San Joaquin County Fairgrounds - Stockton, 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 | CHAN Mila | - | - | - | - | 1% | 15% | 84% |
2 | ZHOU Joi | - | - | - | - | 1% | 13% | 87% |
3 | CHANG Lydia | - | - | - | - | 1% | 14% | 86% |
3 | XIA Isabella | - | - | - | 3% | 16% | 41% | 39% |
5 | TEWARI Amaira | - | - | 3% | 14% | 37% | 40% | 6% |
6 | NICOLETTI Thea | - | 1% | 7% | 25% | 41% | 25% | 2% |
7 | ARYA Leela | - | 1% | 7% | 25% | 41% | 25% | |
8 | YU Xintong | - | 6% | 25% | 38% | 24% | 5% | |
9 | YU Sophie | - | - | - | - | 3% | 24% | 73% |
10 | MIYOSHI Kylie | - | - | - | 6% | 32% | 62% | |
11 | HOM Emma | - | 4% | 18% | 36% | 32% | 9% | |
12 | KIM Natalie | - | 2% | 11% | 32% | 38% | 17% | |
13 | AHN Hayley | - | 1% | 5% | 19% | 36% | 31% | 8% |
14 | TIAN Claire | 4% | 19% | 34% | 29% | 12% | 2% | - |
15 | WANG Ellen | 1% | 10% | 31% | 38% | 17% | 2% | |
16 | PAWAR Sanvi | 1% | 11% | 33% | 36% | 17% | 3% | - |
17 | KIM Ines | 1% | 7% | 24% | 36% | 24% | 7% | 1% |
18 | KHANAL Sarah | - | - | 1% | 9% | 36% | 49% | 5% |
19 | DEJOY Leilah | - | 3% | 16% | 33% | 32% | 13% | 2% |
20 | JOESUF Thea | - | 4% | 19% | 39% | 31% | 5% | |
21 | IRELAND Moira | - | 5% | 21% | 35% | 29% | 9% | - |
21 | HSU Rachel | - | - | - | 3% | 18% | 42% | 36% |
23 | ARUNKISHORE Dakshina | - | - | 3% | 15% | 35% | 36% | 11% |
24 | LUO Olivia | 1% | 10% | 28% | 36% | 20% | 4% | - |
25 | ZALTZMAN Maya | 1% | 6% | 20% | 34% | 28% | 10% | 1% |
26 | KO Adeline | 3% | 16% | 33% | 31% | 14% | 3% | - |
27 | ZHANG Annabelle | 1% | 6% | 23% | 36% | 26% | 8% | - |
28 | LAM Dorris Yandor | - | 2% | 13% | 33% | 37% | 15% | 1% |
29 | LI Audrey | - | 5% | 23% | 38% | 27% | 7% | |
30 | YANG Byanca | 12% | 35% | 36% | 15% | 2% | - | |
31 | SOUSA Lauren | 7% | 26% | 38% | 23% | 6% | - | - |
32 | KIM Chloe | 24% | 42% | 26% | 7% | 1% | - | |
33 | GOWDA Adisha | 3% | 18% | 36% | 30% | 11% | 1% | |
34 | HAYLETT Emily | - | 4% | 19% | 37% | 31% | 9% | |
35 | TANG Clementine | 15% | 42% | 31% | 10% | 1% | - | |
36 | FENG Sophia | 9% | 31% | 37% | 19% | 4% | - | - |
37 | STERNAD Pia | 1% | 8% | 26% | 36% | 23% | 6% | - |
38 | ALEKSANDROVA Miroslava | - | 3% | 14% | 35% | 38% | 11% | - |
39 | YU-TAN Claire | 3% | 25% | 40% | 25% | 7% | 1% | - |
40 | MCLANAHAN Jasmine | 1% | 12% | 31% | 35% | 18% | 3% | |
41 | DONG Nancy | 5% | 24% | 37% | 25% | 8% | 1% | - |
42 | LEE Clara | 37% | 41% | 18% | 4% | - | - | - |
43 | THERIOT Reagan | 7% | 27% | 36% | 23% | 6% | 1% | - |
44 | ZHANG Katie Qingyun | 1% | 6% | 22% | 36% | 27% | 8% | - |
45 | SHU Kayla | - | 10% | 31% | 37% | 19% | 3% | - |
46 | BASTUNAS Marissa | 4% | 19% | 35% | 29% | 11% | 1% | - |
47 | LEE Annalyn | 7% | 27% | 37% | 23% | 6% | - | - |
48 | GUO Jianing | 7% | 29% | 39% | 21% | 4% | - | |
49 | KIM Rylie | 6% | 26% | 37% | 24% | 7% | 1% | |
50 | LAI Olivia | 5% | 24% | 37% | 25% | 8% | 1% | - |
51 | VALOUEVA Katerina | 2% | 12% | 30% | 35% | 18% | 3% | - |
52 | KAIMAN Tabitha | 21% | 40% | 28% | 9% | 1% | - | - |
53 | FONG Isabel | 5% | 25% | 37% | 24% | 8% | 1% | - |
54 | ZHU Claire | 3% | 16% | 33% | 31% | 14% | 3% | - |
55 | CHEUNG Carabelle | 34% | 42% | 19% | 4% | - | - | |
56 | YANG Claire | 42% | 42% | 14% | 2% | - | - | |
57 | JUSON Julianne Lauren | 13% | 35% | 35% | 15% | 3% | - | - |
58 | LIU Madeleine | 24% | 40% | 26% | 8% | 1% | - | - |
59 | SCHOR Katherine | 36% | 42% | 18% | 4% | - | - | - |
59 | STOCK Nina | 74% | 23% | 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.