Ontario Convention Center - Hall A&B - Ontario, 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 | ZHANG XUANYI | - | - | - | 1% | 9% | 39% | 51% |
2 | JIANG Evelyn | - | - | 5% | 25% | 44% | 25% | |
3 | YAM Danika | - | - | 1% | 8% | 30% | 46% | 15% |
3 | WANG Jiayi | - | 2% | 14% | 33% | 34% | 15% | 2% |
5 | LIU Sydney | - | - | - | 1% | 10% | 38% | 52% |
6 | DUDNICK Morgan | - | 1% | 8% | 29% | 43% | 20% | |
7 | LOMOTAN Addison | 2% | 12% | 30% | 34% | 18% | 4% | |
8 | CHEN Elaine | - | 3% | 12% | 26% | 32% | 21% | 5% |
9 | GAUTAM Sahana | - | - | - | 3% | 15% | 41% | 41% |
10 | SUNG Isabella | - | 5% | 22% | 36% | 27% | 9% | 1% |
11 | YUEN Nicole | 2% | 12% | 30% | 34% | 18% | 3% | |
12 | TURIANO Nadelle | 1% | 7% | 21% | 32% | 26% | 11% | 2% |
13 | TONG Laurie | 3% | 18% | 35% | 31% | 11% | 1% | |
14 | MISHEV Lila | 3% | 14% | 29% | 31% | 18% | 5% | 1% |
15 | NING Lynn | - | 5% | 22% | 36% | 27% | 9% | 1% |
16 | OCA Merci | 1% | 12% | 36% | 36% | 13% | 2% | - |
17 | TAN Adelyn | - | - | - | 2% | 12% | 39% | 47% |
18 | DANG Kelia | - | - | - | 3% | 17% | 42% | 38% |
19 | LIAO Jieni | - | 1% | 10% | 29% | 36% | 19% | 3% |
20 | CONG Anne | - | 3% | 16% | 39% | 33% | 8% | |
21 | ARNOLD Hali | - | - | 3% | 20% | 44% | 33% | |
22 | RAGHURAMAN Anishka | - | 1% | 9% | 29% | 39% | 19% | 3% |
23 | LIU kai yin aria | 1% | 6% | 19% | 31% | 27% | 12% | 2% |
24 | GAIKWAD Ashmiee | - | - | 4% | 19% | 38% | 32% | 7% |
25 | BUHAY Kirsten M. | - | 1% | 11% | 34% | 39% | 14% | |
26 | ZHAI AMY | - | 4% | 21% | 40% | 28% | 6% | |
27 | LIN Elaine | - | 2% | 10% | 28% | 39% | 21% | |
28 | LEI Zitong (Meya) | - | - | 2% | 13% | 34% | 38% | 12% |
29 | KIM Saeren | 10% | 32% | 36% | 18% | 4% | - | |
30 | WONG Natalie | 3% | 15% | 32% | 32% | 15% | 3% | |
31 | LONG Jessie | 3% | 18% | 35% | 30% | 11% | 1% | |
32 | LONG Chloe | 1% | 7% | 24% | 38% | 24% | 6% | - |
33 | STONE Coral | - | 5% | 20% | 37% | 30% | 8% | |
34 | LIN Abbey | 6% | 26% | 38% | 23% | 6% | 1% | - |
35 | WONG Cerise | 1% | 10% | 32% | 38% | 17% | 3% | - |
36 | CHANG Annette | 7% | 24% | 33% | 24% | 9% | 2% | - |
37 | MUNGUIA Mila | - | 1% | 10% | 29% | 36% | 20% | 3% |
38 | BAIRD Kaleah | 18% | 42% | 31% | 8% | 1% | - | |
39 | ZHAO Abbie | 1% | 11% | 30% | 35% | 19% | 4% | - |
40 | CAO arissa | 4% | 22% | 38% | 27% | 9% | 1% | - |
41 | HSIEH Lucia | 3% | 18% | 36% | 30% | 11% | 2% | - |
42 | BORTAI Eliza | 1% | 16% | 35% | 32% | 14% | 3% | - |
43 | LIU Hannah | - | 6% | 24% | 36% | 25% | 7% | 1% |
44 | KIM Satie | - | 3% | 14% | 33% | 34% | 14% | 2% |
45 | KIM Alexia | 10% | 37% | 37% | 14% | 2% | - | |
46 | CHAN Jolene | - | - | 3% | 17% | 42% | 37% | |
47 | HWANG Charlotte | 4% | 25% | 41% | 23% | 5% | - | |
48 | CAI Veronica | 25% | 40% | 26% | 8% | 1% | - | |
49 | LIN Ariel | 21% | 40% | 28% | 9% | 1% | - | |
50 | TEYSSIER Katherine | - | 2% | 11% | 25% | 33% | 22% | 6% |
51 | BORDAS HILL Georgiana | - | 2% | 12% | 30% | 35% | 19% | 3% |
52 | YU Stella | 1% | 11% | 32% | 35% | 17% | 4% | - |
53 | SAMPATH Medha | 13% | 42% | 33% | 10% | 1% | - | - |
54 | HAN Emma | 4% | 19% | 35% | 30% | 12% | 2% | |
55 | YU Skylar | 8% | 32% | 40% | 17% | 3% | - | |
56 | WU Chloe | 25% | 42% | 25% | 7% | 1% | - | - |
57 | ASPIRAS Avery | 20% | 43% | 28% | 8% | 1% | - | - |
58 | MORALES Camila Avisac | - | 2% | 11% | 33% | 40% | 14% | 1% |
59 | WU Daisy | 5% | 20% | 32% | 27% | 12% | 3% | - |
60 | DING Jolie | 13% | 37% | 34% | 14% | 2% | - | - |
61 | KIM Alice | 45% | 41% | 12% | 2% | - | - | - |
62 | JUNG Sienna | 48% | 40% | 11% | 1% | - | - | |
62 | KIRBY Skye | 27% | 44% | 23% | 5% | - | - | |
64 | STAPLEY Claire | 32% | 45% | 19% | 4% | - | - | - |
65 | PANCHAL Arya | 49% | 38% | 11% | 2% | - | - | - |
65 | BHAVSAR Vanmayi | 81% | 18% | 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.