Kentucky International Convention Center - Louisville, KY, 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 | JIANG Evelyn | - | 1% | 5% | 18% | 34% | 32% | 11% |
| 2 | GUGALA Hanna | - | - | 1% | 6% | 25% | 43% | 24% |
| 3 | HSU Leah | - | - | 1% | 6% | 24% | 42% | 27% |
| 3 | GAY Sasha | - | 1% | 5% | 20% | 35% | 30% | 10% |
| 5 | ZHANG XUANYI | - | - | - | - | 4% | 27% | 69% |
| 6 | LIN Elaine | - | - | - | 2% | 15% | 42% | 40% |
| 7 | KURAEVA Vasilisa | - | - | - | 4% | 20% | 42% | 34% |
| 8 | YOUNG Charlotte G. | - | - | 1% | 9% | 27% | 40% | 22% |
| 9 | VINOGOROVA Sofiia | - | - | - | 1% | 10% | 38% | 50% |
| 10 | GONG Joy | - | 1% | 5% | 19% | 35% | 30% | 9% |
| 11 | WANG Jiayi | - | 2% | 10% | 27% | 35% | 21% | 5% |
| 12 | WANG Callie | - | - | - | 3% | 16% | 41% | 41% |
| 13 | FAN Alexandria | - | 1% | 8% | 27% | 37% | 22% | 5% |
| 14 | BROWN Aria | - | 1% | 7% | 23% | 39% | 27% | 3% |
| 15 | FUNG Iris | - | 2% | 11% | 29% | 36% | 19% | 3% |
| 16 | TENG EMMA | - | 1% | 6% | 21% | 35% | 28% | 8% |
| 17 | LIU Hannah | - | - | 1% | 7% | 24% | 41% | 28% |
| 18 | PANTALEON-MAZOLA Amari | - | - | - | 4% | 19% | 42% | 34% |
| 19 | CHAN Jolene | - | - | 1% | 11% | 33% | 41% | 14% |
| 20 | BAIK Sarah | 1% | 8% | 25% | 37% | 24% | 5% | |
| 21 | LEOU Korina | - | - | 1% | 6% | 23% | 42% | 28% |
| 22 | CHIARELLI Valentina | - | - | - | 3% | 17% | 43% | 37% |
| 23 | KIM Satie | - | 1% | 8% | 27% | 39% | 22% | 4% |
| 24 | CAI Xinyi | - | - | 1% | 9% | 28% | 41% | 20% |
| 25 | CHOI Charlotte | - | 3% | 21% | 40% | 28% | 8% | 1% |
| 26 | TONG Laurie | - | 9% | 28% | 36% | 21% | 5% | - |
| 27 | KIM Saeren | 2% | 14% | 31% | 32% | 16% | 4% | - |
| 28 | NIU Jessica | - | 2% | 12% | 31% | 35% | 17% | 3% |
| 29 | WONG Natalie | - | 1% | 9% | 25% | 36% | 23% | 5% |
| 30 | HUGHES-WILLIAMS Adelayde | - | - | 4% | 15% | 33% | 35% | 13% |
| 31 | KAUL Tara | - | 5% | 21% | 36% | 28% | 9% | 1% |
| 32 | CASTELO Soleil | - | 5% | 18% | 34% | 29% | 12% | 2% |
| 33 | YUEN Nicole | - | - | 5% | 21% | 44% | 30% | |
| 34 | LEI Zitong (Meya) | - | 1% | 5% | 19% | 35% | 30% | 10% |
| 35 | GAIKWAD Ashmiee | - | 1% | 6% | 22% | 37% | 27% | 6% |
| 36 | REN Katherine | 1% | 10% | 27% | 35% | 21% | 5% | - |
| 37 | HSIEH Lucia | 1% | 7% | 28% | 37% | 21% | 5% | - |
| 38 | XIAÖ Cindy | - | 6% | 22% | 35% | 26% | 9% | 1% |
| 39 | SEVASTOPULO Sahra | 2% | 15% | 35% | 32% | 13% | 2% | - |
| 40 | LIU kai yin aria | - | 1% | 9% | 25% | 35% | 23% | 5% |
| 41 | GONZALEZ Veronika | - | - | 3% | 13% | 31% | 36% | 16% |
| 42 | XU Elaine | 1% | 7% | 26% | 37% | 22% | 6% | 1% |
| 43 | DHAR Rana | - | 9% | 30% | 36% | 20% | 5% | - |
| 44 | ZHANG Ashley | - | 2% | 11% | 28% | 35% | 20% | 4% |
| 45 | MISHEV Lila | - | 4% | 17% | 35% | 32% | 11% | 1% |
| 46 | SUNG Isabella | - | 3% | 15% | 31% | 32% | 15% | 3% |
| 47 | NADKARNI Marisa | 1% | 5% | 19% | 34% | 29% | 11% | 1% |
| 48 | ZHAI AMY | 1% | 10% | 27% | 34% | 21% | 6% | 1% |
| 49 | KANG Ellie | - | 1% | 6% | 22% | 42% | 30% | |
| 50 | LONG Jessie | 2% | 14% | 32% | 34% | 16% | 3% | |
| 51 | CHANG Annette | 1% | 10% | 36% | 37% | 15% | 2% | - |
| 52 | VINOKUR Anita | - | 1% | 8% | 24% | 35% | 25% | 6% |
| 53 | WU Yuwei | - | - | 5% | 20% | 37% | 30% | 8% |
| 54 | CHANG Norah | 1% | 8% | 26% | 35% | 23% | 6% | 1% |
| 55 | IANNUZZI Lucy | 2% | 12% | 29% | 33% | 19% | 5% | 1% |
| 56 | KWON Ava | - | 1% | 8% | 24% | 36% | 25% | 6% |
| 57 | KANIA Brigitte | 28% | 42% | 23% | 6% | 1% | - | - |
| 58 | LAFFY Lily | 1% | 10% | 29% | 35% | 20% | 5% | 1% |
| 59 | DAMBAL Sasha | - | - | 4% | 15% | 33% | 34% | 13% |
| 60 | ZHU Avril | - | 2% | 13% | 32% | 35% | 16% | 2% |
| 61 | SEBASTIAN Ava | 7% | 27% | 36% | 23% | 7% | 1% | |
| 62 | FOSS Persephone | - | 1% | 9% | 30% | 42% | 18% | |
| 63 | HUANG Doris | - | 1% | 8% | 29% | 40% | 20% | 3% |
| 64 | ZHAO Selena | 6% | 25% | 36% | 24% | 8% | 1% | - |
| 65 | HWANG Charlotte | 3% | 15% | 32% | 31% | 15% | 4% | - |
| 66 | HUANG Pierra | 5% | 24% | 38% | 25% | 7% | 1% | |
| 67 | AWAD Royce | - | - | 2% | 11% | 32% | 41% | 14% |
| 68 | HU Anna | - | - | 3% | 13% | 32% | 37% | 15% |
| 69 | LEE Kaitlin | 3% | 16% | 32% | 31% | 15% | 3% | - |
| 70 | OSMINKINA-JONES Kai | - | 1% | 6% | 24% | 39% | 26% | 5% |
| 71 | HEATH Isabella | 3% | 16% | 33% | 31% | 14% | 3% | - |
| 72 | NEMORIN Rei | 1% | 6% | 23% | 35% | 25% | 8% | 1% |
| 73 | CONG Anne | - | - | 2% | 9% | 28% | 39% | 22% |
| 74 | KU Alathea-Joy | - | 1% | 7% | 23% | 37% | 26% | 6% |
| 74 | MACKAY Katherine | - | - | 4% | 18% | 37% | 32% | 9% |
| 76 | HILD Anya | 4% | 19% | 36% | 29% | 11% | 2% | - |
| 77 | BORGUETA Madison | - | 2% | 13% | 32% | 34% | 16% | 2% |
| 78 | DOLEV Rony | 1% | 6% | 21% | 34% | 27% | 10% | 1% |
| 79 | WONG Charlene | - | 5% | 21% | 37% | 27% | 8% | 1% |
| 80 | BONIN Arielle | 18% | 39% | 30% | 11% | 2% | - | - |
| 81 | BERRIOS Catalina | - | 4% | 19% | 36% | 30% | 10% | 1% |
| 82 | BRASSARD Olivia | 3% | 15% | 31% | 32% | 16% | 4% | - |
| 83 | ROBBINS Adele | 25% | 41% | 25% | 8% | 1% | - | - |
| 83 | KIM Grace | 33% | 46% | 18% | 3% | - | - | - |
| 85 | JOHNSON Neema | 3% | 16% | 33% | 31% | 14% | 3% | - |
| 86 | FLEEGER Sophia | 1% | 10% | 29% | 36% | 19% | 4% | - |
| 87 | CHERON Helene | 6% | 25% | 38% | 24% | 6% | 1% | |
| 88 | ZONG Eliane | 20% | 39% | 29% | 10% | 2% | - | |
| 89 | JUNG Sienna | 25% | 42% | 26% | 7% | 1% | - | |
| 90 | OCA Merci | - | 3% | 14% | 30% | 33% | 17% | 3% |
| 91 | SENGUPTA Jia | 1% | 10% | 28% | 34% | 21% | 6% | 1% |
| 92 | YE Madeleine | 2% | 12% | 30% | 34% | 18% | 4% | - |
| 93 | YU Skylar | 1% | 18% | 37% | 31% | 11% | 2% | - |
| 94 | XU Rachel | 20% | 40% | 29% | 10% | 2% | - | - |
| 95 | SUNG Olivia | - | 1% | 7% | 25% | 38% | 24% | 5% |
| 96 | LEE Alyson | - | - | 3% | 13% | 32% | 36% | 16% |
| 97 | PANCHAL Arya | 27% | 45% | 23% | 5% | 1% | - | - |
| 97 | BHAVSAR Vanmayi | 25% | 40% | 26% | 8% | 1% | - | - |
| 99 | CHERUKURI Tanvi | 31% | 42% | 21% | 5% | 1% | - | - |
| 100 | KIM Hyunbi | 8% | 30% | 36% | 20% | 5% | 1% | - |
| 101 | YOON Sela | 26% | 41% | 25% | 7% | 1% | - | - |
| 102 | TABANCAY Ava | 23% | 43% | 27% | 7% | 1% | - | - |
| 103 | LI Tiffany | 8% | 29% | 37% | 20% | 5% | 1% | - |
| 104 | BIESIADA Sophia | 7% | 28% | 36% | 22% | 7% | 1% | - |
| 105 | MEYERSON Michelle | 1% | 9% | 27% | 35% | 22% | 6% | 1% |
| 106 | BRIMMER Bella | 19% | 46% | 27% | 7% | 1% | - | - |
| 107 | BORTAI Eliza | 2% | 16% | 34% | 31% | 14% | 3% | - |
| 108 | YU Stella | - | 5% | 23% | 37% | 26% | 8% | 1% |
| 109 | NANDA Maanika | 7% | 26% | 36% | 23% | 7% | 1% | - |
| 110 | LAUREYNS Ainsley | 3% | 19% | 37% | 29% | 10% | 1% | - |
| 111 | KO Ariel | 14% | 36% | 33% | 14% | 3% | - | - |
| 112 | MUTHAPPAN Sahana | 2% | 14% | 32% | 32% | 16% | 4% | - |
| 112 | STAPLEY Claire | 20% | 40% | 29% | 10% | 2% | - | - |
| 114 | WANG Emily | 19% | 38% | 30% | 11% | 2% | - | - |
| 115 | YADAV Tishya | 4% | 19% | 34% | 28% | 12% | 2% | - |
| 116 | FANG Elena | 45% | 43% | 11% | 1% | - | - | - |
| 117 | ELLINGWOOD Sophia | 34% | 42% | 20% | 4% | - | - | - |
| 118 | KAVZAN Duru | 5% | 24% | 37% | 26% | 7% | 1% | |
| 119 | KIM Grace M. | 17% | 38% | 31% | 12% | 2% | - | - |
| 120 | WONG Cerise | 4% | 19% | 35% | 29% | 11% | 1% | |
| 121 | NGUYEN Summer | 2% | 13% | 30% | 34% | 17% | 3% | - |
| 122 | CAFAGNA Sofia | 8% | 30% | 36% | 20% | 5% | 1% | - |
| 123 | WILFRET Katerina | 22% | 43% | 27% | 7% | 1% | - | - |
| 123 | SIDERI Sophia | 43% | 43% | 12% | 2% | - | - | - |
| 125 | TA-ZHOU Sophia | 15% | 37% | 32% | 13% | 3% | - | - |
| 126 | ESTEVES ZOE | 25% | 51% | 20% | 3% | - | - | - |
| 127 | KIM Hyunji | 15% | 38% | 33% | 12% | 2% | - | - |
| 128 | DUFF Caitlin | 24% | 45% | 24% | 6% | 1% | - | - |
| 129 | PATIL Jyothi | 22% | 43% | 26% | 7% | 1% | - | - |
| 130 | LAPIERRE-PAQUIN Aliksane | 39% | 42% | 16% | 3% | - | - | - |
| 131 | FANG Darcy | 80% | 19% | 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.