | 30% | 10% | 1% | |
| 24 | MALUKI Nia | - | 1% | 7% | 23% | 37% | 26% | 6% |
| 25 | CANARAN Daphne M. | 1% | 6% | 23% | 37% | 25% | 7% | - |
| 26 | YE Isabella | - | - | 1% | 5% | 21% | 44% | 30% |
| 27 | IORDANOVA Vela | 8% | 27% | 35% | 22% | 7% | 1% | - |
| 28 | ROSTHOLDER Hannah | 1% | 6% | 21% | 36% | 28% | 8% | |
| 29 | TA-ZHOU Sophia | - | 1% | 5% | 18% | 34% | 31% | 11% |
| 30 | DANIELS Jordanna | - | 1% | 9% | 27% | 38% | 22% | 3% |
| 31 | YI Victoria | 2% | 13% | 30% | 33% | 18% | 4% | - |
| 32 | KABILING Anika Von Marie | 3% | 14% | 29% | 31% | 18% | 5% | 1% |
| 33 | HU Heidi | - | - | 1% | 9% | 29% | 41% | 20% |
| 34 | ZHAO Selena | - | - | 3% | 14% | 30% | 35% | 17% |
| 35 | WANG Emily | 1% | 6% | 19% | 31% | 28% | 13% | 2% |
| 36 | OLSON Olivia | - | - | 4% | 16% | 34% | 33% | 12% |
| 37 | VARAH Alaia | 1% | 10% | 28% | 35% | 20% | 4% | |
| 38 | KIM Grace | - | - | 3% | 15% | 36% | 35% | 12% |
| 39 | LI Tiffany | - | 1% | 8% | 25% | 38% | 23% | 4% |
| 40 | CHEN Chloe | - | 1% | 6% | 23% | 38% | 27% | 7% |
| 41 | TSIPORUKHA Arie | - | 4% | 16% | 31% | 31% | 15% | 3% |
| 42 | YOUNG Sienna | - | 1% | 7% | 23% | 38% | 26% | 5% |
| 43 | YIN Xizi | 1% | 11% | 31% | 35% | 18% | 4% | - |
| 44 | QIU Abigail | 3% | 14% | 29% | 31% | 18% | 5% | 1% |
| 45 | LAU Angela | 2% | 11% | 28% | 35% | 20% | 5% | - |
| 46 | LIU Stephanie | 1% | 8% | 24% | 33% | 24% | 8% | 1% |
| 47 | MOFFITT Charlotte | 1% | 8% | 25% | 35% | 23% | 7% | 1% |
| 48 | NARRELL Olive | 13% | 32% | 33% | 17% | 5% | 1% | - |
| 49 | MCCARTHY Nora Louisa Abrous | 2% | 13% | 32% | 34% | 15% | 3% | - |
| 50 | MULHERN Eleanor | - | 3% | 14% | 31% | 34% | 16% | 2% |
| 51 | PIÑOL Annika | 4% | 19% | 33% | 28% | 12% | 2% | - |
| 52 | MAJEWSKA Maria | 1% | 9% | 25% | 33% | 23% | 8% | 1% |
| 53 | PATEL Maia | - | 3% | 13% | 30% | 34% | 17% | 2% |
| 54 | WEI Levana | - | 3% | 13% | 32% | 35% | 15% | 2% |
| 55 | WU Jing | 16% | 36% | 31% | 13% | 3% | - | - |
| 56 | SOUTHWELL Mia | 5% | 23% | 37% | 26% | 8% | 1% | - |
| 57 | ARGUELLO Camilla | 1% | 8% | 22% | 32% | 25% | 10% | 2% |
| 58 | LEE Elise | 2% | 14% | 31% | 31% | 16% | 4% | - |
| 59 | ONG Katherine | 2% | 14% | 30% | 32% | 17% | 4% | - |
| 60 | CHANG Grace | 9% | 30% | 36% | 19% | 5% | - | - |
| 61 | KARAVAS Lucy | 14% | 36% | 33% | 14% | 3% | - | |
| 62 | WILLER Anna | 1% | 6% | 20% | 33% | 28% | 11% | 2% |
| 63 | YAO Elizabeth | 7% | 28% | 37% | 22% | 6% | 1% | - |
| 64 | HU Emily | 4% | 17% | 32% | 29% | 14% | 3% | - |
| 65 | RADELL Zoe | 10% | 36% | 37% | 15% | 3% | - | - |
| 66 | SMITH Genevieve | 8% | 32% | 37% | 18% | 4% | - | - |
| 67 | WANG Keira | 2% | 11% | 28% | 34% | 20% | 5% | - |
| 68 | LIU Alyssa | - | 2% | 11% | 31% | 35% | 17% | 3% |
| 69 | LI Gloria | 2% | 13% | 32% | 34% | 16% | 3% | - |
| 70 | CHANG Kelly | 2% | 14% | 33% | 32% | 15% | 3% | - |
| 71 | FLORY Gaia | - | 1% | 8% | 28% | 42% | 22% | |
| 72 | ATA Emily | 6% | 26% | 37% | 23% | 7% | 1% | - |
| 73 | BENNETT Eloise | 8% | 26% | 35% | 22% | 8% | 1% | - |
| 74 | KONDE Anika | 9% | 30% | 35% | 20% | 6% | 1% | - |
| 75 | GU Allison | 1% | 10% | 28% | 35% | 21% | 5% | - |
| 76 | FREY Elise | 2% | 11% | 27% | 33% | 21% | 6% | 1% |
| 77 | GAO Anita | 14% | 35% | 33% | 14% | 3% | - | |
| 78 | WANG Selina | 8% | 28% | 35% | 21% | 7% | 1% | - |
| 79 | ZHANG Shihan | 3% | 15% | 29% | 30% | 17% | 5% | 1% |
| 79 | LIANG Katherine | 3% | 14% | 30% | 32% | 17% | 4% | - |
| 81 | LAMTAN Trinity | - | 3% | 15% | 33% | 33% | 14% | 2% |
| 82 | MAZZURCO Marin | 9% | 33% | 38% | 16% | 3% | - | - |
| 83 | GARCIA RODRIGUEZ Victoria Maria | 6% | 26% | 36% | 24% | 8% | 1% | - |
| 84 | MACHIRAJU Ishita | 6% | 21% | 33% | 26% | 11% | 3% | - |
| 85 | PARRA Luciana | 6% | 26% | 37% | 23% | 6% | 1% | - |
| 86 | PETACCHI Lorena | 5% | 20% | 34% | 28% | 11% | 2% | - |
| 87 | DU Jessica | 8% | 27% | 36% | 22% | 6% | 1% | - |
| 88 | ARANGO Ivanna | 28% | 41% | 24% | 7% | 1% | - | - |
| 89 | MCCABE Ashley | 26% | 41% | 25% | 7% | 1% | - | - |
| 90 | TOPALOV Julia | 11% | 31% | 34% | 18% | 5% | 1% | - |
| 91 | SON Ellie | 18% | 38% | 30% | 11% | 2% | - | - |
| 92 | RAZIANO Collins | 42% | 40% | 15% | 2% | - | - | - |
| 92 | JIN Ailin | 21% | 40% | 28% | 10% | 2% | - | - |
| 94 | DY Azurie | 35% | 44% | 18% | 3% | - | - | - |
| 95 | BRAUN Victoria | 35% | 42% | 19% | 4% | - | - | - |
| 96 | CAO Amanda | 24% | 42% | 26% | 7% | 1% | - | - |
| 96 | ZHANG Elyna | 16% | 37% | 31% | 13% | 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.