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 | ZHENG Ivy | - | - | - | - | 4% | 30% | 66% |
| 2 | KONG Chin-Yi | - | - | - | 1% | 8% | 37% | 54% |
| 3 | CAO Arianna L. | - | - | - | - | 6% | 35% | 59% |
| 3 | LUNG Katerina | - | - | - | - | 2% | 24% | 74% |
| 5 | JING Emily | - | - | - | - | 3% | 27% | 70% |
| 6 | CHO Cameron S. | - | 1% | 13% | 42% | 35% | 8% | |
| 7 | OH Erin H. | - | - | - | 3% | 19% | 45% | 32% |
| 8 | PEVZNER Victoria | - | - | 2% | 16% | 44% | 38% | |
| 9 | SOOD Ishani S. | - | - | - | 4% | 24% | 45% | 26% |
| 10 | GRIFFIN Emma G. | - | - | - | 1% | 9% | 38% | 53% |
| 11 | LIU Joy Zhaoyi | - | - | 1% | 8% | 30% | 46% | 15% |
| 12 | SENIC Adeline | - | - | - | 2% | 13% | 41% | 44% |
| 13 | WANG Ellen | - | - | - | 2% | 13% | 40% | 45% |
| 14 | ZHANG Alina C. | - | - | - | 3% | 19% | 45% | 33% |
| 15 | GEBALA Gabrielle Grace A. | - | - | - | 3% | 20% | 46% | 32% |
| 16 | YU Lauren C. | - | - | 7% | 28% | 40% | 21% | 3% |
| 17 | CASTANEDA Erika L. | - | - | - | 2% | 14% | 43% | 42% |
| 18 | ZHAO Sophie L. | - | - | 2% | 11% | 33% | 40% | 15% |
| 18 | CHUSID Mikayla | - | - | - | - | 6% | 34% | 59% |
| 20 | DE LA CRUZ Eden | - | 1% | 5% | 21% | 39% | 29% | 6% |
| 21 | OUYANG Bridgette Z. | - | - | - | 4% | 27% | 48% | 20% |
| 22 | LIU Jaelyn A. | - | - | - | 3% | 19% | 47% | 31% |
| 23 | SHEN Sophia H. | - | - | - | 1% | 8% | 38% | 53% |
| 24 | KOENIG Charlotte R. | - | - | - | 6% | 28% | 44% | 22% |
| 25 | LEE Brianna J. | - | - | - | - | 3% | 23% | 74% |
| 26 | DUAN Konnie | - | 1% | 8% | 32% | 39% | 18% | 2% |
| 27 | LOCKE Savannah | - | - | 1% | 14% | 41% | 34% | 8% |
| 28 | KIM Rachael | - | - | - | 1% | 7% | 34% | 58% |
| 29 | DRAGNE Alexis D. | - | 2% | 15% | 37% | 33% | 11% | 1% |
| 30 | XIANG Emma | - | 2% | 14% | 36% | 35% | 12% | 1% |
| 31 | CHEN Jia P. | - | - | - | 3% | 19% | 47% | 30% |
| 32 | HUANG NATALIE | - | 1% | 7% | 28% | 41% | 20% | 2% |
| 33 | HO Brianna W. | - | - | - | 1% | 10% | 41% | 48% |
| 34 | LI Rachel Y. | - | - | 1% | 6% | 26% | 45% | 23% |
| 35 | CHEN Chloe I. | - | 1% | 13% | 40% | 35% | 10% | 1% |
| 36 | RANDOLPH Piper | - | - | 2% | 12% | 36% | 40% | 10% |
| 37 | DOROSHKEVICH Taisiia | - | - | 1% | 18% | 44% | 32% | 5% |
| 38 | CHEN Allison V. | - | - | - | 9% | 35% | 44% | 12% |
| 39 | SHEN Lydia | - | - | 1% | 5% | 23% | 45% | 27% |
| 40 | BATRA Chaahat | - | - | 3% | 15% | 39% | 38% | 6% |
| 41 | EYER Hailey M. | - | - | - | 1% | 13% | 44% | 42% |
| 42 | TALWALKAR Apoorva | - | 1% | 9% | 32% | 41% | 16% | 1% |
| 43 | NEWHARD Zelia "Zizi" | - | - | 1% | 8% | 28% | 43% | 20% |
| 44 | MEI Sarah | - | 1% | 10% | 32% | 38% | 16% | 1% |
| 45 | HE Fenghuan | - | - | - | 6% | 30% | 45% | 19% |
| 46 | KOROL Neta | - | - | 1% | 11% | 37% | 40% | 12% |
| 47 | TAN Kaitlyn N. | - | - | 3% | 20% | 48% | 28% | |
| 48 | LI Phoebe J. | - | - | 2% | 15% | 46% | 36% | |
| 49 | KIM Katherine | - | - | - | 4% | 20% | 43% | 32% |
| 50 | SEO IRENE Y. | - | 2% | 16% | 46% | 29% | 6% | - |
| 51 | LUO Sandra J. | - | 3% | 18% | 38% | 31% | 9% | 1% |
| 52 | WU Julianna Y. | - | - | 2% | 21% | 44% | 29% | 4% |
| 53 | PAHLAVI Dahlia | - | - | 2% | 16% | 43% | 32% | 6% |
| 54 | CHO Gracie L. | - | - | 1% | 10% | 37% | 42% | 10% |
| 55 | PANT Anisha | - | - | 2% | 25% | 45% | 24% | 3% |
| 56 | GOOR Viviene E. | - | 1% | 6% | 23% | 39% | 27% | 5% |
| 57 | LIPKOVITZ Rivka | 3% | 18% | 36% | 31% | 11% | 1% | - |
| 58 | LEE Lavender | 1% | 10% | 36% | 39% | 13% | 1% | |
| 59 | ORVANANOS Anice | 2% | 15% | 41% | 33% | 8% | 1% | |
| 60 | TAKAGI Hikaru G. | - | 1% | 7% | 32% | 44% | 16% | |
| 61 | NAMGALAURI Mariam | - | - | 7% | 31% | 42% | 17% | 2% |
| 62 | JANG Kimberley | - | - | - | 5% | 23% | 45% | 26% |
| 63 | RASO Olivia | 1% | 9% | 37% | 40% | 13% | 1% | - |
| 64 | GU EMILY | - | - | 7% | 39% | 39% | 14% | 1% |
| 65 | YHIP Mikaela M. | - | - | 1% | 10% | 38% | 43% | 8% |
| 65 | LIU Angel(Daying) | - | - | 5% | 23% | 44% | 25% | 3% |
| 67 | LAMBERT Mahala | - | 1% | 9% | 30% | 39% | 18% | 2% |
| 68 | CHO Rebecca H. | - | - | 2% | 23% | 43% | 27% | 5% |
| 69 | PENG Amber L. | - | - | 2% | 18% | 43% | 31% | 6% |
| 70 | WANDJI Anais | - | - | 2% | 13% | 39% | 40% | 6% |
| 71 | KOROL Dana | - | 3% | 16% | 35% | 33% | 12% | 1% |
| 71 | WELBORN Calissa | 3% | 20% | 38% | 29% | 9% | 1% | - |
| 73 | MARKOVSKY Nina | - | 13% | 36% | 35% | 14% | 2% | - |
| 74 | COOPER Piper W. | - | 4% | 21% | 46% | 25% | 4% | - |
| 75 | LEE Allison | 3% | 22% | 43% | 26% | 5% | - | - |
| 76 | ZULUETA Catherine | 1% | 17% | 41% | 32% | 8% | 1% | - |
| 77 | STRUGAR Steliana | 4% | 22% | 39% | 26% | 7% | 1% | - |
| 78 | SHITAMOTO Audrey F. | - | 2% | 13% | 33% | 35% | 15% | 2% |
| 79 | HSIUNG Samantha | - | 7% | 35% | 41% | 14% | 2% | - |
| 80 | MI Aileen | - | - | 6% | 38% | 41% | 14% | 1% |
| 81 | SHIH Diane | - | - | 3% | 20% | 45% | 27% | 5% |
| 82 | SARTORI Taylor M. | - | - | 1% | 9% | 35% | 43% | 13% |
| 83 | MI Anning | 1% | 6% | 23% | 38% | 26% | 7% | 1% |
| 84 | FERNANDES Thea | - | - | 4% | 32% | 44% | 19% | 2% |
| 85 | KONG Olivia | - | - | 3% | 20% | 46% | 27% | 3% |
| 86 | NISSINOFF Alexandra | - | 3% | 16% | 36% | 32% | 12% | 1% |
| 87 | SUN Ruoxi | - | - | 3% | 18% | 40% | 32% | 7% |
| 88 | ROY Layla | - | 1% | 10% | 30% | 38% | 18% | 3% |
| 88 | SUN Chien-Yu | - | 1% | 10% | 30% | 40% | 17% | 1% |
| 88 | FUNG Emma | - | 4% | 21% | 41% | 27% | 6% | - |
| 91 | CHANG Elizabeth | - | 7% | 31% | 38% | 19% | 4% | - |
| 91 | ASCHETTINO Aurora | 1% | 13% | 40% | 34% | 10% | 1% | - |
| 93 | WONG Sophia M. | - | - | 6% | 24% | 41% | 26% | 3% |
| 94 | GUERRA Sofia E. | - | - | 5% | 33% | 41% | 18% | 2% |
| 95 | LEE Fiona E. | 4% | 20% | 38% | 28% | 9% | 1% | - |
| 96 | CASTANEDA Keira | 1% | 13% | 43% | 32% | 9% | 1% | - |
| 97 | YU Jaime L. | 1% | 9% | 29% | 37% | 19% | 4% | - |
| 98 | NEWMAN Ariel | 16% | 42% | 33% | 8% | 1% | - | - |
| 99 | BEAVER Kaitlyn | 2% | 20% | 43% | 27% | 7% | 1% | - |
| 100 | THIRUVENGADAM Harini | 7% | 39% | 38% | 13% | 2% | - | - |
| 101 | LEE Ariana | - | 2% | 15% | 36% | 35% | 11% | 1% |
| 102 | KOSTELNY Alexis | - | - | 5% | 23% | 40% | 27% | 4% |
| 103 | FUNG Vera | 2% | 14% | 35% | 35% | 12% | 1% | - |
| 104 | KO Claire | 1% | 24% | 57% | 17% | 2% | - | - |
| 105 | DENYSIUK Sumajja | 27% | 48% | 21% | 3% | - | - | - |
| 106 | HWANG Alison | - | 3% | 21% | 41% | 28% | 6% | - |
| 107 | HAN Ashley | 4% | 24% | 39% | 26% | 7% | 1% | - |
| 107 | BEAVER Hannah | 1% | 14% | 38% | 35% | 11% | 1% | - |
| 109 | HAN Crystal | 2% | 17% | 38% | 30% | 10% | 1% | - |
| 110 | PENG Serena | - | 12% | 35% | 36% | 15% | 2% | - |
| 111 | JIANG Yangying (Amanda) | - | 3% | 18% | 38% | 31% | 9% | 1% |
| 111 | ZHANG Selena | 9% | 41% | 39% | 10% | 1% | - | - |
| 113 | CHARALEL Jessica | 1% | 21% | 41% | 29% | 8% | 1% | - |
| 114 | HAYES Alyssa R. | 1% | 10% | 35% | 37% | 15% | 2% | - |
| 114 | PATTERSON Natalia | 2% | 25% | 59% | 13% | 1% | - | - |
| 116 | KUNDU TRISHA | 26% | 47% | 22% | 4% | - | - | - |
| 117 | OLORVIDA Isabella | 27% | 50% | 20% | 3% | - | - | - |
| 118 | CHOI Kailyn | 17% | 41% | 31% | 10% | 1% | - | - |
| 119 | NORTH Zoe M. | 3% | 30% | 54% | 12% | 1% | - | - |
| 120 | JANEW Anastasia | 34% | 47% | 18% | 1% | - | - | - |
| 121 | NIRGUDE Siddhi | 68% | 28% | 4% | - | - | - | - |
| 122 | MORADI Raiyan N. | 6% | 31% | 45% | 17% | 2% | - | |
| 123 | SHUM Elizabeth | 15% | 47% | 30% | 7% | 1% | - | |
| 124 | PARK Leah | 41% | 44% | 14% | 1% | - | - | |
| 125 | BOLES Amanda X. | 5% | 34% | 44% | 15% | 2% | - | - |
| 126 | KETTELLE Molly | 2% | 17% | 40% | 30% | 9% | 1% | - |
| 127 | LENZ Zoe N. | 23% | 43% | 27% | 7% | 1% | - | - |
| 128 | DONDERIS Hannah E. | 1% | 7% | 26% | 38% | 22% | 5% | - |
| 129 | TOBIN Brean | 19% | 47% | 28% | 5% | - | - | |
| 130 | KAPOOR Saanvi | 45% | 44% | 10% | 1% | - | - | - |
| 131 | SHUM Maya | 2% | 26% | 43% | 24% | 5% | - | - |
| 132 | HOWELL Jocelyn | 50% | 40% | 9% | 1% | - | - | - |
| 133 | PARK Jacqueline | 32% | 46% | 19% | 3% | - | - | - |
| 133 | NICKOLOV Nora | 48% | 40% | 11% | 1% | - | - | - |
| 135 | WILSON Liya | 53% | 42% | 5% | - | - | - | - |
| 136 | BENNETT Abigail | 6% | 60% | 31% | 3% | - | - | - |
| 136 | QUINN Anna | 36% | 43% | 18% | 3% | - | - | - |
| 138 | SUN Emily | 4% | 28% | 49% | 17% | 2% | - | - |
| 139 | SEAL Cameron I. | 2% | 18% | 38% | 31% | 10% | 1% | - |
| 140 | ROLOFF Katarina M. | 12% | 40% | 34% | 12% | 2% | - | - |
| 140 | CHANDLER Darcy | 32% | 51% | 16% | 2% | - | - | - |
| 142 | WANG Celine S. | 20% | 41% | 29% | 9% | 1% | - | - |
| 143 | CHENG Isa | 64% | 33% | 3% | - | - | - | - |
| 144 | OWENS Elise | 45% | 44% | 10% | 1% | - | - | - |
| 144 | ZAMELIS Madelyn | 25% | 45% | 25% | 4% | - | - | - |
| 144 | SHAH Suhani | 12% | 42% | 40% | 6% | - | - | - |
| 147 | LEVANT Briea | 41% | 42% | 15% | 2% | - | - | - |
| 148 | SHANGGUAN Xiaotian | 44% | 46% | 9% | 1% | - | - | - |
| 149 | PARK Caitlyn | 10% | 47% | 33% | 9% | 1% | - | - |
| 150 | FERGUSON Aliya | 10% | 41% | 37% | 11% | 1% | - | - |
| 151 | FURST Chloe | 11% | 36% | 36% | 14% | 3% | - | - |
| 151 | CABALU Alaina | 17% | 44% | 33% | 6% | - | - | - |
| 153 | LURIX Elise | 50% | 40% | 10% | 1% | - | - | |
| 154 | KANG Ashley | 90% | 9% | - | - | - | - | - |
| 155 | ARMSTRONG Olivia | 30% | 53% | 15% | 1% | - | - | - |
| 155 | LAY Apollonia | 23% | 41% | 27% | 8% | 1% | - | - |
| 157 | YANKOPOULOS Elise | 83% | 16% | 1% | - | - | - | - |
| 157 | HUFFMAN Taeli | 17% | 54% | 27% | 2% | - | - | - |
| 157 | SA Milla | 20% | 51% | 25% | 4% | - | - | - |
| 160 | VAYNBERG Ellen | 24% | 49% | 25% | 2% | - | - | - |
| 161 | TREADWAY Ella | 67% | 29% | 4% | - | - | - | - |
| 161 | HOLCOMB Emily | 86% | 13% | - | - | - | - | - |
| 163 | SAUCEDO Grecia | 51% | 38% | 10% | 1% | - | - | - |
| 163 | BANNISTER Amelia | 27% | 52% | 20% | 2% | - | - | - |
| 165 | LAYE Isabella | 39% | 47% | 13% | 1% | - | - | - |
| 166 | MARTIN Adriana | 62% | 33% | 5% | - | - | - | - |
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.