Huntington Convention Center of Cleveland - Cleveland, OH, 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 | HE Anna | - | - | - | 1% | 8% | 36% | 55% |
| 2 | WU Jessica | - | - | - | - | 1% | 18% | 81% |
| 3 | ADYANTHAYA Anika | - | - | - | 2% | 22% | 71% | 4% |
| 3 | OLELE Ifechi | - | - | - | 1% | 11% | 41% | 47% |
| 5 | LEE Eden | - | - | 5% | 24% | 43% | 27% | |
| 6 | WANG Chantal | - | - | 2% | 12% | 31% | 38% | 17% |
| 7 | DHAIYA Tanya | - | - | - | 6% | 32% | 61% | |
| 8 | HALE Reagan | - | 2% | 13% | 34% | 38% | 14% | |
| 9 | DYMAR Anna | - | - | - | 4% | 18% | 42% | 36% |
| 10 | ZHONG Evelyn | - | 1% | 9% | 28% | 41% | 21% | |
| 11 | CHEN Alina | - | - | 1% | 8% | 28% | 41% | 21% |
| 12 | YAN Ximei (Alicia) | - | - | 3% | 12% | 29% | 37% | 19% |
| 13 | YANG Hannah | - | - | 3% | 14% | 34% | 36% | 12% |
| 14 | CHO Jacey | - | 3% | 13% | 28% | 32% | 19% | 4% |
| 15 | XU Amy(Chenyu) | - | - | 1% | 8% | 26% | 41% | 24% |
| 16 | KANE Alexa | - | - | - | 4% | 20% | 43% | 33% |
| 17 | WANG Chloe | - | - | 1% | 8% | 26% | 41% | 24% |
| 18 | WANG Angelina | - | - | - | 4% | 20% | 45% | 31% |
| 19 | FU Shannon | - | - | - | 4% | 17% | 40% | 39% |
| 20 | VIJAY Vaishnavi | - | 1% | 4% | 15% | 32% | 34% | 14% |
| 21 | CHEN Laila | - | 4% | 18% | 34% | 30% | 12% | 2% |
| 22 | XU Aasta | 1% | 9% | 25% | 33% | 23% | 8% | 1% |
| 23 | XIONG Alice | - | 4% | 17% | 33% | 31% | 12% | 2% |
| 24 | WANG Lihong | - | - | - | - | - | 7% | 93% |
| 25 | ARULKUMAR Lashia | - | - | 3% | 17% | 42% | 38% | |
| 26 | JIANG chenxi | - | 2% | 16% | 37% | 34% | 10% | |
| 27 | CHI Zoe | - | - | 3% | 16% | 41% | 40% | |
| 28 | LI Ariel | 10% | 32% | 36% | 18% | 4% | - | |
| 29 | WANG Olivia | - | 4% | 17% | 33% | 30% | 12% | 2% |
| 30 | CHEN Madeline | - | - | 5% | 20% | 37% | 30% | 8% |
| 31 | WANG Nicole | - | 1% | 7% | 28% | 40% | 21% | 3% |
| 32 | YARBILOVA Aya | - | 1% | 5% | 18% | 35% | 31% | 10% |
| 33 | NING Miranda | - | - | - | 3% | 18% | 43% | 36% |
| 34 | HABEK Sophia | - | - | - | 1% | 17% | 82% | |
| 35 | LI Anna | - | 1% | 7% | 26% | 42% | 24% | |
| 36 | KOUAME Candice | 1% | 6% | 21% | 35% | 27% | 10% | 1% |
| 37 | YOUNG Nicole | - | - | 1% | 10% | 36% | 41% | 12% |
| 38 | NGUYEN Renee | - | - | 1% | 8% | 29% | 43% | 20% |
| 39 | CAYETANO Audrey | - | - | 1% | 11% | 33% | 39% | 15% |
| 40 | KAKANI Aditi | - | - | 2% | 11% | 30% | 39% | 18% |
| 40 | ZHANG Ashley | - | 5% | 23% | 38% | 26% | 6% | - |
| 42 | YIP Allison | - | 6% | 25% | 38% | 25% | 6% | |
| 43 | LI Carlie | - | 4% | 21% | 42% | 29% | 4% | |
| 44 | BOBE Arianna | - | 2% | 16% | 43% | 36% | 3% | |
| 45 | WANG Ailly | - | 3% | 17% | 38% | 33% | 8% | |
| 46 | SUN Milly | - | 5% | 20% | 34% | 28% | 11% | 1% |
| 47 | YU Chloe | - | - | 1% | 8% | 29% | 42% | 21% |
| 48 | CHOI Arianna | - | 2% | 13% | 32% | 34% | 16% | 3% |
| 49 | LIN Alexis | - | 2% | 12% | 30% | 35% | 18% | 3% |
| 50 | MAENG Gloria | - | 4% | 19% | 37% | 31% | 8% | 1% |
| 51 | YIN Melody | 6% | 25% | 37% | 24% | 7% | 1% | - |
| 52 | LAW Mila | - | 4% | 18% | 36% | 30% | 10% | 1% |
| 53 | CARCELLER Bernardita (Tini) | - | - | 1% | 5% | 22% | 42% | 30% |
| 54 | MIXON Ivory | 1% | 8% | 23% | 33% | 24% | 9% | 1% |
| 55 | KOU Cynthia | - | - | 3% | 16% | 36% | 34% | 11% |
| 56 | PEKKER Adel | - | - | 3% | 20% | 43% | 28% | 5% |
| 57 | BERESTOVITSKY Eva | 3% | 18% | 35% | 30% | 12% | 2% | - |
| 58 | LI Xier | - | 3% | 17% | 36% | 33% | 11% | |
| 59 | ANDRUS Allie | - | 4% | 19% | 41% | 31% | 5% | |
| 60 | ALLIEVI Simone | - | 8% | 28% | 39% | 21% | 4% | |
| 61 | CHEN Stephanie | - | 4% | 22% | 45% | 27% | 2% | |
| 62 | JU Jennifer | - | 3% | 14% | 29% | 32% | 17% | 4% |
| 63 | LEE Zoe | 9% | 41% | 36% | 12% | 2% | - | |
| 64 | YANG Arianna | 5% | 21% | 35% | 27% | 10% | 2% | - |
| 65 | HAN Emma | - | 3% | 14% | 32% | 34% | 15% | 2% |
| 66 | VARIPILLI Aanya | 1% | 7% | 22% | 33% | 26% | 10% | 1% |
| 67 | YOON Claire | 22% | 41% | 28% | 8% | 1% | - | - |
| 68 | LI Katherine | - | 3% | 21% | 40% | 27% | 8% | 1% |
| 69 | WU Evelyn | 3% | 20% | 39% | 29% | 9% | 1% | - |
| 70 | BURKS Madison | - | 1% | 6% | 20% | 36% | 29% | 9% |
| 71 | GOFMAN Anastasia | - | 2% | 11% | 27% | 33% | 21% | 5% |
| 72 | FURMAN Elizabeth | - | - | 2% | 15% | 37% | 34% | 10% |
| 73 | KIM Abigail | - | 5% | 20% | 35% | 30% | 10% | - |
| 74 | XIE ANDREA | 2% | 12% | 31% | 35% | 17% | 3% | |
| 75 | GU Ella | 15% | 41% | 33% | 10% | 1% | - | |
| 76 | HOWARD Katherine | - | 3% | 15% | 33% | 34% | 14% | 1% |
| 77 | CORDOVA Joscelyn | 4% | 20% | 36% | 28% | 10% | 1% | - |
| 78 | QI Chelsie | - | 4% | 18% | 34% | 30% | 12% | 2% |
| 78 | KIM Vivian | - | - | 3% | 13% | 33% | 37% | 13% |
| 80 | YOUN Emily | 2% | 13% | 35% | 36% | 13% | 1% | - |
| 81 | NG Allie | - | 1% | 8% | 26% | 37% | 23% | 5% |
| 82 | ZENG Joy | 16% | 36% | 32% | 13% | 3% | - | - |
| 83 | LOO Samantha | 1% | 12% | 39% | 35% | 12% | 2% | - |
| 84 | XI Emily | - | 6% | 26% | 38% | 24% | 6% | - |
| 85 | AGARWAL Keya | 6% | 25% | 36% | 24% | 7% | 1% | - |
| 86 | MISHIMA Olivia | 16% | 37% | 32% | 12% | 2% | - | - |
| 87 | XIAO Ashley | 3% | 16% | 31% | 30% | 15% | 4% | - |
| 88 | LI Wan-Tao | - | 5% | 23% | 38% | 26% | 7% | - |
| 89 | CHEN freya | - | - | 2% | 16% | 40% | 34% | 8% |
| 90 | REN Harper | 11% | 30% | 33% | 19% | 6% | 1% | - |
| 91 | WANG Yvonne | - | 3% | 21% | 43% | 26% | 6% | - |
| 91 | HUANG Jui-An | 19% | 37% | 30% | 12% | 3% | - | - |
| 93 | NIKOLLA Vivienne | 5% | 21% | 35% | 27% | 10% | 2% | - |
| 94 | ARNOLD Evangeline | - | 4% | 20% | 39% | 28% | 8% | 1% |
| 95 | GRUDZINSKI Josephine | 16% | 43% | 30% | 9% | 1% | - | - |
| 96 | PEKKER Amina | 1% | 8% | 24% | 35% | 24% | 8% | 1% |
| 97 | ZHANG Audrey A. | - | 4% | 20% | 39% | 30% | 8% | |
| 98 | ROMANOV Mia | 4% | 28% | 40% | 22% | 5% | - | |
| 99 | RAJ Indra | 1% | 13% | 35% | 35% | 14% | 2% | |
| 100 | FAN Joy | 1% | 10% | 28% | 37% | 21% | 4% | |
| 101 | DU Chelsea | 2% | 15% | 36% | 33% | 13% | 2% | |
| 102 | MARKS Madeline | 1% | 11% | 34% | 36% | 16% | 2% | |
| 103 | JIANG Alexandra | 3% | 19% | 38% | 29% | 10% | 1% | |
| 104 | KUO Stella | 9% | 34% | 40% | 15% | 2% | - | |
| 105 | PEI Claire | - | - | 1% | 5% | 21% | 41% | 32% |
| 106 | MOKRETSOV Leah | - | - | 2% | 14% | 36% | 39% | 9% |
| 107 | CHEN Julia Z. | - | 2% | 11% | 28% | 35% | 20% | 4% |
| 108 | HUFF Elizabeth | 2% | 14% | 30% | 32% | 18% | 5% | - |
| 109 | LI Allison | 2% | 11% | 29% | 34% | 19% | 4% | - |
| 110 | RAJPUT Mahek | - | 4% | 16% | 33% | 32% | 13% | 2% |
| 111 | SUN Joanna | 2% | 12% | 30% | 34% | 18% | 4% | - |
| 112 | SIU Mila | 1% | 7% | 21% | 33% | 27% | 10% | 1% |
| 113 | EDGAR Koko | 1% | 12% | 30% | 34% | 18% | 4% | - |
| 114 | CAI Melody | - | 4% | 21% | 41% | 30% | 4% | - |
| 114 | CHEN Reina | 5% | 28% | 41% | 21% | 4% | - | - |
| 116 | DU Chloe | - | - | 3% | 15% | 34% | 36% | 12% |
| 117 | VILLER Alice | 1% | 8% | 23% | 33% | 25% | 9% | 1% |
| 118 | LEE Iona | - | 5% | 20% | 36% | 29% | 9% | - |
| 119 | CHO Josephine | 25% | 45% | 25% | 5% | - | - | |
| 120 | JUBILEE Beata | 5% | 21% | 36% | 28% | 9% | 1% | |
| 121 | MIAO Anthea | 16% | 37% | 32% | 13% | 2% | - | |
| 122 | YOUNG Penelope | 6% | 29% | 41% | 20% | 4% | - | |
| 123 | ZHANG Joy | 5% | 27% | 39% | 23% | 6% | 1% | |
| 124 | SRIKUMAR Nikita | 16% | 37% | 31% | 12% | 2% | - | - |
| 125 | FAN Olivia | 17% | 40% | 31% | 10% | 1% | - | - |
| 126 | TAYLOR Poppy | 10% | 34% | 37% | 16% | 2% | - | - |
| 127 | YAO Astrid | 56% | 36% | 7% | - | - | - | - |
| 128 | MENDIRATTA Olivia | 52% | 38% | 9% | 1% | - | - | |
| 129 | ZHAO Rachel | 9% | 37% | 37% | 14% | 2% | - | |
| 130 | FENG Esther | 1% | 8% | 28% | 39% | 21% | 4% | |
| 131 | SHI Elle | 3% | 19% | 35% | 30% | 12% | 2% | - |
| 132 | SELASSIE Semara | 6% | 33% | 43% | 16% | 2% | - | - |
| 133 | ZHU Danielle Jade | 3% | 16% | 31% | 31% | 15% | 4% | - |
| 134 | TRIVULCE Scarlett | 5% | 20% | 33% | 27% | 12% | 3% | - |
| 134 | NEGRUT Sabina | 43% | 42% | 13% | 2% | - | - | - |
| 136 | LI Elva | 24% | 43% | 26% | 7% | 1% | - | - |
| 137 | BRINDAVAN Vyahriti | 7% | 26% | 36% | 23% | 7% | 1% | - |
| 138 | PATEL Aria | 7% | 26% | 36% | 23% | 7% | 1% | - |
| 139 | XIE Zhiran (Celine) | 16% | 43% | 30% | 9% | 1% | - | - |
| 140 | JERDEE Saige | 8% | 27% | 35% | 22% | 7% | 1% | - |
| 141 | PATEL Agena | 10% | 38% | 37% | 13% | 2% | - | - |
| 142 | LIU Brinley | 1% | 9% | 29% | 36% | 20% | 5% | - |
| 143 | BUZZINI Julia | 12% | 33% | 34% | 16% | 4% | - | - |
| 143 | CHU Brianna | 42% | 41% | 15% | 3% | - | - | - |
| 145 | HUANG Cynthia | 17% | 51% | 26% | 5% | - | - | - |
| 146 | DIAZ Amber | 1% | 6% | 20% | 33% | 28% | 11% | 1% |
| 147 | ZHAO Crystal | 4% | 17% | 32% | 29% | 14% | 4% | - |
| 148 | CHALLAMEL Heloise | 2% | 13% | 30% | 32% | 17% | 4% | - |
| 149 | HE Elsa | 14% | 36% | 33% | 14% | 3% | - | - |
| 150 | REN Ivanka | 6% | 27% | 37% | 22% | 7% | 1% | - |
| 151 | WANG Hailie | 15% | 38% | 32% | 12% | 2% | - | - |
| 152 | KWAK Olivia | 6% | 28% | 39% | 21% | 5% | 1% | - |
| 153 | GURTIN Sasha | 12% | 34% | 34% | 16% | 3% | - | - |
| 154 | YANG Nina | 9% | 28% | 34% | 21% | 7% | 1% | - |
| 155 | WANG Phoebe | 9% | 28% | 34% | 21% | 7% | 1% | - |
| 156 | WANG Jenny wang | 37% | 43% | 17% | 3% | - | - | - |
| 157 | CHUNG Yenna | 13% | 34% | 34% | 16% | 4% | - | - |
| 158 | DOROSHKEVICH Maria | 32% | 44% | 20% | 3% | - | - | |
| 159 | CHONG Emma | 17% | 38% | 31% | 12% | 2% | - | - |
| 159 | MISHIMA Quinn | 8% | 38% | 40% | 13% | 2% | - | - |
| 159 | CHERUKU Vihaani | 43% | 42% | 13% | 2% | - | - | - |
| 159 | WILLIAMS Valentina | 43% | 43% | 13% | 2% | - | - | - |
| 163 | PARKE Jaime | 21% | 44% | 28% | 6% | - | - | |
| 163 | GORDON Winter | 56% | 35% | 8% | 1% | - | - | |
| 165 | YADAGIRI Aditi | 61% | 33% | 6% | - | - | - | |
| 166 | LOUGH Abbie | 57% | 36% | 6% | - | - | - | - |
| 167 | WANG Yuette | 56% | 35% | 8% | 1% | - | - | |
| 168 | DEFENSOR Ella | 31% | 42% | 21% | 5% | 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.