Huntington Convention Center of Cleveland - Cleveland, OH, 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 | KIM Catherine | - | - | - | - | - | 7% | 93% |
| 2 | DING Lilac | - | - | 3% | 14% | 32% | 35% | 15% |
| 3 | SEVASTOPULO Sahra | - | 2% | 10% | 29% | 37% | 19% | 3% |
| 3 | YU Stella | - | - | 1% | 6% | 24% | 42% | 27% |
| 5 | CHEN Elaine | - | - | 1% | 7% | 26% | 44% | 22% |
| 6 | WONG Cerise | - | 2% | 11% | 29% | 35% | 19% | 4% |
| 7 | MOTOVA Masha | 2% | 12% | 29% | 33% | 18% | 5% | - |
| 8 | YANG Caroline | - | 3% | 16% | 35% | 34% | 12% | - |
| 9 | YU Skylar | - | 1% | 7% | 24% | 41% | 27% | |
| 10 | YE Isabella | - | 2% | 10% | 27% | 35% | 22% | 5% |
| 11 | LITTLE Avery | - | - | 4% | 21% | 44% | 31% | |
| 12 | LOMOTAN Addison | - | 1% | 10% | 28% | 36% | 20% | 4% |
| 13 | NANDA Maanika | - | 1% | 6% | 24% | 39% | 25% | 5% |
| 14 | HU Alicia | - | 1% | 5% | 19% | 36% | 30% | 9% |
| 15 | DING Jolie | 12% | 35% | 35% | 15% | 3% | - | |
| 16 | HUGHES-WILLIAMS Adelayde | - | 1% | 10% | 33% | 40% | 16% | |
| 17 | STADNIK Emilia | - | 1% | 5% | 19% | 35% | 31% | 10% |
| 18 | HWANG Charlotte | - | - | 1% | 8% | 26% | 41% | 23% |
| 19 | MYAT Chloe | - | 1% | 10% | 34% | 40% | 15% | |
| 20 | CHERON Helene | - | 5% | 21% | 37% | 28% | 8% | 1% |
| 21 | ROSTHOLDER Hannah | - | 1% | 13% | 37% | 35% | 12% | 1% |
| 22 | VATS Ishita | - | 4% | 16% | 31% | 31% | 15% | 3% |
| 23 | HILD Anya | - | 3% | 16% | 35% | 32% | 12% | 2% |
| 24 | KO Ariel | 1% | 10% | 27% | 35% | 22% | 5% | |
| 25 | JACHYMIAK Emilia | 1% | 9% | 25% | 35% | 24% | 6% | |
| 26 | TENG Christine Renmei | - | - | 1% | 7% | 28% | 43% | 21% |
| 27 | PARK Chloe | - | - | 3% | 14% | 33% | 36% | 13% |
| 28 | JOSHI Samika | 1% | 11% | 29% | 33% | 19% | 5% | 1% |
| 29 | MAJEWSKA Maria | - | - | 3% | 16% | 39% | 37% | 4% |
| 30 | GUO Daisy | - | 5% | 21% | 37% | 28% | 8% | 1% |
| 31 | CHERUKURI Tanvi | 3% | 15% | 32% | 32% | 16% | 3% | |
| 32 | SUZUKI HAN Emma Yukino | - | 1% | 6% | 22% | 38% | 27% | 6% |
| 33 | CAFAGNA Sofia | - | - | 8% | 30% | 40% | 20% | 3% |
| 34 | STAPLETON Lindsay K. | - | - | - | - | 1% | 16% | 83% |
| 35 | YOUNG Sienna | - | 4% | 17% | 35% | 33% | 10% | 1% |
| 36 | KU Chloe | - | - | 3% | 14% | 32% | 36% | 15% |
| 37 | OH Chloe | - | 4% | 16% | 32% | 32% | 14% | 2% |
| 38 | NIU Jessica | - | 8% | 28% | 36% | 21% | 6% | 1% |
| 39 | WANG Tina | - | 1% | 10% | 33% | 40% | 16% | |
| 40 | YADAV Tishya | - | - | - | 3% | 16% | 42% | 39% |
| 41 | SMITH Genevieve | 2% | 14% | 32% | 33% | 15% | 3% | - |
| 42 | ZHAO ZEMEI | - | - | 5% | 19% | 37% | 31% | 8% |
| 43 | DUDNICK Morgan | - | - | 2% | 10% | 27% | 39% | 22% |
| 44 | MATSUO Kei | - | - | - | 1% | 12% | 44% | 42% |
| 45 | KAYA Lara | - | 1% | 7% | 23% | 36% | 26% | 6% |
| 46 | LAUREYNS Ainsley | - | 3% | 13% | 29% | 33% | 18% | 4% |
| 47 | GOEL Lineysha | - | 4% | 17% | 35% | 31% | 11% | 1% |
| 48 | WANG MONA | - | - | 5% | 21% | 39% | 29% | 6% |
| 49 | HAM Elizabeth | 5% | 24% | 36% | 24% | 8% | 1% | - |
| 50 | CHAMI Lana | - | - | 3% | 13% | 32% | 37% | 16% |
| 51 | KIM Hyunbi | 19% | 40% | 30% | 10% | 1% | - | |
| 52 | PALMIERI Giuliana M. | 1% | 8% | 24% | 35% | 25% | 7% | |
| 53 | TA-ZHOU Sophia | 7% | 26% | 36% | 23% | 7% | 1% | |
| 54 | BABB Virginia | 6% | 25% | 37% | 24% | 7% | 1% | - |
| 55 | KANG Soeun | - | - | 1% | 5% | 20% | 42% | 33% |
| 56 | ISBERG Natalie | - | - | - | 5% | 22% | 44% | 29% |
| 57 | XU Elaine | - | - | - | 5% | 24% | 44% | 26% |
| 58 | KIM Kailey | - | - | 2% | 10% | 30% | 42% | 17% |
| 59 | CHEN Victoria | 1% | 13% | 39% | 34% | 12% | 1% | |
| 60 | HU Heidi | - | 2% | 11% | 30% | 36% | 18% | 3% |
| 61 | SCHOON REBECCA | - | 12% | 32% | 34% | 17% | 4% | - |
| 62 | TONG Laurie | - | 1% | 8% | 25% | 36% | 24% | 6% |
| 63 | WONG Lucia | 17% | 38% | 31% | 12% | 2% | - | - |
| 64 | ERPELDING Emily | 16% | 36% | 32% | 14% | 3% | - | |
| 65 | ZHANG Wuxin | 8% | 27% | 36% | 22% | 7% | 1% | |
| 66 | PRAXL Alexa R. | - | - | - | 2% | 15% | 41% | 42% |
| 67 | MERRITT Annabelle | 1% | 8% | 25% | 35% | 24% | 7% | 1% |
| 68 | ZHANG Ashley | - | 2% | 11% | 28% | 35% | 20% | 4% |
| 69 | JUNG Sienna | 1% | 13% | 34% | 34% | 15% | 3% | - |
| 70 | HU Sophia | 14% | 34% | 33% | 15% | 4% | - | - |
| 71 | DESAUTELS Alexandra | 1% | 7% | 26% | 37% | 24% | 5% | - |
| 72 | CHA Jungyun | 9% | 31% | 37% | 19% | 4% | - | - |
| 73 | MORINAGA Mirai | 1% | 13% | 35% | 33% | 14% | 2% | - |
| 74 | WANG Chloe | 1% | 9% | 29% | 37% | 20% | 4% | - |
| 75 | LIM Eunice | 1% | 10% | 29% | 36% | 20% | 4% | - |
| 75 | CHAN Isla | 8% | 39% | 37% | 14% | 2% | - | - |
| 77 | ALMEDA Galina | 1% | 12% | 36% | 34% | 14% | 2% | - |
| 78 | YANG Selina | 1% | 8% | 26% | 37% | 23% | 5% | - |
| 79 | LIAO Audrey | 13% | 35% | 33% | 15% | 3% | - | - |
| 80 | GISCHLER Mila | 12% | 34% | 35% | 16% | 3% | - | - |
| 81 | PEREIRA Izumi | - | 5% | 17% | 32% | 30% | 14% | 2% |
| 82 | WANG Emily | 15% | 38% | 32% | 12% | 2% | - | - |
| 83 | WU Harper | 6% | 26% | 37% | 24% | 7% | 1% | - |
| 84 | BHAVSAR Vanmayi | 2% | 16% | 33% | 31% | 14% | 3% | - |
| 84 | LIU Teresa | 2% | 12% | 29% | 33% | 19% | 5% | - |
| 86 | EJIOGU Adaugo | - | 4% | 20% | 37% | 28% | 9% | 1% |
| 87 | ZENG Jiawen | 18% | 42% | 30% | 9% | 1% | - | - |
| 88 | NEDOPAKA Kateryna | - | 1% | 9% | 29% | 42% | 18% | |
| 89 | PARK Gabriella | 7% | 26% | 36% | 23% | 7% | 1% | |
| 90 | LAI Karen | 3% | 17% | 36% | 32% | 11% | 1% | |
| 91 | LI Tiffany | 1% | 9% | 26% | 35% | 22% | 7% | 1% |
| 92 | DUONG Esther | - | - | 3% | 15% | 35% | 35% | 12% |
| 93 | TESTROET Aubrey | - | - | 1% | 8% | 26% | 40% | 24% |
| 94 | KIM isabel | 4% | 19% | 33% | 28% | 13% | 3% | - |
| 95 | CORPUS Hannah | 3% | 17% | 33% | 30% | 13% | 3% | - |
| 96 | PARK Haylie | - | 1% | 10% | 30% | 39% | 19% | 1% |
| 96 | KIM Jodie | 14% | 41% | 33% | 11% | 2% | - | - |
| 98 | MCCARTHY Nora Louisa Abrous | 4% | 19% | 35% | 30% | 11% | 1% | - |
| 99 | CONVERSO-PARSONS Maia | - | 8% | 38% | 37% | 14% | 2% | - |
| 100 | SONI Ruhee | 17% | 36% | 31% | 13% | 3% | - | - |
| 101 | ONO Lisa | 10% | 30% | 35% | 19% | 5% | 1% | - |
| 102 | YERENKOVA Ameliia | - | 2% | 11% | 28% | 35% | 20% | 4% |
| 103 | FANG Lauren | 19% | 39% | 30% | 11% | 2% | - | - |
| 104 | LEIGH Adalene | 7% | 26% | 36% | 24% | 7% | 1% | |
| 105 | WANG JiaQi | 1% | 6% | 21% | 35% | 29% | 9% | |
| 106 | LIU Stephanie | 13% | 48% | 31% | 7% | 1% | - | |
| 107 | LIANG Claire | 6% | 26% | 38% | 24% | 6% | 1% | |
| 108 | BAIRD Kaleah | 7% | 25% | 35% | 23% | 8% | 1% | - |
| 109 | MOROAICA Nsheka | 37% | 41% | 18% | 4% | - | - | - |
| 110 | TAMARO Allie | 1% | 9% | 26% | 35% | 22% | 6% | 1% |
| 110 | JEON Kristen | 45% | 41% | 12% | 2% | - | - | - |
| 112 | ALSHAARAWI Sofia | 10% | 31% | 36% | 18% | 4% | - | - |
| 113 | FANG Elena | 8% | 34% | 37% | 17% | 3% | - | - |
| 114 | CRONIN Kayla H. | 17% | 38% | 31% | 11% | 2% | - | - |
| 114 | GUPTA Kanak | 24% | 57% | 17% | 2% | - | - | - |
| 116 | JAJRA Avni | 16% | 38% | 31% | 12% | 2% | - | - |
| 117 | KIM Hyunseo | - | 9% | 27% | 35% | 22% | 6% | 1% |
| 118 | TASSONE Charlie | 5% | 24% | 36% | 25% | 9% | 1% | - |
| 119 | MADDISON Erica | 62% | 33% | 5% | - | - | - | |
| 120 | JOHNSTON Sabrina | 16% | 37% | 32% | 12% | 2% | - | - |
| 121 | CHU-NAFPLIOTIS Nyssa | 31% | 43% | 21% | 5% | - | - | - |
| 122 | BARCZAY Sara E. | 4% | 18% | 34% | 30% | 13% | 2% | |
| 123 | SIDERI Sophia | 19% | 39% | 30% | 10% | 2% | - | - |
| 123 | MCCLANAHAN Camille | 37% | 41% | 18% | 4% | - | - | - |
| 125 | MUTHAPPAN Sahana | < 1% | 5% | 18% | 33% | 30% | 12% | 2% |
| 126 | GERALDINO Sofia | 86% | 13% | 1% | - | - | - | - |
| 126 | BADDEPUDI Sreenika | 59% | 37% | 4% | - | - | - | - |
| 128 | LYNCH Vivian | 51% | 38% | 10% | 1% | - | - | - |
| 129 | FOISSET Camille | 66% | 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.