Fort Worth, TX - Fort Worth, TX, 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 | BINDER Sylvie A. | - | - | - | - | 6% | 30% | 64% |
| 2 | KNIGHT Skylar | - | 6% | 22% | 37% | 27% | 7% | |
| 3 | DESCHNER Stefani K. | - | - | - | 3% | 16% | 41% | 40% |
| 3 | RHODES Zander | - | - | 2% | 9% | 27% | 40% | 22% |
| 5 | CHO Sabrina N. | - | - | 3% | 13% | 31% | 36% | 17% |
| 6 | CHUSID Mikayla | 3% | 17% | 33% | 31% | 14% | 2% | - |
| 7 | LEE Alina | - | 1% | 8% | 24% | 36% | 24% | 6% |
| 8 | LAM Justina | - | 1% | 9% | 29% | 40% | 20% | |
| 9 | MARTOS Sara A. | - | 1% | 7% | 22% | 36% | 27% | 7% |
| 10 | CONWAY Josephina (JoJo) J. | - | 3% | 13% | 31% | 36% | 17% | 1% |
| 11 | PARTRIDGE Morgan K. | - | - | 1% | 5% | 21% | 43% | 30% |
| 12 | HE Elizabeth W. | - | - | 4% | 15% | 32% | 34% | 15% |
| 13 | BLOW Iman (Mani) A. | - | - | - | - | 1% | 16% | 82% |
| 14 | TAN Helen | - | - | 1% | 7% | 24% | 42% | 27% |
| 15 | JO Mia C. | 5% | 21% | 36% | 27% | 10% | 2% | - |
| 16 | YAROSHENKO Karina | - | - | 2% | 10% | 29% | 39% | 20% |
| 17 | STAMOS Maria | - | - | 1% | 10% | 30% | 41% | 18% |
| 18 | CHEN Jia P. | 1% | 6% | 20% | 33% | 27% | 11% | 2% |
| 19 | TAFFEL sara | - | - | 1% | 8% | 26% | 41% | 25% |
| 20 | KOO Haley B. | - | - | - | 2% | 13% | 39% | 45% |
| 21 | CHENG Evelyn | - | 1% | 4% | 17% | 35% | 33% | 9% |
| 22 | JING Alexandra | - | 2% | 13% | 31% | 35% | 17% | 2% |
| 23 | LEE Paulina | 4% | 21% | 35% | 27% | 10% | 2% | - |
| 24 | LESLIE Ryanne T. | - | 3% | 16% | 36% | 34% | 11% | |
| 25 | FLANAGAN Catherine H. | - | 3% | 15% | 33% | 34% | 13% | |
| 26 | KOO Rachel A. | - | 4% | 18% | 34% | 31% | 12% | 1% |
| 27 | QIAN Crystal | 1% | 8% | 24% | 35% | 24% | 8% | 1% |
| 28 | CHUSID Renata M. | - | 1% | 5% | 20% | 35% | 30% | 9% |
| 29 | APELIAN Katherine | - | 3% | 14% | 29% | 32% | 18% | 4% |
| 30 | KIM Rachael | 1% | 9% | 29% | 37% | 20% | 4% | |
| 31 | HOOSHI Erica S. | - | 3% | 12% | 28% | 33% | 20% | 5% |
| 32 | NOVOSELTSEVA Anna V. | - | 1% | 7% | 23% | 37% | 26% | 6% |
| 33 | SARTORI Taylor M. | 6% | 25% | 35% | 24% | 8% | 1% | - |
| 34 | SENIC Adeline | 4% | 19% | 34% | 29% | 12% | 2% | |
| 35 | GRIFFIN Emma G. | 1% | 9% | 29% | 37% | 20% | 4% | |
| 36 | ZHENG Vivian | - | 3% | 13% | 29% | 33% | 19% | 4% |
| 37 | HO Brianna W. | 1% | 9% | 25% | 35% | 23% | 7% | 1% |
| 38 | MINARIK Natalie M. | - | - | 4% | 16% | 35% | 34% | 11% |
| 39 | LUNG Katerina | 1% | 9% | 26% | 35% | 22% | 6% | 1% |
| 40 | BATRA Chaahat | 18% | 38% | 30% | 11% | 2% | - | - |
| 41 | KONG Chin-Yi | 1% | 5% | 19% | 34% | 29% | 11% | 1% |
| 42 | JING Emily | 1% | 6% | 24% | 37% | 26% | 6% | |
| 43 | BREKER Anika | 1% | 7% | 26% | 38% | 23% | 5% | |
| 44 | LIAO Lu Jia (Lucy) | 5% | 20% | 35% | 28% | 11% | 2% | |
| 45 | LEE Bethany W. | 6% | 23% | 35% | 25% | 9% | 1% | - |
| 46 | CHOI Lenna K. | - | 1% | 8% | 24% | 36% | 24% | 6% |
| 47 | ZHENG Ivy | - | 3% | 12% | 29% | 34% | 19% | 4% |
| 48 | CASTANEDA Erika L. | 1% | 10% | 28% | 35% | 20% | 5% | - |
| 49 | SHEN Sophia H. | 3% | 18% | 34% | 29% | 12% | 2% | - |
| 49 | KIM Katherine | 16% | 38% | 31% | 12% | 2% | - | - |
| 51 | WALKER Mayah J. | 13% | 34% | 33% | 15% | 3% | - | - |
| 52 | CHO Gracie L. | 8% | 28% | 35% | 21% | 6% | 1% | - |
| 52 | SOOD Ishani S. | 3% | 17% | 33% | 30% | 13% | 3% | - |
| 54 | LEE Allison (Allie) | - | 3% | 13% | 29% | 33% | 18% | 4% |
| 55 | NEWHARD Zelia K. | 17% | 37% | 31% | 13% | 3% | - | - |
| 56 | LI Phoebe J. | 1% | 7% | 23% | 35% | 25% | 8% | 1% |
| 57 | HUNG Juliana K. | - | 3% | 13% | 30% | 34% | 17% | 3% |
| 58 | ADLER Polly Z. | - | 4% | 17% | 32% | 30% | 14% | 2% |
| 59 | SERBAN Samantha M. | 1% | 6% | 21% | 35% | 28% | 9% | 1% |
| 60 | FERRETTI Anna Rebecca | 10% | 31% | 35% | 18% | 5% | 1% | - |
| 61 | PEVZNER Victoria | 1% | 9% | 26% | 34% | 22% | 7% | 1% |
| 62 | KONG Olivia | 8% | 27% | 34% | 22% | 7% | 1% | - |
| 63 | PARK Rowan M. | - | 4% | 18% | 34% | 32% | 11% | |
| 64 | EYER Hailey M. | 33% | 43% | 20% | 4% | - | - | |
| 65 | FREEDMAN Miranda W. | - | 3% | 13% | 30% | 34% | 17% | 3% |
| 66 | CAO Arianna L. | 1% | 8% | 25% | 36% | 24% | 7% | - |
| 67 | FERRARI Christina M. | - | 1% | 9% | 29% | 40% | 21% | |
| 68 | CEPERO Rosabel | 5% | 22% | 35% | 27% | 10% | 1% | |
| 69 | ZHAO Sophie L. | 37% | 43% | 17% | 3% | - | - | |
| 70 | DAVIA Daniella V. | 3% | 16% | 32% | 31% | 15% | 4% | - |
| 71 | DE LA CRUZ Eden | 18% | 39% | 30% | 11% | 2% | - | - |
| 72 | SEAL Grace (Gracie) C. | 15% | 36% | 32% | 14% | 3% | - | - |
| 73 | NOVOSELTSEVA Elizabeth (Liza) M. | 1% | 11% | 29% | 34% | 19% | 4% | - |
| 74 | DEBACK Greta I. | 14% | 39% | 33% | 12% | 2% | - | |
| 75 | TONG Ophelia | 14% | 34% | 33% | 15% | 3% | - | |
| 76 | SHAW Kayla M. | 10% | 32% | 35% | 18% | 4% | 1% | - |
| 77 | LI Grace Q. | 1% | 6% | 22% | 35% | 27% | 8% | - |
| 78 | GALAVOTTI Claire Teresa | 3% | 15% | 30% | 31% | 17% | 4% | - |
| 79 | KOKES Gabrielle | 2% | 11% | 29% | 34% | 20% | 4% | - |
| 79 | LI Meilin | 7% | 26% | 36% | 23% | 7% | 1% | - |
| 81 | CHO Cameron S. | 15% | 35% | 32% | 14% | 3% | - | - |
| 82 | YU Seneca | 9% | 31% | 36% | 19% | 5% | 1% | - |
| 83 | WANG Ellen | 1% | 9% | 25% | 35% | 23% | 6% | 1% |
| 84 | CHEN Allison V. | 15% | 36% | 32% | 13% | 3% | - | - |
| 85 | XUE Alanna | 19% | 38% | 29% | 11% | 2% | - | - |
| 86 | OH Erin H. | 10% | 31% | 35% | 19% | 5% | 1% | - |
| 87 | SHEN Lydia | 9% | 29% | 34% | 20% | 6% | 1% | - |
| 88 | PROCOPIO Lucia | 19% | 39% | 30% | 11% | 2% | - | - |
| 89 | LEE Brianna J. | < 1% | 4% | 17% | 33% | 31% | 13% | 2% |
| 90 | GUERRA Sofia E. | 18% | 39% | 30% | 11% | 2% | - | - |
| 91 | CHO Taylor S. | 15% | 42% | 31% | 10% | 1% | - | |
| 92 | OFFERLE Judith (Jude) A. | 30% | 42% | 22% | 6% | 1% | - | - |
| 93 | SEAL Julie T. | 2% | 13% | 32% | 34% | 16% | 3% | - |
| 94 | ATLURI Srija | 28% | 41% | 23% | 7% | 1% | - | - |
| 95 | KOENIG Charlotte R. | 4% | 20% | 34% | 28% | 11% | 2% | - |
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.