San Jose McEnery Convention Center - San Jose, CA, 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 | CHAMBERLAIN Maia C. | - | - | - | - | 4% | 31% | 65% |
| 2 | SHOMAN Jenna | - | - | - | 1% | 7% | 34% | 58% |
| 3 | BURKE Nora S. | - | - | - | - | 1% | 14% | 85% |
| 3 | NAZLYMOV Tatiana F. | - | - | - | 1% | 11% | 40% | 48% |
| 5 | KONG Vera | - | - | 3% | 17% | 41% | 38% | |
| 6 | SKARBONKIEWICZ Magda | - | - | - | - | 3% | 25% | 71% |
| 7 | LEE Alexandra B. | - | - | - | 4% | 19% | 42% | 35% |
| 8 | LU Vivian Y. | - | - | - | 1% | 7% | 33% | 60% |
| 9 | WILLIAMS Chloe C. | - | - | 3% | 13% | 33% | 38% | 13% |
| 10 | OISHI Megumi | - | - | 3% | 19% | 45% | 33% | |
| 11 | MELNYCHUK Yelyzaveta | - | 3% | 13% | 33% | 37% | 14% | |
| 12 | TARTAKOVSKY Elizabeth | - | - | - | - | 3% | 23% | 75% |
| 12 | DELSOIN Chelsea C. | - | - | 2% | 9% | 28% | 40% | 21% |
| 14 | TONG Kunling | - | - | 2% | 11% | 34% | 41% | 12% |
| 15 | GREENBAUM Atara R. | - | - | - | 1% | 11% | 39% | 49% |
| 16 | JUNG Irene | 1% | 7% | 25% | 38% | 24% | 5% | |
| 17 | MIKA Veronica | - | 1% | 7% | 24% | 39% | 26% | 3% |
| 18 | POSSICK Lola P. | - | - | 1% | 6% | 23% | 42% | 28% |
| 19 | SULLIVAN Siobhan R. | - | - | - | - | 3% | 27% | 69% |
| 20 | ERIKSON Kira R. | - | - | 3% | 16% | 38% | 37% | 6% |
| 21 | CHIN Sophia J. | - | 2% | 11% | 30% | 37% | 18% | 3% |
| 22 | HAMBAZAZA Liisa | 17% | 38% | 31% | 12% | 2% | < 1% | - |
| 23 | KIM Zoe | - | - | - | 1% | 12% | 40% | 47% |
| 24 | KRASTEV Minna | - | 1% | 8% | 27% | 40% | 21% | 3% |
| 25 | FREEDMAN Janna N. | - | 1% | 8% | 27% | 41% | 23% | |
| 26 | HILD Nisha | - | 3% | 18% | 41% | 30% | 7% | |
| 27 | MOZHAEVA MARIA | 1% | 7% | 26% | 38% | 23% | 5% | |
| 28 | PRIEUR Lauren | 4% | 21% | 38% | 28% | 9% | 1% | - |
| 29 | SAYLES Nina R. | - | 1% | 6% | 22% | 37% | 27% | 7% |
| 30 | LEE Hannah | - | 3% | 14% | 32% | 34% | 16% | 3% |
| 31 | KER Grace | 1% | 6% | 24% | 38% | 26% | 6% | |
| 32 | YUCEL Emine I. | - | 2% | 11% | 31% | 38% | 17% | |
| 33 | FOX-GITOMER Chloe N. | - | - | - | - | 3% | 25% | 71% |
| 34 | CALLAHAN Chase J. | - | 5% | 20% | 38% | 29% | 7% | < 1% |
| 35 | STRZALKOWSKI Aleksandra (Ola) M. | - | - | 3% | 19% | 44% | 34% | |
| 36 | LIU Sophie | - | 1% | 5% | 20% | 36% | 29% | 9% |
| 37 | ANDRES Charmaine G. | - | 1% | 8% | 26% | 40% | 23% | 2% |
| 38 | FEARNS Zara A. | - | 4% | 17% | 33% | 31% | 13% | 2% |
| 39 | HWANG Gabriela M. | - | 3% | 17% | 36% | 33% | 11% | |
| 40 | CHANG Josephine S. | - | 3% | 17% | 41% | 31% | 7% | |
| 41 | YANG Lea | 18% | 41% | 30% | 9% | 1% | - | |
| 42 | HUAI Delilah | 3% | 19% | 36% | 30% | 11% | 2% | - |
| 43 | CHEN Xiaohan | - | 1% | 5% | 22% | 40% | 28% | 3% |
| 44 | ENGELMAN-SANZ Madeline A. | - | 3% | 13% | 30% | 33% | 17% | 3% |
| 44 | NGUYEN Siena | 5% | 23% | 38% | 26% | 7% | 1% | - |
| 46 | DUCKETT Madison | - | 3% | 14% | 31% | 33% | 16% | 3% |
| 47 | TSE Angelina | 1% | 8% | 27% | 38% | 22% | 4% | - |
| 47 | SO Catelyn | 3% | 18% | 35% | 30% | 12% | 2% | - |
| 49 | TSUI Natalie | 2% | 12% | 31% | 34% | 17% | 3% | - |
| 50 | BLUM Leah I. | - | 3% | 16% | 38% | 35% | 8% | |
| 51 | WILLIAMS Jadeyn E. | - | - | - | 2% | 15% | 43% | 39% |
| 52 | SHEARER Natalie E. | - | 1% | 8% | 25% | 39% | 25% | 2% |
| 53 | VADASZ Ibla P. | - | 3% | 14% | 33% | 35% | 14% | 1% |
| 54 | GOUHIN Chloe | - | - | 1% | 8% | 26% | 40% | 24% |
| 55 | GUZMAN Mariana M. | - | 2% | 10% | 28% | 38% | 20% | 3% |
| 56 | VESTEL Mira B. | - | 1% | 9% | 26% | 38% | 23% | 3% |
| 56 | LAURI Keira | 18% | 42% | 29% | 9% | 1% | - | - |
| 56 | GAUTAM Sahana | 9% | 31% | 36% | 19% | 5% | - | - |
| 59 | FESTA Carina | 1% | 7% | 24% | 36% | 25% | 7% | - |
| 60 | LACSON Sarah | - | 2% | 14% | 33% | 34% | 15% | 2% |
| 61 | WU Helen | 11% | 36% | 35% | 15% | 3% | - | |
| 62 | ZHANG XUANYI | 5% | 29% | 42% | 20% | 4% | - | |
| 63 | MCKEE Brynnley | 1% | 11% | 30% | 35% | 18% | 4% | - |
| 64 | KHAN Alissa | 2% | 11% | 30% | 36% | 19% | 4% | - |
| 65 | SHEALY Maggie | - | 1% | 6% | 24% | 42% | 27% | |
| 66 | YANG Angelina LeLe | - | 2% | 12% | 32% | 37% | 16% | 1% |
| 66 | DANTULURI Shalini | 28% | 46% | 21% | 4% | - | < 1% | - |
| 68 | NATH Trisha | - | 3% | 16% | 34% | 33% | 12% | 1% |
| 69 | ANTHONY Alexia B. | 1% | 5% | 20% | 35% | 29% | 10% | 1% |
| 70 | FANG Victoria W. | 8% | 29% | 36% | 21% | 6% | 1% | - |
| 71 | PAUL Lila | 1% | 12% | 33% | 37% | 15% | 2% | |
| 72 | BROWN Emma | 1% | 8% | 25% | 37% | 24% | 5% | |
| 73 | BOIS Adele | - | 1% | 6% | 22% | 39% | 27% | 5% |
| 74 | LEE Sophia | - | 4% | 18% | 36% | 31% | 9% | 1% |
| 75 | SCHAIBLE Sofia L. | 16% | 37% | 32% | 12% | 2% | - | - |
| 76 | CHEN Ashley | - | 2% | 12% | 32% | 36% | 15% | 2% |
| 77 | ATTIA Jasmine | 20% | 39% | 29% | 10% | 2% | - | - |
| 78 | ANDRES Katherine A. | - | - | 5% | 19% | 38% | 32% | 6% |
| 79 | SHI Julia | 7% | 26% | 36% | 23% | 7% | 1% | - |
| 80 | CHIN Erika J. | - | - | 2% | 13% | 35% | 39% | 11% |
| 81 | SHI Cathleen | - | 1% | 9% | 27% | 39% | 22% | 2% |
| 82 | GHAYALOD reya | 1% | 9% | 29% | 37% | 21% | 4% | |
| 83 | MILLER Sky | - | - | 1% | 9% | 37% | 53% | |
| 84 | BUHAY Rachel T. | 4% | 19% | 35% | 29% | 11% | 1% | |
| 85 | HU Michelle | 34% | 43% | 19% | 4% | - | - | |
| 86 | DRAGON Rainer | - | 2% | 10% | 27% | 35% | 21% | 5% |
| 87 | MUND Ruth | 3% | 17% | 34% | 31% | 13% | 2% | - |
| 88 | CHRISTOTHOULOU Olympia C. | 4% | 21% | 37% | 28% | 9% | 1% | - |
| 89 | KIM Marley I. | - | 5% | 19% | 34% | 29% | 11% | 2% |
| 90 | WANG Elysia | 1% | 8% | 28% | 38% | 21% | 4% | - |
| 91 | SCHIMINOVICH Sophia I. | 1% | 7% | 24% | 36% | 25% | 7% | 1% |
| 92 | STAPLETON Lindsay K. | - | 3% | 14% | 34% | 34% | 13% | 1% |
| 92 | ANDREYEVA Darya | - | 1% | 8% | 27% | 40% | 21% | 2% |
| 94 | XI Shining | 1% | 6% | 23% | 37% | 25% | 7% | 1% |
| 95 | SATHYANATH Kailing | - | 3% | 17% | 35% | 32% | 12% | 2% |
| 95 | LU Elaine | - | 5% | 21% | 38% | 28% | 8% | - |
| 97 | MENDIOLA RITCHIE Ingrid | 2% | 13% | 32% | 33% | 16% | 4% | - |
| 98 | DAI Olivia | 10% | 33% | 37% | 16% | 3% | - | - |
| 99 | HUANG MADELINE | 8% | 28% | 37% | 21% | 5% | - | - |
| 100 | MAKLIN Sofia | 3% | 17% | 33% | 31% | 14% | 2% | - |
| 101 | BEVACQUA Aria F. | 2% | 13% | 31% | 35% | 17% | 3% | |
| 102 | JOHNSON Dagny L. | 4% | 24% | 43% | 23% | 5% | - | |
| 103 | MARTURANO Bridget H. | 6% | 25% | 37% | 25% | 7% | 1% | |
| 104 | HAMMERSTROM Aria | 49% | 40% | 10% | 1% | - | - | |
| 105 | TONG Jessie | 20% | 45% | 28% | 6% | 1% | - | |
| 106 | HARRISON Imogen N. | - | 1% | 9% | 33% | 42% | 15% | |
| 106 | MARYASH Samantha | 8% | 34% | 37% | 17% | 4% | - | |
| 108 | XIKES Katherine E. | 10% | 31% | 36% | 19% | 4% | - | |
| 109 | LIU Zhi Jun | 20% | 39% | 29% | 10% | 2% | - | |
| 110 | LIM Jaslene | 2% | 15% | 35% | 32% | 13% | 2% | - |
| 111 | FOUR-GARCIA Madison | - | - | 1% | 10% | 33% | 46% | 11% |
| 112 | GRULICH Rayaana | 27% | 42% | 24% | 6% | 1% | - | - |
| 113 | OLSEN Natalie J. | - | 1% | 5% | 19% | 36% | 30% | 9% |
| 113 | ALFARACHE Gabriella C. | 1% | 10% | 28% | 36% | 20% | 5% | - |
| 113 | BARNOVITZ Maya | 3% | 18% | 35% | 30% | 12% | 2% | - |
| 116 | BUHAY Kirsten M. | 36% | 42% | 18% | 3% | - | - | - |
| 117 | XU Emily T. | 15% | 37% | 33% | 13% | 2% | - | - |
| 117 | XIAO julie | 1% | 7% | 25% | 37% | 23% | 7% | 1% |
| 119 | HE Charlotte | 1% | 11% | 29% | 35% | 19% | 4% | - |
| 120 | COLTER Aurora | 8% | 31% | 36% | 19% | 5% | 1% | - |
| 121 | ZHANG Chenfei | 9% | 30% | 37% | 19% | 4% | - | - |
| 122 | ARNECKE Lauren A. | 10% | 31% | 36% | 19% | 4% | - | - |
| 123 | YAO Rainie | 10% | 34% | 36% | 16% | 3% | - | - |
| 124 | MANKOVA Varvara | 9% | 29% | 35% | 20% | 5% | 1% | - |
| 125 | RAMIREZ Mirka A. | 16% | 41% | 31% | 10% | 2% | - | - |
| 125 | LI Alexis | 10% | 31% | 36% | 18% | 4% | - | - |
| 127 | LO Chloe | 37% | 42% | 17% | 3% | - | - | - |
| 128 | MANN Sophia J. | 19% | 39% | 30% | 10% | 2% | - | - |
| 129 | FEIG Sela | 10% | 40% | 37% | 11% | 1% | - | |
| 130 | FERNANDEZ Martina | 23% | 42% | 27% | 7% | 1% | - | |
| 131 | STONE Hava S. | 2% | 12% | 32% | 35% | 16% | 3% | |
| 132 | LU Amy | 6% | 25% | 37% | 24% | 7% | 1% | |
| 133 | TZOU Alexandra | - | 1% | 8% | 31% | 43% | 17% | |
| 134 | JOHNSON Lydia | 1% | 6% | 22% | 35% | 26% | 8% | 1% |
| 135 | GORMAN Victoria M. | - | 3% | 13% | 31% | 34% | 17% | 3% |
| 136 | JOHNSON Honor | - | < 1% | - | 1% | 6% | 33% | 61% |
| 137 | TUNG Renee | 8% | 29% | 37% | 21% | 5% | - | - |
| 138 | LIU Sydney | 24% | 40% | 26% | 8% | 1% | - | - |
| 139 | YU Holly | 7% | 27% | 38% | 22% | 5% | 1% | - |
| 139 | XIONG Haojiao | 5% | 22% | 36% | 27% | 10% | 2% | - |
| 141 | SENOGLU Irmak | 6% | 25% | 36% | 23% | 7% | 1% | - |
| 142 | GUVEN Coco | 21% | 41% | 28% | 8% | 1% | - | - |
| 143 | LEMUS-IAKOVIDOU ALEXANDRA | 22% | 41% | 28% | 8% | 1% | - | - |
| 144 | CHAVAN Arya | 26% | 43% | 25% | 6% | 1% | - | - |
| 145 | HENRY Soraya S. | 13% | 34% | 34% | 16% | 4% | - | - |
| 145 | CHIANG Melissa | 16% | 38% | 31% | 12% | 2% | - | - |
| 147 | CARLUCCI Laura A. | 17% | 40% | 32% | 11% | 2% | - | - |
| 148 | MEDVINSKY Alexandra | 29% | 46% | 21% | 4% | - | - | - |
| 149 | SOURIMTO Valeria | 4% | 21% | 39% | 28% | 8% | 1% | |
| 150 | LIGH Erenei J. | 12% | 33% | 34% | 17% | 4% | - | |
| 151 | TAN Adelyn | 37% | 44% | 16% | 2% | - | - | |
| 152 | BARBOSA Katia | 22% | 40% | 27% | 9% | 1% | - | - |
| 153 | GLUCK Myriam | 50% | 38% | 10% | 1% | - | - | |
| 153 | GEYER Carolina M. | 7% | 26% | 37% | 24% | 6% | 1% | |
| 155 | WHELAN Brynn M. | 14% | 37% | 34% | 13% | 2% | - | - |
| 155 | BUSH Bethany | 28% | 43% | 23% | 5% | 1% | - | - |
| 155 | WANG Gloria Ruoyan | 14% | 37% | 34% | 13% | 2% | - | - |
| 158 | JEONG Katie | 7% | 28% | 38% | 22% | 6% | 1% | - |
| 158 | KONDEV Elizabeth | 6% | 25% | 37% | 24% | 7% | 1% | - |
| 160 | DEMING Clare L. | 3% | 18% | 35% | 30% | 12% | 2% | - |
| 161 | DONG Angel | 16% | 38% | 32% | 12% | 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.