Orange County Convention Center - Orlando, FL, 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 | LORD Sarah-Eve | - | - | 2% | 11% | 31% | 39% | 17% |
| 2 | HEPLER Sarah | - | - | 1% | 6% | 27% | 44% | 21% |
| 3 | CARRIER Meredith | - | - | - | 3% | 18% | 42% | 36% |
| 3 | LEE yat ching | - | - | - | 5% | 24% | 45% | 27% |
| 5 | LIU Baihan | - | - | 3% | 15% | 33% | 35% | 14% |
| 6 | WANG Jessie | 1% | 8% | 25% | 35% | 24% | 7% | 1% |
| 7 | DONGES Anna | - | - | 3% | 14% | 34% | 37% | 12% |
| 8 | JIN Yanjun | - | 2% | 11% | 30% | 36% | 18% | 3% |
| 9 | BAKSA Frances E. | - | - | - | 1% | 8% | 34% | 57% |
| 10 | BOTNER Olivia | - | 1% | 7% | 23% | 35% | 26% | 7% |
| 10 | KUMAR Anusha | - | 1% | 5% | 16% | 32% | 33% | 14% |
| 12 | CUEVA Viola | 4% | 22% | 40% | 27% | 7% | 1% | - |
| 13 | CREMONA Viola Maria | - | 1% | 4% | 17% | 34% | 32% | 11% |
| 14 | ANDREYENKA Yana | 1% | 9% | 27% | 36% | 22% | 5% | |
| 15 | KOVALCHUK Erika S. | 6% | 24% | 36% | 25% | 8% | 1% | - |
| 15 | NGUYEN Audrey | - | - | 1% | 7% | 26% | 42% | 23% |
| 17 | PULLEN Ayah | - | 4% | 18% | 37% | 33% | 9% | |
| 18 | SHAKIR Inaaya | - | 3% | 15% | 32% | 32% | 15% | 3% |
| 19 | FREEMAN Kit | 2% | 11% | 29% | 35% | 20% | 4% | |
| 20 | CHEN Jingyun | - | - | 3% | 17% | 41% | 32% | 8% |
| 21 | CHIRASHNYA Mika | - | 3% | 17% | 34% | 31% | 12% | 2% |
| 22 | ROMERO KURI Celeste | - | 1% | 7% | 22% | 36% | 27% | 7% |
| 23 | WALLER DEL VALLE Alanis | - | 2% | 10% | 26% | 35% | 23% | 6% |
| 24 | GANSER Nicole | - | 4% | 18% | 34% | 30% | 11% | 1% |
| 25 | GORNOVSKY Abigail | - | 4% | 18% | 36% | 32% | 10% | |
| 26 | KORABLINA Aleksandra | 1% | 7% | 21% | 32% | 26% | 11% | 2% |
| 27 | TAO Olivia A. | - | - | 1% | 7% | 24% | 41% | 26% |
| 27 | GAVASHELI Margarita | 15% | 41% | 32% | 11% | 2% | - | - |
| 29 | BROWN Hannah | - | - | 2% | 8% | 25% | 40% | 26% |
| 30 | JARUSHI Amnee | 1% | 17% | 37% | 31% | 12% | 2% | - |
| 31 | MOLLINIER Angel | 1% | 8% | 24% | 35% | 24% | 7% | 1% |
| 32 | LEWIS Rachel | - | 3% | 13% | 29% | 33% | 18% | 4% |
| 33 | NOH Rachel | 7% | 25% | 34% | 24% | 9% | 2% | < 1% |
| 34 | LIN Victoria T. | - | 4% | 16% | 30% | 31% | 15% | 3% |
| 35 | JUDICKE Olivia | 1% | 10% | 27% | 34% | 21% | 6% | - |
| 36 | VOROS Agnes | - | 1% | 5% | 21% | 42% | 31% | |
| 37 | YOUSSEF Caroline | 17% | 37% | 31% | 12% | 2% | - | |
| 38 | NGUYEN Ella | 1% | 9% | 26% | 35% | 22% | 7% | 1% |
| 39 | CHANG Chloe | 1% | 10% | 26% | 33% | 22% | 7% | 1% |
| 40 | ECHEVERRY Sofia | - | - | 2% | 12% | 31% | 38% | 17% |
| 41 | IYER Ishana | 1% | 14% | 33% | 32% | 16% | 4% | - |
| 42 | CHEN Alicia | 2% | 13% | 31% | 32% | 17% | 4% | - |
| 43 | CAREY Michele S. | - | - | 1% | 7% | 25% | 41% | 25% |
| 44 | VASYAKIN Liana | 3% | 18% | 34% | 30% | 12% | 2% | |
| 45 | SCHULTZ Gillian | 1% | 7% | 23% | 36% | 27% | 7% | |
| 46 | GASPAR Paula | - | 2% | 13% | 31% | 37% | 17% | |
| 47 | ANDREYENKA Hanna | - | 1% | 6% | 20% | 36% | 29% | 9% |
| 48 | FLITMAN Gabrielle | 7% | 26% | 35% | 23% | 8% | 1% | - |
| 49 | LOZIER Grace | 8% | 30% | 37% | 20% | 5% | 1% | - |
| 50 | BARCLAY Khyri | 1% | 5% | 18% | 32% | 29% | 13% | 2% |
| 51 | YOU Isabel B. | 1% | 8% | 27% | 36% | 22% | 6% | 1% |
| 52 | BARJAK CARDENAS Claudine C. | - | 2% | 9% | 26% | 37% | 22% | 4% |
| 53 | NGUYEN Ashley L. | - | 5% | 19% | 35% | 30% | 11% | 1% |
| 54 | CHANG Abigail | 4% | 23% | 38% | 26% | 8% | 1% | |
| 55 | MCCREARY Madeleine | 3% | 15% | 32% | 32% | 15% | 3% | |
| 56 | NELSON Grace E. | 2% | 12% | 28% | 32% | 19% | 6% | 1% |
| 57 | SU Evelyn | 1% | 5% | 19% | 33% | 29% | 11% | 1% |
| 58 | DASILVA Mia | 5% | 22% | 35% | 26% | 10% | 2% | - |
| 59 | DUMAS Marie | - | 2% | 11% | 28% | 35% | 20% | 4% |
| 60 | WANG Ziqiao (Claire) | 1% | 10% | 28% | 34% | 20% | 6% | 1% |
| 61 | PARSONS Mischa | 1% | 6% | 24% | 36% | 25% | 7% | 1% |
| 62 | COLELLA Lauren | 2% | 14% | 31% | 33% | 16% | 3% | |
| 63 | KAUR Manroop | 4% | 21% | 37% | 28% | 9% | 1% | |
| 64 | KALGAONKAR Arohi | 1% | 8% | 26% | 36% | 23% | 6% | 1% |
| 65 | NANTON SHYAMALA M. | - | 2% | 11% | 28% | 35% | 20% | 5% |
| 66 | FERNLUND Helen | 2% | 12% | 28% | 32% | 19% | 6% | 1% |
| 67 | FANG Jocelyn | 2% | 16% | 34% | 32% | 14% | 2% | - |
| 68 | BARDIN Kira | 6% | 23% | 35% | 25% | 9% | 2% | - |
| 69 | PRIMES Amanda M. | - | 4% | 18% | 35% | 30% | 11% | 1% |
| 70 | HAYNES Antonia | 3% | 18% | 35% | 30% | 12% | 2% | |
| 71 | SANDERS Charlotte | 2% | 13% | 32% | 35% | 16% | 3% | |
| 72 | CHI Sarah | 21% | 40% | 28% | 10% | 2% | - | - |
| 73 | MONOVA Lilyana | - | 2% | 13% | 31% | 35% | 17% | 2% |
| 74 | FAN Elizabeth | - | 2% | 9% | 26% | 35% | 22% | 5% |
| 75 | D'ANGELO Olivia | 35% | 42% | 18% | 4% | - | - | - |
| 76 | XU Celina | 1% | 7% | 24% | 35% | 25% | 8% | 1% |
| 77 | ERSHOVA Anastasia | 9% | 31% | 36% | 19% | 5% | - | - |
| 78 | RAFFERTY Catherine | 5% | 29% | 40% | 21% | 4% | - | - |
| 79 | RALSTON Katy | 15% | 35% | 32% | 14% | 3% | - | - |
| 80 | HAHN Rebecca | 5% | 21% | 35% | 28% | 10% | 1% | |
| 81 | ZHANG Helen | 37% | 42% | 18% | 4% | - | - | |
| 82 | WILFORD Madigan | 34% | 43% | 19% | 4% | - | - | - |
| 83 | TOFFELMIRE Audrey E. | 8% | 26% | 34% | 23% | 8% | 1% | - |
| 84 | MILLER Cassandra | 68% | 27% | 4% | - | - | - | - |
| 85 | MARTIN Adriana | 2% | 16% | 38% | 33% | 10% | 1% | - |
| 86 | HILBY Olivia | 6% | 23% | 34% | 25% | 9% | 2% | - |
| 87 | KOMAROW Anastasia | 13% | 36% | 33% | 14% | 3% | - | - |
| 88 | DAVIS Shanna | 23% | 43% | 26% | 7% | 1% | - | - |
| 88 | SAYER Laura | 4% | 18% | 32% | 28% | 14% | 4% | - |
| 90 | SUN Joanna | 5% | 24% | 36% | 25% | 9% | 1% | - |
| 91 | DAVIS Elisabeth | 35% | 42% | 19% | 4% | - | - | - |
| 92 | MOSCOSO SERRANO Andrea | 5% | 26% | 39% | 24% | 6% | 1% | - |
| 93 | SKILLMAN Natalie | 26% | 41% | 25% | 7% | 1% | - | |
| 94 | RODA Thaleia | 10% | 33% | 35% | 18% | 4% | - | - |
| 94 | SARMIENTO Astrid | 49% | 39% | 11% | 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.