Santa Clara Convention Center - Santa Clara, 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 | HABEK Sophia | - | - | 3% | 17% | 42% | 38% | |
2 | CAMAMA Tessa | - | - | 1% | 6% | 21% | 41% | 32% |
3 | WANG Ziqiao (Claire) | 4% | 19% | 33% | 29% | 12% | 2% | |
3 | CHEN Stephanie | - | - | - | 2% | 18% | 46% | 34% |
5 | SCHOR Elisabeth | 2% | 12% | 31% | 36% | 17% | 3% | |
6 | XU Celina | - | 5% | 20% | 37% | 30% | 8% | |
7 | BHATT Anisha | - | 1% | 11% | 35% | 39% | 14% | |
8 | CHUNG Penelope | 3% | 17% | 32% | 31% | 14% | 2% | |
9 | WANG Jessie | - | - | - | 2% | 12% | 40% | 47% |
10 | DAYAL Saahira | - | - | 6% | 25% | 43% | 25% | |
11 | KOZLOWSKI Maya M. | - | - | - | 2% | 14% | 41% | 43% |
12 | XU Serena | - | 1% | 7% | 28% | 43% | 22% | |
13 | GUO Luxi | - | - | - | 3% | 19% | 50% | 28% |
14 | BURICEA Ada | - | 1% | 7% | 30% | 40% | 19% | 2% |
15 | CHIOU-WILLIAMS Matea | 1% | 9% | 27% | 36% | 21% | 5% | - |
16 | XU Jessica | - | 6% | 26% | 41% | 23% | 3% | - |
17 | LIN Ariel | - | - | 1% | 8% | 29% | 44% | 17% |
18 | MARTYNOVA Diana | - | - | 2% | 15% | 46% | 37% | |
19 | BLANCO Ariia | - | 2% | 13% | 33% | 36% | 14% | 2% |
20 | TANG RUIRUI | - | - | 4% | 17% | 37% | 34% | 8% |
21 | HANKINS Morgan | - | - | 2% | 15% | 39% | 36% | 8% |
22 | ZHUANG Lauren | - | 3% | 16% | 34% | 33% | 13% | 1% |
23 | DWIGGINS Reese | 2% | 15% | 31% | 31% | 16% | 4% | - |
24 | LIN Isabel | 7% | 25% | 35% | 24% | 8% | 1% | |
25 | FISCHBEIN Quinley | 1% | 14% | 41% | 33% | 10% | 1% | |
26 | GAN Shelby | 13% | 35% | 34% | 15% | 3% | - | |
27 | COHEN Shaina | 6% | 40% | 39% | 13% | 2% | - | |
28 | AIRES Julia | - | 2% | 15% | 38% | 34% | 10% | |
29 | JAMES Ashley | - | 3% | 15% | 31% | 32% | 16% | 3% |
30 | SCANLAN Claire | - | 1% | 6% | 23% | 38% | 27% | 5% |
31 | YIN Gabriela | 3% | 17% | 32% | 31% | 14% | 2% | |
32 | KANDALA Aanya | 4% | 21% | 36% | 28% | 10% | 1% | - |
33 | LEE Valerie | 5% | 23% | 36% | 26% | 9% | 1% | - |
34 | HSIU Elizabeth | - | - | 4% | 23% | 48% | 25% | |
35 | MOLLINIER Angel | - | 5% | 24% | 44% | 22% | 3% | |
36 | MCCLURE Samar | - | 5% | 19% | 33% | 29% | 12% | 2% |
37 | ZHU Riley | - | 2% | 11% | 29% | 36% | 18% | 3% |
38 | KELMAN Nora | 15% | 42% | 34% | 8% | 1% | - | - |
39 | SALISTRA Emilia | - | 1% | 10% | 33% | 40% | 16% | |
40 | SCHULTZ Nomi | - | 2% | 16% | 38% | 34% | 10% | |
41 | PATTERSON Liliya | 11% | 37% | 38% | 13% | 1% | - | |
42 | GLATZ Alesia | 1% | 17% | 41% | 31% | 9% | 1% | |
43 | CHIRASHNYA Mika | 4% | 18% | 33% | 30% | 13% | 2% | |
44 | KAUSHISH Sara | - | 4% | 15% | 32% | 34% | 14% | |
45 | JAIN Prisha | 13% | 46% | 32% | 8% | 1% | - | |
46 | ZHANG Helen | 2% | 14% | 32% | 32% | 16% | 3% | - |
47 | LI Yunxuan (Joy) | 1% | 8% | 23% | 34% | 25% | 9% | 1% |
48 | YOUSSEF Caroline | 3% | 15% | 32% | 31% | 16% | 4% | - |
49 | YANG Arianna | 23% | 40% | 27% | 9% | 1% | - | - |
50 | MENG Fina | 21% | 43% | 28% | 7% | 1% | - | - |
51 | SALAZAR Emma | 19% | 43% | 30% | 7% | 1% | - | |
52 | SIMHADRI Sanjana | 24% | 45% | 26% | 5% | - | - | |
53 | RADOV Una | 13% | 35% | 34% | 15% | 3% | - | |
54 | RIVERA MEZA Azul | - | 1% | 9% | 30% | 38% | 19% | 3% |
55 | HERNANDEZ-CHENG Isabel | 2% | 11% | 29% | 35% | 19% | 4% | - |
56 | JAIN Aashi | 32% | 44% | 20% | 3% | - | - | - |
57 | MADANNAVAR Trisha | 5% | 25% | 41% | 24% | 5% | - | - |
58 | LEE Emma | 10% | 37% | 39% | 13% | 2% | - | - |
59 | SCANLAN Alina Nev | 6% | 26% | 37% | 23% | 7% | 1% | - |
60 | LEE Grace | 29% | 41% | 23% | 6% | 1% | - | - |
61 | ZHAO Yanning | 8% | 29% | 37% | 21% | 5% | - | |
62 | LEE Alyssa | 34% | 42% | 19% | 4% | - | - | - |
63 | PENTAKOTA Amrutha | 23% | 42% | 27% | 7% | 1% | - | - |
64 | PRABHU Mihika | 60% | 34% | 5% | - | - | - | |
65 | SIDDABATHUNI ananya | 74% | 23% | 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.