Fredericksburg Convention Center - Fredericksburg, VA, 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 | AL-BATTAINEH Eva | 100% | 100% | 100% | 100% | 99% | 90% | 53% |
2 | HU Sophie | 100% | 100% | 99% | 94% | 71% | 26% | |
3 | YACOBUCCI Nadia | 100% | 100% | 100% | 100% | 100% | 96% | 71% |
3 | ORBÉ-AUSTIN Maya | 100% | 100% | 100% | 100% | 97% | 82% | 41% |
5 | SINGH Evangelina | 100% | 100% | 99% | 90% | 54% | 9% | |
6 | YIN Chloe | 100% | 100% | 100% | 100% | 99% | 88% | 50% |
7 | ZHU Ella | 100% | 100% | 100% | 98% | 83% | 34% | |
8 | JOO Sara | 100% | 100% | 100% | 100% | 98% | 86% | 46% |
9 | CHO Olivia | 100% | 100% | 100% | 98% | 86% | 54% | 13% |
10 | FRASER Morgan | 100% | 100% | 100% | 100% | 96% | 79% | 36% |
11 | PARK Hannah | 100% | 100% | 99% | 93% | 71% | 33% | 5% |
12 | YANG Olivia | 100% | 100% | 100% | 98% | 81% | 34% | |
13 | DE CASTRO Kai | 100% | 100% | 99% | 93% | 68% | 24% | |
14 | KHETPAL Aalia | 100% | 99% | 91% | 66% | 30% | 6% | - |
15 | CHAN Jolene | 100% | 100% | 100% | 97% | 83% | 50% | 13% |
16 | HAFEZ Sahar | 100% | 100% | 99% | 93% | 68% | 27% | 3% |
17 | LI Christina | 100% | 100% | 97% | 78% | 38% | 8% | |
18 | ENRIQUEZ Bianca Perla | 100% | 100% | 99% | 94% | 71% | 31% | 4% |
19 | ZHU Alivia | 100% | 100% | 98% | 88% | 58% | 22% | 3% |
20 | LIU Bella | 100% | 94% | 72% | 37% | 11% | 1% | - |
21 | SMOLICH Emily | 100% | 100% | 99% | 88% | 60% | 23% | 3% |
22 | VO Evelyn | 100% | 97% | 79% | 45% | 15% | 2% | - |
23 | FAROOQI Eliora | 100% | 92% | 60% | 21% | 4% | - | - |
24 | ZHU Audrey | 100% | 100% | 97% | 83% | 51% | 16% | 1% |
25 | KIM Audrey | 100% | 100% | 95% | 69% | 21% | 2% | |
26 | PAEK Mila | 100% | 97% | 79% | 45% | 15% | 2% | - |
27 | BREWER Gracie | 100% | 100% | 97% | 83% | 49% | 16% | 2% |
28 | HUANG Emma | 100% | 100% | 96% | 79% | 45% | 13% | 1% |
29 | FENG Claire | 100% | 100% | 93% | 66% | 25% | 3% | |
30 | WANG Joann | 100% | 98% | 87% | 55% | 18% | 2% | |
31 | JAZWINSKI Ivy | 100% | 100% | 98% | 85% | 54% | 18% | 1% |
32 | LU Miaotian | 100% | 89% | 57% | 23% | 5% | - | - |
33 | TANG Clementine | 100% | 67% | 21% | 3% | - | - | |
34 | WANG Allyson | 100% | 88% | 52% | 17% | 3% | - | |
35 | DZIWULSKI Elisabeth Claire | 100% | 97% | 82% | 48% | 17% | 3% | - |
36 | KIM Lael | 100% | 98% | 82% | 48% | 17% | 3% | - |
37 | REILLY Carys | 100% | 99% | 94% | 73% | 37% | 10% | 1% |
38 | LI Katelyn | 100% | 84% | 43% | 10% | 1% | - | |
39 | HUANG Gabrielle | 100% | 98% | 85% | 53% | 20% | 4% | - |
40 | LALONDE Beatrice | 100% | 94% | 70% | 34% | 9% | 1% | - |
41 | CAPPIELLO Francesca | 100% | 75% | 32% | 7% | 1% | - | - |
42 | PAEK Ellie | 100% | 92% | 54% | 18% | 3% | - | - |
43 | WEST Mira | 100% | 60% | 19% | 3% | - | - | - |
44 | JU Victoria | 100% | 99% | 90% | 59% | 23% | 5% | - |
45 | IRIZARRY Nyla | 100% | 97% | 82% | 50% | 18% | 3% | - |
46 | SUN Erin | 100% | 87% | 50% | 16% | 2% | - | |
47 | DEVISETTY Anjali | 100% | 83% | 40% | 8% | 1% | - | |
48 | WANG Christina | 100% | 100% | 94% | 74% | 37% | 8% | |
49 | MA Laurie | 100% | 66% | 25% | 5% | 1% | - | - |
50 | HUANG Jiayu | 100% | 98% | 87% | 58% | 24% | 5% | - |
51 | ZELDIN Nina | 100% | 86% | 47% | 14% | 2% | - | - |
52 | HOLSTAD Anneliese | 100% | 77% | 36% | 10% | 1% | - | - |
53 | CLOUD Chrystie | 100% | 88% | 53% | 19% | 4% | - | - |
54 | JOSEPH Hannah | 100% | 98% | 85% | 53% | 20% | 4% | - |
55 | TAYLOR Tess | 100% | 78% | 33% | 5% | - | - | |
56 | YAO Emma | 100% | 85% | 48% | 14% | 2% | - | |
57 | ZHU Alicia | 100% | 83% | 42% | 10% | 1% | - | |
58 | LI Beatrice | 100% | 97% | 80% | 45% | 14% | 2% | - |
59 | PAK Sophie | 100% | 40% | 7% | 1% | - | - | - |
60 | LU Sophie | 100% | 100% | 96% | 79% | 43% | 12% | 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.