Santa Clara Convention Center - Santa Clara, CA, 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 | ELSTON Sophia | - | - | - | 1% | 9% | 37% | 52% |
| 2 | XU Serena | - | - | - | 5% | 23% | 45% | 26% |
| 3 | MOLLINIER Angel | - | - | 1% | 7% | 27% | 43% | 21% |
| 3 | CAMAMA Tessa | - | - | - | 3% | 17% | 42% | 38% |
| 5 | MENG Fina | 1% | 11% | 31% | 36% | 17% | 3% | - |
| 6 | SUN Hanya | - | - | 1% | 6% | 26% | 44% | 23% |
| 7 | HABEK Sophia | - | - | - | 1% | 8% | 36% | 55% |
| 8 | KANE Chloe | - | 5% | 22% | 40% | 27% | 6% | |
| 9 | HERNASA Anna | - | - | 2% | 12% | 35% | 41% | 10% |
| 10 | KARTHIK Diya | 1% | 11% | 31% | 36% | 17% | 3% | - |
| 11 | SCHOR Elisabeth | - | 1% | 5% | 22% | 40% | 27% | 5% |
| 12 | DYMAR Anna | 1% | 8% | 28% | 39% | 20% | 3% | |
| 13 | SALISTRA Emilia | - | - | 3% | 16% | 42% | 39% | |
| 14 | BUCA Nora | - | 3% | 17% | 38% | 33% | 9% | |
| 15 | LEE Adelynn | - | 2% | 17% | 36% | 32% | 12% | 2% |
| 16 | ROMO OSTOS Nubia Nahomi | - | - | 4% | 18% | 35% | 32% | 11% |
| 17 | LEE Emily | - | - | 3% | 17% | 36% | 33% | 10% |
| 18 | MENDOZA zoie | - | 1% | 7% | 26% | 42% | 24% | |
| 19 | WANG Jessie | - | - | 1% | 8% | 28% | 41% | 21% |
| 20 | XU Jessica | - | - | - | 5% | 22% | 44% | 29% |
| 21 | MERRIMAN Rie | - | - | 3% | 16% | 42% | 38% | |
| 22 | LIN Isabel | 1% | 9% | 26% | 36% | 23% | 5% | |
| 23 | XU Celina | - | 2% | 13% | 34% | 37% | 14% | |
| 24 | DALEY Keira | - | - | 4% | 20% | 44% | 31% | |
| 25 | LI Yixin | - | - | 4% | 15% | 33% | 35% | 13% |
| 26 | LEE Kaitlyn | 1% | 15% | 38% | 33% | 11% | 1% | |
| 27 | NGUYEN Renee | - | 5% | 20% | 37% | 30% | 9% | |
| 28 | KANDALA Aanya | 13% | 37% | 34% | 13% | 2% | - | |
| 29 | LIN Laura | - | 1% | 8% | 27% | 39% | 20% | 3% |
| 30 | LU Chloe | 8% | 33% | 37% | 17% | 4% | - | - |
| 31 | CHUNG Penelope | - | 1% | 9% | 31% | 42% | 17% | |
| 32 | LI Yunxuan (Joy) | 2% | 14% | 32% | 32% | 16% | 4% | - |
| 33 | KROTZ Gemma | - | 5% | 20% | 35% | 29% | 10% | 1% |
| 34 | LIANG Jingjing | - | 1% | 6% | 25% | 40% | 24% | 4% |
| 35 | MOHAN Riya | 1% | 8% | 26% | 37% | 23% | 5% | |
| 36 | FREEMAN Kit | - | 3% | 15% | 34% | 34% | 13% | 2% |
| 37 | GIERAT-KATZ Izabella | - | 1% | 5% | 19% | 37% | 31% | 8% |
| 38 | YUNG Bethany | - | 2% | 12% | 30% | 35% | 17% | 3% |
| 39 | RASHID Summer | 1% | 11% | 33% | 37% | 16% | 2% | |
| 40 | YUMIACO Nylah | 6% | 25% | 36% | 25% | 8% | 1% | |
| 41 | CHEONG Chloe | - | 5% | 23% | 39% | 25% | 6% | 1% |
| 42 | FENG Esther | 3% | 17% | 36% | 31% | 11% | 2% | - |
| 43 | MARTYNOVA Diana | - | - | - | 3% | 17% | 43% | 37% |
| 44 | YOUN Kylie | - | 1% | 9% | 29% | 37% | 20% | 4% |
| 45 | JAQUISH Zoey | 2% | 15% | 35% | 33% | 13% | 2% | - |
| 46 | ZHAO Isabel | - | - | 2% | 13% | 36% | 38% | 11% |
| 47 | WU Jessica | - | - | 3% | 14% | 32% | 35% | 15% |
| 48 | SAUCEDO Grecia | - | 1% | 9% | 28% | 40% | 22% | |
| 49 | XU Emily (Hua) | 12% | 37% | 35% | 13% | 2% | - | |
| 50 | CHI Zoe | - | - | 1% | 6% | 24% | 42% | 26% |
| 51 | TESLENKO Ekaterina | 28% | 47% | 20% | 4% | - | - | - |
| 52 | AIRES Julia | - | 1% | 11% | 30% | 36% | 19% | 4% |
| 53 | BURKS Madison | - | 2% | 13% | 33% | 34% | 16% | 3% |
| 54 | DENEALE Lucia | 1% | 9% | 29% | 37% | 19% | 4% | - |
| 55 | BURICEA Ada | - | - | 4% | 20% | 40% | 30% | 6% |
| 56 | WANG Chantal | 1% | 6% | 22% | 38% | 27% | 6% | |
| 57 | HERD Angela | 1% | 8% | 29% | 39% | 20% | 3% | |
| 58 | ZHAO Yanning | 6% | 35% | 39% | 17% | 3% | - | |
| 59 | CHIOU-WILLIAMS Matea | 7% | 27% | 38% | 22% | 5% | - | |
| 60 | GARCIA Sophia Noelle | 17% | 40% | 31% | 11% | 2% | - | - |
| 61 | SHETTY Nandita | 2% | 15% | 34% | 32% | 14% | 3% | - |
| 62 | ZU Jacqueline | 28% | 42% | 24% | 6% | 1% | - | |
| 63 | ALI Zoya | 65% | 30% | 5% | - | - | - | |
| 64 | CHEN Julia Z. | 2% | 15% | 35% | 33% | 13% | 2% | - |
| 65 | FENG Iris | 7% | 27% | 36% | 23% | 7% | 1% | |
| 66 | SUNG Audrey | - | 6% | 28% | 38% | 22% | 5% | - |
| 67 | FISCHBEIN Quinley | - | 4% | 17% | 33% | 30% | 13% | 2% |
| 68 | ARULKUMAR Lashia | 3% | 19% | 35% | 29% | 12% | 2% | - |
| 69 | OLSON Olivia | 8% | 31% | 38% | 19% | 4% | - | - |
| 70 | LE Luana | 8% | 32% | 38% | 18% | 4% | - | - |
| 71 | MANDAP Alessandra | - | 3% | 15% | 35% | 34% | 12% | 1% |
| 72 | ZHUANG Lauren | - | 5% | 18% | 35% | 31% | 10% | |
| 73 | SUN Karolyn | - | 3% | 19% | 39% | 31% | 7% | |
| 74 | RADOV Una | 5% | 24% | 37% | 25% | 8% | 1% | |
| 75 | DWIGGINS Reese | 6% | 26% | 40% | 23% | 5% | - | |
| 76 | YUEN Elsie | 6% | 25% | 37% | 25% | 7% | 1% | |
| 77 | ZHAO Emma | 16% | 36% | 32% | 13% | 3% | - | |
| 78 | CHO Jacey | 2% | 17% | 39% | 31% | 10% | 1% | - |
| 79 | WANG Lihong | 1% | 7% | 25% | 36% | 24% | 7% | 1% |
| 80 | CHO Anya | 1% | 12% | 33% | 35% | 16% | 3% | - |
| 81 | BUDMAN Ava | 1% | 8% | 29% | 37% | 20% | 5% | - |
| 82 | MIXON Ivory | 30% | 43% | 22% | 5% | - | - | |
| 83 | TISHKOVA-ROBERTS Daria | 22% | 45% | 26% | 6% | 1% | - | |
| 84 | PARK Rachel | 48% | 39% | 11% | 1% | - | - | - |
| 85 | HU Avery | 38% | 42% | 17% | 3% | - | - | - |
| 86 | UEMURA Lyllia | 48% | 38% | 12% | 2% | - | - | - |
| 87 | KOHLER Chrissy | 35% | 46% | 16% | 2% | - | - | - |
| 88 | SILVERMAN Sadie | 21% | 40% | 29% | 9% | 1% | - | - |
| 89 | LUCENA Yaretzi | 6% | 46% | 36% | 11% | 1% | - | - |
| 90 | MADANNAVAR Trisha | 13% | 42% | 33% | 10% | 1% | - | - |
| 91 | SCHULTZ Nomi | < 1% | 4% | 16% | 34% | 34% | 13% | |
| 91 | LI Carlie | 23% | 42% | 27% | 7% | 1% | - | |
| 93 | HILL Aurora | 23% | 42% | 27% | 8% | 1% | - | - |
| 94 | AGARWAL Keya | 31% | 45% | 20% | 4% | - | - | |
| 95 | WANANDI Miyuko | 18% | 42% | 30% | 9% | 1% | - | - |
| 96 | LEE Grace | 43% | 41% | 14% | 2% | - | - | - |
| 97 | OAKES Delaney | 81% | 18% | 1% | - | - | - | - |
| 98 | BRINDAVAN Vyahriti | 46% | 41% | 11% | 1% | - | - | - |
| 99 | EYUNNI Vibha | 4% | 24% | 39% | 25% | 7% | 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.