Fort Worth Convention Center - Fort Worth, TX, 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 | HUAI Delilah | - | - | - | - | 2% | 21% | 76% |
| 2 | CHIARELLI Valentina | - | - | - | 3% | 15% | 41% | 41% |
| 3 | ZHANG XUANYI | - | - | - | - | 5% | 31% | 64% |
| 3 | WANG Yixuan | - | - | - | 1% | 8% | 38% | 54% |
| 5 | DJAMIRZE Zara | - | - | - | 1% | 8% | 37% | 54% |
| 6 | JIANG Evelyn | - | - | - | 3% | 18% | 43% | 37% |
| 7 | WANG Callie | - | - | - | 4% | 20% | 44% | 32% |
| 8 | SCHMIDT Isabel | - | - | - | 4% | 18% | 42% | 36% |
| 9 | DHAR Rana | - | - | 2% | 12% | 31% | 37% | 17% |
| 10 | VINOKUR Anita | - | - | 6% | 23% | 38% | 26% | 6% |
| 11 | PANTALEON-MAZOLA Amari | - | - | - | 5% | 21% | 42% | 32% |
| 12 | BROWN Aria | - | 2% | 11% | 31% | 39% | 18% | |
| 13 | WANG Jiayi | - | 2% | 12% | 32% | 38% | 15% | |
| 14 | LIU kai yin aria | - | - | 5% | 22% | 43% | 29% | |
| 15 | MOON Claire | - | 3% | 17% | 36% | 31% | 11% | 1% |
| 16 | JEON Yuju | - | - | - | 1% | 10% | 42% | 47% |
| 17 | LIU Yifei | - | - | - | - | 3% | 25% | 71% |
| 17 | DANTULURI Shalini | - | - | 1% | 5% | 24% | 45% | 25% |
| 19 | HILD Anya | 4% | 21% | 38% | 27% | 8% | 1% | < 1% |
| 20 | KANG Ellie | - | - | - | 4% | 21% | 46% | 29% |
| 21 | GAY Sasha | - | - | 4% | 17% | 35% | 33% | 10% |
| 22 | ZENG Sarah | - | - | - | 4% | 20% | 42% | 33% |
| 22 | CONG Anne | - | - | 1% | 8% | 30% | 43% | 18% |
| 22 | REN Katherine | - | 2% | 10% | 26% | 36% | 22% | 5% |
| 25 | CHAN Jolene | - | - | 1% | 9% | 29% | 40% | 20% |
| 26 | CHAVAN Arya | - | - | 1% | 6% | 23% | 42% | 29% |
| 26 | FAVO Isabella | - | - | - | 5% | 22% | 44% | 29% |
| 28 | KIM Saeren | - | 1% | 8% | 36% | 40% | 14% | 1% |
| 29 | WU Yuwei | - | 1% | 9% | 29% | 37% | 20% | 4% |
| 30 | GUGALA Hanna | - | - | - | 3% | 18% | 44% | 34% |
| 31 | GONZALEZ Veronika | - | 1% | 8% | 28% | 40% | 20% | 2% |
| 32 | GAIKWAD Ashmiee | - | - | 4% | 19% | 40% | 32% | 5% |
| 33 | DAMBAL Sasha | - | - | 2% | 12% | 33% | 40% | 14% |
| 34 | MERCHANT Aishwarya | - | - | 1% | 8% | 30% | 46% | 16% |
| 35 | OCA Merci | - | 1% | 7% | 24% | 36% | 25% | 6% |
| 36 | BERMAN greta | - | 1% | 8% | 26% | 42% | 23% | |
| 36 | XU Yiyun | - | - | - | 3% | 24% | 73% | |
| 38 | MACKAY Katherine | - | - | 1% | 10% | 34% | 43% | 11% |
| 39 | AWAD Royce | - | - | 1% | 9% | 34% | 44% | 12% |
| 40 | SUNG Isabella | - | 7% | 26% | 38% | 23% | 6% | - |
| 40 | KIRBY Skye | 2% | 11% | 28% | 34% | 20% | 5% | - |
| 42 | YOUNG Charlotte G. | - | - | - | 4% | 22% | 46% | 27% |
| 43 | BORGUETA Madison | - | 3% | 15% | 32% | 33% | 15% | 2% |
| 44 | CROOKS Riley | - | - | 3% | 17% | 35% | 33% | 12% |
| 45 | HSU Leah | - | - | 2% | 14% | 41% | 43% | |
| 46 | CHOI Charlotte | - | 3% | 15% | 34% | 35% | 13% | |
| 47 | TA-ZHOU Emma | - | 2% | 12% | 35% | 38% | 13% | |
| 48 | LEI Zitong (Meya) | - | - | 4% | 19% | 36% | 31% | 10% |
| 49 | SINGER Ellery | - | 2% | 12% | 31% | 35% | 17% | 3% |
| 50 | RAGHURAMAN Anishka | - | 1% | 9% | 29% | 39% | 19% | 3% |
| 51 | CHANG Annette | - | 3% | 16% | 34% | 31% | 13% | 2% |
| 52 | LEOU Korina | - | - | 1% | 5% | 21% | 42% | 32% |
| 52 | YUEN Nicole | - | - | 5% | 20% | 37% | 30% | 8% |
| 54 | TENG EMMA | - | 1% | 5% | 19% | 35% | 31% | 10% |
| 55 | XIAO Cindy | - | 2% | 10% | 28% | 37% | 21% | 2% |
| 56 | LAUREYNS Ainsley | 7% | 25% | 36% | 24% | 7% | 1% | - |
| 57 | DAVIDOVA Kira | - | - | - | 4% | 25% | 49% | 21% |
| 58 | HEATH Isabella | - | 3% | 14% | 32% | 34% | 15% | 2% |
| 59 | DHAR Layla | - | 1% | 6% | 25% | 43% | 25% | |
| 60 | WEI JoyAnn | - | - | 2% | 9% | 28% | 40% | 21% |
| 61 | FUNG Iris | - | - | 4% | 18% | 35% | 32% | 11% |
| 62 | LAI Karen | 3% | 19% | 38% | 29% | 10% | 1% | - |
| 63 | YANG Felicia | 10% | 35% | 36% | 16% | 3% | - | - |
| 64 | KIM Audrey | 1% | 10% | 28% | 34% | 21% | 6% | 1% |
| 65 | KWON Hannah | - | - | 2% | 11% | 30% | 39% | 18% |
| 66 | HU Anna | - | - | 1% | 6% | 23% | 42% | 28% |
| 67 | BERRIOS Catalina | - | 4% | 18% | 34% | 30% | 12% | 2% |
| 68 | GAUTAM Sahana | - | - | - | 1% | 10% | 41% | 48% |
| 69 | ARNOLD Hali | - | - | - | 4% | 20% | 43% | 33% |
| 70 | HALPERIN Elizabeth H. | - | 1% | 7% | 23% | 37% | 26% | 6% |
| 71 | ZHAO Selena | - | 4% | 20% | 40% | 29% | 6% | |
| 72 | LIU Hannah | 4% | 21% | 38% | 28% | 9% | 1% | |
| 73 | CHERUKURI Tanvi | 13% | 36% | 35% | 14% | 2% | - | |
| 74 | KU Chloe | 1% | 13% | 36% | 35% | 13% | 2% | |
| 75 | SUN Angela | 15% | 42% | 32% | 10% | 1% | - | |
| 76 | HUANG Doris | - | - | 3% | 13% | 32% | 37% | 15% |
| 77 | CASTELO Soleil | - | 1% | 9% | 31% | 41% | 16% | 2% |
| 78 | NADKARNI Marisa | - | 3% | 19% | 36% | 30% | 10% | 1% |
| 79 | HWANG Charlotte | - | 4% | 19% | 37% | 30% | 10% | 1% |
| 80 | DUFF Caitlin | - | 3% | 18% | 37% | 30% | 10% | 1% |
| 81 | GONG Joy | - | - | 1% | 8% | 29% | 42% | 19% |
| 82 | LI Sonia | - | 1% | 7% | 22% | 36% | 27% | 8% |
| 82 | LI Tiffany | 2% | 17% | 37% | 31% | 11% | 2% | - |
| 84 | GENTILE Vittoria | - | 3% | 16% | 35% | 32% | 13% | 2% |
| 85 | FERRIS Madeline | 3% | 16% | 33% | 31% | 14% | 3% | - |
| 86 | CHOWDHERY Myra | - | 2% | 12% | 30% | 34% | 17% | 3% |
| 87 | CAI Veronica | 3% | 19% | 37% | 30% | 10% | 1% | - |
| 87 | ROSTHOLDER Hannah | 5% | 25% | 42% | 23% | 5% | - | - |
| 89 | MALEK Zolie | - | - | 1% | 6% | 24% | 42% | 27% |
| 89 | STADNIK Emilia | - | 2% | 14% | 32% | 33% | 15% | 2% |
| 91 | WANG Tina | - | 5% | 23% | 39% | 25% | 6% | - |
| 92 | YU Stella | 1% | 10% | 28% | 36% | 20% | 4% | |
| 93 | KWON Ava | 2% | 14% | 34% | 34% | 14% | 2% | |
| 94 | HUGHES-WILLIAMS Adelayde | 1% | 8% | 26% | 39% | 23% | 4% | |
| 95 | BORTAI Eliza | 3% | 17% | 35% | 31% | 12% | 2% | |
| 96 | LEE Alyson | - | 1% | 7% | 26% | 43% | 24% | |
| 97 | MAK Kaitlin | - | 1% | 8% | 27% | 38% | 22% | 4% |
| 98 | CHANG Norah | - | 1% | 7% | 25% | 38% | 24% | 5% |
| 99 | KAUL Tara | - | 1% | 7% | 25% | 38% | 24% | 5% |
| 100 | LUKER Hannah | - | 1% | 8% | 27% | 37% | 22% | 5% |
| 101 | LEE Grace | 1% | 9% | 28% | 35% | 21% | 6% | 1% |
| 102 | LIU Hannah | - | - | 3% | 16% | 36% | 34% | 11% |
| 103 | MCAFEE Jada | - | 5% | 20% | 34% | 28% | 11% | 2% |
| 103 | SHMULER Fiona | - | - | 4% | 20% | 37% | 30% | 8% |
| 105 | NG Sophia | 1% | 6% | 22% | 35% | 27% | 8% | - |
| 106 | LONG Jessie | - | - | 2% | 10% | 28% | 39% | 21% |
| 107 | MISHEV Lila | 2% | 16% | 37% | 31% | 12% | 2% | - |
| 108 | KO Ariel | 1% | 13% | 34% | 34% | 15% | 3% | - |
| 109 | HSIEH Lucia | - | 5% | 21% | 37% | 28% | 8% | 1% |
| 110 | LIN Elaine | - | - | 1% | 8% | 29% | 44% | 19% |
| 111 | LONG Chloe | - | 7% | 26% | 39% | 23% | 5% | - |
| 112 | FOSS Persephone | - | 1% | 9% | 27% | 36% | 22% | 5% |
| 113 | FAN Alexandria | - | - | 3% | 15% | 37% | 35% | 10% |
| 114 | SUNG Olivia | - | 1% | 8% | 24% | 36% | 25% | 6% |
| 115 | IANNUZZI Lucy | - | - | 5% | 22% | 38% | 28% | 7% |
| 115 | OSMINKINA-JONES Kai | - | - | 4% | 18% | 37% | 33% | 9% |
| 117 | NING Lynn | - | 6% | 24% | 36% | 25% | 8% | 1% |
| 118 | LIN Annika | - | 6% | 28% | 40% | 21% | 4% | - |
| 119 | HUANG Pierra | - | 5% | 24% | 40% | 25% | 5% | |
| 120 | NEMORIN Rei | - | 4% | 20% | 39% | 29% | 6% | |
| 121 | TONG Laurie | 4% | 20% | 36% | 29% | 10% | 1% | |
| 122 | YADAV Tishya | - | 2% | 14% | 34% | 36% | 13% | 1% |
| 123 | CHENG Zijuan "Grace" | 2% | 17% | 38% | 32% | 10% | 1% | - |
| 124 | WONG Natalie | - | 1% | 10% | 32% | 39% | 15% | 2% |
| 125 | HU Heidi | 2% | 13% | 33% | 33% | 16% | 3% | - |
| 126 | MAO anna | 1% | 11% | 31% | 34% | 18% | 4% | - |
| 127 | CHIANG Melissa | - | 2% | 14% | 33% | 34% | 15% | 2% |
| 128 | MAJEWSKA Maria | 13% | 38% | 35% | 13% | 2% | - | |
| 129 | CHEN Elaine | - | 1% | 7% | 25% | 39% | 24% | 5% |
| 130 | NGUYEN Summer | 2% | 14% | 36% | 35% | 12% | 1% | - |
| 131 | KANG Soeun | - | 9% | 34% | 38% | 16% | 3% | - |
| 132 | BAIK Sarah | - | 2% | 12% | 30% | 36% | 18% | 1% |
| 133 | KINKADE Ellie | - | 1% | 9% | 30% | 41% | 19% | |
| 134 | MUNGUIA Mila | 1% | 9% | 31% | 41% | 17% | 1% | |
| 135 | HAMMERSTROM Aria | - | 2% | 15% | 40% | 38% | 5% | |
| 136 | BUSH Bethany | - | 1% | 9% | 29% | 41% | 19% | |
| 137 | KIM Satie | - | 1% | 11% | 34% | 37% | 14% | 2% |
| 138 | MAK Jayden | 1% | 10% | 28% | 35% | 20% | 5% | 1% |
| 139 | HUANG Neila | - | 6% | 23% | 37% | 26% | 7% | 1% |
| 140 | KIM Karen | - | 3% | 16% | 33% | 32% | 13% | 2% |
| 141 | GOLDIN Nina | - | - | - | 5% | 23% | 45% | 27% |
| 142 | KAZA Ananya | 7% | 35% | 38% | 16% | 3% | - | - |
| 143 | CHA Jungyun | 21% | 46% | 27% | 5% | - | - | - |
| 144 | MAO Elsa | 1% | 7% | 25% | 38% | 23% | 6% | 1% |
| 145 | LAFFY Lily | - | 3% | 21% | 39% | 28% | 8% | 1% |
| 146 | XU Elaine | - | 1% | 10% | 32% | 38% | 16% | 2% |
| 146 | HAM Elizabeth | 29% | 47% | 20% | 4% | - | - | - |
| 148 | ZHAI AMY | - | 2% | 11% | 28% | 34% | 20% | 4% |
| 149 | MERMEGAS Olivia | - | 1% | 7% | 32% | 42% | 17% | 2% |
| 150 | KATZ Emma | 5% | 25% | 39% | 24% | 7% | 1% | - |
| 151 | HAN Emma | - | 3% | 17% | 36% | 31% | 12% | 1% |
| 152 | BRIMMER Bella | 18% | 44% | 29% | 8% | 1% | - | - |
| 153 | SARATH Sana | 10% | 31% | 35% | 18% | 5% | 1% | - |
| 154 | ZONG Eliane | 1% | 11% | 33% | 34% | 16% | 4% | - |
| 155 | WANG JiaQi | 3% | 19% | 36% | 30% | 11% | 1% | |
| 156 | TOPALOV Julia | 23% | 42% | 27% | 7% | 1% | - | |
| 157 | YOUNG Sienna | 20% | 41% | 29% | 9% | 1% | - | |
| 158 | SENGUPTA Jia | 8% | 31% | 39% | 18% | 3% | - | |
| 159 | KIM Grace | 2% | 14% | 34% | 34% | 14% | 2% | - |
| 160 | BHAVSAR Vanmayi | 6% | 26% | 37% | 23% | 7% | 1% | - |
| 161 | JOHN Sophia | 1% | 9% | 28% | 37% | 20% | 4% | - |
| 162 | KIM Alexia | 2% | 19% | 39% | 29% | 9% | 1% | - |
| 163 | LU Angela | 32% | 44% | 20% | 4% | - | - | - |
| 164 | MERRITT Annabelle | 7% | 29% | 37% | 21% | 6% | 1% | - |
| 165 | KNULL Emma | 8% | 32% | 37% | 19% | 4% | - | - |
| 166 | CLAIANU Adriana | 22% | 44% | 27% | 7% | 1% | - | - |
| 167 | LEE Kaitlin | 3% | 17% | 34% | 31% | 13% | 3% | - |
| 168 | MEYERSON Michelle | - | 1% | 9% | 26% | 36% | 23% | 5% |
| 169 | WONG Charlene | 2% | 11% | 28% | 34% | 21% | 5% | - |
| 170 | VUDTHITHAMRONG Vivienne | 8% | 28% | 35% | 21% | 6% | 1% | - |
| 171 | NANDA Maanika | - | 7% | 27% | 38% | 22% | 5% | - |
| 171 | WONG Cerise | - | 3% | 19% | 38% | 30% | 10% | 1% |
| 173 | MULLER Inara | - | 2% | 12% | 32% | 37% | 16% | 2% |
| 173 | OH Chloe | 26% | 44% | 24% | 5% | - | - | - |
| 175 | ZHANG Ashley | 1% | 9% | 33% | 36% | 17% | 4% | - |
| 175 | TIAN Ariana | 38% | 42% | 17% | 3% | - | - | - |
| 177 | YANG Caroline | 3% | 23% | 38% | 26% | 9% | 1% | - |
| 178 | CHENG Anna | 2% | 18% | 38% | 30% | 10% | 2% | - |
| 179 | JUNG Sienna | 9% | 37% | 37% | 15% | 2% | - | - |
| 180 | LIM Eunice | 12% | 39% | 35% | 13% | 2% | - | - |
| 181 | LIQUARD Lea | 21% | 43% | 28% | 7% | 1% | - | - |
| 182 | OEI Allyson | 9% | 41% | 39% | 10% | 1% | - | - |
| 183 | KIM isabel | 20% | 39% | 29% | 10% | 2% | - | - |
| 184 | KAVZAN Duru | 3% | 18% | 34% | 30% | 13% | 2% | - |
| 185 | GUO Daisy | 8% | 36% | 37% | 15% | 3% | - | - |
| 186 | HUANG Valencia | 7% | 36% | 37% | 16% | 3% | - | - |
| 187 | KIM Grace | 7% | 26% | 36% | 24% | 7% | 1% | - |
| 188 | CAI Joanna | 9% | 30% | 36% | 20% | 5% | 1% | - |
| 189 | RANDALL-COLLINS Shea M. | 3% | 20% | 39% | 29% | 8% | 1% | |
| 190 | FANG Darcy | 55% | 36% | 8% | 1% | - | - | |
| 191 | LI Miranda | 28% | 44% | 23% | 5% | - | - | |
| 192 | DESAUTELS Alexandra | 13% | 36% | 34% | 14% | 3% | - | |
| 193 | PEREIRA Izumi | 15% | 37% | 33% | 13% | 2% | - | |
| 194 | DOLEV Rony | 16% | 37% | 32% | 12% | 2% | - | |
| 195 | MING Emma | 4% | 21% | 37% | 27% | 10% | 2% | - |
| 196 | WILFRET Katerina | 42% | 45% | 12% | 1% | - | - | - |
| 197 | KANIA Brigitte | 9% | 35% | 36% | 16% | 3% | - | - |
| 198 | FANG Elena | 20% | 38% | 29% | 11% | 2% | - | - |
| 199 | SEVASTOPULO Sahra | 1% | 7% | 23% | 35% | 26% | 8% | - |
| 200 | JOSHI Samika | 16% | 36% | 32% | 13% | 3% | - | - |
| 201 | SONG Phoebe | 46% | 40% | 12% | 2% | - | - | - |
| 202 | POWERS Waverly | 11% | 46% | 33% | 9% | 1% | - | - |
| 203 | YU Skylar | - | 4% | 21% | 37% | 28% | 9% | 1% |
| 204 | MORINAGA Mirai | 9% | 33% | 37% | 17% | 3% | - | - |
| 205 | ALSHAARAWI Sofia | 41% | 41% | 15% | 3% | - | - | - |
| 205 | ZHANG Olivia | 25% | 44% | 24% | 6% | 1% | - | - |
| 207 | SMITH Genevieve | 8% | 39% | 41% | 10% | 1% | - | - |
| 208 | SHEARER Alena | - | 4% | 19% | 36% | 29% | 10% | 1% |
| 209 | KAYA Lara | 4% | 21% | 40% | 27% | 7% | 1% | - |
| 210 | BIESIADA Sophia | 3% | 48% | 37% | 10% | 1% | - | - |
| 211 | BACKES Anastasia | 45% | 40% | 13% | 2% | - | - | - |
| 211 | TA-ZHOU Sophia | 4% | 19% | 34% | 29% | 12% | 2% | - |
| 211 | BABB Virginia | 12% | 38% | 34% | 13% | 3% | - | - |
| 211 | JAJRA Avni | 35% | 46% | 16% | 2% | - | - | - |
| 215 | FUCHS Umi | 57% | 35% | 7% | 1% | - | - | - |
| 216 | SANTIAGO Hannah | 16% | 41% | 32% | 10% | 2% | - | - |
| 217 | SEO Yunseo | 33% | 43% | 20% | 4% | - | - | - |
| 218 | JEON Kristen | 81% | 17% | 1% | - | - | - | - |
| 219 | ZOFFEL Gabriela | 34% | 43% | 19% | 4% | - | - | - |
| 220 | WITEK Isabelle | 2% | 30% | 41% | 22% | 5% | 1% | - |
| 221 | DING Jolie | 11% | 42% | 34% | 11% | 1% | - | |
| 222 | CHERON Helene | 13% | 36% | 34% | 14% | 3% | - | |
| 222 | YE Madeleine | 9% | 32% | 37% | 18% | 4% | - | |
| 224 | LI Meredith | 26% | 49% | 21% | 4% | - | - | - |
| 225 | TABANCAY Ava | 37% | 43% | 17% | 3% | - | - | |
| 226 | ARAVIND Aaradhana | 91% | 9% | - | - | - | - | - |
| 227 | BEARDSALL Agnes | 17% | 38% | 31% | 12% | 2% | - | |
| 228 | NAKATA Gwyneth | 62% | 31% | 6% | 1% | - | - | - |
| 229 | CHEN SIYAN | 10% | 30% | 35% | 19% | 5% | 1% | - |
| 230 | WONG Lucia | 36% | 45% | 17% | 2% | - | - | - |
| 231 | KAZA Aditi | 41% | 42% | 15% | 2% | - | - | - |
| 231 | CHAN Isla | 43% | 41% | 14% | 2% | - | - | - |
| 233 | MEADE Kaia G. | 54% | 37% | 9% | 1% | - | - | - |
| 234 | AN Jamie | 38% | 44% | 16% | 2% | - | - | - |
| 234 | GISCHLER Mila | 64% | 31% | 5% | - | - | - | - |
| 236 | LEE Ariella | 50% | 39% | 10% | 1% | - | - | - |
| 237 | YANG Renee | 54% | 38% | 8% | - | - | - | - |
| 238 | GILMORE Madeleine | 65% | 30% | 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.