Houston, TX - Houston, TX, 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 | RAUSCH Ariana (Ari) M. | - | - | - | 3% | 17% | 41% | 38% |
2 | WANG Karen | - | - | 3% | 16% | 34% | 34% | 12% |
3 | WANG Elizabeth | - | - | 1% | 8% | 27% | 40% | 23% |
3 | LARA ORTIZ VALERIA | - | 2% | 11% | 29% | 36% | 19% | 3% |
5 | TAO Olivia A. | - | 1% | 7% | 23% | 37% | 27% | 7% |
6 | HUNTER Madison | 1% | 17% | 37% | 31% | 12% | 2% | - |
7 | ORTEGA Ivanna S. | - | 2% | 10% | 30% | 40% | 19% | |
8 | PHILLIPS Summer E. | - | 1% | 8% | 26% | 42% | 23% | |
9 | NUSSBERGER Amber I. | - | 1% | 6% | 21% | 36% | 28% | 8% |
10 | RUNIONS Emersyn | - | 2% | 12% | 31% | 35% | 17% | 3% |
11 | MEHROTRA Anya | - | 1% | 8% | 25% | 37% | 24% | 6% |
12 | ELLENT Isabella S. | 7% | 35% | 38% | 17% | 4% | - | - |
13 | FILIPPOV Nika D. | - | 4% | 20% | 36% | 28% | 10% | 1% |
14 | LIU Christina A. | - | 2% | 13% | 31% | 34% | 17% | 3% |
15 | BALAKRISHNAN Monica S. | - | 1% | 8% | 25% | 36% | 24% | 6% |
16 | SCHAFF Marlene M. | 4% | 23% | 38% | 26% | 9% | 1% | - |
17 | SUMRALL Emily M. | 4% | 20% | 36% | 29% | 10% | 1% | |
18 | MOTON Mckenzie R. | 4% | 21% | 37% | 28% | 9% | 1% | |
19 | LABBE Kathryn M. | - | 1% | 9% | 27% | 36% | 21% | 5% |
20 | PATEL Aditi S. | 4% | 26% | 38% | 24% | 7% | 1% | - |
21 | SANTA MARIA Luisa F. | 11% | 33% | 35% | 17% | 4% | - | |
22 | WATKINS Josephine M. | 17% | 38% | 31% | 12% | 2% | - | |
23 | TAYLOR Kiera S. | 1% | 9% | 29% | 35% | 20% | 5% | 1% |
24 | LABBE Audrey R. | 1% | 20% | 38% | 29% | 10% | 2% | - |
25 | DAVIS Audrey | 60% | 33% | 6% | 1% | - | - | - |
26 | PALMER Katherine A. | 52% | 37% | 10% | 1% | - | - | - |
27 | GUTIERREZ Mia | 80% | 19% | 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.