Minneapolis, MN, 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 | FREEDMAN Janna N. | - | - | - | - | 3% | 23% | 74% |
| 2 | MIKA Veronica | - | - | - | 1% | 11% | 40% | 47% |
| 3 | SHOMAN Jenna | - | - | - | - | 2% | 23% | 75% |
| 3 | ERIKSON Kira R. | - | - | 4% | 19% | 39% | 31% | 7% |
| 5 | BEVACQUA Aria F. | - | - | 3% | 20% | 45% | 32% | |
| 6 | KER Grace | - | - | - | 2% | 15% | 41% | 42% |
| 7 | DUCKETT Madison | - | - | - | 2% | 15% | 42% | 41% |
| 8 | MULAGARI Sadhika | 4% | 20% | 38% | 29% | 9% | 1% | |
| 9 | HILD Nisha | - | - | 1% | 5% | 21% | 41% | 33% |
| 10 | ANDRES Charmaine G. | - | - | - | 2% | 14% | 41% | 43% |
| 11 | KIM Marley I. | - | 1% | 6% | 26% | 46% | 22% | |
| 12 | GHAYALOD Reya | - | - | - | 2% | 15% | 41% | 41% |
| 13 | BARNOVITZ Maya | - | - | 5% | 20% | 39% | 29% | 7% |
| 14 | BALAKUMARAN Maya | - | - | 3% | 22% | 47% | 27% | |
| 15 | CHIN Sophia J. | - | - | 4% | 21% | 44% | 30% | |
| 16 | TONG Jessie | - | - | 5% | 25% | 42% | 24% | 3% |
| 17 | ENGELMAN-SANZ Madeline A. | - | - | - | - | 5% | 30% | 65% |
| 18 | ALCEBAR Kayla | - | - | 2% | 11% | 32% | 39% | 16% |
| 19 | LIU Sophie | - | - | 2% | 10% | 27% | 39% | 23% |
| 20 | HWANG Gabriela M. | - | 1% | 6% | 24% | 42% | 27% | |
| 21 | WIGGERS Susan Q. | - | - | - | 3% | 16% | 40% | 41% |
| 22 | FANG Victoria W. | - | - | 3% | 16% | 37% | 35% | 8% |
| 23 | WEI Vivian W. | - | 1% | 6% | 22% | 38% | 28% | 6% |
| 24 | NATH Trisha | - | 1% | 8% | 28% | 43% | 20% | |
| 25 | KRASTEV Minna | - | - | 1% | 11% | 38% | 50% | |
| 26 | SINHA Anika | - | 5% | 22% | 38% | 28% | 6% | |
| 27 | YUAN Greta | - | - | 4% | 17% | 34% | 32% | 12% |
| 28 | JOHNSON Lydia | - | 1% | 6% | 24% | 39% | 26% | 5% |
| 29 | YANG Angelina LeLe | - | - | 2% | 13% | 36% | 38% | 11% |
| 30 | WU Helen | - | 2% | 11% | 27% | 35% | 21% | 4% |
| 31 | XIAO julie | - | 1% | 9% | 27% | 37% | 21% | 4% |
| 32 | SOURIMTO Valeria | - | 1% | 9% | 31% | 42% | 17% | |
| 33 | VADASZ Ibla P. | - | - | - | 3% | 18% | 42% | 37% |
| 34 | HU Michelle | - | 2% | 17% | 45% | 30% | 6% | |
| 35 | LIU Sydney | - | 2% | 17% | 40% | 32% | 9% | 1% |
| 36 | ANTHONY Alexia B. | - | - | 2% | 11% | 31% | 39% | 17% |
| 37 | TABANGAY Heartlyn | - | 1% | 8% | 25% | 36% | 24% | 6% |
| 38 | SHI Julia | 1% | 11% | 29% | 35% | 19% | 4% | - |
| 39 | LI Amanda C. | - | - | - | 1% | 8% | 36% | 55% |
| 40 | FEIG Sela | - | 4% | 17% | 35% | 32% | 11% | 1% |
| 41 | KHAN Alissa | - | 6% | 24% | 40% | 26% | 4% | |
| 42 | SCHIMINOVICH Sophia I. | - | 1% | 8% | 30% | 43% | 18% | |
| 43 | LIM Jaslene | 1% | 15% | 36% | 34% | 13% | 1% | |
| 44 | CHRISTOTHOULOU Olympia C. | 2% | 13% | 34% | 35% | 14% | 2% | |
| 45 | LEMUS-IAKOVIDOU ALEXANDRA | - | 2% | 12% | 30% | 36% | 18% | 1% |
| 46 | YANG Lea | 1% | 8% | 23% | 33% | 24% | 9% | 1% |
| 47 | LEE Sophia | - | 2% | 14% | 33% | 36% | 14% | 1% |
| 48 | LIGH Erenei J. | - | 1% | 5% | 20% | 39% | 30% | 6% |
| 49 | FERREIRA Alejandra E. | - | 2% | 12% | 30% | 34% | 18% | 4% |
| 50 | FESTA Carina | 1% | 10% | 30% | 37% | 19% | 3% | |
| 51 | SHEARER Natalie E. | - | - | 3% | 17% | 44% | 36% | |
| 52 | LU Elaine | - | - | 3% | 21% | 47% | 30% | |
| 53 | JEONG Katie | - | 2% | 14% | 35% | 36% | 12% | |
| 54 | LEE Hannah | - | - | 2% | 14% | 41% | 42% | |
| 55 | JIANG Mu Jia (Michelle) | 35% | 43% | 18% | 3% | - | - | |
| 56 | ZHANG XUANYI | - | - | 5% | 19% | 37% | 30% | 8% |
| 57 | JOHNSON Dagny L. | - | 1% | 4% | 18% | 36% | 32% | 9% |
| 58 | HAMBAZAZA Liisa | 1% | 6% | 21% | 36% | 27% | 8% | 1% |
| 59 | NATHANSON Sammy E. | - | 1% | 7% | 24% | 36% | 25% | 7% |
| 60 | LUKER Sophia | - | 2% | 13% | 30% | 34% | 18% | 3% |
| 61 | TAN Adelyn | 18% | 39% | 31% | 11% | 2% | - | - |
| 62 | TSE Angelina | - | - | 4% | 19% | 40% | 32% | 4% |
| 63 | ZHANG Victoria | 1% | 9% | 34% | 38% | 15% | 2% | |
| 64 | SHINCHUK Ellisha | 3% | 14% | 29% | 31% | 18% | 5% | 1% |
| 65 | CHEN Ashley | - | - | 5% | 20% | 41% | 28% | 6% |
| 66 | MANSPERGER Leena | - | 3% | 14% | 33% | 35% | 14% | 2% |
| 67 | HUNG Anna | - | 4% | 18% | 38% | 32% | 8% | |
| 68 | ZHANG Chenfei | 3% | 17% | 34% | 31% | 13% | 2% | - |
| 69 | YANG Ashley M. | - | - | - | 3% | 17% | 43% | 36% |
| 70 | SHI Cathleen | - | - | 2% | 11% | 32% | 40% | 14% |
| 71 | YOUNG Charlotte G. | 1% | 12% | 31% | 33% | 18% | 4% | - |
| 72 | CHIANG Melissa | 3% | 27% | 40% | 23% | 6% | 1% | - |
| 73 | GAUTAM Sahana | 4% | 18% | 32% | 28% | 14% | 3% | - |
| 74 | GRAFF Sophie | - | - | 3% | 20% | 42% | 30% | 4% |
| 75 | WEI JoyAnn | 3% | 15% | 30% | 31% | 17% | 4% | - |
| 76 | WANG yining | - | 6% | 29% | 41% | 21% | 3% | |
| 77 | PAUL Lila | - | - | 3% | 17% | 42% | 38% | |
| 78 | SO Catelyn | 1% | 8% | 28% | 39% | 21% | 4% | |
| 79 | YOUNG Audrey | 4% | 20% | 37% | 29% | 9% | 1% | |
| 80 | HENRY Soraya S. | 3% | 20% | 38% | 29% | 9% | 1% | |
| 81 | ZHANG Sophie | 1% | 11% | 32% | 36% | 17% | 3% | |
| 82 | EVANS Madelynn | 8% | 32% | 38% | 18% | 3% | - | |
| 83 | TSUI Natalie | - | 1% | 5% | 21% | 38% | 28% | 7% |
| 84 | COLBY Mercer | 6% | 26% | 37% | 23% | 6% | 1% | - |
| 85 | DAI Olivia | 2% | 15% | 33% | 33% | 14% | 3% | - |
| 86 | BAWA Anahat | 7% | 28% | 37% | 21% | 6% | 1% | - |
| 86 | CHIARELLI Valentina | 1% | 6% | 18% | 31% | 29% | 13% | 2% |
| 88 | YAM Danika | - | 3% | 15% | 31% | 33% | 16% | 3% |
| 89 | MEDVINSKY Alexandra | 2% | 13% | 29% | 32% | 18% | 5% | - |
| 90 | CHANG Audrey | - | 5% | 20% | 34% | 28% | 11% | 1% |
| 91 | OBRADOVIC Ana | - | 3% | 17% | 36% | 31% | 12% | 1% |
| 92 | MCKEE Brynnley | - | 1% | 10% | 29% | 37% | 20% | 3% |
| 92 | DONG Angel | - | 6% | 24% | 38% | 25% | 7% | 1% |
| 94 | FAN Grace | 2% | 12% | 28% | 33% | 19% | 5% | - |
| 95 | SOWERS Lia | 8% | 31% | 37% | 19% | 4% | - | - |
| 96 | LIN Nicole | 4% | 22% | 38% | 27% | 8% | 1% | - |
| 97 | ATTIA Jasmine | 32% | 42% | 21% | 5% | - | - | - |
| 98 | FLATT Sophia | 4% | 20% | 36% | 29% | 10% | 1% | - |
| 99 | ALTIRS Kate | 7% | 28% | 38% | 21% | 4% | - | |
| 100 | NGUYEN Siena | 1% | 11% | 32% | 37% | 17% | 2% | |
| 101 | LIU Yifei | 4% | 20% | 37% | 29% | 9% | 1% | |
| 102 | CHEN Kevy | 6% | 28% | 39% | 22% | 5% | - | |
| 103 | DUDNICK Morgan | 24% | 42% | 26% | 7% | 1% | - | |
| 104 | MUND Ruth | 4% | 21% | 38% | 28% | 8% | 1% | |
| 105 | SCOTT Eve | 3% | 28% | 47% | 19% | 3% | - | |
| 106 | REN Xinling | 2% | 13% | 33% | 35% | 15% | 2% | |
| 107 | TUNG Renee | 16% | 38% | 33% | 12% | 2% | - | |
| 108 | MARYASH Samantha | - | 4% | 18% | 34% | 31% | 12% | 1% |
| 109 | FANG sophie | 2% | 19% | 39% | 29% | 10% | 2% | - |
| 110 | CHAN Jolene | 3% | 20% | 35% | 28% | 11% | 2% | - |
| 111 | KANTIPUDI Shrika | 1% | 6% | 22% | 36% | 27% | 8% | - |
| 112 | ZHENG Valentina | 2% | 15% | 33% | 32% | 15% | 3% | - |
| 113 | LI Victoria | 6% | 27% | 37% | 23% | 7% | 1% | - |
| 114 | HUAI Delilah | 2% | 10% | 26% | 32% | 22% | 7% | 1% |
| 115 | GUVEN Coco | 6% | 24% | 37% | 25% | 7% | 1% | - |
| 115 | DENG Brooke | - | 5% | 22% | 36% | 26% | 9% | 1% |
| 117 | ZOLLER Noelle | 6% | 26% | 38% | 24% | 6% | 1% | - |
| 118 | CHAVAN Arya | 18% | 39% | 30% | 10% | 2% | - | - |
| 119 | HUANG Rachael | 1% | 10% | 28% | 35% | 20% | 5% | - |
| 120 | NAYAK Esha | 1% | 12% | 32% | 35% | 16% | 3% | - |
| 120 | HITOMI Nadya | 2% | 13% | 32% | 34% | 16% | 3% | - |
| 122 | PANIGRAHI Kingsley | - | 11% | 41% | 35% | 11% | 1% | - |
| 123 | BOYNTON Ainsley | 14% | 43% | 31% | 10% | 2% | - | - |
| 124 | GRULICH Rayaana | 2% | 15% | 33% | 32% | 15% | 3% | - |
| 125 | DHAR Layla | 12% | 36% | 35% | 14% | 2% | - | |
| 126 | JUNG Irene | - | < 1% | 5% | 22% | 44% | 29% | |
| 127 | ELNATAN Mica A. | 24% | 42% | 26% | 7% | 1% | - | |
| 127 | BUHAY Kirsten M. | 8% | 32% | 38% | 19% | 4% | - | |
| 129 | STONE Coral | 13% | 35% | 33% | 15% | 3% | - | - |
| 129 | GOLOVITSER Maya | 11% | 40% | 35% | 12% | 2% | - | - |
| 131 | MONTORIO Lily M. | 4% | 21% | 37% | 28% | 9% | 1% | - |
| 132 | PYO Penelope E. | 18% | 38% | 31% | 11% | 2% | - | - |
| 133 | MANN Sophia J. | 2% | 19% | 38% | 30% | 10% | 1% | |
| 134 | HOLMES Sabrina | 38% | 46% | 14% | 2% | - | - | |
| 135 | LEUNG Ashlyn K. | 11% | 34% | 36% | 16% | 3% | - | |
| 136 | BARRIE Sadie Q. | 6% | 43% | 40% | 10% | 1% | - | |
| 136 | CHO Michelle | 13% | 36% | 35% | 14% | 2% | - | |
| 138 | KIM Elyssa | 69% | 27% | 4% | - | - | - | |
| 139 | LEE Lauren | 2% | 14% | 33% | 34% | 15% | 3% | - |
| 140 | BOLTON Eleksi M. | 2% | 14% | 34% | 33% | 14% | 3% | - |
| 141 | YEN Natalie | 2% | 15% | 36% | 33% | 13% | 2% | - |
| 142 | RAMIREZ Mirka A. | 1% | 11% | 31% | 36% | 18% | 3% | - |
| 143 | IYER Arushi | 50% | 39% | 9% | 1% | - | - | - |
| 144 | GOMERMAN Sophia | 3% | 17% | 32% | 30% | 14% | 3% | - |
| 145 | XU Emily T. | 3% | 19% | 36% | 30% | 11% | 2% | - |
| 146 | WUNNAVA Elina | 15% | 37% | 33% | 13% | 2% | - | - |
| 146 | LAGOON Miriam | 13% | 35% | 34% | 15% | 3% | - | - |
| 148 | CHOU Amy R. | 7% | 29% | 38% | 20% | 5% | - | - |
| 149 | CAO Sophie | 40% | 40% | 16% | 3% | - | - | - |
| 150 | SAWANT Asmi | 49% | 39% | 11% | 1% | - | - | - |
| 151 | YAO Rainie | 31% | 42% | 21% | 5% | - | - | - |
| 152 | YAN Lena | 14% | 34% | 32% | 16% | 4% | - | - |
| 153 | JEFFORDS Sophia | 12% | 53% | 29% | 6% | - | - | - |
| 154 | GOSAVI Aabolee | 43% | 41% | 14% | 2% | - | - | - |
| 155 | DANTULURI Shivani | 59% | 33% | 7% | 1% | - | - | |
| 156 | SHEN Jamie | 8% | 26% | 34% | 23% | 8% | 2% | - |
| 157 | CARTER Keely | 39% | 41% | 16% | 3% | - | - | - |
| 158 | DIECK Miranda P. | 44% | 40% | 13% | 2% | - | - | |
| 159 | MERCHANT Aishwarya | 2% | 23% | 40% | 27% | 7% | 1% | |
| 160 | LIN Lauren | 29% | 49% | 19% | 3% | - | - | |
| 160 | KELLY Ella | 73% | 25% | 3% | - | - | - | |
| 162 | REGANTI Sitara | 15% | 37% | 33% | 13% | 2% | - | - |
| 163 | ZHANG Emily | 49% | 38% | 12% | 2% | - | - | - |
| 163 | DANTULURI Shalini | 11% | 34% | 36% | 16% | 3% | - | - |
| 163 | CHOW Caitlyn | 68% | 27% | 4% | - | - | - | - |
| 166 | BRAMMER-GONZALES Xiomara | 73% | 25% | 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.