Orange County Convention Center - Orlando, FL, USA
Explore the probability of achieving at least a certain number of victories in the pool 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 | CHEN Renee | 100% | 100% | 100% | 100% | 98% | 82% | 38% |
| 2 | SHENG Chuxi | 100% | 100% | 100% | 96% | 79% | 42% | 10% |
| 3 | DU Hannah | 100% | 100% | 100% | 99% | 91% | 64% | 21% |
| 3 | WANG SIQI | 100% | 100% | 100% | 96% | 78% | 42% | 11% |
| 5 | GE Yu Ming | 100% | 100% | 100% | 99% | 92% | 67% | 26% |
| 6 | PAULUS Sloane E. | 100% | 100% | 100% | 97% | 81% | 44% | 10% |
| 7 | LI Yuhe | 100% | 100% | 98% | 88% | 62% | 27% | 5% |
| 8 | YU Jane | 100% | 100% | 97% | 84% | 54% | 20% | 3% |
| 9 | SHA Yi Ling | 100% | 100% | 96% | 80% | 47% | 16% | 2% |
| 10 | DONG Angela | 100% | 99% | 87% | 54% | 18% | 2% | |
| 11 | LEVY Avery | 100% | 100% | 97% | 79% | 44% | 14% | 2% |
| 12 | WU Renee | 100% | 100% | 100% | 99% | 88% | 50% | 9% |
| 13 | OH Ceana | 100% | 100% | 99% | 94% | 70% | 26% | |
| 14 | ZHANG Eunice | 100% | 100% | 99% | 94% | 72% | 35% | 7% |
| 15 | GREEN Marisa | 100% | 100% | 92% | 64% | 28% | 7% | 1% |
| 16 | ZHANG Ivy | 100% | 97% | 79% | 45% | 15% | 3% | - |
| 17 | CHOW Annabelle | 100% | 100% | 100% | 99% | 91% | 66% | 25% |
| 18 | COOPER Piper W. | 100% | 100% | 100% | 98% | 86% | 55% | 17% |
| 19 | OLIVEIRA Lavinia M. | 100% | 100% | 100% | 99% | 93% | 70% | 28% |
| 19 | WEBB Ella | 100% | 100% | 100% | 100% | 97% | 84% | 45% |
| 21 | BIODROWICZ Julia | 100% | 100% | 100% | 100% | 94% | 71% | 28% |
| 22 | WANG Sabrina | 100% | 100% | 91% | 56% | 15% | 2% | < 1% |
| 23 | KOSTELNY Alexis | 100% | 100% | 100% | 99% | 93% | 68% | 25% |
| 24 | SHMUKLER Maria | 100% | 99% | 91% | 64% | 27% | 5% | |
| 25 | SAIFEE Lamya | 100% | 100% | 100% | 97% | 81% | 47% | 13% |
| 26 | LUONG Tiffany C. | 100% | 100% | 100% | 100% | 99% | 89% | 50% |
| 27 | HAN Crystal | 100% | 100% | 99% | 92% | 68% | 30% | 6% |
| 28 | WANG CAROL | 100% | 100% | 99% | 91% | 62% | 24% | 4% |
| 29 | TRACZ Calleigh D. | 100% | 100% | 99% | 93% | 70% | 33% | 6% |
| 30 | LAI Sophia | 100% | 100% | 100% | 98% | 83% | 40% | 7% |
| 31 | QUINN Anna | 100% | 98% | 73% | 33% | 8% | 1% | - |
| 32 | ZHANG Selena | 100% | 100% | 99% | 90% | 60% | 18% | |
| 33 | ZELDIN Nadia | 100% | 100% | 97% | 82% | 51% | 18% | 2% |
| 34 | FIELD Julianna | 100% | 100% | 100% | 95% | 77% | 41% | 9% |
| 35 | NIKOLIC Alexandra | 100% | 100% | 100% | 97% | 82% | 48% | 13% |
| 36 | ROZPEDOWSKI Claire | 100% | 100% | 98% | 82% | 47% | 16% | 2% |
| 37 | FENG Audrey | 100% | 86% | 51% | 17% | 3% | - | - |
| 37 | GANDLURI Sreehitha | 100% | 100% | 95% | 70% | 30% | 6% | - |
| 39 | MATOS Lívia | 100% | 100% | 100% | 99% | 92% | 67% | 25% |
| 40 | HAN Ashley | 100% | 100% | 97% | 84% | 50% | 14% | |
| 41 | WANG Celine S. | 100% | 99% | 92% | 66% | 29% | 5% | |
| 42 | WEI Angela | 100% | 100% | 95% | 74% | 38% | 10% | 1% |
| 43 | DANIELYANTS Gabriela | 100% | 99% | 89% | 63% | 29% | 7% | 1% |
| 44 | RICHARD Dominique | 100% | 100% | 94% | 71% | 34% | 8% | 1% |
| 45 | TURNER Stephanie E. | 100% | 100% | 99% | 91% | 66% | 29% | 5% |
| 46 | CHENG Isa | 100% | 79% | 36% | 9% | 1% | - | - |
| 47 | MARKOVSKY Nina | 100% | 100% | 96% | 78% | 45% | 14% | 2% |
| 48 | NEUMAN Sophie | 100% | 99% | 89% | 58% | 23% | 5% | - |
| 49 | NELSON Tanya | 100% | 100% | 99% | 91% | 67% | 32% | 7% |
| 50 | DOMINGUEZ Erika | 100% | 100% | 92% | 64% | 28% | 6% | 1% |
| 51 | MARTIRE Alessandra | 100% | 95% | 70% | 32% | 8% | 1% | - |
| 52 | HOBSON Ava | 100% | 100% | 99% | 91% | 62% | 24% | 4% |
| 53 | LEE emily | 100% | 100% | 97% | 80% | 45% | 11% | |
| 54 | SHERLOCK Gabriella | 100% | 86% | 47% | 14% | 2% | - | |
| 55 | BEAVER Ava | 100% | 100% | 95% | 73% | 37% | 9% | 1% |
| 56 | CHEN Jephanie Y. | 100% | 93% | 55% | 17% | 3% | - | - |
| 57 | FELLMAN Sara | 100% | 100% | 97% | 79% | 44% | 13% | 2% |
| 58 | HAFEZ Tahiyah | 100% | 100% | 99% | 91% | 64% | 28% | 5% |
| 59 | SONG Erin | 100% | 71% | 27% | 5% | - | - | - |
| 60 | RICHARD Clara | 100% | 100% | 85% | 44% | 10% | 1% | - |
| 61 | LIU Jingyi (Eva) | 100% | 99% | 89% | 51% | 16% | 2% | - |
| 62 | PAULUS Isabella | 100% | 99% | 90% | 61% | 24% | 5% | - |
| 63 | YIM Rachael | 100% | 97% | 79% | 44% | 14% | 2% | - |
| 64 | DEBLAERE Caecie M. | 100% | 98% | 59% | 17% | 2% | - | - |
| 65 | GADIYARAM Sushama | 100% | 74% | 29% | 6% | - | - | |
| 66 | WANG Yudi | 100% | 98% | 85% | 50% | 16% | 2% | |
| 67 | MEYER Claudia | 100% | 100% | 95% | 78% | 45% | 15% | 2% |
| 67 | CHOI ERIN | 100% | 39% | 6% | - | - | - | - |
| 69 | OJEDA Andrea | 100% | 100% | 95% | 77% | 44% | 14% | 2% |
| 70 | OWENS Elise | 100% | 96% | 75% | 38% | 11% | 2% | - |
| 71 | ISAACSON Mary Beth | 100% | 87% | 54% | 21% | 5% | - | - |
| 71 | SONG Jenna | 100% | 97% | 82% | 48% | 17% | 3% | - |
| 73 | HWANG Chanel | 100% | 78% | 35% | 8% | 1% | - | |
| 74 | TAYLOR Gabrielle | 100% | 87% | 37% | 8% | 1% | - | - |
| 75 | MENDEZ SCHIK Hannah | 100% | 92% | 64% | 29% | 8% | 1% | - |
| 76 | BABER Eshaal | 100% | 72% | 31% | 8% | 1% | - | - |
| 77 | BROWN Lily | 100% | 97% | 81% | 49% | 18% | 3% | - |
| 78 | SHIN Jaelynn | 100% | 66% | 24% | 5% | - | - | - |
| 79 | CHAKRAPANI Ila | 100% | 70% | 19% | 2% | - | - | - |
| 80 | WANG Sophia | 100% | 100% | 95% | 69% | 28% | 5% | - |
| 81 | FRIEND Sophie | 100% | 33% | 5% | - | - | - | - |
| 82 | CHANG Janelle | 100% | 56% | 11% | 1% | - | - | - |
| 83 | LAWRENCE Nia | 100% | 67% | 24% | 4% | - | - | |
| 84 | HERNANDEZ Veronica L. | 100% | 93% | 64% | 29% | 7% | 1% | - |
| 85 | BEN YAHMED Farah | 100% | 96% | 71% | 31% | 6% | - | - |
| 86 | ORBE-AUSTIN Nia | 100% | 20% | 2% | - | - | - | - |
| 87 | BALCE Cyril | 100% | 88% | 53% | 20% | 4% | - | - |
| 88 | WANG Kelsey | 100% | 11% | - | - | - | - | - |
| 89 | MALVESTUTO Evelyn | 100% | 33% | 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.