Charlotte, NC - Charlotte, NC, 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 | ANGLADE Alexis C. | - | - | - | 2% | 14% | 41% | 42% |
| 2 | TARTAKOVSKY Elizabeth | - | - | - | 2% | 13% | 41% | 44% |
| 3 | FOX-GITOMER Chloe N. | - | - | - | - | 2% | 24% | 74% |
| 3 | JENKINS Ryan J. | - | - | - | 3% | 16% | 41% | 40% |
| 5 | HOFFMAN Ilsa L. | - | - | 2% | 13% | 33% | 38% | 13% |
| 6 | SKARBONKIEWICZ Magda | - | - | - | 3% | 16% | 42% | 40% |
| 7 | KONG Vera | - | - | 3% | 13% | 30% | 36% | 17% |
| 8 | DI PERNA Chiara I. | - | - | - | 1% | 10% | 40% | 49% |
| 9 | KIM Zoe | - | - | 1% | 9% | 27% | 40% | 22% |
| 10 | GOUHIN Chloe | - | - | - | 3% | 17% | 41% | 38% |
| 11 | HARRISON Imogen N. | - | - | 2% | 13% | 33% | 37% | 14% |
| 12 | PAK Kaitlyn | - | 1% | 10% | 28% | 36% | 21% | 4% |
| 13 | LINDER Kara E. | - | - | - | 3% | 15% | 40% | 42% |
| 14 | GREENBAUM Atara R. | - | 1% | 7% | 23% | 35% | 26% | 7% |
| 15 | PARKER Abigale B. | - | 2% | 9% | 26% | 36% | 22% | 4% |
| 16 | THEODORE Maria A. | - | - | 1% | 6% | 24% | 43% | 26% |
| 17 | MOYA Keona L. | - | - | 3% | 13% | 32% | 37% | 15% |
| 18 | JOHNSON Honor B. | - | - | - | - | 3% | 26% | 71% |
| 19 | SECK Chejsa-Kaili F. | - | 1% | 5% | 19% | 38% | 32% | 5% |
| 20 | LIANG Megan | - | - | 1% | 7% | 24% | 42% | 27% |
| 21 | SHEALY Maggie | - | - | 3% | 15% | 37% | 35% | 10% |
| 22 | TANG Annie L. | - | 1% | 9% | 27% | 36% | 21% | 4% |
| 23 | HARRILL Gillian N. | - | 1% | 5% | 22% | 43% | 30% | |
| 24 | SWALLOW Abigail R. | 16% | 38% | 32% | 12% | 2% | - | |
| 25 | CHIN Erika J. | - | 1% | 6% | 19% | 34% | 30% | 10% |
| 26 | MARSEE Samantha | 3% | 20% | 38% | 28% | 9% | 1% | - |
| 27 | FOUR-GARCIA Madison | - | - | 2% | 13% | 34% | 39% | 12% |
| 28 | SHEA Erin | - | 4% | 18% | 33% | 30% | 13% | 2% |
| 29 | CHAN Casey | - | - | 1% | 8% | 30% | 46% | 16% |
| 29 | KUDRIAVTSEVA Daria | - | - | 4% | 19% | 39% | 31% | 8% |
| 31 | LEE Alexandra B. | - | - | 2% | 11% | 29% | 38% | 19% |
| 32 | HANADARI-LEVY Amit | - | 3% | 15% | 32% | 33% | 15% | 2% |
| 33 | KOVACS Sophia | - | 1% | 8% | 24% | 37% | 25% | 5% |
| 34 | JOHNSON Edith (Tori) V. | - | - | - | 4% | 20% | 43% | 33% |
| 35 | GUTHIKONDA Nithya | - | - | 3% | 15% | 35% | 35% | 11% |
| 36 | WILLIAMS Chloe C. | - | 3% | 16% | 35% | 34% | 11% | |
| 37 | YUN Joy | - | - | 2% | 11% | 30% | 38% | 18% |
| 38 | MILLER Sky | - | - | - | 3% | 16% | 41% | 39% |
| 39 | WEBER Juliana I. | 1% | 8% | 25% | 35% | 23% | 7% | 1% |
| 40 | TZOU Alexandra | - | 2% | 13% | 32% | 35% | 16% | 2% |
| 41 | KOO Samantha | 6% | 23% | 34% | 25% | 9% | 2% | - |
| 42 | LU Vivian Y. | - | 3% | 15% | 36% | 35% | 11% | |
| 43 | STRZALKOWSKI Aleksandra (Ola) M. | - | - | 1% | 8% | 26% | 41% | 24% |
| 44 | FLOREZ Melissa | 2% | 13% | 31% | 34% | 17% | 4% | - |
| 45 | SATHYANATH Kailing | 3% | 17% | 32% | 30% | 14% | 3% | - |
| 46 | TIMOFEYEV Daniella | - | - | 1% | 7% | 24% | 41% | 26% |
| 47 | WEINBERG Alexandra L. | - | 1% | 7% | 23% | 37% | 26% | 6% |
| 48 | POSSICK Lola P. | - | - | 4% | 17% | 36% | 33% | 11% |
| 49 | ANDRES Katherine A. | - | 6% | 24% | 37% | 25% | 7% | 1% |
| 50 | TONG Kunling | - | 2% | 13% | 31% | 35% | 17% | 2% |
| 51 | VAN ATTA Grace Y. | 11% | 33% | 35% | 17% | 3% | - | |
| 52 | GORMAN Alexandra C. | - | 1% | 7% | 22% | 35% | 27% | 8% |
| 53 | OISHI Megumi | - | 1% | 7% | 24% | 37% | 25% | 6% |
| 54 | CHANG Josephine S. | - | 5% | 22% | 37% | 27% | 8% | 1% |
| 55 | NAZLYMOV Tatiana F. | - | 4% | 17% | 34% | 31% | 12% | 2% |
| 56 | KUZNETSOVA Nastassja | 2% | 14% | 32% | 34% | 16% | 2% | - |
| 57 | HE Charlotte | 1% | 9% | 30% | 36% | 19% | 4% | - |
| 58 | WHANG Rebecca | - | 1% | 8% | 23% | 35% | 25% | 7% |
| 59 | ROH Rachel E. | - | 5% | 22% | 38% | 28% | 7% | 1% |
| 60 | LACSON Sarah | 1% | 6% | 21% | 36% | 27% | 9% | 1% |
| 61 | ATLURI Sara V. | - | 8% | 28% | 36% | 21% | 6% | - |
| 62 | SHOMAN Jenna | 1% | 6% | 23% | 38% | 26% | 6% | |
| 63 | HIRSCH Sydney R. | - | 1% | 5% | 22% | 42% | 30% | |
| 64 | KALINICHENKO Alexandra (Sasha) | 8% | 37% | 36% | 15% | 3% | - | - |
| 65 | BOIS Adele | 1% | 6% | 22% | 36% | 26% | 9% | 1% |
| 66 | WILLIAMS Jadeyn E. | - | - | 1% | 5% | 22% | 42% | 30% |
| 67 | HOOGENDOORN Sterre | 1% | 6% | 21% | 35% | 27% | 10% | 1% |
| 68 | TIMOFEYEV Nicole | - | 1% | 7% | 23% | 37% | 25% | 6% |
| 69 | WIGGERS Susan Q. | 1% | 8% | 25% | 34% | 23% | 8% | 1% |
| 70 | GREENBAUM Ella K. | - | 2% | 14% | 34% | 34% | 14% | 2% |
| 71 | TUCKER Iman R. | 3% | 15% | 31% | 31% | 16% | 4% | - |
| 72 | CHING Sapphira S. | 2% | 12% | 29% | 33% | 19% | 5% | 1% |
| 73 | CHANG Emily | 3% | 18% | 36% | 30% | 11% | 2% | - |
| 74 | KALRA Himani V. | 1% | 16% | 37% | 32% | 12% | 1% | - |
| 75 | CAO Stephanie X. | - | 3% | 14% | 31% | 34% | 16% | 3% |
| 76 | GORMAN Victoria M. | 5% | 26% | 38% | 23% | 7% | 1% | - |
| 77 | LIN Audrey J. | 2% | 14% | 33% | 33% | 15% | 3% | - |
| 78 | JULIEN Michelle | 3% | 15% | 32% | 32% | 15% | 3% | - |
| 79 | GORMLEY Arwen E. | 2% | 13% | 31% | 33% | 17% | 3% | - |
| 80 | MIKA Veronica | 2% | 11% | 27% | 33% | 20% | 6% | 1% |
| 81 | CHAN Audrey | 1% | 10% | 30% | 37% | 18% | 4% | - |
| 82 | BHATTACHARJEE Rhea | 5% | 27% | 39% | 23% | 6% | 1% | - |
| 83 | BERMAN Stella | 2% | 14% | 32% | 34% | 16% | 3% | |
| 84 | BLUM Leah I. | - | 2% | 12% | 29% | 34% | 18% | 3% |
| 85 | SULLIVAN Siobhan R. | - | - | 3% | 17% | 37% | 33% | 9% |
| 86 | KOBOZEVA Tamara V. | 5% | 20% | 34% | 28% | 11% | 2% | - |
| 87 | PINCUS Lucy Y. | 3% | 17% | 34% | 31% | 13% | 3% | - |
| 87 | DOHERTY Maverick L. | - | - | 4% | 16% | 34% | 34% | 12% |
| 89 | YUN Maya | 3% | 22% | 38% | 27% | 8% | 1% | - |
| 90 | KATZ Anat | 1% | 9% | 29% | 37% | 20% | 4% | - |
| 91 | NEIBART Fiona | 8% | 29% | 36% | 21% | 6% | 1% | - |
| 92 | LI Victoria J. | 3% | 19% | 36% | 29% | 11% | 2% | - |
| 93 | TURNER Zoe Y. | - | 1% | 7% | 22% | 37% | 28% | 6% |
| 94 | TAO Hannah J. | 1% | 9% | 27% | 34% | 21% | 6% | 1% |
| 95 | STONE Hava S. | 1% | 11% | 29% | 34% | 19% | 5% | 1% |
| 96 | DODRILL Brooke | 23% | 43% | 26% | 7% | 1% | - | - |
| 97 | VALADEZ Emily T. | 4% | 21% | 36% | 27% | 10% | 2% | - |
| 98 | HAN Jeanette X. | 2% | 13% | 31% | 33% | 17% | 3% | - |
| 99 | WALTER Zsofia R. | 2% | 13% | 30% | 33% | 17% | 4% | - |
| 99 | HOOGENDOORN Levi | 3% | 16% | 33% | 31% | 14% | 2% | - |
| 101 | LU Amy | 9% | 32% | 37% | 17% | 4% | - | - |
| 102 | CHEN Xinyan | 8% | 27% | 36% | 23% | 7% | 1% | - |
| 103 | SCALAMONI-GOLDSTEIN Charlotte S. | 3% | 15% | 32% | 31% | 15% | 3% | - |
| 104 | SCHMITT Alana P. | 3% | 16% | 33% | 32% | 14% | 2% | - |
| 105 | HONE Katarina G. | - | 3% | 16% | 35% | 33% | 12% | 1% |
| 106 | SHAY-TANNAS Zoe | 7% | 26% | 36% | 23% | 7% | 1% | - |
| 107 | KIM Catherine | - | 3% | 15% | 34% | 34% | 13% | 2% |
| 108 | PRIESTLEY Catherine (Cate) C. | - | 6% | 23% | 37% | 26% | 8% | 1% |
| 109 | ZEGERS Anneke E. | - | - | 2% | 12% | 33% | 40% | 12% |
| 110 | MORALES Jessica Y. | - | - | 2% | 12% | 35% | 43% | 8% |
| 111 | TANG Catherine H. | 1% | 9% | 26% | 35% | 22% | 6% | 1% |
| 111 | LIAO Siwen | 26% | 42% | 25% | 7% | 1% | - | - |
| 113 | LU Yi Lin | 7% | 25% | 36% | 24% | 7% | 1% | - |
| 114 | WITEK Sophie B. | - | 4% | 15% | 31% | 31% | 16% | 3% |
| 115 | CARVALHO Isabela A. | - | 2% | 11% | 29% | 36% | 19% | 3% |
| 116 | RHIE Lena | 23% | 43% | 26% | 7% | 1% | - | - |
| 117 | ZIELINSKI Isabella G. | 1% | 18% | 37% | 30% | 11% | 2% | - |
| 118 | OLSEN Natalie J. | 2% | 12% | 29% | 33% | 18% | 5% | - |
| 119 | BROWN Emma | 1% | 9% | 27% | 36% | 22% | 6% | - |
| 120 | BUCHMANN Vivien | 1% | 6% | 23% | 36% | 26% | 7% | 1% |
| 121 | BAE EMMELINE | 9% | 28% | 36% | 21% | 6% | 1% | - |
| 122 | HILADO Sarah | 1% | 8% | 27% | 37% | 22% | 5% | - |
| 123 | ANDRES Charmaine G. | 13% | 33% | 33% | 16% | 4% | 1% | - |
| 124 | EDGINGTON Grace | 1% | 9% | 26% | 34% | 22% | 6% | 1% |
| 125 | REDDY Shreya | 7% | 27% | 37% | 22% | 6% | 1% | |
| 126 | PINCUS Emma Y. | 14% | 36% | 33% | 14% | 2% | - | |
| 127 | WU Erica L. | 8% | 30% | 38% | 20% | 4% | - | |
| 128 | DHAR Aamina | 40% | 41% | 16% | 3% | - | - | - |
| 129 | MENKE Kavya I. | 6% | 30% | 39% | 20% | 5% | 1% | - |
| 130 | BENOIT Adelaide L. | 6% | 27% | 37% | 22% | 6% | 1% | - |
| 130 | HOVERMAN Hannah A. | 21% | 39% | 28% | 10% | 2% | - | - |
| 132 | FREEDMAN Janna N. | - | 2% | 10% | 26% | 34% | 22% | 5% |
| 133 | YURT Leyla | 9% | 32% | 38% | 18% | 4% | - | - |
| 133 | BOURGEOIS audreane | 27% | 41% | 24% | 7% | 1% | - | - |
| 135 | DANAHY Ellen D. | 6% | 25% | 36% | 24% | 8% | 1% | - |
| 136 | MANUBAG Amanda R. | 9% | 29% | 35% | 21% | 6% | 1% | - |
| 137 | MATAIEV Natalie S. | 9% | 32% | 36% | 18% | 4% | - | - |
| 138 | CHIANG Emily | 28% | 40% | 24% | 7% | 1% | - | - |
| 139 | TURNOF Kayla M. | 8% | 27% | 35% | 22% | 7% | 1% | - |
| 140 | ROBINSON Stella | 32% | 42% | 21% | 5% | 1% | - | - |
| 141 | DARINGA Arianna | 9% | 34% | 37% | 17% | 3% | - | - |
| 142 | SHIN Andrea Y. | 3% | 19% | 35% | 29% | 11% | 2% | - |
| 143 | NYSTROM Sofia C. | 18% | 38% | 30% | 12% | 2% | - | - |
| 144 | YANG Kaitlyn H. | 11% | 32% | 35% | 18% | 4% | 1% | - |
| 145 | DELSOIN Chelsea C. | 1% | 11% | 31% | 35% | 18% | 4% | - |
| 145 | NG Sarah W. | 56% | 35% | 8% | 1% | - | - | - |
| 145 | SHOMAN Miriam | 6% | 26% | 37% | 23% | 7% | 1% | - |
| 148 | SCHIKORE Anna M. | 66% | 29% | 5% | - | - | - | - |
| 149 | CANSECO Laura K. | 17% | 39% | 32% | 11% | 2% | - | |
| 150 | CHEN Chloe Y. | 14% | 35% | 33% | 14% | 3% | - | - |
| 151 | ABOUDAHER Janna A. | 12% | 33% | 34% | 17% | 4% | - | - |
| 152 | LIU Rachel | 3% | 15% | 31% | 31% | 16% | 4% | - |
| 152 | BILILIES Sophia | 46% | 39% | 12% | 2% | - | - | - |
| 154 | RODGERS Sally E. | 31% | 43% | 21% | 4% | - | - | - |
| 155 | HAYES Grace Y. | 38% | 42% | 17% | 3% | - | - | - |
| 156 | SHI Cathleen | 39% | 41% | 16% | 3% | - | - | - |
| 157 | BOLTON Eleksi M. | 63% | 31% | 6% | - | - | - | - |
| 157 | MERCHANT MeiLiu | 81% | 18% | 2% | - | - | - | - |
| 159 | SOUANE Oumy | 33% | 43% | 19% | 4% | - | - | - |
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.