Meadowlands Expo Center - Secaucus, NJ, 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 | KRASTEV Minna | - | - | - | - | 4% | 27% | 69% |
| 2 | MAKLIN Sofia | - | - | 2% | 10% | 29% | 40% | 20% |
| 3 | LEE Hannah | - | - | - | 2% | 13% | 39% | 45% |
| 3 | FESTA Carina | - | - | 2% | 13% | 35% | 38% | 12% |
| 5 | TSUI Natalie | - | - | 1% | 6% | 22% | 40% | 30% |
| 5 | WU Helen | - | - | 2% | 9% | 28% | 41% | 20% |
| 7 | PAUL Lila | - | - | - | 1% | 10% | 38% | 52% |
| 8 | NATH Trisha | - | - | 2% | 15% | 39% | 36% | 8% |
| 9 | KIM Marley I. | - | - | - | 3% | 17% | 43% | 38% |
| 10 | LU Elaine | - | - | - | 1% | 11% | 39% | 49% |
| 11 | XIAO julie | - | - | 4% | 17% | 35% | 33% | 11% |
| 12 | ALTIRS Kate | - | 1% | 7% | 21% | 34% | 28% | 9% |
| 13 | CHIARELLI Valentina | - | - | 3% | 18% | 45% | 35% | |
| 14 | FEIG Sela | - | 1% | 8% | 24% | 35% | 25% | 7% |
| 15 | GOMERMAN Sophia | - | 2% | 11% | 29% | 35% | 19% | 4% |
| 16 | MCKEE Brynnley | - | 2% | 10% | 28% | 36% | 21% | 4% |
| 17 | KHAN Alissa | - | - | 1% | 7% | 25% | 42% | 25% |
| 18 | ANTHONY Alexia B. | - | - | - | 3% | 16% | 41% | 40% |
| 19 | SO Catelyn | - | - | 3% | 14% | 34% | 36% | 13% |
| 20 | SCHAIBLE Sofia L. | - | - | 2% | 11% | 31% | 40% | 17% |
| 21 | HUANG Rachael | - | 1% | 6% | 22% | 37% | 27% | 7% |
| 22 | SHINCHUK Ellisha | - | - | 2% | 14% | 38% | 37% | 9% |
| 23 | MONTORIO Lily M. | 2% | 12% | 31% | 34% | 17% | 4% | - |
| 24 | CHEN Kevy | - | 1% | 5% | 22% | 41% | 27% | 5% |
| 25 | DONG Angel | - | 1% | 6% | 22% | 40% | 27% | 5% |
| 26 | MEDVINSKY Alexandra | - | 2% | 11% | 28% | 34% | 21% | 5% |
| 27 | HAMBAZAZA Liisa | - | 2% | 11% | 29% | 35% | 19% | 3% |
| 28 | MUND Ruth | 3% | 14% | 30% | 31% | 17% | 4% | - |
| 29 | JEONG Katie | - | 1% | 6% | 26% | 46% | 22% | |
| 30 | KHOST Maeve | 3% | 16% | 32% | 31% | 15% | 4% | - |
| 31 | MALEK Zolie | - | 10% | 28% | 34% | 21% | 6% | 1% |
| 32 | CHEN Ziyi | 7% | 29% | 37% | 21% | 6% | 1% | - |
| 33 | ZHANG Sophie | - | 2% | 11% | 27% | 34% | 21% | 5% |
| 34 | WEI JoyAnn | 1% | 7% | 21% | 32% | 27% | 11% | 2% |
| 35 | LAGOON Miriam | 2% | 14% | 32% | 33% | 16% | 3% | - |
| 36 | HE Lizbeth | - | - | 2% | 11% | 30% | 39% | 19% |
| 37 | NAYAK Esha | - | 5% | 22% | 36% | 27% | 9% | 1% |
| 38 | KONDEV Elizabeth | 1% | 9% | 26% | 35% | 22% | 6% | 1% |
| 39 | CHOU Amy R. | - | 2% | 13% | 31% | 36% | 16% | 2% |
| 40 | SENOGLU Irmak | - | 1% | 8% | 23% | 35% | 26% | 7% |
| 41 | YOUNG Charlotte G. | - | 1% | 7% | 23% | 35% | 26% | 8% |
| 42 | MERCHANT Aishwarya | - | 5% | 22% | 37% | 27% | 8% | 1% |
| 43 | ZHENG Valentina | - | 5% | 19% | 34% | 30% | 11% | 1% |
| 44 | CANSECO Carly | - | 2% | 16% | 38% | 32% | 10% | 1% |
| 45 | KRIVOSHEEV Alexandra | - | - | 2% | 10% | 30% | 39% | 19% |
| 45 | ZHANG Emily | 6% | 27% | 38% | 23% | 6% | 1% | - |
| 47 | SPEARS Mya B | - | - | 5% | 26% | 42% | 23% | 3% |
| 47 | LIU Yifei | 2% | 12% | 30% | 34% | 18% | 4% | - |
| 49 | KNOBEL Sophia | 1% | 12% | 34% | 35% | 16% | 3% | - |
| 50 | DAI Olivia | 1% | 11% | 32% | 35% | 17% | 4% | - |
| 51 | YOUNG Audrey | - | 1% | 9% | 27% | 37% | 22% | 4% |
| 52 | LATYSHAVA Stephanie | 3% | 16% | 33% | 31% | 14% | 3% | - |
| 53 | GUVEN Coco | - | 3% | 16% | 32% | 31% | 15% | 3% |
| 53 | BAIREDDY Maya | 10% | 32% | 36% | 17% | 3% | - | - |
| 55 | KAPLAN Gabriela | 9% | 34% | 39% | 15% | 2% | - | |
| 56 | ZENG Sarah | 1% | 7% | 21% | 33% | 27% | 11% | 1% |
| 57 | ELNATAN Mica A. | - | 11% | 30% | 34% | 19% | 5% | 1% |
| 58 | LOPEZ-ONA Mia | - | 2% | 13% | 31% | 35% | 17% | 2% |
| 59 | CHIANG Melissa | 3% | 19% | 36% | 29% | 11% | 2% | - |
| 60 | KANDADAI Lara | 5% | 23% | 36% | 26% | 9% | 2% | - |
| 61 | HU Anna | 7% | 24% | 34% | 25% | 10% | 2% | - |
| 62 | MARGULIAN Maria | 6% | 31% | 38% | 20% | 5% | 1% | - |
| 63 | PADANILAM Lily | 6% | 34% | 42% | 15% | 2% | - | - |
| 64 | BUSH Bethany | 1% | 11% | 29% | 35% | 19% | 5% | - |
| 65 | MYAT Chloe | 1% | 7% | 28% | 42% | 20% | 3% | |
| 66 | BELEV Christa | - | 4% | 18% | 34% | 30% | 11% | 1% |
| 67 | FREEMAN Armine | 3% | 31% | 43% | 19% | 3% | - | - |
| 68 | CHAVAN Arya | 34% | 42% | 19% | 4% | - | - | - |
| 69 | KALINICHENKO Yekaterina | 9% | 34% | 39% | 16% | 3% | - | |
| 70 | CAO Sophie | 6% | 26% | 38% | 24% | 6% | 1% | - |
| 71 | CHAN Madeleine V. | 6% | 25% | 36% | 24% | 8% | 1% | - |
| 72 | BORGUETA Madison | 7% | 26% | 37% | 23% | 7% | 1% | - |
| 73 | NEUMAN Ella | 7% | 28% | 37% | 21% | 5% | 1% | - |
| 74 | LOO Kaitlyn | - | 4% | 18% | 35% | 30% | 12% | 2% |
| 75 | LI Alexis | 4% | 19% | 36% | 30% | 10% | 1% | - |
| 76 | PROBASCO Leila | 10% | 29% | 35% | 20% | 6% | 1% | - |
| 77 | BAINS Nandini | 8% | 28% | 37% | 21% | 5% | - | - |
| 78 | NAGORNAYA Uliana | 8% | 26% | 34% | 22% | 8% | 1% | - |
| 79 | DHAR Layla | 1% | 11% | 29% | 35% | 19% | 4% | - |
| 80 | CHO-SAYEGH Emily | 5% | 23% | 37% | 25% | 8% | 1% | - |
| 81 | DEHON Inès | 2% | 15% | 33% | 32% | 14% | 3% | - |
| 82 | CHI Claire | 1% | 11% | 32% | 35% | 17% | 3% | - |
| 83 | LIM Alexa J. | 6% | 27% | 36% | 23% | 7% | 1% | - |
| 84 | RANDALL-COLLINS Shea M. | 3% | 18% | 34% | 30% | 12% | 2% | - |
| 85 | BLAKE Anna | 1% | 8% | 23% | 33% | 24% | 9% | 1% |
| 86 | WANG Valerie | 6% | 23% | 34% | 25% | 10% | 2% | - |
| 87 | HORVITZ Jacqueline | 37% | 43% | 17% | 3% | - | - | |
| 88 | PROZUMENT Elizabeth | 35% | 42% | 19% | 4% | - | - | - |
| 89 | AGARWALA Ayvanna | 71% | 25% | 3% | - | - | - | - |
| 90 | RAY Auyona | 11% | 33% | 36% | 17% | 3% | - | - |
| 91 | CHANG Julia | 5% | 27% | 41% | 22% | 4% | - | - |
| 91 | LEE Tammy | 60% | 33% | 6% | 1% | - | - | - |
| 93 | KONNIKOV Esther E. | 29% | 42% | 23% | 6% | 1% | - | - |
| 93 | MAGITSKY Leila | 40% | 41% | 16% | 3% | - | - | - |
| 95 | NAYAK Antara | 82% | 16% | 1% | - | - | - | - |
| 96 | TA-ZHOU Emma | 23% | 41% | 27% | 8% | 1% | - | - |
| 96 | BAO Jingxuan | 65% | 30% | 4% | - | - | - | - |
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.