Oregon Convention Center - Portland, OR, 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 | KANG Ellie | - | - | - | 1% | 11% | 38% | 50% |
| 2 | FAN Alexandria | - | - | 2% | 11% | 32% | 39% | 15% |
| 3 | LEOU Korina | - | - | - | 2% | 12% | 39% | 47% |
| 3 | SUNG Olivia | - | 1% | 6% | 21% | 37% | 28% | 8% |
| 5 | GAY Sasha | - | - | - | 4% | 21% | 44% | 31% |
| 6 | GAIKWAD Ashmiee | - | - | 3% | 19% | 45% | 33% | |
| 7 | DHAR Rana | - | 1% | 6% | 22% | 37% | 27% | 7% |
| 8 | XU Elaine | - | 4% | 17% | 32% | 31% | 14% | 2% |
| 9 | LIN Elaine | - | - | - | 1% | 9% | 35% | 55% |
| 10 | GONZALEZ Veronika | - | - | - | 4% | 20% | 42% | 33% |
| 11 | CONG Anne | - | - | 2% | 13% | 36% | 39% | 10% |
| 12 | MEYERSON Michelle | - | - | 2% | 12% | 31% | 38% | 17% |
| 13 | FOSS Persephone | - | - | 4% | 16% | 34% | 33% | 12% |
| 14 | SUNG Isabella | - | 2% | 12% | 29% | 35% | 19% | 3% |
| 15 | JIANG Evelyn | - | - | 1% | 8% | 26% | 41% | 24% |
| 16 | WANG Yixuan | - | - | - | - | 2% | 21% | 76% |
| 17 | ZHANG Ashley | - | 1% | 5% | 18% | 34% | 32% | 11% |
| 18 | ZHU Elaine | - | - | 3% | 14% | 32% | 36% | 15% |
| 19 | KWON Ava | - | - | 2% | 11% | 30% | 39% | 18% |
| 20 | ZHU Avril | - | - | 3% | 16% | 34% | 34% | 12% |
| 21 | LEI Zitong (Meya) | - | - | 3% | 16% | 41% | 38% | 2% |
| 22 | TONG Laurie | - | 1% | 5% | 18% | 34% | 31% | 11% |
| 23 | WONG Natalie | - | 1% | 8% | 25% | 37% | 24% | 5% |
| 24 | CHOI Charlotte | - | 1% | 8% | 26% | 36% | 23% | 5% |
| 25 | LIU kai yin aria | - | 1% | 7% | 23% | 37% | 26% | 6% |
| 26 | FUNG Iris | - | - | 2% | 11% | 31% | 38% | 17% |
| 27 | REN Katherine | - | 1% | 8% | 23% | 35% | 25% | 7% |
| 28 | NIU Jessica | - | - | 3% | 16% | 34% | 34% | 12% |
| 29 | CASTELO Soleil | - | 4% | 19% | 37% | 30% | 9% | 1% |
| 30 | NEMORIN Rei | - | - | 5% | 20% | 36% | 29% | 9% |
| 31 | CHANG Annette | - | 5% | 23% | 36% | 26% | 8% | 1% |
| 32 | KIM Saeren | - | 4% | 17% | 33% | 31% | 13% | 2% |
| 33 | LIANG Claire | - | 4% | 15% | 30% | 31% | 16% | 3% |
| 33 | WANG JiaQi | - | 1% | 6% | 21% | 37% | 28% | 6% |
| 35 | PARK Haylie | - | 2% | 12% | 31% | 34% | 18% | 3% |
| 36 | YUEN Nicole | - | - | 2% | 10% | 28% | 38% | 21% |
| 37 | KU Alathea-Joy | - | - | 2% | 12% | 32% | 37% | 16% |
| 38 | MISHEV Lila | - | 2% | 9% | 26% | 36% | 23% | 4% |
| 39 | KAUL Tara | - | 2% | 11% | 26% | 34% | 21% | 5% |
| 40 | RAGHURAMAN Anishka | - | - | 4% | 16% | 36% | 35% | 8% |
| 41 | YU Stella | - | 2% | 12% | 31% | 36% | 16% | 2% |
| 42 | XIAÖ Cindy | - | 3% | 13% | 29% | 33% | 19% | 4% |
| 42 | YU Skylar | - | 4% | 16% | 33% | 32% | 13% | 1% |
| 44 | MAK Jayden | 1% | 8% | 24% | 34% | 24% | 8% | 1% |
| 45 | GONG Joy | - | - | 2% | 12% | 31% | 37% | 17% |
| 46 | WANG Tina | - | 1% | 8% | 25% | 36% | 24% | 6% |
| 47 | ZHANG Olivia | 1% | 9% | 26% | 34% | 23% | 7% | - |
| 48 | DOLEV Rony | - | 1% | 7% | 23% | 37% | 26% | 7% |
| 49 | OSMINKINA-JONES Kai | - | 3% | 14% | 31% | 33% | 17% | 3% |
| 50 | PARK Chloe | 2% | 12% | 31% | 33% | 17% | 4% | - |
| 51 | RUSMEVICHIENTONG Lyla | - | 5% | 23% | 37% | 26% | 8% | 1% |
| 52 | SENGUPTA Jia | - | 1% | 7% | 30% | 44% | 18% | |
| 53 | LEE Kaitlin | - | 4% | 16% | 33% | 32% | 13% | 2% |
| 54 | YE Isabella | - | - | 3% | 16% | 34% | 34% | 12% |
| 55 | HEATH Isabella | 1% | 7% | 23% | 34% | 26% | 9% | 1% |
| 56 | CHOWDHERY Myra | - | 4% | 19% | 35% | 29% | 11% | 1% |
| 57 | LONG Jessie | - | 2% | 11% | 27% | 33% | 21% | 5% |
| 58 | CHENG Zijuan "Grace" | 6% | 23% | 34% | 25% | 10% | 2% | - |
| 59 | HSIEH Lucia | 1% | 8% | 25% | 35% | 23% | 7% | 1% |
| 60 | CHERON Helene | - | 4% | 17% | 33% | 31% | 13% | 2% |
| 61 | HWANG Sophie | - | 2% | 12% | 29% | 34% | 18% | 4% |
| 62 | WANG Keira | 4% | 21% | 38% | 27% | 8% | 1% | - |
| 63 | WU Daisy | - | 2% | 17% | 42% | 31% | 7% | |
| 64 | PEREIRA Izumi | 11% | 47% | 33% | 8% | 1% | - | |
| 65 | YAN Angela | - | 5% | 20% | 38% | 30% | 7% | - |
| 66 | NGUYEN Summer | - | - | 2% | 12% | 33% | 40% | 14% |
| 67 | WANG Emily | 1% | 19% | 45% | 27% | 6% | - | |
| 68 | TA-ZHOU Sophia | 2% | 13% | 29% | 32% | 18% | 5% | 1% |
| 69 | HU Heidi | - | 3% | 14% | 31% | 33% | 15% | 3% |
| 70 | LAUREYNS Ainsley | 2% | 11% | 27% | 33% | 20% | 6% | 1% |
| 71 | HU Ashley | - | 5% | 19% | 33% | 29% | 12% | 2% |
| 72 | DING Jolie | 4% | 21% | 36% | 28% | 10% | 1% | - |
| 73 | LONG Chloe | - | 3% | 14% | 31% | 33% | 16% | 3% |
| 74 | YANG Caroline | - | 3% | 16% | 33% | 32% | 14% | 2% |
| 74 | YU Elizabeth | 1% | 10% | 28% | 35% | 20% | 5% | - |
| 76 | MCCARTHY Nora Louisa Abrous | 15% | 37% | 32% | 13% | 3% | - | - |
| 77 | WONG Charlize | - | 2% | 11% | 27% | 33% | 21% | 5% |
| 78 | GROSSMAN Elizabeth | 4% | 20% | 35% | 29% | 11% | 2% | - |
| 78 | KANIA Brigitte | 2% | 14% | 31% | 32% | 17% | 4% | - |
| 80 | CHENG Anna | 10% | 32% | 37% | 17% | 3% | - | - |
| 81 | DUFF Caitlin | 15% | 35% | 32% | 14% | 3% | - | - |
| 82 | HALPERN Athena | 7% | 26% | 35% | 23% | 8% | 1% | - |
| 83 | GONG suri | 4% | 18% | 33% | 29% | 13% | 3% | - |
| 83 | SAGER Bianca | 30% | 42% | 22% | 5% | 1% | - | - |
| 85 | BRIMMER Bella | 6% | 33% | 38% | 18% | 4% | - | - |
| 86 | MORINAGA Mirai | 1% | 7% | 21% | 32% | 26% | 11% | 2% |
| 87 | SHI Maxine | 6% | 27% | 38% | 22% | 6% | 1% | - |
| 88 | KATZ Emma | 1% | 6% | 19% | 32% | 28% | 12% | 2% |
| 89 | LI Tiffany | - | 5% | 22% | 37% | 27% | 8% | 1% |
| 90 | POWERS Waverly | 3% | 19% | 37% | 29% | 11% | 2% | - |
| 91 | VUDTHITHAMRONG Vivienne | 6% | 23% | 35% | 25% | 9% | 1% | - |
| 92 | CHEN Cindy | 2% | 14% | 31% | 32% | 17% | 4% | - |
| 93 | NG Anson | 1% | 8% | 24% | 33% | 24% | 8% | 1% |
| 94 | CHANG Kaitlyn | - | 7% | 26% | 36% | 23% | 6% | 1% |
| 95 | CHACKO Anne | 28% | 42% | 23% | 6% | 1% | - | - |
| 96 | KAZA Ananya | 35% | 41% | 19% | 4% | - | - | - |
| 97 | FERRIS Madeline | 13% | 34% | 33% | 16% | 4% | - | - |
| 98 | ZHANG Nikki | 2% | 11% | 29% | 34% | 18% | 4% | - |
| 99 | WEI Levana | 12% | 34% | 34% | 16% | 3% | - | - |
| 100 | CORD Sophia | 3% | 17% | 33% | 30% | 13% | 3% | - |
| 101 | WANG April | 17% | 38% | 31% | 12% | 2% | - | - |
| 102 | MALUKI Nia | 5% | 20% | 33% | 27% | 12% | 3% | - |
| 103 | WANG MONA | 6% | 25% | 36% | 24% | 8% | 1% | - |
| 104 | CHEN Chloe | 7% | 26% | 36% | 23% | 7% | 1% | - |
| 105 | JOSHI Samika | 3% | 17% | 34% | 30% | 13% | 3% | - |
| 106 | CONG Catherine | 19% | 40% | 30% | 10% | 1% | - | - |
| 107 | DOSHI Anika | 6% | 25% | 37% | 24% | 8% | 1% | - |
| 108 | GAO Olivia | 18% | 40% | 30% | 10% | 2% | - | - |
| 109 | YAP Anna | 11% | 30% | 33% | 19% | 6% | 1% | - |
| 110 | QIU Abigail | 3% | 15% | 30% | 31% | 16% | 4% | - |
| 111 | LIQUARD Lea | 40% | 44% | 14% | 2% | - | - | - |
| 112 | DUDNICK Caitlin | 12% | 35% | 35% | 15% | 3% | - | - |
| 113 | FAN Tina | 1% | 7% | 22% | 34% | 26% | 9% | 1% |
| 114 | CHIU Philippa | 18% | 38% | 30% | 12% | 2% | - | - |
| 114 | WHELAN Quinn | 6% | 26% | 37% | 23% | 7% | 1% | - |
| 116 | FAN Yutong | 34% | 43% | 19% | 4% | - | - | - |
| 117 | VARAH Alaia | 1% | 11% | 28% | 33% | 20% | 6% | 1% |
| 118 | BAO Amelia | 11% | 36% | 35% | 14% | 3% | - | - |
| 119 | CAI Joanna | 2% | 13% | 30% | 33% | 18% | 4% | - |
| 120 | LIU Isabel | 19% | 41% | 29% | 9% | 1% | - | - |
| 121 | KAZA Aditi | 33% | 43% | 19% | 4% | - | - | - |
| 122 | YANG Felicia | 5% | 24% | 37% | 25% | 8% | 1% | - |
| 123 | LI Bernadette | 66% | 30% | 4% | - | - | - | |
| 124 | KARAVAS Lucy | 23% | 41% | 27% | 8% | 1% | - | - |
| 124 | BACKES Anastasia | 14% | 40% | 33% | 11% | 2% | - | - |
| 124 | LI Meredith | 1% | 12% | 34% | 35% | 15% | 3% | - |
| 127 | ESTEVES ZOE | 15% | 34% | 32% | 15% | 4% | - | - |
| 128 | SON Ellie | 61% | 32% | 6% | 1% | - | - | - |
| 129 | HILE Violet | 21% | 46% | 26% | 6% | 1% | - | - |
| 129 | BRENNAN Annabelle | 6% | 25% | 37% | 24% | 7% | 1% | - |
| 131 | TABANCAY Ava | 47% | 38% | 13% | 2% | - | - | - |
| 132 | ARVIND Heera | 16% | 36% | 31% | 13% | 3% | - | - |
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.