Secaucus, NJ - Secaucus, NJ, 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 | FOUR-GARCIA Madison | - | - | 1% | 8% | 31% | 42% | 19% |
| 2 | WIGGERS Susan Q. | - | - | 4% | 19% | 36% | 31% | 9% |
| 3 | NAZLYMOV Tatiana F. | - | - | 1% | 12% | 33% | 39% | 15% |
| 3 | SHOMAN Jenna | - | - | - | 1% | 8% | 35% | 56% |
| 5 | GORMAN Victoria M. | 1% | 11% | 30% | 36% | 19% | 3% | |
| 5 | SCALAMONI-GOLDSTEIN Charlotte S. | - | 5% | 26% | 41% | 24% | 5% | |
| 7 | TAO Hannah J. | - | 1% | 5% | 23% | 42% | 29% | |
| 8 | WILSON Isley N. | - | - | 3% | 16% | 36% | 33% | 11% |
| 9 | HULSEBURG Kaitlyn | - | - | - | 2% | 15% | 49% | 34% |
| 10 | CARVALHO Isabela A. | - | 1% | 5% | 18% | 33% | 31% | 12% |
| 11 | RIZKALA Joanna | - | - | 2% | 15% | 39% | 37% | 8% |
| 12 | PAK Kaitlyn | - | - | 3% | 17% | 42% | 33% | 6% |
| 13 | YANG Ashley M. | - | - | 5% | 23% | 43% | 29% | |
| 14 | BOIS Adele | - | 5% | 21% | 37% | 28% | 9% | 1% |
| 15 | LUKASHENKO Angelina | - | - | 4% | 17% | 37% | 32% | 10% |
| 16 | KRYLOVA Valery | - | 3% | 16% | 38% | 33% | 9% | 1% |
| 17 | ATLURI Sara V. | - | 2% | 13% | 34% | 37% | 14% | |
| 18 | LEVITIS Danielle | - | 1% | 8% | 25% | 39% | 24% | 3% |
| 19 | BALAKUMARAN Maya | 4% | 21% | 37% | 27% | 9% | 1% | - |
| 20 | FERRARI-BRIDGERS Marinella O. | - | 6% | 25% | 38% | 24% | 5% | |
| 21 | PRIEUR Lauren | 7% | 28% | 37% | 22% | 6% | - | |
| 22 | CHIOLDI Mina | - | 2% | 12% | 33% | 38% | 15% | |
| 23 | MAREK Sofia | 1% | 7% | 21% | 33% | 27% | 11% | 2% |
| 24 | SINHA Anika | - | - | 1% | 10% | 34% | 41% | 14% |
| 25 | ALCEBAR Kayla | 3% | 15% | 31% | 30% | 16% | 4% | - |
| 26 | NEWELL Alexia C. | 2% | 15% | 35% | 34% | 13% | 1% | |
| 27 | SHOMAN Miriam | - | 2% | 17% | 39% | 33% | 9% | |
| 28 | LIAO Siwen | 12% | 35% | 35% | 15% | 3% | - | |
| 29 | MU Vicki Y. | 21% | 58% | 19% | 2% | - | - | |
| 30 | LIN Angela | 1% | 11% | 31% | 37% | 16% | 3% | - |
| 31 | MIKA Veronica | - | 2% | 12% | 36% | 37% | 13% | |
| 32 | WEI Vivian W. | 14% | 34% | 32% | 15% | 4% | - | - |
| 33 | SUBRAMANIAN Nitika | - | 1% | 7% | 26% | 40% | 22% | 4% |
| 34 | BAKER Audrey C. | - | 4% | 19% | 37% | 31% | 9% | |
| 35 | YUAN Greta | 2% | 12% | 31% | 35% | 18% | 3% | |
| 36 | GRINBERG Aliya | - | 3% | 22% | 40% | 27% | 7% | 1% |
| 37 | DANK Dina | - | 5% | 20% | 35% | 28% | 10% | 1% |
| 38 | SADOVA Olga | - | 4% | 20% | 37% | 29% | 9% | 1% |
| 39 | YU Melinda | - | - | 1% | 9% | 29% | 41% | 19% |
| 40 | BEVACQUA Aria F. | - | 6% | 23% | 38% | 25% | 7% | 1% |
| 41 | STONE Hava S. | - | 3% | 16% | 35% | 34% | 12% | |
| 42 | HILD Nisha | 1% | 8% | 26% | 37% | 23% | 5% | |
| 43 | SLOBODSKY Sasha L. | 3% | 22% | 46% | 24% | 5% | - | - |
| 44 | LI Amanda C. | - | 1% | 6% | 20% | 34% | 30% | 10% |
| 45 | JIN Olivia P. | 4% | 18% | 34% | 29% | 12% | 2% | - |
| 46 | NATHANSON Samantha E. | - | - | - | 2% | 14% | 40% | 43% |
| 47 | KIM Marley I. | - | - | 5% | 23% | 40% | 26% | 6% |
| 48 | CHIANG Emily | - | 1% | 8% | 29% | 39% | 19% | 3% |
| 49 | ZHOU Jacquelyn K. | 1% | 8% | 24% | 33% | 24% | 8% | 1% |
| 50 | LEE Sophia | - | 5% | 24% | 39% | 26% | 6% | |
| 51 | CHEN Xinyan | - | 6% | 26% | 39% | 24% | 5% | |
| 52 | NG Sarah W. | 1% | 10% | 28% | 36% | 21% | 4% | |
| 53 | SU Emma | 8% | 32% | 40% | 17% | 3% | - | |
| 54 | PROCACCINI Ashten V. | - | 1% | 14% | 36% | 36% | 12% | |
| 55 | ENGELMAN Madeline A. | - | - | 3% | 16% | 40% | 41% | |
| 56 | PAUL Lila | - | 2% | 12% | 33% | 38% | 15% | |
| 57 | NEIBART Fiona | 1% | 15% | 34% | 33% | 15% | 3% | - |
| 58 | ROMAGNOLI Isabella | - | - | 1% | 8% | 27% | 41% | 23% |
| 59 | SOURIMTO Valeria | - | 1% | 9% | 33% | 39% | 16% | 2% |
| 60 | GRAFF Sophie | - | - | 1% | 6% | 27% | 46% | 20% |
| 61 | PASHIN Anna | 1% | 9% | 23% | 32% | 24% | 9% | 1% |
| 62 | FU Linqian (Helen) | 4% | 22% | 40% | 27% | 7% | 1% | |
| 63 | SIMONIAN Olivia A. | 15% | 36% | 32% | 14% | 3% | - | |
| 64 | XIKES Katherine E. | 6% | 24% | 36% | 25% | 8% | 1% | |
| 65 | OBRADOVIC Ana | - | - | 2% | 10% | 29% | 40% | 20% |
| 66 | ADEBANKE Niara | - | - | 7% | 30% | 43% | 20% | |
| 67 | JENKINS Scotland | 9% | 30% | 36% | 19% | 5% | - | |
| 68 | KOTSEN Ava L. | 23% | 42% | 27% | 7% | 1% | - | |
| 69 | REN Xinling | 3% | 18% | 36% | 29% | 11% | 2% | - |
| 70 | JAVERI Amaya | 7% | 30% | 37% | 20% | 5% | 1% | - |
| 71 | MANSPERGER Leena | 5% | 21% | 33% | 27% | 11% | 2% | - |
| 72 | LIN Selena | 37% | 43% | 17% | 3% | - | - | - |
| 73 | LU Amy | 17% | 47% | 30% | 5% | - | - | |
| 74 | LEE Hannah | 29% | 43% | 22% | 5% | 1% | - | |
| 75 | WANG Jianning | 3% | 21% | 41% | 28% | 8% | 1% | - |
| 76 | MADA Skye | 41% | 44% | 13% | 2% | - | - | - |
| 77 | MARYASH Samantha | 31% | 42% | 21% | 5% | 1% | - | - |
| 78 | LEUNG Emma | 13% | 36% | 35% | 14% | 2% | - | - |
| 79 | MEYTIN Sophia E. | 51% | 39% | 9% | 1% | - | - | - |
| 79 | WANG Audrey | 9% | 34% | 40% | 14% | 2% | - | - |
| 81 | MCKEE Ainsley | 13% | 37% | 35% | 14% | 2% | - | - |
| 82 | LITVAK-HINENZON Michaela | 48% | 40% | 11% | 1% | - | - | - |
| 83 | MANGAN Lillian Marsh | 10% | 36% | 37% | 15% | 2% | - | - |
| 84 | NAYAK Anika | 15% | 49% | 30% | 6% | - | - | - |
| 85 | BERNSTEIN Aiden S. | 11% | 34% | 36% | 16% | 3% | - | - |
| 86 | SHINCHUK Ellisha | 32% | 48% | 18% | 3% | - | - | |
| 87 | SULLIVAN Caroline | 12% | 34% | 35% | 16% | 3% | - | |
| 88 | YAN Ava | 13% | 35% | 34% | 15% | 3% | - | - |
| 89 | ZHIZHIN Jeanette | 57% | 36% | 7% | - | - | - | |
| 89 | DAVIS Jordan | 30% | 43% | 22% | 5% | - | - | |
| 91 | NAYAK Esha | 26% | 45% | 24% | 5% | - | - | - |
| 92 | SODANO Kylie | 9% | 34% | 40% | 16% | 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.