Milwaukee, WI - 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 | MCLANE Lauren | - | - | 3% | 15% | 34% | 35% | 13% |
| 2 | KIM Diane E. | 1% | 13% | 35% | 34% | 15% | 3% | - |
| 3 | QURESHI Aafreen | - | 2% | 14% | 42% | 34% | 8% | |
| 3 | CHAN Paree A. | - | 2% | 10% | 28% | 36% | 20% | 4% |
| 5 | BELAOUSSOFF Kira | - | 1% | 8% | 23% | 35% | 25% | 7% |
| 6 | ZAFFT Tatiana M. | - | - | 1% | 5% | 22% | 43% | 29% |
| 7 | DROVETSKY Alexandra M. | - | - | 3% | 14% | 33% | 36% | 14% |
| 8 | NGUYEN Kaylin A. | 1% | 5% | 19% | 32% | 29% | 13% | 2% |
| 9 | JOBALIA Ria | - | 4% | 18% | 35% | 31% | 12% | 1% |
| 10 | LONG Cindy | - | 1% | 11% | 33% | 39% | 16% | |
| 11 | SU Nicole | - | 1% | 5% | 19% | 35% | 30% | 9% |
| 12 | BARNES Olivia R. | - | 3% | 13% | 29% | 32% | 18% | 4% |
| 13 | WADE-CURRIE Ava S. | 1% | 6% | 22% | 36% | 28% | 8% | |
| 14 | PARKER Emilie Rose (Rosie) | 1% | 10% | 29% | 36% | 20% | 4% | |
| 15 | ROBERTS Gabrielle W. | - | 2% | 16% | 36% | 33% | 11% | 1% |
| 16 | LEE Michelle | - | 5% | 18% | 35% | 31% | 10% | |
| 17 | YANG Miranda (Yinuo) | - | - | 1% | 8% | 28% | 42% | 21% |
| 18 | XIA Chelsea W. | - | 1% | 10% | 35% | 43% | 11% | |
| 19 | DESJARDINS Rosalie | - | 5% | 18% | 34% | 29% | 12% | 2% |
| 20 | HU Grace | - | 2% | 14% | 35% | 36% | 13% | |
| 21 | MUCSI Angela Lilla | - | 5% | 20% | 36% | 30% | 9% | |
| 22 | LOWENSTEIN Penelope J. | - | 5% | 22% | 37% | 28% | 8% | |
| 23 | YOON Julia J. | 4% | 19% | 35% | 30% | 11% | 1% | |
| 24 | CHIN Isabella | - | 2% | 14% | 34% | 36% | 13% | |
| 25 | ZHANG Rachel | - | 1% | 11% | 35% | 40% | 13% | |
| 26 | LU Shiqi | - | 2% | 10% | 26% | 34% | 22% | 5% |
| 27 | LEE Sumin | - | 1% | 7% | 23% | 36% | 26% | 7% |
| 28 | LEANG Andrea K. | - | - | 2% | 11% | 32% | 38% | 16% |
| 29 | DILAWRI Anika | - | 2% | 10% | 26% | 34% | 22% | 6% |
| 30 | JI Catherine | 1% | 6% | 22% | 35% | 26% | 8% | 1% |
| 31 | CAO Catherine H. | 10% | 32% | 36% | 18% | 4% | - | |
| 32 | KOWALSKY Rachel A. | - | 1% | 5% | 20% | 36% | 30% | 8% |
| 33 | GANDHI Sedna S. | - | - | 2% | 12% | 33% | 38% | 15% |
| 34 | KUZNETSOV Victoria | - | 1% | 8% | 25% | 35% | 24% | 6% |
| 35 | NI Emma | - | - | 3% | 15% | 36% | 35% | 10% |
| 36 | SEMIKIN Julia | 1% | 5% | 18% | 31% | 29% | 13% | 2% |
| 37 | LEE Olive | - | 4% | 16% | 31% | 30% | 15% | 3% |
| 38 | ROBERTSON Lily | - | 2% | 12% | 30% | 35% | 18% | 3% |
| 39 | MORGAN Elizabeth (Ella) R. | - | - | 2% | 10% | 32% | 40% | 16% |
| 40 | LEE kyungmin | 1% | 10% | 29% | 34% | 19% | 5% | - |
| 41 | CHAN Elizabeth | 2% | 11% | 30% | 35% | 19% | 3% | |
| 42 | SOIN Anika A. | - | 2% | 12% | 29% | 35% | 18% | 3% |
| 43 | NING Emma | - | 1% | 7% | 22% | 35% | 27% | 8% |
| 44 | HAN Jaewon(Leah) | 3% | 17% | 33% | 30% | 14% | 3% | - |
| 44 | LEANG Priscilla Y. | - | - | 4% | 18% | 37% | 32% | 9% |
| 46 | YOUNG Ashley | - | 4% | 15% | 31% | 32% | 15% | 3% |
| 47 | LIU Christina A. | 2% | 11% | 28% | 34% | 20% | 5% | |
| 48 | BELSLEY Devon K. | 2% | 14% | 33% | 34% | 15% | 2% | |
| 49 | WILEY Erica | - | 6% | 22% | 36% | 27% | 8% | 1% |
| 50 | SAAL Anna | 1% | 6% | 19% | 32% | 28% | 12% | 2% |
| 51 | ANDERSON Nora E. | 2% | 13% | 29% | 32% | 18% | 5% | - |
| 52 | TIMMONS Sarah J. | 2% | 11% | 27% | 32% | 21% | 7% | 1% |
| 53 | CHIODI Isabella M. | - | 3% | 12% | 27% | 33% | 20% | 5% |
| 54 | ZHOU Lei | 1% | 10% | 28% | 36% | 20% | 5% | - |
| 55 | CHEN Alina | 8% | 28% | 37% | 22% | 5% | - | |
| 56 | TOMASELLO Olivia E. | 1% | 6% | 23% | 37% | 27% | 7% | |
| 57 | ERTAS Eileen | 1% | 11% | 33% | 36% | 16% | 2% | |
| 58 | REID Sobia | - | - | 4% | 16% | 34% | 33% | 12% |
| 59 | SEMMEL Rose F. | 4% | 21% | 34% | 27% | 11% | 2% | - |
| 60 | OH Kaitlin Y. | 10% | 30% | 36% | 19% | 5% | - | - |
| 61 | AHUJA Arianna | 2% | 12% | 29% | 33% | 18% | 5% | - |
| 62 | MARONEY Gianna | 2% | 12% | 29% | 34% | 18% | 5% | - |
| 63 | JANOWSKI Madeline (Madeline Janowski) A. | 11% | 34% | 36% | 16% | 3% | - | - |
| 64 | TOFFELMIRE Amelia A. | 10% | 30% | 35% | 19% | 5% | 1% | - |
| 65 | O'REILLY Aeryn E. | - | 4% | 16% | 32% | 31% | 14% | 2% |
| 66 | CARVALHO Maia D. | - | - | 2% | 16% | 39% | 34% | 9% |
| 67 | EXCONDE Solana M. | 6% | 24% | 36% | 25% | 8% | 1% | |
| 68 | REITINGER Emilie B. | - | 5% | 18% | 32% | 29% | 13% | 2% |
| 69 | LIN Katie Y. | 2% | 14% | 30% | 32% | 17% | 4% | - |
| 70 | PRIMES Amanda M. | 18% | 41% | 31% | 9% | 1% | - | - |
| 70 | DIDONATO Gianina L. | 12% | 35% | 34% | 15% | 3% | - | - |
| 72 | YAO Jillian | 2% | 11% | 26% | 32% | 21% | 7% | 1% |
| 73 | LIN Julia L. | - | - | 3% | 15% | 33% | 35% | 14% |
| 74 | TAYLOR Beth | 3% | 18% | 36% | 31% | 11% | 1% | |
| 75 | KETKAR Mallika | 2% | 14% | 35% | 35% | 13% | 1% | |
| 76 | SCHLIEP Anna J. | 6% | 24% | 36% | 25% | 8% | 1% | |
| 77 | ADVINCULA Anabella E. | - | 1% | 7% | 22% | 35% | 27% | 8% |
| 78 | BECCHINA Olivia | - | 2% | 13% | 31% | 34% | 17% | 3% |
| 79 | DINGMAN Amanda | 3% | 17% | 32% | 30% | 15% | 4% | - |
| 80 | APONTE Monica I. | - | 5% | 19% | 35% | 29% | 11% | 2% |
| 81 | SIBLEY Elisabeth J. | 13% | 36% | 34% | 14% | 3% | - | - |
| 82 | PANDEY Sana | - | 4% | 15% | 30% | 31% | 16% | 3% |
| 83 | EBRAHIM Ameera H. | 3% | 16% | 32% | 31% | 14% | 3% | - |
| 84 | HEINRICH Eva | 10% | 31% | 35% | 19% | 5% | - | |
| 85 | ZHENG Ava | 10% | 33% | 36% | 17% | 4% | - | |
| 86 | MIZZI Keira | 1% | 9% | 28% | 37% | 21% | 4% | |
| 87 | COOPER Tina M. | 1% | 9% | 26% | 36% | 23% | 6% | |
| 88 | BURN Lauren M. | 2% | 13% | 31% | 34% | 17% | 3% | - |
| 89 | BOLES Savvianna | 7% | 26% | 35% | 23% | 8% | 1% | - |
| 90 | WANG anne | 8% | 28% | 35% | 21% | 6% | 1% | - |
| 91 | BECKER Carson E. | 2% | 12% | 28% | 32% | 20% | 6% | 1% |
| 91 | STOJANOVIC Mina | 1% | 13% | 34% | 34% | 15% | 3% | - |
| 93 | MOK Chloe R. | 1% | 9% | 25% | 34% | 23% | 8% | 1% |
| 94 | MUELLER Victoria E. | - | 2% | 14% | 32% | 33% | 16% | 3% |
| 95 | ZHANG Katherine | - | 7% | 27% | 37% | 22% | 6% | - |
| 96 | HAMILTON Nina M. | 6% | 23% | 35% | 25% | 9% | 1% | - |
| 97 | BALAKRISHNAN Monica S. | 1% | 6% | 22% | 36% | 27% | 8% | 1% |
| 98 | GOLDBERG Sophie C. | - | 3% | 12% | 27% | 32% | 20% | 5% |
| 98 | KWON Tiara | 4% | 18% | 33% | 29% | 13% | 3% | - |
| 100 | ZUZULO Tiah C. | 6% | 25% | 36% | 24% | 8% | 1% | - |
| 101 | DU Yiyun (Doreen) | 7% | 27% | 37% | 22% | 6% | 1% | - |
| 102 | WALLACE Madison K. | 4% | 19% | 33% | 29% | 12% | 2% | - |
| 103 | LI Tiffany | 10% | 33% | 38% | 17% | 2% | - | |
| 104 | PHAM Evelyn L. | 7% | 26% | 36% | 23% | 7% | 1% | |
| 105 | WON Jenny | 6% | 24% | 36% | 25% | 8% | 1% | |
| 106 | KIM Elizabeth Y. | 18% | 40% | 30% | 10% | 1% | - | |
| 107 | POPOVICI Astrid I. | 5% | 28% | 40% | 22% | 4% | - | |
| 108 | LIEBER Josephine A. | 12% | 38% | 34% | 13% | 2% | - | |
| 109 | CAPELLUA Mariasole | 12% | 33% | 34% | 17% | 4% | - | - |
| 110 | ROWLAND May | 12% | 33% | 34% | 17% | 4% | - | - |
| 111 | SHUM Jessica | 7% | 25% | 36% | 24% | 7% | 1% | - |
| 112 | LUNSFORD Marlie G. | 9% | 30% | 36% | 20% | 5% | - | - |
| 113 | CZARNY Kathrina | 4% | 20% | 35% | 29% | 11% | 2% | - |
| 114 | NICOU Nicole | 1% | 8% | 24% | 34% | 24% | 8% | 1% |
| 115 | XU GRACE (XIN YI) | 16% | 39% | 33% | 11% | 2% | - | - |
| 116 | WANG Nora | - | 2% | 12% | 31% | 35% | 18% | 3% |
| 117 | RAZA Nadia A. | 10% | 31% | 35% | 18% | 5% | 1% | - |
| 118 | NOBLE Adara | 1% | 7% | 22% | 33% | 26% | 10% | 2% |
| 119 | SCHAFF Marlene M. | 8% | 31% | 38% | 19% | 4% | - | - |
| 120 | GERARDIN Marie | 14% | 38% | 34% | 12% | 1% | - | |
| 121 | ANDERSON Avery | 12% | 33% | 34% | 16% | 4% | - | - |
| 122 | BENKLER Riley M. | 2% | 14% | 32% | 33% | 16% | 3% | |
| 123 | WILKENS Patricia A. | 17% | 41% | 32% | 9% | 1% | - | - |
| 123 | KIM Erika S. | 14% | 36% | 34% | 14% | 2% | - | - |
| 125 | MANDEL Helen (Jenner) | 12% | 39% | 35% | 12% | 2% | - | - |
| 126 | GROCE Linda J. | 13% | 36% | 35% | 14% | 2% | - | |
| 127 | TERRELL Gabriella | 20% | 40% | 28% | 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.