Los Angeles Convention Center - Los Angeles, CA, 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 | FOX-GITOMER Chloe N. | - | - | - | < 1% | 3% | 27% | 70% |
| 2 | POSSICK Lola P. | - | - | - | - | 4% | 26% | 70% |
| 3 | ANDRES Charmaine G. | - | - | 2% | 12% | 40% | 46% | |
| 3 | KOVACS Sophia | - | - | - | - | 2% | 20% | 77% |
| 5 | SKARBONKIEWICZ Magda | - | - | - | - | - | 9% | 91% |
| 6 | LU Vivian Y. | - | - | - | 1% | 9% | 36% | 53% |
| 7 | TSUI Natalie | - | 1% | 5% | 17% | 34% | 32% | 11% |
| 8 | ZHANG XUANYI | - | 1% | 8% | 22% | 34% | 26% | 8% |
| 9 | CHAMBERLAIN Maia C. | - | - | - | - | 2% | 26% | 72% |
| 10 | ANTHONY Alexia B. | - | 1% | 5% | 20% | 35% | 30% | 9% |
| 11 | NATH Trisha | - | - | 3% | 18% | 41% | 35% | 2% |
| 12 | JUNG Irene | - | 1% | 9% | 30% | 41% | 19% | |
| 13 | MALEK Zolie | 1% | 8% | 26% | 37% | 23% | 4% | |
| 14 | JEONG Katie | 2% | 13% | 33% | 35% | 14% | 2% | |
| 15 | FEIG Sela | - | 2% | 11% | 26% | 33% | 22% | 5% |
| 15 | GHAYALOD reya | 1% | 7% | 26% | 37% | 24% | 5% | - |
| 17 | HILD Nisha | - | - | 1% | 7% | 25% | 42% | 26% |
| 18 | KHAN Alissa | 2% | 12% | 29% | 33% | 18% | 5% | - |
| 19 | FAVO Isabella | 5% | 25% | 39% | 25% | 6% | 1% | |
| 20 | FESTA Carina | - | 3% | 16% | 38% | 34% | 10% | |
| 21 | VADASZ Ibla P. | - | 3% | 15% | 37% | 35% | 10% | |
| 22 | KIM Marley I. | 2% | 15% | 39% | 37% | 7% | ||
| 23 | MIKA Veronica | - | - | - | 4% | 17% | 41% | 38% |
| 24 | SCHMIDT Isabel | - | 2% | 11% | 29% | 36% | 19% | 2% |
| 25 | MANN Sophia J. | - | 4% | 17% | 34% | 32% | 12% | 1% |
| 25 | ZOLLER Noelle | 9% | 31% | 37% | 19% | 4% | - | - |
| 27 | SHEARER Natalie E. | - | - | 4% | 19% | 42% | 35% | |
| 28 | BEVACQUA Aria F. | - | 1% | 5% | 20% | 37% | 30% | 8% |
| 29 | YOUNG Charlotte G. | 1% | 9% | 25% | 35% | 24% | 6% | - |
| 30 | PAUL Lila | - | 1% | 5% | 23% | 44% | 27% | |
| 31 | LEOU Korina | 14% | 38% | 34% | 13% | 2% | - | |
| 32 | MEDVINSKY Alexandra | 6% | 22% | 34% | 26% | 10% | 2% | - |
| 33 | WILLIAMS Jadeyn E. | - | - | - | - | 6% | 32% | 62% |
| 34 | ATTIA Jasmine | 7% | 30% | 41% | 19% | 2% | ||
| 35 | HUAI Delilah | - | 5% | 22% | 40% | 27% | 6% | |
| 36 | LAURI Keira | 1% | 13% | 33% | 34% | 16% | 3% | - |
| 37 | FERNANDEZ Martina | - | 3% | 13% | 28% | 33% | 19% | 4% |
| 38 | GAUTAM Sahana | 2% | 13% | 29% | 32% | 18% | 5% | 1% |
| 39 | STAPLETON Lindsay K. | - | 1% | 8% | 24% | 37% | 26% | 5% |
| 40 | KER Grace | - | 3% | 15% | 34% | 33% | 14% | 2% |
| 41 | LIGH Erenei J. | 1% | 6% | 23% | 38% | 27% | 6% | |
| 42 | LEE Hannah | - | 1% | 9% | 29% | 42% | 19% | |
| 43 | LIU Sydney | 1% | 7% | 23% | 36% | 26% | 8% | - |
| 44 | ZENG Sarah | 1% | 10% | 26% | 33% | 22% | 7% | 1% |
| 45 | TSE Angelina | - | 5% | 19% | 35% | 29% | 10% | 1% |
| 45 | MAKLIN Sofia | 2% | 13% | 32% | 35% | 16% | 2% | - |
| 47 | WANG Callie | 3% | 16% | 31% | 30% | 16% | 4% | - |
| 48 | TONG Kunling | - | - | 3% | 15% | 38% | 37% | 6% |
| 49 | LIU Hannah | 7% | 27% | 38% | 23% | 6% | 1% | - |
| 50 | MCKEE Brynnley | - | 3% | 15% | 36% | 36% | 10% | |
| 51 | LIU Sophie | - | - | 3% | 16% | 42% | 39% | |
| 52 | WEI JoyAnn | 4% | 24% | 41% | 24% | 6% | 1% | |
| 53 | DAI Olivia | 7% | 31% | 38% | 19% | 4% | - | |
| 54 | SHEALY Maggie | - | - | - | 2% | 11% | 38% | 50% |
| 55 | CHIARELLI Valentina | - | 2% | 14% | 34% | 37% | 13% | - |
| 56 | HSU Leah | 7% | 26% | 35% | 23% | 7% | 1% | - |
| 57 | OISHI Megumi | - | - | 1% | 8% | 32% | 48% | 10% |
| 58 | WANG yining | 2% | 12% | 29% | 33% | 18% | 4% | - |
| 59 | LEE Alyson | 10% | 33% | 35% | 18% | 4% | - | - |
| 60 | LI Alexis | 12% | 39% | 34% | 13% | 2% | - | - |
| 61 | GUGALA Hanna | 1% | 7% | 23% | 36% | 26% | 8% | - |
| 62 | WANG Gloria Ruoyan | 3% | 15% | 32% | 31% | 15% | 3% | - |
| 63 | DELSOIN Chelsea C. | - | 1% | 7% | 34% | 59% | ||
| 64 | CHEN Elaine | 23% | 42% | 27% | 7% | 1% | - | |
| 65 | WANG Elysia | - | 4% | 20% | 38% | 29% | 8% | |
| 66 | BOIS Adele | - | 2% | 12% | 35% | 38% | 14% | |
| 67 | CHAN Jolene | 5% | 20% | 34% | 27% | 11% | 2% | - |
| 68 | YANG Angelina LeLe | - | - | 3% | 12% | 30% | 37% | 18% |
| 69 | FUNG Iris | 17% | 39% | 32% | 11% | 2% | - | - |
| 70 | SAYLES Nina R. | - | - | 5% | 25% | 44% | 26% | |
| 71 | DHAR Rana | 20% | 42% | 29% | 8% | 1% | - | |
| 72 | DONG Angel | 14% | 36% | 34% | 14% | 2% | - | |
| 73 | MACKAY Katherine | 6% | 25% | 37% | 24% | 7% | 1% | |
| 74 | DANTULURI Shalini | 6% | 27% | 39% | 22% | 5% | - | |
| 75 | LU Elaine | - | 1% | 6% | 24% | 40% | 25% | 3% |
| 76 | JOHNSON Dagny L. | - | 5% | 21% | 36% | 28% | 9% | 1% |
| 77 | VINOGOROVA Sofiia | 2% | 11% | 28% | 34% | 20% | 5% | - |
| 78 | JOHNSON Lydia | 1% | 8% | 28% | 37% | 21% | 5% | - |
| 79 | GOLOVITSER Maya | 7% | 29% | 38% | 20% | 5% | 1% | - |
| 80 | NAYAK Esha | 18% | 38% | 30% | 12% | 2% | - | - |
| 80 | YANG Lea | 2% | 10% | 26% | 33% | 22% | 7% | 1% |
| 82 | PANTALEON-MAZOLA Amari | 2% | 11% | 28% | 35% | 20% | 5% | - |
| 83 | MUND Ruth | 2% | 13% | 29% | 32% | 18% | 5% | - |
| 84 | SHI Cathleen | - | 2% | 8% | 23% | 34% | 25% | 7% |
| 85 | LIN Elaine | 23% | 44% | 27% | 6% | - | ||
| 86 | BARROSO Isabela | 11% | 32% | 34% | 18% | 5% | 1% | - |
| 87 | TAN Adelyn | 5% | 26% | 38% | 24% | 7% | 1% | - |
| 88 | HUANG Rachael | 5% | 23% | 38% | 26% | 7% | 1% | - |
| 88 | CONG Anne | 6% | 23% | 34% | 25% | 9% | 2% | - |
| 90 | LOMOTAN Addison | 12% | 32% | 34% | 17% | 4% | - | - |
| 91 | WONG Natalie | 17% | 38% | 32% | 12% | 2% | - | |
| 92 | COLTER Aurora | 8% | 29% | 38% | 21% | 5% | - | |
| 93 | KIM Satie | 38% | 42% | 17% | 3% | - | - | |
| 94 | MARTURANO Bridget H. | - | 1% | 8% | 25% | 37% | 23% | 5% |
| 95 | BUSH Bethany | 17% | 37% | 31% | 13% | 3% | - | - |
| 96 | FEARNS Zara A. | - | 1% | 6% | 22% | 40% | 27% | 4% |
| 97 | CASTELO Soleil | 47% | 39% | 12% | 2% | - | - | - |
| 98 | ALFARACHE Gabriella C. | 2% | 12% | 31% | 35% | 17% | 3% | - |
| 98 | CHAVAN Arya | 7% | 24% | 34% | 24% | 9% | 1% | - |
| 100 | SCHAIBLE Sofia L. | 12% | 31% | 34% | 18% | 5% | 1% | - |
| 100 | SCHIMINOVICH Sophia I. | - | 1% | 4% | 16% | 33% | 33% | 13% |
| 100 | DHAR Layla | 3% | 17% | 33% | 31% | 14% | 3% | - |
| 103 | NGUYEN Siena | 2% | 13% | 30% | 32% | 18% | 5% | 1% |
| 104 | TABANGAY Heartlyn | 1% | 7% | 24% | 38% | 26% | 5% | - |
| 105 | CHRISTOTHOULOU Olympia C. | 2% | 11% | 31% | 36% | 17% | 3% | - |
| 106 | OCA Merci | 34% | 42% | 19% | 4% | - | - | - |
| 107 | MERCHANT Aishwarya | 5% | 25% | 37% | 24% | 7% | 1% | - |
| 108 | WALLER London | 15% | 37% | 33% | 13% | 2% | - | - |
| 109 | SCOTT Eve | 1% | 10% | 27% | 34% | 21% | 6% | - |
| 110 | LIU kai yin aria | 28% | 45% | 23% | 4% | - | - | |
| 111 | VESTEL Mira B. | - | 1% | 9% | 30% | 41% | 19% | |
| 112 | CHOI Charlotte | 20% | 42% | 29% | 8% | 1% | - | |
| 113 | ERIKSON Kira R. | - | 1% | 6% | 20% | 35% | 29% | 9% |
| 113 | BUHAY Kirsten M. | 20% | 37% | 29% | 11% | 2% | - | - |
| 113 | WANG Jiayi | 22% | 40% | 28% | 9% | 1% | - | - |
| 116 | LIN Nicole | 1% | 5% | 18% | 32% | 29% | 13% | 2% |
| 116 | NG Sophia | 29% | 42% | 22% | 6% | 1% | - | - |
| 118 | DAMBAL Sasha | 9% | 30% | 37% | 19% | 4% | - | - |
| 119 | CALLAHAN Chase J. | 1% | 9% | 28% | 37% | 21% | 4% | - |
| 120 | MOZHAEVA MARIA | - | 1% | 8% | 26% | 38% | 24% | 4% |
| 121 | LEI Zitong (Meya) | 10% | 31% | 35% | 19% | 5% | 1% | - |
| 122 | LIM Jaslene | 1% | 6% | 21% | 35% | 28% | 9% | 1% |
| 123 | LO Chloe | 12% | 35% | 35% | 15% | 3% | - | - |
| 124 | XU Emily T. | 16% | 39% | 32% | 11% | 2% | - | |
| 124 | HAMMERSTROM Aria | 9% | 33% | 38% | 17% | 3% | - | |
| 124 | XIONG Haojiao | 1% | 11% | 31% | 37% | 17% | 3% | |
| 127 | HALPERIN Elizabeth H. | 13% | 36% | 34% | 14% | 3% | - | |
| 128 | XIE Nora | 22% | 44% | 28% | 6% | - | ||
| 129 | DIECK Miranda P. | 16% | 38% | 32% | 12% | 2% | - | - |
| 130 | YUEN Nicole | 23% | 44% | 26% | 6% | 1% | - | |
| 131 | UEMOTO Lynn | 46% | 40% | 12% | 2% | - | - | - |
| 132 | HU Michelle | 5% | 21% | 33% | 27% | 11% | 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.