Prime Fencing Academy - Dublin, CA, USA
Explore the probability of achieving at least a certain number of victories in the pool for each fencer, with their actual victories highlighted in a box. Learn more.
# | Name | Number of victories | |||||
---|---|---|---|---|---|---|---|
0 | 1 | 2 | 3 | 4 | 5 | ||
1 | SINGH Reyaansh | 100% | 97% | 81% | 44% | 11% | |
2 | SITU Baiqin | 100% | 100% | 99% | 93% | 67% | 24% |
3 | ZHU Claire | 100% | 97% | 75% | 33% | 6% | |
3 | VIEN Bradley | 100% | 88% | 55% | 21% | 4% | < 1% |
5 | CHOI William | 100% | 96% | 75% | 38% | 9% | < 1% |
6 | LEBURU Abhiram | 100% | 98% | 87% | 55% | 20% | 3% |
7 | KO Adeline | 100% | 100% | 94% | 72% | 31% | 5% |
8 | HO Kasper | 100% | 92% | 62% | 24% | 4% | - |
9 | KO Alyssa | 100% | 97% | 78% | 33% | 5% | - |
10 | LAI Olivia | 100% | 92% | 64% | 29% | 7% | 1% |
11 | ZHANG Katie Qingyun | 100% | 100% | 96% | 78% | 35% | 1% |
12 | XIE Garrett | 100% | 99% | 87% | 56% | 20% | 3% |
13 | TATINENI Charvi | 100% | 99% | 94% | 74% | 39% | 10% |
14 | QIAN Wilson | 100% | 99% | 85% | 46% | 11% | 1% |
15 | LIN Tiffany | 100% | 94% | 56% | 14% | - | |
16 | BHOOMI Abhiram | 100% | 91% | 58% | 20% | 3% | - |
17 | JAIN Shubhit | 100% | 98% | 86% | 56% | 22% | 4% |
18 | SINGH Shiv | 100% | 52% | 13% | 1% | - | - |
19 | WONG Elliot | 100% | 100% | 99% | 86% | 51% | 12% |
20 | SOUSA Lauren | 100% | 82% | 42% | 11% | 1% | - |
21 | NICHOLS Miranda | 100% | 100% | 96% | 73% | 28% | |
22 | RODRIGUEZ-REINA Julian | 100% | 99% | 90% | 63% | 25% | 3% |
23 | SHARMA Ari | 100% | 100% | 96% | 78% | 41% | 9% |
24 | TARANOV Mark | 100% | 93% | 64% | 27% | 6% | - |
25 | CHANDHOKE Ella | 100% | 100% | 99% | 85% | 44% | 6% |
26 | SINGH Aditi | 100% | 68% | 23% | 4% | - | |
27 | LAI Jayden | 100% | 100% | 94% | 69% | 31% | 6% |
27 | SANGANI Kavya | 100% | 100% | 90% | 47% | 10% | 1% |
29 | SANGANI Naveen | 100% | 100% | 92% | 62% | 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.