Baird Center - Milwaukee, WI, 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 | ONG Lauren | - | - | 3% | 12% | 30% | 37% | 17% |
| 2 | DEHON Inès | - | - | 2% | 11% | 32% | 39% | 17% |
| 3 | COLBY Mercer | - | 1% | 11% | 33% | 39% | 16% | |
| 3 | DUTA Lyra | - | - | 2% | 13% | 33% | 37% | 14% |
| 5 | SHEARER Alena | - | - | 6% | 26% | 43% | 22% | 3% |
| 6 | YADAV Tishya | - | 5% | 19% | 35% | 31% | 10% | |
| 7 | PADANILAM Lily | - | - | 1% | 10% | 33% | 40% | 15% |
| 8 | CHERUKURI Tanvi | - | 3% | 16% | 34% | 32% | 13% | 2% |
| 9 | XA-CHIN Sara | - | - | 1% | 6% | 22% | 41% | 31% |
| 10 | BUTMAN Chloe Alexandra | - | 2% | 13% | 32% | 37% | 16% | |
| 11 | HWANG Charlotte | - | 5% | 19% | 33% | 28% | 12% | 2% |
| 12 | ASHTIANI Shaya | - | - | 1% | 9% | 29% | 40% | 21% |
| 13 | YE Madeleine | 2% | 13% | 30% | 32% | 18% | 5% | - |
| 14 | PARK Haylie | - | 2% | 11% | 28% | 35% | 20% | 3% |
| 15 | REAVIS Isabel | - | - | 4% | 19% | 40% | 30% | 7% |
| 16 | MCMAHON Kylin S. | - | - | 1% | 9% | 27% | 40% | 23% |
| 17 | DOLEV Rony | - | 2% | 10% | 25% | 34% | 23% | 6% |
| 18 | BARNES Sarah | - | 4% | 17% | 31% | 30% | 15% | 3% |
| 19 | FLEEGER Sophia | - | 8% | 29% | 36% | 21% | 5% | 1% |
| 20 | ISBERG Natalie | - | - | - | 2% | 11% | 38% | 49% |
| 21 | CHERON Helene | - | 4% | 18% | 35% | 30% | 11% | 1% |
| 22 | YANG Caroline | - | - | 4% | 19% | 39% | 33% | 5% |
| 23 | AKULA Roszlynn | 1% | 7% | 21% | 33% | 26% | 11% | 2% |
| 24 | SADANI Jyotika | - | 1% | 6% | 22% | 37% | 27% | 7% |
| 25 | SHELLEY Scarlett | - | 2% | 13% | 31% | 34% | 17% | 3% |
| 26 | BAINS Nandini | - | 3% | 12% | 27% | 33% | 20% | 5% |
| 27 | KHOST Maeve | - | 3% | 13% | 29% | 33% | 18% | 4% |
| 28 | MOON Claire | - | 2% | 10% | 26% | 34% | 22% | 5% |
| 29 | SUN Angela | 2% | 22% | 41% | 26% | 7% | 1% | - |
| 30 | MING Emma | - | 4% | 14% | 30% | 32% | 17% | 3% |
| 31 | VATS Ishita | - | 3% | 18% | 35% | 31% | 11% | 1% |
| 32 | ALDORT Amanda | 1% | 5% | 18% | 32% | 29% | 13% | 2% |
| 33 | KU Chloe | - | 1% | 4% | 16% | 33% | 34% | 13% |
| 34 | HUA Catherine W. | - | - | - | - | 4% | 29% | 67% |
| 34 | PETTIT Sara M. | - | - | - | 2% | 12% | 39% | 47% |
| 36 | LIU Hannah | - | 1% | 7% | 26% | 38% | 23% | 5% |
| 37 | NEUMAN Ella | - | 1% | 5% | 20% | 37% | 30% | 7% |
| 38 | KANG Soeun | - | 1% | 11% | 30% | 36% | 19% | 3% |
| 39 | HAN Emma | - | 3% | 13% | 29% | 32% | 18% | 4% |
| 40 | YOO Audrey | - | 6% | 23% | 37% | 26% | 7% | - |
| 41 | CLIFTON Nicole R. | - | - | - | 3% | 20% | 44% | 32% |
| 42 | CHANG Annette | - | 2% | 10% | 26% | 34% | 22% | 6% |
| 43 | MALLAMPATI Jaabili | - | 3% | 14% | 30% | 32% | 16% | 3% |
| 44 | JEFFORDS Sophia | - | 1% | 9% | 30% | 41% | 19% | |
| 45 | XU Kaylyn | - | 2% | 10% | 25% | 34% | 23% | 7% |
| 46 | KOHLBERGER Noelle | - | - | - | 1% | 10% | 39% | 51% |
| 47 | GUO Daisy | 2% | 13% | 34% | 34% | 15% | 3% | - |
| 48 | LU Angela | 2% | 19% | 42% | 29% | 8% | 1% | - |
| 49 | GOSAVI Aabolee | - | - | 5% | 20% | 38% | 30% | 7% |
| 50 | HILD Anya | - | 4% | 17% | 34% | 31% | 12% | 2% |
| 51 | POLSTON Ella | - | 4% | 18% | 34% | 30% | 12% | 2% |
| 52 | NANDA Maanika | - | 2% | 9% | 25% | 35% | 23% | 5% |
| 52 | KAZA Ananya | 6% | 22% | 35% | 26% | 10% | 2% | - |
| 54 | JACHYMIAK Emilia | - | 4% | 20% | 38% | 30% | 8% | |
| 55 | LAGUNA Genevieve | - | 3% | 17% | 39% | 32% | 9% | 1% |
| 56 | WONG Cerise | - | 4% | 17% | 31% | 30% | 14% | 3% |
| 57 | RANDALL-COLLINS Shea M. | - | - | 3% | 15% | 35% | 35% | 12% |
| 58 | LEUNG Ashlyn K. | - | 1% | 7% | 21% | 34% | 28% | 10% |
| 59 | SNOAD Indy | - | 4% | 17% | 32% | 31% | 14% | 2% |
| 60 | NAKATA Gwyneth | 15% | 42% | 32% | 9% | 1% | - | - |
| 61 | WITEK Isabelle | 4% | 22% | 37% | 27% | 9% | 1% | |
| 62 | PAINE Lily | - | - | < 1% | 3% | 17% | 41% | 39% |
| 63 | SAMPATH Medha | 4% | 19% | 34% | 28% | 12% | 2% | - |
| 64 | LADY Jamie | 9% | 32% | 38% | 17% | 3% | - | - |
| 65 | CHEN Kasey | - | 2% | 14% | 34% | 35% | 14% | 2% |
| 66 | DONDERIS Katherine | - | 2% | 10% | 25% | 34% | 23% | 6% |
| 67 | LEE Kaitlin | - | 2% | 11% | 26% | 33% | 21% | 5% |
| 68 | BANGALORE Shriya | 7% | 26% | 35% | 23% | 8% | 1% | - |
| 69 | WEINSTEIN Hannah | 1% | 9% | 29% | 38% | 18% | 4% | - |
| 70 | COOVADIA Malina | 1% | 6% | 20% | 32% | 27% | 11% | 2% |
| 71 | DESAUTELS Alexandra | 1% | 8% | 26% | 35% | 22% | 6% | 1% |
| 72 | BARCZAY Sara E. | - | 2% | 13% | 34% | 34% | 15% | 2% |
| 73 | DANTULURI Shivani | 2% | 14% | 32% | 33% | 15% | 3% | |
| 74 | IREGUI Sofia | 2% | 15% | 37% | 33% | 12% | 2% | |
| 75 | LIM Eunice | 5% | 24% | 35% | 25% | 9% | 2% | - |
| 76 | HUSS Miriam | - | 2% | 15% | 36% | 35% | 11% | 1% |
| 77 | PHAN Genevieve | 1% | 6% | 23% | 37% | 26% | 7% | 1% |
| 78 | BARBORIAK Emily | 1% | 8% | 24% | 34% | 24% | 8% | 1% |
| 79 | ERPELDING Emily | 3% | 16% | 32% | 30% | 15% | 3% | - |
| 80 | BIESIADA Sophia | 5% | 21% | 33% | 27% | 11% | 2% | - |
| 81 | BANDHU Saahiti | - | 1% | 11% | 30% | 36% | 19% | 3% |
| 82 | STONE Coral | - | - | 1% | 7% | 25% | 42% | 25% |
| 83 | KONZEN Iris | 5% | 22% | 34% | 26% | 10% | 2% | - |
| 84 | HARRISON Allie | 35% | 41% | 19% | 5% | 1% | - | - |
| 85 | SOBERY Lillian | 1% | 7% | 26% | 37% | 23% | 5% | - |
| 86 | MEFFORD Isadora | 13% | 38% | 35% | 12% | 2% | - | - |
| 87 | PATIL Jyothi | 9% | 28% | 35% | 21% | 6% | 1% | - |
| 88 | DEMARIA Lauren | 1% | 8% | 25% | 33% | 23% | 8% | 1% |
| 89 | SEELIG Samantha | 1% | 8% | 24% | 34% | 24% | 8% | 1% |
| 90 | TESTROET Aubrey | - | - | 3% | 14% | 31% | 35% | 16% |
| 90 | TAMARO Allie | 3% | 21% | 39% | 28% | 9% | 1% | - |
| 92 | SCHOON REBECCA | - | 3% | 13% | 28% | 33% | 19% | 4% |
| 93 | KIM Alice | 15% | 34% | 32% | 15% | 4% | 1% | - |
| 94 | MUTHAPPAN Sahana | 2% | 11% | 27% | 32% | 21% | 7% | 1% |
| 95 | FORTNER Violet | 10% | 37% | 36% | 15% | 3% | - | - |
| 96 | JAJRA Avni | 18% | 37% | 30% | 12% | 3% | - | - |
| 97 | XIAO Sophia | 9% | 28% | 34% | 21% | 7% | 1% | - |
| 98 | WAY Samantha | - | - | 2% | 11% | 31% | 39% | 17% |
| 99 | MILLER SACKMAN Anita | 7% | 24% | 34% | 25% | 10% | 2% | - |
| 100 | KAZA Aditi | 35% | 41% | 19% | 4% | - | - | |
| 101 | CHIU Philippa | 25% | 45% | 24% | 6% | 1% | - | |
| 102 | ZHANG Erica | 1% | 6% | 20% | 33% | 27% | 11% | 2% |
| 103 | YAO Reeva | - | 4% | 17% | 32% | 31% | 13% | 2% |
| 104 | MARTIN Audrey | 41% | 43% | 14% | 2% | - | - | - |
| 104 | HENRY Erin | 2% | 17% | 37% | 30% | 11% | 2% | - |
| 106 | LOTURCO Akiko | 1% | 8% | 28% | 38% | 21% | 4% | - |
| 107 | MUKHERJEE Moupriya | 7% | 25% | 34% | 23% | 9% | 2% | - |
| 108 | JUDE Simona | 5% | 21% | 34% | 27% | 11% | 2% | - |
| 109 | JAGROO Mary | 2% | 23% | 38% | 26% | 9% | 1% | - |
| 110 | XIE Shirley | 4% | 31% | 41% | 20% | 4% | - | - |
| 111 | WU Chloe | 21% | 42% | 27% | 8% | 1% | - | - |
| 112 | MADDEN Chloe | 67% | 28% | 4% | - | - | - | - |
| 113 | CARNES Meghan | 4% | 19% | 34% | 29% | 12% | 2% | - |
| 114 | MILLER Sophia | - | 5% | 18% | 32% | 29% | 13% | 2% |
| 115 | REESE Rebecca M. | 5% | 28% | 39% | 21% | 5% | 1% | - |
| 116 | WOLVERTON Emma | 55% | 36% | 8% | 1% | - | - | - |
| 117 | CAI Veronica | 2% | 12% | 31% | 35% | 17% | 3% | |
| 118 | SETHRE Traci | 1% | 9% | 25% | 34% | 23% | 7% | 1% |
| 118 | GAMEZ Jennifer | 3% | 19% | 34% | 29% | 12% | 3% | - |
| 120 | PERRY Madelyn | 28% | 45% | 22% | 4% | - | - | |
| 121 | WELCH Greta | 73% | 24% | 3% | - | - | - | - |
| 121 | LYNCH Vivian | 41% | 42% | 14% | 2% | - | - | - |
| 123 | TERP Lucy | 22% | 39% | 27% | 10% | 2% | - | - |
| 123 | MALVESTUTO Prudence | 59% | 33% | 8% | 1% | - | - | - |
| 123 | MOROAICA Nsheka | 23% | 42% | 27% | 7% | 1% | - | - |
| 126 | HICKS Corlis | 43% | 41% | 14% | 2% | - | - | - |
| 126 | HOAGLAND Simone | 24% | 40% | 26% | 9% | 2% | - | - |
| 126 | FAGAN Cara | 23% | 42% | 26% | 7% | 1% | - | - |
| 129 | MCCAWLEY Madeleine | 80% | 18% | 1% | - | - | - | - |
| 130 | RAJAGOPALAN Dhanya | 12% | 37% | 34% | 14% | 3% | - | - |
| 131 | ALEXANDER Leigh | 1% | 13% | 43% | 33% | 9% | 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.