Fort Worth, TX - Fort Worth, TX, 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 | LIU Jaelyn A. | 100% | 100% | 100% | 100% | 100% | 93% |
2 | DOROSHKEVICH Taisiia | 100% | 100% | 100% | 98% | 83% | 39% |
3 | FEDELI Caterina S. | 100% | 100% | 100% | 100% | 100% | 94% |
3 | KOZLOWSKI Maya M. | 100% | 100% | 97% | 81% | 43% | 6% |
5 | CALISE Ella | 100% | 100% | 99% | 85% | 28% | |
6 | AYUPOVA AMELIYA | 100% | 100% | 99% | 91% | 57% | 14% |
7 | MANIKTALA Prisha | 100% | 100% | 98% | 79% | 36% | 6% |
8 | LAI Sophia | 100% | 98% | 82% | 46% | 12% | 1% |
9 | NISSINOFF Alexandra | 100% | 100% | 100% | 100% | 96% | 67% |
10 | PEVZNER Nicole | 100% | 99% | 92% | 65% | 23% | 1% |
11 | HSU Kaylin | 100% | 100% | 93% | 65% | 22% | - |
12 | SUN Chloe | 100% | 100% | 100% | 95% | 55% | |
13 | DAVIS Logan | 100% | 100% | 93% | 65% | 23% | 1% |
14 | SAIFEE Lamya | 100% | 93% | 57% | 9% | - | |
15 | LUO Miranda | 100% | 92% | 61% | 22% | 4% | - |
16 | HAFEZ Tahiyah | 100% | 98% | 83% | 44% | 10% | - |
17 | DENG Melissa | 100% | 86% | 48% | 13% | 1% | - |
18 | ZHANG Ivy | 100% | 90% | 56% | 19% | 2% | - |
19 | HAN Gian | 100% | 48% | 9% | - | - | |
20 | KRYLTSOVA Eva | 100% | 64% | 20% | 3% | - | - |
21 | BROWN Lola | 100% | 73% | 18% | 2% | - | - |
22 | CUI alivia | 100% | 95% | 71% | 31% | 6% | - |
23 | COX Sophia | 100% | 47% | 6% | - | - | - |
24 | LI Jasmine | 100% | 79% | 37% | 9% | 1% | - |
25 | PENG Charlotte | 100% | 99% | 90% | 50% | 13% | 1% |
26 | ALLEYNE Taylar | 100% | 100% | 93% | 67% | 24% | 1% |
26 | DESAI Esha | 100% | 65% | 22% | 3% | - | - |
28 | CHERNYKH Elina | 100% | 84% | 34% | 4% | - | |
29 | ALKADI Mai | 100% | 80% | 35% | 7% | 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.