Thousand Oaks, CA - Thousand Oaks, 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 | 6 | ||
1 | YEU Irene | 100% | 100% | 100% | 100% | 100% | 99% | 84% |
2 | LEUNG Natalie | 100% | 100% | 100% | 96% | 76% | 32% | |
3 | MORGAN Lexiss M. | 100% | 100% | 97% | 83% | 48% | 12% | |
3 | BEI Karen | 100% | 100% | 100% | 99% | 89% | 61% | 21% |
5 | ZHOU Emily | 100% | 100% | 95% | 73% | 36% | 10% | 1% |
6 | JIN Jasmine | 100% | 100% | 99% | 89% | 60% | 25% | 4% |
7 | ERTAS Eileen | 100% | 100% | 95% | 77% | 43% | 12% | 1% |
8 | MYERS Helen Sophia A. | 100% | 100% | 99% | 91% | 66% | 29% | 6% |
9 | MYERS Jeanelle Christina A. | 100% | 93% | 69% | 34% | 9% | 1% | - |
10 | OPERARIO Abigail Z. | 100% | 97% | 81% | 49% | 17% | 3% | |
11 | LAVERY Chloe K. | 100% | 99% | 93% | 72% | 37% | 8% | |
12 | JIANG Corina | 100% | 94% | 68% | 30% | 7% | 1% | |
13 | DINGMAN Amanda | 100% | 100% | 95% | 74% | 37% | 8% | |
14 | QURESHI Aafreen | 100% | 100% | 94% | 74% | 39% | 9% | |
15 | DANIEL Olivia | 100% | 97% | 81% | 46% | 14% | 2% | |
16 | SOIN Anika A. | 100% | 94% | 69% | 33% | 9% | 1% | |
17 | BRYANT Michelle | 100% | 86% | 38% | 9% | 1% | - | - |
18 | DARANOUVONG Logan | 100% | 98% | 88% | 60% | 26% | 5% | - |
19 | DU Angela | 100% | 99% | 90% | 65% | 30% | 7% | - |
20 | JIANG Claire | 100% | 98% | 85% | 55% | 22% | 4% | - |
21 | WILLIAMS Sarah | 100% | 100% | 98% | 84% | 52% | 19% | 3% |
22 | OGANESIAN Alice N. | 100% | 71% | 29% | 6% | 1% | - | |
23 | MAHAL Riya | 100% | 94% | 68% | 30% | 7% | - | |
24 | SINHA Zara | 100% | 84% | 48% | 17% | 3% | - | - |
25 | LI Vivian | 100% | 76% | 34% | 8% | 1% | - | |
26 | MAHAL Anya | 100% | 48% | 10% | 1% | - | - | - |
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.