Salt Palace Convention Center - Salt Lake City, UT, 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 | GOOR Viviene E. | - | - | - | - | 4% | 27% | 69% |
| 2 | YANG Emma | - | - | - | 1% | 7% | 38% | 54% |
| 3 | LEE Lavender | - | - | - | - | 3% | 26% | 71% |
| 3 | YANG Iris | - | - | - | 4% | 21% | 47% | 28% |
| 5 | LIU Joy Zhaoyi | - | - | - | - | 1% | 17% | 82% |
| 6 | ZOU Ella | - | - | 2% | 11% | 32% | 40% | 16% |
| 7 | ZHOU Chenchu | - | 1% | 9% | 29% | 38% | 20% | 2% |
| 8 | DOROSHKEVICH Taisiia | - | - | 2% | 12% | 33% | 38% | 15% |
| 9 | ZHANG Soleil C. | - | - | - | 3% | 16% | 42% | 39% |
| 10 | JOO Natalie | - | - | 1% | 7% | 30% | 47% | 15% |
| 11 | FENG Audrey | - | - | 2% | 12% | 38% | 41% | 7% |
| 12 | SHEN Emilia | - | - | - | 1% | 6% | 32% | 62% |
| 13 | KIM Haeun | - | - | 1% | 7% | 26% | 43% | 24% |
| 14 | HSU Kaylin | - | 2% | 11% | 32% | 39% | 17% | |
| 15 | KOPYLTSOVA Elizaveta | - | - | 1% | 5% | 23% | 44% | 27% |
| 16 | LUO Miranda | 4% | 21% | 38% | 28% | 9% | 1% | |
| 17 | WANG YIRAN | - | - | - | - | 5% | 30% | 65% |
| 18 | FEDELI Caterina S. | - | - | - | - | - | 12% | 87% |
| 19 | WANG YiXi | - | - | - | 4% | 20% | 47% | 29% |
| 20 | FENG Grace | - | - | - | 5% | 23% | 43% | 28% |
| 21 | TANG Melody Fujiao | - | 1% | 6% | 25% | 44% | 25% | |
| 22 | PUTHOFF Olivia | 1% | 7% | 28% | 38% | 22% | 4% | |
| 23 | SONG Yuqiao Aprille | - | - | - | - | 3% | 27% | 71% |
| 24 | LAI Sophia | - | - | 1% | 10% | 30% | 40% | 19% |
| 24 | DUAN Sophie | - | 3% | 17% | 37% | 31% | 11% | 1% |
| 26 | LI Han (Helina) | - | - | 2% | 14% | 34% | 36% | 14% |
| 27 | DAI Zizhuo (Zizi) | - | - | 5% | 22% | 43% | 30% | |
| 28 | KIM Rachel | - | - | 1% | 6% | 23% | 42% | 28% |
| 29 | SHENG Katherine | - | - | 4% | 21% | 43% | 30% | 3% |
| 30 | GU Maggie Runlin | - | 1% | 6% | 24% | 42% | 28% | |
| 31 | FETECAU Ilinca | - | 1% | 6% | 23% | 37% | 27% | 7% |
| 32 | EYER Brooke | 1% | 13% | 34% | 35% | 15% | 3% | - |
| 33 | SUN Chloe | - | - | - | - | 7% | 36% | 57% |
| 34 | DENG Melissa | - | - | 1% | 7% | 25% | 42% | 25% |
| 35 | NISSINOFF Alexandra | - | - | - | - | 6% | 32% | 61% |
| 36 | PAULUS Sloane E. | - | - | 4% | 23% | 45% | 27% | |
| 37 | PEVZNER Nicole | - | 7% | 26% | 39% | 24% | 5% | |
| 38 | LIU Samantha | - | 1% | 8% | 25% | 37% | 23% | 5% |
| 39 | POEI Lauren | - | 1% | 9% | 28% | 38% | 21% | 3% |
| 40 | MANIKTALA Prisha | - | 2% | 9% | 28% | 38% | 20% | 3% |
| 41 | WANG SIQI | - | - | 4% | 18% | 37% | 32% | 9% |
| 42 | SHIN Elizabeth | 1% | 16% | 41% | 32% | 9% | 1% | |
| 43 | XIE Su | 2% | 18% | 36% | 31% | 11% | 1% | |
| 44 | CHUN Adelle Ha-Eune | - | - | 5% | 22% | 40% | 27% | 6% |
| 45 | MCSHERRY Ava | - | - | - | 3% | 17% | 47% | 33% |
| 46 | MARISI Gianna | 1% | 6% | 23% | 38% | 26% | 7% | 1% |
| 47 | LIU Ariana | 1% | 7% | 26% | 41% | 21% | 4% | - |
| 47 | LI Alice | - | 2% | 12% | 34% | 38% | 14% | 1% |
| 49 | LI Joy | 1% | 10% | 31% | 35% | 18% | 4% | - |
| 50 | JIANG Chloe | - | 5% | 20% | 37% | 30% | 7% | |
| 51 | HU Jenna | - | - | 5% | 24% | 46% | 25% | |
| 52 | BAE Yooju | - | - | 3% | 15% | 41% | 41% | |
| 53 | WANG Joanna | - | 1% | 7% | 27% | 43% | 21% | |
| 54 | ORBE-AUSTIN Nia | 7% | 28% | 37% | 21% | 5% | - | |
| 55 | ZHANG Ivy | - | 1% | 7% | 28% | 42% | 21% | 1% |
| 55 | WANG Amabel | - | 1% | 6% | 22% | 39% | 27% | 4% |
| 57 | SHTEPA Rada | - | 2% | 19% | 39% | 31% | 9% | 1% |
| 58 | THERON Zoe | - | 5% | 19% | 37% | 30% | 8% | - |
| 59 | SHMUKLER Maria | 1% | 7% | 26% | 39% | 23% | 5% | - |
| 60 | DIMATULAC Elise Ann | - | 1% | 8% | 26% | 38% | 22% | 4% |
| 61 | CHOI Jion | 1% | 10% | 32% | 38% | 17% | 3% | - |
| 62 | NWODO Naila | 12% | 36% | 36% | 14% | 2% | - | - |
| 63 | HAFEZ Tahiyah | - | 3% | 16% | 36% | 32% | 12% | 1% |
| 64 | LEE Dahyoon | 5% | 26% | 39% | 24% | 7% | 1% | |
| 65 | SHIM Grace J. | - | - | 1% | 9% | 34% | 44% | 12% |
| 66 | MUMMANENI Samyuta | - | 8% | 28% | 38% | 21% | 5% | - |
| 67 | MIYASHIRO Katelyn | 1% | 6% | 25% | 40% | 23% | 4% | - |
| 68 | WATSON Evelyn | 2% | 15% | 34% | 33% | 14% | 2% | - |
| 69 | HUANG Yuwen | 1% | 8% | 26% | 38% | 23% | 5% | |
| 70 | LENK Sophie | 1% | 8% | 27% | 39% | 21% | 4% | |
| 71 | ZOLDAN Gweniveve A. | 5% | 24% | 38% | 25% | 7% | 1% | |
| 72 | AADHI Hansika | - | 4% | 20% | 39% | 30% | 7% | |
| 73 | WANG CAROL | - | - | 4% | 20% | 38% | 30% | 7% |
| 74 | FIELD Elizabeth | - | 1% | 14% | 36% | 35% | 13% | 1% |
| 75 | YONG Rosalind | - | 4% | 24% | 41% | 25% | 5% | - |
| 76 | WU Nicole Moxuan | - | 1% | 12% | 35% | 38% | 13% | 1% |
| 77 | KIM Sydney | - | - | 7% | 27% | 40% | 23% | 2% |
| 78 | KIM Natalie | 32% | 43% | 20% | 4% | < 1% | - | - |
| 79 | HSIAO Ariya | 4% | 22% | 37% | 27% | 9% | 1% | - |
| 80 | LIU Enjia Sherry liu | - | 1% | 7% | 25% | 37% | 24% | 5% |
| 81 | BROWN Lola | - | 1% | 9% | 32% | 41% | 16% | 1% |
| 82 | LIU Ashley | 7% | 28% | 39% | 21% | 5% | - | |
| 83 | ZELDIN Nadia | - | 5% | 24% | 39% | 26% | 6% | |
| 84 | GUAN Adeline | - | 2% | 13% | 35% | 37% | 14% | |
| 85 | OH Ceana | - | 1% | 9% | 29% | 41% | 20% | |
| 86 | FANG Kelervia | 18% | 41% | 30% | 9% | 1% | - | |
| 87 | BERGEL Daphne | 3% | 18% | 37% | 30% | 11% | 2% | - |
| 88 | SAIFEE Lamya | - | 1% | 9% | 29% | 38% | 19% | 3% |
| 89 | MCFARLANE Asha | - | 5% | 22% | 38% | 27% | 8% | 1% |
| 89 | SWANSON Alexa | - | 4% | 18% | 37% | 31% | 10% | 1% |
| 91 | CULLIVAN Sienna | 1% | 11% | 35% | 35% | 15% | 3% | - |
| 92 | MCSHERRY Kayla | 1% | 8% | 29% | 37% | 20% | 4% | - |
| 93 | PARK Lina | - | - | 1% | 9% | 32% | 48% | 10% |
| 93 | KIM Claire | - | 4% | 17% | 34% | 32% | 12% | 1% |
| 95 | WANG DINA C. | 1% | 12% | 34% | 35% | 15% | 3% | - |
| 96 | ZHANG Lian | 1% | 12% | 37% | 36% | 13% | 2% | - |
| 97 | YURKOVA Mariia | - | - | 2% | 15% | 41% | 38% | 3% |
| 98 | AL-BATTAINEH Eva | - | 4% | 19% | 37% | 30% | 8% | 1% |
| 99 | YU Jane | - | 5% | 21% | 36% | 28% | 9% | 1% |
| 99 | JOO Sara | 4% | 21% | 36% | 28% | 9% | 1% | - |
| 101 | DAI Iris Yuyang | 12% | 35% | 36% | 15% | 3% | - | - |
| 102 | WYNN Kylie | - | 1% | 10% | 30% | 40% | 19% | |
| 103 | YAN Noelle | - | 7% | 30% | 41% | 19% | 3% | |
| 104 | HOROWITZ Shuli | 20% | 41% | 29% | 9% | 1% | - | |
| 105 | HARRIS Parker | 16% | 39% | 32% | 11% | 2% | - | |
| 106 | SHIN Jaelynn | 12% | 44% | 33% | 10% | 1% | - | |
| 107 | ZEE Savannah | 5% | 25% | 39% | 24% | 7% | 1% | - |
| 108 | TAO Ann | - | 4% | 26% | 42% | 23% | 4% | - |
| 109 | NEUMANN Erika | 4% | 20% | 36% | 29% | 10% | 1% | - |
| 110 | DAVIS Logan | - | 2% | 13% | 32% | 34% | 16% | 3% |
| 111 | ALKADI Mai | 9% | 30% | 37% | 20% | 4% | - | - |
| 112 | PARK Zena | - | 2% | 18% | 38% | 32% | 10% | 1% |
| 113 | LI Chelsea | 10% | 39% | 36% | 13% | 2% | - | - |
| 114 | XIE Lillian | - | 1% | 7% | 27% | 43% | 20% | 2% |
| 115 | VIJAYAKUMAR Diya | 1% | 10% | 33% | 37% | 16% | 2% | - |
| 115 | REZA Fukaina | 6% | 33% | 40% | 18% | 3% | - | - |
| 117 | ANDONIAN Lauren | 6% | 25% | 37% | 24% | 7% | 1% | - |
| 118 | MAIA ZUCKERMAN Julia | 46% | 46% | 8% | 1% | - | - | - |
| 119 | REN Kayley | - | 1% | 8% | 27% | 39% | 22% | 3% |
| 119 | ORBÉ-AUSTIN Maya | 4% | 21% | 37% | 27% | 9% | 1% | - |
| 119 | LUCAS Ava | 54% | 37% | 8% | 1% | - | - | - |
| 122 | TEWARI Amaira | 64% | 31% | 5% | - | - | - | - |
| 123 | ZAMLYNNY Maya | - | 6% | 30% | 41% | 20% | 3% | - |
| 124 | IQBAL Mariam | 11% | 45% | 33% | 9% | 1% | - | - |
| 125 | BING Charlotte | - | 4% | 20% | 38% | 30% | 7% | |
| 126 | COLE Sofia | 4% | 37% | 41% | 16% | 2% | - | |
| 127 | LI Savannah | 2% | 15% | 34% | 33% | 14% | 2% | |
| 128 | PENG Charlotte | - | 5% | 20% | 36% | 28% | 9% | 1% |
| 129 | CHOI Sophie | 8% | 29% | 37% | 20% | 5% | - | - |
| 130 | CAO Kayla | 10% | 34% | 37% | 16% | 3% | - | |
| 131 | HARRIS Julia | - | 2% | 14% | 36% | 36% | 11% | |
| 131 | WANG Doreen | 23% | 41% | 27% | 8% | 1% | - | |
| 133 | BLAKEY Heaven | 14% | 38% | 34% | 12% | 2% | - | - |
| 134 | OLAWOYE Jadesola | 10% | 35% | 37% | 15% | 2% | - | - |
| 135 | ZHOU Joi | 2% | 16% | 37% | 32% | 11% | 1% | - |
| 136 | MIYOSHI Kylie | 25% | 49% | 22% | 4% | - | - | - |
| 137 | BAULIN Zoya | 51% | 38% | 10% | 1% | - | - | - |
| 137 | LEE Abigail | 61% | 33% | 5% | - | - | - | - |
| 137 | KIM Lauren | 41% | 41% | 15% | 3% | - | - | - |
| 140 | PARANJAPE Ojasvi | 40% | 49% | 11% | 1% | - | - | - |
| 141 | DESERANNO Seren | 8% | 32% | 39% | 18% | 3% | - | - |
| 142 | YAO Abby | 3% | 25% | 40% | 25% | 7% | 1% | - |
| 143 | FRASER Morgan | 20% | 41% | 29% | 8% | 1% | - | - |
| 143 | WU Chingfei Amber | 2% | 16% | 40% | 31% | 10% | 1% | - |
| 145 | SCHULTZ Sumi | 34% | 43% | 19% | 3% | - | - | - |
| 146 | HAN Mia | 9% | 37% | 36% | 15% | 3% | - | - |
| 147 | ZOLDAN Nolabelle | 37% | 49% | 12% | 1% | - | - | - |
| 148 | CHO Karis | 14% | 39% | 34% | 11% | 1% | - | - |
| 149 | SHAOOLIAN Maya | 17% | 38% | 32% | 12% | 2% | - | - |
| 150 | CHANG Olivia | 30% | 43% | 22% | 5% | - | - | - |
| 151 | SEAL Ayda | 47% | 41% | 11% | 1% | - | - | - |
| 152 | SWOPE Farren | 16% | 39% | 32% | 11% | 2% | - | |
| 153 | GE Lena Lan | 15% | 43% | 32% | 9% | 1% | - | - |
| 154 | HO Addison | < 1% | - | 3% | 17% | 37% | 33% | 9% |
| 155 | YU Sophie | 21% | 42% | 28% | 8% | 1% | - | |
| 156 | LI Junhan | 22% | 43% | 28% | 7% | 1% | - | - |
| 157 | DESAI Esha | 15% | 40% | 32% | 11% | 2% | - | - |
| 158 | RIVERA Leahy | 24% | 41% | 26% | 8% | 1% | - | - |
| 159 | FAN Sophia | 50% | 38% | 10% | 1% | - | - | |
| 160 | CHO Olivia | 9% | 43% | 35% | 11% | 2% | - | - |
| 161 | ZHANG Tianyi | 42% | 44% | 12% | 1% | - | - | - |
| 162 | GOITIA Genevieve | 55% | 37% | 8% | 1% | - | - | |
| 162 | LEE Jeemin | 19% | 40% | 30% | 10% | 1% | - | |
| 164 | IRELAND Moira | 81% | 17% | 1% | - | - | - | |
| 165 | PEVZNER Sophia | 35% | 52% | 12% | 1% | - | - | - |
| 165 | IWERSEN Marte | 15% | 40% | 32% | 11% | 2% | - | - |
| 165 | LEGGETT Emilia | 72% | 24% | 3% | - | - | - | - |
| 168 | HILL Amelia | 44% | 40% | 14% | 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.